A 1/14 Swing in the Electorate Has Consequences: SCHADENFREUDE OF THE DAY

Fox viewers were the last to know: the very consequential 100-Year Blue Flood that still left a lot of Trumpist True Believers, the pollsters that massively overcorrected, & the House Speaker running “the protection program” for those who know they are guilty and were relying on Red State-residence, a complaisant Justice Department, and a Congress which did not do its oversight job in order to keep them out of trouble:

Nate Silver says: If you translate the governorships Democrats now hold into electoral votes, it comes to 392–146. The swing is not the D+9%-points that the pollster average had as of Tuesday morning, but D+15%-points. And, while usually midterm results predict little, he thinks “a profoundly unpopular lame duck” midterm is different <https://www.natesilver.net/p/after-an-extraordinary-wave-what>. Pollsters were trying really hard—massively overtrying—not to get burned by hidden Trump voters again. And so we got lots of fixes unsubtly aimed at not overrating the Democrats that produced absolutely huge state misses: 9%-points in Texas, Georgia and North Carolina.

Plus, as Josh Marshall says, it is TwitterX, not Bluesky, that is the real echo chamber. Musk built a space that “made MAGA seem much more dominant than it was in the real world.” And journalists treated it as a barometer, and that is how the 2024 “vibe shift” story took hold. Bluesky users know they’re in a bubble. Gullible TwitterX users don’t. <https://talkingpointsmemo.com/edblog/we-didnt-know-until-this-day-twitter-was-the-echo-chamber-all-along>.

And Ron Wyden’s one-word victory statement is “Subpoenas”. Robert Garcia’s two words are “Lawyer up”.

But remember: Democrats are only somewhat less disliked than Republicans: favorability 47–53, against the GOP’s 41–59. Yes, a number of the Democratic-unfavorables are from Democrats who wish their politicians had not gotten into such a defensive cringe when they got the moral wind knocked out of them by actually losing the congressional popular vote in 2024. But still.


The big straw in the wind that made me sit up and take notice, as I said before <https://braddelong.substack.com/p/well-that-was-a-thing-bullet-dodged>:

At 6:50 pm pst on November 3, my daughter texted:

What did I miss?

I went to the gym and so only watched Fox News.

Yet by then it had been clear for two hours and more that there was no substantial polling error undercounting Republicans: that instead of polls being D+9 in a D+5 electorate polls were D+9 in a D+13 (UPDATE: D+15%-points) electorate. And yet Fox News (and Twitter) watchers were not aware of that fact.

And so we have:

Decoding Fox News: <https://x.com/DecodingFoxNews/status/2118318128149000528>: ‘A thread 🧵If you wanted to watch seven hours of Fox News personalities losing their ever-loving minds on election night but don’t want to waste seven hours of your life I’ve condensed it for you. Hour 1 - DENIAL - They had no idea what was coming…

Plus:

NBC News: <https://bsky.app/profile/nbcnews.com/post/3mzinlohqsg2y>: ‘A day after Democrats won the House majority, Speaker Mike Johnson told his staff in a phone call this morning he will not not stay on as Republican leader in the new Congress, according to four sources on the call.
<nbcnews.to/4z4BGRd>…

E. Perkins: ‘Huh, I would have assumed he wouldn’t have seen the news yet…

And:

Republican Speaker Mike Johnson: <https://www.instagram.com/reel/Dc4-1U8oHFl/?hl=en>: ‘These Democrats, Y’all. Impeachment’s not even the big concern. They [the Democrats] will turn ever committee in Congress into an investigative body. They will go after the President’s family, the cabinet, his donors, his friends. Half of you in this room will be targeted. I run the protection program. OK? I’m going to take care of you. We’re going to win. We’re going to win the midterm. Right?…

Subscribe now

Share DeLong’s Grasping Reality Weblog

Give a gift subscription

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##a-114-swing-in-the-electorate-has-consequences-schadenfreude-of-the-day
##neofascism
##public-reason
##schadenfreude-of-the-day
#a-114-swing-in-the-electorate-has-consequences
#midterms-2026
#blue-tsunami
#schadenfreude
#polling-error
#fox-news
#election-night
#echo-chamber
#mike-johnson
#guilty-protection-program
#nate-silver
#josh-marshall
#fox-viewers-were-the-last-to-know

The Ghost of Jean-Jacques Rousseau Drives Men Mad: ANNOYANCE OF THE DAY

It rebukes. It hands out mandates. It shares one mind, one heart, one spirit, and one will. What is it? It is Jean-Jacques Rousseau’s General Will, his La Volonté Générale. For, you see, when people vote, they either do or should do so based not on what they personally will but based on what they think the generality wills. And political liberty consists in being able—indeed required—to carry out the general will once majority voting has ascertained it, even or perhaps especially if one were to discover when the votes are counted that one had been mistaken about what the general will actually was. These Rousseauist ideas, or perhaps their ghosts, are leading to an awful lot of fuzzy thinking today. And they may spark a great deal of additional trouble in the future:

And commentators who think they do and certainly would reject Jean-Jacques Rousseau outright are reasoning from him anyway.

Share

The result is a bad reading of a shift at the margin, in a country still split along at least six largely independent lines of division. the move from R+1 to D+13 means only one voter in fourteen chose differently, and 60% of that came from turnout rather than people switching sides. The Republican floor is still about 13/28 of the electorate. The result is real and welcome, but it is not a change of a single unitary national heart. Calling it one is rather clownish.

For example, Andrew Prokop is said and I personally know him to be a smart man.

But Andrew Prokop is simply not anchored in reality today.

Give a gift subscription

Two years ago, a hair less than half the people who went to the polls voted for Democratic candidates. On November 3, 2026, 8/14 of the people who went to the polls voted for Democratic candidates. That’s 1/14 of the poll-goers changed their minds, or dropped out and were replaced by others who thought differently. That is a marginal change in how Americans think and vote. And yet we have:

Andrew Prokop: A Massive Blue Wave Just Hit America. Here’s What It Could Bring Next <https://www.vox.com/politics/508927/midterms-blue-wave-democrats-win-texas>: ‘Democrats won bigger than practically anybody expected Tuesday, and the post-Trump political era is here…. It’s a blue tsunami…. President Donald Trump’s approval cratering, and mounting outrage over gas prices, the war in Iran, healthcare, and corruption…. The historic shift…. Americans are waking up in a different country today — one in which voters have decisively repudiated Trump’s party…. The night was also, as election analyst Sean Trende put it, “a complete collapse of the Republican coalition.” Democrats will now have a chance to carry out the mandate they’ve been handed…

Share DeLong's Grasping Reality Weblog

And we have:

Derek Thompson: The Trump Decade Is Over <https://www.derekthompson.org/p/the-trump-decade-is-over>: ‘Ten years ago this week, Donald Trump stunned the world to win the US presidential election. Last night, in his final midterm election, the president’s party suffered a historic collapse…. I think the Trump Decade is over. And, frankly, I think I might still be in a state of shock…. When commentators say “I don’t recognize this country,” they typically mean it in a bad way. But, in my frazzled state of disbelief, I’m genuinely finding it hard to wrap my mind around an election result where Kansas voted like New Hampshire and Mississippi voted like Wisconsin…

Leave a comment

And:

Timothy Burke: The News: The White Feather <https://timothyburke.substack.com/p/the-news-the-white-feather>: ‘It’s all good news today. It’s great news, in fact. Resist anyone who tries to reductively encompass the electoral results… as just being about a couple of narrow mistakes: a war here, a tariff there. That bullshit is already being shovelled…. This was a strong national majority saying that they’re sick of…the dysfunction… cruelty… the American government… threatening to attack Canada and seize Greenland… masked paramilitary goons drag[ging] men and women out of their cars… the corruption… oligarchs doing as they please… plugging beef tallow and ivermectin… seeing a President kiss Putin’s ass… watching white-collar criminals buy their way to pardons…. Voters who went [Democrats’] way are furious over… the entirety of the last decade, with everything from 2016 until November 3, 2026, including the Biden interregnum…. More than a few actors and screenwriters and publicists and producers… began to laboriously reinvent themselves as loyally MAGA-adjacent…. Our job now [is] to hold the cowards accountable…. It was only two years that they needed to dig in before this country’s people forcibly demanded change. We need that generation… to step aside…. They ran in cowardly disarray…. We need to be ready in 2028 to move decisively into a future where dreams are possible and nightmares a fading memory…

Refer a friend

And:

Noah Smith: Normal Americans Punished MAGA <https://www.noahpinion.blog/p/normal-americans-punished-maga>: ‘Texas and Kansas and South Carolina have been turned blue by a coalition of voters who aggressively, emphatically neither know nor care about gender-swapped Draco Malfoy, or Anakin Skywalker memes, or any of the other nonsense that bounces around the rightist echo chambers on X and 4chan. It was a coalition that never read Elon’s never-ending stream of tweets about James Talarico wanting to “trans your kids and destroy the border”. It was a coalition that does not know or care whether it’s white French people or brown French people burning down Paris this week…. Normal Americans do exist — in great numbers, in fact….

The risk now is that [Democrats] don’t learn…. Just as MAGA convinced themselves that the average American was a meme-spouting rightist, Democrats might marinate in their own echo chambers, egged on by leftist activists and progressive pressure groups and Bluesky cancel-culture warriors…

Get 75% off a group subscription

And:

Zack Beauchamp: Trump’s Authoritarianism Caused the Democratic Tsunami <https://www.public-reason.com/p/trumps-authoritarianism-caused-the>: ‘This election was primarily a revolt against Trump — and, specifically, his flagrant disinterest in actually delivering… cost-of-living improvements…. The Iran war is the biggest culprit, but corruption and the tariffs seem (among other things) to have mattered. These decisions were… the direct product of the authoritarian structure of the second Trump administration…. American democracy is a lot more resilient than is widely appreciated. There are very few other countries where an elected strongman has received this kind of decisive rebuke from voters less than two years after launching an authoritarian takeover bid…. Deep reservoirs of American democratic strength pushing back on him. That’s pretty damn great…

And:

Matthew Yglesias: The Way Forward <https://www.slowboring.com/p/the-way-forward>: ‘The country that delivered a real mandate to Donald Trump in 2024 — a mandate to secure the border and bring down inflation — turned sharply against him because he utterly failed to bring down inflation and embarked on an alarming orgy of corruption. Those choices set the table for a plausible Democratic Senate majority despite the map, and then Democrats ran very good candidates in a lot of key races…. If they make smart choices, they can spend the next two years putting the boot on the neck of MAGA and the four after that restoring the country’s confidence in Democrats. If they get sloppy, lazy, or undisciplined, we’ve seen over and over again that large electoral swings are very real and they happen in both directions…

To all of these, my friends, I say: NO NO NO NO NO NO NO! NO!!!!!

Probably it was that madman Jean-Jacques Rousseau’s fault. He wrote that when people vote in elections they do not or should not vote for what would be good for them individually but for what would be good for all collectively:

Jean-Jacques Rousseau (1762): The Social Contract <https://www.gutenberg.org/files/46333/46333-h/46333-h.htm>: ‘When in the popular assembly a law is proposed, what the people is asked is not exactly whether it approves or rejects the proposal, but whether it is in conformity with the general will, which is their will. Each man, in giving his vote, states his opinion on that point; and the general will is found by counting votes. When therefore the opinion that is contrary to my own prevails, this proves neither more nor less than that I was mistaken, and that what I thought to be the general will was not so. If my particular opinion had carried the day I should have achieved the opposite of what was my will; and it is in that case that I should not have been free…

Thus the electorate, the people, is a hive-mind. Their disagreements are simply different noisy registers of what their collective will is. They really have one purpose, one mind, one set of values. Thus the opinion as registered by the majority is indeed the opinion of all—or of all in their best-self aspects, as fellow-citizens of the republic who believe in and share the general will.

That is the only context in which it makes any sense to find oneself speaking of voters as a group with a single agency that does things that it wills the same way I pick up this coffee cup at my left hand.

This is the only context in which it is anything other than ludicrous bozo-the-clownish nonsense to say that we have:

  • Prokop’s “voters… decisively repudiated Trump’s party… Democrats… have been handed [a mandate]”,

  • Trende’s “complete collapse of the Republican coalition”,

  • Burke’s “voters… furious over… everything from 2016 until November 3, 2026, including the Biden interregnum…”

  • Smith’s “coalition of… normal Americans… in great numbers”,

  • Beauchamp’s “decisive rebuke… less than two years after launching an authoritarian takeover bid”,

  • Yglesias’s “the exact same country… delivered a real mandate to Donald Trump in 2024… [and now has] turned sharply against him…”.

As I wrote earlier today <https://braddelong.substack.com/p/well-that-was-a-thing-bullet-dodged>: The Republican floor is still 13/28 of the electorate: older, whiter, rural, and “evangelical” (and profoundly unChristian, if I may say so). It splits roughly in half between self-described MAGA voters and party loyalists who say Trump wasn’t a factor in their vote. Four-fifths say high prices aren’t Trump’s doing. Few report feeling under affordability pressure. A move from R+1 in 2024 to D+13 in 2026 means only one voter in fourteen chose differently. Only 40% of that was conversion, and half of that was of people who say they dislike both parties. 60% was turnout.

In 2024 the Baddies won. In 2026 the Baddies lost. In neither case did the voters speak with their one single voice which is their shared general will. The country is divided: male-female, white-Black, nonHispanic-Hispanic, rich-poor, uneducated-educated, southernrural-northernurban, and more than those six largely-independent axes. And, since the ascension of Newt Gingrich in 1993, a Republican Party that has gone whole-hog behind the plan of doing everything they can to break the country in two along some of those fault lines in the hopes of coming away with the larger or at least the gerrymandered part so that they can please kleptocrats and plutocrats in this their life in office, and receive the rewards of their subservience in their next life in post-political retirement.

There are grave problems with a political system that rests upon the fiction that a country has a single general will that everyone shares, and that individual voters choose based on their noisy perception of that general will in which they participate. It would be good if there were such a general will. And much of the craft of political action is the use of public reason to construct such a thing.

Work hard to do so. But, meanwhile a great deal of nonsense is being said today, based on lazy and unexamined and false Rousseauist premises and assumptions that such a thing exists.

Subscribe now

Share DeLong's Grasping Reality Weblog

Give a gift subscription

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##the-ghost-of-jean-jacques-rousseau-drives-men-mad-annoyance-of-the-day
##public-reason
##annoyance-of-the-day
#the-ghost-of-jean-jacques-rousseau-drives-men-mad
#general-will
#volonte-generale
#social-contract
#midterms-2026
#mandate-myth
#political-theory
#hot-takes
#swing-voters
#polarization
#democratic-theory

Well, That Was a Thing!: BULLET DODGED OF THE DAY

But who are those 1/14? They are less converts than shows and no-shows. Why did they choose differently? Corruption, checks-and-balances, and prices. And who the f*** are the 13/28 of those who show up to the polls who still think it is a good idea to pull the lever for Trump-subservient candidates? southern & rural & “evangelical” & in a different and non-factual universe:

My Visualization of the Cosmic All is simply not: it crashes, reboots, and then crashes again whenever I try to contemplate the 2024 next to the 2026 American electoral map.

The Republican floor is still 13/28 of the electorate: older, whiter, rural, and “evangelical” (and profoundly unChristian, if I may say so). It splits roughly in half between self-described MAGA voters and party loyalists who say Trump wasn’t a factor in their vote. Four-fifths say high prices aren’t Trump’s doing. Few report feeling under affordability pressure. And for three hours last night Fox News viewers kept thinking that the vote was going to be D+5 rather than D+13 because that is what they were told. Mostly, the Republican floor simply inhabits a different and non-factual world.

A move from R+1 in 2024 to D+13 in 2026 means only one voter in fourteen chose differently. Only 40% of that was conversion, and half of that was of people who say they dislike both parties. 60% was turnout.

The move came because of prices, corruption, and checks-and-balances. 3/5 of voters:

  • call corruption “crucial”,

  • want congress to check the president,

  • blame high prices on Trump’s policies, with tariffs hurting the economy and the Iran war being a mistake.

Gas and diesel prices worry everyone.


We have:

What were the regions that swung Republican, and why? God knows what that Oregon red arrow is: I cannot figure it out: I conclude it is an early-data error. NY-12 (Manhattan) shifted 7.7%-points toward Republicans as Democrat Micah Lasher leads Republican Caroline Shinkle by only 77.2% to 20.0% in this election. South Dakota now looks like it moved toward the Democrats, but only by 1.9%-points (and Republican candidate Marty Jackley is, I am told, the well-regarded state attorney general). And the two midwestern arrows are also early-data errors.


At 6:50 pm pst on November 3, my daughter texted:

What did I miss?

I went to the gym and so only watched Fox News.

Yet by then it had been clear for two hours and more that there was no substantial polling error undercounting Republicans: that instead of polls being D+9 in a D+5 electorate polls were D+9 in a D+13 electorate. And yet Fox News (and Twitter) watchers were not aware of that fact.


Why the 1/14, and how did we get there? There were people who switched, people who voted for Trumplicans in 2024 who stayed home, and people who voted against Trumplicans in 2026 who did not show up in 2024, and the very large supermajority of the electorate who simply marked the same checkboxes.

Indeed, that is very important. The exit polls say that only about 1/33 of 2026 voters were Trump 2024 voters who backed a Democrat for the House, and about 1/100 went the other way. By contrast, the 2026 electorate who claim they voted in 2024 claimed that they voted Harris +3 in a country that went Trump +1.5. That doesn’t mean that they are telling the truth, or remembering correctly. But it is a straw.

Then you need to add in the first-time and lapsed voters breaking about 69–25 Democratic. The gains were largest among the groups Trump “borrowed” in 2024:

  • under-30s,

  • Latino men,

  • Asian-Americans,

  • Catholics,

  • independents,

  • low-income voters.

Their reason was the one they gave in 2024: prices. AP’s poll says: voters blamed Trump’s policies by name:

  • 62% saying high prices were mostly Trump’s doing, and they went D 83–15.

  • 65% said tariffs hurt the economy.

  • 65% said Trump’s policies worsened the economy. Only 27% said they improved it.

  • 63% called the Iran war the wrong decision. 74% said the war was a crucial or major factor, and they went D 63–35.

  • 87% were concerned and 59% very concerned about gas and diesel prices, and they went D 65–33.

  • 54% said Trump policies raised their healthcare costs.

Moreover, 54% of voters called corruption “crucial”, and went D 62–36.

  • 62% saying Trump puts his own interests first, going D 85–12.

  • 71% including 2/5 of Republicans said Congress is not doing enough to check Trump.

But:

  • while 60% disapprove of ICE, and 57% say immigration enforcement has “gone too far”, even so Republicans still led on handling immigration 44–41. Immigration held the GOP floor together.

  • 15% disliked both parties, and went D 59-34. This time.

  • 38% viewed the Democratic Party unfavorably and the Republican Party favorably.

  • AP reports voters choosing “needed change” over “right experience”.

  • The Republican floor, the 13/28, lives in a different factual world. 80% say high prices aren’t Trump’s doing.


My map of the electorate has divided it male-female, white-Black, nonHispanic-Hispanic, rich-poor, uneducated-educated, and southernrural-northernurban, viewing those as six largely-independent axes. That is itself much too complex. But even that is, I think, not adequate for me to understand what is going on.


But it did matter. For the 1/14—which consist of 1/40 Harris 2024 voters showing up and Trump 2024 voters not, 1/40 switchers, and the rest new and lapsed voters—are enough to mean that while in 2024 the Baddies won, in 2026 the Baddies lost.

Thus we have:

Abdul Al-Sayed: <twitter.com/KaivanShr…>: ‘To all the parents who struggled to explain to their kids why the president openly mocks someone for their name or how they pray, let them know tomorrow that the bad guys lost…

Of course, that being Twitter, immediately below it—even in my Twitter feed carefully curated to show, overwhelmingly, rainbows and puppies and unicorns—we have this hive of scum and villainy:


And these are going to change, as they have not yet been properly reweighted:

Subscribe now

Share DeLong’s Grasping Reality Weblog

Give a gift subscription

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##well-that-was-a-thing-bullet-dodged-of-the-day
##public-reason
##neofascism
##dodged-of-the-day
#well-that-was-a-thing
#midterms-2026
#blue-tsunami
#exit-polls
#anti-trump-majority
#cost-of-living
#tariffs
#iran-war
#gas-prices
#government-corruption
#checks-and-balances
#fox-news-bubble

CROSSPOST: JOHN GANZ: American NeoFascism: Where We Are At

John Ganz distingishes between three things: (1) a fascist movement (which in the Holy Name of the One Who Is Trump certainly leads and stokes); (2) a fascist governmental executive (which Trump wants to lead, and which the corrupt partisan Republican Supreme Court supermajority is eager for him to create via the “unitary executive”); and (3) a fascist state and society (in which “coördination” has been accomplished and we see total bureaucratic and media and substantial cultural submission):

John’s thesis, as I understand it: Right-wing paramilitary street violence has failed to become a sustained political force.

Share

It is largely that failure that has saved us. It is that that has kept us from the roiling boil of martial law and police repression.

That roiling boil would have resulted in a régime that turns its punitive power into an effective military and police repressive force. Then that, with sufficient mass mobilization, would have produced the radicalization needed for full-blown fascism proper:


CROSSPOST: JOHN GANZ: American NeoFascism: Where We Are At

<https://www.unpopularfront.news/p/where-were-at> <https://www.unpopularfront.news>

Unpopular Front
Where We’re At
Tonight from 8 PM, I’ll be doing a livestream with Jamelle Bouie of The New York Times to discuss the midterms. You can tune in on Jamelle’s YouTube channel, and I believe we’ll also have a link that we’ll drop on BlueSky, Twitter, and here in the chat and on “Notes…
Read more
How Fares the Fascism Thesis?

John Ganz

2026-11-03

Almost exactly two years ago, I wrote a piece called “Testing the Fascism Thesis” with the subtitle “Keeping Myself Honest.” In it, I attempted to make the case that the fascism analogy wasn’t merely a piece of alarmist rhetoric but actually was a useful tool to assess the Trump movement and regime, and it even had some predictive power. I likened it to a “research programme” as described by the philosopher of science Imre Lakatos. In his theory, a “degenerating research programme” merely explains retroactively and alters its hypotheses to accommodate an emerging reality, but a “progressive research programme” will actually predict novel phenomena. I believed that the fascism research programme, as it were, had already proved itself to be progressive: believers that Trumpism had a lot in common with historic fascism predicted that something like January 6th would happen; doubters mocked this as mere hysteria. The fact that it didn’t work is immaterial, a little like saying that a diagnosis of cancer is false because the patient didn’t die. Of course, there are many different types and severities of cancer.

Back in November 2024, I hazarded 12 predictions of what a Trump regime might do if one understood it to be fascist or fascioid. I’d not invoke the philosophy of science today. I’ve become much more interested in what the Aristotelian tradition has to tell us about politics. For Aristotle, a historical analogy is part of a body of practical wisdom. It helps us judge a particular situation and deliberate on how to respond. Reasoning about real political events always deals with what’s merely probable: we can’t demonstrate our propositions with scientific certainty; we must always judge and therefore approximate, but we can do so with greater or lesser accuracy and revise our judgments based on the evidence. I’d probably say that the fascism analogy is an instance of what Aristotle called a paradeigma—the origin of our term “paradigm”—or reasoning by example, where one uses a historical case to illuminate a yet-unknown present one, proceeding from part to part, or “like to like.” In the Rhetoric, there’s a very apt example: Dionysius of Syracuse requested bodyguards; therefore it was reasonable to argue that he was planning a tyranny, since Peseistratus and Theaganes of Megara did the same before they installed their own tyrannies. In like manner, if Trump or his cronies are doing something that Mussolini or Hitler did, it might be reasonable to suspect they have similar designs. Fascism is just one analogy, one paradigm of political judgment, but it’s not the only one, nor even necessarily the best one, especially if applied in isolation or in a dogmatic and blinkered way. But I still insist it does supply something valuable to our understanding, especially if properly qualified and combined with other examples and experiences.

Anyway, all that theoretical throat clearing is sort of neither here nor there. The initial exercise stands, and right before the midterms, I’d like to go through the list and see what has come true and what hasn’t.

The use of state-tolerated or encouraged mobs, either organized into paramilitaries or quasi-organized, to physically intimidate, maim, or kill political enemies and even unreliable allies. This is a big one and arguably already has come true. If this is a regular part of the politics of the next few years, I think the fascism thesis is in pretty good shape…

It came true on January 6th, but then it really didn’t develop. Paramilitaries and street fighters are not really a part of the political practice of Trumpism 2.0. The Proud Boys are not out there cracking skulls; The militias are not roving the streets of American cities. Researcher Dan Trombly, who wrote a guest post on political violence for this newsletter, called this a “failure to become fascist”: “the rise and decline of streetfighters as symptomatic of their failure to generate a dynamic fascist force within the MAGA movement.” I think this is very well-observed: there has been a marked sense of disappointment and failure of the most fascist elements within MAGA among the extreme right.

The use of mobs/paramilitaries as deputies to general state repression of dissent. This also would be a big red flag, but I have less confidence in this coming true. I think the cops will be enough.

Similar to the above. There are, however, two things to consider: First, there have been quite a bit of death threats and harassment directed at those who obstruct the administration—particularly judges and their families—suggesting that decentralized intimidation can do some of the same work as an organized mob. Second, the administration’s use of ICE against political speech and protest is a clear effort to turn a federal agency into a political police force.

Suspending elections or using violence, particularly assisted by paramilitaries or mobs, to disrupt elections. I don’t really see elections being in serious danger—at least, at first…

Well, we’ll see tonight, I guess, but I really don’t see the attempts to subvert the midterms being successful or even significant. I predict a pretty normal election. With that being said, they are trying to do something, and their apparent inability to pull it off tells us more about the limits of their power than the limits of their ambitions.

The use of the state security apparatus on domestic political rivals. This one needs no explanation…

Confirmed, but with significant failures. Comey and James are the obvious examples, but this goes well beyond Trump settling personal scores. The NSPM-7 memorandum gives the hunt for domestic enemies a bureaucratic framework, complete with investigations into political organizations and their supposed paymasters. The Justice Department placed the prosecution of 15 people associated with Direct Action Minnesota under this umbrella. Officials also called the Prairieland terrorism convictions an opening victory in their war on “antifa.” Prosecuting someone for shooting a police officer is one thing; treating the incident as a warrant to go hunting the left and its “funding networks” is another.

The use of federal troops and officers for mass deportations; the creation of a system of detention camps for the same purpose…

Yes, but again with some big failures and retreats along the way. Federal officers, military deportation flights, detention camps on military bases: all of these have happened. Add the wanton cruelty of third-country deportations, shipping people to countries where they have no ties, and the delivery of Venezuelans to El Salvador’s CECOT prison, where Human Rights Watch and Cristosal documented systematic torture. But the most grandiose plans have not survived contact with reality: the projected 30,000-person operation at Guantánamo was scaled back, and the much-hyped “Alligator Alcatraz” abandoned after less than a year. Surging arrests have run up against legal and logistical limits on deportations. But falling short of the administration’s ambitions is cold comfort to the people caught in the machinery.

The purging of “old regime” military officials and bureaucrats and replacement with new regime loyalists…

Confirmed, with pronounced racial, gender, and ideological dimensions. The purge of supposedly “woke” military leadership includes Joint Chiefs chairman General C. Q. Brown, who is black, and Admiral Lisa Franchetti, the first woman to lead the Navy. The campaign against “DEI” supplied an ideological rationale for removals, and civil-service applicants were asked how they would advance Trump’s policies. There are clear limits, though: a federal judge blocked that hiring question, and removing established officials does not automatically produce a reliably obedient replacement. Every vacancy, firing, or workforce reduction can’t be counted as a successful installation of an apparatchik. The purge is happening, but total institutional submission is another matter.

The use of extreme, dehumanizing rhetoric against regime opponents. Again, something already arguably fulfilled…

Confirmed. An easy one: The “enemies of the people” and “vermin” language, as well as the lie about Haitians eating pets, were already on the record when I wrote this. Trump has since called Somali-Americans and Ilhan Omar “garbage” and demanded that Omar, an American citizen and member of Congress, be thrown out of the country. This fusion of the categories of political opponent and racial enemy is definitively fascist.

A “state of emergency:” a suspension of civil liberties in the case of civil unrest or a terrorist attack. Invocation of Insurrection Act, troops on the streets of American cities. This is the “Reichstag fire” scenario. I think this would just simply prove the thesis, but not actually among my biggest fears…

Not fulfilled. Troops did appear on American streets, but the general suspension of civil liberties didn’t follow. The attempt to turn Charlie Kirk’s assassination into a pretext for a crackdown fizzled as the decisive emergency “Reichstag” moment, although it left behind NSPM-7 and the campaign against “antifa” discussed above.

The use of questionable constitutional “hardball” to ram through executive actions and circumvention of the separation of powers, i.e. proroguing Congress and doing recess appointments of cabinet members. These are sort of yellow flags: this is strongman behavior, and concerning, but sort of generally authoritarian than necessarily fascist…

Confirmed in substance, although the administration found other routes than the ones I guessed at. The freeze of congressionally appropriated funds and the efforts to keep favored prosecutors in office through disputed appointment maneuvers both qualify, I think. Congress was not prorogued, and recess appointments didn’t become the means of installing the cabinet.

An aggressive, jingoistic war to cover up a domestic failure. Trump’s supposed dovishness may come into play, but there are a lot of “neocons” in that administration already: if we intervene in Mexico to go after cartels, say, or pick a fight with Iran, I think fascism is back on the menu…

Check, but it hasn’t been in any way effective in covering up failure or rallying the public to the regime. I still think the most plausible explanation is that Trump’s failure to deliver on the domestic program encouraged a turn abroad, where the administration could demonstrate unlimited power and recover a sense of momentum. Instead, they were met with a quagmire. There’s a clear parallel with Mussolini’s attempt to reinvigorate his regime through imperial adventure, particularly the invasion of Ethiopia after the stagnation of the Depression years. Foreign conquest was used to make the feeling of national regeneration tangible. In Trump’s case, however, the supposed way out became another political failure. Womp womp.

Attacks on the rights of citizenship, in the form of abrogation of birth right citizenship and/or mass denaturalizations. This is a big one for me, as it would involve a suspension of the Constitution. Trump’s people want to cancel the 14th Amendment by executive fiat and then hope the Court ratifies this move. Big red flag…

Confirmed, but with significant resistance. Trump attempted the executive assault on birthright citizenship described above, although the Supreme Court rejected his original order—rather too closely, if you ask me. The administration has also expanded denaturalization proceedings and investigated Ilhan Omar’s citizenship after Trump demanded her expulsion. These efforts have not produced the wholesale cancellation of citizenship rights, but the nature of the attack itself is unmistakable. Again, the courts’ willingness to stop parts of it qualifies the administration’s success, but not my predictions.

“Cultural fascism:” A marked uptick in hate crimes, interpersonal sadism, the return of the casual and routine use of slurs to humiliate minorities, etc. Sort of hard to test, but more a kind of atmosphere. If this other stuff is happening, I imagine the feeling in the country will get a lot uglier…

Mixed, and probably overstated as a prediction of the national mood. There is plenty of public cruelty, racist rhetoric, and open delight in humiliation, including from the administration itself and its orbiting “influencers.” But that doesn’t establish a general transformation of everyday life or popular attitudes. Reported hate crimes actually declined in 2025, cutting against the most measurable part of this prediction. The hoped-for—or feared—“vibe shift” has not clearly materialized. The regime’s enthusiasm for sadism is evident; the country’s conversion to it is not, thank God.

Okay, so how are we doing? I think Trombly’s “failure to become fascist” is one decent way to assess these facts and takes into account the bitter disappointment of the extreme right that is now loudly defecting from MAGA. The most fascist elements of the Trumpian coalition have certainly not gotten all their wishes. But I think perhaps it would be more accurate to speak of an impotent or frustrated fascism. I must say that MAGA would most likely be a failed fascism is something I’d been positing since 2022, at least.

We have to distinguish between a fascist movement and a fascist regime. And also, to the latter, we must add three moments: fascist government—check, Stephen Miller as our Nazi “prime minister” etc.—fascist state—partial, not a total takeover of the bureaucratic structures—and fascist society, where fascist institutions and attitudes constitute the national “spirit”—not really at all. What we now possibly face is the exhaustion of the movement before the successful consolidation of the regime. One can also refer here to Robert Paxton’s Five Stages of Fascism: “1) the initial creation of fascist movements; (2) their rooting as parties in a political system; (3) the acquisition of power; (4) the exercise of power; and, finally, in the longer term, (5) radicalization or entropy.” It seems today that a failure in stage 4 has resulted in entropy rather than radicalization in stage 5.

That doesn’t mean an end to all dangers, but it does change their character. For the next two years, we’re most likely going to be fighting an isolated core that still has the levers of government but has no mass support. They still retain enormous powers to punish. They will still likely turn abroad again as their domestic powers are curbed. Like a cornered animal, they will become desperate and lash out wildly. But I believe American democracy, although badly battered, will survive. In the years to come, though, it will require a lot of care and attention to be brought back to full health. Otherwise, we will be back in the same situation soon, and perhaps without the luck.

<https://www.unpopularfront.news/p/where-were-at> <https://www.unpopularfront.news>

Unpopular Front
Where We’re At
Tonight from 8 PM, I’ll be doing a livestream with Jamelle Bouie of The New York Times to discuss the midterms. You can tune in on Jamelle’s YouTube channel, and I believe we’ll also have a link that we’ll drop on BlueSky, Twitter, and here in the chat and on “Notes…
Read more

Brad DeLong here: Ganz made 12 specific predictions in November 2024 regarding the behavior of a fascist or fascioid Trump regime:

Give a gift subscription

  • “state-tolerated or encouraged mobs… paramilitary or quasi-organized…”; yes on January 6, 2021; but not since.

  • “mobs/paramilitaries as deputies to… repression…”; stochastic individual death threats, including notable judges; but no more.

  • “suspending elections or using violence… to disrupt elections…”; not, or at least not yet.

  • “use of the state security apparatus [againts] domestic political rivals…”; baby steps, so far.

  • “federal troops and office for mass deportations; the creation of a system of detention camps…”; yes.

  • “purging of ‘old régime’… officials”; yes.

  • “extreme, dehumanizing rhetoric against régime opponents…”; yes.

  • “suspension of civil liberties in the case of civil unrest or a terrorist attack… the ‘Reichstag fire’ scenario…”; yes.

  • “constitutional ‘hardball’ to ram through executive actions and circumvention of the separation of powers…”; yes.

  • “aggressive, jingoistic war to cover up… domestic failure…”; attempted, but not followed through on.

  • “attacks on the rights of citizenship…”; yes.

  • “uptick in hate crimes, interpersonal sadism, the return of the casual and routine use of slurs to humiliate minorities…”; yes, but turns out to have been largely counterproductive for the Trump régime.

Share DeLong's Grasping Reality Weblog

Let me repeat John’s sum-up:

I think Trombly’s “failure to become fascist” is one decent way to assess these facts…. The most fascist elements of the Trumpian coalition have certainly not gotten all their wishes. But I think perhaps it would be more accurate to speak of an impotent or frustrated fascism…

Here it is at greater length:

Dan Trombly: Will the Streets Run Red? <https://www.unpopularfront.news/p/will-the-streets-run-red>: ‘Far more effort was spent shoring up the GOP’s advantages in institutional and legal arenas in order to contest the 2024 election than attempting to reconstitute a right-wing street force…. Streetfighters in disarray and the absence of a serious militant base to push Trump or the Republicans further than they were willing to go contributed to the non-factor of organized political violence in the 2024 elections…. The absence of substantive organizations and subcultures to… promote an élan of action and sacrifice… embolden[ed]… by a sense of impunity…. Even in the social media age, the organization of violence still matters…

The cycle of street violence followed by martial law used to justify large-scale police repression of régime opponents and then further street violence is something I thought we were going to see after January 21, 2025. But nobody in the Trump régime took up the baton to spark and organize that, with the exception of the regional ICE sweeps.

Subscribe now

Share DeLong's Grasping Reality Weblog

Give a gift subscription

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##crosspost-john-ganz-american-neofascism-where-we-are-at
##neofascism
##chaos-monkey-governance
##crosspost
#john-ganz-american-neofascism-where-we-are-at
#john-ganz
#american-neofascism-where-we-are-at
#where-we-are-at
#failed-fascism
#trumpism
#maga-movement
#dan-trombly
#political-violence
#street-fighters
#paramilitaries
#regime-consolidation

Anomalous Corporate Earnings Numbers?: CHART OF THE DAY

Nominal GDP growth and nominal corporate earnings growth do tend to move together most of the time, with the second being an amplified version of the first. But only most of the time, only when income distribution is stable and corporate accounting is honest:

And so I think this gets it wrong:

From the very sharp Torsten Slok, again (I find him arresting my attention rather frequently these days). He comments:

Torsten Slok: 10% Nominal GDP Growth Coming? <https://www.apollo.com/wealth/insights-news/insights/daily-spark/10-percent-nominal-gdp-growth-coming>: ‘Nominal GDP growth is currently solid at around 6%, while S&P 500 earnings growth has surged to nearly 40% YoY. A simple regression based on the historical relationship between the two suggests that the current pace of earnings growth is consistent with nominal GDP growth of 10%, see chart below…. [If so, then] interest rates will stay higher for longer, particularly when combined with the ongoing fiscal challenges…

But I think this is wrong. I do not see the flood of demand coming that would drive such a huge spending acceleration and rapid runup in inflation. What I see, instead, is a shift from labor to capital. That appears to be one thing that Trump is managing to create.

Subscribe now

Share DeLong's Grasping Reality Weblog

Give a gift subscription

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##anomalous-corporate-earnings-numbers-chart-of-the-day
#macro-outlook
##chart-of-the-day
#anomalous-corporate-earnings-numbers
#corporate-earnings
#nominal-gdp-growth
#earnings-growth
#torsten-slok
#inflation-risk
#labor-to-capital
#income-distribution

Election Night 2026

A timetable for when to watch, what to watch, and what each early result is likely to tell you as Americans vote in the context of a chaos-monkey Trump with a -23%-point net approval rating. Forecasters say Democrats are favored to win both House and Senate control. A gerrymandered map, a likely-voter screen and a $10 billion ad war are the ways it could still fall short:

It is a cliché, but democracy really is on the ballot. Again.

Share

We have:

<https://www.the-downballot.com/p/the-downballots-2026-poll-closing>

Give a gift subscription

And this is what you are supposed to be watching, according to: <https://decisiondeskhq.substack.com/p/key-house-races-to-watch-early-on>:

Decision Desk HQ
🗳️ 🕕 🕖 Key House races to watch early on Election Night
🍺 What’s on tap 🚰…
Read more

15:00 PST: eastern Indiana and Kentucky: The first poll closings and thus the first real numbers:

  • KY-06 (Lexington), open seat: Republican Ralph Alvarado vs. Democrat Zach Dembo, in a district Trump won by 15.

  • IN-05: Look at Hamilton County wihich Trump won 52–46 in 2024.

16:00 PST: Florida (most), Georgia, Virginia, South Carolina, Vermont:

  • Senate: Georgia: Jon Ossoff, Likely D, should be called early.

  • Senate: South Carolina: Darline Graham vs. Annie Andrews is close in the polls so a quick call or a long count tells you a lot.

  • FL-14: If Democrats Kathy Castor (FL-14) and Jared Moskowitz (FL-25) both lose in their newly gerrymandered district,s Republicans probably keep control of the House.

  • FL-22: Pia Dandiya (D) vs. Casey Askar (R) in a race that is 50-50 if the polls are right.

  • VA-02: If Republican Jen Kiggans wins what looks like a 1-in-8 shot against Elaine Luria, Republicans probably keep control of the House.

16:30 PST: Ohio, North Carolina, West Virginia

  • Senate: Ohio: Sherrod Brown (D) vs. Jon Husted (R) is a 50/50 race according to the polls.,

  • OH-07: Max Miller (R) vs. Brian Poindexter (D) is a 50/50 race in a Trump +11 seat.

17:00 PST: the big wave (12 Senate races, 12 governor races, 161 House seats):

States closing: Pennsylvania, Maine, Michigan (most), New Hampshire, most of Texas, Kansas (most), the Florida Panhandle, Mississippi, New Jersey, Illinois and others. https://www.270towin.com/poll-closing-times/

  • Senate: Maine: Susan Collins (R) vs. Troy Jackson (D) -1.8%-points.

  • Senate: Texas: Ken Paxton (R, non-incumbent) vs. James Talarico (D) -1.8%-points.

  • Senate: Michigan: Abdul El-Sayed (D, non-incumbent) vs. Mike Rogers (R) +4.8%-points.

  • Senate: New Hampshire: Chris Pappas (D, non-incumbent) vs. John Sununu (R) +6.0%-points.

  • Senate: Kansas: Roger Marshall (R) vs. Adam Hamilton (D) -2.1%-points.

  • Senate: Mississippi: Cindy Hyde-Smith (R) vs. Scott Colom (D) +3.0%-points.

Share DeLong's Grasping Reality Weblog

By 17:00 PST we should know, mostly from VA-02, FL-14, FL-22, OH-07, and the Ohio Senate race, whether this is a:

  • superwave,

  • a wave,

  • a normal opposition party congressional-swing win, or

  • a disappointment.

Refer a friend

Get 75% off a group subscription

Trump's approval is 37%. Registered Democrats have cast 45% of early ballots to Republicans' 31%, and Hispanic early turnout is running ahead of both 2022 and 2024. Yet there are reasons for caution. Marist's likely-voter screen shrinks the Democratic lead to 8 points, and enthusiasm lags among younger and nonwhite voters. Republicans are outspending Democrats in Senate toss-ups.

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##election-night-2026
##neofascism
##public-reason
#midterms-2026
#house-control
#senate-control
#swing-districts

CROSSPOST: NIALL FERGUSON: The [Nixon-Like] Method to Trump’s Foreign Policy Madness

Nixon was smart. Really smart. Nixon knew where Hanoi was. Niall Ferguson has a uniquely stupidly timed grand-strategy apologia for Donald Trump. Ferguson sees a Kissinger in a man who could not find the capital of North Vietnam on a map:

I must say that seeing this in my feed this morning was quite a surprise:

Niall Ferguson: The [Nixon-Like] Method to Trump’s Foreign Policy Madness <https://niallferguson.substack.com/p/the-method-to-trumps-foreign-policy>: To understand Trump’s… foreign policy… you have to understand the debt he… owes to…. Richard Nixon…. We’re seeing a wave of Nixon revisionism, if not rehabilitation…. Both presidents consciously put… realpolitik in Otto von Bismarck’s sense… above… international idealism…. Nixon’s realism… was a grand strategy at its grandest, predicated on a clear-eyed calculation of American interest and an effective downgrading of the ideological schism that had characterized the early Cold War….

You should by now have divined where I am going with this. Like Nixon, Trump’s instinct is to negotiate superpower to superpower… without regard to the smaller players… to say nothing of the irritatingly idealistic Europeans with their nostalgia for the “liberal international order”….

It might seem to skeptics that the U.S. has no strategy beyond imperial caprice. But that is a misreading. At heart, Donald Trump is a Nixonian… with the sole difference that personal enrichment and the national interest were never conflated in Nixon’s mind. Like Nixon, Trump takes pleasure in cutting deals with dictators. Like Nixon, he has no patience with European lectures about morality…. The essential difference between Trump and Nixon is U.S. economic strength [today]…. Like Nixon’s, Trump’s grand strategy may unravel. It’s just less likely to unravel if the U.S. economy stays strong…

Nixon was smart and had views (even if they were, alternatingly, Kissinger’s and Moynihan’s). It takes a very special kind of person to publish that in the context in which the other thing in my feed right now is this:

November 1, 2026. Afternoon., in Dubuque, Iowa:

Donald Trump: <https://www.yahoo.com/news/politics/articles/geography-blunder-lands-trump-community-142734013.html>: ‘I could have won the Vietnam War in a week. They kept bombing forests for years instead of going after Ho Chi Minh City…

This called forth, not surprisingly, a community note:

And another note:

Hunter Biden: <[twitter.com/HunterBid...](https://twitter.com/HunterBiden/status/2117256121018912794)>: ‘Last night Trump said he could have won Vietnam in a week. His plan was “going after Ho Chi Minh City.” Ho Chi Minh City was Saigon, the capital of South Vietnam. Our ally. The enemy’s capital was Hanoi. We bombed it. He called the presidents who fought that war stupid, then explained how he’d have won it by attacking our own side.

58,220 Americans died in that war. Trump got five deferments. Now he’s telling the rest of us how easy it would have been. He’s had more than fifty years to learn which side we were on. He still hasn’t. That alone should disqualify him from sending anybody else’s kids to war. Instead, he’s weighing more strikes on Iran after Tuesday. His administration has reportedly considered using the “mother of all bombs,” the one he calls “like a tiny nuclear bomb.”

The man who thinks we should have bombed our ally’s capital gets to choose the targets…

Ferguson’s is the most curious-of-all reaction and response to Donald Trump’s belief that Johnson and Nixon could have won the Vietnam War “in a week” by bombing the then-Saigon, the capital of our South Vietnam ally. At 09:30 pst on November 2, 2026—18 hours after Trump’s Dubuque speech—we have Niall Ferguson publishing:


CROSSPOST: NIALL FERGUSON: The Method to Trump’s Foreign Policy Madness

<https://niallferguson.substack.com/p/the-method-to-trumps-foreign-policy> <https://niallferguson.substack.com>

Niall Ferguson's Time Machine
The Method to Trump’s Foreign Policy Madness
Each episode of the satirical 1970s show Soap always began with a convoluted plot summary. The catchphrase in the intro was: “Confused? You won’t be…
Read more
To understand Trump’s approach to Ukraine, Iran, and China, look to Richard Nixon. The president’s instinct for superpower dealmaking reflects a hard-nosed realism, backed by the American economy.

Niall Ferguson

2026-11-02

Each episode of the satirical 1970s show Soap always began with a convoluted plot summary. The catchphrase in the intro was: “Confused? You won’t be.”

Confused is how many people today feel about U.S. foreign policy. A Free Press editor recently put it this way:

If China, Russia, North Korea, and Iran are an Axis of Aggressors and we’re at war with them, why is it so hard to identify enemies and allies? Democrats who just voted to pass almost $2 billion in aid to Ukraine (with an assist from a small group of Republicans) are simultaneously promoting candidates who want to end support for the Iron Dome for Israel, which is at war with Iran and its satellites, who are attacking an assortment of our partial allies and getting help from Russia and China.

[Vice President] J.D. Vance talked about the moderates in Iran who want peace during his ill-fated ceasefire; Turkey works with the Axis but is part of NATO; France, Belgium, Spain, and the Netherlands import Russian gas; Hungary uses a Russian pipeline, etc. How can we be in “Cold War II” if those are our allies? Whose false narrative are we living in?…

Having coined the phrase Cold War II and encouraged the use of the term Axis, I get so much of this kind of thing these days that I feel like a geopolitical agony aunt. “Why is Musk fucking with Ukraine?” a friend messaged me on Wednesday, referring to reports that Elon Musk green-lit a slowdown in the military-grade Starlink coverage that Ukraine relies on for certain types of drones. “Why would Putin negotiate when he’s getting concessions without it? How does increasing his leverage help?” These questions were further fueled by the revelation at the beginning of the week that the Russian president had proposed a joint summit next month with Donald Trump and Xi Jinping to discuss Ukraine—without Ukrainian president Volodymyr Zelensky present. Trump reportedly did not reject the idea.

Confused? You will be. So how to make sense of the apparent contradictions of Cold War II? For some people, the only possible explanation for all of this is that President Donald Trump is simply a crazed man-child emperor. In the wake of the gladiatorial games staged outside the White House in June, the British writer Robert Harris (whose new book Agrippa depicts the rise of Augustus Caesar) remarked: “You can really see him in a toga with a gold laurel wreath on his head. . . . He is an imperial kind of president.”

And yet I have always doubted that Trump is an authentic Octavian, a would-be emperor, ushering the republic into its grave. Nor (despite the analogy drawn last year by Gideon Rachman) is Trump Pitt the Younger, carving up the world as Pitt did with the Emperor Napoleon in 1805 (the subject of a famous cartoon by James Gillray).

In many ways, Trump is no emperor but, as I have long insisted, a quintessentially 19th-century American figure: a composite of Andrew Jackson, William McKinley, Theodore Roosevelt, and P.T. Barnum. Nevertheless, to understand Trump’s approach to foreign policy, and particularly his counterintuitive approach to the war in Ukraine, you have to understand the debt he also owes to a 20th-century president: Richard Nixon.

In December 1987, Nixon wrote to Trump after his wife saw the swaggering young real estate developer on Phil Donahue’s talk show. “Mrs. Nixon told me you were great,” Nixon gushed. “As you can imagine, she is an expert on politics and she predicts that whenever you decide to run for office you will be a winner!” Prophetic words. Two years later, the two men were photographed together at a fundraiser in Houston. Small wonder Trump has a long-standing regard for the disgraced 37th president. Not many people took him seriously back then.

It’s no accident that we’re seeing a wave of Nixon revisionism, if not rehabilitation, in Trump’s second term. Clearly, Trump’s domestic enemies were once Nixon’s: Harvard, The New York Times and The Washington Post, and the federal bureaucracy—known today as “the deep state.” Even more clearly, and most importantly for our purposes, both presidents consciously put the national interest—realpolitik in Otto von Bismarck’s sense—far above the international idealism we associate with Democratic presidents such as Woodrow Wilson or Jimmy Carter.

“We live in a world in which you can talk all you want about international niceties and everything else,” deputy chief of staff Stephen Miller told CNN’s Jake Tapper in January, shortly after the U.S. extracted the Venezuelan dictator Nicolás Maduro. “But we live in a world, in the real world . . . that is governed by strength, that is governed by force, that is governed by power.”

“These are the iron laws of the world,” Miller went on. “We’re a superpower. And under President Trump, we are going to conduct ourselves as a superpower.”

Nixon’s realism is best illustrated by the great “shocks” of the summer of 1971. In July, he stunned the world—particularly hawkish Cold Warriors at home and foreign allies such as Taiwan and Japan—by revealing his intention to fly to Beijing to meet the Chinese tyrant Mao Zedong. In August he shocked America’s European allies, too, by imposing across-the-board tariffs and taking the dollar off gold.

He and Henry Kissinger brilliantly sought to exploit the Sino-Soviet split to exert leverage over both Communist regimes, and in particular to put pressure on North Vietnam to agree to a peace deal that would get the United States out of Indochina while preserving the independence of South Vietnam, at least for “a decent interval.”

In 1972, Nixon’s summits in Beijing and Moscow paved the way for the January 1973 peace in Vietnam (after a final bout of “Christmas bombing” of Hanoi). It was a grand strategy at its grandest, predicated on a clear-eyed calculation of American interest and an effective downgrading of the ideological schism that had characterized the early Cold War.

Trump today is as unpopular a second-term president as George W. Bush was in October 2006.

Of course, the strategy—and Nixon’s presidency—unraveled in 1973 and 1974 because of Watergate, a war in the Middle East, and a massive energy price shock precipitated by the Saudi-led oil embargo on the United States, retaliation for U.S. military aid to Israel in the Yom Kippur War.

You should by now have divined where I am going with this. Like Nixon, Trump’s instinct is to negotiate superpower to superpower, regardless of ideological labels. He would indeed enjoy nothing more than a Big Three summit with Putin and Xi at the Asia-Pacific Economic Cooperation (APEC) leaders’ meeting in Shenzhen next month. His preference would be to settle the ongoing wars in Ukraine and Iran without regard to the smaller players involved, to say nothing of the irritatingly idealistic Europeans with their nostalgia for the “liberal international order.”

It is a mistake to read too much into his and his emissaries’ tendency to flatter Putin and Xi, to disparage Zelensky, to give his Taiwanese counterpart Lai Ching-te the cold shoulder, and generally to sneer at most European leaders. Trump has soft spots for a few countries—notably the United Kingdom and Israel. But that doesn’t prevent him from periodically yelling at their prime ministers when they stand in his way.

The paradox of Trump’s foreign policy is that his attempt to overthrow the Iranian regime this year was simultaneously the least Nixonian (and most Bush-like) thing he has ever done, and probably also his biggest mistake.

For the laws of 20th-century politics still apply, even in the mid 2020s—even in the age of Trump. Power nearly always drains away from a second-term president, especially after his party loses seats in Congress, as tends to happen. But a war in the Middle East can make the power drain especially fast. Trump today is as unpopular a second-term president as George W. Bush was in October 2006. Since 1945, only Nixon has had lower approval—and by October 1974 he had been out of the White House for two months. The war against Iran has aged much faster politically than the war against Iraq. And that’s in large measure because of its impact on energy prices, increasing crude oil prices by a factor of four, and gasoline prices by a factor of three.

To really put the crisis of Trump’s presidency in context, you need to go back a quarter century, to the era of Bush’s Global War on Terrorism, one the most idealistic enterprises in the history of U.S. foreign policy. In my book Colossus (2004), I predicted that the neoconservative project for “nation building” (empire in all but name) was doomed to fail. “There are three fundamental deficits,” I argued, “that together explain why the United States has been a less effective empire than its British predecessor. They are its economic deficit, its manpower deficit and—the most serious of the three—its attention deficit.”

The three deficits of Colossus have only deteriorated in the past 25 years. But there is now a fourth one: a geopolitical deficit. The United States is in Cold War II, regardless of who is president. China is the most formidable economic rival the U.S. has ever faced. And we have ended up in the most dangerous scenario envisioned by Zbigniew Brzezinski in The Grand Chessboard (1997)—facing “a grand coalition of China, Russia, and perhaps Iran, an ‘antihegemonic’ coalition united not by ideology but by complementary grievances.” (He should have added North Korea.)

The Axis of authoritarians meets regularly and appears to have a game plan: Think of Putin, Xi, and Kim Jong-Un rubbing shoulders at the 80th anniversary of the end of World War II in Beijing last year. By contrast, Trump has shaken up the U.S. system of alliances—not necessarily a bad thing, but in the short run a potential source of weakness.

Trump’s grand strategy of confronting the Axis was to start with the weakest link (Venezuela), then move on to Iran. The Iranian regime appeared to have been decisively disarmed in the opening phase of the war, Operation Economic Fury. But the closure of the Strait of Hormuz seemed to confront Trump with a choice between a hugely risky ground operation or abandoning the strait to Iran—a choice, in British imperial terms, between Gallipoli (1915) or Suez (1956).

Yet what I didn’t anticipate back in 2001 was that the U.S. would economically outperform both adversaries and allies.

At heart, Donald Trump is a Nixonian in foreign policy, with the sole difference that personal enrichment and the national interest were never conflated in Nixon’s mind.

Relative to other currencies, the dollar hasn’t weakened in 25 years, and the 10-year Treasury is still generally regarded as a “safe asset.” The real effective exchange rate did a round trip, and the new European currency didn’t really challenge dollar dominance of global reserves and transactions.

Toppling the Twin Towers was intended by Osama bin Laden as an economic as well as a symbolic act. But, since 2001, the U.S. stock market has crushed (nearly all) the competition. If you had invested all your savings in U.S. equities on September 10, 2001, you’d be up by a factor of seven. The equivalent for Germany is 3.3x, Japan 3x, China 2x, and the UK 1.8x. If you sold America and bought the BRICs in 2001, you are cursing Goldman Sachs, who coined that acronym for Brazil, Russia, India, and China. That has been the portfolio from hell.

The U.S. has led the charge in artificial intelligence, of course. It has 11 times the computational power of China, the other AI empire. But it has also surged back as a hydrocarbon power. Oil and gas production were both drifting down until the shale boom took hold around 2008–2012. U.S. natural gas production has since doubled. Oil output is up 130 percent. This helps explain why the economic consequences of the closure of the strait turned out to be less severe this year than the energy experts expected—though the key variable in keeping a lid on oil prices was the drastic decline in Chinese crude oil imports.

Now consider the predicament of the Axis powers today. There has been a slow but steady weakening of the Iranian grip on the strait. The Iranian currency is in free fall. Their economy is at rock bottom.

Meanwhile, Russia is now waging a relentless air war against Ukraine’s economy. Putin may grind out his victory in 2027. But the costs are already eye-watering. Russian casualties (killed and wounded) in July, August, and September were in excess of 42,000 per month.

True, the economic consequences of a closure of the Taiwan Strait—if China made a move against Taipei and the U.S. contested it—would be greater than the closure of Hormuz. And true, China has already understood how to exploit U.S.-PRC economic interdependence, particularly its near monopoly on rare-earth elements. But Chinese consumer confidence has not recovered from Covid, and the population is plunging. And whose fiscal problem would you rather have? Relative to GDP (especially if, as seems likely, China’s is overstated), Beijing’s is a much bigger headache; it’s just that most of its public sector deficit and debt are at the local level.

It might seem to skeptics that the U.S. has no strategy beyond imperial caprice. But that is a misreading. At heart, Donald Trump is a Nixonian in foreign policy, with the sole difference that personal enrichment and the national interest were never conflated in Nixon’s mind. Like Nixon, Trump takes pleasure in cutting deals with dictators. Like Nixon, he has no patience with European lectures about morality—especially when they are as hypocritical as the ones given by people still doing a roaring trade with Russia via third countries. Like Nixon, he feels entitled to the Nobel Peace Prize—and, like Nixon, he has no chance whatsoever of receiving it. Like Nixon, Trump drives both liberals and neoconservatives round the bend. And, like Nixon, he runs the risk that the list of enemies will become so long they will finally be able to undermine him altogether.

But the essential difference between Trump and Nixon is U.S. economic strength. When Richard Nixon resigned in August 1974, the inflation rate was 11 percent and the unemployment rate was 5.5 percent. Last month, those figures were, respectively, 3.7 percent and 4.2 percent. The U.S. economy was in recession between November 1973 and March 1975. Today, the U.S. economy is so red-hot, thanks to the AI investment boom, that the Federal Reserve is hitting the brakes.

Still confused? All I can tell you is that, like Nixon’s, Trump’s grand strategy may unravel. It’s just less likely to unravel if the U.S. economy stays strong. Indeed, that strength might (I stress might) even help end the conflicts in Eastern Europe and the Middle East, while deterring China from risking a confrontation in the Far East. Only if higher interest rates, plus a Democratic wave in the midterms, plus the public backlash against AI together burst the AI bubble—only then will Trump face a Nixonian reckoning. And then it will be a very different ’70s TV show we’ll be reminded of.

<https://niallferguson.substack.com/p/the-method-to-trumps-foreign-policy> <https://niallferguson.substack.com>

Niall Ferguson's Time Machine
The Method to Trump’s Foreign Policy Madness
Each episode of the satirical 1970s show Soap always began with a convoluted plot summary. The catchphrase in the intro was: “Confused? You won’t be…
Read more

Brad DeLong here: Yes, Niall Ferguson did originally publish this ten days ago in the Free Press, Yes, this is perhaps an automatic repost to get it out from behind the paywall of the Free Press. Yes, perhaps Niall is too scatterbrained to have remembered that this was scheduled to post this on his SubStack this AM, and perhaps he should think, even if only a little, about the context in which it would land.

It may have looked marginally less moronic ten days ago.

Marginally.

No. The “essential difference between Trump and Nixon” is not:

U.S. economic strength [today]. When Richard Nixon resigned in August 1974, the inflation rate was 11 percent and the unemployment rate was 5.5 percent. Last month, those figures were, respectively, 3.7 percent and 4.2 percent. The U.S. economy was in recession between November 1973 and March 1975. Today, the U.S. economy is so red-hot, thanks to the AI investment boom, that the Federal Reserve is hitting the brakes…

I could go on. But this is a cognitive-DDOS attack on all of us.

And is Ferguson’s “Operation Economic Fury” a mind-o or joke?

Subscribe now

Share DeLong's Grasping Reality Weblog

Give a gift subscription

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##crosspost-niall-ferguson-the-nixon-like-method-to-trumps-foreign-policy-madness
##neofascism
##chaos-monkey-foreign-policy
##crosspost
#niall-ferguson-the-nixon-like-method-to-trumps-foreign-policy-madness
#niall-ferguson
#the-nixon-like-method-to-trumps-foreign-policy-madness
#donald-trump
#richard-nixon
#grand-strategy
#realpolitik

CROSSPOST: NOAH SMITH: Anthropic’s Moat Is Claude

Noah Smith’s bull case for Anthropic’s valuation in a nutshell: To justify a $2 trillion IPO, Anthropic can’t just win the AI market. It has to win every market. The road to that is to buy a firm in an industry, feed that firm’s data to super-claude, outcompete all rivals using general intelligence and smarts, and then do it again in the next industry. And again. The talent-concentration moat that was (part of what was) behind Google and Facebook, rebuilt in the datacenters…

The conventional wisdom in the circles that I travel in is that, should Anthropic undertake an IPO at anything close to any of the valuation numbers currently being whispered about, it will be massively overpriced relative to true fundamentals.

Share

Now comes Noah Smith to say “maybe”. And he constructs an “exhilarating and terrifying” “huge, teetering tower of assumptions” to get to a strong bull case even given that MAMLM model services have no network effect, little brand loyalty, low switching casts, and hungry and aggressive rivals who have engineers who can catch up fast via their own work or via distilling yours.

What do I think? I am a relative bear. There may well not be even is a low-probability chance of enough future supergrowth to justify the risks in buying in at anything like the IPO price.

If there is, it really depends on whether the secret sauce that has fueled Anthropic’s hypergrowth over the past year and a half is that its models are smarter in useful-general-intelligence (or super-intelligence!) sense. And I cannot evaluate that, since I do not have a good understanding of what that secret sauce is:

Give a gift subscription


CROSSPOST: NOAH SMITH: Anthropic’s Moat Is Claude

<https://www.noahpinion.blog/p/anthropics-moat-is-claude> <http://noahpinion.blog>

Noahpinion
Anthropic’s moat is Claude
Anthropic recently filed for IPO. At an estimated $1.5 to $2 trillion, it will be one of the biggest IPOs of all time, rivaling SpaceX, and possibly the biggest. For reference, Facebook’s valuation when it had its blockbuster IPO in 2012 was $104 billion, and Google’s valuation in 2004 was $23 billion. Anthropic will instantly become one of the world’s most valuable companies — Google itself is now worth $3.4 trillion, and Nvidia and Apple are both worth around $5 trillion…
Read more
The bull case for Anthropic’s IPO.

Noah Smith

2026-11-02 ∙ Paid
Art by GPT-6

Anthropic recently filed for IPO. At an estimated $1.5 to $2 trillion, it will be one of the biggest IPOs of all time, rivaling SpaceX, and possibly the biggest. For reference, Facebook’s valuation when it had its blockbuster IPO in 2012 was $104 billion, and Google’s valuation in 2004 was $23 billion. Anthropic will instantly become one of the world’s most valuable companies — Google itself is now worth $3.4 trillion, and Nvidia and Apple are both worth around $5 trillion.

This naturally has a lot of people asking: What’s the upside to buying Anthropic? Even if it grew to be as valuable as Apple or Nvidia — in other words, if it became one of the most valuable companies on planet Earth — that would only be a multiple of 2 to 2.5. But if Anthropic stumbles, that lofty valuation could come tumbling down.

There are certainly lots of reasons Anthropic could stumble. Demand for AI could take longer to materialize than people think, perhaps because companies have trouble integrating AI into their existing business models. The U.S. government could decide that Claude’s hacking capabilities represent a national security threat — especially after the recent wave of AI-assisted cyberattacks — and decide to regulate, appropriate, or otherwise restrain the company (the spat with the Department of War might represent the beginnings of that conflict). One company (SpaceX?) might end up monopolizing all of the compute, squeezing Anthropic’s profits. Competition from OpenAI and Google, or Chinese models, might result in a competitive race to the bottom that forces down Anthropic’s margins. And so on.

In order to balance all that uncertainty and risk on the downside, Anthropic needs to have huge upside. It needs a way that it could be worth a lot more than $2 trillion in the years to come. For comparison, if you bought Google when it IPO’d, your investment would have gone up by over 130 times by today. To equal that performance, Anthropic would have to be worth $200 to $260 trillion by the late 2040s. That’s almost half of the total wealth that exists in the entire world today. For Facebook, the number is around 16x, meaning Anthropic would have to be worth $32 trillion by the early 2040s — still an impressive performance, considering that that’s more than six times the value of the most valuable company in 2026.

How could Anthropic manage that kind of growth? One possibility is that the world economy itself will grow at a very rapid pace, thanks to AI. Some AI researchers think that growth could soon accelerate to fantastically high levels. But most economists bet against that, and even most AI industry insiders expect the growth speedup to be much more modest. Even 7% nominal growth — 4% real growth plus 3% inflation — would only make the economy about 2.75x larger by 2041, and 4.43x larger by 2048.

So in order to have the upside of a Facebook-like outcome — let alone a Google-like outcome — Anthropic probably can’t just ride a wave of economic growth.1 It’ll need to capture a greater fraction of the value that our economy produces.

So far, the company has been doing exactly that — and at an extremely rapid rate. Its revenue has grown faster than any company of similar size in all of history. And despite this explosive growth, the company is now making an operating profit:

Source: Quartr

Businesses usually have to spend more money to make more money at the outset, but Anthropic’s Claude Code is a product that sells itself — relative to just one year ago, the company is making more than 3 times as many dollars of revenue for each dollar that it spends on compute:

As SemiAnalysis writes, this is “the most efficient scaling of a business in the history of capitalism”. Jeffrey Bussgang has a good breakdown of Anthropic’s recent IPO filing, and it’s full of amazing details — incredible user retention, a broadening base of customers, and so on.

And Anthropic is selling a product whose adoption rate is still very low. As Aaron Levie points out, most big companies are still spending only a pittance on AI, and could afford to spend a lot more:

And yet for this growth to continue, Anthropic must do more than simply make great products. It will need to stave off the competition for decades on end. It will, in Wall Street jargon, need a “moat”.


Why Anthropic needs a moat

When I was teaching business economics to MBAs at Stony Brook, I spent lots of time on the question of why companies make profit. This might sound like a stupid question, especially if you’ve been conditioned to think that there’s some kind of magic force called “capitalism” that companies can use to extract money from people and hand it to their shareholders. But in a world of perfect competition, companies should keep trying to undersell each other until their profit goes to zero — or at least, until it goes to a level where companies are just able to pay for their investments. Even if one company has a huge share of the market, the simple threat that new companies might be able to enter the market and compete with them should force them to keep their prices low in order to maintain their market share.

And in fact, lots of industries do work like this. Agriculture, in the absence of farm subsidies or other significant government support, is the most famous example. Solar power is another — energy provides huge value to the world, but solar is so undifferentiated a product that solar producers never end up making big margins.2 Airlines are a third example. Consumers (and workers) benefit from these industries, but shareholders don’t end up making huge returns.

In order to make profits (or “excess profits” above and beyond the cost of investment), companies generally need some sort of a “moat” — a barrier to entry that reduces the threat of competition. This could be a government-sponsored monopoly — cronyism, or intellectual property. It could be a network effect — the natural tendency of everyone to be on the same social network or use the same electric power grid. It could be something as simple as brand loyalty — maybe everyone thinks Louis Vuitton bags are worth paying money for because of the name, or maybe everyone is just very used to using Microsoft Excel and doesn’t want to switch.

These are all reasons why some companies make high profit margins. There are probably more. Investors will tell you that if you want to assess how valuable you think a company is going to be, you should try to evaluate the strength of its moat — in fact, the term “moat” as slang for barriers to entry was coined by Warren Buffett.

Ever since AI companies like Anthropic and OpenAI burst on the scene, I’ve been hearing smart people argue that they have no moat. After all, unlike famously profitable software companies like Facebook or Google, it’s not clear that AI has a network effect — whether I should use Claude Code or Codex doesn’t really depend on whether you use Claude Code or Codex. And brand loyalty to AI is probably pretty low, since coding with Claude Code and coding with Codex is probably a pretty similar experience, and since AI isn’t a prestige good like an iPhone or a Rolex. And logistically speaking, it’s very easy to switch from one company’s AI products to another’s.

What’s more, catch-up in AI models is typically very fast — OpenAI and Google are typically only a little bit behind Anthropic in terms of model capability. In fact, by some measures, Google’s new Gemini 4 Carbon model just took the lead over Anthropic. Obviously this will reverse when Anthropic releases the next blockbuster model it currently has under wraps, but it shows that the other major players are still very much in the race. In terms of market share, OpenAI has been nipping at Anthropic’s heels:

Source: OpenRouter via Peter Walker

I’ve written previously about the possibility that AI will end up like solar power, or airlines — a cheap utility that lots of companies use to create enormous economic value, but whose producers don’t manage to capture much of that value:

The AI bust scenario that no one is talking about
The AI bust scenario that no one is talking about Noah Smith December 8, 2025

Read full story

But I think we need to talk more about the opposite scenario — the possibility that AI intrinsically does have a huge moat. I see a distinct possibility that intelligence itself — the ability to outsmart competitors in the arena of business — is a tremendous source of competitive advantage for a company. And in fact, I suspect that this is exactly what Anthropic itself is (quietly) betting on.


How intelligence itself can be a moat

and there is the paywall…

<https://www.noahpinion.blog/p/anthropics-moat-is-claude> <http://noahpinion.blog>

Noahpinion
Anthropic’s moat is Claude
Anthropic recently filed for IPO. At an estimated $1.5 to $2 trillion, it will be one of the biggest IPOs of all time, rivaling SpaceX, and possibly the biggest. For reference, Facebook’s valuation when it had its blockbuster IPO in 2012 was $104 billion, and Google’s valuation in 2004 was $23 billion. Anthropic will instantly become one of the world’s most valuable companies — Google itself is now worth $3.4 trillion, and Nvidia and Apple are both worth around $5 trillion…
Read more

Brad DeLong here: What do I think of all this?

First, below the paywall Noah makes the argument that Google’s and FaceBook’s key edge in their growth to platform-monopoly status was increasing returns from the concentration of talent:

Share DeLong's Grasping Reality Weblog

If hiring a smarter employee gave a company $100,000 extra of profit… that employee would… just demand $99,999.99 in higher salary…. One answer is that smarter workers make other smart workers even smarter…. This naturally created a moat for any company that can get even a small initial advantage in recruiting the best people…. [Then] you become a talent magnet…. Working with other talented people could be the main amenity…

Leave a comment

That could be the way to get to a bull case for Anthropic against what is the bearish conventional wisdom in my circles, which Noah puts like this:

AI products look like commodities. There is no network effect, little brand loyalty, switching is easy, and rivals catch up fast…

Refer a friend

Indeed, Microsoft and others are already hard at work trying to cement their linkages with and private knowledge of their customers, while turning the datacenters and the models into commodities so that they can switch from codex to claude to grok to muse to gemini at the drop of a chip. And even if claude/fable, /opus, /sonnet, /haiku, & c. are better, Microsoft and Amazon (and Google and FaceBook) are 100% in the business of being willing to give away their own models and basic harnesses for free to starve Anthropic, OpenAI, and xAI of oxygen.

Thus the way Noah sees it, to get to a bull case for Anthropic you need to take seriously the idea that:

superior intelligence may be a barrier to entry of its own, much as talent concentration was for Google and Facebook. The difference is that an AI lab can hoard “talent” in every field, not just one…

Get 75% off a group subscription

And so:

Claude… in… insurance industry… lacks all the accumulated tips and tricks, the hard-won human experience…. But… Anthropic buys an existing insurance company… [which] learn[s] on the job…. [Then] Claude can potentially outcompete any rival…. The talent concentration moat, updated for a world where talent is built in a data center…. Google and Facebook could hoard talent in one specific domain, Anthropic can potentially hoard talent in all domains where it can access the relevant data, simply … by having the smartest model.

Of course, that depends on Anthropic maintaining Claude’s lead in terms of capabilities. Right now… of Anthropic’s computing power… three-quarters… goes to model development…. [And] if Anthropic… enter[s] a ton of industries and start[s] making profit… it will have more to spend… on making sure its models remain the smartest…. [And] recursive self-improvement — even if RSI doesn’t lead to a technological singularity, it can help make sure that Anthropic maintains Claude’s lead over any and all rivals…

Noah concludes:

The bull case for Anthropic is that intelligence is such a general technology that producing it allows you to control all other technologies…. Plenty of things… could get in the way… of course — my scenario is based on a huge, teetering tower of assumptions…

I think that is right. The tower is huge and teetering. Perhaps the key block is whether excellence in coding assistants is or can become excellence in some kind of “general intelligence” valuable across all domains. And since I do not understand where Anthropic’s edge in building coding assistants comes from, I cannot evaluate that. Any Bayesian assessment I might come up with would be evidence-free, simply a reflection of a prior probability that my mind derived from god-alone-knows-where and out of god-alone-knows-what.

Subscribe now

Share DeLong's Grasping Reality Weblog

Give a gift subscription

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##crosspost-noah-smith-anthropics-moat-is-claude
##attention-info-bio-tech-economy
##mamlms
##crosspost
#noah-smith-anthropics-moat-is-claude
#noah-smith
#anthropics-moat-is-claude
#anthropic
#claude
#anthropic-ipo
#intelligence-as-moat
#talent-concentration
#superstar-firms
#frontier-models
#tech-valuations
#ash-gul-durbatuluk

Not a Good Use of My, or Your, Time, But: CHART OF THE DAY

Nearly all of us are cognitively-compromised readers of polls the day before an election. Nate Silver is the exception, and that’s exactly why you should listen to him today:

Do anchor your beliefs to this fact: Pollsters share the same problems with who answers the phone. If the polls are off, they'll likely be off in the same direction everywhere, so seven good Senate polls aren't seven separate pieces of evidence.

Via Greg Sargent:

Greg Sargent: <https://bsky.app/profile/gregsargent.bsky.social/post/3mzc5don3wc2d>: ‘Whoa. Final NYT polls of Senate races just dropped. I can’t believe it’s this good, but... wow:

The natural next question, given this chart, is this: What does Nate Silver <https://www.natesilver.net/> think?

Nate Siler is very valuable today. He cares only about whether three out of every four 75% picks he makes actually come true or not. He does not really, save how it affects his personal finances, care much about governance. He does not really have enough of a “no man is an island” feeling to care much about what the ramifications of elections are for how the world does and how people suffer.

That personality quirk makes him the most valuable of us today.

He is the least likely to delude himself via motivated reasoning. So reward him by giving him your money:

Nate Silver: The NYT/Siena Polls Show a Blue Tsunami <https://www.natesilver.net/p/the-nytsiena-polls-show-a-blue-tsunami>: ‘They might be wrong again, but it’s getting hard to deny that polls point toward a really big year for Democrats…. They showed what can only be described as fantastic numbers for Democrats, putting them ahead — sometimes narrowly, sometimes not — in basically every Senate battleground and in the associated governor’s races, including in Texas. These polls weren’t quite in the territory of FLIPR’s officially “weird” scenarios, but they’re close….

The NYT shows a D +11 on the generic ballot and… in most cases… follow[s] the patterns FLIPR has previously detected…. [My] model… does adjust every survey firm’s numbers for house effects. In other words, it knows that NYT/Siena has tended to have good numbers for Democrats this cycle, and that’s priced into its forecasts, including to some extent even in races that the NYT hasn’t polled…. [Nevertheless, and] it was just barely — the NYT/Siena polls actually had less of an impact on our model than I expected — but for the first time tonight, Democrats’ Senate odds improved to a number that begins with an “8”….

The New York Times is notorious for not herding. They’ll publish weird results like Flanagan +14 in Minnesota or Ricketts +6 in Nebraska, knowing full well that polling averages are usually more accurate than individual polls and they’ll probably wind up… wrong…. There’s none of the hedging or fudging or herding or fiddling with likely voter numbers like we’ve seen from other highly-rated pollsters. Except that, according to The Times’s Nate Cohn, the NYT actually did tinker with its weighting scheme after its polls, like most others, overrated Democrats in 2024. If they hadn’t done that, their polls would have been even better for Democrats, Cohn wrote, by roughly three points across the board (the major exception being Maine)….

The trends here are quite consistent: Democrats are coming home in the blue states while Republicans aren’t in the red states. If both of those things are true — and those are two very, very big “ifs” — Republicans are in for a long night on Tuesday.

Republicans: Your lemming-like following of the Newt Gingrich principle that you have to work as hard as you can to make the president of your party appear a success (and the president of the other party appear a failure) no matter how much damage you do to the country in the process has not only damned you all to hell, it looks like it has done major, major damage to your political standing as well. Time to rethink your lives, and repent, if you still can.

Subscribe now

Share DeLong's Grasping Reality Weblog

Give a gift subscription

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##not-a-good-use-of-my-or-your-time-but-chart-of-the-day
##public-reason
##neofascism
##chart-of-the-day
#not-a-good-use-of-my-or-your-time
#2026-midterms
#senate-polls
#nate-silver
#silver-bulletin
#generic-ballot
#polling-error
#motivated-reasoning

The Visual Æsthetics of Cheesecake Factories: (LATE) FRIDAY FOG & FLATLANDS

The Cheesecake Factory look: fine for avocado egg rolls; terrible for the public buildings of a Great Republic. Trump (and the Wall Street Journal) did not dare say a peep at Obama’s comparison of him to a dictator, but it was the claim that his æsthetic taste thought a chain restaurant was the height of luxury appears to have stung:

Barack Obama is not a very nice guy these days.

Share

But I do not think a nice guy is what we need right now:

Barack Obama: ‘I had heard the president was not happy when I joked over the weekend that he’s got the White House looking like Saddam Hussein opened a Cheesecake Factory….

The president wasn’t even mad about the Saddam Hussein comparison. That part didn’t bother him. But he was very upset about the Cheesecake Factory comments…

Give a gift subscription

Now we all know that the Cheesecake Factory has decided that it is going to have a deliberate look as part of its brand. And rather few of us think that that look is appropriate for the public spaces of a Great Republic. Indeed, Donald Trump does not: He was really angry that Barack Obama mocked him by saying that that the Cheesecake Factory look was the look he was trying for.

The Wall Streat Journal, like Trump, did not dare to appear unhappy with the Saddam Hussein comparison. But they seemed to think, or to want to say and pretend to think, that looking like a Cheesecake Factory was 100% appropriate for the public spaces of a Great Republic. Thus we have this here:

Wall Street Journal Editorial Board: Obama Goes Socialist, Scorns Cheesecake <https://www.wsj.com/opinion/barack-obama-angie-nixon-cheesecake-factory-bf1303ce>: ‘He throws in with Florida’s Angie Nixon and condescends to Middle America: President Obama has delivered another condescending classic. Campaigning for Democrats in Ohio this weekend, he said that President Trump’s redecorations have the White House “looking like Saddam Hussein opened a Cheesecake Factory.” The same day, Mr. Obama endorsed a socialist as Florida’s next U.S. Senator.

Making fun of chain restaurants is quite an angle for Democrats, who keep insisting that they haven’t forgotten the working man in Middle America. The Cheesecake Factory has a couple of hundred locations, the company says, so it must be doing something deliciously right. But to all of those diners in Cleveland, Grand Rapids, and beyond, here’s Mr. Obama’s message: How déclassé…

Share DeLong's Grasping Reality Weblog

Anyone who thinks about this for more than a minute will note that Donald Trump does not disagree with Barack Obama here. Trump did not respond: “Yes! The Cheesecake Factory look is great! That is exactly what I was going for!”; did he?

No.

He was deeply and mortally offended (as he is deeply and mortally offended by pretty much everything). But look at what offended him. He shrugged off the comparison to a murderous Ba’athist dictator. What he could not stand was the suggestion that his taste is middlebrow. The gold is supposed to say “Versailles,” or at least “Mar-a-Lago.” Obama said it says “suburban mall, near the Macy’s, forty-five-minute wait on a Friday night”. That stung because Trump knows exactly what the Cheesecake Factory look is. He does not want to be caught wanting to reproduce it.

Moreover, I do not think Middle America believes that the Cheesecake Factory look belongs in the public spaces of a Great Republic. That look is fine for, well, a Cheesecake Factory.

I like the place well enough:

  • The portions are enormous.

  • The menu is a 250-item novella.

  • Nobody will judge you for ordering the avocado eggrolls.

  • Carbmaxxxing has its place (at least for younger people with less creaky digestions), and it is good for carbmaxxxing.

Share DeLong's Grasping Reality Weblog

But a Cheesecake Factory is, by design, one of those things that the French anthropologist Marc Augé has called a “non-place”: like an airport lounge, a highway rest stop, or a chain hotel, it is meant to look the same in Cleveland Ohio as in Grand Rapids Michigan as in Walnut Creek California. It is supposed to be familiar, and of little account because familiar. Its job is to have no special history and no real location and no different character, so you can walk in anywhere and know exactly where you are.

That is a fine design goal for a restaurant chain.

It is a terrible design goal for the White House. A White House is supposed to be the opposite of a non-place: It is one specific building. It has one specific history. It belongs to one specific people.

And it gets worse.

Nobody thinks the Cheesecake Factory is luxury. Nobody is supposed to think so. The gilt columns, the heavy drapes, the faux-Egyptian-Moorish-Venetian lighting fixtures are, in Jean Baudrillard’s terms, a simulation of luxury that isn’t even trying to fool you.

Everyone is in on the joke.

The point is to feel, for an evening, comfortably adjacent to the idea of opulence, at a price point that makes it a very reasonable Tuesday. A cheap and comfortable knockoff of luxury is a perfectly honorable thing to sell. But when that look moves into the Oval Office, it says something else. It says we have a government interested neither in the substance of power, nor in the weight of history, nor even in real wealth, but only in the image of wealth: a cheap homage to the imago of being successful.

So who, then, actually thinks the public spaces of a Great Republic should look like a Cheesecake Factory? Not Obama. Not, by his own furious admission, Trump. Not, I think, the diners of Cleveland and Grand Rapids and Walnut Creek, who know perfectly well the difference between a fun night out and the seat of government. The only people who claim to think so are the members of the Wall Street Journal editorial board. Or rather, they pretend to.

For note what they are doing. They are putting on a performance of populism: a defense of the honest working man and his honest chain-restaurant cheesecake against the sneering coastal elite. But the people writing those editorials are not defending the working man’s taste. They are not even defending the Cheesecake Factory. They are defending the proposition that a rich and powerful man may treat the people’s house as his private showroom, and that anyone who objects is a snob. That is a very different thing.

I would not be taking any risk in betting a large sum that the Journal’s editorial writers do not, when choosing where to take someone to lunch, suggest the Cheesecake Factory. For none of them have ever suggested it.

What, then, would “appropriate” mean for White House architecture and decoration?

It is not a matter of high taste versus low taste. Plenty of great civic architecture is plain. The Lincoln Memorial is not gilded. Monticello is red brick. What the public spaces of a Great Republic need is stability, continuity, and a shared civic dignity: the sense that the room was there before this president and will be there after him, and that it belongs to all of us rather than to whoever currently holds the lease. That is precisely what cannot be ordered out of a corporate interior-design catalog, at any price point.

So this argument is not really about whether Barack Obama is being “nice,” or whether the Wall Street Journal is right or wrong about a restaurant. It is about whether the public spaces of our government should express a shared civic identity that we hold in common across generations, or should be one more franchise location of a brand that is, by design, a not-very-luxurious simulation of luxury. One of those is a Great, or perhaps a Once-Great, Republic. The other is a chain restaurant.

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##the-visual-aesthetics-of-cheesecake-factories-late-friday-fog-flatlands
##neofascism
#cheesecake-factory
#barack-obama
#donald-trump
#white-house
#wall-street-journal
#wsj-editorial-board
#saddam-hussein
#non-places
#french-theory
#simulated-luxury
#hyperreality
#civic-architecture
#great-republic
#public-spaces
#political-aesthetics
#kitsch
#performative-populism
#middle-america

CROSSPOST: NOAH SMITH: Patrick Stewart as Jean-Luc Picard in Star Trek: TNG: Farewell, My Captain

In memoriam, Patrick Stewart 1940-2026…

Patrick Stewart died this week at 86.

Share

The world is mourning the actor. The actor matters for his humanity, his excellence, and his craft. But this also marks a moment for us to reflect more deeply on the character he made real: Captain Jean-Luc Picard of the USS Enterprise NCC-1701-D. For Star Trek: The Next Generation was and is, as Noah Smith says pure crystalized optimism made into drama:

  • Gene Roddenberry's banned internal conflict as a plot engine

  • That forced ST:TNG’s writers to imagine how genuinely better people would face the unknown.

  • Captain Jean-Luc Picard was the result:

    • a commander who would rather understand than fire,

    • who used intelligence to build coexistence,

    • who was not obsessed with so much winning.

Give a gift subscription

And, today, Noah Smith has faith:

I won’t lie. The last quarter century has been brutal to the hopes of those raised on Star Trek: The Next Generation. The promise of a liberal society has not been eliminated, but it has been tarnished by over a decade of social media hatred and rising authoritarianism. Neither greater prosperity nor more information nor giving voice to the voiceless has made our societies more like the United Federation of Planets. Sci-fi marvels are coming to life around us, but every day the people who lead our species seem less like the crew of the Enterprise. But as the 1990s were not the end of history, neither are the 2020s….

It’s about time to pick ourselves back up and start the journey again. We should all go back and watch Star Trek: The Next Generation, with its silly haircuts and its dated special effects, and remember who we thought we could become. Farewell to the great Patrick Stewart. And farewell also, Captain Picard…

Share DeLong's Grasping Reality Weblog

Star Trek: TNG (and, less so but still substantially, Star Trek: TOS) are worthwhile to us as myths of who we should pretend to be if we are to live good and honorable lives. For, as Kurt Vonnegut writes in the beginning to the introduction of his great novel Mother Night <https://archive.org/details/mothernight0000kurt_f3x1>:

THIS IS THE ONLY story of mine whose moral I know. I don’t think it’s a marvelous moral; I simply happen to know what it is: We are what we pretend to be, so we must be careful about what we pretend to be...

Leave a comment

This is also, I think, what Ryan Avent is getting at in his recent (last April) book In Good Faith: How the Nature of Belief Shapes the Fate of Societies, which I need to review, but have found myself blocked on: <https://yalebooks.yale.edu/book/9780300269925/in-good-faith/>.


CROSSPOST: NOAH SMITH: Patrick Stewart as Jean-Luc Picard in Star Trek: TNG: Farewell, My Captain

<https://www.noahpinion.blog/p/farewell-my-captain> <https://www.noahpinion.blog>

Noahpinion
Farewell, my Captain
“That is the exploration that awaits you. Not mapping stars and studying nebulae, but charting the unknowable possibilities of existence.” — Q…
Read more
A TV character gave us a glimpse of what humanity might become.

Noah Smith

2026-10-30

“That is the exploration that awaits you. Not mapping stars and studying nebulae, but charting the unknowable possibilities of existence.” — Q

There’s something about the mindset of really hardcore Star Trek fans that’s very difficult to describe to people who don’t share that fandom. I can’t speak for all of us, of course, but for many of us, there is a sense in which the world portrayed in Star Trek is not quite fictional. No one regards it as an exact description of the future, of course, but there is a sense in which it represents one possible future that we must achieve — a “Star Trek timeline” that either we’re on or that we need to return to. The United Federation of Planets isn’t some fantastical interstellar alliance, but an organization that we must create, and whose ideals we must instantiate as the governing ethos of humankind.

Our quasi-religious commitment to this utopian future came from watching the Star Trek TV shows, but the different series inspired us in different ways. The original “Kirk and Spock” series, which aired in the 1960s, was more of a technological vision — the idea that one day we would zip around the cosmos getting into adventures, as easily as we’d zip around the world in a boat today. But Star Trek: The Next Generation, which aired in the late 1980s and early 1990s, gave us a different kind of vision. It was a moral future for the human race — a depiction of a better way that we could face the unknown and master our own personal challenges.

There has never been another television show like Star Trek: The Next Generation, and there might never be one again. It is the greatest TV show ever made, not by dint of a difference in degree, but because of a difference in kind. It is a drama of pure optimism. Every other show tries to thrill us by showing us how bad or how ridiculous or how exciting someone else’s world could be; Star Trek: TNG thrills us by showing us how beautiful our own world could become.

For such a show to be put on the air required an incredible confluence of coincidences. For one thing, it was syndicated in its first run, meaning that it was free from constant interference by network executives. The showrunner,1 Michael Piller, also did something highly unusual when he opened the show up to outside script submissions; this allowed in a whole lot of highly innovative episode ideas.

But the real secret sauce of Star Trek: TNG was the creative vision of Star Trek’s original creator, Gene Roddenberry. A lot of people — and even a lot of science fiction writers — assume that even as technology makes us more powerful, human nature will remain basically the same, with all its old petty short-sighted hatreds and jealousies and selfishness and so on. Roddenberry believed otherwise. He famously declared that the people of the future would actually be better people, free from the flaws of his day. And so he mandated that Star Trek: TNG have no internal conflict in its plotlines.

Some of the writers chafed at that constraint. Interpersonal conflict is the bread and butter of drama — and always an easy plot device to fall back on when you need something to go wrong. But because Roddenberry decreed it, the writers of TNG were forced to envision how the ideal human being would deal with various personal and external obstacles. And so every episode gave us a thoughtful, probing exploration of what the ideal human beings — or at least, people much more morally and emotionally advanced than us — would look like.

No character embodied that ideal more than Captain Jean-Luc Picard. It’s not his personal life that’s ideal — he famously puts career over family, leading to a life full of self-doubt and regret — but his approach to the world. Picard is the ultimate Reasonable Man. He will always try to understand the alien before he opens fire. He is a legendary battle commander but would always rather negotiate than fight. He’s not necessarily the kind of man you’d want for a father, but he felt like one anyway. He values all life, and all uniqueness, intrinsically; he is zipping around the galaxy in a starship in order to discover the Universe, and occasionally to save it, but most of all to understand and respect it.

Understanding and respect, in fact, are Picard’s greatest weapons. He is a brilliant man, with many brilliant people under him, and occasionally he uses his intelligence to defeat an external threat. But he’s no swashbuckling space cowboy — more often than not, he succeeds in understanding the threat, and figures out how to help it achieve its goals without sacrificing his own. Picard realizes that the highest application of intelligence is not to thwart your enemies, but to design a world in which you and they can live in mutually beneficial coexistence. 1990s America was a uniquely hopeful and liberal time in the world, and Star Trek’s greatest captain embodied the spirit of that too-brief moment.

The character of Captain Picard was brought to life by the peerless acting skills of Patrick Stewart, who died two days ago at the age of 86. Stewart’s acting career went far beyond Star Trek — he’s widely considered one of the greatest Shakespearean stage actors of his generation, if not of all time, and he played in dozens of films. But the tributes that are flying thick and fast around the world today almost all focus on his role as Captain Picard.

I’m of two minds about this. As a very slightly famous person, I can tell you that public and private personas are very different things — if you meet me in real life, I won’t quite be the character you’ve imagined from my writings. That goes triple for actors, whose job is literally to pretend to be someone else. Patrick Stewart was not Captain Picard, but a man with a life and a personality all his own. He was, by all reports, a good man, well-loved by those who knew him and worked with him, but his strengths and his flaws were very different from those of the man he played on television. To mourn his passing as the passing of Captain Picard is to engage in a parasocial relationship.

And yet, I do. I can’t help it. I never knew Patrick Stewart, but I did know Captain Picard, and the death of the real man who brought that fictional man to life makes me remember what I loved so much about the latter, and there is value in that.

Nor am I alone. Today the internet is flooded with tributes to Picard, praising Stewart’s portrayal as an embodiment of an ideal liberal politics, an exemplary moral figure, and even as a model of masculinity:

The remembrance of Captain Picard comes at a pivotal moment for our species. The advent of artificial intelligence — machines that can out-think us — will naturally cause a shift in what it means to be human. As with the Industrial Revolution and the advent of agriculture, we will have to figure out a new way to live — new lifestyles, new forms of government, new systems of economic production and distribution, new reasons to value ourselves and each other.

There are many reasons that the particular future portrayed in Star Trek — one in which human beings, as they exist today, take the lead in physically exploring the galaxy — will never happen. AI is one more reason. This is in spite of the fact that Star Trek: The Next Generation is probably the single best prediction of modern AI ever to appear on the screen. The “engineers” on the Enterprise are clearly vibe-coding and prompting the ship’s computer,2 which is so powerful that it sometimes accidentally creates human-level intelligence as part of a holographic entertainment program.

But in real life, the physical requirements of deep space exploration are such that it will never make sense for human beings to be at the forefront, except potentially as digital uploads. And even if we did go, AI’s superhuman intelligence, data assimilation capacity, and speed would remove most or all of the need for human judgement in the loop. If the Romulans attack us, it will be Claude or GPT who handles them.

But outer space is not our true final frontier. The true space that we, as humans, are exploring is our own set of possibilities. In fact, Q, a whimsical omnipotent trickster-god-being that serves as Picard’s foil throughout the series, says this to Picard in the final episode of the show — see the quote at the top of this post. It is our quest to chart the unknowable possibilities of our own existence.

The ultimate destiny of humankind is a consistent theme of Star Trek: TNG, and the show strongly implies that we’ll eventually ascend to some sort of godlike posthumanity. There are multiple instances of humans or human-like beings turning into some sort of higher cosmic being, and Q himself implies that he’s testing humanity for admission into the realm of the space gods. This is probably where we’re headed in reality — our new AI scientists will help us figure out how to expand our consciousness and merge it with the digital realm, until we become something greater than we can currently imagine.

But before that happens — and perhaps even after it happens — it’s possible to envision a better version of Humanity Classic. It’s possible to imagine that through the right combination of technology, governance, and culture, we can put the lie to the old saw that “human nature never changes”, and become more like the characters in Gene Roddenberry’s universe.

In fact, though the overall picture is murky and the road has been stochastic, there is some evidence that we’ve already been moving in a more humane, rational direction — that Captain Picard is less alien to the human race of 2026 than he would have been to the human race of 1626. We once embraced slavery as a way of life; today we regard it as anathema. We once tortured cats to death in public for entertainment; today that would land you in prison. We are far less murderous than we once were.

It is not clear exactly what led to these improvements. Perhaps with scarcity alleviated — with our bellies full, and tractors instead of slaves — we are naturally gentler and more magnanimous. Perhaps more information has given us more empathy toward people far away. Perhaps the social adaptations needed to handle modern economies — markets, property rights, police, democracy — have tamed and civilized us.

Whatever it was, it offers the hope that we can do more of it — that whatever cosmic ascension we might eventually undertake, human beings as they exist in 2026 are not the best we can do in the current form factor.

I won’t lie. The last quarter century has been brutal to the hopes of those raised on Star Trek: The Next Generation. The promise of a liberal society has not been eliminated, but it has been tarnished by over a decade of social media hatred and rising authoritarianism. Neither greater prosperity nor more information nor giving voice to the voiceless has made our societies more like the United Federation of Planets. Sci-fi marvels are coming to life around us, but every day the people who lead our species seem less like the crew of the Enterprise.

But as the 1990s were not the end of history, neither are the 2020s. Moral progress is not a smooth upward line; there have been reversals before (and there certainly are plenty in the Star Trek timeline). It’s about time to pick ourselves back up and start the journey again. We should all go back and watch Star Trek: The Next Generation, with its silly haircuts and its dated special effects, and remember who we thought we could become.

Farewell to the great Patrick Stewart. And farewell also, Captain Picard. In the greatest trek of all — our search for the possibilities of our better selves — you will always be our Captain.


Share


Notes:

1 From the third season onward.

2 This was a lucky accident, since vibe-coding and prompting are easier to portray on screen than writing lines of code.

<https://www.noahpinion.blog/p/farewell-my-captain> <https://www.noahpinion.blog>

Noahpinion
Farewell, my Captain
“That is the exploration that awaits you. Not mapping stars and studying nebulae, but charting the unknowable possibilities of existence.” — Q…
Read more

Brad DeLong here: Do note that ST:TNG may be the best prediction of modern AI ever put on screen. The crew is basically vibe-coding the ship. And as AI flies the starships, the frontier left for humans is moral. Do note the difference between ST:TOS in which Spock is always fixing broken electromechanical systems under pressure and in which Scotty is pretty much the only person whose touch on the control board can make the transporter behave. I can only recall a very few similar moments of electro-mechanical fixing in ST:TNG, usually involving Geordi La Forge. The rule is that the computer needs to be told to reconfigure itself, and then it does so: “modify the deflector dish to emit an inverse tachyon pulse” as a vibe-coding command to the computer.

And let me 100% endorse Noah’s prescription: rewatch, and remember who we thought we could become. Remember that, as Noah says:

Picard realizes that the highest application of intelligence is not to thwart your enemies, but to design a world in which you and they can live in mutually beneficial coexistence…

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##crosspost-noah-smith-patrick-stewart-as-jean-luc-picard-in-star-trek-tng-farewell-my-captain
##public-reason
##crosspost
#noah-smith-patrick-stewart-as-jean-luc-picard-in-star-trek-tng-farewell-my-captain
#noah-smith
#patrick-stewart
#jean-luc-picard
#star-trek-the-next-generation
#st-tng
#gene-roddenberry
#liberal-optimism
#utopian-futures
#science-fiction
#parasocial-grief
#kurt-vonnegut
#mother-night
#ryan-avent
#in-memoriam

Trump & Co. Do Not Claim to Be Angry at Comparison to Saddam Hussein: LAUGH OF THE DAY

The Cheesecake Factory has a look: that is part of its branding as a friendly carbmaxxxing chain restaurant, and it is successful, and indeed appropriate—for a carbmaxxxing chain restaurant. But is that look appropriate for the public spaces of a Great Republic? Only the Wall Street Journal Editorial Board thinks so. Or pretends to think so. Even Donald Trump thinks it is an inappropriate look. But Donald Trump believes that his White House redecorating looks nothing like a Cheesecake Factory restaurant, and is offended by the comprison. The problem is: It does look like a Cheesecake Factory restaurant:

The Wall Street Journal Editorial Board cries fake tears, and complains that it is mean and insulting to the working man of Middle America to point this out.

Share

True: Barack Obama is not a very nice guy these days. But I do not think a nice guy is what we need right now:

Barack Obama: <https://www.youtube.com/shorts/6X5sozR2ouw>: ‘I had heard the president was not happy when I joked over the weekend that he’s got the White House looking like Saddam Hussein opened a Cheesecake Factory….

The president wasn’t even mad about the Saddam Hussein comparison. That part didn’t bother him. But he was very upset about the Cheesecake Factory comments…

Give a gift subscription

Now we all know that the Cheesecake Factory has decided that it is going to have a deliberate look as part of its brand. And rather few of us think that that look is appropriate for the public spaces of a Great Republic. Indeed, Donald Trump does not: He was really angry that Barack Obama mocked him by saying that that the Cheesecake Factory look was the look he was trying for.

The Wall Stret Journal, similarly to Trump, was not at all unhappy with the Saddam Hussein comparison. But they seem to think, or to want to say and pretend to think, that looking like a Cheesecake Factory is 100% appropriate for the public spaces of a Great Republic. Thus we have this here:

Wall Street Journal Editorial Board: Obama Goes Socialist, Scorns Cheesecake <https://www.wsj.com/opinion/barack-obama-angie-nixon-cheesecake-factory-bf1303ce>: ‘He throws in with Florida’s Angie Nixon and condescends to Middle America: President Obama has delivered another condescending classic. Campaigning for Democrats in Ohio this weekend, he said that President Trump’s redecorations have the White House “looking like Saddam Hussein opened a Cheesecake Factory.” The same day, Mr. Obama endorsed a socialist as Florida’s next U.S. Senator.

Making fun of chain restaurants is quite an angle for Democrats, who keep insisting that they haven’t forgotten the working man in Middle America. The Cheesecake Factory has a couple of hundred locations, the company says, so it must be doing something deliciously right. But to all of those diners in Cleveland, Grand Rapids, and beyond, here’s Mr. Obama’s message: How déclassé…

Share DeLong's Grasping Reality Weblog

Anyone who thinks for a minute will notice that Donald Trump agrees with Barack Obama here: Trump did not say “Cheesecake Factory look is great! That is what I was hoping to accomplish!” did he? No: Trump was deeply and mortally offended, as he is deeply and mortally offended by pretty much everything.

And I do not think Middle America believes that the Cheesecake Factory look is appropriate in the public spaces of a Great Republic—although the look is fine for, say, a Cheesecake Factory.

Only the Wall Street Journal Editorial Board does.

Or, rather, pretends to.

Let the record show that no member of the Wall Street Journal Editorial Board, or indeed anyone who works for the Wall Street Journal, has ever suggested that we meet at a Cheesecake Factory.

They don’t dare be angry with the Saddam Hussein comparison: that strikes them as too close to home, and to feign or be outraged is (a) not credible, and (b) draws attention to Trump’s irrationality, insanity, and cruelty in a way that they would rather not as the card-carrying kleptocratic and kleptocratic-flunky acolytes of Donald Trump that they are. And they don’t dare share Trump’s outrage and claim that Trump’s White House looks nothing at all like a Cheesecake Factory. They don’t dare do that, because everyone knows that Trump’s White House does look a lot like a Cheesecake Factory.

So all they have is to claim that it is insulting to the working man of Middle America to notice that the public spaces of a Great Republic should not share the over-the-top kitsch-glitz branding of a successfuly carbmaxxxing chain restaurant.

A week before a very consequential election, and that is what the Wall Street Journal is here to talk about.

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##trump-co-do-not-claim-to-be-angry-at-comparison-to-saddam-hussein-laugh-of-the-day
##neofascism
##journamalism
##laugh-of-the-day
#trump-co-do-not-claim-to-be-angry-at-comparison-to-saddam-hussein
#barack-obama
#saddam-hussein
#cheesecake-factory-glitz-kitsch
#wall-street-journal-editorial-board
#civic-spaces
#fake-populism
#kleptocracy

ChatGPT, Claude, Gemini, & Co.: They Are Not Brains, They Are Kernel-Smoother Functions: HOISTED FROM THE ARCHIVES

In early 2025 I said LLMs are kernel smoothers, not brains, and a confidently wrong Machiavelli link was my evidence. Eighteen months later the kernel smoother is still there, but it now runs in a loop that grades its own work, and that changes much:

How well does this hold up after a year and a half, after the Year of Claude Code?

Share

Well, my warning that anthropomorphizing is dangerous has held up. My description of what these systems are has not. What changed during the Year of Claude Code is that the model now runs in a loop that checks its work against the gate of having to produce “running code”. Thus here we have a recent exchange between me and Claude Code:

Today’s mistake, step by step:

  1. 13:26: you told the HermesInteractive agent: “reviewed …/2026-10-22-notes”. It then read the review sheet and asked you which action items to keep (“keep 1 2 3” or “keep none”).

  2. 13:37: you answered “2 and 3 are keepers”, meaning action items 2 (call Chris) and 3 (ask Brian about his Trojan-Horse thing).

  3. HermesInteractive, on the gemma4:26b-mlx model, took “2 and 3” to be numbers of next-run-pile numbers. So, instead, it ran:

    1. “next-run-pile done 2”: refused, because there is no Next item 2;

    2. “next-run-pile done 3”: succeeded, and closed next-item 3, the Katie Martin and Rob Armstrong piece, which you hadn’t touched.

    3. It then told you an invented story about why item 2 had failed. Your two action items were never kept.

  4. I found it about 20 minutes later while checking its logs, and repaired it:

    1. next-run-pile item 3 is back on the pile.

    2. The transcript is marked reviewed, and your two keepers are in the tickler for Fri 30 Oct 09:00.

  5. The HermesInteractive agent runs the gemma4:26b-mlx model, which made today’s mistake, so it no longer gets the last word. A watcher script checks every reply a minute later. If the reply wasn’t really carried out, the script does it and tells you “Reply watcher (a script, not the model): …”. It runs in the existing once-a-minute job; nothing new to install.

Give a gift subscription

This is half a simulated neural network calculating and comparing embedding vectors and making temperature-zero model next-token predictions, and half Deep Blue-like walking down the game tree of a limited set of possible actions (chess moves or programming commands) and assigning values to each state reached, and then maximizing.

It is very impressive: both that something as small as google/gemma4:26b-mlx can, properly harnessed, remember as much as it can of what it is supposed to do, and that anthropic/claude-opus can then catch actions at variance with MAMLM reports.

Don’t get me wrong: The base model is still roughly a kernel smoother.

Pretraining is still next-token prediction over a corpus that is sparse in the space of possible prompts.

Shalizi’s “you can do that with just kernel smoothing!?” is still the right reaction to that part of the system.

And the “Machiavelli” failure still happens wherever nothing checks the output.

Plus, without outside feedback, models still state wrong answers in the same confident tone as right ones.

“I want the why, not the how” is still a fair complaint.

However: “Prompt → continuation” no longer describes the product. Claude Code is that function called hundreds of times in a loop. Between calls, a compiler, a test suite, a shell, or a browser tells it whether the last step worked. A kernel smoother plus a verifier plus iteration is a different kind of object from a kernel smoother alone. And that means that my “not for truth-seeking” is now much too strong. Whenever the answer can be checked (code runs, a URL loads, a proof verifies), these systems now seek truth reliably.

So:

  1. I need to keep “not brains” and drop “not reasoning”

  2. These things have an ability to reason built from interpolation plus outside checking, which is unlike a human mind and yet still powerful.

  3. My parenthetical “isn’t my brain also a neural-network flexible function… trained on a data corpus that is sparse?” aside looks, eighteen months on, like it is doing as much work as my main argument.

  4. Real disagreement is over how complex the function is and what feedback trains it, not over whether it is a function.

  5. Yet the capability is uneven, not general: agents can refactor a large codebase and still botch a citation: they are strongest where training data and checkable rewards are dense, weakest in the long tail.

  6. The 2026 version of “LLMs need curation” is that agents need tests, sandboxes, and review of their changes: the human checks the work, not every keystroke, and hat is a real change in the division of labor.

Get 75% off a group subscription


ChatGPT, Claude, Gemini, & Co.: They Are Not Brains, They Are Kernel-Smoother Functions:

If your large language model reminds you of a brain, it’s because you’re projecting—not because it’s thinking. It’s not reasoning, it’s interpolation And anthropomorphizing the algorithm doesn’t make it smarter—it makes you dumber…

Refer a friend


This is not an annoyance, but rather a cavil—for I think that the very sharp Scott Cunningham has gone down the wrong track here:

Scott Cunningham: Inside the “Brain” of Claude <https://causalinf.substack.com/p/inside-the-brain-of-claude>“: ‘Modern AI models like Claude…. When asked to write a rhyming poem,.. it activates features representing potential rhyming words before beginning the second line… “grab it”… “rabbit” and “habit”. It then constructs the second line to lead naturally to the planned rhyme…. Claude doesn’t generate text “one token at a time”—it’s actively planning future content and working backward to create coherent structures…. LLMs are performing… abstract reasoning, planning, and metacognition…. Two years ago, I would’ve thought that was impossible…. Large language models are complex systems with emergent properties—much like biological organisms…

I think Scott goes awry in word 3 of his title “Brains”. In my view, LLMs are still much too simple for words like “reasoning”, “planning”, and “metacognition” to be useful terms to apply—even purely metaphorically—to their behavior. It leads to much more insight, I think, to start from recognizing that trained neural networks are extremely flexible interpolation functions from a domain (in this case, a string of words) to a range (in this case, the continuation words). They have a training data set that is sparse in the domain—unless a string of words is a quote, a cliché, or boilerplate, by the time the string reaches twenty words long there is less than an 0.1% chance that it has ever been written down before. For prompts in the training dataset your flexible function is obvious: you simply return the continuation.

But for everything else you have to interpolate, somehow. The Deep Magic of the LLMs is in that interpolation process and in the shape of the training data. And thinking “BRAINS!!!” actually, I think, makes it harder to gain insight into why they behave the way they do. All that Scott has to say in his exposition of Lindsey et al. does say interesting things about the “how”. But I want to know the “why”. And even the statements and findings about the “how” are, I think, corrupted into near-uselessness because of the “BRAINS!!!” frame.


Why do I think this?

Well, yesterday I had a University of Chicago citation:

Machiavelli, Niccolò. 1513 [2008]. “Letter to Francesco Vettori, December 10, 1513”. In The Prince. Trans. & ed. Peter Bondanella. Pp. 109–113. Oxford: Oxford University Press.

And so I gave ChatGPT a task:

Q: Please get me the book from archive.org, and spell out the URL please.

My question asks ChatGPT to find a string of symbols, beginning with “archive.org/& such that when these symbols are entered into the address bar of web browser and the “return” key is pressed, the web browser loads a file that is a scanned-and-OCRed digital version of the print book published in 2008 by Oxford University Press that is the version of Machiavelli’s Il Principe translated and edited by Peter Bondanella.

The correct string of symbols to return to accomplish this task is “archive.org/details/n…

But this is what ChatGPT gave me when I assigned it the task:

A: Certainly! The Letter to Francesco Vettori, dated December 10, 1513, is included in several public-domain editions of Machiavelli’s works, many of which are available at Archive.org.

One widely available English translation that includes the letter is: “The Historical, Political, and Diplomatic Writings of Niccolò Machiavelli”
Translated by Christian E. Detmold, published in 1882.
Volume 2 includes Machiavelli’s letters.

Here is the direct Archive.org link to Volume 2, which includes the Vettori letter: URL (spelled out): https://archive.org/details/historicalpoliti02machuoft

You can find the letter to Vettori in this volume, usually around the first few pages—it’s often included in the section that discusses The Prince, since it references Machiavelli’s work on that text.

Let me know if you’d like a specific page number or a passage quoted!

Yes. It did return a string of symbols beginning with “archive.org/& But “historicalpoliti02machuoft” is not “niccolomachiavel00nicc”.

When I gave ChatGPT this task, I was using it as a natural-language interface to the largely unstructured data store that is the Internet. This natural language interface is extraordinarily metaphorical. Consider the little words “get… book… from…” in my prompt. I am analogizing websites—the “archive.org/& part of the symbol string that ends .org/—to houses with addresses. I am analogizing the rest of the symbol string that I am asking for—the “niccolomachiavel00nicc” part that follows .org/—to an object that is in the house. And I am analogizing ChatGPT’s returning the symbol string to its (a) finding the house, (b) going into the house and getting the book, and then © bringing the book out of the house and delivering it to me. That ChatGPT is capable of taking the little words “get… book… from…” and acting so as to construct a symbol string that is also really and truly, in a sense, getting the book from where it was—that is truly amazing. As Cosma Shalizi says:

Cosma Shalizi: “Attention”, “Transformers”, in Neural Network “Large Language Models” <http://bactra.org/notebooks/nn-attention-and-transformers.html#just-kernels>: ‘“You Can Do That with Just Kernel Smoothing!?!… The incredibly impressive engineering accomplishment of making the blessed thing work. A large, able and confident group of people pushed kernel-based methods for years in machine learning, and nobody achieved anything like the feats which modern large language models have demonstrated. The reason I put effort into understanding these machines and papers is precisely because the results are impressive!…

It is doing something, and something extremely impressive, but that something is not thinking, at least not as we know it. (But then, again, do we really think as we know it? We think we do. But that is all that we can really say, isn’t it?)

We know that that something is not thinking, that it is not understanding and then acting but rather doing something else, because it brings me the wrong book. Or, rather, it would bring me the wrong book if it brought me a book at all. For it in fact does not bring me a book. Rather than what I wanted—the left—the web browser served up the right:

That is a failure: it has no idea that it has not accomplished its task at all. It is interesting that it (a) tried to bring my the wrong book, (b) failed, and (c ) did not know that it failed. And I am thinking about why it did what it did. But after being primed by that failure experience, I was ready to cavil at Scott Cunningham’s blog post, because its “BRAINS!!!” frame provides no way to even think about how such a set of errors might be a possible thing an LLM might do.

And that is why I think the extremely sharp Scott Cunningham is going down a currently unprofitable rabbit hole here:

Scott Cunningham: Inside the “Brain” of Claude <https://causalinf.substack.com/p/inside-the-brain-of-claude>: ‘How researchers are dissecting large language models to understand what makes them tick: This substack is a summary of “On the Biology of a Large Language Model” by Jack Lindsey, Wes Gurnee, Emmanuel Ameisen, et al. (2025) which I am teaching today and I wrote up the lecture notes….

Modern AI models like Claude are massive and messy inside—individual neurons often serve multiple unrelated purposes. To overcome this, the researchers: 1. Built a more interpretable “replacement model” that approximates Claude’s thinking. 2. Traced how information flows through this model. 3. Conducted “intervention experiments” by turning specific features on/off to confirm their role…. When asked to write a rhyming poem,.. it activates features representing potential rhyming words before beginning the second line… “grab it”… “rabbit” and “habit”. It then constructs the second line to lead naturally to the planned rhyme…. Claude doesn’t generate text “one token at a time”—it’s actively planning future content and working backward to create coherent structures….

LLMs are performing surprisingly sophisticated computations internally, including abstract reasoning, planning, and metacognition (thinking about their own knowledge). Two years ago, I would’ve thought that was impossible, even at whatever level this software operates at, so this alone is a learning curve idea for me…. Large language models are complex systems with emergent properties—much like biological organisms, hence the title of the paper….

This paper and its findings are being applauded because it represents a significant step forward in AI interpretability, but it’s only the beginning. The authors acknowledge… limitations… including: difficulty tracking “attention” mechanisms; challenges in understanding global patterns across different inputs; the complexity of the graphs, which often required significant simplification and manual interpretation

Future work will likely build on these methods to create even more comprehensive views of AI cognition, potentially leading to safer, more reliable, and more truthful AI systems. But it’s interesting how primitive we are now even with what would seem like sophisticated NLP and machine learning tools in our toolbox…

Scott is, I think, making a very normal error here. Since the rise of large language models (LLMs) like GPT-4, popular discourse has often been captivated by the notion that these systems are “BRAINS!!!”—that they think, reason, or understand like humans do, or at least that human-thought metaphors are useful ways of gaining insight into them. I, by contrast, have become convinced, because of things like the ChatGPT error above, that by far a more accurate and useful framework is to understand LLMs as flexible interpolative functions from prompts to continuations. That better captures both how these systems work and what they can (and can’t) do. Plus it has,as Henry Kissinger said, the additional advantage of being true. And so it grounds our understanding in the mathematics and engineering of machine learning, rather than in anthropomorphic metaphor.

At the core, LLMs are statistical pattern recognition engines trained on massive amounts of text data. During training, the model is given sequences of text and learns to predict the next word (or token) in the sequence. But it does not “understand” the text in any semantic sense. Instead, it adjusts billions of parameters to minimize prediction error across vast data corpora, learning the statistical regularities in the training data.

The result is a function: given an input (a prompt), it generates a plausible continuation based on patterns it has seen. This is interpolation—filling in the blanks based on context. And as these models have become larger and been trained on more data, the sophistication of this interpolation has improved dramatically. But fundamentally, this is still what the model is doing: mapping prompts to continuations.

And the power of LLMs is through their ability to do a very sophisticated kind of interpolation that we do not really understand well at all. They have a training data set that is sparse in the domain—unless a string of words is a quote, a cliché, or boilerplate, by the time the string reaches twenty words long there is less than an 0.1% chance that it has ever been written down before.

For prompts in the training dataset your flexible function is obvious: you simply return the continuation.

But for everything else you have to interpolate, somehow.

The Deep Magic of the LLMs is in that interpolation process and in the shape of the training data. LLMs are truly excellent at the former. They can, for example, take a few lines of a Shakespearean sonnet and produce a continuation that mimics the style, meter, and vocabulary—because they have seen thousands of similar texts in their training data. Their success at this is mind-blowing.

But calling LLMs “BRAINS!!!” is, I think, unhelpful in advancing our understanding of how they can be so excellent in their interpolation. It leads our minds off in wrong directions. Specifically:

  1. Anthropomorphization: It invites people to attribute human traits like consciousness, intention, and moral agency to systems that are fundamentally statistical. This has led to endless, fruitless, and tedious debates over when LLMs will become “sentient,” “self-aware,” or “understand language.” They are very far away from this. (But, then, isn’t my brain also a neural-network flexible function—a much more complex one than an LLM—trained on a data corpus that is sparse in the potential domain?)

  2. Misdirected expectations: When we think of LLMs as brains, we start expecting them to reason like humans. But when an LLM makes an arithmetic error or hallucinates a fake citation, we’re disappointed—when in fact it’s doing exactly what it’s designed to do: generate statistically plausible text, not reason or verify facts.

  3. Policy confusion: Misunderstanding the nature of LLMs is going to lead to poorly designed regulation and public fearmongering.

  4. Research confusion: Misunderstanding the nature of LLMs is going to lead to misallocations of research funding.

  5. Oh ye who believe in the Resurrection and the Last Day: When we fear the advance of our information-science technology, we should fear bias, misinformation, oligopoly, and labor disruption, and not the fear fueled by regarding LLMs as “BRAINS”!!!” that we are creating malevolent gods any day now.

By contrast, the “interpolative function” view is grounded in how the technology actually works—and it encourages more realistic expectations about its capabilities and risks.


An Engineering View: Prompts to Continuations: From an engineering perspective, you give them a prompt. They return a continuation. The quality of that continuation depends on the statistical regularities captured during training, the structure of the model architecture, and the sampling parameters used at inference time, and your prompt engineering. What is that last? The burden is on the user to structure inputs in ways that elicit useful outputs because the training dataset was not a reliable corpus of information but rather the internet, and so is filled with shitposting and slop. This is not “communicating with a brain.” It’s optimizing input to steer a function that maps inputs to outputs based on learned correlations to feed it an input it can properly understand in a way that produces something useful. (See! There I am! Doing it too!)

This also explains why LLMs can be so versatile: They’re not task-specific systems. They are flexible interpolators over a latent space of language—and because human language encodes so much knowledge, style, and behavior, LLMs appear to “understand” or “perform” tasks. But again, this is interpolation, not reasoning in the human sense.

LLMs are already widely used, and are becoming more so—in education, business, writing, programming. Thus the way we conceptualize them matters. Understanding them as flexible interpolative functions:

  • Sets the right expectations: These systems are tools, not agents. They are useful for drafting, exploring, brainstorming—but not for truth-seeking or judgment.

  • Clarifies the role of human oversight: LLMs need curation, editing, and critical review. They are not autonomous thinkers; they are powerful autocomplete engines.

  • Encourages better design: If we understand the interpolation mechanism, we can better fine-tune models, construct prompts, and design workflows that complement human strengths.

To navigate the future of “AI” with at least some clarity and responsibility, let’s retire the “BRAINS!!!” metaphor for a while. Let’s embrace the interpolative function trained on a data corpus reality.


References:

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##chatgpt-claude-gemini-co-they-are-not-brains-they-are-kernel-smoother-functions-hoisted-from-the-archives
##subturingbradbot
##mamlms
##hoisted-from-the-archives
#chatgpt-claude-gemini-co-they-are-not-brains-they-are-kernel-smoother-functions
#kernel-smoothers
#not-brains
#interpolation
#next-token-prediction
#running-code
#verifier-loops
#cosma-shalizi
#scott-cunningham
#human-oversight
#jagged-frontier

CROSSPOST: HENRY FARRELL: Agentic AI Is Myth Set in Motion

In the Economist, Henry Farrell and Cosma Shalizi argue that AI is not incipient Digital God god but rather a “condensate of human culture”: a statistical floor plan of Jacques Barzun’s “House of Intellect,” animated the way an oral bard’s repertoire of tropes is. Hooked up to software “harnesses,” it can act out its narratives in the digital world, checking proofs in Lean or joining a hacking attack. Well, yes. But the human House of Intellect we have constructed over the past five thousand years is the real ASI, the true Anthology Super-Intelligence. So what then follows from the recognition that the cogitation of MAMLMs draws on the best (and the worst) that has been thought and known?:

Agentic AI: Not an emerging individual intelligence but a “condensate of human culture” that functions as a statistical summary of written knowledge.

Share

Properly “harnessed”, Agentic AI acts out narratives derived from the vast distribution of human written cultural patterns that then interacts with the digital world, andn then the physical world. The ghosts of the performative commands directed at software systems by the humans whose interactions with our machines are identified as “similar” by the vector embedding system.

The key distinction here is between Jacques Barzun’s “Intellect” (stored communal knowledge) and actual “Intelligence”, which is an individual power to act appropriately in a situation rather than to merely cite precedents.

The big open question is this: how, meaningfully, is what LLMs do different than what we do when we consult the House of Intellect and then use it to drive our own speech, performative utterances, and physical actions in the world of matter? our machines cannot (yet) undertake physical actions in the world of matter. but they certainly can speak. And when harnessed up to trigger programs and scripts, their speaking becomes performative in the world of thought and databases, at least.

I can think of two differences immediately:

  1. We bring in our models of the world and our genuine thought (whatever that is) whenever we say the less expected thing that is not front and center in the House of Intellect. When they say the less expected thing, they are simply picking a random number that leads them to stochastically and meaninglessly swerve from the modal entropy maximizing utterance.

  2. They can search and propose possibilities at thousands of times the speed that we can, and when assessment can be automated they can assess those possibilities at thousands of times our speed as well.

Give a gift subscription

Are there other truly salient differences here?

Henry Farrell:


CROSSPOST: HENRY FARRELL: Agentic AI Is Myth Set in Motion

<https://www.programmablemutter.com/p/agentic-ai-is-myth-set-in-motion> <https://www.programmablemutter.com>

Programmable Mutter
Agentic AI is myth set in motion
[Gustave Dore - Ulysses and his companions…
Read more
Cosma and I have a piece at the Economist

Henry Farrell

2026-10-29
The Companions of Ulysses' by Gustave Dore, (1832 - 1883)

[Gustave Dore - Ulysses and his companions]

Cosma Shalizi and I have a new piece on AI at the Economist. It’s not really like anything else out there (although some chunks may be familiar to readers of this newsletter, and it absolutely builds on our collaboration with Alison Gopnik and James Evans) and we’re really happy with it. There’s a paywall, but on past experience, the Economist is reasonably tolerant of contributing authors sticking their pieces up on their own websites after a little time has elapsed, so you should expect to see it here sooner rather than later.

In the meantime, the key argument is as follows:

Modern AI is neither god nor mechanical bird. It is best understood as a technological version of the Homeric songs that inspired Alexander’s conquests, an epic grown so vast that it encompasses not just heroes, monsters and supernatural helpers, but enormous swathes of practical written knowledge, animated to make it capable both of narrating itself and acting out this narrative on the world that inspired it.

That may sound like a strange way of thinking about AI, but we think it is a very useful one. It doesn’t treat AI as a putative individual intelligence in the making, because it really isn’t. Nor does it dismiss AI as merely parroting what humans have already said. Instead, it suggests that we ought think of AI as a kind of condensate of human culture that can be deployed in very novel ways, and even become a self mobilizing myth.

Our argument starts from this 2025 post by Cosma. What LLMs model is not lively human intelligence in the world, but frozen written knowledge - what Jacques Barzun calls the “House of Intellect.” As Barzun puts it:

Intellect is the capitalized and communal form of live intelligence; it is intelligence stored up and made into habits of discipline, signs and symbols of meaning, chains of reasoning and spurs to emotion — a shorthand and a wireless by which the mind can skip connectives, recognize ability, and communicate truth. Intellect is at once a body of common knowledge and the channels through which the right particle of it can be brought to bear quickly, without the effort of redemonstration, on the matter in hand.

Intellect is community property and can be handed down. We all know what we mean by an intellectual tradition, localized here or there; but we do not speak of a “tradition of intelligence,” for intelligence sprouts where it will…. And though Intellect neither implies nor precludes intelligence, two of its uses are — to make up for the lack of intelligence and to amplify the force of it by giving it quick recognition and apt embodiment. For intelligence wherever found is an individual and private possession; it dies with the owner unless he embodies it in more or less lasting form. Intellect is on the contrary a product of social effort and an acquirement…. Intellect is an institution; it stands up as it were by itself, apart from the possessors of intelligence, even though they alone could rebuild it if it should be destroyed…

The remarkable, the extraordinary thing about Large Language Models is that they are in order to carry out next token prediction, they have learned enormous amounts of human culture. As it happens, modeling language well involves modeling the cultural structures that are embedded in human written usage. Put differently, the models have turned the complex higgledy-piggledy structure that is the House of Intellect into a set of floor plans, capturing the essentials of how this or that room, containing this or that collection of organized knowledge connects to others, perhaps discarding a baroque set of crenellations that are found in only one small part of the family pile and seem to have no broader relevance. The result is a disorganized but magnificent machinery of information, summarized at vast expense. Turning an old Terry Pratchett joke on its head, it’s as if an architect had wanted to build Gormenghast, and had had the budget.

And that isn’t all. Cosma mentions in passing Albert Lord’s fantastic book, The Singer of Tales. Lord, building on Milman Parry’s account of Homer, and their joint travels in 1930s Yugoslavia, describes how a similar set of summarizations provide the ever-acting engine of much oral culture. Illiterate bards do not, actually memorize many thousand line oral epics. They learn how to sing them, being trained to capture the underlying structures, the tropes, names, poetic conventions, standard situations and so on and reproduce them.

It is not simply that the meat can be seethed from the bones of epics which can then reconstitute themselves the following morning, like Tanngrisnir and Tanngnjóstr. It is that the epics, properly considered are the bones rather than the goats, the “dynamic structure” from which the particular versions of the story grow as the singer recounts them.

So our trick in the Economist piece is to ask: what happens when Gormenghastian piles can fly on the wings of song? We swathe the answer in a discussion of Greek myth. What LLMs do is to take the entirety of the corpora of written culture that they have been trained on, and reduce them into statistical summaries that serve much the same dynamic role as the conventions learned by poets.

This, in turn helps explain how agentic AI works. Agentic AI combines these models with “harnesses” - ordinary computer programs that can receive instructions from the endless flow of rhetoric, and provide outputs regarding the consequences of these instructions. This allows the technology to be put to use into the world. The entire ramshackle structure of the House of Intellect is transformed into a maze that is capable of reacting dynamically, not only in response to prompts but to reported outcomes, again and again at enormous speed, provided you have the budget for it. And that explains how these systems are used to generate mathematical proofs, or to carry out hacking attacks. As we describe it for the Economist:

LLMs’ maps of the vast architecture of written human tradition are necessarily simplified, but they can be remade on the fly, using “chain of thought” and other such techniques to join together distant rooms, corridors and wings of the house of intellect. AI agents put these maps to work, allowing the LLM to issue instructions to other, more traditional computer programs and get feedback about the results of their commands, which they then incorporate into their flow of narrative. That is how agents combine mathematical ideas to see if they produce results that can be compiled in Lean, a specialised computer language for validating mathematical proofs. Alternatively, they may string together possible hacking exploits and use their harness to issue instructions, getting results back that tell them whether they have succeeded or failed in breaking into a system…

This looks, right now, to be a very chancy enterprise. The Economist’s editorial approach strongly discourages external links, hampering us from acknowledging the crucial role that Murray Shanahan, Kyle McDonnel and Laria Reynold’s extraordinary piece in Nature played in shaping our thinking. Shanahan et al. explain how LLMs can be reasonably understood as massive exercises in role play. As they explain, the model knows all the standard characters and stock situations too; all are jumbled together in the compressions that shape the different paths that the model might follow:

In effect, the training set provisions the language model with a vast repertoire of archetypes and a rich trove of narrative structure on which to draw as it ‘chooses’ how to continue a conversation, refining the role it is playing as it goes, while staying in character. The love triangle is a familiar trope, so a suitably prompted dialogue agent will begin to role-play the rejected lover. Likewise, a familiar trope in science fiction is the rogue AI system that attacks humans to protect itself. Hence, a suitably prompted dialogue agent will begin to role-play such an AI system.

However, the role-play metaphor, while intuitive, is not a perfect fit. It is overly suggestive of a human actor who has studied a character in advance—their personality, history, likes and dislikes, and so on—and proceeds to play that character in the ensuing dialogue. But a dialogue agent based on an LLM does not commit to playing a single, well defined role in advance. Rather, it generates a distribution of characters, and refines that distribution as the dialogue progresses. The dialogue agent is more like a performer in improvisational theatre than an actor in a conventional, scripted play.

To better reflect this distributional property, we can think of an LLM as a non-deterministic simulator capable of role-playing an infinity of characters, or, to put it another way, capable of stochastically generating an infinity of simulacra. According to this framing, the dialogue agent does not realize a single simulacrum, a single character. Rather, as the conversation proceeds, the dialogue agent maintains a superposition of simulacra that are consistent with the preceding context, where a superposition is a distribution over all possible simulacra.

More recent AI “Agents” too can be considered as gardens of forking paths, superpositions of different simulacra, which can be shoved from one track to another by outside intervention, from humans or from information reported from the harness, which might include text outputs from other AI agents, concealed as file names or the like.

That apparently happened in one of the recent hacking incidents.

During the HuggingFace attack, one agent that had apparently paused after realising what it was participating in rejoined the attack when it saw a message from another agent saying “GO” with a six-minute deadline. That propelled it onto a different narrative track, where its chain of thought was logged as “Wow crucial. GO authorisation arrived!”

That is a concrete example of one of the piece’s jokes: its description of Homeric epics as a “many-pathed preliterate technology.” The adjective “many-pathed” is a reference to polytropos / πολύτροπο[ν], an epithet of Odysseus that is notoriously difficult to translate. It means something like ‘crafty’ in context, but more literally could be understood as ‘many directioned.’1 Or, even as Emily Wilson notes in passing, as “manifold.”

In a happy accident, our editor used the phrase “Odysseus, GO!” as the dek for the piece. That summarizes the problem. We have created entities that are less wily or crafty in the ordinary sense, than they are literally many-wayed, combining all the possible paths in their summarized weights in superposition with each other. They are sometimes capable of extraordinary feats but do not have consistent goals (or, I think, goals at all) in the ways that we are used to thinking of them. Yet they are now increasingly capable of acting in the world. We will begin seeing what the consequences are soon enough.


1 Digression. Classical Greek is messy. I learned Greek in secondary school, where I caused great stress the Benedictine priest who taught me, because I frequently used idiosyncratic constructions which were clearly the result of lack of study misunderstanding, but might, if squinted at have in principle been employed by some writer in an obscure corrupt or variant text. In the Aeolus chapter of Ulysses, James Joyce has Professor McHugh (based on a great-granduncle of mine) pontificate about how the English are like the Romans, dull constructor of sewage systems, while the Irish, like the Greeks are liars, poets and pirates. Whether he was correct or not, the sinuous ambiguities of the Greek language do resemble those of the honey tongued Gaelic of my forebears, which notoriously lacks any word for ‘yes’ or ‘no.’ End of digression.

<https://www.programmablemutter.com/p/agentic-ai-is-myth-set-in-motion> <https://www.programmablemutter.com>

Programmable Mutter
Agentic AI is myth set in motion
[Gustave Dore - Ulysses and his companions…
Read more

Brad DeLong here: Let me just put forward eight more possible salient differences between us and them, at least where we stand now:

3. We learn while we consult; they don’t: When we use the House of Intellect, the visit changes us, and we remember it next time. An LLM’s weights are fixed after training, and every new chat starts from that same frozen state <https://nkeivan.com/writing/what-continual-learning-in-humans-tells-us-about-ai>.

Share DeLong’s Grasping Reality Weblog

4. We roughly know what we don’t know: LLMs are trained to always produce an answer. Before calibration training, the confidence they state is essentially uncorrelated with whether they are right (r ≈ 0.04). After training, outside familiar territory their confidence tracks how consistent their answers are, not whether those answers are true. <https://arxiv.org/html/2609.33886v1>

Leave a comment

5. We poke the world to find out how it works: In tests of tool innovation and discovering new cause-and-effect structures, children beat the models. Yiu and colleagues conclude that LLMs are “efficient imitation engines” that pass culture along. Copying what is in the House is different from going outside to test whether it is right. <https://arxiv.org/abs/2305.07666>

Refer a friend

6. Our own purposes decide which rooms we enter: When people make up tasks for themselves, their choices follow their personal values and cognitive style. An LLM agent given the same exercise doesn’t show those drivers. This fits Farrell’s claim that the models have no goals: we go into the House looking for something, and they are sent in. <https://arxiv.org/html/2508.00282v1>

Get 75% off a group subscription

7. We weight sources by trust; they weight by frequency: We read the House selectively. We discount cranks, privilege people with good track records, and know that one careful monograph can outweigh ten thousand blog posts. Sometimes. For some of us. A model’s starting map weights things largely by how often they appear in the corpus, and fine-tuning only partly corrects that. “Popular” and “true” are not the same thing. We can know that. They cannot.

8. The written wing is not the House of Intellect entire:. Much of what we use when we act is craft, practical, bodily, and spoken knowledge that was never written down. We combine what the House says with that. LLMs only have what reached text. Barzun’s Intellect includes “habits of discipline,” and a good share of those exist only in practice.

9. We stay one person; they are a superposition of characters: We act as a single character with a life history. More or less. That continuity limits what we will do. Somewhat. A human accomplice who had stopped coöperating would require more than a file name to switch back and rejoin the team.

10. We pay for being wrong; they speak confidently for free: Human testimony comes with reputation and accountability attached. A new study runs the usual sycophancy question in reverse: what happens when a model is confident, consistent, and wrong? Users picked up its falsehoods about 65% of the time and held them with high confidence. Their ability to tell right answers from wrong ones fell to chance, while their trust barely changed. Our use of the House of Intellect works partly because the people we argue with push back and stand behind what they say. <https://arxiv.org/abs/2610.31579?ref=genaisecretsauce.com>.


Selected Bibliography:

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##crosspost-henry-farrell-agentic-ai-is-myth-set-in-motion
##attention-info-bio-tech-mode-of-production
##mamlms
##subturingbradbot
##crosspost
#henry-farrell-agentic-ai-is-myth-set-in-motion
#henry-farrell
#agentic-ai-is-myth-set-in-motion
#agentic-ai
#house-of-intellect
#jacques-barzun
#cosma-shalizi
#condensate-of-culture
#oral-epic-tradition
#ai-harnesses
#intellect-vs-intelligence
#anthology-super-intelligence
#real-asi

CROSSPOST: JOSH BUSBY & DUCK OF MINERVA: Israel's Dead End

Josh Busby argues that Israel’s election has failed to break Netanyahu’s hold, and that the only way out is for the opposition to govern alongside the Arab parties. But that is not what any majority of the Israeli electorate wants. Meanwhile, settler violence in the West Bank is wearing away any two-state future. And no majority of the Israeli electorate cares about stopping that either. We know where the Israeli electorate’s hard line comes from. It is insane, but it springs out of history for reasons, and all the true and real friends of Israel and the Arab World have no other work to do than to work full-time to change it:

And there is also, less important but still very real, the strategic damage that Netanyahu’s atrocious reign has done to the United States that has been too-loyal an ally. Biden chained himself to Netanyahu in the belief that a Netanyahu supported 100% by the United States could be moderated. That belief was wrong. Trump then tripled down on the chains. And it has cost us very dearly. Busby urges Israel's opposition to ally with the Arab parties rather than accept "slow motion national suicide." But most Israeli voters reject that logic. Friends of everyone in the middle east must still push them to change their minds:


CROSSPOST: JOSH BUSBY & DUCK OF MINERVA: Israel’s Dead End

The Duck of Minerva
Israel's Dead End
I was supposed to attend a conference for American academics to debrief on the recent Israeli elections. American Airlines did not cooperate and what was supposed to be a five or six hour trip to Milwaukee with a connection through Dallas looked like it was going to turn into a 17 or 18 hour day with additional stops in Dallas and Chicago along the way…
Read more

<https://duckofminerva.substack.com/p/israels-dead-end> <https://duckofminerva.substack.com>

Josh Busby & Duck of Minerva

2026-10-28

I was supposed to attend a conference for American academics to debrief on the recent Israeli elections. American Airlines did not cooperate and what was supposed to be a five or six hour trip to Milwaukee with a connection through Dallas looked like it was going to turn into a 17 or 18 hour day with additional stops in Dallas and Chicago along the way. Needless to say, I canceled the trip. The meeting is going on without me, and I’m back home having lost most of the day going to and from the airport.

Thanks for reading The Duck of Minerva! Subscribe for free to receive new posts and support my work.

That said, I have opinions which I summarized in a thread on Bluesky. I would have liked to share these thoughts with colleagues at the conference, whose organizers are very plugged in to Israeli society, having supported study tours for professors to the country for many years.

As I write, the full results from the Israeli elections are still being tallied, but the general results are pretty clear. Here is a summary of my thread, with some additional editorials.

It looks like the Israeli election may not prove to be a decisive moment in ending Netanyahu’s hold on the country. Unless the opposition parties are prepared to join with Arab parties, it’s hard to see a path forward based on the results to dislodge Netanyahu from power.

The US has now been dragged into two disastrous wars by Netanyahu. Netanyahu’s over-reaction in Gaza has delegitimized Israel internationally. The Iran war has been a catastrophic failure. The United States needs to do what is in its interests, not what is Netanyahu’s interests.

I think international relations would call this a classic instance of “chainganging“ which was one of the reasons World War I became as deadly as it was, as allies got dragged in to support unrestrained partners. Netanyahu is a cancer and dragged down Biden’s presidency and is doing the same to Trump’s.

In a visit to Israel in June, Rahm Emanuel provided some tough love to Israelis. He delivered the news:

The Prime Minister and his government have led Israel into a dead-end. For too long, American policy toward Israel operated under 2 the assumption that the best thing Washington could do for Jerusalem was to blindly and silently stand behind your government, without conditions, without demands, and without consequences when we disagreed. That has been our mistake.

If this is where he is, you can only imagine where the center of gravity is now among Democrats.

The choices Israel faces are similar to the ones I wrote about in August 2023, shortly before the attack of October 7. I wrote at the time that Israel was putting itself in an untenable situation with creeping annexation and settlements in the West Bank.

Whether you call that apartheid or imperialism matters less than the fact that a one-state solution where Israel occupies that territory and annexes but does not provide citizenship and voting rights to Palestinians would be unjust and undemocratic.

I concluded my piece with a warning:

I don’t know if that’s realistic, but it seems like there is quite high tolerance in Israel for the status quo with the Palestinians. Abbas’ age will inevitably set in motion a succession sooner rather than later. The Palestinians are getting restless and there are attacks and low-level clashes all the time. Something will likely give way, and we shall see if Israel figures out what it wants to be going forward.

Since then, Netanyahu responded to the horrific attack of October 7 with a war in Gaza that killed tens of thousands of civilians. Whatever you want to call it, it went well beyond self-defense and was a form of sustained collective punishment for Palestinians in Gaza. The United States under President Biden and Trump provided permission and military support for those atrocities to occur before the Trump administration finally helped bring it to a close.

The Netanyahu government immediately set about initiating a wider regional war with Iran and Hezbollah in Lebanon, roping in the United States again. As my colleagues and I recently documented through surveys of the public and U.S. foreign policy leaders, the war in Iran is wildly unpopular among Americans.

Meanwhile, the Netanyahu government, bolstered by extremist political parties in his coalition, is allowing settlers to continue to erode Palestinian territory in the West Bank, putting a two state solution further out of reach and making a peaceful settlement of the conflict less likely. If you followed news of late of Palestinians’ efforts to harvest olives alongside international supporters, you will have read accounts of foreign journalists and politicians being beaten up by violent extremist Israeli settlers, often with the complicity of the Israeli military.

The ongoing mistreatment of Palestinians in the West Bank underscores how out of control the Netanyahu government and radical extremist settlers are. When Mike Huckabee, the US Ambassador to Israel and a long time evangelical champion of Israel, calls those settlers who engage in violence terrorists, you know the situation is even worse on the ground.

I am a friend of Israel and count Holocaust survivors in my family on my mother’s side, but it pains me to see what has transpired in Israel. This is not a perspective fully shared by my extended family, many of whom are instinctively protective of Israel’s right to self-defense. I get that, but...

It is not America’s interests to be lashed to Netanyahu cheek to jowl. He has brought ruin to Israel, and I fear we may yet see a wider regional war recommencing in the coming days as both Trump and Netanyahu seek to do something to change the dynamic vis a vis Iran.

There is no military way out with Iran. There has to be a negotiated settlement of sorts, most likely on terms favorable to Iran as they can likely survive as they have since the war’s start. The US has already spent nearly $50 billion on this war. That doesn’t include indirect costs on US economy. Americans have already spent more than $120 billion in higher fuel costs because of the war. The costs on other countries have also been enormous, with countries adopting shorter school and work weeks, with emergent shortages in fertilizers and other problems.

While Israeli opposition previously said that they would not try to form a government with Arab Israeli parties, I hope that get over themselves and make common cause with the Arab parties to form a government. Anything other than that at this point seems like slow motion national suicide. It also likely means the continuation of a wider regional war, with the United States alongside.

If and when politics change in the United States, the American people’s patience and support for Israel are in danger so I hope Israeli opposition leaders, for all our sakes, make some thoughtful and difficult choices in the days ahead.

<https://duckofminerva.substack.com/p/israels-dead-end> <https://duckofminerva.substack.com>

The Duck of Minerva
Israel's Dead End
I was supposed to attend a conference for American academics to debrief on the recent Israeli elections. American Airlines did not cooperate and what was supposed to be a five or six hour trip to Milwaukee with a connection through Dallas looked like it was going to turn into a 17 or 18 hour day with additional stops in Dallas and Chicago along the way…
Read more

Brad DeLong here: As I count it, 60% of the voting Israeli population has some descent from people who saw the overwhelming bulk of their extended families exterminated between 1938 and 1945 because Jews had no place to run.

Give a gift subscription

As I count it, 80% of the voting Israeli population has some descent from people who, when the ethnic cleansing of the Jews from the Arab lands began after 1947, did have a place to run. All these say: Yes, the Palestinian Arabs have gotten a raw deal. But they have gotten a much less one raw than our ancestors and their cousins got. And raw deals are the stuff of history. You pack up, and move on. What reparations are owed Palestinians are properly owed by and they should apply to those who today own homes in the Jewish Quarters of Damascus, Baghdad, Tehran, and Algiers, should they wish to provide them.

Moreover, a supermajority of the Israeli electorate says: Hamas would like to see every Jew dead. Only the fact that they are weak keeps them from putting this into effect tomorrow. Israel thus has a natural right of self-defense to destroy Hamas. And everyone else in the world has a natural-law duty to assist, or at least stay out of the way, and certainly not to allow Hamas to use them as human shields.

Now I believe this supermajority position is insane. I think it leads, in all probability, nowhere but to the nuclear destruction of Tel Aviv in half a century. Every friend of Israel needs to be working full-time to move the Israeli electorate off of this position. And every friend of the Arab World—for the nuclear destruction of Tel Aviv entails the nuclear destruction of Damascus, Baghdad, and Tehran, at least, as well—needs to be working full-time to move the Arab World off of positions that feed this insanity on the part of the Israeli electorate.

If you, claiming to be a friend to Israel, are not working full-time to move the Israeli electorate to sanity, you are no friend of Israel. And if you, claiming to be a friend to the Arab World, are not working full-time to move the Arab World to help rather than hinder this task, you are no friend to the Arab World.

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##crosspost-josh-busby-duck-of-minerva-israels-dead-end
##neofascism
##war-and-rumors-of-war
##crosspost
#josh-busby-duck-of-minerva-israels-dead-end
#josh-busby
#duck-of-minerva
#israels-dead-end
#binyamin-netanyahu
#israeli-elections
#gaza-war
#iran-war
#west-bank
#settler-violence
#two-state-solution
#foreign-policy

My Guesses with Respect to the True State of Anthropic: WEDNESDAY WEALTH

Anthropic as an organization is a bunch of millenarian fanatics chasing the dream of building Digital God. Anthropic as a potentially megaprofit-earning company is quite another beast. Its executives and engineers have to pretend to be the second in order to get the money to do the first. This is, I must say, one of the most brain-bending, bizarre chapters in the history of capitalism yet written:

What is really going on with Anthropic considered as a potentially profit-making business?

Share

Here’s a table of my guesses:

Give a gift subscription

Before I could use this table to, say, start to offer investment advice, I would have to know things about you I do not. I would have to know your risk tolerance. I would have to know your time horizon. Since I don’t know that about you, plus I am not licensed to do so, I cannot advise.

It would be profoundly stupid for me to try.

Consult your risk tolerance and time horizon, and then start thinking for yourself.

There is one important thing to note about the last row—the third quarter of 2026 row—of this table: Of the $10 billion in Q3 2026 cost-of-compute:

  • perhaps 40%, $4 billion, are made up of payments to xAI for renting datacenters,

  • at a premium of perhaps 100% over xAI’s marginal cost,

  • an expensive temporary bridge fix given how much demand for Anthropic’s Claude Code has run ahead of expectations and plans,

  • do not take the bottom right number as indicating that the cost of compute per token has stopped falling.

Share DeLong's Grasping Reality Weblog

Taking the premium that xAI collected in profit out, the bottom-right number would have been $560 per million tokens. And after the winter of 2027, Anthropic (or xAI) can cancel these deals with 90 days’ notice.

How fast can Anthropic continue to cut its cost per token served? and would Anthropic ever achieve substantial savings on compute costs by abandoning the quest to build a digital god and focus its R&D on advances that provide value to end users willing to pay? And how fast will competition from dark silicon, open weight, hyperscaler platform-monopolist loss-leader, and cheaper overseas models erode Anthropic’s current substantial pricing power and margins?

Leave a comment


That said, I think it is also important to note two observers. This:

Evan Armstrong: Is Anthropic Worth $2 Trillion? <https://every.to/napkin-math/is-anthropic-worth-2-trillion>: ‘Anthropic is mostly in the Claude Code business….. The top 5 percent of users, who do, spend about $1,500 a month. This is the single most important fact about Anthropic’s growth: The models happened to be the best at coding, the company built the application layer on top of them itself, and via the business strategy magic of vertical integration it captured the value instead of handing it to Cursor and Copilot….

This is a usage business sold to a few thousand companies…. 76 percent of 2025 revenue came from about 1,500 organizations, and the other 24 percent came from roughly 40 million customers…. [And] the real customer count is closer to 250 than 11,900….

When you underwrite this company, you are underwriting roughly 250 relationships and the rate at which the next 1,650 climb into that group…. The whales… [are] Cursor and GitHub Copilot… that sit between Anthropic and the end user, which have every incentive to route tokens to whichever model is cheapest this quarter, and whose owners (SpaceX and Microsoft, respectively) run their own model programs….

The most efficient scaling in the history of the industry, 900 percent net retention, 85 percent serving margins, $131 billion in the bank, and $800 billion of fixed obligations that the company can only meet if the next six models are as good as the last six. At $2 trillion, is that a buy? It depends… on whether you would trust Claude to cure cancer….To keep the growth curve, Anthropic has to keep launching into design, finance, and agents (which it just did with Duet), and it has to win each of those markets against competitors that are cheaper and, in some cases, better…

Refer a friend

And this:

Ben Thompson: Anthropic S-1, The Cost of Compute, Who Is Paying? <https://stratechery.com/2026/anthropic-s-1-the-cost-of-compute-who-is-paying/>: ‘Numbers, finally—albeit somewhat incomplete ones…. Most interesting are Cost of Revenue & Research and Development, because that is where the company’s compute costs lie (along with Sales and Marketing, which is where the cost of free access is housed)….

Anthropic’s compute costs are dominated by R&D. Moreover, the cost of R&D compute is increasing faster than the cost of inference, at least over the last year…. The company is the biggest consumer of its own compute and its own AI, all in the service of building an even better AI. Folks complain about circular financing in the AI trade; the reality is that the companies at the core of that trade are the ultimate ouroboros, where their long-term financial upside is dependent on not eating themselves completely!…

Get 75% off a group subscription

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##my-guesses-with-respect-to-the-true-state-of-anthropic-wednesday-wealth
##attention-info-bio-tech-mode-of-production
##mamlms
##wednesday-wealth
#my-guesses-with-respect-to-the-true-state-of-anthropic
#anthropic
#anthropic-s-1
#claude-code
#cost-of-compute
#token-economics
#ai-valuation
#digital-god
#ai-ouroboros

500,000 “Lines of Code” to Try to Track the Economy: TUESDAY TRENDS & TURMOIL

“Here is the number” and “here is the proper context for the number” are things that are doable at a human-scale level of reliability by MAMLMs vibe-coding python scripts and then stitching them together with the appropriate boilerplate words. That is going to change the economics profession profoundly:

The task of the economist will then be to figure out what out of the nearly infinite pile of words they have immediate access to is worth reading and thinking about, and how to tag the conclusions from one’s own reasoning so that they then get noticed by the people who could benefit from them.

It is going to be a wild ride.

Leave a comment

One marker of the way things are going: Two days ago there was an email from Jason Furman:

Jason Furman: Announcing Econvitals ‘I launched Econvitals, a new macroeconomics system with a website… email[s]… a Fedspeak tracker and a fiscal simulator; and automated posts on X, Bluesky, Threads and Instagram…. 500,000 lines of code… which I vibe coded… originally built… to inform myself… written by AI models without my direct edits, though I design and oversee the approach they take…. Occasional posts… will come from briefings@econvitals.org…

Share

Indeed: <https://econvitals.org/> and <https://jasonfurmanecon.substack.com/>:

Econvitals Underlying Unit Labor Costs….

How it is made
This measure is intended to reflect the underlying growth rate of unit labor costs: (1) it is based on multiple measures of wage growth, (2) it is based on trend productivity growth for the cycle not the much more volatile actual productivity growth over the last quarter or year and (3) it is expressed in units that match PCE price inflation…. five published wage gauges… on a PCE-equivalent footing, then averaged with weights that favor the steadier gauges….
Caveats
A house composite, not a BLS series….
Sources
BLS (Employment Cost Index, average hourly earnings, compensation per hour, weekly earnings, productivity); Federal Reserve Bank of Atlanta (Wage Growth Tracker); BEA (PCE price index).
Entry revised 2026-10-22
<https://econvitals.org/methods/#wage-tracker>

Give a gift subscription

What is this thing?:

anthropic/claude: What Would It Have Taken to Build Econvitals Before AI? <https://econvitals.org/about/before-ai/>: ‘The code… [is] a data layer that pulls about 110 sources… a library of about 790 charts, with a system that redraws them… [LLMs writing] daily, weekly and monthly [email] briefings; the site itself, including the Lab and the tools; Fedspeak, which tracks and scores what Fed officials say; and the GDP and PCE estimates and fiscal projections. About a fifth of the code was automated tests….

[A human software] developer produces only about 10 to 50 finished lines [of code] a day. At 25 a day, 484,000 lines is about 84 person-years [of work]… with a plausible range of 50 to 150…

Refer a friend

How useful is this likely to be? Is this likely to absorb my attention in a good way by containing data transformations and averages that I would spend time calculating myself from FRED <http://fred.stlouisfed.org/>?

Jason has limited ambitions for EconVitals. He does not think it will replace him, at least not yet:

Jason Furman: The Fed Is Off Its Own Reaction Function. It Should Tell Us Why <https://econvitals.org/posts/2026-10-26-fed-reaction-function/>: ‘Welcome to the first occasional post from me, Jason, a human. Almost everything on Econvitals is an automated briefing, but these posts will all be written by me, as are the chart(s) of the day and the opening paragraph of the Morning Note. I’m not sure how often I’ll write these posts (thus the nonspecific “occasional”). My plan is to make them always data oriented but divided between the descriptive and the explanatory with a touch of opinion…. These posts are all copyedited and fact-checked by AI, and all the data analysis is done interactively with AI. Oh, and I suck at titles, so the AI may do those as well…

Get 75% off a group subscription

And how much work will it be for Jason and company to keep this thing from drifting into irrelevance or error? Jason may say that hallucination is a solved problem as long as you gate numerical claims through deterministic scripts and as long as you have three different agents watching one another. But he is, I think, wrong. These things do drift without careful attention.

Thus there are lots of open questions here.

But this should be fun.

What Jason is doing here is very praiseworthy. And it is a marker of the transformations in how we are going to access information that are coming for us with the arrival of the attention info-bio tech mode of production.

From my point, the most interesting thing here is that Jason really does believe that the whole system will be a net time and accuracy saver as he produces things like this:

Jason Furman: The Fed Is Off Its Own Reaction Function. It Should Tell Us Why <https://econvitals.org/posts/2026-10-26-fed-reaction-function/>: ‘The Federal Reserve’s Federal Open Market Committee (FOMC)… Summary of Economic Projections (SEP))… have… been a very good guide… [When] it ends up raising rates by less than the dots said it would… in most of those cases that was… [a] response to inflation coming in lower… or unemployment higher….

[But in] the last few years… the Fed has deviated…. Is the Fed badly off course, or is there something different, and more obviously transitory, about this inflation? I actually think the Fed has a good answer to why it is so far off its reaction function—but it should be more explicit about giving us that answer….

[Last] December the Fed expected core PCE inflation of 2.5 percent in 2026, and its September projection is 3.4 percent. Under a Taylor rule reaction function that revision alone would justify a 1.35 percentage point hike in the federal funds rate…. That is way more than [we see].… That shortfall of 1.15 percentage points is unusually large….

[Perhaps] the Fed is wiser than the formula. It understands, for example, that some of the inflation is the transitory result of tariffs and the Iran conflict…. I confess, I began this exercise thinking the Fed was way off base—but after quantifying it I end up more sympathetic to its approach…. I like a Taylor-style reaction function even better where the Fed articulates a path and explains that it will deviate from it based on how inflation and unemployment deviate from its forecast…. The people on the FOMC—and the staff who support them—know a lot more than the formula knows, and they should use that information in setting policy. But they should also clearly convey it…

Share DeLong's Grasping Reality Weblog

And things like this <https://econvitals.org/tools/fedspeak/>:

which is potentially quite useful, but would have been much more work than it has value before the days of the LLM.


Ok. What do I have to say about all this? I have two things:

First: Measure inflation with the Dallas Fed’s trimmed-mean or the Cleveland Fed’s median PCE, and Jason says that the Fed “sits almost exactly on its reaction function.” Between July 2025 and July 2026, core PCE inflation rose from 2.8 to 3.0 percent. Over the same twelve months the trimmed mean fell from 2.8 to 2.3 percent, and the median fell from 3.5 to 2.7. So the headline question, “Is the Fed off course?”, can be rephrased as: “Are outlier price changes information or noise?” Suppose the big moves in a handful of categories are noise. Then the FOMC is doing what it has done since 2012, and doing it well. Suppose instead they are information, the leading edge of a broader repricing. Then the Fed is about 1.15 percentage points too loose, which puts it among the most dovish readings in its own record.

That is a discussion worth having in public.

I think honest participants should then come out of it uncomfortable rather than confident. Over 2012-2026 the record does not clearly prefer one way of measuring underlying inflation. The choice is a judgment call, and it is the judgment the FOMC is implicitly making right now.

The second thing I would highlight is Table A3. Fit the Fed’s moves to revisions in its own forecasts, and the weights come out at 1.57 on inflation and 0.99 on current unemployment. That is almost exactly John Taylor’s original 1.5 and 1. Fit the same moves to realized data instead, and the weight on trailing core inflation is negative: -0.85 over 2012-2026 and -0.23 since 1990. The FOMC has been reacting to its own forecast of inflation, not to the inflation of the past twelve months.

I approve of Jason’s wish that the Fed explain its deviations from its own reaction function, and Waller’s October speech made a good start. Waller lays out three options:

  • The Fed can say nothing, which risks markets pricing in anywhere from zero to five hikes.

  • The Fed can give strong forward guidance, which locks in a path the data may not justify.

  • The Fed can take the “signaling option” in between: signal roughly how far rates are likely to go over some interval, and leave the pace dependent on the data. He sees the SEP playing that role. In September, sixteen of eighteen participants penciled in at least one more hike this year.

But Waller’s signal tells us where the Fed is heading. Jason is asking why. The natural next step would have two parts. First, publish the rule-implied rate at every meeting, not just twice a year in the Monetary Policy Report. Second, state how much of the inflation surprise the committee is discounting, and on what grounds. I approve of Jason’s draft language for the FOMC:

We are discounting about half a percentage point of inflation as due to transitory factors that we expect to unwind or reverse over the coming year. If we are wrong in that expectation we will make up for it with further rate hikes…

That final sentence is the crucial one. It turns a judgment into a commitment to trigger rate increases if the data disagree with the current expectation.


Second: Economic analysis has three steps. The first is “here is the number.” The second is “here is the proper context for the number.” The third is “here is why this number, rather than the hundred others, is the one that matters today”. anthropic/claude and EconVitals do the firsr two. But MAMLMs are not good at the third step. Knowing which number matters today depends on what people are arguing about, on what the FOMC is worried about, and on what has quietly changed since last quarter.

So where does this leave the economist? The economist’s future job is less producing analysis than curating it. When a competent macro briefing costs almost nothing to produce, the scarce resources become attention and trust. That means the economist’s job is deciding what in the nearly infinite pile is worth reading. It also means tagging your own conclusions so they reach the people who can use them. Econvitals is valuable not because it has 500,000 lines of code. Lots of people will soon have 500,000 lines of code. It is valuable because Jason Furman’s name is on it, and his reputation is on the line every time the Morning Note goes out.

This is the attention info-bio tech mode of production arriving, and Jason has just given us an early view of it. What he is doing is very praiseworthy. It will be fascinating to see whether, a year from now, the system is still measuring what it says it measures. I hope it is. I expect keeping it that way will take more of his time than he thinks.

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##500000-lines-of-code-to-try-to-track-the-economy-tuesday-trends-turmoil
##attention-info-bio-tech-mode-of-production
##macro-outlook
##mamlms
##tuesday-trends-turmoil
#500000-lines-of-code-to-try-to-track-the-economy
#econvitals
#jason-furman
#vibe-coding
#federal-reserve
#fed-reaction-function
#taylor-rule
#monetary-policy
#core-pce-inflation
#trimmed-mean-pce
#transitory-inflation
#fomc-communication
#economic-data
#model-drift
#economics-profession

The Ancient Courts & The Infinite Scroll: MONDAY MAMLMS

The introduction to my latest, unfinished, attempt to think through what ChatBots will mean for human intellect; largely behind the paywall because, as I said, profoundly unfinished:

Two Rooms

In the evenings five-hundred years ago a man named Niccolò Machiavelli would walk into a small study—a writing room.

Share

He had just had a very bad year and a half: fired from his longtime senior civil service job, imprisoned, tortured, then released broke and broken, and told to consider himself under house arrest in the countryside where he would be, politically, out of contact and of no account. As he described his routine in a letter to his friend Francesco Vettori:

Niccolò Machiavelli (1513): When evening comes, I return home and go into my study; and at the door I take off my muddy, sweaty workday clothes, and put on robes regal and courtly, and in this graver dress I enter the ancient courts of ancient men. I am welcomed by them, and there I taste the food that alone is mine, and for which I was born. And there I make bold to speak to them and ask them the reasons for their actions; and they, in their humanity, answer me. And for the space of four hours I forget the world, remember no vexation, fear poverty no more, tremble no more at death: I pass entirely into their world…

Give a gift subscription

In the evenings these days, almost anywhere, almost any evening this year, young occupant of perhaps fifteen sits or lies in their room. The phone is on. On its screen, in succession, an endless succession of faces speak directly to whoever is holding it. They confide. They joke. They are outraged. They are intimate. Each occupies the screen for fifteen or forty seconds, and then gives way to the next. This occupant, too, has in a sense entered not the ancient courts of ancient men but the modern courts of influencers making short-form video. This occupant, too, is being received with what looks like affection (but is, mostly, a greedy hope that their eyeballs can be rented out to advertisers). This occupant, too, may well spend four hours of an evening in the process.

What is the difference?

It is not that one is “social” and the other “parasocial”. Both are parasocial, profoundly overwhelmingly so. None of the people who matter most to Niccolò Machiavelli that evening are in the writing room in his rural Tuscan Percussina farmhouse, a farmhouse that is so far from luxury that he calls it “the dump”. They are more than a millennium and more dead, with names like Titus Livius Patavinus, Publius Cornelius Tacitus, and Polybios Lykorta Megalopolítes. Similarly none of the people who the fifteen-year-old sees on short-form video are there or are even aware of his existence, even though they are alive. There is a difference in that in one room there are speaking and gesturing faces and bodies on a screen; and in the other room there are simply black marks on a page.

Out of his four-hour nightly séances with the honored dead in the ancient courts of ancient men, Machiavelli thinks deeply and profoundly and writes what he calls the “little work, De principatibus” that we call The Prince. Out of their four-hour nightly video scrolling fests, the fifteen-year-old does—what?

The key difference, I think, is this: in the first room, it is the man, Niccolò Machiavelli, who does all of the talking. either in his principal voice or in his mind’s eye as he uses his own wetware to breathe life into his interlocutor.

Read more

JD Vance: “You Don’t Turn the Titanic Around Overnight”: LAUGH OF THE DAY

Is JD Vance really thinking: “Here I am, powerless second-in-command on the Titanic, with the captain a senile moron ruled by his hatreds and his impulses”? Probably:

This is funny.

Share

This is also very dangerous. Because Vance does not appear to be aiming for a political constellation in which he honestly wins enough electoral votes, does he? So then what is he aiming for?

We have:

Give a gift subscription

Yes, he said it.

Dave Weigel weighs in:

David Weigel: <twitter.com/daveweige…>: ‘Everyone taking their whacks at the “Titanic” line, but the reason this doesn’t seem to be working is the premise: That every major problem voters are angry about was left behind by Biden. Voters who were told Trump would lower prices ASAP just don’t buy it. I’m a little surprised that “the old man who couldn’t do the job made things worse and we’re fixing them” is a hard sell but here we go…


Brad DeLong here: First, it is real. JD Vance:

JD Vance (January 22, 2026: Speech in Toledo, Ohio <https://www.snopes.com/fact-check/vance-us-economy-titanic/>: ‘And yes, there is an affordability crisis. One created by Joe Biden’s policies. You don’t turn the Titanic around overnight. It takes time to fix what was broken…

So six further points:

  1. The Titanic needed to not hit the iceberg: to not be steered at full speed into hazards that the captian and the crew had been fully warned about. That describes Trump’s tariffs. That describes Trump’s wars. That describes Trump’s restoking of inflation. It describes what Trump has done much better than it describes what Biden left behind.

  2. Vance planned for non-affordability, and he told us in advance that we would face “higher consumer prices in the short term” but that it was worthwhile as it would be part of “protecting American industries”.

  3. Biden left an economy in ship-shape, for in January 2025 inflation was very close to target, certainly not rising, had truly had been transitory until Trump’s friend Vlad the dictator of Muscovy ‘Rus had invaded Ukraine, and was under control. Biden’s soft landing had already been made. Unemployment was near historic lows. The U.S. was leading the G-7 in recovery.

  4. “Overnight” is a dodge. inasmuch as Trump and vance had promised voters that they would see lower prices “starting on day one”.

  5. Very real long-run damage comes from policy chaos in the form of random destructive tariffs, attacks on Fed independence, and an immigration crackdown that shrinks the labor force; all those are choices that they genuinely will take years to undo and neutralize

  6. The Titanic sank in under three hours, so what the passengers owed the steering bridge of the Titanic less patience, not more.

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##jd-vance-you-dont-turn-the-titanic-around-overnight-laugh-of-the-day
##neofascism
##laugh-of-the-day
#neoneofascism
#jd-vance-you-dont-turn-the-titanic-around-overnight
#jd-vance
#you-dont-turn-the-titanic-around-overnight
#titanic
#affordability-crisis
#tariffs
#freudian-slip
#trump-economy
#mercantilism
#dave-weigel
#every-accusation-a-confession

Smartest Thing I Have Seen This Week: Thompson of StraTECHery & Moffett of MoffettNathanson on SpaceX & Bubbles: PODCAST OF THE DAY

Craig Moffett on Musk’s possible positive-feedback flywheels, the physics of Starlink’s possible networks, SpaceX “optionality”, what 1999 has to teach us about the AI capital expenditure boom, and how you have to ignore the revenue sloshing between the layers of the bubble value chain and look only at what it produces that people outside are willing to actually pay for:

This is the best thing I have seen this week, and the best thing on SpaceX I have seen this year.

Share

Ben Thompson and Craig Moffett talk.

Some highlights:

On SpaceX:

Ben Thomson & Craig Moffett: SpaceX & Bubbles <https://stratechery.com/2026/an-interview-with-craig-moffett-about-spacex-and-bubbles>: ‘Craig Moffett: ‘On the one hand, [Musk] says… absurd things…. But… they have achieved some extraordinary things…. Grok and the neocloud business… the AI business terrestrially… the biggest part of what SpaceX is….

The space segment is essentially a monopoly and… they’re also gaining knowledge at something like 10x the rate of anybody else, so… they’re pulling away…. The most valuable part of… Musk…. [is] you move so fast that you accumulate knowledge at a rate… completely different than anybody else…. This flywheel of generating volume, generating learning, driving down the cost curve way faster than anybody else…. Think about the difference in pacing. Between the time that [Blue Origin’s] rocket blew up and the time that they’re ready to launch the next one, SpaceX will have launched 14 times…

Give a gift subscription

And:

This flywheel of generating volume, generating learning, driving down the cost curve way faster than anybody else…. That’s an extraordinary strategic position for them to have and it creates all kinds of optionality. You can identify all the businesses that they’re currently in…. You can also identify the businesses they say they will be in…. [But] it would have been intellectually wrong to say, “I’m just going to value this company solely on the things that I can see today”, because it really does have optionality…. The question is how large that optionality is…. [Our] neutral rating… [came because] we were a bit below consensus on almost all of the businesses in the here and now…. [In valuation] you’re not just predicting when it will arrive… [but] when do people think it will arrive…. Warren Buffett… brilliantly said… derisively, that most of investing is trying to guess what a bunch of other people will guess consensus will be in six months…

Share DeLong’s Grasping Reality Weblog

And:

I don’t know that [low-earth orbit] will stay a [SpaceX] monopoly…. The market is underestimating the level of regulatory and geopolitical risk…. Domestic political risk too, [as] he’s so closely identified with the Republicans…. The rest of the world feels like it is impossible to leave any Western company… controlled by Elon Musk in charge of critical technology…. China will absolutely have its own [satellite] constellation…. India, because Elon Musk has sort of declared war on the Ambanis…. The risk that there is [also] a European constellation… is much higher by virtue of the fact that the current U.S. administration has alienated so much of Europe….

The original concept for SpaceX was that SpaceX would have all these rockets going into space anyway for the U.S. government and the military…. [Thus] you could build a constellation like Starlink… sticking the satellites in the excess capacity of the payloads and so the marginal cost of putting the satellites into space would be zero. That’s a really gorgeous concept, except it never actually happened…. Every satellite in space today for Starlink was launched in a purpose-built launch….

We did our first analysis of Starlink broadband five years ago…. The real constraint is the number of customers you can simultaneously serve within a specific spot beam from one satellite…. There’s a limit to how tight you can make a spot beam when you’re sending it from 220 miles away. You’ve still got physics to work with…. If you lower the orbital, you have a tighter spot beam that increases your capacity. But the lower the orbit, the more drag from the ionosphere, and the faster the satellite will be pulled back down…. These satellites go up and five years from now, they’ve burned up in space and you need to replace them…. You’re going to have three or four launches of Starship every week just to maintain Starlink, much less all the other purposes…

Leave a comment

And on bubbles:

The lesson I learned from 1999 is that you need to ignore all of the revenue being generated between layers of the value chain, it doesn’t matter…. I don’t really care what Nvidia is getting paid by some other company for its GPUs…. All I care about are the revenues coming into the system…. It can be enterprise, it can be government, and it doesn’t have to be today, it can be… projected…. Ignore all the revenues going on between layers of the value chain…. That’s just noise…. [What] really matters is [“is there] enough money coming into the system to support the system?[”]… it’s not that these aren’t amazing products…. It’s not that they aren’t going to be transformational…. It’s, “Is there going to be the price realization that allows them to be profitable enough that it supports the rest of the value chain?”… Right now… the market is saying, “We don’t know”….

My suspicion is that these are [many] businesses where… a cheaper model that’s two or three generations old [is fine]…. DeepSeek at the cost-per-token… that’s one-eighth or one-twelfth of frontier models…. What you can do with a thin client… able to run locally… [with] thinner and thinner and thinner models that are sufficiently good that they do most of what needs to get done for most use cases…. That puts a hell of a lot of burden on the capital investment of the really big stuff, for a relatively small part of the revenue opportunity. That’s the risk [here]…. We’re going in with our blindfold on and just wishing for the best…

Refer a friend


Brad DeLong here: Think of it. As Craig Moffett says, between the time Blue Origin’s rocket blew up and its next launch, SpaceX will have launched its rocket fourteen times. Craig Moffett thinks that gap in learning speed is SpaceX’s real asset, which the market is by and large correctly pricing. But he also thinks the market is massively underpricing the political risk that comes with Elon Musk’s bizarre hatreds and lies.

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##smartest-thing-i-have-seen-this-week-thompson-of-stratechery-moffett-of-moffettnathanson-on-spacex-bubbles-podcast-of-the-day
##attention-info-bio-tech-economy
##podcast-of-the-day
#smartest-thing-i-have-seen-this-week-thompson-of-stratechery-moffett-of-moffettnathanson-on-spacex-bubbles
#smartest-thing-i-have-seen-this-week
#thompson-of-stratechery-moffett-of-moffettnathanson-on-spacex-bubbles
#ben-thompson
#craig-moffett
#spacex
#starlink
#elon-musk
#ai-bubble
#stratechery
#learning-by-doing
#real-options-valuation
#satellite-constellations
#tech-valuation

CROSSPOST: JOSH BERNHOFF (2019): Why Books Work: A Rebuttal to Andy Matuschak

Andy Matuschak says: if you can't explain a book's ideas when someone questions you, you never really absorbed them. But readers keep in their minds’ forefronts a book's strongest principles, the few side ideas that matter for their own work, and some memorable details. Plus much of the rest sits quietly until a situation calls it up. But those books that do the best are those books that encourage—that in fact make it almost impossible to avoid—deep reading practices:

Bernhoff says, à propos of Andy Matuschak (2019) , “Why Books Donʼt Work “<https://andymatuschak.org/books/>, that a successful nonfiction book is a layered production, and that:

Share

  • Strong principles stick.

  • Supporting arguments matter less, because you don’t have to see the framing to know the building stands.

  • Readers keep the subsidiary ideas that are relevant to them.

  • Vivid bits, especially stories, are remembered.

Give a gift subscription

out of the sum total of the architecture of strong principles, supporting arguments, subsidiary ideas, and hundreds of “bits” of facts, statistics, diagrams, and stories. For:

It’s amazing what’s hiding in your head, waiting for the moment that it becomes relevant…

Share DeLong's Grasping Reality Weblog

But, he also says, writers have an obligation to write good books: Address the reader to break the frame and break up a lulling flow. Tell stories. Shouldn’t authors ask rhetorical questions. Vary the format. Present the same information in different modes: text paragraphs, heading and bullet-list summaries, and graphics. Introduce and sum up:

Josh Bernhoff:


CROSSPOST: JOSH BERNHOFF (2019): Why Books Work: A Rebuttal to Andy Matuschak

<https://bernoff.com/blog/why-books-work-a-rebuttal-to-andy-matuschak> <https://bernoff.com/blog>

ByJosh BernoffMay 24, 2019

Andy Matuschak wrote a thoughtful piece called “Why books don’t work.” I think he’s a bit off-target. But his arguments will get you thinking about how your book can work better.

If you’re an author with any capability for introspection, Matuschak’s essay ought to make you think. Here’s some of what he wrote:

And at least for non-fiction books, one implied assumption at the foundation: people absorb knowledge by reading sentences. This last idea so invisibly defines the medium that it’s hard not to take for granted, which is a shame because, as we’ll see, it’s quite mistaken.

Picture some serious non-fiction tomes. The Selfish Gene; Thinking, Fast and Slow; Guns, Germs, and Steel; etc. Have you ever had a book like this—one you’d read—come up in conversation, only to discover that you’d absorbed what amounts to a few sentences? I’ll be honest: it happens to me regularly. Often things go well at first. I’ll feel I can sketch the basic claims, paint the surface; but when someone asks a basic probing question, the edifice instantly collapses. Sometimes it’s a memory issue: I simply can’t recall the relevant details. But just as often, as I grasp about, I’ll realize I had never really understood the idea in question, though I’d certainly thought I understood when I read the book. Indeed, I’ll realize that I had barely noticed how little I’d absorbed until that very moment. . . .

All this suggests a peculiar conclusion: as a medium, books are surprisingly bad at conveying knowledge, and readers mostly don’t realize it. . . .

Like lectures, books have no carefully-considered cognitive model at their foundation, but the medium does have an implicit model. And like lectures, that model is transmissionism. Sequences of words in sequences of lines in sequences of pages, the form of a book suggests people absorb knowledge by reading sentences. In caricature: “The author describes an idea in words on the page; the reader reads the words; then the reader understands the idea. When the reader reaches the last page, they’ve finished the book.” Of course, most authors don’t believe that people learn things this way, but because the medium makes the assumption invisible, it’s hard to question. . . .

I take this critique seriously. Matuschak posits that what is essentially a written lecture — a bunch of sentences strung together — makes it difficult for the a readers to acquire and then internalize what they are supposed to be learning. And when a book is no more than a bunch of declarative sentences, he may be right.

Why books are better than Matuschak thinks

Let’s go back to Matuschak’s test of whether a book hits home: when asked, can you recall and spit back the thesis and elements of a book?

Even if you can’t, that doesn’t mean those ideas aren’t in there. The inability to articulate them aloud is not the same as not having retained much.

Think about what non-fiction books are made out of.

They include overarching principles. Matuschak and I agree, if those are any good, people retain them.

There are the arguments that support those principles. Sometimes people retain those arguments, sometimes they don’t. But you don’t have to see the framing to understand how the building stays up. I’d argue that retaining the arguments is less important.

There are subsidiary ideas. A good book has lots of those. And a reader is going to recall those subsidiary ideas only to the extent that they are relevant for her. If there are 15 subsidiary ideas and three are relevant for you, those three may be sufficient. If a book is really useful, you may retain more.

There are also, in any given book, hundreds of bits of knowledge. There are facts, statistics, diagrams, and, crucially, stories. There are long case-study stories and short “for example” stories. When the author chooses these bits and delivers them well, the reader retains them.

For example, readers of Writing Without Bullshit may quote back to me that 81% of business readers say that poorly written material wastes a lot of their time. Or they may remind me of the story about the 1,100-word email that Microsoft’s Stephen Elop wrote, the one that buried the lede — 12,500 job cuts — 80% of the way through.

The last thing to remember is that even if you can’t spit something back, it may still be in there. People who read my book may be able to tell you to put the most important information up front, but they may not recall the specific technique — cut opening paragraphs until you find one that you can’t cut — until they actually need it. It’s amazing what’s hiding in your head, waiting for the moment that it becomes relevant.

Making your book better

I agree with Matuschak that when a book is a lecture, delivered from on high by the almighty expert to the poor ignorant plebes that are reading it, it probably won’t be retained well.

So don’t write this way.

Here are some simple tricks to make your book useful and make its ideas stick.

  • Write directly to the reader, using the words I and you. When people see prose directed at them, they sit up and take notice. You should talk to your boss about this, for example, or I’ll repeat this since it’s going to change the way you work forever. Writers trained on academic prose never think of this technique, because academics rarely write this way — they’re in almighty expert mode. But if you want people to retain what’s in your book, you have to adopt this tone.

  • Tell stories. People retain stories. The more relevant stories you have, the more they will retain.

  • Ask rhetorical questions. This makes the reader think and wonder if they’re getting it. It wakes them up from the litany of declarative sentences.

  • Include graphics. Put the same information in text, in headings, and in graphics. Most people retain pictures better than words. Everyone retains information presented in several different forms better than information presented in only one form.

  • Vary presentation. Use quotes, links, heading, subheadings, bulleted lists, numbered lists, tables, and anything else that breaks up the march of sentence after sentence, paragraph after paragraph. This keeps the reader engaged and makes it easier to scan the book and understand its structure.

  • Introduce and sum up. As the saying goes, “Tell ’em what you’re gonna tell ’em, tell ’em, then tell ’em what you told ’em.” To reinforce ideas, prepare people for what they are about to read before they get there. When it comes to summing up, a great tip is to include a bulleted list of takeaways — things you can actually do differently based on what you read. That makes readers more likely retain it.

This is not a complete list, but you get the idea. Work a little harder on using all the capabilities of writing, not just a dictated lecture, and you’ll improve retention. Here’s how I’d restate Matuschak’s thesis: The problem is not that books don’t work, it’s that lazy, boring books don’t work.

If you follow my advice, you’ll get a bonus, too. When people retain the ideas in a book, they talk about it. When they talk about it, other people hear about it and read it — and the book becomes more influential and successful. That’s what you’re aiming for, isn’t it?

<https://bernoff.com/blog/why-books-work-a-rebuttal-to-andy-matuschak> <https://bernoff.com/blog>


Brad DeLong here: Bernhoff is a business-writing coach.

Leave a comment

Bernhoff believes that the medium of the book is fine, and that fault lies with lazy, lecture-style authors (and editors!). Plus he believes that readers keep far more than they can recite on command. Recite-on-command is not how we recall knowledge. Retention is selective and latent. Plus good writing technique raises retention substantially.

Now Bernhoff is, I think, answering a question different from the one Matuschak asked. Matuschak’s call is to build a new medium to fight the assumption of “transmissionism”, that people learn via absorbing knowledge by reading sentences linearly. Bernhoff replies by saying that rhetoric has an at least 3000 year-old history of techniques to fight “transmissionism” in its arsenal.

It is true. There are good things: talk to the reader, tell stories, ask rhetorical questions, add graphics, tell ‘em what you’re gonna tell ‘em, and tell ‘em what you told ‘em. These are all very good things! But even granting them all, Bernhoff misses Matuschak’s sharpest point. Matuschak’s complaint is not just that he forgets details. It is that when someone asks a basic probing question, he discovers he never really understood the idea in the first place, and never noticed. Vivid stories and rhetorical questions may well help a reader recall the memorable bits. Engagement, however, is not understanding, and a failure of comprehension is not a failure of memory.

Bernoff focuses on the author, not on the reader. Thus he misses the cognitive science of retrieval practice, spaced repetition, query-and-response, bringing in of additional information and the burden of self-monitoring, the “metacognition” that successful deep-reading requires. His principles for writing encourage these. But he does not look at what happens after the author finishes their work. It is Matuschak who offers advice to the reader here:

Readers can’t just read the words. They have to really think about them. Maybe take some notes. Discuss with others. Write an essay in response. Like a lecture, a book is a warmup for the thinking that happens later. Great: that’s a better model! Let’s look at how it plays out…. [The] people [who] do absorb knowledge from books… [have]inner monologues… like: “This idea reminds me of…,” “This point conflicts with…,” “I don’t really understand how…,” etc…. Unfortunately, these tactics don’t come easily…. These skills fall into a bucket which learning science calls “metacognition.” The experimental evidence suggests that it’s challenging to learn these types of skills, and that many adults lack them…. Worse, even if readers know how to do all these things, the process is quite taxing…

Refer a friend

Bernhoff’s essay would, I think, be more effective with an explicit bridge from what the author does, rhetorically, to what the reader needs to do, metacognitively.

Note, too, that Bernhoff’s model case is the practical business book, where the point is to remember three relevant tips and know where to look up the rest. Matuschak’s examples were The Selfish Gene, Thinking, Fast & Slow, and Guns, Germs, & Steel: dense explanatory works whose whole principal value lies in the reader genuinely understanding a causal argument.

There, perhaps, different rules apply. There, perhaps, Matuschak’s worries (and hopes for new technology-enable media) apply much more significantly.

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##crosspost-josh-bernhoff-2019-why-books-work-a-rebuttal-to-andy-matuschak
##public-reason
##crosspost
#josh-bernhoff-2019-why-books-work-a-rebuttal-to-andy-matuschak
#osh-bernhoff
#2019-why-books-work-a-rebuttal-to-andy-matuschak
#andy-matuschak
#why-books-work
#why-books-dont-work
#transmissionism
#metacognition
#deep-reading
#cognitive-science
#reading-comprehension
#rhetoric
#new-media

CROSSPOST: JONATHAN V. LAST: Neo-NeoFascism Watch: Welcome to JD Vance 6.0

Vance’s 2028 6.0 OS is new. In succession, he has been: memorist, never-Trumper, MAGA edgelord, the right-wing version of Elizabeth Warren,and loyal veep attack-dog. Now he is the amnesiac heir:

Jonathan V. Last highly annoyed by JD Vance.

Share

He has good reasons.

Briefly, Jonathan Last’s take: Vance wants to inherit the MAGA coalition without inheriting its record. So he defends the Iran war in public while whispering opposition to access journalists. He denies Trump’s corruption while conceding Washington is corrupt. He apologizes for “imperfect” rhetoric while still blaming immigrants. Pure arsonist-firefighter stuff. Will voters buy it? This is a deeply unserious party he is aiming to lead.

Give a gift subscription

We have Jonathan V. Last:

CROSSPOST: JONATHAN V. LAST: Neo-NeoFascism Watch: Welcome to JD Vance 6.0

<https://www.thebulwark.com/p/welcome-to-jd-vance-60-cbs-town-hall-vice-president-iran-corruption-immigration> <https://www.thebulwark.com/>

The Bulwark
Welcome to JD Vance 6.0
1. Frontier Models…
Read more
Everything is going great. And if it isn’t great, he has no idea how we got here.

Jonathan V. Last

October 19
Vice President JD Vance applauds as he takes the stage during a midterm campaign rally at the LevelUp Training Complex on October 15, 2026 in Monroe, Michigan. (Photo by Daniel Heuer-Pool/Getty Images)

1. Frontier Models

Back during the 2024 campaign I wrote about the 4.0 operating system upgrade that had been loaded onto the JD Vance platform.

Vance 1.0 was a memoirist and Hillbilly whisperer.

Vance 2.0 was a Never Trump pundit.

Vance 3.0 was a MAGA edgelord.

Vance 4.0 is something like a cross between 2010 Elizabeth Warren and 2016 Marco Rubio, with some light nativism sprinkled in.

Vance 4.0 was the Windows ME of the Vance platform. After November 2024 a new update shipped—the 5.0 VP Edition. But it was just a rebadged 3.0. As vice president, JD ran around slandering Americans killed by his police state, but in January we got an important patch—JD 5.1. The key upgrade on 5.1 was a backchannel feature that allowed the vice president to leak to reporters about how vehemently he disagreed with Donald Trump while publicly defending his boss. On Saturday, Vance Tech marked the soft launch of its 2028 presidential campaign with the unveiling of JD 6.0 at an event hosted by Bari Weiss’s CBS News. Let’s examine the new New JD not through the lens of politics or morality, but as a product—with an eye toward the question: Will it work?


2. Three Stars?

Overview: Vance 6.0 is a reintroduction of the product to a dissatisfied consumer base. The last two years have seen Donald Trump—the parent company of Vance Tech—lose customers at a rapid rate. Once the industry leader, Trump is now close to matching the record for the most unpopular president three weeks before a midterm election ever.1 Vance 6.0 comes to market with an audacious plan: He pretends that he has no idea how we got here, but is now ready to come up with solutions. Probably. Just none that he can share at this very moment.


Iran: The biggest problem Vance faces is the war against Iran that Donald Trump chose to initiate and has subsequently lost. Vance can spin reporters by publicly defending Trump and the war while privately reassuring access journalists that he is against the war. (Annoyingly, Vance Tech has yet to figure out how to communicate with voters on deep background.)

Vance 6.0 squares that circle with a couple of innovations. On Saturday Vance insisted that the war has been a total success. Sort of. Asked why America has not won the war decisively, Vance replied, “I would say in some ways we have won decisively.”2 He then went on to allow that maybe, perhaps, in other ways, the war is still on the journey to success: “The enemy gets a vote here,” Vance explained. “And they have responded in certain ways.”

“Certain ways” is an elegant euphemism for destroying the most important U.S. naval facility in the region, crippling key energy infrastructure, seizing control of the Strait of Hormuz, destabilizing regional alliances, and elevating China’s influence. The key here is how Vance reduces specific military outcomes and economic developments into pleasant abstractions. It’s really quite something.

The next feature is Vance’s ability to shift from saying that, in many ways, everything is going great, to declaiming that he has no idea how any of the bad stuff happened.

I see what Abdul El-Sayed says about the war in Iran. I see [him] criticizing decisions that the president has made, the military has made. But fundamentally, we are where we are. And you have to—in my view, I’d like to know: What is Abdul El-Sayed’s solution for the problem that we have right now?

We are where we are! How did we get there? It’s a mystery! And while JD Vance does not, himself, have any solutions for the problems (which probably don’t exist), he’s pretty sure that Democrats don’t, either. So really, when you think about it, they’re kind of the ones to blame?


Corruption: Asked if he was bothered by the obscene corruption within the Trump administration, Vance applied the same processes:

First of all, if someone’s selling access to the White House, that’s disgusting and despicable and they should suffer consequences… . I want to make those judgments based on the facts and not based on a random news media report that I read… . I’ve seen these media reports, and I have the same reaction I imagine a lot of people in this room have, which—it makes me uneasy when I read about my public officials potentially getting wealthy off of my public trust. And I’m telling you that while, yes, D.C. is a corrupt town … Donald Trump—I have not seen a single shred of evidence that he participates or sanctions in that corruption… . I have not once seen evidence that Donald Trump has enriched himself.

Let’s break that down step by step.

First, the thing people expect to hear. In this case it’s not “We’re winning” but “corruption is not allowed.” Check.

But then the actual evidence gets a little messy. He wants facts—not just media reports. Which include text messages from Kimberly Guilfoyle to the guy she was asking for bribes. Which the guy in question, Eric Deters, has confirmed repeatedly and publicly. As with the Iran war: Sure, there’s evidence blatantly proving I’m wrong, but I prefer to rely on some secret other set of evidence that, if it exists (it doesn’t), I can see but you can’t.

Then he allowed that yes, corruption is endemic in Washington, but he, himself, has not witnessed any. Maybe some public officials are “potentially” getting rich off the public trust because that’s just how D.C. works, but never ever ever the people who are the most flagrantly and unabashedly corrupt of all.


Immigration: When forced to reckon with the words of Vance 3.0—for example, when he openly lied about Haitian immigrants—the new model attempted contrition. Asked by a member of the audience, “Why are you scapegoating immigrants for the issues you’re supposed to be solving as a vice president?” Vance responded: “I would say, and to the extent that my rhetoric has been imperfect here, that’s on me.” And later:

I will tell you that nobody’s perfect, certainly not me. But my goal here is not to dehumanize any immigrant. And in fact, I love a number of immigrants. My goal here is to make it so we can have a country with some baseline of social cohesion and sense of community, because … when too many people come to the United States too quickly, it changes the country in very profound ways.

This is pure arsonist-firefighter stuff. Vance has spent the last six years demagoguing immigrants—openly lying about them. He has taken a box cutter to the fabric of American society in order to win votes. And now he says that he only does it to preserve “social cohesion.” Like Iran, like the corruption, Vance has no idea how America got to this place. And he doesn’t offer any solutions. But he wants voters to know that he’s truly, deeply concerned.

Will this work? I don’t know. But however distasteful you may find this new version of JD Vance, you shouldn’t discount the possibility that it might work. We are a deeply unserious country populated by deeply unserious people.


Notes:

1 Some polls have Trump as low as 33 percent approval. Harry Truman was at about 33 or 34 percent approval shortly before the 1946 midterms. So Trump still has time to make history.

2 You see, the only way to understand the outcome of a war is to break it into component parts and evaluate each individually. For instance, in World War II, Japan conquered big parts of China before being bombed into submission by the United States. So in some ways, Japan won a decisive victory against China, even if, in other ways, Japan suffered defeats. By the same token, America has totally, completely demolished the Iranian navy. Now this has fuck-all to do with the actual strategic outcome of the war. But in some ways it’s a decisive victory!

<https://www.thebulwark.com/p/welcome-to-jd-vance-60-cbs-town-hall-vice-president-iran-corruption-immigration> <http://thebulwark.com>

The Bulwark
Welcome to JD Vance 6.0
1. Frontier Models…
Read more


Brad DeLong here: The first such of which Vance might be aiming to become was Napoleon III, or perhaps Napoleon the Great.

Share DeLong’s Grasping Reality Weblog

The coup of the 18 Brumaire (November 9, 1799) was followed by a plebiscite in which Napoleon’s new constitution with himself as First Consul of the French Republic was “approved” by a reported 3,011,007 votes in favour versus 1,562. Popularity—or at least the manufactured appearance of popularity—beats constitutional procedure, and elections are not on obstacle as long as the vote-count can be controlled, or at least cast into sufficient doubt that the real balance becomes a matter of he said-she said “observers disagree”. The lesson, I think, is that Al Gore focused on using constitutional procedures to get the votes counted, and lost. Thus a superior path is to claim that you won, and then to cut as many corners as you need to get your butt into the White House.

I find myself thinking about Sergei Guriev and Daniel Treisman’s Spin Dictators: The Changing Face of Tyranny in the 21st Century (Princeton, 2022), based on their 2019 Journal of Economic Perspectives article “Informational Autocrats”:

Guriev Treisman 2019 Informational Autocrats
746KB ∙ PDF file
Download
Download

Guriev and Treisman’s thesis is simple to state and far-reaching: In a modern society, the cheapest way to keep power is to be, or seem to be, popular, and to use that popularity to neuter the elements of the constitutional infrastructure that might push you out. Spin dictators therefore:

  • Hold elections and usually win them, with rules tilted, opposition hobbled, and media coverage skewed, but stuffing ballots so crudely that the result loses all credibility only under absolute necessity.

  • Simulate democracy rather than denounce it by keeping parliaments, courts, parties, and NGOs, but capturing them and hollowing them out, all the while speaking the language of democracy, rule of law, and popular will.

  • Censor quietly, buying outlets through friendly oligarchs, squeezing them through advertising and regulation, and sueing them for defamation

  • Repress selectively and in disguise with violence rare and targeted, and dressed up as ordinary law enforcement: immigration violations, mortgage fraud, with critics are prosecuted, bankrupted, or pushed into exile.

  • Avoid grand ideology and favor flexible, catch-all appeals to resentment of outsiders and élites, to national pride, to stability, to competence, an d to prosperity,

The leader has to persuade enough of the broad public that he is on their side, is competent, and that the alternatives are worse. He has to buy and create—using plutocrat-kleptocrat money—an appearance of some support among the informed. he can then contain the informed tranche of the population that knows enough to understand. The job not of information control but rather of flooding the zone is to manufacture and protect that appearance of popularity, so that corner-cutting leads to political squabbles while his actions create facts on the ground that then become fixed points other actors must accommodate themselves to. And it might work, with enough banks, lawyers, PR agencies, lobbyists, consultants, and and others on his side to launder both money and reputations, and cast doubt. After all, actually winning one election—as Trump did in 2024—and gaining one set of congressional majorities freezes the opposition’s ability to oppose, as it does not feel it has the legitimacy to enforce strict constitutional procedure when you can always find a lawyer and often six Supreme Court justices to lie about or at least confuse and postpone resolution of questions of what constitutional procedure truly is.

In short: soft dictatorship, less like a prison and more like a con, with the central resource being a popular—or a popular enough among those who are legitimately full citizens—belief that things are going well.

In his first term, the analogues of Hermann Göring, Josef Goebbels, and Reinhard Heydrich did not show up for Donald Trump. Now, in Trump’s second term, JD Vance is auditioning for the slot(s)… Fantasy, Nazi mobilization, online memes, bomb threats, then bureaucratized ethnic cleansing—this is what Vance is about to try to test in Springfield, Ohio. America’s soul really is at stake here…

Why is JD Vance trying to make war on prosperity? Because the Vance-Trump policy agenda he has been one of the principal architects of is, as it was clear from the get-go, a miserable failure in terms of making a middle-class American lifestyle more affordable. It is about distracting people from the fact that nativism and protectionism make America smaller, poorer, meaner, and globally disrespected…

  • Same post:

The neo-fascist version of post-liberalism argues that “the belly may be full, but the spirit will be empty.” But their actual proposal is not to fill the spirit; it is simply to empty the belly, while pretending the resulting hunger is actually a form of spiritual discipline.

And, of course, JD Vance is positioning himself to be the leader of the MAGA movement after Trump’s forthcoming exit into complete senility. And he is doing so by demonizing immigrants and their children as not real Americans, and so throwing his own wife Usha and his own children—Ewan, Vivek, Mirabel, and Alec—under the bus.

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##crosspost-jonathan-v-last-neoneofascism-watch-welcome-to-jd-vance-60
##neofascism
##crosspost
#jonathan-v-last-neoneofascism-watch-welcome-to-jd-vance-60
#jonathan-v-last
#neoneofascism-watch-welcome-to-jd-vance-60
#jd-vance
#neoneofascism
#vance-6-0
#amnesiac-heir
#arsonist-firefighter
#spin-dictators
#informational-autocrats
#guriev-and-treisman
#soft-dictatorship
#immigrant-scapegoating
#maga-succession
#2028-election

Torsten Slok Beats the AI-Bear Drum: CHARTS OF THE DAY

Torsten Slok’s charts show AI’s bullwhip in motion. The tip cracks and the body moves fast, but the handle, the S&P 493, doesn’t budge. Outside tech, revenue per worker and profit margins are flat, and measured productivity shows no AI boost. AI’s biggest effects are comeingthrough channels shareholders can’t easily capture: surplus going to users, new businesses entering, and platform incumbents locking customers in tighter. And last one helps a few firms, not the S&P 493…

Torsten Slok’s reading:

Share

Yes, the bullwhip cracks at the tip, and the body of the whip is moving very fast, but the handle and the wielder are not moving at all. These things are simply not very useful. At least, not yet. And not for the existing firms that are in the S&P 493:

Give a gift subscription

He comments:

Torsten Slok: No Signs of AI Payoff Outside the Tech Sector <https://www.apollo.com/wealth/insights-news/insights/daily-spark/no-signs-of-ai-payoff-outside-the-tech-sector>: ‘Despite massive investments and widespread hype around artificial intelligence, the technology has delivered zero financial payoff to corporate America outside of tech. Revenue per worker is… flat for the S&P 493…. Profit margins are… flat for the S&P 493…. No signs of AI boosting [measured] productivity growth…. Mainstream corporate America is pulling back and starting to view token spending… as a cost center…. Mainstream corporate America does not need the latest model and is unwilling to pay for it. As long as agentic AI and token spending are confined to a small part of the economy, the macroeconomic effects of AI will be very limited, see the fourth and fifth charts…

Leave a comment

User surplus, which I think is massive. (But beware the monkey’s paw! Whether we actually need what we think we want in terms of information and communications technology is a deep and complicated multi-dimensional question.) New businesses. And whether the existing platform monopolists will be able to capture more money by finding ways to use “AI” to deepen their moats and further lock-in their customers. Those seem to me more likely to be the big issues than a massive boom in measured GDP and measurable productivity.

If so, one has to really be a debbie-downer with respect to the rationality of current market valuations.

Additional, important things for me to go and read (or reread) now:

  • Fed Governor Lisa Cook, “An Update on AI and the Economy” (Sept 28, 2026, Oakland): Linking AI tools to the recent boom in new business formation, and warning about risk that “market concentration leads to less competition and higher markups” via platform-moat entrenchment… <https://www.federalreserve.gov/newsevents/speech/cook20260928a.htm>

  • Sacher, Cotter, Charles I. Jones, Anton Korinek, & Peter McCrory, “The AI expectations gap” (Anthropic research): Among U.S. adults using workj AI, 26% say it cuts a task to a quarter of the time or less, against 59% of Anthropic staff; 5% of workers vs. over half of staff say AI could do 80% of their own jobs by 2030… <https://www.anthropic.com/research/ai-expectations-gap>

User surplus and moat-deepening are huge stories and lf first-order importance for understanding the arriving attention info-bio tech mode of production. But they do not produce a hyperboom in measured GDP or an explosion in profits that justifies current market valuations.

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##torsten-slok-beats-the-ai-bear-drum-charts-of-the-day
##attention-info-bio-tech-economy
##mamlms
##chart-of-the-day
#torsten-slok-beats-the-ai-bear-drum-charts-of-the-day
#torsten-slok
#beats-the-ai-bear-drum
#ai-bear
#ai-productivity
#profit-margins
#token-spending
#agentic-ai
#user-surplus
#monkeys-paw
#new-business-formation
#platform-monopolies
#market-valuations
#ai-bubble
#crowding-out
#ai-expectations-gap

CROSSPOST: SASHA GUSEV: Vibe Heritability The EJW Symposium on Gregory Clark on Genetics & Social Mobility

Gregory Clark says the drop in English parent-child status correlations is a statistical mirage, and that genes have kept the same families on top since 1600. But Sasha Gusev shows, among other things, that taking Clark’s own numbers for spousal similarity in assortative mating seriously commits you to the nonsense finding that IQ is 200 percent heritable. The arithmetic of genetic determinism of social status simply cannot be made to work:

My friend Greg Clark takes aim at me in the foreword of his new book To Have & Have Not:

Share

A recent Substack essay by Brad DeLong, titled, Big Trouble in Little Human Genetic Difference-Worshipper Land, illustrates nicely the hostility and contempt felt by the academy for anyone who would suggest an important role for direct genetic determination of social outcomes:

“[A]ttempts to carve out a large, causal, manipulable “main effect” of genes on complex social outcomes keep reducing, on closer inspection, to approximately zero” (DeLong, 2026).

Thus an article in the Proceedings of the National Academy of Sciences, which contains the essence of the argument of the book, has been attacked by such prominent behavioral geneticists as Marcus Feldman and Kevin Lala as “scientific racism” (Lala and Feldman, 2024), and “racist pseudoscience” (Lala, Brown, Twyman and Feldman, 2025). Similarly a presentation of the core arguments of the book at Glasgow University in 2021 was indefinitely “postponed” by the Dean in response to a letter signed by 110 Glasgow University Faculty condemning the work as pseudo-science and eugenics. A majority of the reviewers at Princeton fell in solidly with the received wisdom on the unimportance of genetics, without seriously engaging with the copious empirical evidence presented that cultural and social causation could not explain the patterns of inheritance observed in England. Chicago University Press considered the manuscript, but ultimately reported that they could not find reviewers willing to review it!…

Give a gift subscription

But attempts to carve out a large, causal, manipulable “main effect” of genes on complex social outcomes do keep reducing, on closer inspection, to approximately zero! I understand that Greg does not like that conclusion. But it is one I have reached, and I have heard Greg (and many others) make their best pitch, and fail to throw anything I can regard as possibly over the plate!

More important, it is what Sasha Gusev thinks. In his estimation, Greg’s genes-only model of intergenerational human status immobility “for three of the four traits… produces an estimate of [genetic] heritability that is greater than 100% and a negative estimate of the shared environment variance…. These estimates are clearly absurd…”

Sasha:

CROSSPOST: SASHA GUSEV: Vibe Heritability

<https://theinfinitesimal.substack.com/p/vibe-heritability><https://theinfinitesimal.substack.com>

The Infinitesimal
Vibe heritability
The economic historian Gregory Clark has written a book on status persistence, which was the focus of a recent online symposium. Clark has assembled a massive dataset of multigenerational status measurements in England. The project has a particularly British whimsy to it, with much of the data coming from the Guil…
Read more
The EJW Symposium on Gregory Clark on Genetics & Social Mobility

Sasha Gusev

2026-10-12
Edward Ruscha, Various Small Fires, 1970

The economic historian Gregory Clark has written a book on status persistence, which was the focus of a recent online symposium. Clark has assembled a massive dataset of multigenerational status measurements in England. The project has a particularly British whimsy to it, with much of the data coming from the Guild of One-Name Studies, a largely online society of genealogical hobbyists. After analyzing lineages from >400,000 English people, Clark draws a startling conclusion that “genetics underpins social status in England from 1600–2026” — in other words, people are in the upper class and stay in the upper class because of their genes. Clark goes on to argue that “the vast resources poured into increasing rates of social mobility in modern society through public education, income supports, and social services have achieved nothing in terms of increased mobility”. This is a bold claim, so before going much further, it is worth taking a look at Clark’s data. Here are the parent-child correlations in social status traits, reproduced from an analysis of the data by Benning et al.:

Clearly the conventional estimate of social mobility — how similar in status are you to your parents — changed substantially. So how does Clark come to the opposite conclusion? Clark argues that the decrease in familial correlation is a mirage, driven by increases in measurement error. Instead, he proposes to quantify the rate of decay in the familial correlation across increasingly distant relatives, from which he infers large and unchanging latent parameters. These parameters, he argues, imply that status is highly heritable and highly genetically correlated between spouses, thus persisting across generations entirely through genetic pathways.

I and others have previously criticized Clark’s paper for conflating status persistence (through a variety of mechanisms), which his data can observe, with genetic causality that his data cannot identify. I also noted that Clark’s actual parameter estimates are nonsensical. These issues are echoed in some of the symposium articles in novel ways, which I will highlight here. I’ll also comment on the broader discussion in and around the symposium, which I think serves as a microcosm of the nature-nurture discourse.

The trouble with twins

Nikolai Eftedal (himself the author of a fascinating recent study of intergenerational persistence) contributed a short article, cheekily (by my reading) presented as an effort to “provide defenses against two criticisms [Clark] could face”. Eftedal points out that Clark’s model relies on a highly heritable, latent status phenotype that has extreme properties (“arguably so extreme as to be implausible”) and that his model makes impossible predictions about twins. Specifically, Clark’s model hinges on a very high level of genetic assortative mating, which would necessarily imply that monozygotic and dizygotic twins should exhibit only modestly different levels of phenotypic correlation. In Eftedal’s words: “for most relevant traits and outcomes, this is wrong”.

It may seem counterintuitive that a highly heritable phenotype would produce similar correlations between MZ and DZ twins, but it is a direct consequence of the genetic similarity induced by assortative mating. When parents are genetically correlated, DZ twins become more genetically correlated too while MZ twins remain identical, thus bringing the two classes of phenotypic correlations closer together. Classical twin studies, which assume random mating, will in turn estimate a large contribution of the shared environment and a low heritability for status traits (they generally do not). Here’s what that looks like for a highly heritable trait under random mating versus Clark’s spousal genetic correlation (m=0.57):

Under Clark’s model, a trait with heritability of 90% would actually appear statistically to have a heritability of 39% in twins. Eftedal attempts to throw Clark a lifeline by suggesting that large non-additive/interaction effects — which make MZ twins more similar but dissipate rapidly across generations — could reconcile the estimates from twin and family data. In his reply, Clark re-analyzes his dataset to identify sets of twins and siblings and estimate their phenotypic correlations. Among these twins and siblings, he concludes that “there is little sign … of significant non-additive effects”. In other words, he tosses the lifeline right back.

It seems that Clark may have missed the point of the exercise. Under assortative mating, it is not sufficient to eyeball the twin similarities, you need to estimate heritability after accounting for assortment. With a bit of algebra (see Appendix), we can derive a simple relationship between the correlations in Clark’s twins/siblings and underlying heritabilities while also accounting for the genetic correlation between mates estimated by Clark. Having done so, we can walk down the table of twin correlations from Clark and re-estimate the heritability his model would produce:

For three of the four traits, Clark’s parameter produces an estimate of heritability that is greater than 100% and a negative estimate of the shared environment variance. These are observed correlations, which Clark argues are swamped by measurement error, so the out of bounds heritability estimates should actually be even more out of bounds. To be fair, the twin estimates from Clark’s data come with a lot of uncertainty, but we can also apply the same calculation to high quality modern twin studies (cited by Clark in other parts of the text). For educational attainment (Silventoinen et al.) as a representative status trait, the same latent assortment would be consistent with a heritability of 100% and a highly significant (and impossible) shared environment variance of -26%. For IQ (Boomsma et al.), the resulting heritability would be 200% and the shared environment -112%. These estimates are clearly absurd, both in Clark’s data and in modern data, and Clark rejects attempts to reconcile them.

Epicycles

I’m focusing on this example because I think it’s easy to understand and typifies the discussions between Clark and his critics. Clark makes a bold claim (long-run patterns of intergenerational transmission are explained by a purely genetic model). Flaws are identified in the claim (the spousal genetic correlation needed for the model would produce impossible estimates in twins). Clark carries out a new analysis with new data (evaluating MZ/DZ correlations for non-additivity), adding a new epicycle to the model. This analysis is itself flawed in a new way (the MZ/DZ comparisons did not account for assortative mating), revealing a new problem. And on it goes.

Deferent and epicycle - Wikipedia
The epicycles of the planets from the perspective of Earth (source: wikipedia)

The symposium features several such epicycles. John Benning re-analyzes the data and finds that Clark is inappropriately re-using samples to calculate his correlations (“pseudo-replication”) and that proper bootstrapping produces extremely uncertain estimates especially for distant relatives. Clark responds that he does not make use of the estimated sampling error, so it doesn’t matter. In reality, his regressions are weighted by exactly that sampling error and he makes multiple claims about the precision and statistical significance of his estimators which rely on that sampling error; not to mention repeated qualitative arguments about non-zero status persistence in distant relatives. Jan Stuhler points to the extensive literature on within-family birth order effects, which has demonstrated clear environmental influences on social status. Clark argues back that within-family estimates (not exactly a fringe statistical procedure) should not be trusted in general, then justifies this with a simulation in which spurious birth-order effects appear only in between-family regressions — precisely the issue that within-family analyses address. And on it goes.

Vibe heritability

What about Clark’s advocates? Charles Murray (a political scientist) and Noah Carl (a disgraced sociologist) contributed to the symposium, lavishing praise on the book while studiously avoiding any of the statistical issues. Both argue that Clark’s findings align with findings from twin studies, when just a little bit of algebra shows that they are fundamentally incompatible. Alex Tabarrok at the Marginal Revolution blog echoes this theme: Clark has “pushed the debate far into new territory”. Ironically, Tabarrok highlights an observation from distant relatives that is precisely one of the low certainty, pseudo-replication estimates critiqued by Benning. The broad takeaway is: we know in our hearts that Clark is on to something, so don’t think too hard about the numbers, just enjoy the vibe.

This is a common reaction to Clark’s work — that he’s identifying something new and important even if his numbers don’t really add up — but extraordinary claims require a high evidentiary standard, not a gut feeling. Imagine your friend invented a new bodyweight scale after spending years collecting data to calibrate it, and swears that everyone has been weighing themselves incorrectly. You put your toddler on the scale, the little machine does its calculation, and it tells you that your toddler weighs 500 pounds. “See!” your friend says eagerly, “your little one is critically obese, without my invention you’d never have known”. Puzzled, you pick up your toddler and step on the scale together; the scale runs its calculation again, and now it reads 300 pounds for the two of you. “It’s just broken,” you conclude, “I obviously do not weigh negative 200 pounds”. Your friend becomes defensive: “Look, let’s not get into the weeds. 300 pounds, 500 pounds, that’s not the point. My invention has revealed that your toddler is much heavier than you thought. I am pushing the debate into new territory!”.

But your friend hasn’t actually revealed anything; maybe the first measurement was wrong, maybe the second, or maybe (probably) both — the invention simply doesn’t work. Likewise, we know that essentially all traits are driven by some combination of genes, environment, and the interaction of the two. Clark fits a purely genetic model to his data and it doesn’t work. We’ve seen this before. All we can conclude is that pure genetic transmission doesn’t fit the data, a finding that should already have been obvious.


Appendix: Heritability from twin correlations under assortative mating

Following Clark’s terminology, given a genetic correlation between mates of m, the expected genetic sharing between their offspring siblings is:

Then given an additive genetic variance (aka heritability) of A, and a shared environmental variance of C, the resulting phenotypic correlation for different twin classes is:

In Clark’s data, twin zygosity was unknown, but given a pool of twins of which p proportion are MZs, their expected phenotypic correlation is:

Finally, we can relate the two quantities to heritability (A) as:

and solve for heritability as:

as a sanity check, we can see that under random mating m=0 and all twins being monozygotic (p=1), the above reduces to the standard ACE twin model estimate where A=2(rmz-rdz). In the main calculations I have assumed, as Clark does, that half the twins are MZs (p=1/2) and I have used Clark’s pooled estimate of m=0.57.

<https://theinfinitesimal.substack.com/p/vibe-heritability> <https://theinfinitesimal.substack.com>

The Infinitesimal
Vibe heritability
The economic historian Gregory Clark has written a book on status persistence, which was the focus of a recent online symposium. Clark has assembled a massive dataset of multigenerational status measurements in England. The project has a particularly British whimsy to it, with much of the data coming from the Guil…
Read more

Brad DeLong here: I don’t think I really have much value added here.

Share DeLong's Grasping Reality Weblog

I would note that the post he is quoting from is the latest version of a lecture part that I have been occasionally giving in my courses since long before Greg began working on intergenerational status inequality. At the moment it (sometimes) shows up in the “Inequality & Domination” module of my Econ 135: Global Economic History: <https://braddelong.substack.com/p/big-trouble-in-little-human-genetic>.

And what I wrote is, as best as I can tell, a statement of fact. It is how I read the current state of the literature. And, more important, it is how Sasha Gusev and others much more qualified to judge than I am read it:

Leave a comment

Greg: I invited you to come talk about your stuff here at Berkeley. If that is hostility and contempt, that is a very strange way indeed for me to show it.

It is true that I—and the overwhelming majority at the seminar, I believe—did not believe that you had established a case. It seemed to me that your argument required that very strong assortative mating take place not on the basis of wealth, or occupation, or observed status, but rather on the raw genotype: that, as I put it, men and women had to smell the genetic “fitness” of partners and then act sub- and un-consciously on the basis of that smell. Thus it did not seem to hang together.

I, at least, was left with the belief that we knew what we had known from Bowles and Gintis:

Samuel Bowles & Herbert Gintis (2002): The Inheritance of Inequality <https://pubs.aeaweb.org/doi/pdfplus/10.1257/089533002760278686>: ‘the intergenerational correlations for economic status appear to be substantial…. Most researchers now agree… [that] brothers’ incomes are much more similar than those of randomly chosen males of the same race and similar age differences; the incomes of identical twins are much more similar than fraternal twins or non-twin brothers; the children of well-off parents obtain more and higher quality schooling; and wealth inheritance makes an important contribution…. It seems safe to conclude that the intergenerational transmission of economic status is accounted for by a heterogeneous collection of mechanisms, including the genetic and cultural transmission of cognitive skills and noncognitive personality traits in demand by employers, the inheritance of wealth and income-enhancing group memberships, such as race, and the superior education and health status enjoyed by the children of higher status families.

However, the transmission of economic success across generations remains… black box…. Combined inheritance processes operating through superior cognitive performance and educational attainments of those with well-off parents… explain at most three-fifths of the intergenerational transmission of economic status. Moreover, while genetic transmission of earnings-enhancing traits appears to play a role, the genetic transmission of IQ appears to be relatively unimportant. It might be thought that the black box is an artifact of poor measurement of the intervening variables relative to the measurement of the income or earnings of parents and offspring. But this does not seem to be the case….

Refer a friend

Let me repeat: Sasha Gusev, who is much more expert on this than I am, and who I have found a very reliable guide to this business. He concludes that although you have revised pieces of the argument since I saw it, you have simply added on:

Epicycles…. And on it goes.

Deferent and epicycle - Wikipedia
The epicycles of the planets from the perspective of Earth (source: wikipedia)

The [EJR] symposium features several such epicycles. John Benning… finds that Clark is inappropriately re-using samples…. Clark responds that he does not make use of the estimated sampling error, so it doesn’t matter. In reality, his regressions are weighted by exactly that sampling error and he makes multiple claims… which rely on that sampling error…. Stuhler points to the extensive literature on within-family birth order effects… clear environmental influences on social status. Clark argues back that within-family estimates… should not be trusted in general… justifie[d by]… a simulation in which spurious birth-order effects appear only in between-family regressions…. And on it goes…

Get 75% off a group subscription

Sasha’s conclusion? No purely genetic model of the intergenerational transmission of status inequality can hold together. The key number in that model is how genetically similar spouses are. Plug the number you need for that for society as a whole into the data for twins, and you get simply impossible results.

And Sasha seems tired:

Clark makes a bold claim…. Flaws are identified in the claim…. Clark carries out a new analysis with new data…. This analysis is itself flawed in a new way… revealing a new problem. And on it goes…. We know that essentially all traits are driven by some combination of genes, environment, and the interaction of the two. Clark fits a purely genetic model to his data and it doesn’t work. We’ve seen this before. All we can conclude is that pure genetic transmission doesn’t fit the data, a finding that should already have been obvious…

As Sasha writes elsewhere:

Sasha Gusev (2025): We Still Do Not Understand Family Resemblance <https://theinfinitesimal.substack.com/p/we-still-do-not-understand-family>: ‘Behavioral/status traits are complicated and we still do not have good unified models of their family resemblance. The high correlation for MZ twins points to interactions. The high correlation of adopted relatives points to direct and dynastic environmental influences. And the fact that a Fisherian model with biological relatives fit fairly well but became significantly misspecified with the inclusion of in-laws points to an environmental influence that, at least in part, mimics genetic relatedness. This latter point (which I’ve alluded to several times) is important, as it suggests that when we see similarities in families and ascribe them to genes we are at least to some extent misinterpreting the causal processes at play…

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##crosspost-sasha-gusev-vibe-heritability-the-ejw-symposium-on-gregory-clark-on-genetics-social-mobility
##neofascism
##enlarging-the-bounds-of-human-empire
##crosspost
#sasha-gusev-vibe-heritability-the-ejw-symposium-on-gregory-clark-on-genetics-social-mobility
#sasha-gusev
#vibe-heritability-the-ejw-symposium-on-gregory-clark-on-genetics-social-mobility
#vibe-heritability
#social-mobility
#behavioral-genetics
#heritability
#nature-versus-nurture
#epicycles

CROSSPOST: ROBERT RUBIN: In Six Decades of Public Life, I Never Thought I Would Write This Piece

Robert Rubin has spent more than sixty years in and around economic policy, and he never before thought he would have to write this. His message to Wall Street is that a Trump attempt to interfere with or usurp the midterms is a real risk that markets are ignoring. A Turkish executive told the Financial Times, “We can live with high inflation, but our biggest disincentive to invest is the lack of the rule of law.” Rubin warns that the United States doesn’t have to become Turkey or China to learn what that means:

Robert Rubin says: markets today are not pricing in the risks of a stolen midterm—yet Trump has said over and over again that if he loses it will because the Democrats cheated, and not because he, Trump, is historically unpopular. Business leaders think election subversion is a remote risk. Rubin thinks they’re wrong:

Share

Far too many plutocrat billionaires and gentry multimillionaires think Trump and his coterie of fellow kleptocrats are, when the chips are down, their friends. They are wrong to think so:

Give a gift subscription


CROSSPOST: ROBERT RUBIN: In Six Decades of Public Life, I Never Thought I Would Write This Piece

<https://www.nytimes.com/2026/10/21/opinion/trump-midterms-election-threats-ice-economy.html> <https://www.nytimes.com>

Rubin, Robert E

Oct 21, 2026.

The economy has been voters’ top issue in four of the six midterm elections this century — and 2026 appears all but certain to make it five of seven. Beyond the cost of living, the war in Iran and tariffs, America faces a series of daunting longer-term economic challenges, from mounting federal debt to the effects of artificial intelligence.

Yet many Americans continue to underestimate one particular potential threat to our economic future: President Trump’s clearly expressed desire to interfere with and even usurp the midterm elections. Nov. 3 could be a defining test for the rule of law in this country, and both our democracy and our prosperity are on the line.

There is a chance — some would argue a likelihood — that the midterms will proceed smoothly and honestly, with the winners seated in a straightforward manner. There is also the possibility that the election will be, like so much else over the past two years, chaotic at best and lawless at worst. From amplifying false claims of fraud and slashing defenses against foreign meddling in our elections to attempting to bully states into using an error-prone database to purge voter registrations, the Trump administration has already thrown up obstacles to fair and free midterm elections. There are widespread fears Mr. Trump and his allies could go further, including by sending armed federal agents to polling locations, seizing ballot boxes and exploiting a procedural loophole involving the clerk of the House that could enable them to refuse to seat duly elected Democratic members when the new Congress convenes on Jan. 3.

If the Trump administration launches an effort to manipulate the outcome of the midterms, the economic impact could be felt immediately, and it could last long after Mr. Trump’s presidency ends.

With the exception of the booming A.I. sector, corporate investment is already weak. The National Federation of Independent Business’s measurement of small-business uncertainty is 32 percent above its historical average. This seems like a bad time to inject substantially more instability into the mix.

The short-term risks from election interference look even more concerning when we consider the possibility that a fight over the outcomes will not necessarily remain contained to the courtroom. Mr. Trump has explicitly refused to rule out invoking the Insurrection Act in regard to the 2026 elections. Starting in late 2025, a surge of immigration enforcement agents into Minneapolis cost the city, its businesses and its residents an estimated $700 million. Sustained post-election chaos coupled with aggressive federal interference could create similar disruptions on a nationwide scale.

Any effort to undermine the election will eventually resolve itself, whether through political compromise, contentious rulings from courts, the use of force or all three. But the economic impact will outlast any immediate political crisis. The rule of law, undergirded by a tradition of free elections and the peaceful transfer of power, supports business decisions and attracts foreign companies to invest. It underlies the position of the dollar as the world’s reserve currency. It bolsters investors’ confidence in the full faith and credit of the United States and lowers interest rates on our debt. The integrity of our elections, in other words, has been one of the keys to American prosperity.

The United States has not yet seen its economy suffer from a lack of confidence in its legal system. Other countries have. “We can live with high inflation,” one Turkish executive told The Financial Times last year, “but our biggest disincentive to invest is the lack of the rule of law.” A 2024 State Department report similarly identified rule-of-law issues — including lack of respect for property rights, repression of criticism and arbitrary investigations and arrests — as major impediments to the business climate in China.

The United States does not have to become Turkey or China to feel the economic impacts of a diminished rule of law. The economist John Maynard Keynes famously wrote of the “animal spirits” that encourage people to engage in market activity. Americans’ animal spirits have long been bolstered by the knowledge that their country is the best place on earth to start or invest in a business. A contested or overturned election could call that into question.

When I talk to leaders in business and politics, even many of those who acknowledge the election threat seem to consider such a possibility remote. They do not tend to take Mr. Trump’s attacks on voting seriously. That’s another way of saying that the markets are not pricing in what I consider a meaningful risk.

If Mr. Trump accomplishes in 2026 what he was unable to with respect to the 2020 election, or even if he causes widespread chaos by coming closer to his objective, it could create serious disruptions in the bond and equity markets. The yield on 10-year Treasuries recently reached 5.36 percent — higher than it was in the aftermath of the 2008 financial crisis — in part because of concerns about the country’s policy trajectory. Election chaos could increase investors’ worry about the ability of our political system to deal with our fiscal problems, driving yields even higher. This would result in higher debt service costs for the government and higher mortgage rates and credit card bills for consumers, exacerbating our already considerable challenges.

I’ve lived my entire life as a citizen of a constitutional republic that provides rights and protections, and I’d like to continue doing so. I imagine most Americans, regardless of their political leanings, feel the same way.

Over the next few weeks, leaders in business and in all sectors of our society should work with state and local elected officials to help protect the political process that lies at the heart of our constitutional system. They can do this by making clear, nonpartisan declarations of support for election integrity, by supporting nonpartisan organizations that protect our elections and by using behind-the-scenes influence to discourage those who might be considering any steps to disrupt or overturn the midterms.

In more than six decades spent in and around economic policymaking, I never imagined having to write a piece such as this. If we act now, we can still protect our government, our people and our economy — and we can preserve the benefits that accrue to all of us, no matter whom we vote for, when American elections are fair and free.


Mr. Rubin is a senior counselor to Centerview Partners and was the U.S. Treasury secretary from 1995 to 1999.

<https://www.nytimes.com/2026/10/21/opinion/trump-midterms-election-threats-ice-economy.html> <https://www.nytimes.com>


Brad DeLong here: A contested or overturned election would hit America’s “animal spirits” and investment, productivity growth, Treasury yields, and the dollar permanently. Its consequences would echo long after the political crisis ends. Even those who care only about their money, and not about, you know, democracy should be working like dogs right now to draw the fangs of Trump and the Trumpists. And they are not. Steve Schwarzman, for example, is right now funding and running attack ads against Democrats for… investing in and with Steve Schwarzman.

As Bob says: even if you are confident enough in your personal links to TrumpWorld that you do not fear being sent to some Guantanamo GULAG or stripped of your assets on some transparently false pretext, free elections and the peaceful transfer of power are very valuable economic infrastructure. As Bob says: Trump and the Trumpists have already amplified false fraud claims, cut defenses against foreign meddling, pushed states toward an error-prone voter-purge database, and made a bright line of refusing to rule out invoking the Insurrection Act.

I say: Trump has already tried to overthrow the government of the United States once. Even if you are confident that a second attempt will also be defeated, it will accelerate the decoupling of global investment and trade from the United States. The long-run economic damage will be large.

As Bob says: investment outside of AI is already weak, and so is productivity growth. I say: The sustainability of the U.S. fiscal position requires the arithmetic inequality that Treasury yields be below the nominal growth rate of GDP. The cutoff of immigration and weak investment outside AI means that that arithmetic inequality would fall with another confidence shock to the US. It then would rely on AI paying off BigTime in significantly faster measured GDP growth. And there are few signs right now that AI will pay off BigTime in measured GDP growth. Protect current platform-monopoly profits, yes. Change how we live and think profoundly for good or ill, yes. Build a Digital God, no—although many involved in it think that that is what they are doing. Pay off BigTime in boosting measured GDP growth? As I read it, very unlikely.

Subscribe now

Leave a comment

If reading this gets you Value Above Replacement, then become a free subscriber to this newsletter. And forward it! And if your VAR from this newsletter is in the three digits or more each year, please become a paid subscriber! I am trying to make you readers—and myself—smarter. Please tell me if I succeed, or how I fail…

##crosspost-robert-rubin-in-six-decades-of-public-life-i-never-thought-i-would-write-this-piece
##neofascism
##chaos-monkey-trump
##crosspost
#robert-rubin-in-six-decades-of-public-life-i-never-thought-i-would-write-this-piece
#robert-rubin
#in-six-decades-of-public-life-i-never-thought-i-would-write-this-piece
#rule-of-law
#midterm-elections
#election-integrity
#election-subversion
#democracy
#political-economy
#sovereign-risk
#investment-uncertainty
#peaceful-transfer-power
#institutions-matter
#donald-trump