America
Article
America is a recurring place in the Astral Codex Ten archive, appearing 86 times across 86 issues between February 03, 2021 and March 25, 2026. The archive places it in contexts such as “which hurt America’s bargaining position”; “when America was 80 or 90% white”; “America has been unable to create enough coronavirus tests”. It most often appears alongside US, United States, China.
Metadata
- Category: Places
- Mention count: 86
- Issue count: 86
- First seen: February 03, 2021
- Last seen: March 25, 2026
Appears In
- Ontology Of Psychiatric Conditions: Dynamical Systems
- Book Review: Why We’re Polarized
- Ezra Klein On Vetocracy
- Book Review: Fussell On Class
- Prospectus On Próspera
- The Rise And Fall Of Online Culture Wars
- Your Book Review: The Accidental Superpower
- Your Book Review: Where’s My Flying Car?
- Contra Smith On Jewish Selective Immigration
- Book Review: How Asia Works
- Book Review: Crazy Like Us
- Highlights From The Comments On “Crazy Like Us”
- 21
- 15
- Ivermectin: Much More Than You Wanted To Know
- 21
- Does Georgism Work? Part 1: Is Land Really A Big Deal?
- Movie Review: Don’t Look Up
- Highlights From The Comments On “Don’t Look Up”
- Highlights From The Comments On Health Care Systems
- The Passage Of Polymarket
- Ukraine Warcasting
- Ukraine Thoughts And Links
- Dictator Book Club: Xi Jinping
- California Gubernatorial Candidates From Z to Z
- Against “There Are Two X-Wing Parties”
- Book Review: The Man From The Future
- Slightly Against Underpopulation Worries
- Book Review: What We Owe The Future
- Highlights From The Comments On The Repugnant Conclusion And WWOTF
- A Columbian Exchange
- Highlights From The Comments On Columbus Day
- Highlights From The Comments On The Central Valley
- Highlights From The Comments On Bobos In Paradise
- Highlights From The Comments On Geography Of Madness
- Book Review: Paper Belt On Fire
- Most Technologies Aren’t Races
- Change My Mind: Density Increases Local But Decreases Global Prices
- Highlights From The Comments On Housing Density And Prices
- Highlights From The Comments On Long COVID And Bisexuality
- Assistant Dictator Book Club: America Against America
- Is There An Illusion Of Moral Decline?
- Highlights From The Comments On Dating Preferences
- My Presidential Platform
- Highlights From The Comments On Elon Musk
- Dictator Book Club: Chavez
- Highlights From The Comments On Kidney Donation
- Hardball Questions For The Next Debate
- Book Review: I See Satan Fall Like Lightning
- In The Long Run, We’re All Dad
- Does Capitalism Beat Charity?
- Highlights From The Comments On The Lab Leak Debate
- Highlights From The Comments On “The Origin Of Woke”
- Open Thread 332
- My 2024 Presidential Debate
- Your Book Review: Dominion
- Your Book Review: The Family That Couldn’t Sleep
- Highlights From The Comments On Mentally Ill Homeless People
- Your Book Review: Real Raw News
- Altruism And Vitalism As Fellow Travelers
- Links For September 2024
- Your Book Review: Nine Lives
- Against The Cultural Christianity Argument
- Book Review: The Rise Of Christianity
- The Early Christian Strategy
- Prison And Crime: Much More Than You Wanted To Know
- Book Review: From Bauhaus To Our House
- Highlights From The Comments On Prison
- It’s Still Easier To Imagine The End Of The World Than The End Of Capitalism
- Bureaucracy Isn’t Measured In Bureaucrats
- Highlights From The Comments On Lynn And IQ
- Links For January 2025
- My Takeaways From AI 2027
- Highlights From The Comments On POSIWID
- Links For July 2025
- Book Review: Arguments About Aborigines
- Your Review: Islamic Geometric Patterns In The Metropolitan Museum Of Art
- Open Thread 399
- The Fatima Sun Miracle: Much More Than You Wanted To Know
- Fascism Can’t Mean Both A Specific Ideology And A Legitimate Target
- Why AI Safety Won’t Make America Lose The Race With China
- Links For December 2025
- You Have Only X Years To Escape Permanent Moon Ownership
- Mantic Monday: The Monkey’s Paw Curls
- Mantic Monday: Groundhog Day
- Every Debate On Pausing AI
Related Pages
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- US (39 shared issues)
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- United States (30 shared issues)
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- China (29 shared issues)
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- Twitter (21 shared issues)
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- Trump (20 shared issues)
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- Germany (19 shared issues)
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- California (18 shared issues)
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- Russia (18 shared issues)
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- Israel (17 shared issues)
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- Japan (17 shared issues)
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- New York (16 shared issues)
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- Scott (15 shared issues)
External Links
Source Context
Recovered passages from the original issue text. When the raw archive preserved outbound links inside the source passage, they are listed directly under the quote.
8. Almost any intervention can help or hurt a little, or sometimes both at once, often in completely unpredictable ways. For example, the time the aliens created one million lions in the center of Times Square was more of a test of the Materialization Ray than something they really expected to help, but this destroyed the city of New York, which hurt America’s bargaining position, which caused them to cave in to the demands of Arab countries, which convinced the Arab countries to resume sending oil a little sooner.
Professor Zxyxon argues that their seemingly-successful treatments will have unexpected side effects. The more oil they materialize, the more likely Earth’s native oil industry collapses – nobody will be willing to pay for oil produced the usual way when magic oil keeps materializing from thin air. That means that as soon as the aliens stop materializing oil, Earth will go into withdrawal, finding itself with much less oil than ever before, and suffering a catastrophic economic collapse. She suggests that either they avoid ever materializing oil at all, or that they “taper” their oil shipments to give Earth’s economy a chance to recover.
Did you know that seventy years ago, our grandparents were having an underpolarization crisis? True! In 1950, the American Political Science Association "released a call to arms...pleading for a more polarized political system". The report argued that "the parties contain too much diversity of opinion and work together too easily, leaving voters confused about who to vote for and why". Everyone agreed with each other so much, and compromised so readily, that supporting one party over the other seemed almost pointless.
That having been said, I don't think he acquits himself well here. Some of his arguments aren’t great (the Republicans "launched a bizarre and unpopular campaign to impeach Clinton", but Clinton was obviously okay and didn't deserve impeachment, so the GOP has gone crazy and is a threat to democracy). He refers to data "showing Congressional Republicans have moved further left than Democrats have moved right", which I think is a typo (isn't the usual argument that Republicans have moved further right than Democrats have moved left?) but he never gets around to presenting it, instead gesturing at how it's obvious by looking at the Trump campaign vs. the Clinton campaign. This does not seem obvious to me. Trump holds basically the same positions that Americans in the mainstream of either party would have held in a less polarized time (eg 1995); Clinton holds positions that everyone in 1995 (including her husband) would have thought insane, radical, and ultra-far-left.
Klein calls this "the Democratic party more successfully resisting polarization", and thinks of this as related to structural differences between the two parties. He says that the Republican Party represents the modal American on various characteristics, eg Christian (the most common religion), white (the most common race), straight (the most common sexual orientation), etc, whereas the Democrats represent everyone else (eg Muslims, Jews, atheists, and every minority religion; blacks, Asians, Hispanics, and every minority race; etc). That means the Republicans are more ideologically uniform - Christians are genuinely similar to other Christians, but Jews are only superficially similar to Muslims by virtue of their non-Christianness. That means ideology can't really capture the Democratic Party in the same way it captures the Republican Party. One point kind of in support of this - ask Democrats their favorite news source, and you get a long tail of stuff (most popular is CNN at 15%, then NPR at 13%, and so on). But ask conservatives and it's dominated by FOX (47%). Does this lack of news-source diversity reflect a lack of ideological diversity? Could be.
I’ve covered Congress for almost 20 years. The place is littered with proposals to construct universal pre-K and reimagine the health system, to decarbonize the US economy and incentivize drug development through prizes and solve the housing crisis. They just don’t pass. It’s become a running joke in Washington that every week is “infrastructure week.” But we’re not rebuilding American infrastructure.
Here’s my answer: The institutions through which Americans build have become biased against action rather than toward it. They’ve become, in political scientist Francis Fukuyama’s term, “vetocracies,” in which too many actors have veto rights over what gets built. That’s true in the federal government. It’s true in state and local governments. It’s even true in the private sector.
In a viral essay, venture capitalist Marc Andreessen makes a simple exhortation: It’s time to build. Behind the coronavirus crisis, he writes, lies “our widespread inability to build.” America has been unable to create enough coronavirus tests, or even enough cotton swabs to fully utilize the tests we do have. We don’t have enough ventilators, ICU beds, personal protection equipment. The government hasn’t built the capacity to quickly get money to people or businesses who need it.
5. If you have to be in the United States, some places are classier than others. The best places are "those longest under occupation by financially prudent Anglo-Saxons, like Newport (Rhode Island) Haddam (Connecticut), and Bar Harbor (Maine)". The worst are places like Akron and Tampa, but why? Fussell is always somewhere on the border between serious and joking, and I worry he completely loses the plot here. He says you can measure the unclassiness of a place in bowling alleys per capita, megachurches per capita, or (perhaps), some kind of joint bowling alleys plus megachurches index. Getting serious again:
X people constitute something like a classless class. They occupy the one social place in the USA where the ethic of buying and selling is not all-powerful. Impelled by insolence, intelligence, irony, and spirit, X people have escaped out the back doors of those theaters of class which enclose others...in some ways they resemble E.M. Forster's "aristocracy of the plucky", whose members are "sensitive for others as well as themselves...considerate without being fussy." [...] If people with small imaginations and limited understandings aspire to get into the upper-middle class, the few with notable gifts of mind and perception aspire to disencumber themselves into X people. It's only as an X, detached from the constraints and anxieties of the whole class racket, that an American can enjoy something like the LIBERTY promised on the coinage. And it's in the X world, if anywhere, that an American can avoid some of the envy and ambition that pervert so many.
He recognizes this might not be the most popular topic. When he tells people he's writing a book on class in America, "it is as if I had said I am working on a book urging the beating to death of baby whales using the dead bodies of baby seals." America likes to think of itself as a classless society. Sure, there may be vast wealth inequality, but at least there's no nobility; beggars and billionaires are the same type of citizen.
Brimen comes from Venezuela, where he briefly flirted with socialism and Chavismo as a teenager before “reality…opened my eyes to just how wrong I was”. He emigrated to the United States, entered finance, rose through the ranks, founded an insurance company in Colombia, and eventually started a “social impact investing” corporation called NEWay Capital to promote growth in Latin America. Próspera started out as one of NEWay’s projects and quickly grew into a separate and more ambitious company.
Inline links: “reality…opened my eyes to just how wrong I was”
Australia, Austria, Belgium, Canada, Chile, Denmark, Dubai, Estonia, Finland, France, Germany, Iceland, Ireland, Hong Kong, Israel, Italy, Japan, South Korea, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Spain, Sweden, Singapore, Switzerland, United Kingdom, and United States of America
Thousands of Hondurans make the dangerous journey to the United States in search of freedom, safety, and a living wage. They're tired of poverty and murder and corruption and think that a well-run polity with capitalist institutions can help them build a better life. I can’t blame them one whit. America is a better place to live than Honduras. This isn't because Americans are smarter, or harder-working, or morally superior. It's because Honduras has bad institutions.
And most of the participants were into feminism in particular. The 2000s US was whiter than today, had worse Internet penetration of minority areas, and was in the early Obama era racial detente (did you know that in 2010, only 13% of Americans described themselves as very worried about race relations?). Even the most warlike of social justice warriors didn’t treat race as a big issue.
Inline links: only 13% of Americans
Maybe we need to think back further. When I was a child, the unofficial ideology of mainstream institutions was a sort of watered-down version of Christian morality merged with American patriotism. If you wanted to be on TV, get government money, or win campaigns, you had to be vaguely in favor of the Bible, civility, family, and The Troops; and vaguely against marijuana, crime, and communism. You signaled virtue by not using the word “fuck”, not tolerating other people using the word “fuck”, and getting conspicuously angry if anyone on TV suggested the existence of sex. Fashionable intelligensia types spent the better part of half a century making fun of this establishment, with only the most gradual and limited success until recently. If a pulse of the Internet culture war cycle lasts five to ten years, a pulse of the mainstream institutional values cycle lasts somewhere between fifty years and “God, please let this actually be a cycle”.
They tell a familiar story: America is becoming increasingly obsessed with racism and sexism. Identity issues are dominating our politics more and more with no end in sight.
Even catastrophic losses abroad would never actually harm the base of American power, rooted as it was in the charmed nature of American geography. If Britain lost its empire, it was reduced to secondary-power status. If the Maginot Line were breached, France would fall. If the Americans lost every scrap of land they held internationally, they would still be the most powerful country in human history.
American empire was rejected out of an unwillingness to have a forever-war of occupation that would have been impractical to wage against the Soviets. Instead, America offers a deal that is “one of the great strategic gambits in history.” The deal offered benefits not only to England, France, and the Allies, but also to Japan and Germany that they couldn’t have even hoped to achieve had they won the war.6 Zeihan refers to this deal as “free trade” and “Bretton Woods,” based on the New Hampshire town in which the Americans dictated its terms to the Allies in 1944. It would let everyone sell into the best and last market in the world, with their commerce protected by the world’s only real navy, and all that America asked in return was the provision of cannon fodder against Soviet invasions. That may not have been such a big ask, as they may have lost their independence to such invasions without American assistance anyway. The deal was offered in pursuit of the strategic goal of containing the Soviets, presumably to avoid having them directly threaten Americans.
Inline links: 6
American foreign policy comes off looking surprising competent through Zeihan’s story. In describing the history of Bretton Woods, he runs through some key participants and highlights the benefits of their membership. India, hurting the Soviets in South Asia; Sweden, hurting them in the Baltic; Argentina and Egypt, limiting their influence in South America and the Middle East; and most significantly, China, depriving them of their best ports. Why did America fight in Korea and Vietnam? To demonstrate the value of the security guarantee component of the Bretton Woods regime (“if the Americans proved unwilling to engage the Chinese in Korea, then was their security guarantee for the Germans against the Soviets really worth what they said it was?”).
“The 1971 D.C. Circuit Court case Calvert Cliffs required the United States Atomic Energy Commission (AEC) to comply with a mandate to prepare environmental impact statements for proposed actions. The AEC reacted by suspending all licensing for nuclear power plants for 18 months while it devised new rules.”
The miracle of the Industrial Revolution is now easily stated: In 1800, 85% of the world’s population was at Level 1. Today, only 9% is. Over the past half century, the bulk of humanity moved up out of Level 1 to erase the rich-poor gap and make the world wealth distribution roughly bell-shaped. The average American moved from Level 2 in 1800, to level 3 in 1900, to Level 4 in 2000. We can state the Great Stagnation story nearly as simply: There is no level 5."
“The Baby Boomers—my generation—split into two cultures which, as far as I can see, not only didn’t agree on values but which fundamentally couldn’t even understand each other. Ask any Boomer what was the greatest, most pivotal event of 1969. Half of us will say the Apollo 11 moon landing. The other half will say Woodstock. Both sets, hearing the other’s opinion, will emit an honestly uncomprehending “Huh!?!?” From the Fifties to the Seventies, the average American followed the lifecycle of Sinclair Lewis’ Babbitt from conformity and cooperation to non-conformist rebellion in a search for personal meaning. The corporate state worked with the cooperating, self-sacrificing Greatest Generation. It didn’t work so well with Aquarians.”
They are a bane to the country and a curse to the Jews. The Jews have earned an enviable reputation in the United States, but this has been undermined by the influx of thousands who are not ripe for the enjoyment of liberty and equal rights, and all who mean well for the Jewish name should prevent them much as possible from coming there. The experience of the charity teaches that organized immigration from Russia, Roumania, and other semi-barbarous countries is a mistake and has proved a failure. It is no relief to the Jews of Russia, Poland, etc, and it jeopardizes the well-being of the American Jews.
1. Selective immigration - Maybe only the smartest/richest/go-getter-est Jews made it to the US, which makes American Jews seem extra impressive. We know something like this happens for some groups of modern immigrants - for example, Indian-Americans are very successful, earning about twice as much as whites on average. But everyone knows that it's mostly Indian elites who emigrate, so this isn't too surprising. Might Jews be the same? Noah writes:
Most Jews came to America to escape repressive regimes in Europe. It stands to reason that more successful and/or wealthier Jews would have a better chance of making it out. So American Jews are not a random sample of all Jews; they're going to be biased toward the smart, the rich, and the risk-tolerant.
And every big developed country that passed through a manufacturing phase used tariffs (except Britain, which industrialized first and didn't need to defend itself against anybody). Economic planners like Friedrich List in Germany and Alexander Hamilton in the United States realized early on that British competition would stifle the development of native industry without government protection. Once their industries were as good as Britain's, they removed their tariffs, which was the right move - but they never would have been able to reach that level without protectionism.
It was William Hinton, an American Marxist writer conducting research in the 1940s, who produced the classic outsider-insider’s tale of life in a Chinese farming village [in] Shanxi province. Hinton wrote about the mundane realities of death by starvation during the annual ‘spring hunger’ when food reserves ran out, and of the slavery (mostly of girls), landlord violence, domestic violence, usury, endemic mafia-style secret societies and other assorted brutalities that characterised everyday life. One of the most striking aspects was the attention paid to faeces, the key fertiliser. Children and old people constantly scoured public areas for animal droppings. Landlords demanded that day labourers defecate only in their landlords’ privies; out-of-village labourers were preferred by some because they could not skip off to their own toilets.
Despite all these benefits, land reform rarely happens. Landlords naturally resist expropriation, and no country at this stage has the money to pay them market value. The Asian countries got their land reform through convoluted pathways. Japan's happened first in the Meiji Restoration, but didn't stick; the final version was rammed through by Douglas MacArthur, who acted as a dictator and didn't care what Japanese elites thought. China's happened under communism, and South Korea's and Taiwan's happened as part of an American-led effort to defuse the appeal of communism by giving peasants and workers an unusually fair deal under capitalism.
(I don’t remember if Watters mentions it, but this is also the pre-mid-20th-century American/European conception of depression - there’s nothing particularly Japanese about it. The usual term for this idea is melancholia, sometimes used to mean an especially severe endogenous depression, although other people use the word in different and confusing ways. Better historians than I can debate whether the West saw the concept of melancholia fade gradually into modern depression, or whether it had to do with SSRI-induced marketing campaigns here too; I suspect there was a gradual halfway transition from 1900 - 1990, followed by an extremely sudden transition after the invention of SSRIs and the publication of Listening To Prozac. But let’s go back to pretending this is an exotic Japanese phenomenon.)
As part of GlaxoSmithKline’s marketing work, they replaced utsubyo with a new idea, kokoro no kaze, “cold of the soul”. This was supposed to mean that depression was a minor illness (like a cold), something everyone got occasionally (like a cold), and something that was purely biological and could/should be controlled with medication (like a cold). Japanese people were extremely excited about this and bought Paxil by the bushel, and now they use SSRIs at a rate close to Americans.
Watters focuses on two things he thinks Zanzibaris do right. First, they minimize schizophrenia. Because of the spirit-possession aspect, instead of being marked apart as ill and unusual, they’re treated as on a continuum with everyone else (since we all get possessed by spirits sometimes). Even when they take a more medicalized perspective on schizophrenia, they call it by extremely vague terms that don’t differentiate it from mild illness, eg “an attack of the nerves” (this seems to be a universal developing-world euphemism for schizophrenia, shared by eg Latin Americans). Zanzibari schizophrenics never feel that different from anyone else - everyone gets possessed by spirits sometimes, everyone gets attacks of the nerves sometimes, lots of people never leave their family homes.
(Dr. Van Der Kolk): "In my new job I was confronted on an almost daily basis with issues I thought I had left behind at the VA. My experience with combat veterans had so sensitized me to the impact of trauma that I now listened with a very different ear when depressed and anxious patients told me stories of molestation and family violence. I was particularly struck by how many female patients spoke of being sexually abused as children. This was puzzling, as the standard textbook of psychiatry at the time stated that incest was extremely rare in the United States, occurring about once in every million women. Given that there were then only about one hundred million women living in the United States, I wondered how forty seven, almost half of them, had found their way to my office in the basement of the hospital.
I found the trauma section of the book very compelling, in part because it squares with my impression of the United States as a society that is convinced it understands trauma better than any previous society but seems to achieve uniquely poor outcomes. It would be like a land that was convinced it had the best vaccine for polio but you look around and every fourth person is in an iron lung.
This focuses more on the association between households with high expressed emotion, and relapse of schizophrenia, but also gives some numbers attributed to Leff & Vaughan 1985 which at first glance do line up with the ones for American and British households from the book (the linked article gives the low-EE %, the quote from the book above is the high-EE %, and they add up to 100%). Despite having a university library access I couldn't find the Leff & Vaughan paper quickly, though-- others might have more success.
Marc Lore founded diapers.com and various other internet startups, served a stint as Wal-Mart’s e-commerce director, and made a few billion dollars. Now he wants to start a city in the deserts of the American West, with a new vision of socially responsible democracy.
Here’s a picture some artist drew, which we are supposed to believe is relevant in some way. I like Georgism as much as anyone else, but I’m not sure a new city in the desert is the right place to try it. Land in the desert is already really cheap. You’d have to really succeed at building a pretty big and desirable city before landlords started capturing a lot of value.
Econ Americas interviewed (44-minute video) Guillermo Peña, [Orqueida ZEDE]'s Technical Secretary. He summarizes Honduras's recent political and economic history (and seems to believe things are getting better). Orchid has 400 employees already and the locals are typically doubling their income. They'll start exporting in January 2022. They'll invest $85 million over four years with 2,700 employees eventually. It's the largest greenhouse in Central America, exporting vegetables and flowers, over 160 hectares. While all three opposition parties are opposed to ZEDEs, Pena is pretty optimistic that the ZEDEs won’t be shut down, at least immediately, if the opposition wins the November election (see 35:25).
Inline links: interviewed
Suppose you want to know whether America will have a higher GDP than China in 2100. You want to make a real prediction market about it, none of this newfangled “reciprocal scoring” stuff. But nobody will put their money in a prediction market for more than five years at a time, because even if you double your money, 100% return over eighty years is a bad investment.
I think the advantage of iterating it this way is that you can amplify small changes. Suppose that right now, the market thinks there’s a 50% chance that America will beat China in 2100. But I am a great economic analyst who knows things the market doesn’t, which allow me to determine that the real chance is 52%. Leaving money in a market for five years to make 4% return doesn’t sound great. So we could do something like make people bet on whether the 2025 market would be <40%, 40 - 45%, 45-50%, 50-55%, 55-60%, or >60%. This way if you’re even directionally right you can double your money in five years. I bet there are more clever mathematical ways to do this which would give you finer-grained resolution.
Here’s the prevalence of roundworm infections by country (source). But alongside roundworms, there are threadworms, hookworms, blood flukes, liver flukes, nematodes, trematodes, all sorts of worms. Add them all up and somewhere between half and a quarter of people in the developing world have at least one parasitic worm in their body. Being full of worms may impact your ability to fight coronavirus. Gluchowska et al write: Helminth [ie worm] infections are among the most common infectious diseases. Bradbury et al. highlight the possible negative interactions between helminth infection and COVID-19 severity in helminth-endemic regions and note that alterations in the gut microbiome associated with helminth infection appear to have systemic immunomodulatory effects. It has also been proposed that helminth co-infection may increase the morbidity and mortality of COVID-19, because the immune system cannot efficiently respond to the virus; in addition, vaccines will be less effective for these patients, but treatment and prevention of helminth infections might reduce the negative effect of COVID-19. During millennia of parasite-host coevolution helminths evolved mechanisms suppressing the host immune responses, which may mitigate vaccine efficacy and increase severity of other infectious diseases. Treatment of worm infections might reduce the negative effect of COVID-19! And ivermectin is a deworming drug! You can see where this is going… The most relevant species of worm here is the roundworm Strongyloides stercoralis. Among the commonest treatments for COVID-19 is corticosteroids, a type of immunosuppresant drug. The types of immune responses it suppresses do more harm than good in coronavirus, so turning them off limits collateral damage and makes patients better on net. But these are also the types of immune responses that control Strongyloides. If you turn them off even very briefly, the worms multiply out of control, you get what’s called “Strongyloides hyperinfection”, and pretty often you die. According to the WHO: The current COVID-19 pandemic serves to highlight the risk of using systemic corticosteroids and, to a lesser extent, other immunosuppressive therapy, in populations with significant risk of underlying strongyloidiasis. Cases of strongyloidiasis hyperinfection in the setting of corticosteroid use as COVID-19 therapy have been described and draw attention to the necessity of addressing the risk of iatrogenic strongyloidiasis hyperinfection syndrome in infected individuals prior to corticosteroid administration. Although this has gained importance in the midst of a pandemic where corticosteroids are one of few therapies shown to improve mortality, its relevance is much broader given that corticosteroids and other immunosuppressive therapies have become increasingly common in treatment of chronic diseases (e.g. asthma or certain rheumatologic conditions). So you need to “address the risk” of strongyloides infection during COVID treatment in roundworm-endemic areas. And how might you address this, WHO? Treatment of chronic strongyloidiasis with ivermectin 200 µg/kg per day orally x 1-2 days is considered safe with potential contraindications including possible Loa loa infection (endemic in West and Central Africa), pregnancy, and weight <15kg. Given ivermectin’s safety profile, the United States has utilized presumptive treatment with ivermectin for strongyloidiasis in refugees resettling from endemic areas, and both Canada and the European Centre for Disease Prevention and Control have issued guidance on presumptive treatment to avoid hyperinfection in at risk populations. Screening and treatment, or where not available, addition of ivermectin to mass drug administration programs should be studied and considered. This is serious and common enough that, if you’re not going to screen for it, it might be worth “add[ing] ivermectin to mass drug administration programs” in affected areas! Dr. Avi Bitterman carries the hypothesis to the finish line: First two images are with all relevant studies; second two are a sensitivity analysis that removes some of the most dubious. The good ivermectin trials in areas with low Strongyloides prevalence, like Vallejos in Argentina, are mostly negative. The good ivermectin trials in areas with high Strongyloides prevalence, like Mahmud in Bangladesh, are mostly positive. Worms can’t explain the viral positivity outcomes (ie PCR), but Dr. Bitterman suggests that once you remove low quality trials and worm-related results, the rest looks like simple publication bias: This is still just a possibility. Maybe I’m over-focusing too hard on a couple positive results and this will all turn out to be nothing. Or who knows, maybe ivermectin does work against COVID a little - although it would have to be very little, fading to not at all in temperate worm-free countries. But this theory feels right to me. It feels right to me because it’s the most troll-ish possible solution. Everybody was wrong! The people who called it a miracle drug against COVID were wrong. The people who dismissed all the studies because they F@#king Love Science were wrong. Ivmmeta.com was wrong. Gideon Meyerowitz-Katz was…well, he was right, actually, I got the worm-related meta-analysis graphic above from his Twitter timeline. Still, an excellent troll. Also, the best part is that I ignorantly asked, in my description of Mahmud et al above: And it was! It was a fluke! A literal, physical, fluke! For my whole life, God has been placing terrible puns in my path to irritate me, and this would be the worst one ever! So it has to be true! The Scientific Takeaway About ten years ago, when the replication crisis started, we learned a certain set of tools for examining studies. Check for selection bias. Distrust “adjusting for confounders”. Check for p-hacking and forking paths. Make teams preregister their analyses. Do forest plots to find publication bias. Stop accepting p-values of 0.049. Wait for replications. Trust reviews and meta-analyses, instead of individual small studies. These were good tools. Having them was infinitely better than not having them. But even in 2014, I was writing about how many bad studies seemed to slip through the cracks even when we pushed this toolbox to its limits. We needed new tools. I think the methods that Meyerowitz-Katz, Sheldrake, Heathers, Brown, Lawrence and others brought to the limelight this year are some of the new tools we were waiting for. Part of this new toolset is to check for fraud. About 10 - 15% of the seemingly-good studies on ivermectin ended up extremely suspicious for fraud. Elgazzar, Carvallo, Niaee, Cadegiani, Samaha. There are ways to check for this even when you don’t have the raw data. Like: The Carlisle-Stouffer-Fisher method: Check some large group of comparisons, usually the Table 1 of an RCT where they compare the demographic characteristics of the control and experimental groups, for reasonable p-values. Real data will have p-values all over the map; one in every ten comparisons will have a p-value of 0.1 or less. Fakers seem bad at this and usually give everything a nice safe p-value like 0.8 or 0.9.
Inline links: source, Gluchowska et al, the WHO, carries, https://substackcdn.com/image/fetch/$s_!xExE!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F5da21781-249c-4e59-b616-9f23d83cc044_2048x1184.jpeg, https://substackcdn.com/image/fetch/$s_!4SMr!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fdcd6e4b2-37f7-4602-93d5-2581c3b27a60_700x432.png, https://substackcdn.com/image/fetch/$s_!-6n2!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F7fd6e8f4-093e-4e02-bce7-363615146c9c_2228x1346.jpeg, https://substackcdn.com/image/fetch/$s_!CPZs!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fb0425847-198a-4bd3-a63b-149f15d147ba_700x432.png, https://substackcdn.com/image/fetch/$s_!H3rK!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F9972491b-25b0-4c06-8aca-86fce102ae63_666x147.png, even in 2014, The Carlisle-Stouffer-Fisher method
…looks very impressive, in terms of the experimental group doing better than the control, except that they don’t specify whether it was before the trial or after it, and at least one online commentator thinks it might have been before, in which case it’s only impressive how thoroughly they failed to randomize their groups. Overall I don’t feel bad throwing this study out. I hope it one day succeeds in returning to its home planet. Lopez-Medina et al: Colombian RCT. 200 patients took ivermectin, another 200 took placebo. They originally worried the placebo might taste different than real ivermectin, then solved this by replacing it with a different placebo, which is a pretty high level of conscientiousness. Primary outcome was originally percent of patients whose symptoms worsened by two points, as rated on a complicated symptom scale when a researcher asked them over the phone. Halfway through the study, they realized nobody was worsening that much, so they changed the primary outcome to time until symptoms got better, as measured by the scale. In the ivermectin group, symptoms improved that much after 10 days; in the placebo group, after 12, p = 0.53. By the end of the study, symptoms had improved in 82% of ivermectin users and 79% of controls, also insignificant. 4 patients in the ivermectin group needed to be hospitalized compared to 6 in the placebo group, again insignificant. This study is bigger than most of the other RCTs, and more polished in terms of how many spelling errors, photographs of computer screens, etc, it contains. It was published in JAMA, one of the most prestigious US medical journals, as opposed to the crappy nth-tier journals most of the others have been in. When people say things like “sure, a lot of small studies show good results for ivermectin, but the bigger and more professional trials don’t”, this is one of the two big professional trials they’re talking about. Ivermectin proponents make some good arguments against it. In order to get as big as it did, Lopez-Medina had to compromise on rigor. Its outcome is how people self-score their symptoms on a hokey scale in a phone interview, instead of viral load or PCR results or anything like that. Still, this is basically what we want, right? In the end, we want people to feel better and less sick, not to get good scores on PCR tests. Also, it changed its primary outcome halfway through; isn’t that bad? I think maybe not; the reason we want a preregistered primary outcome is so that you don’t change halfway through to whatever outcome shows the results you want. The researchers in this study did a good job explaining why they changed their outcome, the change makes sense, and their original outcome would also have shown ivermectin not working (albeit less accurately and effectively). I don’t know of any evidence that they knew (or suspected) final results when switching to this new outcome, and it seems like the most reasonable new outcome to switch to. Finally, their original placebo tasted different from ivermectin (though they switched halfway through). This is one of the few studies where I actually care about placebo, because people are self-rating their symptoms. But realistically most of these people don’t know what ivermectin is supposed to taste like. Also, they did a re-analysis and found there was no difference between the people who got the old placebo and the new one. I’m making a big deal of this because ivmmeta.com - the really impressive meta-analysis site I’ve been going off of - puts a special warning letter underneath their discussion of this study, urging us not to trust it. They don’t do this for any of the other ones we’ve addressed so far - not the one by the guy whose other studies were all frauds, not the one where 50% of 21 people had headaches, not the unrandomized one where the groups were completely different before the experiment started, not even the one by the guy accused of crimes against humanity. Only this one. This makes me a lot less charitable to ivmmeta than I would otherwise be; I think it’s hard to choose this particular warning letter strategy out of well-intentioned commitment to truth. They just really don’t like this big study that shows ivermectin doesn’t work. Also, the warning itself irritates me, and includes paragraphs like: RCTs have a fundamental bias against finding an effect for interventions that are widely available — patients that believe they need treatment are more likely to decline participation and take the intervention [Yeh], i.e., RCTs are more likely to enroll low-risk participants that do not need treatment to recover (this does not apply to the typical pharmaceutical trial of a new drug that is otherwise unavailable). This trial was run in a community where ivermectin was available OTC and very widely known and used. Nobody else worries about this, and there are a million biases that non-randomized studies have that would be super-relevant when discussing those, but somehow when they’re pro-ivermectin the site forgets to be this thorough. I think a better pro-ivermectin response to this study is to point out that all the trends support ivermectin. Symptoms took 10 days to resolve in the ivermectin group vs. 12 in placebo; 4 ivermectin patients were hospitalized vs. 6 placebo patients, etc. Just say that this was an unusually noisy trial because of the self-report methodology, and you’re confident that these small differences will add up to significance when you put them into a meta-analysis. Roy et al: We’re back in East India, and back to non-randomized trials. 56 patients were retrospectively examined; some had been given ivermectin + doxycycline, others hydroxychloroquine, other azithromycin, and others symptomatic treatment only. We don’t get any meaningful information about how this worked, but we are told that they did not differ in “clinical well-being reporting onset timing”. Whatever. Chahla et al: The first of many Argentine trials. 110 patients received medium-dose ivermectin; 144 were kept as a control (no placebo). This was “cluster randomized”, which means they randomize different health centers to either give the experimental drug or not. This is worse than regular randomization, because there could be differences between these health centers (eg one might have better doctors who otherwise give better treatment, one might be in the poor part of town and have sicker patients, etc). They checked to see if there were any differences between the groups, and it sure looks like there were (the experimental group had twice as many obese people as the controls), but as per them, these differences were not statistically significant. Note that if this did make a difference, it would presumably make ivermectin look worse, not better. The primary outcome was given as “increase discharge from outpatient care with COVID-19 mild disease”. This favored the treatment; only 2/110 patients in the ivermectin group failed to be discharged, compared to 20 patients in the control group. But, uh, these were at different medical centers. Can’t different medical centers just have different discharge policies? One discharges you as soon as you seem to be getting better, the other waits to really make sure? This is an utterly crap endpoint to do a cluster randomized controlled trial on. If you’re going to do cRCT, which is never a great idea, you should be using some extremely objective endpoint that doctors and clinic administrators can’t possibly affect, like viral load according to some third-party laboratory, using the same third-party laboratory for both clinics. This is such a bad idea that I can’t help worrying I’m missing or misunderstanding something. If not, this is dumb and bad and should be ignored. Mourya et al: We’re back in India. This is a nonrandomized study comparing 50 patients given ivermectin to 50 patients given hydroxychloroquine. No primary outcome was named, but they focus on PCR negativity. Only 6% of patients in the hydroxychloroquine group were negative, compared to 90% of patients in the ivermectin group! On what day did they do the test? Uh, kind of random, and they admit that “in [the hydroxychloroquine group], mean time difference from the date of initiation of treatment and second test was significantly longer (7.24±2.75 days) as compared to 5.22±1.21 days in [the ivermectin group] (p=0.021).” Since they assessed these groups at different times, we shouldn’t draw any conclusions from them getting different results. Except that as far as I can tell this should handicap ivermectin, making it especially impressive that it did better. But also, the ivermectin group was made mostly of people who had been asymptomatic at the beginning (70%), and the hydroxychloroquine group had almost no asymptomatic cases (8%) . They were giving the ivermectin to healthy people and the hydroxychloroquine to sick people! They admit deep in the discussion that this “may be a confounding factor”. So basically they got totally different groups of people, tested them at totally different times, and the two sets of test results differed. So what? So this is why normal people do RCTs instead of whatever the heck this is, that’s what. Loue et al: …this one isn’t going to be an RCT either. Loue tells a story about a cluster of COVID cases at the French nursing home where he works. He asked people if they wanted to try ivermectin; 10 did and 15 didn’t. 1 ivermectin patient died, compared to 5 non-ivermectin patients. The non-ivermectin group looked a bit sicker than the ivermectin group in the inevitable Table 1, though it’s hard to tell. One interesting possible confounder (not mentioned, but I’m imagining it) is that demented patients probably couldn’t consent to ivermectin and ended up in the control group. This is another case of “I’m not going to trust anything that isn’t an RCT”. Merino et al: Another (sigh) non-RCT. Mexico City tried a public health program where if you called a hotline and said you had COVID, they sent you an emergency kit with various useful supplies. One of those supplies was ivermectin tablets. 18,074 people got the kit (and presumably some appreciable fraction took the ivermectin, though there’s no way to prove that). Their control group is people from before they started giving out the kits, people from after they stopped giving out the kits, and people who didn’t want the kits. There are differences in who got COVID early in the epidemic vs. later, and in people who did opt for medical kits vs. didn’t. To correct these, the researchers tried to adjust for confounders, something which - as I keep trying to hammer home again and again - never works. They found that using the kit led to a 75% or so reduction in hospitalization, though they were unable to separate out the ivermectin from the other things in the kit (paracetamol and aspirin), or from the placebo effect of having a kit and feeling like you had already gotten some treatment (if I understand right, the decision to go to the hospital was left entirely to the patient). I think this study is a moderate point in favor of giving people kits in order to prevent hospital overcrowding, but I’m not willing to accept that it tells us much about ivermectin in particular. Faisal et al: This one was published in The Professional Medical Journal (mispelled as “Profesional Medical Journal” in its URL), so you know it’s going to be good! It describes itself as “a cross-sectional study”, but later says it “randomized patients into two groups”, which would make it an RCT - I think they might just be using the term “cross-sectional” different from the standard American usage. A hospital in Pakistan got 50 patients on ivermectin + azithromycin, and another 50 on azithromycin alone. Primary outcome was not mentioned, and the data were presented confusingly, but a typical result is that only 4% of the ivermectin group had symptoms lasting more than 10 days, whereas 16% of the control group did, p < 0.01. They do a really weird thing where they compare how long it took symptoms to resolve between IVM and control groups within each bin. That is, if I’m understanding correctly, they ask “of the people who took between 3-5 days for symptoms to resolve, did they resolve faster for IVM or control?”. This is an utterly bizarre analysis to perform, although it doesn’t affect the fact that their other results still seem to favor ivermectin. Maybe I’m confused about what’s going on here. I’ve mostly been letting people off easy on no placebo, but I as far as I can tell (not very far) this paper seems to be going off whether patients reported continuing to have symptoms to the hospital doing the study, and I think that is potentially susceptible to placebo effects. Additionally, there’s no preregistration, and even though they talk a lot about doing PCR tests they don’t present the results. This is by no means the worst study here but I still think it’s pretty low quality and I don’t trust it. Aref et al: This one is published in the International Journal Of Nanomedicine, even though I’m pretty sure that isn’t a real thing. In this case the “nanomedicine” is a new nasal spray version of ivermectin which is so confusing I cannot for the life of me figure out what dose they are giving these patients. This Egyptian study gives 57 patients intranasal ivermectin plus hydroxychloroquine, azithromycin, oseltamavir, and some vitamins; another 57 patients get all that stuff except the ivermectin. Primary outcome is not stated, but they look at various symptoms, all of which look better in the ivermectin group: 95% of ivermectin patients got negative PCRs at some time point, compared to 75% of controls, p = 0.004. I am pretty suspicious of this study, not least because it comes from Egypt which has an awful reputation for fake studies, and it returns extreme results that I wouldn’t expect even if ivermectin was actually a wonder drug. But I cannot find any particular thing wrong with it, nor did anyone else I looked at, so I will grudgingly let it stand. Krolewiecki et al: Another Argentine study. This one is a real RCT. 30 patients received ivermectin, 15 were the control group (no placebo, again). Primary outcome was difference in viral load on day 5. The trend favored ivermectin but it was not statistically significant, although they were able to make it statistically significant if they looked at a subset of higher-IVM-plasma-concentration patients. They did not find any difference in clinical outcomes. A pro-ivermectin person could point out that in the subgroup with the highest ivermectin concentrations, the drug seemed to work. A skeptic could point out that this is exactly the kind of subgroup slicing that you are not supposed to do without pre-registering it, which I don’t think this team did. I agree with the skeptic. Vallejos et al: Another Argentine study. It’s big (250 people in each arm). It’s an RCT. It tries to define a primary outcome (“Primary outcome: the trial ended when the last patient who was included achieved the end of study visit”), but that’s not what “primary outcome” means, and they don’t offer an alternative. Other outcomes: no difference in PCR on days 3 or 12. Hospitalization is nonsignificantly better in the ivermectin group (14 vs. 21, p = 0.2), but death is nonsigificantly better in the placebo group (3 vs. 4, p = 0.7). This isn’t even the kind of nonsignificant that might contribute to an exciting meta-analysis later. This is just a pure null result. I cannot find any problem with this study, and neither can anyone else I checked. This is the biggest RCT we’ve seen so far, so we should take it seriously. TOGETHER Trial: Speaking of big RCTs… This one hasn’t been published yet. There’s a video of a talk about it, but I am not going to watch it, because it is a video, so I am getting information secondhand from eg here. Apparently, it compares 677 people (!) randomized to ivermectin to 678 people randomized to placebo. 86 ivermectin patients ended up in the hospital compared to 95 placebo patients, p-value not significant. This was a really big professional trial done by bigshot researchers from a major Canadian university, and the medical establishment is taking it much more seriously than any of these others. When it comes out, it will probably get published in a top journal. When discussing Lopez-Medina, I wrote: When people say things like “sure, a lot of small studies show good results for ivermectin, but the bigger and more professional trials don’t”, this is one of the two big professional trials they’re talking about. This is the other one. Not coincidentally, it’s also the other trial that ivmmeta.com has a warning letter underneath telling you to disregard. Their main concern is that instead of truly randomizing patients to ivermectin vs. placebo, they did a time-dependent randomization that meant during some weeks more patients were getting one or the other. This is a problem because the trial takes place in Brazil, where different variants were more common at different times. Here’s their image: On the one hand, I have immense contempt for ivmmeta for letting all those other awful studies pass and then pulling out all the stops to try to nitpick this one. I have no idea if their proposed randomization failure really happened. And no doubt the reason they’re even able to investigate this is that this study is really careful and transparent - most of them don’t tell you anything about their randomization method. I would be shocked if other studies don’t have all these problems and worse. On the other hand, the point isn’t to be fair, it’s to be right. And this is a potential confounder. Not a huge one. But a potential one. I guess all we can do is try to bound the damage. Even if the confounding is 100% real and bad, there’s no way to make this study consistent with the crazy super-pro-ivermectin results of studies like Espitia-Hernandez and Aref. And even if we deny any confounding, we see the same slight pro-ivermectin trend - 86 hospitalizations vs. 95 - that we’ve seen in so many other studies. Nothing is going to make me believe that this isn’t in the top 33% of studies we’ve been looking at, so let’s add it as grist for the meta-analysis (though maybe not quite as much grist as its vast size indicates) and move on, angrily. Buonfrate et al: An Italian RCT. Patients were randomized into low-dose ivermectin (32), placebo (29), or high-dose ivermectin (32). Primary outcome was viral load on day 7. There was no significant difference (average of 2 in ivermectin groups, 2.2 in placebo group). They admit that they failed to reach the planned sample size, but did a calculation to show that even if they had, the trial could not have returned a positive result. Clinically, an average of 2 patients were hospitalized in each of the ivermectin arms, compared to 0 in the placebo arm - which bucks our previously-very-constant pro-ivermectin trend. Mayer et al: Not an RCT. Patients in an Argentine province were offered the opportunity to try ivermectin; 3266 said yes and become the experimental group, 17966 said no and became the control group. There were many obvious differences between the groups, but they all seemed to handicap ivermectin. There was a nonsignificant trend toward less hospitalization and significantly less mortality (1.5% vs. 2.1%, p = 0.03). While looking into this study, I learned the term “immortal time bias”. This means a period in between selection for the study and the beginning of study recording where patient outcomes are not counted. I think the problem here is that if you signed up for the system on Day X, and if you got sick before they could give you ivermectin, you were in the control group. See this Twitter thread, I have not confirmed everything he says. This only hardens my resolve to stay away from non-RCTs. Borody et al: Our last paper! …is it a paper? I can’t find it published anywhere. It mostly seems to be on news sites. Doesn’t look peer-reviewed. And it starts with “Note that views expressed in this opinion article are the writer’s personal views”. Whatever. 600 Australians were treated with ivermectin, doxycycline, and zinc. The article compares this to an “equivalent control group” made of “contemporary infected subjects in Australia obtained from published Covid Tracking Data”; this is not how you control group, @#!% you. Then it gets excited about the fact that most patients had better symptoms at the end of the ten-day study period than the beginning (untreated COVID resolves in about ten days). Why are these people wasting my time with this? Let’s move on. The Analysis If we remove all fraudulent and methodologically unsound studies from the table above, we end up with this: Gideon Meyerowitz-Katz, who investigated many of the studies above for fraud, tried a similar exercise. I learned about his halfway through, couldn’t help seeing it briefly, but tried to avoid remembering it or using it when generating mine (also, I did take the result of his fraud investigations into account), so they should be considered not quite independent efforts. His looks like this: He nixed Chowdhury, Babaloba, Ghauri, Faisal, and Aref, but kept Szenta Fonseca, Biber (?), and Mayer. There was correlation of 0.45, which I guess is okay. I asked him about his decision-making, and he listed a combination of serious statistical errors and small red flags adding up. I was pretty uncomfortable with most of these studies myself, so I will err on the side of severity, and remove all studies that either I or Meyerowitz-Katz disliked. We end up with the following short list: We’ve gone from 29 studies to 11, getting rid of 18 along the way. For the record, we eliminated 2/19 for fraud, 1/19 for severe preregistration violations, 10 for methodological problems, and 6 because Meyerowitz-Katz was suspicious of them. …but honestly this table still looks pretty good for ivermectin, doesn’t it? Still lots of big green boxes. Meyerowitz-Katz accuses ivmmeta of cherry-picking what statistic to use for their forest plot. That is, if a study measures ten outcomes, they sometimes take the most pro-ivermectin outcome. Ivmmeta.com counters that they used a consistent and reasonable (if complicated) process for choosing their outcome of focus, that being: If studies report multiple kinds of effects then the most serious outcome is used in calculations for that study. For example, if effects for mortality and cases are both reported, the effect for mortality is used, this may be different to the effect that a study focused on. If symptomatic results are reported at multiple times, we used the latest time, for example if mortality results are provided at 14 days and 28 days, the results at 28 days are used. Mortality alone is preferred over combined outcomes. Outcomes with zero events in both arms were not used (the next most serious outcome is used — no studies were excluded). For example, in low-risk populations with no mortality, a reduction in mortality with treatment is not possible, however a reduction in hospitalization, for example, is still valuable. Clinical outcome is considered more important than PCR testing status. When basically all patients recover in both treatment and control groups, preference for viral clearance and recovery is given to results mid-recovery where available (after most or all patients have recovered there is no room for an effective treatment to do better). If only individual symptom data is available, the most serious symptom has priority, for example difficulty breathing or low SpO2 is more important than cough. I’m having trouble judging this, partly because Meyerowitz-Katz says ivmmeta has corrected some earlier mistakes, and partly because there really is some reasonable debate over how to judge studies with lots of complicated endpoints. By this point I had completely forgotten what ivmmeta did, so I independently coded all 11 remaining studies following something in between my best understanding of their procedure and what I considered common sense. The only exception was that when the most severe outcome was measured in something other than patients (ie average number of virus copies per patient), I defaulted to one that was measured in patients instead, to keep everything with the same denominator. My results mostly matched ivmmeta’s, with one or two exceptions that I think are within the scope of argument or related to my minor deviations from their protocol. Placebo vs. ivermectin groups sometimes differed in size, which I’ve adjusted for and rounded off. Probably I’m forgetting some reason I can’t just do simple summary statistics to this, but whatever. It is p = 0.15, not significant. This is maybe unfair, because there aren’t a lot of deaths in the sample, so by focusing on death rather than more common outcomes we’re pointlessly throwing away sample size. What happens if I unprincipledly pick whatever I think the most reasonable outcome to use from each study is? I’ve chosen “most reasonable” as a balance between “is the most severe” and “has a lot of data points”: Now it’s p = 0.04, seemingly significant, but I had to make some unprincipled decisions to get there. I don’t think I specifically replaced negative findings with positive ones, but I can’t prove that even to myself, let alone to you. [UPDATE 5/31/22: A reader writes in to tell me that the t-test I used above is overly simplistic. A Dersimonian-Laird test is more appropriate for meta-analysis, and would have given 0.03 and 0.005 on the first and second analysis, where I got 0.15 and 0.04. This significantly strengthens the apparent benefit of ivermectin from ‘debatable’ to ‘clear’. I discuss some reasons below why I am not convinced by this apparent benefit.] (how come I’m finding a bunch of things on the edge of significance, but the original ivmmeta site found a lot of extremely significant things? Because they combined ratios, such that “one death in placebo, zero in ivermectin” looked like a nigh-infinite benefit for ivermectin, whereas I’m combining raw numbers. Possibly my way is statistically illegitimate for some reason, but I’m just trying to get a rough estimate of how convinced to be) So we are stuck somewhere between “nonsignificant trend in favor” and “maybe-significant trend in favor, after throwing out some best practices”. This is normally where I would compare my results to those of other meta-analyses made by real professionals. But when I look at them, they all include studies later found to be fake, like Elgazzar, and unsurprisingly come up with wildly positive conclusions. There are about six in this category. One of them later revised their results to exclude Elgazzar and still found strong efficacy for ivermectin, but they still included Niaee and some other dubious studies. The only meta-analysis that doesn’t make these mistakes is Popp (a Cochrane review), which is from before Elgazzar was found to be fraudulent, but coincidentally excludes it for other reasons. It also excludes a lot of good studies like Mahmud and Ravakirti because they give patients other things like HCQ and azithromycin - I chose to include them, because I don’t think they either work or have especially bad side effects, so they’re basically placebo - but Cochrane is always harsh like this. They end up with a point estimate where ivermectin cuts mortality by 40% - but say the confidence intervals are too wide to draw any conclusion. I think this basically agrees with my analyses above - the trends really are in ivermectin’s favor, but once you eliminate all the questionable studies there are too few studies left to have enough statistical power to reach significance. Except that everyone is still focusing on deaths and hospitalizations just because they’re flashy. Mahmud et al, which everyone agrees is a great study, found that ivermectin decreased days until clinical recovery, p = 0.003? So what do you do? This is one of the toughest questions in medicine. It comes up again and again. You have some drug. You read some studies. Again and again, more people are surviving (or avoiding complications) when they get the drug. It’s a pattern strong enough to common-sensically notice. But there isn’t an undeniable, unbreachable fortress of evidence. The drug is really safe and doesn’t have a lot of side effects. So do you give it to your patients? Do you take it yourself? Here this question is especially tough, because, uh, if you say anything in favor of ivermectin you will be cast out of civilization and thrown into the circle of social hell reserved for Klan members and 1/6 insurrectionists. All the health officials in the world will shout “horse dewormer!” at you and compare you to Josef Mengele. But good doctors aren’t supposed to care about such things. Your only goal is to save your patient. Nothing else matters. I am telling you that Mahmud et al is a good study and it got p = 0.003 in favor of ivermectin. You can take the blue pill, and stay a decent respectable member of society. Or you can take the horse dewormer pill, and see where you end up. In a second, I’ll tell you my answer. But you won’t always have me to answer questions like this, and it might be morally edifying to observe your thought process in situations like this. So take a second, and meet me on the other side of the next section heading. … … … … … The Synthesis Hopefully you learned something interesting about yourself there. But my answer is: worms! As several doctors and researchers have pointed out (h/t especially Avi Bitterman and David Boulware), the most impressive studies come from places that are teeming with worms. Mahmud from Bangladesh, Ravakirti from East India, Lopez-Medina from Colombia, etc. Here’s the prevalence of roundworm infections by country (source). But alongside roundworms, there are threadworms, hookworms, blood flukes, liver flukes, nematodes, trematodes, all sorts of worms. Add them all up and somewhere between half and a quarter of people in the developing world have at least one parasitic worm in their body. Being full of worms may impact your ability to fight coronavirus. Gluchowska et al write: Helminth [ie worm] infections are among the most common infectious diseases. Bradbury et al. highlight the possible negative interactions between helminth infection and COVID-19 severity in helminth-endemic regions and note that alterations in the gut microbiome associated with helminth infection appear to have systemic immunomodulatory effects. It has also been proposed that helminth co-infection may increase the morbidity and mortality of COVID-19, because the immune system cannot efficiently respond to the virus; in addition, vaccines will be less effective for these patients, but treatment and prevention of helminth infections might reduce the negative effect of COVID-19. During millennia of parasite-host coevolution helminths evolved mechanisms suppressing the host immune responses, which may mitigate vaccine efficacy and increase severity of other infectious diseases. Treatment of worm infections might reduce the negative effect of COVID-19! And ivermectin is a deworming drug! You can see where this is going… The most relevant species of worm here is the roundworm Strongyloides stercoralis. Among the commonest treatments for COVID-19 is corticosteroids, a type of immunosuppresant drug. The types of immune responses it suppresses do more harm than good in coronavirus, so turning them off limits collateral damage and makes patients better on net. But these are also the types of immune responses that control Strongyloides. If you turn them off even very briefly, the worms multiply out of control, you get what’s called “Strongyloides hyperinfection”, and pretty often you die. According to the WHO: The current COVID-19 pandemic serves to highlight the risk of using systemic corticosteroids and, to a lesser extent, other immunosuppressive therapy, in populations with significant risk of underlying strongyloidiasis. Cases of strongyloidiasis hyperinfection in the setting of corticosteroid use as COVID-19 therapy have been described and draw attention to the necessity of addressing the risk of iatrogenic strongyloidiasis hyperinfection syndrome in infected individuals prior to corticosteroid administration. Although this has gained importance in the midst of a pandemic where corticosteroids are one of few therapies shown to improve mortality, its relevance is much broader given that corticosteroids and other immunosuppressive therapies have become increasingly common in treatment of chronic diseases (e.g. asthma or certain rheumatologic conditions). So you need to “address the risk” of strongyloides infection during COVID treatment in roundworm-endemic areas. And how might you address this, WHO? Treatment of chronic strongyloidiasis with ivermectin 200 µg/kg per day orally x 1-2 days is considered safe with potential contraindications including possible Loa loa infection (endemic in West and Central Africa), pregnancy, and weight <15kg. Given ivermectin’s safety profile, the United States has utilized presumptive treatment with ivermectin for strongyloidiasis in refugees resettling from endemic areas, and both Canada and the European Centre for Disease Prevention and Control have issued guidance on presumptive treatment to avoid hyperinfection in at risk populations. Screening and treatment, or where not available, addition of ivermectin to mass drug administration programs should be studied and considered. This is serious and common enough that, if you’re not going to screen for it, it might be worth “add[ing] ivermectin to mass drug administration programs” in affected areas! Dr. Avi Bitterman carries the hypothesis to the finish line: First two images are with all relevant studies; second two are a sensitivity analysis that removes some of the most dubious. The good ivermectin trials in areas with low Strongyloides prevalence, like Vallejos in Argentina, are mostly negative. The good ivermectin trials in areas with high Strongyloides prevalence, like Mahmud in Bangladesh, are mostly positive. Worms can’t explain the viral positivity outcomes (ie PCR), but Dr. Bitterman suggests that once you remove low quality trials and worm-related results, the rest looks like simple publication bias: This is still just a possibility. Maybe I’m over-focusing too hard on a couple positive results and this will all turn out to be nothing. Or who knows, maybe ivermectin does work against COVID a little - although it would have to be very little, fading to not at all in temperate worm-free countries. But this theory feels right to me. It feels right to me because it’s the most troll-ish possible solution. Everybody was wrong! The people who called it a miracle drug against COVID were wrong. The people who dismissed all the studies because they F@#king Love Science were wrong. Ivmmeta.com was wrong. Gideon Meyerowitz-Katz was…well, he was right, actually, I got the worm-related meta-analysis graphic above from his Twitter timeline. Still, an excellent troll. Also, the best part is that I ignorantly asked, in my description of Mahmud et al above: And it was! It was a fluke! A literal, physical, fluke! For my whole life, God has been placing terrible puns in my path to irritate me, and this would be the worst one ever! So it has to be true! The Scientific Takeaway About ten years ago, when the replication crisis started, we learned a certain set of tools for examining studies. Check for selection bias. Distrust “adjusting for confounders”. Check for p-hacking and forking paths. Make teams preregister their analyses. Do forest plots to find publication bias. Stop accepting p-values of 0.049. Wait for replications. Trust reviews and meta-analyses, instead of individual small studies. These were good tools. Having them was infinitely better than not having them. But even in 2014, I was writing about how many bad studies seemed to slip through the cracks even when we pushed this toolbox to its limits. We needed new tools. I think the methods that Meyerowitz-Katz, Sheldrake, Heathers, Brown, Lawrence and others brought to the limelight this year are some of the new tools we were waiting for. Part of this new toolset is to check for fraud. About 10 - 15% of the seemingly-good studies on ivermectin ended up extremely suspicious for fraud. Elgazzar, Carvallo, Niaee, Cadegiani, Samaha. There are ways to check for this even when you don’t have the raw data. Like: The Carlisle-Stouffer-Fisher method: Check some large group of comparisons, usually the Table 1 of an RCT where they compare the demographic characteristics of the control and experimental groups, for reasonable p-values. Real data will have p-values all over the map; one in every ten comparisons will have a p-value of 0.1 or less. Fakers seem bad at this and usually give everything a nice safe p-value like 0.8 or 0.9.
Inline links: Lopez-Medina et al:, Roy et al:, Chahla et al:, Mourya et al:, Loue et al:, Table 1, Merino et al:, never works, Faisal et al:, Aref et al:, https://substackcdn.com/image/fetch/$s_!-FoK!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Ff6de79b6-091b-4c13-b7be-715c9bb194a7_986x810.jpeg, Krolewiecki et al:, Vallejos et al:, TOGETHER Trial:, here, https://substackcdn.com/image/fetch/$s_!7X0m!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F1f65fd44-58b9-4489-a934-02a5a7330499_706x768.png, Buonfrate et al:, Mayer et al:, immortal time bias, this Twitter thread, Borody et al:, https://substackcdn.com/image/fetch/$s_!Wpjs!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F2d8a451b-b1fc-44e5-ae67-b1506e491762_914x657.png, https://substackcdn.com/image/fetch/$s_!DOjA!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F17d5827a-38da-4a99-beb3-c3018df5c633_920x604.png, https://substackcdn.com/image/fetch/$s_!GX1n!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fc692fec8-a450-4579-b337-c72bec060970_912x298.png, https://substackcdn.com/image/fetch/$s_!YcH4!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Ff36db98e-e653-44da-906c-20312b1689a3_468x205.png, https://substackcdn.com/image/fetch/$s_!jbcL!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fd189a844-daf2-4199-bb2e-830d4fc64415_468x206.png, later revised their results to exclude Elgazzar, Popp, https://substackcdn.com/image/fetch/$s_!2B6r!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F505c5ac4-3fe8-47a4-8505-dab80601b44d_416x198.png, Avi Bitterman, David Boulware, https://substackcdn.com/image/fetch/$s_!JWWh!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fac9e4f34-f9cc-40f2-9d83-da4e7178fad7_772x330.png, source, Gluchowska et al, the WHO, carries, https://substackcdn.com/image/fetch/$s_!xExE!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F5da21781-249c-4e59-b616-9f23d83cc044_2048x1184.jpeg, https://substackcdn.com/image/fetch/$s_!4SMr!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fdcd6e4b2-37f7-4602-93d5-2581c3b27a60_700x432.png, https://substackcdn.com/image/fetch/$s_!-6n2!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F7fd6e8f4-093e-4e02-bce7-363615146c9c_2228x1346.jpeg, https://substackcdn.com/image/fetch/$s_!CPZs!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fb0425847-198a-4bd3-a63b-149f15d147ba_700x432.png, https://substackcdn.com/image/fetch/$s_!H3rK!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F9972491b-25b0-4c06-8aca-86fce102ae63_666x147.png, even in 2014, The Carlisle-Stouffer-Fisher method
I have no idea what you can and can’t do with cybernetic implants, and it seems totally possible they could mind control me or something. All of these come down to a more basic problem, which is that these are hostile aliens. Let’s start with the second word first. Because they’re alien, I can’t trust they’re on my side. Because they’re alien, their predictions feel like a black box. I don’t know if their previous predictions were 50% confidence or 99% confidence, or whether the stupid aliens made the last few predictions but it’s the smart aliens making this new prediction, or whether they’re even telling the truth when they describe previously fighting this plague on their homeworld and learning best practices. Because they’re alien, all the words they use like “quantum memetic plague” and “brain implant” feel not only beyond my understanding, but unfairly beyond my understanding, something that neither I nor anyone I trust could ever double-check. And because they’re alien, I have no idea how their technology works, and it could do all sorts of sinister things. I’m not an immunologist. I don’t have the specific expertise it would take to evaluate whether vaccines work. But one of my friends in medical school decided to do a joint MD-PhD in immunology. I didn’t follow her lead, because I didn’t want to spend my entire twenties and thirties in soul-sucking research labs trying to remember thirty different kinds of interleukins. But when I ask myself “why am I not an immunologist?” the answer is something like “because I dislike intense misery” and not “because immunologists are an alien species and I cannot possibly imagine myself becoming one”. More generally, I come from a social class where becoming an immunologist is considered a reasonable thing that might happen. Several of my friends and family members are experts in various fields (even for very loose definitions of “expert” like a really excellent social worker who other social workers trust). Even more generally, I know some basics of biology. I know why vaccines should work in theory. I know that even if somebody wanted to control you by sneaking a microchip into a vaccine, that’s impossible with current technology. I know enough about politics and economics to know it’s really unlikely that some cabal of elites has developed super-futuristic technology in secret. And I know a lot of smart people who I could ask these questions to if I were confused, and they could tell me all the stuff above. John Steinbeck said that socialism never took root in America because even the poor see themselves as “temporarily-embarrassed millionaires” rather than as members of the class of Poor People. If you’re Poor People, and they’re Rich People, maybe you’re on opposite sides and should fight. If you’re temporarily-embarrassed millionaires, and they’re normal millionaires, maybe you’re on the same side and you can trust them. In the same way, I think of myself as a temporarily-embarrassed immunologist. I don’t know all the interleukins. But I would like to believe that if I really wanted, either I or at least people I know and trust could learn immunology to a standard where we could double-check the work of the vaccine scientists. I’ve written before about filter bubbles. About half of Americans are young-earth creationists. I have nothing against these people, I don’t deliberately ostracize them - yet none of my closest hundred friends are in this category. There’s about an 0.5^100 = 10^-31 chance that would happen by coincidence. Some powerful combination of class, cultural, and geographic barriers prevent me from meeting them. Imagine someone with an equally strong bubble filtering against scientists. Such a person wouldn’t feel like a temporarily-embarrassed immunologist. They would feel like immunologists are some sort of dark and terrible figures from a shadow dimension they could never reach. They would seem like aliens. And now let’s return to that first word, “hostile”. 95% of biology professors are Democrats. Plus medical organizations keep rubbing more and more salt in the wound. If you’re a conservative, or even have conservative tendencies, these aliens surely qualify as suspicious and probably anti-Earthling. “99% of hostile aliens agree: vaccines are right for you!” Now we’re back to it not sounding so convincing. In a world where scientists seemed like hostile aliens, I would hesitate to take the vaccine. Again, ivermectin optimism isn’t exactly like vaccine denialism - it’s a less open-and-shut question, you can still make a plausible argument for it. But it’s some of the same people and follows the same dynamics. If we want to make people more willing to get vaccines, or less willing to take ivermectin, we have to make the scientific establishment feel less like an enclave of hostile aliens to half the population. Do that, and people will mostly take COVID-related advice, for the same reason they mostly take advice around avoiding asbestos or using sunscreen - both things we’ve successfully convinced people to do even without having a perfect encapsulation of the scientific method or the ideal balance between evidence and authority. But I don’t really know how to do that, and any speculation would be too political even for a section titled “The Political Takeaway”. The Summary Ivermectin doesn’t reduce mortality in COVID a significant amount (let’s say d > 0.3) in the absence of comorbid parasites: 85-90% confidence
These are still preliminary; this person argues that the Nationalists might pick up a few more seats as more conservative rural areas get counted. Liberty and Refoundation (the socialists) will probably enter into a coalition with the Savior Party and have 65/128 seats for a bare majority. They need 86 votes for a 2/3 majority, which in theory they can get if the Liberal Party agrees. The Liberal Party seems centrist and hard to pin down, but this article includes the following great quote: “The Liberal Party opposes the ZEDEs because, above all, they undercut our national sovereignty, and because we don’t want them to become hideouts for extraditable criminals,” said [Liberal Party leader Yani] Rosenthal, who served a three-year prison sentence in the United States for money laundering and participating in a criminal scheme with the Los Cachiros cartel. Rosenthal kind of goes back and forth elsewhere, but in the end I think he’ll vote with the socialists on this. Still, there’s some speculation that his party might not vote as a bloc, and even a few defectors would be enough to prevent a supermajority. In theory, even if the socialists win two consecutive votes, they have to give the projects ten years to wind down. Ten years is forever in politics, and probably before then the capitalists will get back into power and say never mind, everyone can keep doing what they’re doing. The socialists are aware of this and say that their supplementary strategy is to have everything about the ZEDE law declared unconstitutional. This should be a hard sell, because ZEDEs are a constitutional amendment, plus the current Supreme Court explicitly ruled a few years ago that they were constitutional. But apparently the Honduran Supreme Court can declare constitutional amendments unconstitutional if it really wants. And the new government will get to appoint a new Supreme Court in two years, and although the exact process is complicated, they may be able to get people who agree with them on this. Also, incoming president Castro is married to Manuel Zelaya, a former president who tried to pull an Andrew Jackson after the Supreme Court ordered him to stop holding an illegal referendum to change term limits in his favor. He ordered the military to hold the referendum anyway, and was only ousted after the military couped him instead. So this is not exactly a family known for their deep respect for the exact wordings of laws or court rulings (not that anyone in Honduras has really excelled on that front). See further speculation eg here and here. And here’s Mark Lutter from Charter Cities Institute on the elections and the future. Conchagua Volcano, El Salvador Meanwhile, insane El Salvadorean president Nayib Bukele says he is ordering the construction of a coin-shaped city dedicated to Bitcoin at the base of a stratovolcano: "Residential areas, commercial areas, services, museums, entertainment, bars, restaurants, airport, port, rail - everything devoted to Bitcoin," the 40-year-old said. And: The president, who appeared on stage wearing a baseball cap backwards, said that no income taxes would be levied in the city, only value added tax (VAT). He said that half of the revenue gained from this would be used to "to build up the city", while the rest would be used to keep the streets "neat and clean" […] Mr Bukele did not provide dates for construction or completion of the city, but said he estimated that much of the public infrastructure would cost around 300,000 Bitcoins. It’s tempting to dismiss this plan as crazy. First, this photo: Second, Bitcoin miners don’t want a city the shape of a Bitcoin with a central plaza in the shape of a Bitcoin logo. They want cheap electricity. Bukele has promised that there will be cheap geothermal power from the volcano, which sounds good, but this article says El Salvador’s existing geothermal energy costs about 12 cents/kilowatt-hour, much higher than the 4 cents/megawatt-hour miners can get in the current cheapest areas. Maybe El Salvador could do a really good job upgrading their energy infrastructure, but at some point you’re subsidizing this rather than using it as a cash cow. And third, this isn’t even the stupidest plan to build a cryptocurrency-themed city in the Third World. That arguably goes to Akon City, a thing where a pop singer named Akon was going to build a cryptocurrency city in Senegal. Now, without any construction having started, they’re planning to build a second one in Uganda! All competing for the same handful of crypto companies! But I looked into Bukele to see if he was a moron with a habit of coming up with terrible ideas. It seems like no. He rose from nothing to become El Salvador’s first outside-the-traditional-party-system president, and has an approval rating of around 90%. And apparently he’s presided over a historic drop in the homicide rate of this previously murder-capital-of-the-world country. Although I’m betting that one day he’ll make a great Dictator Book Club entry, I’m prepared to give him the benefit of the doubt on “doesn’t do stupid things for no reason” What’s the non-stupid explanation for this? Maybe it’s supposed to be a signal. You can give up 5% of the way through, but even trying to build a Bitcoin-shaped city at least shows very conclusively that you’ve got a crypto-friendly regulatory climate, so many easily-spooked crypto companies will flock to you. This makes sense in the context of big crypto companies moving to the Caribbean for regulatory reasons, eg FTX moving to the Bahamas and Binance moving to the Cayman Islands. But if I understand correctly, both of these companies make on the order of $1 billion a year. If El Salvador can tax them at 5% (dubious, since a big part of promising a friendly regulatory climate is low taxes), that’s still only $100 million if they can capture both of them. Which they can’t, because these companies seem happy where they are. And I don’t think there are a lot of similarly-sized crypto companies looking for Central American homes that I don’t know about. And even though El Salvador is pretty poor, it’s not so poor that $100 million is worth embarrassing themselves over. So I’m stumped. EDIT: See this comment. Praxis, aka Bluebook Cities, the Internet Speaking of stumped, who are these people? Right now, they’re a web page with a lot of buzz promising the City Of The Future, in very poetic language: Praxis is a grassroots movement of modern pioneers building a new city. We are technologists and artists, builders and dreamers. We are building a place where we can develop to our fullest potentials, physically, culturally, and spiritually. Bitcoin was developed as a financial technology with political goals identical to those of the Founding Fathers: liberation. The ultimate end of crypto is the possibility of a future for humanity unshackled from the institutions that seek to limit our growth. Our ultimate goal is to bring about a more vital future for humanity, and we will use technology to achieve this righteous end. Our civilization is unwell. We eat food that kills us, we’ve lost sight of beauty, and we neglect our spiritual lives. The world is deranged and decayed, and this frightens people. We don’t look up from our screens; we seek to live within them. Crypto is a fundamentally political technology -- escape to the metaverse is a betrayal of the principles on which it was founded. We are descended from the people who built Rome and Athens, who dared to split atoms and voyage to the Moon. We can build new worlds not just of bits, but of atoms. But where is this city? What will its policies be? As we leave old lands, our values are our compass. Like wolves, tribes of pioneers are muscular by necessity. For voyaging tribes to settle, they must perform murmurations: intricate coordination with little communication, at scale. This is only possible with a strong sense of asabiyya (group feeling derived from deeply-held shared values). Our values inform the destiny we desire, and for which we struggle. Asabiyya is forged in this struggle. With asabiyya, pioneers can earn the divine mandate to build a city. Cities are the fount of human ingenuity. In cities, people enjoy their fullest potential by contributing their resources under the auspices of civilization. Who even are you? What experience do you have with city-building? Civilizations rise and fall. All around us, we see civilizational decay. The people are not vital: physically, culturally, spiritually. We live in an era of obesity, remakes, and pollution. We are losing the divine mandate, and in an era of absolute weapons, what’s at stake is everything. But perhaps there’s some glory in death by a light brighter than a thousand suns. A worse fate may await humanity: atrophied bodies submerged in gel, fed synthetic bug paste, minds occupied by the petty amusements of a corporate metaverse. There, nothing is at stake; there are no frontiers to explore; no growth is possible. Nothing to live for, and nothing to die for. As we walk between these twin fates, the light of our civilization dims. But beyond the horizon, we see a new light emerging. Like the sun at dawn, it cannot be stopped. Vitality itself is the foundational value of this new civilizational form, and we have the technology to enact our moral imperative as never before. You’re not answering my…okay, fine, whatever, forget it. As far as I can tell, Praxis is two 25-year-olds with no previous experience, armed with about $10 million in Peter Thiel’s money. Peter Thiel is a smart person known for having good business sense, but he’s also known to have a weakness for young people who dream big and sound like purveyors of esoteric secrets. I wonder if the simplest explanation is just that this is one of the cases where his weakness got the better of his sense, and now these two random people have $10 million earmarked for building a city, and no idea what to do. [CORRECTION: some people involved in Praxis have reached out to tell me that it was $4 million instead of $10 million, and that it was Thiel-backed Pronomos and not Thiel himself. I’ll be getting in touch with them to learn if there are other issues or things I should correct here] But that’s not how they put it! The way they put it is - all previous charter city founders have started by approaching governments and pitching their ideas. But there’s a chicken-and-egg problem: governments don’t want to give land to a purely hypothetical city that might not pan out, and the city can’t pan out until governments give it land. Praxis’ plan is to build the community first, then go to a government saying “Here’s 50,000 people who have agreed to join our city, and lots of businesses and organizations that are excited about it. Please give us land for our guaranteed-success, concretely-existing project.” Now this is a different chicken-and-egg problem: why join a community of people with no land and no plans? Praxis writes: What if we try to draw people to new cities not on an economic basis, but rather on a spiritual one? Which city (or country) founding projects have succeeded that have drawn people on a predominantly non-economic, but rather spiritual basis? Among others, Israel and America. Both groups were oppressed, and sought the freedom to live by their values. Both felt the intangible pull of the frontier. Both had a keen historical instinct. This is how cities with spiritual significance are founded. The correct approach to city building in this new world is demand-first (or as Balaji Srinivasan calls it, Cloud City first). We build the citizenry before the city. First, we create communities of true believers, organized around shared values, online. People move to cities for people, and it follows that if you collect a group of people who all want to live together, they’ll all move together if at a moment in time everyone else does, too. Today, we have new tools. The emergence of Web3 enables us to supercharge communities with self-ownership, governance, and determination. Once you build a community of people ready to move to a new city together, you can self-finance the entire project. With something real to offer nations, conversations with governments become productive (e.g. Gigafactory). That’s how you make the risk dominoes fall. The problem is, Israel worked because it had Judaism. Judaism is a very specific belief. Prospera is specifically libertarian, Telosa is specifically Georgist, and even the Bitcoin-shaped volcano city knows what it’s about. What is Praxis? The use of “atrophied bodies submerged in gel, fed synthetic bug paste” as a warning reads very slightly right-wing to me - there’s a right-wing meme about how the media keeps trying to get people to eat bugs, and how this is the shape our future dystopia will take. But whether I’m right or wrong, the fact that it’s hard to tell is a problem. The only other clues we’re getting are their Discord, which seems to be focused around getting a currency called PRAX for completing tasks. Once you get enough, you can become a Member, which seems to be where the real excitement starts. (source) I’m not even being sarcastic - I expect being a member to be quite fun. I say this because when I was a teenager I was part of a bunch of country simulation projects, some of which got past the inherent nerdiness of being a country simulation project exactly the same way Praxis is doing it - by saying that we were going to become a real country someday, as soon as we were big enough to convince people. These were usually fun and interesting and educational, and I made lots of great like-minded teenage and twenty-something friends. But none of them ever came close to becoming a real country, and I’m not sure it was merely for lack of millions of dollars. I hope I’m wrong and they manage to forge new lands through struggle to uplift the human spirit or whatever. Elsewhere In Model Cities Vitalik Buterin on the intersection between local government and blockchain technologies. He recommends they “start with self-contained experiments, and take things slowly on moves that are truly irreversible”, which is a weird way of saying “what we crypto leaders really want is a city at the base of a volcano, shaped like a giant Bitcoin”.
Inline links: this person, this article, some speculation, here, on the elections and the future, says, https://substackcdn.com/image/fetch/$s_!SuHh!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F20a12676-81c4-49a8-bb20-815d1c3f660b_763x509.jpeg, with a central plaza in the shape of a Bitcoin logo, this article, Akon City, a second one, Bukele, a historic drop in the homicide rate, Dictator Book Club, moving to the Bahamas, moving to the Cayman Islands, this comment, promising the City Of The Future, far as I can tell, the media keeps trying, their Discord, tasks, https://substackcdn.com/image/fetch/$s_!2TK6!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F020ebe08-e968-45cd-ba39-a91cdc6e5892_473x533.png, source, a bunch of country simulation projects, the intersection between local government and blockchain technologies
Second, Bitcoin miners don’t want a city the shape of a Bitcoin with a central plaza in the shape of a Bitcoin logo. They want cheap electricity. Bukele has promised that there will be cheap geothermal power from the volcano, which sounds good, but this article says El Salvador’s existing geothermal energy costs about 12 cents/kilowatt-hour, much higher than the 4 cents/megawatt-hour miners can get in the current cheapest areas. Maybe El Salvador could do a really good job upgrading their energy infrastructure, but at some point you’re subsidizing this rather than using it as a cash cow. And third, this isn’t even the stupidest plan to build a cryptocurrency-themed city in the Third World. That arguably goes to Akon City, a thing where a pop singer named Akon was going to build a cryptocurrency city in Senegal. Now, without any construction having started, they’re planning to build a second one in Uganda! All competing for the same handful of crypto companies! But I looked into Bukele to see if he was a moron with a habit of coming up with terrible ideas. It seems like no. He rose from nothing to become El Salvador’s first outside-the-traditional-party-system president, and has an approval rating of around 90%. And apparently he’s presided over a historic drop in the homicide rate of this previously murder-capital-of-the-world country. Although I’m betting that one day he’ll make a great Dictator Book Club entry, I’m prepared to give him the benefit of the doubt on “doesn’t do stupid things for no reason” What’s the non-stupid explanation for this? Maybe it’s supposed to be a signal. You can give up 5% of the way through, but even trying to build a Bitcoin-shaped city at least shows very conclusively that you’ve got a crypto-friendly regulatory climate, so many easily-spooked crypto companies will flock to you. This makes sense in the context of big crypto companies moving to the Caribbean for regulatory reasons, eg FTX moving to the Bahamas and Binance moving to the Cayman Islands. But if I understand correctly, both of these companies make on the order of $1 billion a year. If El Salvador can tax them at 5% (dubious, since a big part of promising a friendly regulatory climate is low taxes), that’s still only $100 million if they can capture both of them. Which they can’t, because these companies seem happy where they are. And I don’t think there are a lot of similarly-sized crypto companies looking for Central American homes that I don’t know about. And even though El Salvador is pretty poor, it’s not so poor that $100 million is worth embarrassing themselves over. So I’m stumped. EDIT: See this comment. Praxis, aka Bluebook Cities, the Internet Speaking of stumped, who are these people? Right now, they’re a web page with a lot of buzz promising the City Of The Future, in very poetic language: Praxis is a grassroots movement of modern pioneers building a new city. We are technologists and artists, builders and dreamers. We are building a place where we can develop to our fullest potentials, physically, culturally, and spiritually. Bitcoin was developed as a financial technology with political goals identical to those of the Founding Fathers: liberation. The ultimate end of crypto is the possibility of a future for humanity unshackled from the institutions that seek to limit our growth. Our ultimate goal is to bring about a more vital future for humanity, and we will use technology to achieve this righteous end. Our civilization is unwell. We eat food that kills us, we’ve lost sight of beauty, and we neglect our spiritual lives. The world is deranged and decayed, and this frightens people. We don’t look up from our screens; we seek to live within them. Crypto is a fundamentally political technology -- escape to the metaverse is a betrayal of the principles on which it was founded. We are descended from the people who built Rome and Athens, who dared to split atoms and voyage to the Moon. We can build new worlds not just of bits, but of atoms. But where is this city? What will its policies be? As we leave old lands, our values are our compass. Like wolves, tribes of pioneers are muscular by necessity. For voyaging tribes to settle, they must perform murmurations: intricate coordination with little communication, at scale. This is only possible with a strong sense of asabiyya (group feeling derived from deeply-held shared values). Our values inform the destiny we desire, and for which we struggle. Asabiyya is forged in this struggle. With asabiyya, pioneers can earn the divine mandate to build a city. Cities are the fount of human ingenuity. In cities, people enjoy their fullest potential by contributing their resources under the auspices of civilization. Who even are you? What experience do you have with city-building? Civilizations rise and fall. All around us, we see civilizational decay. The people are not vital: physically, culturally, spiritually. We live in an era of obesity, remakes, and pollution. We are losing the divine mandate, and in an era of absolute weapons, what’s at stake is everything. But perhaps there’s some glory in death by a light brighter than a thousand suns. A worse fate may await humanity: atrophied bodies submerged in gel, fed synthetic bug paste, minds occupied by the petty amusements of a corporate metaverse. There, nothing is at stake; there are no frontiers to explore; no growth is possible. Nothing to live for, and nothing to die for. As we walk between these twin fates, the light of our civilization dims. But beyond the horizon, we see a new light emerging. Like the sun at dawn, it cannot be stopped. Vitality itself is the foundational value of this new civilizational form, and we have the technology to enact our moral imperative as never before. You’re not answering my…okay, fine, whatever, forget it. As far as I can tell, Praxis is two 25-year-olds with no previous experience, armed with about $10 million in Peter Thiel’s money. Peter Thiel is a smart person known for having good business sense, but he’s also known to have a weakness for young people who dream big and sound like purveyors of esoteric secrets. I wonder if the simplest explanation is just that this is one of the cases where his weakness got the better of his sense, and now these two random people have $10 million earmarked for building a city, and no idea what to do. [CORRECTION: some people involved in Praxis have reached out to tell me that it was $4 million instead of $10 million, and that it was Thiel-backed Pronomos and not Thiel himself. I’ll be getting in touch with them to learn if there are other issues or things I should correct here] But that’s not how they put it! The way they put it is - all previous charter city founders have started by approaching governments and pitching their ideas. But there’s a chicken-and-egg problem: governments don’t want to give land to a purely hypothetical city that might not pan out, and the city can’t pan out until governments give it land. Praxis’ plan is to build the community first, then go to a government saying “Here’s 50,000 people who have agreed to join our city, and lots of businesses and organizations that are excited about it. Please give us land for our guaranteed-success, concretely-existing project.” Now this is a different chicken-and-egg problem: why join a community of people with no land and no plans? Praxis writes: What if we try to draw people to new cities not on an economic basis, but rather on a spiritual one? Which city (or country) founding projects have succeeded that have drawn people on a predominantly non-economic, but rather spiritual basis? Among others, Israel and America. Both groups were oppressed, and sought the freedom to live by their values. Both felt the intangible pull of the frontier. Both had a keen historical instinct. This is how cities with spiritual significance are founded. The correct approach to city building in this new world is demand-first (or as Balaji Srinivasan calls it, Cloud City first). We build the citizenry before the city. First, we create communities of true believers, organized around shared values, online. People move to cities for people, and it follows that if you collect a group of people who all want to live together, they’ll all move together if at a moment in time everyone else does, too. Today, we have new tools. The emergence of Web3 enables us to supercharge communities with self-ownership, governance, and determination. Once you build a community of people ready to move to a new city together, you can self-finance the entire project. With something real to offer nations, conversations with governments become productive (e.g. Gigafactory). That’s how you make the risk dominoes fall. The problem is, Israel worked because it had Judaism. Judaism is a very specific belief. Prospera is specifically libertarian, Telosa is specifically Georgist, and even the Bitcoin-shaped volcano city knows what it’s about. What is Praxis? The use of “atrophied bodies submerged in gel, fed synthetic bug paste” as a warning reads very slightly right-wing to me - there’s a right-wing meme about how the media keeps trying to get people to eat bugs, and how this is the shape our future dystopia will take. But whether I’m right or wrong, the fact that it’s hard to tell is a problem. The only other clues we’re getting are their Discord, which seems to be focused around getting a currency called PRAX for completing tasks. Once you get enough, you can become a Member, which seems to be where the real excitement starts. (source) I’m not even being sarcastic - I expect being a member to be quite fun. I say this because when I was a teenager I was part of a bunch of country simulation projects, some of which got past the inherent nerdiness of being a country simulation project exactly the same way Praxis is doing it - by saying that we were going to become a real country someday, as soon as we were big enough to convince people. These were usually fun and interesting and educational, and I made lots of great like-minded teenage and twenty-something friends. But none of them ever came close to becoming a real country, and I’m not sure it was merely for lack of millions of dollars. I hope I’m wrong and they manage to forge new lands through struggle to uplift the human spirit or whatever. Elsewhere In Model Cities Vitalik Buterin on the intersection between local government and blockchain technologies. He recommends they “start with self-contained experiments, and take things slowly on moves that are truly irreversible”, which is a weird way of saying “what we crypto leaders really want is a city at the base of a volcano, shaped like a giant Bitcoin”.
Inline links: with a central plaza in the shape of a Bitcoin logo, this article, Akon City, a second one, Bukele, a historic drop in the homicide rate, Dictator Book Club, moving to the Bahamas, moving to the Cayman Islands, this comment, promising the City Of The Future, far as I can tell, the media keeps trying, their Discord, tasks, https://substackcdn.com/image/fetch/$s_!2TK6!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F020ebe08-e968-45cd-ba39-a91cdc6e5892_473x533.png, source, a bunch of country simulation projects, the intersection between local government and blockchain technologies
The California city of Oroville recently passed a resolution declaring itself a “constitutional republic” as some kind of opposition to COVID mandates. It later clarified that it was not seceding from the US, but reiterated that it was now “a constitutional republic”. The best-case scenario here is ending up with a Conch Republic style colorful local legend; the worst case scenario is that they actually resist a federal law and everyone involved gets arrested.
This is pretty far off from Foldvary's "one-third" guess, but pretty close to Steven Cord's. Cord estimated land rent at about 24% of national income. That would be about $47 trillion using Smith's method. Given Foldvary is contradicted by his own source (Dwyer), we should probably exclude his line for now and construct a new one for Cord, as well as a "Dwyer-USA" line using 21% of America's GNI to better represent what Foldvary was getting at. If we buy that the Australian pattern might hold for the United States, our new chart looks something like this:
Inline links: at about 24% of national income
According to various sources, cap rates in the USA range between 3.5% on the low end to as much as 11% on the high end, depending on the type of property (offices have a higher rate, residential has a lower rate, etc). However, the vast majority of land values in the United States are urban, so we should weight our cap rates towards urban figures. Call it a low of 5% and a high of 8%. Smith suggests a blanket cap rate of 10%, but I'm erring on the conservative side.
In other words, of all the real estate value in the United States, the top 1% own 14.7% of it, the top 10% own 44.8% of it, and the top 50% own 88.5% of it.
First, a story of scruffy hippies and activists protesting the Man, that embodiment of capitalism and conformism and respectability. Think Stonewall, where gay people on the margins of society spat in the face of their supposed betters and demanded their rights. Even academics are part of this tradition: Chomsky and Herman’s Manufacturing Consent accuses the mainstream media of being the Man. It’s jingoist and obsessed with justifying America’s foreign adventures; we need brave truth-tellers to point out where it goes wrong. Environmentalism shares some of this same ethos. In Erin Brockovich, a giant corporation is poisoning people, lying about it, and has bribed or corrupted everyone else into taking their side. Only one brave activist is able to put the pieces together and stand up for ordinary people.
On a timescale of two years, a maximum effort by the United States of America could probably divert a comet or asteroid of up to ~2 km diameter. A long-period comet of 2 km diameter impacting the Earth would lay waste to one average continent, or the coastal regions bordering one ocean, but it wouldn't be an extinction event.
If we broaden our scope from the obvious mappings (Female President onto Trump) and admit that pure satires don't make the best cinema, at its broadest, it's a movie about institutional failure. Across party lines (though it skewers one more than the other, sure). It's for this reason it felt fresh to me and that I liked it. Institutional failure, even human failure, is becoming more and more obvious, as it's undeniable that our institutions, from academia to the White House, are more sclerotic and incapable and, well, foolish, than they either were in the past or appeared to be. And to me this movie was like an expression of America's Id realizing that over the past several years.
That doesn't change much if the rest of the world tries to help; the US has more than half of the relevant capacity, and the management overhead of trying to cobble an international effort together would eat up most of the gains. You really don't want to rush your English-to-metric conversions when you're trying to build and launch interplanetary nuclear missiles.
United States (GDP $21T): 2007: $131B 2012: $119B 2013:$143B, 2014: $154B, 2015: $163B, 2016: $173B,2017: $182B, 2018: $194B
So we have a drug industry that basically works by researching drugs to sell them in the United States; but then also pushing the drugs through the relatively easier regulatory regimes in the rest of the world to also sell the drugs everywhere else possible where the only investment that those additional sells need to justify recouping is the cost of getting the approvals since all of the research is already done.
And we end up with a system where drug development is worthwhile if and only if those drugs end up being sold in the United States, and where the FDA has the most stringent approval process, and nobody really has an incentive to change this. American regulators and politicians get disproportionately more power out of this arrangement. Drug companies make their profits. American insurers are able to pass along and distribute the costs across the population so they make their profits too. European countries get their drugs relatively inexpensively, and are existing in a legal context where that is their only real incentives since they really can't increase their ability to regulate drugs because the power that exists there is distributed throughout the EU rather than possessed by the governments of the member states. And the members of the EC probably are a bit unhappy and trying to increase their own ability to regulate things, but they're sufficiently disconnected from the powers of the member states that what they want doesn't really matter. (So Europe has somehow found a way to make the people who have the most incentive to increase the price of drug R&D there from having their voices heard.)
So: Polymarket got fined $1.4 million, and was ordered to make its real-money markets inaccessible to US-based traders (the rest of the world is still fine). It’s very poor news to hear that a villanous political nonentity blocked this vital prediction nexus, and I guess we Americans have no other options besides accepting that we’re vastly poorer now.
My favorite commentary on this decision is Nuno Sempere’s The American Empire Has Alzheimers. He lists various bad decisions the US has made, from Vietnam to the bungled withdrawal from Afghanistan last year. In this last case, President Biden said there was “no circumstance where you see people being lifted off the roof of an embassy” barely a month before we saw exactly that.
Inline links: The American Empire Has Alzheimers
The US is becoming the North Korea of forecasting. Every other civilized country allows prediction markets. In a perfect world, they could ignore our constant own goals and move on without us. But because America has a disproportionate share of money, users, coders, and entrepreneurs, a US-less prediction market ecosystem won’t be living up to its potential. That means decreased ability to gather and process information and worse decision-making worldwide.
He argues that the West is overestimating Ukraine - Russia is closer to Kyiv than America was to Baghdad at this stage of their Iraq invasion, and everyone was impressed with that stage of the American campaign. But he was intellectually honest enough to give a very specific prediction - collapse of Ukrainian resistance within a week - so he can’t really get out of admitting he miscalculated here. I definitely think both these things can be true at once: the Russians underestimated the extent of Ukrainian resistance even as the West may be overestimating it.
I’m proud of my record forecasting the invasion, given that it went against most of the predictions of those who generally share my foreign policy views. Anyone can occasionally be correct by following the same heuristic they always use, but I showed intellectual flexibility here by determining that American intelligence was likely correct. Karlin is the only other prominent US foreign policy skeptic I know of who thought war was even more likely than the conventional wisdom suggested, and he deserves credit for that (if you know of others, mention them in the comments). Part of the reason I came to the right conclusion was that I was even more pessimistic than most anti-interventionists were about the degree of rationality present in American foreign policy. For example, my friend Max Abrahms was saying until very recently that Putin was hoping for some concessions that would allow him to avoid war (to be fair, Max has been more correct than me on the invasion running into difficulties). I thought that was possible too, but I had little hope that American politics would allow Biden to strike a deal. When it became clear that negotiating over the NATO open door policy wasn’t even on the table, I increased my estimate of the probability for war. To his credit, Max has admitted I was right, as have others I’ve been texting with over the last few months. I also give credit to Saagar, Philippe, and Michael Tracey for publicly acknowledging mistakes.
Once we step aside from culture war resentments and focus on the hard realities of geopolitics, it is clear that Russia will eventually get its way because it cares more about Ukraine than the US does, and has the ability to threaten or use military force to get what it wants. When resolve and capabilities line up on the same side, that side is going to win. And the reason that Americans don’t care about Ukraine is that Ukraine objectively does not matter to the US. All the sophistry in the world coming from MSNBC hosts, ex-generals on the payrolls of defense contractors, and think tank analysts can’t change people’s perceptions here.
I don’t think Ukraine proves that “history has restarted” or “the Pax Americana was a paper tiger” or anything of the sort. These kinds of local conflicts were always allowed. Just ask an Iraqi. Or a Chechen, or an Afghan, or a Syrian, or a Bosnian, or a Crimean, or a Tigrayan or go back and ask the Iraqi a second time.
2: If the Pax Americana is dead, we need to try something different; but if it’s still alive, we should stick with what works.
The Pax Americana playbook for international norm violations is: the US slaps sanctions on the offender. The EU expresses “concern”. The UN proposes a resolution condemning it, which gets vetoed by whichever Security Council member is most complicit. And the CIA secretly gives Stinger missiles to everyone involved.
The other half? I’m not sure. Law is a popular major for would-be politicians in the US, but here’s a Chinese person explaining why it doesn’t work that way in China (short version: China doesn’t have great rule of law, so lawyers don’t matter much and are low status).
Inline links: a Chinese person explaining
Finally, a few months before the “election”, powerful Politburo member Bo Xilai was arrested on sensational corruption charges. In a country where almost every high official was corrupt, Bo had gone above and beyond: while trying to cover his misdeeds, he’d killed a British national and threatened his own client, the chief of police. The chief fled to an American consulate and might have tried to defect to the US. We still don’t know the whole story, but the whole Chinese leadership got enraged and sentenced Bo to life in prison.
Inline links: still don’t know the whole story
But even within mainland China, Xi has cracked down. We already talked about this above, but his anti-corruption campaign has been staggering. In a country where officials’ promises to “fight corruption” ring as hollow as American politicians’ promises to “fix health care”, Xi has walked the walk:
I am a pro labor Republican. As I indicated above, I believe that the labor movement is now with the Republican party. President Obama famously said certain manufacturing jobs would never come back to the United States. I can say a positive of President Trump’s presidency was his support to bring back manufacturing jobs to the United States (which he did).
California leads the nation in homelessness. It accounts for one-fifth of the homeless population of the United States. Homelessness is a result of poor planning, regulations, and lack of leadership. This is a symptom of failed policies.
Cristian is a first-generation Guatemalan immigrant who achieved the American Dream, got a Masters degree, and now supervises various manufacturing plants. He describes his goal as:
Inline links: Cristian
Relative to the US? False; both parties usually get about half of the vote, suggesting one is to the right of the median American, and the other to their left. You can probably argue that the Republican Party’s structural advantages cause both parties to be a little to the right of where they’d be without them, or that Americans’ ignorance of party platforms means you can smuggle a few points in that are slightly more extreme than what they’d endorse, but it’s going to be a small effect.
One of my least favorite political tropes is the claim that "America has two left-wing parties" or "America has two right-wing parties" or "both major parties are socialist" or however else you want frame this. The argument goes that even the Democrats aren't truly left (or even the Republicans aren't truly right), and so one side of the political spectrum completely controls discourse.
This doesn’t mean you can’t find a reference class where these claims make sense. I think most people who claim “America has two left-wing parties” are talking about relative to US history, and people who claim “America has two right-wing parties” are talking about relative to other OECD countries.
Throughout much of his career, he led a double life: as an intellectual leader in the ivory tower of pure mathematics and as a man of action, in constant demand as an advisor, consultant and decision-maker to what is sometimes called the military-industrial complex of the United States. My own belief is that these two aspects of his double life, his wide-ranging activities as well as his strictly intellectual pursuits, were motivated by two profound convictions. The first was the overriding responsibility that each of us has to make full use of whatever intellectual capabilities we were endowed with. He had the scientist's passion for learning and discovery for its own sake and the genius's ego-driven concern for the significance and durability of his own contributions. The second was the critical importance of an environment of political freedom for the pursuit of the first, and for the welfare of mankind in general.
In the 1940s and 1950s, he was equally convinced that the threat to civilization now came from totalitarianism on the left, that is, Soviet Communism, and his commitment was just as unequivocal to fighting it with whatever weapons lay at hand, scientific and economic as well as military. It was a matter of utter indifference to him, I believe, whether the threat came from the right or from the left. What motivated both his intense involvement in the issues of the day and his uncompromisingly hardline attitude was his belief in the overriding importance of political freedom, his strong sense of its continuing fragility, and his conviction that it was in the United States, and the passionate defense of the United States, that its best hope lay.
Still, I wasn’t too happy with this explanation. Many of the Eastern European Jews eventually fled to America, where there was less anti-Semitism and they could get good educations. They did very well for themselves - see the Nobel Prize statistic above. But the Manhattan Project, which you would expect to draw disproportionately from Americans, was still disproportionately Hungarian. There are now 15x more Jews in the US than in early 1900s Hungary, but we still admire and envy those few 1900s Hungarian supergeniuses as a breed apart. Why? I couldn’t find a satisfying explanation.
United States United Kingdom The US will grow from about 330 million people today to about 430 million in 2100; the UK from about 60 million to 80 million. Most of this growth will be immigration. Some of these immigrants will come from sub-Saharan Africa, others from countries whose populations are themselves declining (sorry, other countries).
But in fact, the Amish will not quite be a majority of Americans in 2250, because Orthodox Jews have only-slightly-slower growth rates.
The same is true in the West. The number of native-born white Americans is predicted to fall from 200 million to 140 million by 2100, a 30% decrease. But 140 million native-born white Americans is about as many as there were in 1965, when native-born white American Paul Ehrlich wrote Population Bomb, claiming that current populations were unsustainable and the world would collapse soon. On the way up, people were able to look at same these numbers and see them as terrifyingly high. Is there some objective standard by which we should look at them and instead find them worryingly low?
MacAskill thinks yes. His example is the abolition of slavery. The Greeks and Romans, for all their moral philosophy, never really considered this. Nor was there much abolitionist thinking in the New World before 1700. As far as anyone can tell, the first abolitionist was Benjamin Lay (1682 - 1759), a hunchbacked Quaker dwarf who lived in a cave. He convinced some of his fellow Quakers, the Quakers convinced some other Americans and British, and the British convinced the world.
This might not be impossible. For example, Mohammed asked Muslims not to eat pork, and they still follow this command thousands of years later. The US Constitution made certain design decisions that still affect America today. Confucianism won the philosophical squabbles in China around the birth of Christ, and its ethos still influences modern China.
Race-based slavery ended in the US in 1865 and in Brazil in 1888. Saudi Arabia ended its own form of slavery in 1962. Since then there has been some involuntary labor in prisons and gulags, but nothing like the system of forced labor that covered most of the world in the early 1800s. And although we may compare some modern institutions to slavery, it seems almost inconceivable that slavery as open and widespread as the 19th century norm could recur without a total change of everything in society.
There are also a few studies that just ask this question directly; apparently 16% of Americans say their lives contain more suffering than happiness, 44% say even, and 40% say more happiness than suffering; nine percent wish they were never born. A replication in India found similar numbers.
Based on all of this, I think if we trust this methodology about 10% of people live net negative lives today, which means the neutral point where the Repugnant Conclusion would force us to is at about the tenth percentile of the population. This doesn’t quite make sense, because you would think the tenth percentile of America and the tenth percentile of India are very different; there could be positional effects going on here, or it could be that India has some other advantages counterbalancing its poverty (better at family/community/religion?) and so tenth-percentile Indians and Americans are about equally happy.
Happiness isn’t exactly the same as income, but if we assume they sort of correlate, it’s worth pointing out that someone in the tenth percent of the US income distribution makes about $15,000. So maybe we could estimate that the average person in the Repugnant Conclusion would be like an American who makes $15,000.
Coria: I realize it’s a big ask. It just seemed sort of dishonest or small-minded to not even mention it as a possibility. There are plenty of lists of the greatest historical figures. Taking this one, selecting for only Americans or America-related people, and removing people too similar to each other, we get Columbus, Einstein, Edison, Washington, MLK, Disney, Franklin, Jonas Salk, Margaret Sanger, Susan B Anthony, and Louis Armstrong. We could combine it with this list of people who saved the most lives, of which the Americans are Maurice Hilleman, Henrietta Lacks, Jonas Salk, and Norman Borlaug - I think a good consensus list for both influential and moral might replace one of Columbus, Sanger or Franklin with Borlaug, and keep the rest. That would give us eleven honorees - enough for one holiday a month, leaving room for Christmas.
Adraste: …okay, surely we can both sketch out the form of the argument we’re about to have. Genocide, political correctness, moral progress, trying to destroy cherished American traditions, etc, etc, would you like to just pretend we hit all of the usual beats, rather than actually doing it?
Beroe: Does “Columbus Day was originally intended as a woke holiday celebrating marginalized groups; President Benjamin Harrison established it in 1892 after an anti-Italian pogrom in order to highlight the positive role of Italians in American history” count as one of the usual beats by this point?
All of our best holidays have begun as anti-holidays to neutralize older rites. Jesus was born in the spring; they moved Christmas to December to neutralize the pagan Solstice celebration. Easter got its name because it neutralized the rites of the spring goddess Eostre. Hanukkah was originally a minor celebration of a third-tier Bible story; American Jews bumped it up several notches of importance in order to neutralize Christmas.
Other commenters have meatier objections. In response to the claim that American Jews signal-boosted Hanukkah to compete with Christmas, Falernum writes:
Inline links: Falernum
In North America, Hanukkah became increasingly important to many Jewish individuals and families during the latter part of the 20th century, including a large number of secular Jews, who wanted to celebrate a Jewish alternative to the Christmas celebrations which frequently overlap with Hanukkah. Diane Ashton argues that Jewish immigrants to America raised the profile of Hanukkah as a kid-centered alternative to Christmas as early as the 1800s. This in parts mirrors the ascendancy of Christmas, which like Hanukkah increased in importance in the 1800s. During this time period, Jewish leaders (especially Reform) like Max Lilienthal and Isaac Mayer Wise made an effort to rebrand Hanukkah and started creating Hanukkah celebration for kids at their synagogues, which included candy and singing songs. By the 1900s, it started to become a commercial holiday like Christmas, with Hanukkah gifts and decorations appearing in stores and Jewish Women's magazines printing articles on holiday decorations, children's celebrations, and gift giving. Ashton says that Jewish families did this in order to maintain a Jewish identity which is distinct from mainline Christian culture, on the other hand, the mirroring of Hanukkah and Christmas made Jewish families and kids feel that they were American. Though it was traditional for Ashkenazi Jews to give "gelt" or money to children during Hanukkah, in many families, this tradition has been supplemented with the giving of other gifts so that Jewish children can enjoy receiving gifts just like their Christmas-celebrating peers do. Children play a big role in Hanukkah, and Jewish families with children are more likely to celebrate it than childless Jewish families, and sociologists hypothesize that this is because Jewish parents do not want their kids to be alienated from their non-Jewish peers who celebrate Christmas.
Reading this article is how I imagine it feels to live in a "less-developed" part of the world and read poverty-porn articles from American media outlets. The author "drives through as fast as possible" but feels comfortable making sweeping claims on the "misery" of the Central Valley based on a couple of newspaper articles and a few time-series plots.
3. Water. I think this is the big one. The valley is only agricultural because of a large canal network. And for a long time (not sure how it is now), farmers got incredible water subsidies, partially rationed, which they were not allowed to sell. When I was growing up, one of the most common ways of irrigation I'd see was literally flooding orchards because farmers had so much water that if they didn't use, they lost. So they'd use it on the least efficient method of irrigation possible. I think that's changed a bit in the last decade, but only in response to very severe drought. I believe to some extent some farmers are now being subsidized not to grow crops at all to save on water. When that's the backbone of your economy you're in trouble. (Growing up I heard that I lived in the "breadbasket of America" frequently. I wonder what they're telling kids now.)
I grew up on a farm east of Visalia. Very idyllic. A great way to grow up. I also love how culturally diverse it is and we all got along pretty well. (For example -- Go to a church on Sunday in the Valley--there are a lot of different colors there. You don't seem to see that in other parts of America.)
I'm sure that in the United States it's possible to write a whole book about a global trend without remembering the existence of other countries, but when read from another country . . .
Britain is a good example; not because it's the most illustrative, but just because it's the only country with whose popular culture the average American might be expected to be somewhat familiar. And it's a similar story, old moneyed elite getting kicked down by a new and supposedly-more-meritocratic elite. The process was perhaps a bit slower and a bit less complete (e.g. the new Prime Minister might be an Indian but he still went to Winchester). Among the many trends explaining this, I don't think admissions at Oxford/Cambridge are really close to the top, nor even admissions at Eton etc.
You saw the same thing with white Catholics. Even ones from very old American families who didn't have to deal with anti-immigrant sentiment. As late as the mid-20th century you had some Virginians going to places like William & Mary because they weren't New Englanders.
The first Columbine-style school shooting I am aware of was at the U. of Texas around 1966. The next was a young woman shooting up a school outside of San Diego around 1978. When asked why she did it, she said, "I don't like Mondays." Bob Geldof of the Boomtown Rats wrote a catchy tune about that shooting, which likely helped make school shootings more of a Thing in American culture.
If this is true, I’m not sure what survives of amok as a specifically Malaysian culture-bound illness. Perhaps the victim’s claim to be possessed or amnesiac is uniquely Malay, but surely if Americans could get away with saying a tiger spirit made them do it, they would try that too!
The culture-bound aspect is supposed to be that it presents differently, with fear of causing offense. But first, many Americans with social anxiety disorder fear causing offense. And second, everyone knows that Japanese culture is more offense-focused than ours; “Americans and Japanese express social anxiety in different ways” feels less mysterious than “they have completely different culture-bound mental disorders!”
An advertisement for the author’s hedge fund Michael Gibson’s memoir Paper Belt On Fire succeeds on all counts. The year was 2007. Gibson had just dropped out of Oxford (grad student, philosophy), and applied for a job with the CIA. His secret reason: when he was one year old, his father had admitted to his mother that he was a spy and might be in danger. Before he could tell her anything else, he was found dead, apparently of a heart attack. He thought maybe if he worked at the CIA, he would have access to more information about what happened. The CIA evaluated him (along with a telephone interview, an “IQ test, a personality test, a statement of values, [and] a set of essay questions”) and rejected him. Gibson got a job as an editorial assistant at a tech magazine and blogged on the side. Some of his blog posts came to the attention of Peter Thiel, who offered him a job at his hedge fund. Wasn’t it a bit bold to offer an Oxford philosopher a hedge fund job? Yes, the book mentions how brave and radical and unconventional Thiel’s hiring policies are about twice per paragraph. For example: The media consistently gets Peter wrong . . .The Atlantic’s George Packer wrote . . . that Peter’s hedge fund had the reputation of being a “Thiel cult” that was “staffed by young libertarian brains who were in awe of their boss, emulating his work habits, chess-playing, and aversion to sports.” Packer is a great writer, but in this he was dead wrong, as anyone actually working on the desk knew. Sure, Patrick “the Wolf Man” Wolff was technically a chess grandmaster, ranked higher than Peter, but hardly anyone else ever played. More importantly, the Wolf Man was a diehard Krugman Keynesian. Woersching was a lefty, too, an ardent fan of the egalitarian philosophy of John Rawls. And Josh, he was a dirt-road California Democrat who was a downhill ski junkie […] In truth, Peter didn’t hire just libertarians. He hired scapegoats who’d survived a mob. People who felt comfortable being a minority of one. Thiel in no way selects employees who agree with all of his controversial libertarian opinions. But, by total coincidence, Michael Gibson does agree with all of Peter Thiel’s controversial libertarian opinions. He writes about Cardwell’s Law; historian Donald Cardwell noted that no country remains on the cutting edge for long. During the early Renaissance, Italy was where it was at; a century later, it was Spain and Holland; later still, Britain and Germany, and now new discoveries and businesses come disproportionately from the United States. Why? Gibson and Thiel think that innovation is a rare and fragile plant, which thrives only in the hidden cracks between power structures. Established structures either stamp it out as a threat, or rent-seek off of it so hard that they bleed it dry. Wherever it succeeds, it has succeeded through weird quirks that prevent fat cats from parasitizing it to death. Hong Kong’s economic miracle was during the administration of John Cowperthwaite, an eccentric British libertarian who refused to collect economic statistics because he thought they would make it too easy for meddlers to extract value. America’s economic miracle happened because of a vast frontier - which not only provided freedom for westerners, but served as a BATNA for easterners, preventing their own institutions from sucking them too dry. Now the frontier has closed. New York City recently abandoned its attempt to build a light rail line to the airport: after reaching a $2.4 billion price tag and spending eight years in the planning phase, the government realized it wouldn't be able to overcome all the legal hurdles necessary to grant itself permission. The San Francisco Chronicle reported that it requires 87 permits, two to three years, and $500,000 to get permission to build houses in SF - and your plan might still get shot down because a planning commissioner thinks its glass windows are “a statement of class privilege”. The cracks have shut; the rare fragile plant has been shredded by a combine harvester. Gibson, like Thiel, is a believer in the Great Stagnation - the theory that we’re already reaping the consequences of our newly parasitic society. The early 20th century gave us cars, airplanes, electricity, and penicillin; the early 21st has so far given us some truly excellent social media sites but not much else. Innovation in the world of bits - unbound by geography, comparatively hard to regulate or extort - has sort of continued; innovation in the world of atoms has ground to a halt. And Gibson, like Thiel, talks like a man on a mission. What is good in man thrives only in a few tiny cracks, easily found and destroyed. The last crack was closed within living memory, but its legend hasn’t completely died; the few people who managed to pick up a little of its lore are racing against time to open a new crack before it is entirely forgotten and their project is left to the vicissitudes of history. The cover of “Paper Belt On Fire” goes hard. And yes, the “money” part is a reference to Bitcoin. Gibson’s heart was originally in charter cities - asking some government to open a tiny controlled crack in a sliver of its territory, promising it more meat in the end if it lets its victims grow fat and healthy than if it strangled them in the cradle. But for whatever reason they thought the time wasn’t ripe (the right time, apparently, would be 2019). Instead, Thiel asked Gibson to work on what would become the Thiel Fellowship. He teamed up with Danielle Strachman, a dangerously-hippie-adjacent burnt-out former charter school principal. Their plan was simple: offer talented kids $100,000 to drop out of school and do something exciting in the real world (usually start a company). Paper Belt spends long pages on the hate they got. Larry Summers called it “the single most misdirected bit of philanthropy this decade”. Journalist Jacob Weisberg said anyone who accepted the Fellowship would “halt their intellectual development at the onset of adulthood, maintaining a narrow-minded focus on getting rich as young as possible and thereby avoid the siren lure of helping others or pursuing knowledge for its own sake” (this was before journalists decided that helping others was also evil). Others focused on how there was no way any of these young people would possibly succeed or make money - when the first batch of Thiel fellows failed to revolutionize the world within one year, journalist Vivek Wadhwa wrote Billionaire’s Failed Education Experiment Proves There’s No Shortcut To Success. In fact (slightly conflating the part with the Fellowship with its successor fund): The press . . . hated us. In a 2016 New York Times op-ed, science journalist and author Tom Clynes claimed that “radical innovation has yet to emerge” from anything related to the Thiel Fellowship, and that “the biggest hits have been the most pedestrian.” Antonio Garcia Martinez, the author of the Silicon Valley memoir Chaos Monkeys, spewed forth his bile for us on social media: “For fans of ironic stupidity, Silicon Valley is a never-ending feast”, he wrote on Facebook. He went on to explain, with great vulgarity, why our fund would fail by backing young dropouts. My favorite . . . has to be the challenge issued by Scott Galloway, a professor and bloviator in marketing from NYU’s business school . . . who told Business Insider that if he picked ten smart recent graduates from his alma mater, the University of California at Berkeley, they would outperform any ten dropouts we worked with on some dimension of success related to income or startup formation. Of course he wouldn’t have written the book if any of these people had been right. I can’t find a list of all Thiel fellows, but there are ~20 per year and it’s been running about 12 years, so maybe 200 - 250? At least eight have founded companies valued at over a billion dollars, and others have become impressive philanthropists, activists, and scientists. Pretty good success rate. Gibson argues it’s not about the money, it’s about the mission. We’ve told young people they can’t succeed without the stamp of approval from big institutions. In order to get that stamp, they sacrifice their childhood on the altar of doing things that look nice to admissions officials, then go deep into debt to pay ruinous tuitions. All to waste four years of their lives listening to some professor drone on about post-colonial gender relations in Harry Potter so they can satisfy their gen ed requirement so they can learn the stuff they want to learn so they can get hired by McKinsey so that one day they can be cool and important enough to make a difference in the world. Why not tell young people they can just make the difference right now, without doing any of that? It’s not about the money - but when your graduates are routinely founding billion dollar companies, you’d be crazy to keep it that way. After a few years, Gibson and Strachman noticed the billion-dollar-bill lying on the ground, left the Thiel Fellowship, and started a new VC fund, 1517 (named after the year Martin Luther did some institution-challenging of his own). Their business plan was to do roughly the same thing as the Thiel Fellowship - only this time, invest in the companies beforehand (the parting with Thiel seems to have been amicable; he invested $4 million). So Gibson adopted the life of a venture capitalist. He talks frankly about the difficulties. For example, in one case he found someone nobody else believed in, gave them enough money to keep going, and helped them start their company in exchange for them giving Gibson a certain stake. After the company succeeded, Gibson accuses bigger VC firm Sequoia Capital of convincing the founder to kick him out, and stealing his stake. He says that in the world of VCs it’s poison to sue founders for any reason, so nobody can enforce contracts, so if your founders defect to a different VC for more money, there’s nothing you can do (this is not legal advice). Also, “please give me millions of dollars so I can invest it in college dropouts” is a tough sale for everyone except Peter Thiel. Still, he got a bit of money and tried his best. He takes as his - would it be insensitive to say “role model”? - John Walker Lindh, the American who defected to the Taliban (and who he apparently looked like). Probably it depends on the angle or something. Lindh was the only American to find Osama bin Laden in the early 2000s - he went to lots of jihadi training camps in the process of learning how to jihad, and Osama happened to be at one of them. The lesson, Walker says, is that if you want to find people who are hard to find, you need to steep yourself in their culture, truly understand them, become one with them. Good founders are hard to find. But he and Strachman went to dozens of dingy college dorms, math competitions, group houses, and hackathons, looking for people with the right sort of talent. After pooh-poohing IQ (“Marilyn vos Savant is listed as having the highest recorded IQ, and what does she do? She writes a column for a Sunday supplement in the newspaper”) he lists some of his own preferred metrics for judging would-be Thiel fellows and founders: Polytropon - a famously untranslatable Greek word (“of-many-turns”? “always-has-a-trick-up-his-sleeve” “clever bastard”?) used to describe Odysseus. Edge control - willingness to constantly surf the boundary between order and disorder Crawl-walk-run - ability to scale from a tiny startup to a big company. …and several others, including “tensive brilliance” and “Friday night Dyson sphere”. He and Danielle searched the country for people with these qualities, annoying colleges (he was banned from MIT after showing up too often to convince their students to drop out) and doing various stunts (on October 31 2017, the 500th anniversary of Luther’s theses, he nailed a list of anti-formal-education theses to the doors of the admin buildings of top colleges (“Our commercial printer had misunderstood our request and printed them on seven-foot-long scrolls. They were ridiculous . . . but it turned out for the best.”) At one point, he negotiated with a brilliant 21 year old who may have discovered a transformative diabetes therapeutic, but the hidebound conformist novelty-hating establishment refused to work with him just because he liked the Marvel Cinemat - okay, fine, he may have legally changed his name to “Tony Stark”. Still, Gibson saw past his eccentricities, helped him start his company, and gave him sage advice (he should introduce himself to other investors as “Anthony”). Skip through several more chapters of everyone hating Gibson and telling him he was wrong and refusing to give him money and cheating him out of the money he already had, and the payoff is Luminar. One of the dropouts they cultivated founded a beyond-cutting-edge lasers-for-self-driving-cars company which went public at $3 billion. 1517 made $200 million from the deal - it sounds like they had only ever raised about $25 million, so their investors must have octupled their money on that company alone. Everyone involved is now very rich, and Gibson considers his anti-education thesis on the way to being proven. The book ends with a newly-resourced Gibson continuing his quest to figure out whether and why the CIA killed his father, but it’s slow going. If any of you know a guy named Albert van Dam in Amsterdam, or how to convince Swiss banks to reveal secret account information, get in touch with him. II. A common pattern: I assert something. Everyone yells at me and tells me I’m wrong and stupid, sometimes in very colorful language. I wait, time proves me right, and I write an essay gloating educating people about this. The median comment is “of course this is true, nobody ever denied this was true, why are you wasting our time with something obvious?” I hate this and I try to avoid doing it to other people. This is too bad, because I’m tempted to say: obviously talented dropouts can start good companies. We’ve known this at least since Bill Gates dropped out of Harvard in 1975 to start Microsoft. But also, obviously they can. Brilliant and driven people can succeed whether they get a college education or not. If Bill Gates had stayed an extra two years at Harvard, he probably would have taken a few more advanced math classes not really related to programming software or running a company. So why should we even have as a hypothesis that he couldn’t start Microsoft successfully without doing that? Still, Gibson adequately proves that lots of people hated him and were sure he would fail. Either we should read this backwards - learn that there was once a time when pro-college messages were even stronger than now, so strong that people thought it was literally impossible to succeed without every single day of a four-year college application - or the critics were trying to get at something deeper they were bad at expressing. For example: what, exactly, is Gibson’s alternative to the education system? The back-of-book-blurb says Paper Belt On Fire is about “how higher education and other institutions must evolve to meet the dire challenges of tomorrow” - but evolve how? What exactly has been proven here? A few of the very brightest young people, hand-picked by an expert young-person-picker and given $100K, can become billionaires or make great discoveries without a college degree. What are the implications? Suppose you are an average college student with an average level of talent and motivation. Should you drop out and try to create a company for Peter Thiel? Based on how many average-talent people Thiel rejects, even he doesn’t think you should do that. And if you don’t have a good answer to this question - the one relevant to 99.9% of education system inmates - have you really launched a challenge to the educational system? Gibson doesn’t address this question, but I predict he would admit that, fine, he doesn’t have an alternative to the education system in the sense of “educate people this way rather than that way”. He just wants less formal education, and has proven this will work fine. True, he’s only proven it for a tiny subset of ultra-talented people. But “billionaire tech founder” is a hard job - if it wasn’t, more people would do it and reap the $1 billion reward. Proving that people can become billionaire tech founders without college degrees implicitly suggests they can be successful middle managers or budget analysts without college degrees. So the sort of companies that need middle managers and budget analysts should also consider hiring people without degrees, and the sorts of average-level-of-talent-and-motivation people who want these jobs should consider skipping college. Would this work? Probably. It worked in the early 1900s, when only 5-10% of Americans had college degrees but the country seemed about as dynamic and successful as it does now. It worked for people like George Washington, Abraham Lincoln, and Thomas Edison, none of whom went to college. It works in other countries - for example in the UK where young doctors skip undergrad and go straight to medical school, and whose patients get about the same outcomes as in the US. It works for people with impractical degrees like philosophy, who are constantly getting jobs in (and doing well in) fields that don’t require you to compare Locke vs. Leibniz’s perspective on a priori truths. So this would work if everyone agreed to do it at once, which they won’t. The way college gets you is adverse selection. Suppose that tomorrow, you - a smart and hard-working person who could easily get a college degree - decline to do so, because you appreciate Peter Thiel and Michael Gibson’s anti-institutional perspective. The pool of people without college degrees is now, to a first approximation: 200 million people who weren’t smart to get in, rich enough to afford it, or motivated enough to finish.
Inline links: Paper Belt On Fire, John Cowperthwaite, recently abandoned its attempt, reported that, might still get shot down because, https://substackcdn.com/image/fetch/$s_!XcvP!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa8b369ca-5089-4e18-857d-1f34a9eee200_585x134.png, 2019, journalists, decided, that, Billionaire’s Failed Education Experiment Proves There’s No Shortcut To Success, https://substackcdn.com/image/fetch/$s_!R2y6!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F38012394-be90-413c-b9a2-c291f1b3a118_858x392.png, his company, read this backwards
Probably it depends on the angle or something. Lindh was the only American to find Osama bin Laden in the early 2000s - he went to lots of jihadi training camps in the process of learning how to jihad, and Osama happened to be at one of them. The lesson, Walker says, is that if you want to find people who are hard to find, you need to steep yourself in their culture, truly understand them, become one with them. Good founders are hard to find. But he and Strachman went to dozens of dingy college dorms, math competitions, group houses, and hackathons, looking for people with the right sort of talent. After pooh-poohing IQ (“Marilyn vos Savant is listed as having the highest recorded IQ, and what does she do? She writes a column for a Sunday supplement in the newspaper”) he lists some of his own preferred metrics for judging would-be Thiel fellows and founders: Polytropon - a famously untranslatable Greek word (“of-many-turns”? “always-has-a-trick-up-his-sleeve” “clever bastard”?) used to describe Odysseus. Edge control - willingness to constantly surf the boundary between order and disorder Crawl-walk-run - ability to scale from a tiny startup to a big company. …and several others, including “tensive brilliance” and “Friday night Dyson sphere”. He and Danielle searched the country for people with these qualities, annoying colleges (he was banned from MIT after showing up too often to convince their students to drop out) and doing various stunts (on October 31 2017, the 500th anniversary of Luther’s theses, he nailed a list of anti-formal-education theses to the doors of the admin buildings of top colleges (“Our commercial printer had misunderstood our request and printed them on seven-foot-long scrolls. They were ridiculous . . . but it turned out for the best.”) At one point, he negotiated with a brilliant 21 year old who may have discovered a transformative diabetes therapeutic, but the hidebound conformist novelty-hating establishment refused to work with him just because he liked the Marvel Cinemat - okay, fine, he may have legally changed his name to “Tony Stark”. Still, Gibson saw past his eccentricities, helped him start his company, and gave him sage advice (he should introduce himself to other investors as “Anthony”). Skip through several more chapters of everyone hating Gibson and telling him he was wrong and refusing to give him money and cheating him out of the money he already had, and the payoff is Luminar. One of the dropouts they cultivated founded a beyond-cutting-edge lasers-for-self-driving-cars company which went public at $3 billion. 1517 made $200 million from the deal - it sounds like they had only ever raised about $25 million, so their investors must have octupled their money on that company alone. Everyone involved is now very rich, and Gibson considers his anti-education thesis on the way to being proven. The book ends with a newly-resourced Gibson continuing his quest to figure out whether and why the CIA killed his father, but it’s slow going. If any of you know a guy named Albert van Dam in Amsterdam, or how to convince Swiss banks to reveal secret account information, get in touch with him. II. A common pattern: I assert something. Everyone yells at me and tells me I’m wrong and stupid, sometimes in very colorful language. I wait, time proves me right, and I write an essay gloating educating people about this. The median comment is “of course this is true, nobody ever denied this was true, why are you wasting our time with something obvious?” I hate this and I try to avoid doing it to other people. This is too bad, because I’m tempted to say: obviously talented dropouts can start good companies. We’ve known this at least since Bill Gates dropped out of Harvard in 1975 to start Microsoft. But also, obviously they can. Brilliant and driven people can succeed whether they get a college education or not. If Bill Gates had stayed an extra two years at Harvard, he probably would have taken a few more advanced math classes not really related to programming software or running a company. So why should we even have as a hypothesis that he couldn’t start Microsoft successfully without doing that? Still, Gibson adequately proves that lots of people hated him and were sure he would fail. Either we should read this backwards - learn that there was once a time when pro-college messages were even stronger than now, so strong that people thought it was literally impossible to succeed without every single day of a four-year college application - or the critics were trying to get at something deeper they were bad at expressing. For example: what, exactly, is Gibson’s alternative to the education system? The back-of-book-blurb says Paper Belt On Fire is about “how higher education and other institutions must evolve to meet the dire challenges of tomorrow” - but evolve how? What exactly has been proven here? A few of the very brightest young people, hand-picked by an expert young-person-picker and given $100K, can become billionaires or make great discoveries without a college degree. What are the implications? Suppose you are an average college student with an average level of talent and motivation. Should you drop out and try to create a company for Peter Thiel? Based on how many average-talent people Thiel rejects, even he doesn’t think you should do that. And if you don’t have a good answer to this question - the one relevant to 99.9% of education system inmates - have you really launched a challenge to the educational system? Gibson doesn’t address this question, but I predict he would admit that, fine, he doesn’t have an alternative to the education system in the sense of “educate people this way rather than that way”. He just wants less formal education, and has proven this will work fine. True, he’s only proven it for a tiny subset of ultra-talented people. But “billionaire tech founder” is a hard job - if it wasn’t, more people would do it and reap the $1 billion reward. Proving that people can become billionaire tech founders without college degrees implicitly suggests they can be successful middle managers or budget analysts without college degrees. So the sort of companies that need middle managers and budget analysts should also consider hiring people without degrees, and the sorts of average-level-of-talent-and-motivation people who want these jobs should consider skipping college. Would this work? Probably. It worked in the early 1900s, when only 5-10% of Americans had college degrees but the country seemed about as dynamic and successful as it does now. It worked for people like George Washington, Abraham Lincoln, and Thomas Edison, none of whom went to college. It works in other countries - for example in the UK where young doctors skip undergrad and go straight to medical school, and whose patients get about the same outcomes as in the US. It works for people with impractical degrees like philosophy, who are constantly getting jobs in (and doing well in) fields that don’t require you to compare Locke vs. Leibniz’s perspective on a priori truths. So this would work if everyone agreed to do it at once, which they won’t. The way college gets you is adverse selection. Suppose that tomorrow, you - a smart and hard-working person who could easily get a college degree - decline to do so, because you appreciate Peter Thiel and Michael Gibson’s anti-institutional perspective. The pool of people without college degrees is now, to a first approximation: 200 million people who weren’t smart to get in, rich enough to afford it, or motivated enough to finish.
Inline links: his company, read this backwards
Until Gibson has an answer for this, all his anti-education rhetoric feels like potshots. Some of those potshots will land, the ogre will howl in pain, and it will be very satisfying. But in the end it’s still an ogre, it’s still stronger than you, and you still owe it $30,000 for every year you or your children are between ages 18-22 - which it will take and distribute among all of the usual types of people who populate extractive institutions and extract from them in turn. The Paper Belt - Gibson’s term for these extractors - is at best barely smoldering.
Who “won” the electricity “race”? Maybe Thomas Edison, but that didn’t cause Edison’s descendants to rule the world as emperors, or make Menlo Park a second Rome. It didn’t even especially advantage America. Edison personally got rich, the overall balance of power didn’t change, and today all developed countries have electricity.
The most consequential “races” have been for specific military technologies during wars; most famously, the US won the “race” for nuclear weapons. America’s enemies got nukes soon afterwards, but the brief moment of dominance was enough to win World War II. Maybe in some sense the British won a “race” for radar, although it wasn’t a “race” in the sense that the Axis knew about it and was competing to get it first. Maybe in some sense countries “race” to get better fighter jets, tanks, satellites, etc than their rivals. But ordinary mortals don’t concern themselves with such things. No part of US automobile policy is based on “winning the car race” against China, in some sense where consumer car R&D will affect tanks and our military risks being left behind.
Second, because some transhumanists think AI could cause a technological singularity that speedruns the next several millennia worth of advances in a few years. This probably only happens if superintelligent AI can figure out ways to improve its own intelligence in a critical feedback loop. I’m pretty skeptical of these scenarios in the current AI paradigm where compute is often the limiting resource, but other people disagree. In a fast takeoff, it could be that you go to sleep with China six months ahead of the US, and wake up the next morning with China having fusion, nanotech, and starships,.
No; I think the missing insight is that there’s some pool of geographically mobile Americans1 who are looking for new housing (or who might start looking if the right situation presented itself). These people have various combinations of preferences and requirements. One common pattern is to prefer any big city - they would be happy to live in Seattle, or NYC, or the Bay, if the opportunity came up. Right now, more Americans prefer to live in big cities than there are housing units in big cities, so prices go up and these people can’t afford their dream. As new cities become “big” (by these people’s criteria), they’ll move to those cities, increasing demand. The fact that big cities remain more expensive than small villages suggests that there are many of these people and they’re currently under-served.
Inline links: 1
So if Oakland became bigger, it would become a more appealing destination for these people at some rate (making it more expensive) and get more supply at some rate (making it less expensive). Since existing big dense cities are all very expensive, most likely in current conditions the first effect would win out, and Oakland would become more expensive. But it can’t do this forever - at some point, it will exhaust the pool of Americans who want to move to big cities (you’ll know this has happened when housing prices are no higher in big cities than anywhere else). So there’s not perpetual motion - just the ability to keep making money as long as there’s pent-up demand, like in every other part of the economy.
I’m limiting this to America because it’s approximately a self-contained housing market; I don’t think there are enough immigrants to really affect things. Thinking at a country level does make a difference - for example, I worry someone will bring up Tokyo as a counterexample. But I think Tokyo managed to build its way to low housing prices in the context of the rest of Japan also having good housing policy. Even if that isn’t true, Tokyo on its own is a quarter of the Japanese market, so it might be able to exhaust the entire pool of Japanese house-seekers by itself!
The picture on the left is Manhattan Island, NY. The picture on the right is Conanicut Island, RI. Both islands are about the same size, the same climate, the same distance from the mainland. Both are near good natural harbors. In 1600, some early European explorer would have considered them basically interchangeable. Still, the cost of housing in Manhattan is about $2000/sqft, and the cost of housing in Conanicut is about $500/sqft. Why? God didn’t create these two islands with different land value; something must have happened to make one 4x as expensive as the other. The obvious answer is “the Dutch chose to build their colonial capital on Manhattan, more and more people moved in, it became ever denser and more urban in a virtuous cycle, now it is very dense and urban, and, in the current regulatory regime, dense urban areas have higher housing prices than empty rural ones.” If back in 1624 the Dutch had decided to build their capital on Conanicut, maybe today it would be a city of 10 million people, and Manhattan would be an empty rural area. In that case, I would expect Conanicut to have 4x the house price of Manhattan. If I were a Native American living on Manhattan, and I was committed to keeping housing prices there low, I would ask the Dutch to build their capital on Conanicut instead. In fact, whenever a European came to my island seeking to build houses, I would try to fight them off. If I somehow succeeded at this for four hundred years, and Manhattan remained an empty rural area, then I would expect Manhattan prices to be much lower than they are now. So in response to all of your comments that I don’t understand basic causal inference, I answer that history provides quasi-experiments, and no, I’m pretty sure that Manhattan has high prices because lots of people moved there, rather than because of some other factor. Or, rather, both density and desirability feed into the other, but the density step is a crucial input. 2. Comments About Jobs And Amenities (And Not Density Per Se) Producing Desirability But Martin Blank writes: NYC/SF are expensive because there are MANY good jobs there and people WANT to live there. Not because of the density of housing. You could build 500,000 homes in the middle of your empty field in North Dakota, and it wouldn't do much for the demand there. You aren't going to create Manhattan by magicking 3.5 million housing units of similar quality into the Red Lake Indian reservation in Northern Minnesota. I originally found the various comments saying this annoying. Yes, there are many good jobs in NYC. You can be a barista at Starbucks, you can be an actor on Broadway, you can be a train conductor for the MTA. But why is it easier to be a barista in NYC than in North Dakota? Surely because there are millions of people in New York, those people drink a lot of coffee, and so they need a lot of baristas. Likewise, they watch a lot of plays, and ride a lot of trains, so they need actors and train conductors. If all the residents moved to North Dakota, there would be lots of demand for baristas, actors, and train conductors in North Dakota, and none in NYC. But some people gave versions of this argument that I found harder to dismiss. JSwiffer writes: The key fact your missing is if you wave a magic wand and 10x San Francisco you wouldn't 10x all jobs. You would 10x the # of waiters, and garbage men but you wouldn't 10x the # of 500k/yr Google site reliability engineers. And it's the latter not the former that are driving up prices. Other commenters analogized this to factory or coal mining towns. Here’s how I ended up thinking about this: suppose someone strikes oil in an uninhabited part of North Dakota, enough to produce 1,000 good oilman jobs. 1,000 oilmen move to the area and start a town. Because there are no NIMBYs, they build 1,000 houses. Each oilman creates demand for a certain amount of waiters (to serve them food), doctors (to treat their illnesses), teachers (to teach their children), etc. How many waiters, doctors, teachers, etc move to the town? Assume for the sake of argument that all jobs earn the same salary, $50,000. In that case, it has to be fewer than 1,000. Each oilman earns $50,000, and some of that gets spent on taxes and out-of-town goods. So he has less than $50,000 to spent on in-town goods and services, so (in this hypothetical) creates less than one other job. Each waiter needs doctors to treat their illnesses and teachers to teach their children, so each service employee creates some number of additional service employee jobs. Makeshift housing in a North Dakota oil boom town (source) If each person creates half a job, the original 1,000 oilmen attract 500 service workers, those 500 attract another 250, and so on until population stabilizes at 2,000 people. In this model, if there are fewer than 2,000 houses in the town, demand exceeds supply (no matter what is going on in the rest of the country), but if there are more than 2,000, supply exceeds demand. So if we imagine Google’s presence as an oil-like resource, the extra demand for housing in the Bay should gradually decline: at some point, you will have finished housing the Google workers and the service workers who support them. But this isn’t right either, because Google isn’t a natural resource - it’s a company founded by Bay Area residents. If you got more Bay Area residents, you would (with some delay) get more Googles. Or: Austin gets lots of jobs from Tesla. Tesla wasn’t founded by Austinites. But it moved to Austin when it became a known “tech hub”, ie a place with lots of tech companies and tech employees. It wouldn’t have moved to Austin if Austin was still an uninhabited plain or a one-horse town. So as Austin got bigger, it attracted more tech companies. So in both the Bay Area case and the Austin case, having more people attracted more tech companies, either because the residents themselves found the company or because the company gets attracted to this newly bustling city. Potential counterargument: Each new Bay Area resident gives the Bay another lottery ticket to found the next Google. If having the first Google gets it an extra 1 million people, but there are 300 million people in the US, then those extra 1 million only give it a 1/300 chance of winning the next lottery. So even though the Bay Area won the lottery once, and this made it have high demand, this doesn’t mean the high demand will cause it to win more lotteries. If you win the lottery once, spend all your winnings on more lottery tickets, and keep doing this forever, you haven’t invented an infinite money printing machine, eventually you’ll just lose. Potential counter-counter-argument: the Bay got Google, and Facebook, and Apple, and . . . so these can’t all be separate lotteries. I think you should probably model it as a high-level lottery to become the next hub of a tech-sized industry, plus many low-level lotteries where once you’re the tech hub, you’re attracting lots of techies, and each techie gives you a ticket in a lottery where the denominator is the number of techies to found the next big tech company. And the Bay might have half the US’s techie population. So maybe here there is a self-sustaining lottery-winning cycle, at least until tech plays itself out and nobody wants any more tech companies. And that might take a long time. Tom (author of Tom Thought) writes: The primary drivers of demand for living in NYC are the specific opportunities available in NYC. It is true that on long time horizons, one of the reasons these opportunities have tended to collect in NYC is that it is a dense place. But those aren't the only reasons - NYC is much more important than other, bigger cities in other parts of the world for complex historical reasons. Even if a catastrophe were to wipe out half the city, there would still be a great deal of demand to live near important institutions like Broadway, Wall Street, Port of NY & NJ, Columbia, etc (assuming those institutions survived the catastrophe). Increasing the number of housing units has a very mechanical impact on how many people can live in the place. But it has only a second-order impact on the types of institutions that drive demand to live in the city. People don't just generically crave to live near other people for the most part (a handful of urbanist freaks like myself excepted). The Bay Area is a great example of this. It is much less populated than other much cheaper cities. Density isn't why people want to live there - it's access to a specific culture and specific institutions. Demand for that is not simply a function of density - some people want to be part of Bay Area culture and others don't. Adding more units will induce some demand as a second-order effect, but will bring prices down as a first-order effect. To relate this to your model: we might be able to say that the country has a certain number of abstract "culture points" that have been allocated to different cities by various historical forces. Each culture point a city has increases demand to live in that city by a certain amount. Adding more people to the city may allow it to generate additional culture points over time, or acquire culture points from other cities, but this doesn't happen right away, and is determined by a host of factors other than just density. Under this model, we expect a place like NYC to always cost much more than North Dakota (since NYC possesses a large number of culture points), but we would also expect that adding additional housing units to NYC would bring costs down (since there are now additional housing units per culture point). Perhaps this process will over time allow NYC to steal away some culture points from Chicago, Boston, or other cities, but this is a secondary effect. This just seems to be passing the buck. Yes, people move to New York because it has Broadway, Columbia University, and Wall Street. Why does it have those things? Because one in every X New York citizens founds a good artistic/educations/financial institution, and New York has a large population of employees to work at those institutions and customers to patronize those institutions. If Conanicut Island had a population of 10 million people instead of Manhattan, there would be lots of great institutions on Conanicut and it would have more culture points. I don’t think it’s a culture-point game and population/density just sort of occasionally redistributes culture points, I think to a first approximation culture points just track population/density. Maybe they track the population/density of upper class people better than the total population/density, but I don’t think this is a big enough distinction to sink the argument. 3. Comments About Chinese Ghost Cities Some people brought these up as a good natural experiment: the Chinese really did try building millions of houses on their equivalent of a North Dakota plain. What happened? Jeremiah Johnson (author of Infinite Scroll) writes: You currently seem like you're at the stage of understanding the thought experiments pretty well, but not understanding them on a DEEP level. For example with your hypothetical, this has actually happened before! Kind of. China built a bunch of 'ghost cities' basically out of nothing, and while there was an initial craze of speculation and tons of investment and building... nobody went to live in those cities most of the time. And now they're deeply distressed assets worth basically nothing. When nobody actually lives in the ghost city, it doesn't matter that they have super dense housing. There's no demand. (the only reason they might be worth something is that the CCP very, very much does not want to pop their huge housing bubble and is likely to bail out some of the parties involved) Parmenides (author of Last House On The Left) writes: I think your mixing up the agglomeration effects of density, which is what induces the demand, and the housing supply. You can't just build a city and expect people to move in, China has tried that. But if you have the agglomeration effects of density and shortage of housing due to artificial constraints, which we have all across the US, then you get dense areas with high housing costs. sdwr writes: Think of China's ghost cities / apartment blocks. Prices surely can't be that high there. Maybe the answer is that developers are good at their job, and build supply where theres demand for it? But several other people object that although the Western press made a big deal about Chinese ghost cities a few years ago, it mostly just took a couple of years for people to move in, and now at least some of them seem to be thriving. For example, Michael quotes the Wikipedia article, Under-occupied Developments In China: Reporting in 2018, Shepard noted that "Today, China’s so-called ghost cities that were so prevalently showcased in 2013 and 2014 are no longer global intrigues. They have filled up to the point of being functioning, normal cities". Ash Lael writes: I'm sceptical of the Chinese "ghost city" phenomenon. I haven't explored the issue rigorously but my impression is that in areas that were previously dismissed as "ghost cities" like Ordos Kangbashi, the population is now large and growing. I think we in the west are so used to infrastructure bottlenecks and short sightedness and anti-construction policies that the idea of it being possible to build the housing and infrastructure to accomodate expected demand ten years in the future is completely foreign to us. Perhaps building brand new cities before they are even needed is what the YIMBY utopia looks like. See also Bloomberg: China’s Ghost Cities Are Finally Stirring To Life After Years Of Empty Streets. This wasn’t trivial. It looks like the Chinese government had to put in some work to make people move in, including opening good schools and universities there. Probably if they had just built apartments in the middle of the desert and nothing else, they would have stayed empty. But that’s even more of a reductio ad absurdum than the original ghost city plan. Kangbashi, China’s most famous ghost city. What are housing prices like in the ghost city? Again from Bloomberg: Sitting on the southern outskirts of Inner Mongolia’s Ordos City (population 2.2 million), Kangbashi was the archetypal ghost city 10 years ago, with barren boulevards and empty buildings standing forlornly in the desert. Local officials are adamant that things have changed. They say 91% of homes in the district are occupied. In fact, after a yearslong construction freeze, the government approved six housing projects in 2020 and expects 3,000 homes to be built by the end of this year. Apartments in a new development are selling for 9,500 yuan per square meter, and downtown they go for 15,000 to 16,000 yuan, according to Liu Yueyue, 28, a salesman at a new residential development in the district’s northeast. “Would houses in a ghost town sell at such high prices?” asks Liu. Half of his customers come from outside Kangbashi, and most are parents who want to send their children to the well-regarded local schools, he says. Looking at this list of real estate prices across Chinese cities, Kangbashi seems squarely in the middle - for example, Wuhan and Xian are also in the 15,000 - 16,000 range. I claim this supports my argument: surely twenty years ago, houses in this particular deserted corner of Inner Mongolia would have been dirt cheap (if any even existed). But if you build a city there, it becomes just as expensive as any other city! Here it’s very obvious that the density caused the high prices instead of the other way around. Still, the Chinese housing market is weird, with significant vacancies even in expensive, well-developed cities. Paul Botts: No official vacancy rates are published in China and no specific definition of it exists there. Various think tanks and researchers both within that country and elsewhere have published estimates ranging from as low as 11 percent to as high as 24 percent. Those estimates have been for varying samples of Chinese cities, have used various definitions of housing vacancy rate, etc. The best (as in most systematic) estimate yet produced has come from researchers at a university in Liaoning. They used night-time urban lightsheds captured by a new (2018 launch) Chinese satellite having a new level of light sensing technology which allows separating out light from parks and plazas. They covered a large sample (49 cities), and made their sample representative of city type, city size, regions within China, etc. They also crossed-referenced with local housing data to ensure accurate balancing of their sample and to confirm that the satellite was successfully identifying light coming from housing blocks. They found vacancy rates of just under 20 percent in China's Tier 1 cities, and found rates above 20 percent in 40 of the 49 cities. They found the highest vacancy rates in western and northeastern cities, which are also the newest ones; that finding is consistent with the hypothesis of significant numbers of recently-built ghost cities. https://www.researchgate.net/publication/345092218_Housing_Vacancy_Rate_in_Major_Cities_in_China_Perspectives_from_Nighttime_Light_Data And Phil H (author of the blog Tang Poetry) writes: The price of housing in China has skyrocketed over the past few decades, as all those extra apartments have been built. I live in a pleasant but unremarkable southern city, and I paid London prices (about 4.5m yuan/$650k for a 1,300 sq ft flat). That seems to match Scott's hypothesis that high density leads to high prices. House prices here have risen much faster than incomes. They've risen in rural areas, too, but the increases in price in cities have been stratospheric. 4. Comments Accusing Me Of Not Considering Tokyo, Even Though I Included A Section In The Post On Why I Didn’t Think Tokyo Was Relevant I won’t name and shame people, but for example: You excluded Tokyo from your dataset. Tokyo has much higher density than SF and much lower price per sqft. Tokyo just kills this. Tokyo is bigger than New York and has significantly lower rent because they build more housing! This is in a wealthy country with even lower interest rates than the US. I don't think you have justified excluding non-US metros, like Tokyo, or Auckland. Doesn't this lead to the natural conclusion that there is a sufficient level of housing to build, and that the problem is that the USA's many metros are structured to prevent housing? It seems like you're just arguing that US metros are bad at building housing, which is also what Matt Yglesias is arguing. "Change my mind about housing, but don't mention Tokyo" is like saying "Change my mind about gun possession, but don't mention Switzerland." You can't test the effect of allowing new housing unless you're willing to look at cities that do, in fact, allow it. Tokyo and NYC both attract tons of new residents But Tokyo's housing rents have been stable, while NYC rents keep rising. Why? Tokyo has permissive housing construction laws. NYC makes building new housing almost illegal. Yes, dense cities are attractive, and that makes them get more dense over time. But it only makes them more expensive if you forbid new housing to keep up with the new residents. Tokyo! But I’m like the 10th person to bring it up… As I wrote on the original post (not even edited in! it’s been there the whole time!): I worry someone will bring up Tokyo as a counterexample. But I think Tokyo managed to build its way to low housing prices in the context of the rest of Japan also having good housing policy. Even if that isn’t true, Tokyo on its own is a quarter of the Japanese market, so it might be able to exhaust the entire pool of Japanese house-seekers by itself! That is, yes, you’re all correct that cities are only expensive in the context of more demand for city housing than the (NIMBY-constrained) city housing market can currently supply. You are all correct that if this problem were solved at the national level, then city housing would be cheap, and every additional city house would make it cheaper. My claim is that marginal changes - like Oakland building an extra 10,000 units, but everyone else staying the same - will most likely increase Oakland prices. Yes, if Oakland unilaterally built 50 million units, that would soak up the entire excess demand and probably lower prices everywhere (including Oakland). Yes, if the entire US switched to good housing policy at the same time, that would probably lower prices everywhere (including Oakland). But if we don’t do any of that stuff, and just build another 10,000 houses in Oakland, I think it would probably increase prices in Oakland. Some other people brought up that Japan has a declining population, and it’s much easier to have low house prices when your population is declining (compared to some previous time when number of houses presumably matched number of people), but ddd pointed out that people continue to migrate from the Japanese countryside to Tokyo, so its population continues to increase. Also, Mike (I’m stitching together two comments here): In a country with a declining population, you would expect that fewer homes are being built per capita because there's little to no competition for existing homes. But it's exactly the opposite! Japan builds far more homes per capita than the US does, despite their declining population […] As a result, the average Japanese home is very new and the average house is torn down and replaced after a relatively short 30 years. They're living in nice new homes for cheaper. 5. Comments Accusing Me Of Not Understanding Economics Maximum Limelihood Estimator writes: I think you're making a very common mistake here of confusing supply/demand with *quantity* supplied or quantity demanded. (This is very common! we teach students about this in micro 101 because it's so easy to make!) What you're seeing is that the quantity supplied is correlated with housing prices (true!). But this is very different from establishing that the supply curve--i.e. the amount of housing that would be produced at any given price, and what moves up/down when we regulate/deregulate supply--is positively correlated with price. Figuring out what supply curves look like is a lot less intuitive and requires some high-grade econometrics, which is why economists had to set up a whole commission just to study this particular problem (the Cowles Commission). In terms of resources for understanding how these concepts are different, a micro 101 textbook will cover this distinction. For the econometrics side of this, I've heard good things about Scott Cunningham's *Causal Inference Mixtape*, although I haven't personally used it. My claim is that increasing density within a city shifts the demand curve for housing within that city, because of increasing desirability. MLE later gets more on point: The effect you're discussing here is kind of real in a sense. When the marginal utility of housing increases for *other* people, density arguably becomes more desirable for me, which is kind of like the demand curve shifting up. These are called bandwagon goods and discussed here: http://econfac.bsu.edu/research/workingpapers/bsuecwp200804gisser.pdf In theory, the bandwagon effect could be so strong that parts of the demand curve are upward-sloping. Solutions like this are not, technically, prohibited by the laws of mathematics, just the laws of economics. (And arguably of physics--see paper for conditions where these kinds of bandwagon effects imply the amount of housing in the city would have to be negative). In practice, this effect exists but just can't overcome the normal, non-weird economics that says "making more of a good makes the prices fall." Again, I claim the existence of Manhattan vs. Conanicut shows that sometimes it does. I cannot find the words “housing”, “real estate”, or “land value” anywhere in that paper. Alex Poterack writes: There's two things going on here: confusing shifts in demand with movement along the demand curve, and getting causation backwards. You're assuming density causes prosperity, rather than prosperity causing density. There are ways the former can happen, but the bigger thing is that, for a wide range of historical reasons, you can make a lot of money in NYC and SF, so lots of people want to live there, so they get very dense. This is the prosperity shifting demand right, so at any given price, more people want to live there; this drives prices up, and they go higher the more fixed supply is. If you built a bunch of housing in Oakland, lots of people would move there because it's cheaper, which is movement along the demand curve; it's still the same number of people who want to live there at any price. Now, it's possible that the increased number of people living there makes the city more prosperous (this is the phenomenon of induced demand), which would shift demand right, but there are way more differences between NYC/SF and Oakland than just the density, so I don't think it would shift demand enough to offset this. In particular, if it's just a small increase in small, it's also a small increase in density, so there's almost no shift in demand (but there is movement along the curve). I still think this is missing my point, but I present it here in case anyone else is enlightened by it and wants to try further to convince me I’m making this mistake. 6. Comments By Famous People Who Potentially Have Good Opinions Scott Sumner is an economist and blogger; he writes: It is certainly the case that building more housing can make a city more desirable, and that this effect could be so strong that it overwhelms the price depressing impact of a greater quantity supplied. But studies suggest that this is not generally the case. Texas provides a nice case study. Among Texas’s big metro areas, Austin has the tightest restrictions on building and Houston is the most willing to allow dense infill development. Even though Houston is the larger city, house prices are far higher in Austin: Houston pretty much describes the “Oakland with more housing” outcome that Alexander views as somewhat far-fetched. Only in this case, it’s Austin with more housing. Alexander seems too quick to accept the, “If you build it they will come” idea—that you can build more housing and thereby boost demand so much that prices actually rise. I started the post with a graph of about 50 cities, showing a positive correlation between density and price. I’m having trouble seeing how Sumner’s point isn’t just “if you remove 48 of those cities and cherry-pick two, the relationship is negative”. My attempt to place Austin and Houston on the original graph, using Sumner’s data plus a few other things available online. Why weren’t they on there already? Maybe because the graph is metro areas and Sumner was talking about Austin and Houston as cities, but I’m not sure and agree this is confusing. Everyone knows Austin is more expensive than Houston because Austin is a trendy tech and culture hub and Houston isn’t (and relatedly, because Austin’s median family income is 50% higher than Houston’s). Unless someone wants to claim that its failure to build housing helped turn it into a trendy tech and culture hub, I don’t think there’s much point to this comparison. It’s true that Houston’s bigger size didn’t let it leapfrog over Austin to become a trendy tech and culture hub, which goes against some of what I claimed in the first part of this post. But I never claimed there would be a perfect 1-1 correlation between city size and trendiness, or that you could never find a pair of cities where one was bigger but the other was more trendy. Just that there would be a correlation. Moving on: Here’s the problem with this argument. It mixes up population change due to economic effects such as the benefits of agglomeration, with population changes due to regulatory changes such as less strict zoning. If you look at things this way, then the stylized facts work against Alexander’s argument. Over the past 50 years, increasingly strict zoning has reduced housing construction on big cities like New York and San Francisco. As a result, their populations have increased by less than in cities with less strict zoning, such as Houston. If Alexander were correct, then the price gap between the tightly controlled cities on the coast and the more laissez-faire cities of Middle America should have shrunk over time. Instead, the price gap has widened. New York and San Francisco were always more expensive than other cites, but with tighter zoning and less new construction the gap has become far wider. During the last fifty years, there was also deindustrialization and demographic sorting. This is just the Austin vs. Houston story all over again. Alexander is implicitly viewing this outcome as a “problem” for the city that builds more housing. They must sacrifice so that the rest of the country can gain. But in his scenario, Oakland is better off. Indeed if it were not better off, then why would more people choose to live in Oakland? In order for it to be true that building more housing boosts housing prices, it must also be true that the quality of existing houses (including neighborhood effects) rises by more than enough to offset the increase in supply. That means the new housing construction must make Oakland such a desirable place to live that the amenity effect overwhelms the quantity effect [...] Of course, economic change always has winners and losers. Here’s how I would describe the impact of allowing more housing construction in Oakland, in the unlikely event that this did raise housing prices: 1. America would benefit. 2. Oakland would benefit. 3. Poor people in America would benefit, in aggregate. 4. Affluent people in America would benefit, in aggregate. 5. Homeowners in Oakland would benefit. 6. Some renters in Oakland would benefit (from a more economically dynamic city.) 7. Some renters in Oakland would suffer from higher rents. In the much more likely case where new housing construction would lower prices, the impact described in #5 and #7 might reverse. Either way, there is no defensible argument for not building more housing in Oakland, regardless of the impact on price. If building more housing reduces its price, then there is a strong argument for allowing more housing construction. If building more housing raises its price, then the argument for more construction is even stronger. I agree with all this. Jeremiah Johnson is a co-founder of the Center for New Liberalism, host of the Neoliberal Podcast, and a YIMBY activist (not to be confused with Jeremiah “Liver-Eating” Johnson, who killed 300 Native Americans and ate their livers). He writes: Here's why you're wrong in a single sentence: Demand causes high prices, not new units. Prices are high in SF and NYC because those are desirable places to live for a huge number of people. People all over the country and the world would live there if they could, and prices reflect that. The fact that the densest cities are the most expensive is true. But the high prices are not caused by density - rather, the density and the high prices are both a consequence of crushingly high demand […] There's a feedback loop, but what matters here is the elasticity, which is less than one. We can measure this empirically. New housing lowers prices via the mechanism of adding supply, which is basic economics and how we expect markets to work. New housing could raise prices if it also made the city a more desirable place to live and shifted people's preferences, such that there was more demand to live there after the new housing is built. If you think it's unclear which of these effects would dominate, luckily we have empirical data that over and over and over shows adding housing supply does indeed lower prices on a local level. This is a fairly well established result that replicates well. edit: I'm actually thinking about drawing out the weighted DAG graphs here to make the conceptual stuff easier, but it would be pretty long. I'd love to do this as a guest post. I’m skeptical of the empirical results because they don’t match the much stronger “Manhattan vs. Conanicut island” empirical results, and if I try to think about why, the best explanation I can think of is that the Manhattan experiment has been going on longer (ie long enough for Manhattan’s extra residents to found businesses and institutions that attract new people). I’ve told him he can try pitching this guest post to me; in either case, I would be interested in seeing the graphs. Several other people also posted this graph that Johnson helped make famous: Hopefully by now you can predict my objection: the places in the southeast corner are mostly unfashionable red state Sun Belt cities; the places in the northwest corner are mostly trendy liberal coastal cities. My conclusion is that trendy liberal coastal cities are both more NIMBY and more desirable, and if you use this to draw any conclusions about housing policy you’ll just end up confused. But maybe I should take this same lesson to heart myself. Dense cities are mostly trendy liberal coastal cities; uninhabited tundra in North Dakota isn’t. Maybe the demand is just for trendy liberal coastal cities, and once you attain that status, extra density doesn’t matter that much. Maybe Oakland has already maxed out its “trendy liberal coastal city” status, and even if it became Manhattan-sized, it wouldn’t get any trendier, or would get trendier only with a long time lag. There are a few very trendy small coastal villages in California (think eg Sea Ranch); maybe these (rather than North Dakota) are the natural control group for San Francisco. I think they are still cheaper than SF, but maybe not by very much. Cameron Murray is a housing economist whose work some other commenters recommended; he also writes the blog Fresh Economic Thinking. He very kindly showed up and wrote: I think you are in general right that agglomeration effects are real, which is why bigger cities have higher value to residents. I agree that people move locations. But I think you can go a step further. If one city is growing faster and densifying, surely those people are not demanding homes in other cities and those cities build slower. This is part of the spatial equilibrium story that further makes claims about “build density and get cheap homes” less plausible. 7. My Final Thoughts + Poll Thanks to everyone who commented on this post and helped me refine my thoughts. I’m willing to concede the following points: It might be that only attracting the sort of educated people who found companies, universities, etc will make housing prices go up. Less educated people will take more jobs than they create and not ratchet up the city’s desirability level. (I’d previously told commenters talking about “gentrification” that it was irrelevant to the mechanism I was talking about here, but maybe it isn’t - maybe “gentrifiers” are the people creating more jobs and institutions than they consume, and so homes that attract them in particular will increase demand more than they increase supply? Maybe this discussion does reduce to the gentrification discussion?)
Inline links: https://substackcdn.com/image/fetch/$s_!_tzy!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fdac57667-98e2-40ff-bc78-7f3568efab8d_237x162.png, writes, writes, https://substackcdn.com/image/fetch/$s_!PkSC!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd8f1265d-d113-4d13-87cb-0d1985389b4d_1000x750.jpeg, source, Tom Thought, https://substackcdn.com/image/fetch/$s_!86gT!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F5788a8dd-c5ee-4111-be67-9c1533f7410b_335x172.png, Infinite Scroll, writes, Last House On The Left, writes, writes, quotes, Under-occupied Developments In China, writes, China’s Ghost Cities Are Finally Stirring To Life After Years Of Empty Streets., https://substackcdn.com/image/fetch/$s_!AAuI!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F5d6a6159-a16f-45e3-b15a-e62cb2c73336_1200x900.jpeg, this list of real estate prices across Chinese cities, Paul Botts, https://www.researchgate.net/publication/345092218_Housing_Vacancy_Rate_in_Major_Cities_in_China_Perspectives_from_Nighttime_Light_Data, Tang Poetry, writes, ddd pointed out, Mike, Maximum Limelihood Estimator, gets more on point, http://econfac.bsu.edu/research/workingpapers/bsuecwp200804gisser.pdf, writes, writes:, far higher in Austin, https://substackcdn.com/image/fetch/$s_!tAF8!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F03f2b338-da84-4d85-b71c-0ce2e02e10e1_685x559.png, https://substackcdn.com/image/fetch/$s_!mLwn!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F9cf942da-5716-49e8-a177-20140681e7fc_573x421.png, Center for New Liberalism, the Neoliberal Podcast, Jeremiah “Liver-Eating” Johnson, Johnson helped make famous, https://substackcdn.com/image/fetch/$s_!tg5t!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc490a60a-3e97-4b73-9806-79bb967b5172_608x550.png, Sea Ranch, some other commenters, Fresh Economic Thinking, wrote
My attempt to place Austin and Houston on the original graph, using Sumner’s data plus a few other things available online. Why weren’t they on there already? Maybe because the graph is metro areas and Sumner was talking about Austin and Houston as cities, but I’m not sure and agree this is confusing. Everyone knows Austin is more expensive than Houston because Austin is a trendy tech and culture hub and Houston isn’t (and relatedly, because Austin’s median family income is 50% higher than Houston’s). Unless someone wants to claim that its failure to build housing helped turn it into a trendy tech and culture hub, I don’t think there’s much point to this comparison. It’s true that Houston’s bigger size didn’t let it leapfrog over Austin to become a trendy tech and culture hub, which goes against some of what I claimed in the first part of this post. But I never claimed there would be a perfect 1-1 correlation between city size and trendiness, or that you could never find a pair of cities where one was bigger but the other was more trendy. Just that there would be a correlation. Moving on: Here’s the problem with this argument. It mixes up population change due to economic effects such as the benefits of agglomeration, with population changes due to regulatory changes such as less strict zoning. If you look at things this way, then the stylized facts work against Alexander’s argument. Over the past 50 years, increasingly strict zoning has reduced housing construction on big cities like New York and San Francisco. As a result, their populations have increased by less than in cities with less strict zoning, such as Houston. If Alexander were correct, then the price gap between the tightly controlled cities on the coast and the more laissez-faire cities of Middle America should have shrunk over time. Instead, the price gap has widened. New York and San Francisco were always more expensive than other cites, but with tighter zoning and less new construction the gap has become far wider. During the last fifty years, there was also deindustrialization and demographic sorting. This is just the Austin vs. Houston story all over again. Alexander is implicitly viewing this outcome as a “problem” for the city that builds more housing. They must sacrifice so that the rest of the country can gain. But in his scenario, Oakland is better off. Indeed if it were not better off, then why would more people choose to live in Oakland? In order for it to be true that building more housing boosts housing prices, it must also be true that the quality of existing houses (including neighborhood effects) rises by more than enough to offset the increase in supply. That means the new housing construction must make Oakland such a desirable place to live that the amenity effect overwhelms the quantity effect [...] Of course, economic change always has winners and losers. Here’s how I would describe the impact of allowing more housing construction in Oakland, in the unlikely event that this did raise housing prices: 1. America would benefit. 2. Oakland would benefit. 3. Poor people in America would benefit, in aggregate. 4. Affluent people in America would benefit, in aggregate. 5. Homeowners in Oakland would benefit. 6. Some renters in Oakland would benefit (from a more economically dynamic city.) 7. Some renters in Oakland would suffer from higher rents. In the much more likely case where new housing construction would lower prices, the impact described in #5 and #7 might reverse. Either way, there is no defensible argument for not building more housing in Oakland, regardless of the impact on price. If building more housing reduces its price, then there is a strong argument for allowing more housing construction. If building more housing raises its price, then the argument for more construction is even stronger. I agree with all this. Jeremiah Johnson is a co-founder of the Center for New Liberalism, host of the Neoliberal Podcast, and a YIMBY activist (not to be confused with Jeremiah “Liver-Eating” Johnson, who killed 300 Native Americans and ate their livers). He writes: Here's why you're wrong in a single sentence: Demand causes high prices, not new units. Prices are high in SF and NYC because those are desirable places to live for a huge number of people. People all over the country and the world would live there if they could, and prices reflect that. The fact that the densest cities are the most expensive is true. But the high prices are not caused by density - rather, the density and the high prices are both a consequence of crushingly high demand […] There's a feedback loop, but what matters here is the elasticity, which is less than one. We can measure this empirically. New housing lowers prices via the mechanism of adding supply, which is basic economics and how we expect markets to work. New housing could raise prices if it also made the city a more desirable place to live and shifted people's preferences, such that there was more demand to live there after the new housing is built. If you think it's unclear which of these effects would dominate, luckily we have empirical data that over and over and over shows adding housing supply does indeed lower prices on a local level. This is a fairly well established result that replicates well. edit: I'm actually thinking about drawing out the weighted DAG graphs here to make the conceptual stuff easier, but it would be pretty long. I'd love to do this as a guest post. I’m skeptical of the empirical results because they don’t match the much stronger “Manhattan vs. Conanicut island” empirical results, and if I try to think about why, the best explanation I can think of is that the Manhattan experiment has been going on longer (ie long enough for Manhattan’s extra residents to found businesses and institutions that attract new people). I’ve told him he can try pitching this guest post to me; in either case, I would be interested in seeing the graphs. Several other people also posted this graph that Johnson helped make famous: Hopefully by now you can predict my objection: the places in the southeast corner are mostly unfashionable red state Sun Belt cities; the places in the northwest corner are mostly trendy liberal coastal cities. My conclusion is that trendy liberal coastal cities are both more NIMBY and more desirable, and if you use this to draw any conclusions about housing policy you’ll just end up confused. But maybe I should take this same lesson to heart myself. Dense cities are mostly trendy liberal coastal cities; uninhabited tundra in North Dakota isn’t. Maybe the demand is just for trendy liberal coastal cities, and once you attain that status, extra density doesn’t matter that much. Maybe Oakland has already maxed out its “trendy liberal coastal city” status, and even if it became Manhattan-sized, it wouldn’t get any trendier, or would get trendier only with a long time lag. There are a few very trendy small coastal villages in California (think eg Sea Ranch); maybe these (rather than North Dakota) are the natural control group for San Francisco. I think they are still cheaper than SF, but maybe not by very much. Cameron Murray is a housing economist whose work some other commenters recommended; he also writes the blog Fresh Economic Thinking. He very kindly showed up and wrote: I think you are in general right that agglomeration effects are real, which is why bigger cities have higher value to residents. I agree that people move locations. But I think you can go a step further. If one city is growing faster and densifying, surely those people are not demanding homes in other cities and those cities build slower. This is part of the spatial equilibrium story that further makes claims about “build density and get cheap homes” less plausible. 7. My Final Thoughts + Poll Thanks to everyone who commented on this post and helped me refine my thoughts. I’m willing to concede the following points: It might be that only attracting the sort of educated people who found companies, universities, etc will make housing prices go up. Less educated people will take more jobs than they create and not ratchet up the city’s desirability level. (I’d previously told commenters talking about “gentrification” that it was irrelevant to the mechanism I was talking about here, but maybe it isn’t - maybe “gentrifiers” are the people creating more jobs and institutions than they consume, and so homes that attract them in particular will increase demand more than they increase supply? Maybe this discussion does reduce to the gentrification discussion?)
Inline links: Center for New Liberalism, the Neoliberal Podcast, Jeremiah “Liver-Eating” Johnson, Johnson helped make famous, https://substackcdn.com/image/fetch/$s_!tg5t!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc490a60a-3e97-4b73-9806-79bb967b5172_608x550.png, Sea Ranch, some other commenters, Fresh Economic Thinking, wrote
Makeshift housing in a North Dakota oil boom town (source) If each person creates half a job, the original 1,000 oilmen attract 500 service workers, those 500 attract another 250, and so on until population stabilizes at 2,000 people. In this model, if there are fewer than 2,000 houses in the town, demand exceeds supply (no matter what is going on in the rest of the country), but if there are more than 2,000, supply exceeds demand. So if we imagine Google’s presence as an oil-like resource, the extra demand for housing in the Bay should gradually decline: at some point, you will have finished housing the Google workers and the service workers who support them. But this isn’t right either, because Google isn’t a natural resource - it’s a company founded by Bay Area residents. If you got more Bay Area residents, you would (with some delay) get more Googles. Or: Austin gets lots of jobs from Tesla. Tesla wasn’t founded by Austinites. But it moved to Austin when it became a known “tech hub”, ie a place with lots of tech companies and tech employees. It wouldn’t have moved to Austin if Austin was still an uninhabited plain or a one-horse town. So as Austin got bigger, it attracted more tech companies. So in both the Bay Area case and the Austin case, having more people attracted more tech companies, either because the residents themselves found the company or because the company gets attracted to this newly bustling city. Potential counterargument: Each new Bay Area resident gives the Bay another lottery ticket to found the next Google. If having the first Google gets it an extra 1 million people, but there are 300 million people in the US, then those extra 1 million only give it a 1/300 chance of winning the next lottery. So even though the Bay Area won the lottery once, and this made it have high demand, this doesn’t mean the high demand will cause it to win more lotteries. If you win the lottery once, spend all your winnings on more lottery tickets, and keep doing this forever, you haven’t invented an infinite money printing machine, eventually you’ll just lose. Potential counter-counter-argument: the Bay got Google, and Facebook, and Apple, and . . . so these can’t all be separate lotteries. I think you should probably model it as a high-level lottery to become the next hub of a tech-sized industry, plus many low-level lotteries where once you’re the tech hub, you’re attracting lots of techies, and each techie gives you a ticket in a lottery where the denominator is the number of techies to found the next big tech company. And the Bay might have half the US’s techie population. So maybe here there is a self-sustaining lottery-winning cycle, at least until tech plays itself out and nobody wants any more tech companies. And that might take a long time. Tom (author of Tom Thought) writes: The primary drivers of demand for living in NYC are the specific opportunities available in NYC. It is true that on long time horizons, one of the reasons these opportunities have tended to collect in NYC is that it is a dense place. But those aren't the only reasons - NYC is much more important than other, bigger cities in other parts of the world for complex historical reasons. Even if a catastrophe were to wipe out half the city, there would still be a great deal of demand to live near important institutions like Broadway, Wall Street, Port of NY & NJ, Columbia, etc (assuming those institutions survived the catastrophe). Increasing the number of housing units has a very mechanical impact on how many people can live in the place. But it has only a second-order impact on the types of institutions that drive demand to live in the city. People don't just generically crave to live near other people for the most part (a handful of urbanist freaks like myself excepted). The Bay Area is a great example of this. It is much less populated than other much cheaper cities. Density isn't why people want to live there - it's access to a specific culture and specific institutions. Demand for that is not simply a function of density - some people want to be part of Bay Area culture and others don't. Adding more units will induce some demand as a second-order effect, but will bring prices down as a first-order effect. To relate this to your model: we might be able to say that the country has a certain number of abstract "culture points" that have been allocated to different cities by various historical forces. Each culture point a city has increases demand to live in that city by a certain amount. Adding more people to the city may allow it to generate additional culture points over time, or acquire culture points from other cities, but this doesn't happen right away, and is determined by a host of factors other than just density. Under this model, we expect a place like NYC to always cost much more than North Dakota (since NYC possesses a large number of culture points), but we would also expect that adding additional housing units to NYC would bring costs down (since there are now additional housing units per culture point). Perhaps this process will over time allow NYC to steal away some culture points from Chicago, Boston, or other cities, but this is a secondary effect. This just seems to be passing the buck. Yes, people move to New York because it has Broadway, Columbia University, and Wall Street. Why does it have those things? Because one in every X New York citizens founds a good artistic/educations/financial institution, and New York has a large population of employees to work at those institutions and customers to patronize those institutions. If Conanicut Island had a population of 10 million people instead of Manhattan, there would be lots of great institutions on Conanicut and it would have more culture points. I don’t think it’s a culture-point game and population/density just sort of occasionally redistributes culture points, I think to a first approximation culture points just track population/density. Maybe they track the population/density of upper class people better than the total population/density, but I don’t think this is a big enough distinction to sink the argument. 3. Comments About Chinese Ghost Cities Some people brought these up as a good natural experiment: the Chinese really did try building millions of houses on their equivalent of a North Dakota plain. What happened? Jeremiah Johnson (author of Infinite Scroll) writes: You currently seem like you're at the stage of understanding the thought experiments pretty well, but not understanding them on a DEEP level. For example with your hypothetical, this has actually happened before! Kind of. China built a bunch of 'ghost cities' basically out of nothing, and while there was an initial craze of speculation and tons of investment and building... nobody went to live in those cities most of the time. And now they're deeply distressed assets worth basically nothing. When nobody actually lives in the ghost city, it doesn't matter that they have super dense housing. There's no demand. (the only reason they might be worth something is that the CCP very, very much does not want to pop their huge housing bubble and is likely to bail out some of the parties involved) Parmenides (author of Last House On The Left) writes: I think your mixing up the agglomeration effects of density, which is what induces the demand, and the housing supply. You can't just build a city and expect people to move in, China has tried that. But if you have the agglomeration effects of density and shortage of housing due to artificial constraints, which we have all across the US, then you get dense areas with high housing costs. sdwr writes: Think of China's ghost cities / apartment blocks. Prices surely can't be that high there. Maybe the answer is that developers are good at their job, and build supply where theres demand for it? But several other people object that although the Western press made a big deal about Chinese ghost cities a few years ago, it mostly just took a couple of years for people to move in, and now at least some of them seem to be thriving. For example, Michael quotes the Wikipedia article, Under-occupied Developments In China: Reporting in 2018, Shepard noted that "Today, China’s so-called ghost cities that were so prevalently showcased in 2013 and 2014 are no longer global intrigues. They have filled up to the point of being functioning, normal cities". Ash Lael writes: I'm sceptical of the Chinese "ghost city" phenomenon. I haven't explored the issue rigorously but my impression is that in areas that were previously dismissed as "ghost cities" like Ordos Kangbashi, the population is now large and growing. I think we in the west are so used to infrastructure bottlenecks and short sightedness and anti-construction policies that the idea of it being possible to build the housing and infrastructure to accomodate expected demand ten years in the future is completely foreign to us. Perhaps building brand new cities before they are even needed is what the YIMBY utopia looks like. See also Bloomberg: China’s Ghost Cities Are Finally Stirring To Life After Years Of Empty Streets. This wasn’t trivial. It looks like the Chinese government had to put in some work to make people move in, including opening good schools and universities there. Probably if they had just built apartments in the middle of the desert and nothing else, they would have stayed empty. But that’s even more of a reductio ad absurdum than the original ghost city plan. Kangbashi, China’s most famous ghost city. What are housing prices like in the ghost city? Again from Bloomberg: Sitting on the southern outskirts of Inner Mongolia’s Ordos City (population 2.2 million), Kangbashi was the archetypal ghost city 10 years ago, with barren boulevards and empty buildings standing forlornly in the desert. Local officials are adamant that things have changed. They say 91% of homes in the district are occupied. In fact, after a yearslong construction freeze, the government approved six housing projects in 2020 and expects 3,000 homes to be built by the end of this year. Apartments in a new development are selling for 9,500 yuan per square meter, and downtown they go for 15,000 to 16,000 yuan, according to Liu Yueyue, 28, a salesman at a new residential development in the district’s northeast. “Would houses in a ghost town sell at such high prices?” asks Liu. Half of his customers come from outside Kangbashi, and most are parents who want to send their children to the well-regarded local schools, he says. Looking at this list of real estate prices across Chinese cities, Kangbashi seems squarely in the middle - for example, Wuhan and Xian are also in the 15,000 - 16,000 range. I claim this supports my argument: surely twenty years ago, houses in this particular deserted corner of Inner Mongolia would have been dirt cheap (if any even existed). But if you build a city there, it becomes just as expensive as any other city! Here it’s very obvious that the density caused the high prices instead of the other way around. Still, the Chinese housing market is weird, with significant vacancies even in expensive, well-developed cities. Paul Botts: No official vacancy rates are published in China and no specific definition of it exists there. Various think tanks and researchers both within that country and elsewhere have published estimates ranging from as low as 11 percent to as high as 24 percent. Those estimates have been for varying samples of Chinese cities, have used various definitions of housing vacancy rate, etc. The best (as in most systematic) estimate yet produced has come from researchers at a university in Liaoning. They used night-time urban lightsheds captured by a new (2018 launch) Chinese satellite having a new level of light sensing technology which allows separating out light from parks and plazas. They covered a large sample (49 cities), and made their sample representative of city type, city size, regions within China, etc. They also crossed-referenced with local housing data to ensure accurate balancing of their sample and to confirm that the satellite was successfully identifying light coming from housing blocks. They found vacancy rates of just under 20 percent in China's Tier 1 cities, and found rates above 20 percent in 40 of the 49 cities. They found the highest vacancy rates in western and northeastern cities, which are also the newest ones; that finding is consistent with the hypothesis of significant numbers of recently-built ghost cities. https://www.researchgate.net/publication/345092218_Housing_Vacancy_Rate_in_Major_Cities_in_China_Perspectives_from_Nighttime_Light_Data And Phil H (author of the blog Tang Poetry) writes: The price of housing in China has skyrocketed over the past few decades, as all those extra apartments have been built. I live in a pleasant but unremarkable southern city, and I paid London prices (about 4.5m yuan/$650k for a 1,300 sq ft flat). That seems to match Scott's hypothesis that high density leads to high prices. House prices here have risen much faster than incomes. They've risen in rural areas, too, but the increases in price in cities have been stratospheric. 4. Comments Accusing Me Of Not Considering Tokyo, Even Though I Included A Section In The Post On Why I Didn’t Think Tokyo Was Relevant I won’t name and shame people, but for example: You excluded Tokyo from your dataset. Tokyo has much higher density than SF and much lower price per sqft. Tokyo just kills this. Tokyo is bigger than New York and has significantly lower rent because they build more housing! This is in a wealthy country with even lower interest rates than the US. I don't think you have justified excluding non-US metros, like Tokyo, or Auckland. Doesn't this lead to the natural conclusion that there is a sufficient level of housing to build, and that the problem is that the USA's many metros are structured to prevent housing? It seems like you're just arguing that US metros are bad at building housing, which is also what Matt Yglesias is arguing. "Change my mind about housing, but don't mention Tokyo" is like saying "Change my mind about gun possession, but don't mention Switzerland." You can't test the effect of allowing new housing unless you're willing to look at cities that do, in fact, allow it. Tokyo and NYC both attract tons of new residents But Tokyo's housing rents have been stable, while NYC rents keep rising. Why? Tokyo has permissive housing construction laws. NYC makes building new housing almost illegal. Yes, dense cities are attractive, and that makes them get more dense over time. But it only makes them more expensive if you forbid new housing to keep up with the new residents. Tokyo! But I’m like the 10th person to bring it up… As I wrote on the original post (not even edited in! it’s been there the whole time!): I worry someone will bring up Tokyo as a counterexample. But I think Tokyo managed to build its way to low housing prices in the context of the rest of Japan also having good housing policy. Even if that isn’t true, Tokyo on its own is a quarter of the Japanese market, so it might be able to exhaust the entire pool of Japanese house-seekers by itself! That is, yes, you’re all correct that cities are only expensive in the context of more demand for city housing than the (NIMBY-constrained) city housing market can currently supply. You are all correct that if this problem were solved at the national level, then city housing would be cheap, and every additional city house would make it cheaper. My claim is that marginal changes - like Oakland building an extra 10,000 units, but everyone else staying the same - will most likely increase Oakland prices. Yes, if Oakland unilaterally built 50 million units, that would soak up the entire excess demand and probably lower prices everywhere (including Oakland). Yes, if the entire US switched to good housing policy at the same time, that would probably lower prices everywhere (including Oakland). But if we don’t do any of that stuff, and just build another 10,000 houses in Oakland, I think it would probably increase prices in Oakland. Some other people brought up that Japan has a declining population, and it’s much easier to have low house prices when your population is declining (compared to some previous time when number of houses presumably matched number of people), but ddd pointed out that people continue to migrate from the Japanese countryside to Tokyo, so its population continues to increase. Also, Mike (I’m stitching together two comments here): In a country with a declining population, you would expect that fewer homes are being built per capita because there's little to no competition for existing homes. But it's exactly the opposite! Japan builds far more homes per capita than the US does, despite their declining population […] As a result, the average Japanese home is very new and the average house is torn down and replaced after a relatively short 30 years. They're living in nice new homes for cheaper. 5. Comments Accusing Me Of Not Understanding Economics Maximum Limelihood Estimator writes: I think you're making a very common mistake here of confusing supply/demand with *quantity* supplied or quantity demanded. (This is very common! we teach students about this in micro 101 because it's so easy to make!) What you're seeing is that the quantity supplied is correlated with housing prices (true!). But this is very different from establishing that the supply curve--i.e. the amount of housing that would be produced at any given price, and what moves up/down when we regulate/deregulate supply--is positively correlated with price. Figuring out what supply curves look like is a lot less intuitive and requires some high-grade econometrics, which is why economists had to set up a whole commission just to study this particular problem (the Cowles Commission). In terms of resources for understanding how these concepts are different, a micro 101 textbook will cover this distinction. For the econometrics side of this, I've heard good things about Scott Cunningham's *Causal Inference Mixtape*, although I haven't personally used it. My claim is that increasing density within a city shifts the demand curve for housing within that city, because of increasing desirability. MLE later gets more on point: The effect you're discussing here is kind of real in a sense. When the marginal utility of housing increases for *other* people, density arguably becomes more desirable for me, which is kind of like the demand curve shifting up. These are called bandwagon goods and discussed here: http://econfac.bsu.edu/research/workingpapers/bsuecwp200804gisser.pdf In theory, the bandwagon effect could be so strong that parts of the demand curve are upward-sloping. Solutions like this are not, technically, prohibited by the laws of mathematics, just the laws of economics. (And arguably of physics--see paper for conditions where these kinds of bandwagon effects imply the amount of housing in the city would have to be negative). In practice, this effect exists but just can't overcome the normal, non-weird economics that says "making more of a good makes the prices fall." Again, I claim the existence of Manhattan vs. Conanicut shows that sometimes it does. I cannot find the words “housing”, “real estate”, or “land value” anywhere in that paper. Alex Poterack writes: There's two things going on here: confusing shifts in demand with movement along the demand curve, and getting causation backwards. You're assuming density causes prosperity, rather than prosperity causing density. There are ways the former can happen, but the bigger thing is that, for a wide range of historical reasons, you can make a lot of money in NYC and SF, so lots of people want to live there, so they get very dense. This is the prosperity shifting demand right, so at any given price, more people want to live there; this drives prices up, and they go higher the more fixed supply is. If you built a bunch of housing in Oakland, lots of people would move there because it's cheaper, which is movement along the demand curve; it's still the same number of people who want to live there at any price. Now, it's possible that the increased number of people living there makes the city more prosperous (this is the phenomenon of induced demand), which would shift demand right, but there are way more differences between NYC/SF and Oakland than just the density, so I don't think it would shift demand enough to offset this. In particular, if it's just a small increase in small, it's also a small increase in density, so there's almost no shift in demand (but there is movement along the curve). I still think this is missing my point, but I present it here in case anyone else is enlightened by it and wants to try further to convince me I’m making this mistake. 6. Comments By Famous People Who Potentially Have Good Opinions Scott Sumner is an economist and blogger; he writes: It is certainly the case that building more housing can make a city more desirable, and that this effect could be so strong that it overwhelms the price depressing impact of a greater quantity supplied. But studies suggest that this is not generally the case. Texas provides a nice case study. Among Texas’s big metro areas, Austin has the tightest restrictions on building and Houston is the most willing to allow dense infill development. Even though Houston is the larger city, house prices are far higher in Austin: Houston pretty much describes the “Oakland with more housing” outcome that Alexander views as somewhat far-fetched. Only in this case, it’s Austin with more housing. Alexander seems too quick to accept the, “If you build it they will come” idea—that you can build more housing and thereby boost demand so much that prices actually rise. I started the post with a graph of about 50 cities, showing a positive correlation between density and price. I’m having trouble seeing how Sumner’s point isn’t just “if you remove 48 of those cities and cherry-pick two, the relationship is negative”. My attempt to place Austin and Houston on the original graph, using Sumner’s data plus a few other things available online. Why weren’t they on there already? Maybe because the graph is metro areas and Sumner was talking about Austin and Houston as cities, but I’m not sure and agree this is confusing. Everyone knows Austin is more expensive than Houston because Austin is a trendy tech and culture hub and Houston isn’t (and relatedly, because Austin’s median family income is 50% higher than Houston’s). Unless someone wants to claim that its failure to build housing helped turn it into a trendy tech and culture hub, I don’t think there’s much point to this comparison. It’s true that Houston’s bigger size didn’t let it leapfrog over Austin to become a trendy tech and culture hub, which goes against some of what I claimed in the first part of this post. But I never claimed there would be a perfect 1-1 correlation between city size and trendiness, or that you could never find a pair of cities where one was bigger but the other was more trendy. Just that there would be a correlation. Moving on: Here’s the problem with this argument. It mixes up population change due to economic effects such as the benefits of agglomeration, with population changes due to regulatory changes such as less strict zoning. If you look at things this way, then the stylized facts work against Alexander’s argument. Over the past 50 years, increasingly strict zoning has reduced housing construction on big cities like New York and San Francisco. As a result, their populations have increased by less than in cities with less strict zoning, such as Houston. If Alexander were correct, then the price gap between the tightly controlled cities on the coast and the more laissez-faire cities of Middle America should have shrunk over time. Instead, the price gap has widened. New York and San Francisco were always more expensive than other cites, but with tighter zoning and less new construction the gap has become far wider. During the last fifty years, there was also deindustrialization and demographic sorting. This is just the Austin vs. Houston story all over again. Alexander is implicitly viewing this outcome as a “problem” for the city that builds more housing. They must sacrifice so that the rest of the country can gain. But in his scenario, Oakland is better off. Indeed if it were not better off, then why would more people choose to live in Oakland? In order for it to be true that building more housing boosts housing prices, it must also be true that the quality of existing houses (including neighborhood effects) rises by more than enough to offset the increase in supply. That means the new housing construction must make Oakland such a desirable place to live that the amenity effect overwhelms the quantity effect [...] Of course, economic change always has winners and losers. Here’s how I would describe the impact of allowing more housing construction in Oakland, in the unlikely event that this did raise housing prices: 1. America would benefit. 2. Oakland would benefit. 3. Poor people in America would benefit, in aggregate. 4. Affluent people in America would benefit, in aggregate. 5. Homeowners in Oakland would benefit. 6. Some renters in Oakland would benefit (from a more economically dynamic city.) 7. Some renters in Oakland would suffer from higher rents. In the much more likely case where new housing construction would lower prices, the impact described in #5 and #7 might reverse. Either way, there is no defensible argument for not building more housing in Oakland, regardless of the impact on price. If building more housing reduces its price, then there is a strong argument for allowing more housing construction. If building more housing raises its price, then the argument for more construction is even stronger. I agree with all this. Jeremiah Johnson is a co-founder of the Center for New Liberalism, host of the Neoliberal Podcast, and a YIMBY activist (not to be confused with Jeremiah “Liver-Eating” Johnson, who killed 300 Native Americans and ate their livers). He writes: Here's why you're wrong in a single sentence: Demand causes high prices, not new units. Prices are high in SF and NYC because those are desirable places to live for a huge number of people. People all over the country and the world would live there if they could, and prices reflect that. The fact that the densest cities are the most expensive is true. But the high prices are not caused by density - rather, the density and the high prices are both a consequence of crushingly high demand […] There's a feedback loop, but what matters here is the elasticity, which is less than one. We can measure this empirically. New housing lowers prices via the mechanism of adding supply, which is basic economics and how we expect markets to work. New housing could raise prices if it also made the city a more desirable place to live and shifted people's preferences, such that there was more demand to live there after the new housing is built. If you think it's unclear which of these effects would dominate, luckily we have empirical data that over and over and over shows adding housing supply does indeed lower prices on a local level. This is a fairly well established result that replicates well. edit: I'm actually thinking about drawing out the weighted DAG graphs here to make the conceptual stuff easier, but it would be pretty long. I'd love to do this as a guest post. I’m skeptical of the empirical results because they don’t match the much stronger “Manhattan vs. Conanicut island” empirical results, and if I try to think about why, the best explanation I can think of is that the Manhattan experiment has been going on longer (ie long enough for Manhattan’s extra residents to found businesses and institutions that attract new people). I’ve told him he can try pitching this guest post to me; in either case, I would be interested in seeing the graphs. Several other people also posted this graph that Johnson helped make famous: Hopefully by now you can predict my objection: the places in the southeast corner are mostly unfashionable red state Sun Belt cities; the places in the northwest corner are mostly trendy liberal coastal cities. My conclusion is that trendy liberal coastal cities are both more NIMBY and more desirable, and if you use this to draw any conclusions about housing policy you’ll just end up confused. But maybe I should take this same lesson to heart myself. Dense cities are mostly trendy liberal coastal cities; uninhabited tundra in North Dakota isn’t. Maybe the demand is just for trendy liberal coastal cities, and once you attain that status, extra density doesn’t matter that much. Maybe Oakland has already maxed out its “trendy liberal coastal city” status, and even if it became Manhattan-sized, it wouldn’t get any trendier, or would get trendier only with a long time lag. There are a few very trendy small coastal villages in California (think eg Sea Ranch); maybe these (rather than North Dakota) are the natural control group for San Francisco. I think they are still cheaper than SF, but maybe not by very much. Cameron Murray is a housing economist whose work some other commenters recommended; he also writes the blog Fresh Economic Thinking. He very kindly showed up and wrote: I think you are in general right that agglomeration effects are real, which is why bigger cities have higher value to residents. I agree that people move locations. But I think you can go a step further. If one city is growing faster and densifying, surely those people are not demanding homes in other cities and those cities build slower. This is part of the spatial equilibrium story that further makes claims about “build density and get cheap homes” less plausible. 7. My Final Thoughts + Poll Thanks to everyone who commented on this post and helped me refine my thoughts. I’m willing to concede the following points: It might be that only attracting the sort of educated people who found companies, universities, etc will make housing prices go up. Less educated people will take more jobs than they create and not ratchet up the city’s desirability level. (I’d previously told commenters talking about “gentrification” that it was irrelevant to the mechanism I was talking about here, but maybe it isn’t - maybe “gentrifiers” are the people creating more jobs and institutions than they consume, and so homes that attract them in particular will increase demand more than they increase supply? Maybe this discussion does reduce to the gentrification discussion?)
Inline links: source, Tom Thought, https://substackcdn.com/image/fetch/$s_!86gT!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F5788a8dd-c5ee-4111-be67-9c1533f7410b_335x172.png, Infinite Scroll, writes, Last House On The Left, writes, writes, quotes, Under-occupied Developments In China, writes, China’s Ghost Cities Are Finally Stirring To Life After Years Of Empty Streets., https://substackcdn.com/image/fetch/$s_!AAuI!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F5d6a6159-a16f-45e3-b15a-e62cb2c73336_1200x900.jpeg, this list of real estate prices across Chinese cities, Paul Botts, https://www.researchgate.net/publication/345092218_Housing_Vacancy_Rate_in_Major_Cities_in_China_Perspectives_from_Nighttime_Light_Data, Tang Poetry, writes, ddd pointed out, Mike, Maximum Limelihood Estimator, gets more on point, http://econfac.bsu.edu/research/workingpapers/bsuecwp200804gisser.pdf, writes, writes:, far higher in Austin, https://substackcdn.com/image/fetch/$s_!tAF8!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F03f2b338-da84-4d85-b71c-0ce2e02e10e1_685x559.png, https://substackcdn.com/image/fetch/$s_!mLwn!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F9cf942da-5716-49e8-a177-20140681e7fc_573x421.png, Center for New Liberalism, the Neoliberal Podcast, Jeremiah “Liver-Eating” Johnson, Johnson helped make famous, https://substackcdn.com/image/fetch/$s_!tg5t!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc490a60a-3e97-4b73-9806-79bb967b5172_608x550.png, Sea Ranch, some other commenters, Fresh Economic Thinking, wrote
I won’t explain “confound” here, but I will give some examples. A few decades ago, researchers discovered that drinking coffee in America was associated with dying from lung cancer, whereas tea was the apparent culprit in the United Kingdom and Ireland. Eventually, the researchers noticed that people were likely to smoke when drinking coffee or tea. No effect of hot drinks was found for nonsmokers. Then there is the excess of Lisa Minelli vinyl in their record collections allegedly found to distinguish early victims of HIV/AIDS…Could a swift record burning have saved lives?
Did you correlate with political orientation? I'd expect that in the US, people willing to acknowledge they're bisexual are probably much more likely to be liberal than conservative/Republican/etc.; and that liberals/Democrats/etc. are probably, on average, more willing to acknowledge that they've had covid / that covid can be dangerous / etc.
This is true even though it’s a terrible question - it doesn’t establish how much you smoke, how often, whether you smoked as a teenager but not anymore but you still consider yourself “a smoker”, etc. You wouldn’t want to draw conclusions about the number of smokers in the US or the exact size of a smoking / lung cancer link from this. But you can absolutely say “smoking is correlated with lung cancer, more research needed to determine the size of this effect and what causes it”. That’s because, overall, the “smoker” group will smoke more than the “nonsmoker” group, and whatever effects smoking has will be higher in that group.
Japanese culture focuses on personal devotion and American culture focuses on personal enjoyment. The American culture is hedonistic. Work is for pleasure, Americans never have trouble with themselves, and money is spent. Americans with large savings are rare animals. Many people often do not know where to get the money tomorrow. Americans borrow money to buy houses, cars, college, etc. Spend it first. Japanese culture does not have a high personal position, and does not emphasize personal enjoyment, but rather advocates personal dedication, Japanese men work, many people have to work until midnight, are working long hours consciously and voluntarily, there is no overtime pay. I was told that if a Japanese man does not work until midnight at night in the company, people will think he has no drive and is not valued. The American standard of living is probably one of the highest in the world, surpassing Japan in housing, transportation, education, food, and environment, although the per capita income is not as high as in Japan. The hedonistic culture leads people to spend large sums of money on welfare rather than investment. The Japanese are typically “economic animals” with a strong desire to invest, but not as focused on personal enjoyment as the Americans.
The year was 1988. A decade earlier, Deng Xiaoping had announced plans for China to liberalize. The first sparks of capitalism had been kindled. The CCP wanted to fan those sparks into economic superpowerdom. But the only country with experience being an economic superpower, the United States, was as inscrutable to China as China is to us.
Enter Wang Huning, a young political scientist at Fudan University. He wanted to become an “America expert”. Toward that goal, he got a visiting scholar position in the most dynamic corner of the US - Iowa City, Iowa. His quest: to poke around Iowa until he figured out what the heck was going on with the United States, then report back. The result: America Against America, a 200 page book on US culture and institutions.
Inline links: America Against America
Compared to the past, have things gotten better, worse or stayed the same [regarding] treating African-Americans with respect and courtesy? (2002 vs. 2013)
Compared to the past, have things gotten better, worse or stayed the same [regarding] treating African-Americans with respect and courtesy? (2002 vs. 2013) Not only are these very specific, but remember, MG’s conclusion is that morality has not really changed since 1949. But clearly we have started treated African-Americans better since then. Shouldn’t their methods be able to pick this up? They mention in the text that these kinds of questions did better than others; 50% report improved treatment of gay people. But what are the other 50% thinking??! The answer has to be something like “2002 to 2013 is too short a time to measure even extremely large effects that were centered around exactly this period”. But then what does that mean for the rest of their data? Despite these questions, they report no change overall in morality. Is this because their methods are too weak to notice not just the improvement in gay rights over the early 2000s, but even the improvement in African-Americans’ condition since the 1950s? Or is it because these moral improvements have been counterbalanced by other moral declines since then for net zero gain? Either way this doesn’t reflect well on their thesis. I think MG were most interested in talking about potential biases that could cause an illusion of moral decline. In order to get there, they had to argue that there was no objective moral decline, but they thought this was obviously true, and were more interested in gesturing at it than really proving it. They threw together a mountain of polls vaguely related to the topic, but I don’t think they’re really able to defend those polls’ relevance to this question against sustained challenge. III. So am I claiming that morality is declining over time? A real answer to this question would require philosophical groundwork that this paper doesn’t even begin. Whatever the issues with the data, they’re the least of MG’s problems3. They’ve committed themselves to haphazardly combining polls on violent crime, blood donation, homophobia, volunteerism, and workplace abuse into a single construct, “morality”, and then making sweeping pronouncements about it. “So the problem is they’re mixing up too many things?” No, they’re still mixing up too few things. In all the hundred-ish polls that MG used as objective morality indicators, I counted zero that involved sex, marriage, divorce, child-rearing, drugs, alcohol, loyalty, patriotism, respect for elders, hard work, laziness, religion, or anything about God.4 Suppose you were born in 1940. You learned from your parents that morality was about going to church, staying chaste until marriage, loving your country, working hard, and staying away from drugs. You notice that between 1940 and 2020: Church membership declined from 75% → 50%
But aside from all these biases - wait, they found that the same number of people said they were mugged/assaulted recently in 1949 as today? Hasn’t violent crime approximately tripled since then?
Inline links: Hasn’t violent crime approximately tripled since then?
They're very earnest and absolutely open about things Americans would find non PC.
I live in America and every time I visit India I browse a few ads in the papers because they tell me so much about things that have changed (or not) - since I grew up there.
Only 25 per cent of America’s 114 commissioned surface combatants (cruisers, destroyers, and littoral combat ships) are less than a decade old. By comparison more than 80 per cent of China’s 141 destroyers, frigates, and corvettes have been commissioned in the past decade. In the same time period, the United States commissioned 30 surface combatants . . . The nearly 600-ship Navy of the late 1980s deployed only 15 per cent of the fleet on average. Today, with fewer than 300 ships, the US Navy deploys more than 35 per cent to service its global missions, contributing to a material death spiral.
The American people deserve a choice. They deserve a candidate who will reject the failed policies of the past and embrace the failed policies of the future. It is my honor to announce I am throwing my hat into both the Democratic and Republican primaries (to double my chances), with the following platform:
So America is short on warships. But it is very long on rich people with big egos. An aircraft carrier would cost the richest American billionaires about the same fraction of their wealth as a trireme cost the richest Athenian aristocrats. So I say: bring back the liturgy!
If Elon was 1-in-1,000 intelligence, and was merely 1-in-10,000 in terms of intensity, and intensity was completely uncorrelated with intelligence (I would tend to think so, roughly speaking - plenty of dumb people have hyperfixations, too) then of his top-300,000-most-intelligent-Americans cohort, he would be in the top 30 most intense, or alternatively, for his top-30,000-most-intense-Americans cohort, he would be in the top 30 most intelligent. This, combined with the luck that Scott mentioned in the few paragraphs preceding the text from the OP I quoted, seems a combination completely sufficient to explain Elon Musk's extreme success even in terms that are still almost maximally generous to the 'Elon is successful largely because of his particularly effective personality' theory.
If you look at all 11 of [Elon]’s children's names, all but the 3 with Grimes have fairly normal names, at least for American kids these days.
I really, really, doubt that there are only 30 people in America more intense than Elon Musk. The biography, which was clearly trying to paint a picture of Elon as a particularly intense person, made him out to be more of a 1-in-10,000 intensity-level person than a 1-in-10,000,000.
Political managers from Caracas with no background in industry. Ideological schools set up in factories. Investment abandoned, maintenance skimped, machinery cannibalized. A catalogue of grievance detailing blunders, looting, and broken promises. Venalum, they said, had for a time stopped exporting to the United States to vainly seek “ideologically friendlier” markets . . . after months of stockpiling, aluminium managers returned to US buyers, but by then the market had crashed, losing the company millions. To curry favor with [the government], another company imported trucks from Belarus, Chavez’s European ally, but the cabins were too high for the region’s twisting paths, terrifying drivers. The trucks were abandoned.
Venezuela was a typical Latin American country - Indians, conquistadors, strongmen - until the discovery of oil in the early 1900s. Foreign oil companies briefly resisted taxation. But over the 20th century the government gradually got them under control. In 1976, they finally nationalized the industry entirely under a government-run company, PDVSA. Venezuela is believed to have more oil - and more oil per person - than Saudi Arabia.
Instead of firing squads at midnight, Chavez was authoritarian in the way that American conservatives claim that wokeness is “creeping authoritarianism”. He and his network of allies controlled the media, the institutions, and all the good jobs. If you flattered him, the media would say nice things about you, you would get preferential treatment when interfacing with institutions, and could count on a well-paying sinecure at some government department or nationalized company. If you questioned his rule, you would find that every news story about you was negative, and you were locked out of any job besides janitor or taxi driver.
How is this possible? This paper tries to answer the question. It says that 54% of Americans opt-in to organ donation; this is a legally binding decision that family members cannot override later. Other Americans make no commitment either way, and family members can opt them in later (eg when they are in a coma, dying). In opt-out countries, opt-outs are final, and also family members can later opt people out on their deathbeds. Since in opt-in systems, family members often opt people in, and in opt-out systems, family members often opt people out, once the family has had its say opt-out systems may not have more donors than opt-in ones.
Inline links: This paper
My immediate reaction to the apparent mystery of : "25-50% of Americans say they *would* donate a kidney to somebody in need..."
When the choice or opportunity is suddenly presented, and following through is relatively simple, logistically, people and Americans in particular have almost no limits or thought of risk/cost. In the scenario of a crash/wreck I am sure 95% of people would risk their life for a total stranger without a moment's thought.
CHRISTIE: Um. Hmmm. What’s going on in Ukraine is a . . . global Chrisis. [long pause] Like all Americans, I’m horrified by the news about Russian forces’ massaChris of innocent people. Ukraine should get not just our continuing support, but an inChris in military aid. [upbeat, finding his stride]. And I want to call out the hypoChrisy of Donald Trump on this issue. He says he wants to keep America strong, but he proChristinates on helping one of our most important allies.
MODERATOR: Then it sounds like everyone’s gotten a chance to speak in the second round. We’re going to move on to our closing statement. You’ll be happy to hear that your Forbidden Letters and Second Round Constraints are lifted for this part, and you can say anything you want. But: you can only say a single word at a time, in order of the placement of your podiums. If you want to make a closing statement that resonates with the American people, you’ll have to cooperate with each other. I’ll be turning off your microphone liberally to enforce this rule; if you go over one word per turn, you lose your turn for the next minute. If everyone’s ready, let’s go. Chris?
DESANTIS: Fine. What the hell. Whatever. I think the mo . . . the maximally important problem facing America today . . . for the problem, I would pick wokene . . . the condition of being woke. Our . . . educational in . . . educational thing . . that thing where we try to give education to people . . . it could be . . . totally . . . corrupted . . . by . . . that thing where people have the condition of being woke. Teache . . . teaching people . . . tell me that our . . . our . . . kid . . . the children in the education thing . . . oh, come on. This is f—ing impossible!
Other French intellectuals (he says) believe that we are in an age of unprecedented victimization. The rich victimize the poor, whites victimize blacks, straights victimize gays, and everyone victimizes the environment. While Girard acknowledges that all these things happen, he’s more interested in why we do this much less than any previous society. We have more of a social safety net for the poor than ancient Greece or Rome; better civil rights for blacks than any of the Arab, European, or American civilizations where they were enslaved for millennia, more tolerance for gays than medieval societies (or even Greece and Rome, which wouldn’t have allowed full gay marriage), and are one of the only societies to voluntarily restrict our economic growth in order to protect the environment. He thinks that, at least graded on a curve, we’re doing great morally. It’s not that we’re victimizing people uniquely much. It’s that for the first time in history, we notice victims and feel sorry for them. Peter Singer would say we’ve expanded our circle of concern, learning to care about people (and other beings) more and more different from us as time goes on.
Inline links: expanded our circle of concern
The average ejaculation contains about 300 million sperm. There are about 300 million people in the United States. If every sperm in a single ejaculation got to fertilize an egg and incubate in a womb, it would be enough to populate a second America.
Kai. Lyra. You’ll live to see a million things that man was never meant to see. You were born just in time for a high-speed collision with the hinge of history. I’m only 39, I expect to be around when whatever-it-is happens - but if not, you’re our family’s ambassadors to the singularity. A thousand generations, from hardy Neolithic farmers to studious Russian rabbis to overprivileged American office workers - they all lived and died so you could be here and experience this, and maybe tilt the course of what’s coming by a couple of micro-degrees.
America has about 200 living Nobel Prize winners. 735 billionaires. 1,000,000 doctors, 5,000,000 nurses. 100,000 pilots, 700,000 cops. Also 700,000 drug dealers, 100,000 murderers, and 1,700 NYT journalists.
It would seem that capitalism is better than charity. The countries that became permanently rich, like America and Japan, did it with capitalism. This seems better than temporarily alleviating poverty by donating food or clothing. So (say proponents), good people who want to help others should stop giving to charity and start giving to capitalism. These proponents differ on exactly what “giving to capitalism” means - you can’t write a check to capitalism directly. But it’s usually one of three things:
Some sense in which the US is rich and a good place to live, and each successful company contributes to this. I don’t think this is a second-order effect, just a sum of first-order effects. The US is rich and pleasant in the sense that (some) people have nice houses, good cars, and cheap grocery delivery. Instacart contributes to the cheap grocery delivery, and other companies provide the nice houses and good cars.
This is the Wuhan Institute of Virology’s coronavirus research group, out for a team dinner at a local restaurant on January 15th 2020 (ie a month after the pandemic started). This isn’t the most rational probabilistic evidence in the world. But we’ve already seen people take the rational probabilistic evidence twenty different directions. So let’s ask the same question Peter did - do these look like people who secretly know they just started the worst pandemic in modern history? If they secretly knew they’d just started the worst pandemic in modern history, wouldn’t they at least be wearing masks? I think China, WIV, etc, were as clueless as the rest of us, at least at the beginning of the pandemic when a lot of this origins evidence was being collected. They tried to shove the raccoon-dogs under the bed, to prevent anyone from accusing them of bungling their SARS commitments. But they weren’t really up to anything else. A more thorough argument would go over specific pieces of evidence, examine when they were collected (ie whether it was before or after China started caring enough about COVID to get their competent people involved), and how China could have rigged each. Second, Peter (privately) discussed a Chinese conspiracy theory of his own with me by email. Here’s an article from a random Chinese blog (you’ll have to Google Translate it). It describes China’s preferred theory of COVID origins: it was started by imported lobster from Maine (really!) The lobster arrived in the wet market, the wet market got sick, and diabolical Americans trying to hide their own complicity blamed it on raccoon-dogs and lab leaks and what-have-you. The article includes this graphic: It’s a map of which vendors at the wet market got COVID and where their stalls are. In many ways, it matches the maps that China gave to Western scientists. In other ways, it’s better - it includes information that Western scientists only inferred months after this article came out. But also, unlike the maps provided to Western scientists, it says the raccoon-dog vendors got COVID - something China has previously denied, and which would significantly raise the odds of a natural origin. Is this China’s internal record of what really happened at the wet market? Did they fail some kind of critical communication about how classified it should be, so that a guy in their propaganda department accidentally released it publicly in a stupid article about lobsters? That would be so embarrassingly weird that Peter didn’t even try bringing it up in the debate. But in a response to a question about coverups, sure, let’s get conspiratorial. 1.8: Have Worobey and Pekar been debunked? Worobey and Pekar are the two most prolific pro-zoonosis scientists, and many of the points in Peter’s argument were based on them. Several people criticized my writeup for not mentioning that these were “debunked”, for example: Worobey and Pekar have about a million papers, each of which makes many different points, so I don’t know for sure what these are referring to. But a few other people make more specific claims, and I’ll respond to them here: Pekar’s paper on the two lineages originally estimated 99-1 odds of double spillover. Someone found a coding error that reduced it to 6-1 odds, Pekar admitted the error, and the paper has been updated. Other people have made other criticisms which I haven’t investigated in depth and am agnostic on. I don’t think my argument depends too much on the details of this paper. The argument for B earlier than A is that it infected twice as many people and has more genetic diversity. It’s possible these things happened by chance and A preceded (and mutated to) B. In that case, I still think the most likely scenario is that A was released at the wet market, infected a customer or two, mutated to B, and infected a vendor. A then spread among the neighborhoods near the market, and B spread among market vendors.
Inline links: Here’s an article from a random Chinese blog, https://substackcdn.com/image/fetch/$s_!Qc6O!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6d870903-e4ba-4080-b543-6d1b6dcb5a70_1080x516.webp, https://substackcdn.com/image/fetch/$s_!15_o!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ffa11b0b0-b9d5-45b9-93e5-ec97b7fc69b0_597x207.png
Before going further, I recommend reading page 8 of the supplementary text of Worobey’s paper, titled “Robustness Of Statistical Test Results To Ascertainment Bias”, or pages 14-17, “Additional Data Related To Case Ascertainment Biases”, which explain all the reasons he thinks this isn’t true. I promise you aren’t the first person to think that maybe Worobey could be contaminated by ascertainment bias. If that still doesn’t help, Worobey talks more about his strategy for avoiding ascertainment bias here. Most important, he counted only cases from December; the market connection was discovered December 30 and added to diagnostic criteria January 3. This doesn’t mean bias is impossible - some of these points are people who caught COVID on December 31, but only got diagnosed January 4 after the new diagnostic criteria were added. But most cases are pre-criteria. And Worobey looked at various subsets of pre-criteria cases and found they were all at least as market-focused as the overall set. For example, he looked at the earliest COVID records in one Wuhan hospital system: 10 of these hospitals’ 19 earliest COVID-19 cases were linked to Huanan Market (∼53%), comparable both to Jinyintan’s 66% (of 41 cases) (4) and to the WHO-China report’s 33% of 168 retrospectively identified cases within Wuhan across December 2019 (1). Regarding cases at the Wuhan Central Hospital and HPHICWM, patients with a history of exposure at Huanan Market could not have been “cherry picked” before anyone had identified the market as an epidemiologic risk factor. Hence, there was a genuine preponderance of early COVID-19 cases associated with Huanan Market. Likewise, a study conducted January 2 (so not impacted at all by the January 3 criteria) found that 27 of 41 known patients had market links. Likewise, the first five cases were all detected in the market, and it doesn’t even make sense to talk about ascertainment bias for these. What is the Weissman paper that observeralt is talking about? It argues: if the pandemic started at the market, each seemingly non-market-linked case must ultimately derive from a market-linked case. Therefore, we should expect non-market-linked cases to require more steps than market-linked cases. Therefore, they should be further away. But if we look at the map above, we see that not-market-linked cases are closer to the market than market-linked cases. So something must be wrong, and that something might be ascertainment bias. (at least this is my interpretation of Weissman’s argument, which is more mathematical; read the paper to make sure I’m getting it right). This is a weirdly spherical-cow view of an epidemic, worthy of a physicist. It’s easy to think of reasons the linked-cases-should-be-closer rule might not hold. For example, suppose that on their lunch break, market vendors go have lunch at restaurants surrounding the market. They infect people in these restaurants, who then infect their friends and family. But these people never went to the market themselves. Now there are a bunch of non-market-linked cases immediately surrounding the wet market. But also - of all markets in Wuhan, Huanan sold the most weird wildlife. Suppose someone in the boonies gets a craving for raccoon-dog one day, their local convenience store doesn’t have it, so they hop on a bus and go downtown to the city’s main wet market. Then they get infected with COVID. Now there’s a wet-market-linked case in the boonies. In other words, we should expect two modes of spread: general geographic diffusion from the epicenter, and people from far away who made specific trips. If this still doesn’t seem obvious to you, consider - usually when COVID first arrived in America or Brazil or wherever, they were able to trace it back to a specific person from Wuhan who visited the country. If I was the first person in America to get COVID, I could usually say “Oh, it must have been my business meeting with Mr. Chin from Wuhan”. At the same time, if someone from the next town over from Wuhan got COVID, they probably couldn’t trace it back to a specific Wuhanite - everyone from Wuhan is coming and going so often that my town is just full of COVID in general. So I don’t think Weissman’s paper proves anything, and I think the general pattern of blue and orange dots suggests ascertainment bias wasn’t playing a role. So why does George Gao say that there was ascertainment bias? I looked for the direct source of the Gao quote and couldn’t find it; if someone else is able to, please let me know, since I’d be interested in exactly what he thinks about this. 1.10: Connor Reed / Gwern on cats Gwern wrote: Yes, I don't understand this (paraphrased) claim by Peter: > He also told the Mail that his cat got the coronavirus too, which is impossible. 'Impossible', thus implying the man was lying? I was under the impression that, quite aside from cats having tons of coronaviruses in general (FCoV being a particularly serious threat to young cats, which also seems to be a remarkable case study of the harms of the FDA), that it was not just not 'impossible' for domestic pet cats to get the coronavirus too, it was routine for them to get COVID-19, and even other cat species in *zoos* have tested positive and this was true very early in the COVID-19 pandemic and quite well publicized and well known (eg April 2020 https://www.nationalgeographic.com/animals/article/tiger-coronavirus-covid19-positive-test-bronx-zoo ). This was a topic of interest to me at the time because I like cats and have a cat and was wondering what the implications of me being inevitably infected might be for my cat, and so I remember this quite well despite my general attempt to remain ignorant of as many COVID-19 matters as possible... And double-checking now to see if all of these reports were somehow false positives or faked, I continue to see everyone like the CDC stating that it is still totally possible and routine for cats in close contact with infected humans (you know, like a *pet* cat) to be infected with COVID-19: https://www.cdc.gov/healthypets/covid-19/pets.html Given that Peter has supposedly spent years autistically researching every last detail and this detail in particular in order to discredit that British dude, I'm experiencing sudden Gell-Man Amnesia here about the rest of his claims, as well as the supposed experts evaluating Peter's claims if they didn't flag that (I have not checked). This is in the context of Connor Reed, a British man who claimed to have gotten COVID on November 25 - which, if true, would be surprisingly (though not impossibly) early according to the zoonosis narrative. Peter argued his story didn’t hold up, and one of his points centered around his claim that his cat might have caught COVID from him and died. Unfortunately, I mis-quoted Peter. I said Peter argued it was impossible for his cat to get COVID-19 (false). His actual statement was that it’s extremely rare for a cat to die of COVID-19. Peter, Gwern, and I then proceeded to get very confused about the exact claims and timeline, which I think is because Connor said totally different things in different interviews: In an interview with Wales Online on 2/4/2020, he said that "my kitten caught the feline coronavirus and developed pneumonia and died, but I don't think I caught it from her. I think that was just coincidence.”
Inline links: here, 4, 1, a study, the Weissman paper, https://www.nationalgeographic.com/animals/article/tiger-coronavirus-covid19-positive-test-bronx-zoo, https://www.cdc.gov/healthypets/covid-19/pets.html, an interview with Wales Online
My understanding of the situation: the first officially-confirmed case of COVID started December 11, 2019. Later in the pandemic, in 2021, the World Health Organization wanted to figure out if that was really the first, or whether there had been earlier ones. They scoured Chinese hospital records for illnesses that might be COVID during the two months before the official discovery (ie early October to early December) In particular, they asked Wuhan hospitals for records of any cases of fever, flu, respiratory illness, and pneumonia. The hospital gave them 76,253 cases, because China is big and flu is common. This was slightly more cases than usual, but there was a normal flu spreading too, so the researchers didn’t find this very compelling. Then they narrowed these cases down to those that were “clinically compatible” with COVID, and ended up with 92. Then they went over those 92 more carefully, including “review by the external multidisciplinary clinical team” and blood draws from the former patients. They were able to track down 67 of the 92. The clinical team decided none of those 92 cases really resembled COVID, and the blood draws were all negative. They published this as the results of their study: The retrospective search for cases compatible with COVID-19 illness identified 76 253 episodes with one of four indicator conditions. A rise in one of these conditions, [acute respiratory illness] (as well as [flu-like illness] and fever), was seen in this group of individuals in the over-60-year age group in early December. The clinical assessment of the 76,253 individuals revealed 92 cases clinically compatible with COVID-19. It is possible that the application of stringent clinical criteria, resulting in the identification of only 92 clinically compatible cases, may have decreased the possibility of identifying a group or groups of cases with milder illness. All the 92 cases were rejected as cases of SARS-CoV-2 infection on further clinical review. None of these cases (where blood could be obtained) was positive on SARS-CoV-2 serological testing carried out more than 12 months later. The use of retrospective serological testing so long after the illness cannot be relied on to exclude the possibility of SARS-CoV-2 infection at the time of the presenting illness, given the possible drop in SARS-CoV-2-specific antibody over time and the associated reduced sensitivity of commercial assays. The possibility that earlier transmission of SARS-CoV-2 infection was occurring in this community cannot be excluded on the basis of this evidence. In other words “we looked for early COVID, we didn’t find any, but we can’t promise we didn’t miss anything”. On Twitter, Giles Demaneuf makes an interesting point. The researchers took the samples in 2021, when China was in Zero COVID. When the Wuhan outbreak was finally contained in early 2020, 4.4% of Wuhanites had contracted COVID. So isn’t it surprising that 0/67 of the former patients who the researchers tested were had antibodies to COVID? The chance that 67 randomly-selected people in a population with 4.4% prevalence rate are all negative is only about 5%. Is this evidence of foul play? No. See the conclusions section of the report, which said: “The use of retrospective serological testing so long after the illness cannot be relied on to exclude the possibility of SARS-CoV-2 infection at the time of the presenting illness, given the possible drop in SARS-CoV-2-specific antibody over time and the associated reduced sensitivity of commercial assays”. You have a lot of COVID antibodies just after getting COVID. By a year or so afterwards, you might not have enough to detect. So it’s not surprising the WHO study didn’t detect any. Why did they even try looking for antibodies? There seem to be two reasons not to: first, they should have known antibodies would decay after a year. Second, even if some of them did have antibodies, how would we know they weren’t just infected in spring 2020 like everyone else? They don’t say. My guess: antibody decay is very variable. Some people’s antibodies might last more than a year. So if they found that way more than 4.4% of people had antibodies, that would be surprising and suggest that most of them had had COVID in autumn 2019. But instead they found that nobody had antibodies, which is consistent with one or two of them getting sick when everyone else got sick, and having their antibodies decay at the normal rate. But also, I think the antibodies were just intended to supplement the clinical review, and not be a very important part of their determination. I think this study is moderately strong evidence that there wasn’t much COVID going around before December 2019. Doctors looked for cases, they winnowed them down into the cases that looked most like COVID, but when they examined those cases closely, they didn’t look enough like COVID to be interesting. I don’t think the antibody tests add or subtract much from this assessment. I would be fine if someone else said they don’t think the WHO report provides much evidence either way. The main thing I want to insist on is that there’s no conspiracy to hide 92 previously-undiscovered cases. They searched really hard for potential cases, they subjected the most plausible candidates for further review, and then they decided those ones were not, in fact, COVID. (You can read all of this here. It’s not a very good description and I’d be interested if someone has a more thorough writeup of the research.) This was just one of many efforts that researchers made to try to identify pre-December-2020 COVID cases. For example, 30,000 people donated blood in autumn 2019, and the hospitals still had most of it. So they tested the blood samples for COVID antibodies and didn’t find any. I don’t think antibodies decay in stored blood samples (I might be wrong). There are 12 million people in Wuhan, so if even a few hundred people had COVID during that time, one of them should have turned up. None of them did. Finally, during COVID’s officially-recognized existence, its numbers doubled about once every 3.5 days. Again, if COVID existed a month earlier than previously believed, then it would be 256x more common than expected. This would be hard to miss! Nobody found evidence from excess mortality that COVID was 256x more common than expected. I’m using the version of the doubling time argument because it’s simple enough for me to understand, and I don’t have to worry about anyone trying to hide something in their complex model. It’s not exactly true, but it’s true enough to rule out COVID starting much before November 2019. If you want the fancy official version, it’s in Pekar 2021 and looks like this: This alone isn’t fatal to lab leak. It’s perfectly possible for the lab to leak (let’s say) November 5th, the virus spreads a bit, and then a month later someone goes to the wet market, coughs on a vendor, and starts the officially recognized pandemic. But if that were true, you’d expect (let’s say) 30 cases by early December. Let’s say the wet market vendor was exactly Case # 30. She infected the other wet market vendors, starting a pandemic with an obvious center at the wet market and lots of infected wet market vendors and patrons. What about Case # 29? If they were (let’s say) a barista, how come they didn’t infect people at their coffee shop? How come there wasn’t a second obvious cluster radiating out from a coffee shop, lots of coffee-shop-linked cases, etc? How come there weren’t 30 equally-sized clusters? In order to avoid this, you either need to claim that the wet market was a perfect superspreader location, or that the pattern with lots of cases in the wet market and few-to-none anywhere else was a result of ascertainment bias. Saar made both those arguments during the debate, but I thought Peter rebutted them effectively. 1.4: COVID in Brazilian wastewater Nicholas Halden (blog) writes: What should we make of this study, which found the presence of covid in Brazilian wastewater in late 2019? Consider the doubling times. The study says that scientists working in late 2020 found COVID in samples of Brazilian wastewater from November 27, 2019. This was long before the first detected case of transmission in Brazil on March 13, 2020. Between November 27, 2019 and March 13, 2020 is about 16 weeks, so 32 COVID doubling times. 32 doubling times with no lockdown is enough time for COVID to infect every single person in Brazil. If COVID had infected everyone in Brazil before the first recognized case, we would have noticed. (again, COVID doubling time isn’t exactly invariably 3.5 days, but here we’re talking about numbers big enough that the exact details don’t matter very much) So if COVID was in Brazil on November 27, it must have fizzled out instead of going pandemic. How likely is that? If one person had COVID, it’s not too unlikely - not all COVID cases transmit it forward. If (let’s say) twenty people had COVID, it’s very unlikely - at that point, the law of large numbers takes over; in a freak coincidence, every single patient would have to fail to infect anyone else. So almost certainly fewer than 20 people in Brazil had COVID in November 27. So which is more likely - that somehow 20 people had COVID long before the virus was officially detected, and on a totally different continent, yet somehow a scientist looking through wastewater found the water from exactly those people and managed to detect the virus? Or that there was a sampling error, which happens all the time in these kinds of things? Peter wrote a blog post on some of these issues. He found that there were positive tests from wastewater samples as early as March 2019, which doesn’t fit anyone’s timeline, including lab leakers’. And most of these positives (including the Brazilian sample) contained later strains of the virus with mutations it picked up late in 2020. So these were almost certainly false positives from contamination. 1.5: Biorealism’s 16 arguments Biorealism has a list of sixteen arguments, which he liked so much that he posted it three times in the ACX comments, twice on Less Wrong, twice on Manifold, and about a dozen times on Twitter under multiple account names. Some posts were slightly different from others, but a typical version is: Importantly, Miller incorrectly claimed the N501Y mutation would result from passage in hACE2 mice (mixed them up with BALB/c mice). The major papers Miller relied on have been seriously challenged since the debate. See Stoyan and Chiu (2024), Weissman (2024), Bloom (2023) and Lv et al (2024). Overall the circumstantial evidence makes lab v plausible: Peter admitted getting this wrong during the debate. I think this very minor point about mice mutations was approximately his only mistake in 15 hours of debating, and he admitted it as soon as he noticed. Biorealism somehow heard about this (obviously not through watching the debate, as we’ll see in a moment), then left about 20-30 comments starting with it, under various accounts, on various platforms, as if it somehow discredited Peter. This is making me somewhat less charitable to him and his 16 arguments than I would be otherwise. 1. Chinese researchers Botao & Lei Xiao observed lab origin was likely given the nearest known relatives to SARS-CoV-2 were far from Wuhan. Wuhan Institute of Virology (WIV) sampled SARS-related bat coronaviruses where the nearest relatives are found in Yunnan, Laos and Vietnam ~1500km away. They refuse to share their records. The ancestral viruses of SARS were found equally far from where SARS spilled over into humans, so we know it’s possible (and likely) for viruses to travel that far. 2. Patrick Berche, DG at Institut Pasteur in Lille 2014-18, notes you would expect secondary outbreaks if it arose via the live animal trade. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234839/ There are constant outbreaks of weird coronaviruses in animal handlers. See eg this paper, which estimates about 60,000 of these per year. None of these ever go anywhere, because the farmers are in rural areas that aren’t dense enough to sustain a high R0, and the epidemic fizzles out after a single digit number of cases. Any early outbreaks of COVID would have vanished into this long and mostly unnoticed list. 3. Molecular data: Only sarbecovirus with a furin cleavage site. Well adapted to human ACE2 cells. Low genetic diversity indicating a lack of prior circulation (Berche 2023). Restriction site SARS-CoV-2 BsaI/BsmBI restriction map falls neatly within the ideal range for a reverse genetics system and used previously at WIV and UNC. Ngram analysis of the codon usage per Professor Louis Nemzer https://twitter.com/BiophysicsFL/status/1667232580255490053?t=IJgitS5cw364ioclzVWxaA&s=19 The SARS2 backbone is very low in CG and CpG. While the 12-nt insert that gives it the FCS is extremely high in both. Almost as if it was some kind of chimera of a consensus sequence and a codon-optimized polybasic cleavage site? https://twitter.com/BiophysicsFL/status/1752800486837678377?t=EpIRgyybJVaPgeMP5xdstA&s=19 https://www.biorxiv.org/content/10.1101/2022.10.18.512756v1 https://link.springer.com/article/10.1007/s10311-021-01211-0?fbclid=IwAR1HMUMtLIAFOFppVasQDeoIAYrVhP8j4YoPO4wnaTOUiKLsllZl_oKryOw Most of this was discussed extensively in the second session of the debate, which I recommend. The CGG-CGG arginine codon usage is particularly unusual but used in synthetic biology. I asked a synthetic biologist about this. He said: » “Nope. I would literally never do this if I was designing a small insert (maybe I wouldn't notice if it happened by chance with ~1 in 25 odds in a naive codon optimization algorithm as part of a larger sequence). High GC% is bad. Tandem repeat is worse. Several other perfectly fine arginine codons. And I wouldn't engineer a viral genome using human codon usage. An engineer would not do it.” 4. DEFUSE full proposal: virus 20% different from SARS1, consensus seq assembled with 6 segments, without disrupting coding seq, BsmBI order, FCS. SARS2: 20% different than SARS1, 6 evenly spaced fragments w BsmBI and BsaI restriction sites, FCS. Jesse Bloom, Jack Nunberg, Robert Townley, Alexandre Hassanin have observed this workflow could have lead to SARS-CoV-2. Work often begins before funding sought or goes ahead anyway. Re: 4 - Also scattered across second section of debate, also not going to retread 5. Market cases were all lineage B. Lv et al (2024) indicates there was a single point of emergence and A came before B. So market cases not the primary cases. See also Bloom (2021), Kumar et al (2022). Peter Ben Embarek said there were likely already thousands of cases in Wuhan in December 2019.https://t.co/50kFV9zSb6 https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/34398234/ https://academic.oup.com/bioinformatics/article/38/10/2719/6553661 There was a Lineage A sample in the market, lab leak proponents just try to ignore/dismiss/conspiracize it away. The first two known Lineage A cases were very close to the market. Lv (is this even a real name? It sounds like Roman numeral? But I guess that’s what you expect in a country ruled by someone named Xi) found some weird COVID variants in Shanghai that might or might not mean anything; you can see some discussion of the implications here, but I don’t think they’re strong evidence either way. If A was first, it means some really weird stuff coincidences have to happen to give us the spread rates and genetic clock data we get, but they’re not necessarily weirder in the zoonosis hypothesis than the lab leak one. The claim that there were “thousands of cases in Wuhan in December 2019” is very easy to disprove by doubling rate arguments like the one above, by the blood bank study mentioned above, by the WHO’s failed case search, and by many other lines of argument. 6. Evidence for lineage A in the market is based on a low quality sample according to Liu et. al. (2023). I really think lab leakers need to decide whether they think China is a sinister actor trying to cover up the truth, or whether they should trust every offhand comment by Chinese government officials as gospel. Dr. Liu doesn’t explain in what sense he thinks the Lineage A sample is “low-quality”, and the Western scientists who I asked about this said they didn’t understand this complaint and that the sample was fine. A Western team re-analyzing the same sample describes it as “conclusively contain[ing] Lineage A.” I think most lab leakers have switched from trying to deny the genetics to claiming that this was “contamination”, which also doesn’t make sense (the sample is genetically very early). Note that aside from this sample, the first two Lineage A cases discovered were both very close to the wet market. 7. Bloom (2023) shows market samples do not support market origin. There is also no evidence of transmission in the claimed susceptible animals elsewhere. https://academic.oup.com/ve/advance-article/doi/10.1093/ve/vead089/7504441 Discussed extensively in my article as well as the first section of the debate. 8. Lineage A and B only two mutations apart. François Ballox, Bloom and Virginie Courtier-Orgogozo note this is unlikely to reflect two separate animal spillovers as opposed to incomplete case ascertainment of human to human transmission (Bloom 2021). Discussed extensively in my article as well as the first section of the debate. 9. Sampling bias. George Gao, Chinese CDC head at the time, acknowledged to the BBC stating they may have focused too much on and around the market and missed cases on the other side of the city. David Bahry outlines the documented bias. Michael Weissman has shown this mathematically. https://journals.asm.org/doi/10.1128/mbio.00313-23 https://academic.oup.com/jrsssa/advance-article-abstract/doi/10.1093/jrsssa/qnae021/7632556 Re: Dr. Gao, see above comment about Chinese officials. See the section Ascertainment Bias below for why I disagree with this specific claim, which also addresses the Michael Weissman argument. 10. Spatial statistics experts show the Worobey claim the market was the early epicentre was flawed. https://academic.oup.com/jrsssa/advance-article-abstract/doi/10.1093/jrsssa/qnad139/7557954 Re: 10 - See Confirmation Of The Centrality Of The Huanan Market Among Early COVID-19 Cases, a response to the paper you cite: The centrality of Wuhan's Huanan market in maps of December 2019 COVID-19 case residential locations, established by Worobey et al. (2022a), has recently been challenged by Stoyan and Chiu (2024, SC2024). SC2024 proposed a statistical test based on the premise that the measure of central tendency (hereafter, "centre") of a sample of case locations must coincide with the exact point from which local transmission began. Here we show that this premise is erroneous. SC2024 put forward two alternative centres (centroid and mode) to the centre-point which was used by Worobey et al. for some analyses, and proposed a bootstrapping method, based on their premise, to test whether a particular location is consistent with it being the point source of transmission. We show that SC2024's concerns about the use of centre-points are inconsequential, and that use of centroids for these data is inadvisable. The mode is an appropriate, even optimal, choice as centre; however, contrary to SC2024's results, we demonstrate that with proper implementation of their methods, the mode falls at the entrance of a parking lot at the market itself, and the 95% confidence region around the mode includes the market. Thus, the market cannot be rejected as central even by SC2024's overly stringent statistical test. I think this response is pretty strong. In one analysis, they show that even though the other paper’s methodology is worse than theirs, if you apply it correctly (instead of inappropriately excluding various cases like the paper’s authors did), the center of all early cases in Hubei province lands on the wet market parking lot. In another analysis, they show that the other paper’s recommended tests wouldn’t have correctly pointed to the offending water pump in the famous John Snow cholera outbreak, but theirs would have. Still, I think it’s useful to supplement fancy statistics with normal common sense, so I recommend just looking at the map of early cases: …and deciding whether you think the assumptions behind a specific statistical test are likely to debunk the idea that cases are centered around the wet market. 11. Wuhan used as a control for a 2015 serological study on SARS-related bat coronaviruses due to its urban location. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6178078/ I don’t know why this point is supposed to matter. If you mean that Wuhan isn’t directly exposed to bats, nobody ever said it was. The zoonotic theory is that wildlife carted in from other areas of China started the pandemic in the wet market. 12. Superspreader events also seen at wet markets in Beijing and Singapore (Xinfadi and Jurong). This was discussed very extensively in the debates, both in section 1 and section 3. Wet markets weren’t “superspreader locations” - in fact, the disease spread no more quickly there than anywhere else. They were the first place in those cities that the pandemic started, due to contaminated animal products. If anything, this supports zoonosis. See also my discussion with Saar on this point below. 13. WIV refuse to share their records with NIH who terminated subaward in 2022. Wider suspension over biosafety concerns. https://www.bloomberg.com/news/articles/2023-07-18/us-suspends-wuhan-institute-funds-over-covid-stonewalling Although WIV has not been especially forthcoming, some of their databases were leaked in various ways and showed that they did not have any viruses capable of transforming into COVID. 14. PLA involvement at WIV and MERS research prior to SARS-COV-2. MERS features several similarities with SARS-CoV-2. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7022351/ I can’t even tell what conspiracy theory you’re trying to propose with this one; if you spell it out I can try to explain why it might be false. 15. SARS1 leaked several times and SARS-COV-2 has leaked from a BSL-3 lab in Taiwan. Agreed that SARS leaked several times. It also spilled over from animals several times. During the debate, a lab leak rate of once per lab per 500 years was proposed (everyone agreed to steelman this by 10x for WIV numbers); I would be interested to know whether anything about the study of SARS challenges that number. 16. Unpublished infectious clone identified from Wuhan contradicting arguments such reverse genetics systems would be published. https://www.biorxiv.org/content/10.1101/2023.02.12.528210v1.full I asked some scientists about this paper and here’s what they told me. Wuhan University sequenced some rice. In the middle of the sequence, there’s an unexpected sequence from a common coronavirus, HKU4. The most likely explanation is that someone else in Wuhan was working on the coronavirus and there was cross-contamination. Plausibly this is Wuhan Institute of Virology, who is known to work with coronaviruses. This is cool detective work, but it’s not clear what it’s supposed to prove. I think some lab leakers are using it to prove that WIV can do reverse genetics, but they admitted this already in a published paper so that’s not too helpful. I think others are using it to prove WIV had “secret viruses” in their catalogue, but the rice virus wasn’t secret, it was HKU4, which is common and which WIV has already published papers about. 1.6: DrJayChou’s 7 Arguments Once again, I cannot stress enough how much better a take you might have on this debate if you watch it. “The first known case predates the market outbreak by a month” - this is not the consensus position. I cannot say for sure what Dr. Chou means by this, but I suspect he’s referring to one of the many claims to this effect that Peter effectively debunked during the debate (Connor Reed, Mr. Chen, the 92 cases, Brazil, etc).
Inline links: Giles Demaneuf, here, Pekar 2021, https://substackcdn.com/image/fetch/$s_!yRJv!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ffcd7daff-43d3-416f-8896-173392bf3438_720x312.webp, blog, writes, this study, wrote a blog post on some of these issues, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234839/, this paper, https://twitter.com/BiophysicsFL/status/1667232580255490053?t=IJgitS5cw364ioclzVWxaA&s=19, https://twitter.com/BiophysicsFL/status/1752800486837678377?t=EpIRgyybJVaPgeMP5xdstA&s=19, https://www.biorxiv.org/content/10.1101/2022.10.18.512756v1, https://link.springer.com/article/10.1007/s10311-021-01211-0?fbclid=IwAR1HMUMtLIAFOFppVasQDeoIAYrVhP8j4YoPO4wnaTOUiKLsllZl_oKryOw, https://t.co/50kFV9zSb6, https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/34398234/, https://academic.oup.com/bioinformatics/article/38/10/2719/6553661, here, describes it as, https://academic.oup.com/ve/advance-article/doi/10.1093/ve/vead089/7504441, https://journals.asm.org/doi/10.1128/mbio.00313-23, https://academic.oup.com/jrsssa/advance-article-abstract/doi/10.1093/jrsssa/qnae021/7632556, https://academic.oup.com/jrsssa/advance-article-abstract/doi/10.1093/jrsssa/qnad139/7557954, Confirmation Of The Centrality Of The Huanan Market Among Early COVID-19 Cases, https://substackcdn.com/image/fetch/$s_!BNAm!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fffd4cddb-6e3e-41f5-8ef6-ec0b27bec600_626x426.webp, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6178078/, https://www.bloomberg.com/news/articles/2023-07-18/us-suspends-wuhan-institute-funds-over-covid-stonewalling, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7022351/, https://www.biorxiv.org/content/10.1101/2023.02.12.528210v1.full, a published paper, has already published papers about, https://substackcdn.com/image/fetch/$s_!yA9U!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F467dd304-190a-4437-8920-d498c433dffb_1600x960.jpeg
» "In 1954, Hernández v Texas altered the classification of Mexican-Americans in order to give them protection against discrimination under the 14th amendment. As the population of Mexican-Americans grew, the United States classified them as white. However, when they brought forward their concerns regarding racist and discriminatory practices, the government ignored their claims since they were white and therefore not protected under the 14th amendment like black Americans. As a result, Mexican-Americans made the argument that they were a class apart from white Americans. Many Mexican-Americans feared that arguing for a change in classification would result in the mistreatment equal to what African-Americans were experiencing at the time. The “class apart” argument was formed to demonstrate that while they were classified as white they were still treated as “others” by white society. Stating that Mexican-American activists demanded to be classified as “white” ignores the complex history of racial classification in the United States and the subsequent challenges faced by Mexican-Americans in their fight against racial discrimination."
I did this on purpose: I didn’t consider these sufficiently independent cases. My impression is that wokeness originated in the United States, reached other countries piecemeal, and that the parts they got weren’t necessarily parts that applied to their own situation. For example, many countries held Black Lives Matter and Defund The Police protests even when they had approximately no black people. In a situation like this, I don’t know how to determine the relationship between any given country’s level of civil rights law and its level of wokeness.
To me, it seems like the reason for why civil rights legislation, including affirmative action, has been enacted and are maintained in the US have at least at much to do with external as with internal policy. The original context for the enactment of the CRA and all the legislation meant to make racial equality not just a theory but an actuality was America's ideological content with the Soviet Union, a country that could lay a credible claim to an antiracist practice that made it very attractive to Third World masses and First World intellectuals; since it was also known that the equitable treatment of African-Americans was one of the main areas where United States had, to put it mildly, failed, it was also imperative for the US to show that it was working to fix it.
2: Comment of the week: why does Britain let submarine commanders launch nukes on their own, when Russia and America have the opposite policy? Also related to the links post: someone on Facebook says that Cryonics Institute has not confirmed that Paris Hilton is signed up, and this might be a false story.
And when all of these places have been restored to the same 4-manifold, and the United States has achieved its manifest destiny of stretching from Nonbeing even unto Eternity, then, and only then, will we be able to say we have Made America Great Again. Thank you, God bless, and good night.
Alexander: Hello and welcome to the first Presidential debate of 2024. Based on the remarkable popularity of the previous debates I moderated (2016, 2020, 2023), I’ve been asked to come here again and help the American people learn more about the our two candidates - President Joseph Biden, and former president Donald J. Trump. This debate will be broadcast live to select viewers, and I’ll also post a transcript on my blog.
Trump: I think you can rescue the idea of states, if you think of them not as real in themselves, but as different aspects of the American atom. When we consider America in the context of its vastness and its freedom, we call it "Texas". When we consider America in the context of its innovation and cultural influence, we call it "California". When we consider America in the context of its barrenness and oil-producing-capacity, we call it "North Dakota". And so on. America does not have states in the sense that Queensland is a state of Australia, it has states in the sense that ice or steam is a state of water. This isn’t to say that America ever changes between these states, because change is a property of compound entities. But it may appear to outside observers in one or another of these ways at different times.
Above all else, his biggest critique of the early 2000’s American conservatives is that they have let capitalism run amok. When he looks at how we are commodifying living, feeling creatures, it sickens him. When he sees how sentient beings are bought, sold, stuffed, trapped, shot, and persecuted, with very limited checks on what even the most barbaric human can do to the most majestic, he recoils.
And they’re like, ‘I went into Bank of America, and she was the manager. Now, she’s our full-time labradoodle!’”
Condemn those who raise cats and dogs for food in other countries while having no problem with the farming of cows and chickens in America. (I imagine Scully gets a kick out of what the folks at Elwood Organic Dog Meat are doing.)
Inline links: Elwood Organic Dog Meat
(This report was, as it happens, published in the exact same month as The Family That Couldn’t Sleep.) DTM came to know the family well. He befriended them by way of two members of their younger generation, Lisi – a woman terrified by the shadow of the disease, and Ignazio – the doctor she had married, who was more terrified by the shadow of the disease. Ignazio put together the pieces of the family puzzle, consolidating all the disparate diagnoses into a single disorder and filling out a lot of blank spots on family trees. When DTM came along, he was able to help Ignazio make the case that the family would benefit from the spotlight – that greater awareness of FFI could lead to a cure both for them and for a slew of other prion diseases. As it so happens, he is one of those nonfiction authors who serve as a character in their own story. DTM has some form of progressive muscular palsy. He is, or at least was in 2006, not entirely sure what it is. The relatively unimpressive state of genetics at the time had not identified his causative mutation, though it looked a lot like one of the rarer forms of Charcot-Marie-Tooth disease2. DTM is pragmatic about this, the way everyone chronically ill is either pragmatic or doomed. Whatever he has, it is a defect in protein structure; his peripheral nerves decay not because of a problem with the nerves themselves but an inability of their scaffolding to hold them together, as he puts it. The last chapter of the book dwells on this, on the web of connections popping up between a thousand disorders. DTM’s disease is something vaguely similar, if you squint, to an exceptionally slow-progressing motor neurone disease; if you jump another level out, you see amyloid plaque diseases like Huntington’s and Alzheimer’s, and if you jump yet another level out, you see something like prions. His interest in the Venetian family was driven by this. Some of its members thought this a beautiful act of sympathy; others thought him a grotesque parody of themselves, an onlooker, a gawker, peddling their tragedy to salve his relatively insignificant problems. They are, he thinks, both right. That’s the beginning, and that’s the end. What happens in the middle? --------------------------------------------------------- The Venetian family lends the book its title, but they’re really more of a framing device. The Family That Couldn’t Sleep is separated into four parts, of which the first and fourth – the shortest by far – deal with the family. Part 2 is kuru, the king of fucked up diseases you read about in clickbait Weird Medicine listicles. Let’s talk about kuru! Kuru, is, famously, the prion disease you get if you eat another person’s brain. Well, not quite. It’s a prion disease that became endemic amongst women in the Fore society, who ritually ate brains, one of which had an inherited or spontaneous prion disease. This is an important note – there’s a tendency (which the book’s later chapters engage in) to assume cannibalism just has a Prion Disease Generator attached. If you eat people who don’t have prion diseases, you won’t suddenly get one. Uh, don’t eat people. Anyway, part 2 is DTM’s historiography of Fore-Westerner first contact. It’s hilarious. Papua New Guinea is a frankly ridiculous place; one of the all-time best Lyttle Lytton winners (worst first sentence from a hypothetical or, in this case, real work) was “Papua New Guinea is so violent that more than 820 languages are spoken there”. The native residents were so hostile to outsiders that all the colonial empires had cut their losses – and when you think about the places they colonized, that says something. After the First World War, PNG was ripped from its nominal German ‘owners’, but no one else wanted the place. So, of course, they gave it to the Australians. It was thirty years and another war before we actually made contact. 1940s Australia was as ‘settled’ as it’d ever be; the cities were bustling and the interior was mapped. The kind of explorer who two centuries before would be heading to new continents had to console himself with Pacific islands. Console he did. The native peoples of the PNG coasts were hostile enough to the wannabe-colonialists that the Australians, flying planes overhead, were the first people to discover that the island’s inland was populated too. No one had broken through on land. In all this deep and angry rainforest, the Fore were the furthest out. They lived far into the island’s mountainous interior; DTM describes their territory as “nearly vertical”. Calling people primitives is a bit passe these days for understandable reasons, but no other term comes to mind. The Fore had no name for themselves; we call them by an exonym, “the people to the south”. They weren’t, to be clear, hunter-gatherers – they were slash-and-burn agriculturalists, but very well-fed ones. Despite the tendency in grain-focused cultures for poor agriculturalists to be stunted/malnourished, the Fore were a remarkably healthy people. Well, except for the famous bit. The first remarkable thing about the Fore was just how quickly they wanted to assimilate. Most PNG tribes weren’t particularly enthused by Western offers of injections/tractors/radios/Christianity. Yet as soon as the Australians arrived, the Fore made ceasefires in their wars with other tribes, volunteered to help large-scale Australian projects on the coast, started planting and trading coffee, and enthusiastically participated in censuses. It’s the only first-contact narrative I’ve seen where the colonizers were concerned about how badly the other guys wanted to be colonized. The next was the one that got their names in the history books. Australian officials started to notice a remarkable lack of women in Fore camps. Some tribes sequestered their women, particularly when Westerners were around, so at first they thought nothing of it. The high rate of unpartnered young men, though, was way out of PNG norms. DTM tells this part fantastically. The Fore chapters drip with the dread of dramatic irony. When the first breakthrough comes, you have to catch your breath: “Tiny” Carey noted something in the middle of August 1950 that deepened this mystery. He noticed that near the village of Henganofi there had been an unusual number of deaths. “It appears,” he wrote his superiors, “natives suffer from stomach trouble, get violent shivering, as with the ague, and die fairly rapidly.” [...] McArthur investigated a little more [...] One day in August 1953 he ran into more of the shivering people Tiny Carey had seen several years before: “Nearing one of the dwellings, I observed a small girl sitting down beside a fire. She was shivering violently and her head was jerking spasmodically from side to side.” It would be quite some time before anyone figured out what caused it – but the problem, as DTM notes, was that its cause wasn’t possible. Everyone priored that the weird undescribed disease in the Fore lands was some nocebo sorcery-sickness. Vincent Zigas, the first actual doctor sent to work with the Fore, tried to placebo-effect them and failed miserably: On the way, Apekono stopped at a hut and showed Zigas his first kuru victim. “On the ground in the far corner sat a woman of about thirty,” the doctor wrote. “She looked odd, not ill, rather emaciated, looking up with blank eyes with a mask-like expression. There was an occasional fine tremor of her head and trunk, as if she were shivering from cold, though the day was very warm.” It was almost exactly the tableau McArthur had witnessed in 1953. Zigas, though, was a doctor. He could do more than look—or so he thought: “I decided I might as well try my own variety of magic,” he remembered. He rubbed Sloan’s Liniment, a balm for sore muscles, on her and declared to her family and his guide: “The sorcerer has put a bad spirit inside the woman. I am going to burn this spirit so that it comes out of her and leaves her. You will not see the fire, but she will feel it. The bad spirit will leave her and she will not die.” The lotion penetrated the woman’s skin and she writhed in pain. “Get up! Walk!” Zigas commanded theatrically. “The woman struggled feebly as if to rise, then, exhausted, started to tremble more violently, making a sound of foolish laughter, akin to a titter.” That evening Apekono asked Zigas not to try to cure any more kuru victims; “Don’t use your magic medicine anymore. It will not win our strong sorcery.” This was a disaster. The Fore were so cooperative precisely because they hoped “Western magic” could conquer theirs. As it became clear it couldn’t, they turned hostile. The Australians had hoped to “modernize a Stone Age people”; now all their subjects were dropping dead before their eyes, from what they could only assume was a “hysterical reaction” to colonization itself. So, to solve this, they needed a batshit insane American. Carleton Gajdusek is one of the characters who dominates The Family That Couldn’t Sleep. He couldn’t not. You could put him in a car commercial and he’d dominate it. Gajdusek was a physician with a rare, intense combination of science and practice. He was a romanticist, a field worker, and a lover of everything strange. He’d been an army doctor, a government conspiracy-cover-upper, and a postdoc under Linus Pauling who described his intent as “to straighten out Pauling’s ideas about proteins”. He hated civilization, in a slightly-to-Ted’s-centre sense, and was passionate about “primitives and isolates”. He jumped at the chance to work in Papua New Guinea; he planned to conduct a multi-site study on child development in such cultures, and relished the opportunity to live in a “primitive” environment himself. He did all this so he could rape kids. Oh, he did it for the scientific curiosity and love of medicine, but he also did it so he could rape kids. Gajdusek was a pedophile in the actual-lifelong-exclusive-paraphilia sense, as opposed to the “metonym for child molester” sense. Some people who roll snake-eyes on the Sexuality Dice repress it, but some are perfectly happy to act on it; Gajdusek was #2 in its fullest form, the kind of guy who believes that a well-lived life includes raping some kids. DTM doesn’t shy from this, not for a moment. It’s the first thing he tells you about Gajdusek. It couldn’t not be; you couldn’t talk about why he went to PNG otherwise. When Gajdusek landed in PNG, he first found the place too civilized. He’d been promised a land of “cannibal savages” – where were they? After some traipsing, he found them, right where he was promised. The Fore were perfect for Gajdusek. They had some kind of medical mystery that’d been lost on everyone else. They ate each other, in exactly the way he loved detailing in his diaries (“”Women and children, particularly, partake of the human flesh,” he noted with pleasure”). As kuru cases popped up, he aggressively recorded them. He wrote lovingly detailed notes that he sent back to his Australian advisor. He wrote with intensity, with exclamation marks, with the joie de vivre of a man just where he wanted to be. Gajdusek smothered the Fore with ‘cures’ that never worked, but they didn’t get angry at him. As DTM dryly puts it: “Their children trusted him, and that was enough for them.” At some point, someone suggested sending an anthropologist...or an epidemiologist...or literally anyone with more credentials than Gajdusek and Zigas3. Gajdusek threw a shitfit, convinced this one-and-a-half-man team was enough to Solve The Problem Forever. But he got bored eventually – running off with another tribe with, as his diary notes at length, an apparent custom of youths ritually fellating older men – and Zigas, I dunno, the book neglects him a bit here. So they managed to sneak in some anthropologists. The husband-and-wife team of Robert Glasse and Shirley Lindenbaum4 were the first involved parties to give a shit about the Fore as people, rather than as colonial subjects/medical mysteries/walking sex toys. What they uncovered was fascinating. The Fore were cannibals, yes, but they were recent cannibals. They didn’t have an ancient tradition of eating their dead, like the other visitors assumed. They happened to be in contact with some cannibal groups, and after a Fore man died of “sorcery”, they thought: well, what would happen if we ate him? “People tasting it expressed their approval. ‘”This is sweet,” they said, “What is the matter with us, are we mad? Here is good food and we have neglected to eat it.”” If not for the wild coincidence that the first Fore cannibalism victim had a prion disease, kuru would never have existed. Glasse and Lindenbaum started to put together the pieces. They’d been sent down to rule out a genetic explanation – to track the kinship ties of the Fore and see how the disease ran through families. It didn’t run through families in any coherent sense, but it sure did run through cannibalism. The clincher was the age distribution. The Fore, ever enthused by colonialism, quit eating each other as soon as the Australians arrived. Children stopped dying of kuru shortly after; they simply weren’t exposed to the infectious agent. The couple sent the news to Gajdusek, who was off raping kids somewhere else. In the next part of the book, DTM runs through Gajdusek’s many conjectures of kuru’s cause – more like sketches or abstract paintings than like true hypotheses. Gajdusek was annoyed that someone else was doing something he “totally could’ve done”, and even more annoyed that another lab was running similar experiments – an attempt at a vaccine for a particular sheep disease had accidentally created a prion generator. But he was happy to swoop in and claim the credit for what he was starting to think of as “slow viruses”, an infection that somehow lays dormant for years. DTM portrays Gajdusek perfectly, in that “real life has no need for verisimilitude” way. Gajdusek was at once a brilliant man, an all-consuming narcissist, an entertaining character, and a monster beyond redemption. A lesser book might pick one or two. The Family That Couldn’t Sleep portrays him as all four, and on a personality level (as opposed to a scientific one), the Gajdusek-focused parts are some of the most gripping. --------------------------------------------------------- Outside of the jumps between the Venetian family and everything else, The Family That Couldn’t Sleep is not siloed. The narratives of all prion diseases are deeply intertwined. This is what makes it a great book. It’s 300 pages of dramatic irony. You read the whole thing, waiting for the eureka moment – the point everyone realizes they’re looking at the same cause. It does, however, make it a tad difficult to review or synopsize. The book’s story is so weird – and, often, so at odds with conventional wisdom that trickles down about the Fore et al – that you have to recap quite a bit, and the book steadfastly resists recapping. The next couple chapters after we depart from Gajdusek’s credit-claiming are mostly about experiments with various prion diseases. They’re scientifically fascinating. Unlike some medical-books-for-general-audiences (cough, How Not to Study a Disease), DTM never talks down to the reader. He assumes someone reading a 300-page book about prions is smart and wants to learn about prions. He also has – you can feel it in his words – the agonizing experience of spending his life on the other side of the doctor’s desk, trying to beat into whoever he’s talking to that no, seriously, you don’t need to lie to him or try explain a complex disease at a fourth-grade level. The first prion disease studied was scrapie. Scrapie was a big deal – it starved and killed large shares of British sheep flocks, making it a serious economic problem. Veterinary researchers had tried to prevent or cure it for centuries. It was a veritable graveyard of ambitions: Quintessential was D. R. Wilson at the Moredun Institute in Scotland, who worked in the middle of the last century for more than a decade trying, with mounting frustration, to kill the scrapie agent. He found that it survived desiccation; dosing with chloroform, phenol, and formalin; ultraviolet light; and cooking at 100 degrees centigrade for thirty minutes. The scrapie researcher Alan Dickinson told me he remembered Wilson at the end of his career as “very, very, very quiet. Of course, that was after his breakdown.” “Now it is our turn to study prions. Perhaps we should approach the subject cautiously.” The problem, as DTM explains, is that prion diseases were impossible. They violated 20th-century understandings of biology. Proteins “were no more alive, and no more infectious, than bone”. Prion diseases seemed to have too many causes – genetic, infectious, and sporadic. They looked infection-like in some ways, but patients didn’t produce virus antibodies. Sheep exposed to scrapie, or chimps infected with kuru, took years to develop symptoms. Their facts did not fit together. In the 1960s, people started wondering. The unifying trait of prion agents was that they had to be denatured to be destroyed. Was this a particularly small virus defined by its protein coating? Or – even more outre – was it pure protein, no DNA at all? No one could figure out quite how the latter worked, but it was tempting. Gajdusek, by now a major figure in this field, kept a foot in both worlds. He didn’t want to stake his reputation on a no-DNA hypothesis, but he certainly sympathized. Enter Prusiner. Stanley Prusiner was Gajdusek’s counterpart. Where Gajdusek seemed permanently manic, Prusiner was deliberate and exacting. He entered Gajdusek’s “slow viruses” field in the early 1970s after a chance encounter with a CJD patient. He relished the laboratory in a way Gajdusek didn’t at all, and set out to optimize the hell out of his projects. Prusiner set out to isolate the smallest infectious particle in the scrapie agent. He injected tons of hamsters (hamsters got sick faster than mice) with increasingly tiny scrapie proteins, hoping to determine whether the Minimum Viable Scrapie was DNA. By the mid-1980s, he’d produced something so small it couldn’t possibly be a virus. Denaturing it destroyed it; exposing it to nucleic acid dissolvers actually made it stronger. Emboldened by this discovery, Prusiner set out to anoint himself the King of Prions. Here emerges something of a Voldemort-Umbridge distinction – the difference between cartoonish villainy and banal evil. Gajdusek is a bad guy because he rapes kids. Prusiner is a bad guy because he is the most grotesque stereotype of the Advisor/Peer Reviewer from Hell made flesh. Everything Prusiner did was to build his reputation atop a pile of skulls. When recruited as a peer reviewer for other prion papers, he wrote negative reviews to undermine their authors. He worked his grad students to the bone and intentionally destroyed their careers, telling them he’d “ruin them” if they entered prion research as competitors. He lied about the origin of the protein-only hypothesis, claiming he originated it a decade after it was actually conjectured. But hey, he was good at getting grants. I was surprised reading a lot of this, because for all the time I’ve been aware of it, the cause of prion disease has seemed settled. “Oh yeah, it’s a protein that gets all fucked up.” But DTM goes through just how unsettled it was right up through to The Family That Couldn’t Sleep’s publication. Serious confirmation only arrived a couple years later. Many people were deeply critical of the prion hypothesis – often, it seemed, because they loathed Prusiner too much to go along. Throughout the book, he cuts an uncharismatic figure. Gajdusek and Prusiner both won the Nobel for discovering prions, decades apart. This tells you something – the “discovery” of prions can be construed quite a few ways. Gajdusek formulated the hypothesis; Prusiner proved it. Gajdusek was grievously offended by Prusiner’s Nobel, perceiving his rival – not inaccurately – as a follower who never originated any ideas of his own. But Gajdusek was offended from a federal prison cell, so how’d that work out for him? Fascinating as all this is, no one published a book about prions in the mid-2000s because it was about kuru or FFI. They published books about prions because teenagers were dying, and people wanted to know why. DTM lays the seeds for part 3 – the mad cow section – in part 1. This is a discussion of scrapie, the longstanding prion disease of sheep. Scrapie was a medical mystery for centuries (remember poor D. R. Wilson), precisely because of the intuitive implausibility of prions. The scrapie chapter is a great history-of-science piece, covering the agricultural productivity revolutions of the 18th century, the surfeit of bizarre origins veterinarians concocted, and the treatments that never worked. Scrapie is not transmissible to humans – well, we hope. It’s concerningly transmissible to primates. But it’s been around for a long, long time, and it doesn’t epidemiologically look like humans get it...we hope. Anyway, you ever tried to generalize from one example? The British government did! In the mid-1980s, strange reports started coming out of the UK’s farms. Farmers were describing a new disease where dairy cows – incredibly docile creatures, under normal circumstances – turned hostile, kicking them as they went into the milking stalls. The symptoms looked to all the world like scrapie. Epidemiologists tracing the outbreaks found a unifying link with “cake” – animal protein feed sweetened with molasses. The scrapie-like symptoms must have traced to an infected sheep. But scrapie doesn’t transmit to humans, so it must be okay to keep slaughtering them, right? We all know how this ended. The best term for the British response to the mad cow outbreak is “cacklingly evil conspiracy”. The agricultural industry really, really didn’t need a huge zoonotic outbreak – so it decided it didn’t have one. They first suppressed all mentions that the disease looked like scrapie, then – when this became impossible – hyped up that scrapie doesn’t transmit to humans, so there’s nothing to worry about. The formal name of the disease, “bovine spongiform encephalopathy”, was supposedly chosen to optimize for unfamiliarity – it wouldn’t fit well in a headline. They emphasized, extensively, that there was nothing to worry about. Ever. At some point, people started asking questions. If there was nothing to worry about, why was the agricultural industry panicking so hard? As things became ever more worry-inducing, this turned down ludicrously twisting paths: Meanwhile, the Southwood Working Party and the experts who advised it were learning on the job. They learned, for instance, that the BSE agent entered the animal through the mouth and then followed the digestive tract into the organs that try to filter out infections—the tonsils, the guts, and the spleen—and from there traveled into the peripheral and central nervous system, and finally arrived at the brain. They also learned that pasties, meat pies, and even some baby foods contained tissues from a lot of those organs. So the Southwood Working Party recommended banning these organs, but only from baby food. This started a chain reaction of consumer doubt: if infected cow organs were unsafe for babies, how could they be good for adults? The government then banned offal, as the organs were collectively called, in all human food but gave the industry a grace period to get it out of the feed supply. Then pet food manufacturers began to wonder if what drove cows mad might not also drive dogs, cats, and parrots mad. The feed they sold came from concentrate made of the same sick animals that had previously made up the meat and bone meal farmers used. Their trade group decided to put a similar ban in place—immediately. So for five months it was safer to be a dog than a human in Britain. DTM spends pretty much this whole section of the book making fun of the British government. To be fair, they deserved it. They killed hundreds of kids in agonizing and preventable ways – they could take some ribbing. This is all throughout the mid-1980s to early-mid 1990s. Through this period, it wasn’t yet clear that mad cow could spread to humans. The panic was clear, and deserved, but it didn’t yet have a match for its powder keg. It would alight. The first suspected case of vCJD – human mad cow – was in 1994. Fifteen-year-old Vicky Rimmer developed a sudden, strange disease. Doctors gave her months to live...until she died in 1998. A couple other suspected cases trickled down through the mid-90s, including a young man who made meat pies for a living, whose grieving mother received a letter from the Prime Minister that “humans do NOT get mad cow disease”. (That must’ve been fun.) Soon, they couldn’t deny it any longer. On March 20, 1996, Stephen Dorrell, the health secretary, stood up in Parliament to announce the news that had already appeared as a tentative conclusion in scientific journals and as rumor in newspapers for the previous two years: British beef was killing British teenagers. The first confirmed death was that of Stephen Churchill, a nineteen-year-old student from Wiltshire, who died in May 1995. Back in 1989, at the Southwood Working Party’s suggestion, the government had set up a surveillance unit in Edinburgh to watch for any evidence that BSE had crossed to humans. One worry had been that if BSE passed to humans, how would anyone know it? How would you recognize something you had never seen? It turned out to be easy: Churchill and the nine other teenagers who had gotten sick had spectacular amyloid plaques in their brains, chunks of dead protein almost visible to the naked eye. If sporadic CJD was a whisper, BSE-caused prion disease was a shout. The investigators sat open-mouthed looking at slides whose damage, they feared, portended the most severe epidemic in modern British history. This part of the book is not fun. It lacks the insane personalities and duelling careers of the other entries. It is an honest chronology of the vCJD epidemic – a gruesome failure of the agricultural industry, the one system that everyone is vulnerable to. The government and industry had completely violated their duty of care to citizens and consumers. They were paying the price. No one would buy British beef anymore – not while they watched their children die. Now here’s the thing: this is ethnography, not historiography. The Family That Couldn’t Sleep is a book from the mid-2000s. The epidemic was not at all in the rear view mirror. There were piles of unanswered questions that DTM constantly alludes to. We have eighteen years more hindsight than he did then. What do we know now? --------------------------------------------------------- In 2006, the vCJD epidemic looked like it was going to be a lot better than the worst fears. BSE itself was a huge problem for the cattle industry, but honestly, no one is too sympathetic to the cattle industry. People were not going to die in anywhere near the numbers believed. We had all sorts of reassuring data coming out about this, which DTM chronicles. We were learning that only some genotypes seemed susceptible to vCJD. We didn’t see any older people die of the disease. We were seeing numbers drop, such that vCJD must have a pretty short incubation period. Anyway, all of this is wrong! The Family That Couldn’t Sleep was written in the candidate gene era. Back then, the nascent field of human genetics was sure it was about to Solve Polygenism. Yes, the simple Mendelian monogenic patterns popular a few decades back clearly didn’t apply to common diseases, but how many variants could there be? We were about to discover the five genes influencing 20% of Alzheimer’s risk each, the five genes influencing 20% of heart disease risk each, etc., and once we were done we’d just do gene therapy and cure Alzheimer’s. A paper on autism genetics from 1999 was so outre as to speculate there might be as many as fifteen genes involved. The fact we are now using the term “omnigenic model” should tell you roughly how well this worked out. Do you remember SNPedia? If you were a 2014 Slate Star Codex reader, you might. 2014 was still pretty candidate gene. People were out there publishing papers saying a single variant could increase your life expectancy by 15 years. SNPedia was a site that beautifully categorized all of these, so you could do 23andme or whatever, look up your results on SNPedia, and make horrible life choices.5 It was eventually bought out by one of the consumer DNA companies, so no one ever edited it again, making it a great time capsule of early-mid 2010s behavioural/medical genetics takes. SNPedia will excitedly explain to you that common genetic variants make you immune to vCJD. They cite a 2009 post from the now-archived 23andme blog titled “No Good Evidence That Potential Pool of Mad Cow Disease Victims Is Expanding”, explaining how fears of late-onset vCJD are clearly debunked by new Scientific Knowledge. Everyone who developed vCJD in the 1990s and 2000s had an M/M genotype in a particular part of the PRNP prion gene, so the roughly half the population with M/V or V/V genotypes were immune. The Family That Couldn’t Sleep buys this, too. In fact, it buys it in an even more agonizingly 2000s way. The first sign that transmissible prion diseases weren’t genotype-restricted should’ve been the growth hormone kids. You might have heard this story – from the late 1950s through mid-1980s, human growth hormone produced from brain tissue was used as a treatment for pituitary dwarfism, until it turned out to spread CJD if the originating brain was infected. DTM discusses this, to set the scene for the genetics thing. He mentions what was the state of the art at the time – that a disproportionate share of both the growth hormone kids and sporadic CJD cases were V/V homozygotes. This, uh – so the book was written in the mid-2000s, yeah? Yeah. The conclusion DTM drew – and this was a common conclusion at the time – was that homozygosity somehow made you more vulnerable to CJD, and M/M homozygosity made you vulnerable to BSE-borne CJD in particular. We cannot criticise the author for not predicting the future, but we live in the future, and can say how this worked out. Turns out, nope, M/V heterozygotes totally get vCJD. After a British man in his 30s died of CJD in 2016, he was found to have vCJD and an M/V genotype. He was tested for vCJD only because he was exceptionally young for someone with a sporadic prion disease – meaning people developing it later in life would be missed6. Did you know up to 1 in 2000 people in the UK have latent vCJD? There is one line in The Family That Couldn’t Sleep that stopped me dead in my tracks when I read it: What happens to the Italian family in the end depends less on their own actions than on the world’s interest in prion diseases, which they cannot control. If lots of people are afraid of getting variant CJD, the family benefits. If fear of prion disease goes the way of the fear of swine flu or Ebola, then they will be orphaned again. THIS BOOK IS FROM 2006! Three years before the swine flu pandemic! Eight years before the Ebola pandemic! “If you’re looking for a sign, this is it.” --------------------------------------------------------- The last section of The Family That Couldn’t Sleep addresses BSE fears in America and a nascent internet subculture DTM calls “Creutzfeldt Jakobins” – people who track American CJD cases, trying to spot vCJD patterns. When reading his description of the Creutzfeldt Jakobins, my mind constantly, uncontrollably turned to covid. Here it was – an online community of people deeply skeptical about a disease’s official story, tracking every contradiction, every implausibility, every statistic that failed to apply to the individual. Self-described “redneck hippies” and “soccer mom Republicans” teaming up to find the truth hidden behind an impossible world. You know what they’re doing now. I’ve always combined a deep interest in medicine with a healthy distrust for it. People who are constitutionally inquisitive, anti-authoritarian, and suspicious about official narratives tend to end up skeptical of at least some mainstream claims in the field. This is not to say I think you should take bleach enemas or something, just that I understand the impulse behind concluding the US government was covering up a local vCJD wave. Traditionally, sporadic prion diseases are said to have a prevalence of one in a million. (Hold on to that for a second.) The last section of the book is a chronology of Americans finding bizarrely more than one in a million of their friends dying of sporadic CJD, often at inexplicably young ages, sometimes in geographical clusters. This is understandably suspicious. Then DTM goes on to reassure us by saying none of these cases were confirmed to have an M/M genotype, which OH GOD OH FUCK A number of high-profile people in the prion world, including Gajdusek, are clarified as not believing sporadic prion diseases exist. You get the impression DTM doesn’t, either. Now, how common are prion diseases? Eric Vallabh Minikel has an answer for you! Eric and his wife Sonia are prion researchers from a rather unique background – after Sonia was diagnosed as having a single-gene mutation with ~100% penetrance for prion disease, they left their previous jobs to dedicate their lives to curing it. It turns out, when you run the numbers, you get not one in a million but 1 in 5000 people dying of prion diseases. This is best described as “nightmarishly high”. I’m normed on genetic disorders. A genetic disorder that affects one in five thousand people is pretty common! I have known, in person, completely unselected, just from “random people I’ve met in my life in a non-medical context”, someone with a ~1/250k syndrome and someone with a ~1/50k-100k syndrome. I don’t think anyone in my extended family knows someone who died of a prion disease. I feel like it would’ve come up if they did! Prion diseases have distinctive phenotypes. Not distinctive enough, apparently, to avoid a lot of CJD being misdiagnosed as Alzheimer’s – but diagnosis is consistently insane. Something DTM reiterates throughout The Family That Couldn’t Sleep is just what prion dementia looks like. The characteristic dementia in prion diseases spares something – “self” or “recognition” or “reflection” – that is not spared by Alzheimer’s, or by most common dementias. Shouldn’t this be, uh, noticeable?7 They kill rapidly, often over the course of months, and often onset in midlife. ALS shares this pattern and is way, way more common than prion diseases; you hear about ALS far more in the “disorder people actually have” sense. What am I missing here? Anyway: 1 in 2000 prevalence of latent vCJD in the UK + extreme lack of clarity over whether scrapie is human-transmissible + blood donations spread vCJD + sporadic CJD prevalence keeps going up = ??? (Yes, I am annoyed that most countries have lifted their ban on UK blood donors, thank you for asking!) --------------------------------------------------------- But back to the book. The “American chapter” is one-third about the country’s response to vCJD, one-third about the Creutzfeldt Jakobins, and one-third about chronic wasting disease. The last part is the most interesting. Chronic wasting disease is a prion disease of deer. Like scrapie, it “probably, we hope” isn’t human-transmissible (eat venison at your own risk). Under natural circumstances, deer shouldn’t get prion diseases: A prion plague should not be possible among ruminants in the wild. Deer are not cannibals, as the cows that spread BSE were forced to be; and, because deer and elk are not domesticated, they do not have enough contact with one another to spread a prion infection the way sheep are thought to spread scrapie. But deer do not live as they used to live, humans having once again brought their ambitions to bear on the natural course of things. The Family That Couldn’t Sleep is a book of medical anthropology. Anthropology of the Veneto, anthropology of Papua New Guinea, anthropology of 1990s Britain. Here, it is an anthropology of America. Americans, having won the world, still fight to win their own backyard. The North American continent is geographically diverse, cutting through rain-snow-shine, mountains jutting over plains, cities sprawling into wilderness, habitations criss-cross dotted with surprisingly few empty zones. Go somewhere like Denver, the Mile High City, three million people fighting against nature. Few other countries have anything like this; geographically vast polities usually have uninhabitable blocks. Australians are twenty-five million people clustered against the shore. It still surprises me, after all this time, how every US state has a meaningful city8. Midcentury Denver, growing and sprawling out across its mountains, started to run into their natural inhabitants – deer. Starvation is one way nature adjusts the deer population to the available food supply. People did not usually see this process, but in the 1950s and 1960s Colorado became more densely settled, reducing forested areas and forcing deer to look longer and harder for food. At the same time, the state enacted conservation laws, limiting when and where hunters could shoot. Soon emaciated deer began wandering onto the lawns and through suburban streets looking for a meal. People began to feed them, only to find that they died anyway. They would drop dead by haystacks, along highways, and in flower beds. In the late 1960s, a young biologist named Gene Schoonveld tried to figure out why the deer starved even when they were fed.9 He deprived some deer of food for a while, “[h]e cut windows in their stomachs to see what went on inside, and then he began to feed them”. While this was going on, he had a control group of healthy, well-fed deer as backups in case anything went wrong. It did...but not to the experimental group. The pen in which the deer were kept also housed sheep, which, it turned out, were scrapie carriers. The deer somehow acquired scrapie – there’s a huge unanswered question here, which DTM doesn’t address. How did they get scrapie? They didn’t eat the sheep, presumably. Did it somehow transmit from casual contact? This is not supposed to happen. And yet: the deer in the sheep pen started dying of a mysterious scrapie-like disease, one never reported before, that would go on to infect thousands. These deer were released into the wild. Ten years later, the first reports of chronic wasting disease came out. The disease spread across deer and elk in the western half of the country. By the turn of the millennium, cases were exploding – and lost all geographical restriction. DTM can report up to 2005, at which point it was floating around Upstate New York. This kind of spread doesn’t track natural deer migration. That’s irrelevant, because nothing about CWD’s spread is natural. We shift gears into an anthropology of the American hunter. The hunter wants to shoot the most impressive buck, to bag himself one with as many “points” as possible – one whose antlers branch out most. A “ten-point buck” has five branches on each horn: Original by Ric McArthur Nature doesn’t make enough bucks with perfectly symmetrical ten-point horns. To fill the demand, the market had to step in. Thus was born the deer farm industry, which raises captive deer in better genetic and nutritional conditions than Nature permits, then ships them across the country so hunters who couldn’t get legit ten-point bucks get the taxidermy piece for their wall. These are controversial amongst hunters and illegal in numerous states – but the industry is big enough to spread CWD. (The kind of hunter who needs a deer shipped to his house is the kind of hunter who will fumble killing it.) Another problem is supplemental feeding – leaving out protein-enriched food for deer to eat. This produces “trophy class animals at an earlier age”, but again, what’s in that protein? (“It is much like feeding your cows 41 percent protein cottonseed cake during the winter to raise the protein level in the cow’s diet to a level that will maintain acceptable production”, says that article from 1991.)10 The book segues into a vignette. CWD was new in Wisconsin in the early 2000s, and the state’s Department of Natural Resources was optimistic it could eradicate it. In a state with a love of hunting, you could, in theory, recruit people to kill every single deer in a 400-square-mile radius: In many states, the state would have had to call out the National Guard for such an onslaught, but hunting is a passion in Wisconsin. Hunters shoot 450,000 deer every year, more than in any other state. “I’m looking for ardent hunters to help us, unless fear or their wives keep them away,” one DNR official told a Milwaukee magazine. The state extended the normal hunting season and waived the usual limit of one buck per hunter, and the hunters came out in force. The whole affair was gruesome – one official called it “hunting for slob hunters”. If you’re trying to eradicate a prion disease, you can’t very well let people take the carcasses home to eat. Bodies piled up in control stations, decomposition mingling with bleach. The 2002 hunt established a base rate of 2% for chronic wasting disease in Wisconsin deer, with the most affected areas getting up to 10%. Further hunts in 2003, 2004, and 2005 spread to wider and wider areas – and didn’t move the needle one bit. This is to say that CWD is quite a bit more common in the American deer population than BSE ever was in British cattle. Since publication, it’s popped up in Norway and South Korea. Notably, Norway doesn’t allow for the import of cervids, raising numerous questions about how it got there. There are no unambiguous cases of CWD transmission to humans, and in vivo/in vitro primate studies have mixed results. There sure are some unusually young hunters with sporadic CJD, though. But don’t worry, most of them aren’t M/M homozygotes! There is an absolute ton going on in this book. I’ve had to skim over whole sections. Parts that couldn’t be easily slotted into a narrative review include: When Gajdusek was invited to a party at Prusiner’s house, he was horrified to find his rival had purchased hundreds of New Guinean statues – all with the genitals removed.
Inline links: 2, Lyttle Lytton, 3, 4, a couple years later, concerningly transmissible to primates, omnigenic model, you might, 5, SNPedia, a 2009 post, https://substackcdn.com/image/fetch/$s_!N93S!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fced2eca3-ec58-40b8-8c13-debdb559ab8f_651x601.png, Yeah., nope, M/V heterozygotes totally get vCJD, 6, up to 1 in 2000 people in the UK have latent vCJD, bleach enemas, has an answer for you, 7, blood donations spread vCJD, going, up, 8, 9, not supposed to happen, https://substackcdn.com/image/fetch/$s_!0J8B!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F2a64b287-a7c6-4d82-bbe1-da949fc93118_1024x683.png, Ric McArthur, controversial, amongst, hunters, illegal in numerous states, trophy class animals at an earlier age, 10, Norway, South Korea, mixed results, sure are
Yeah. The conclusion DTM drew – and this was a common conclusion at the time – was that homozygosity somehow made you more vulnerable to CJD, and M/M homozygosity made you vulnerable to BSE-borne CJD in particular. We cannot criticise the author for not predicting the future, but we live in the future, and can say how this worked out. Turns out, nope, M/V heterozygotes totally get vCJD. After a British man in his 30s died of CJD in 2016, he was found to have vCJD and an M/V genotype. He was tested for vCJD only because he was exceptionally young for someone with a sporadic prion disease – meaning people developing it later in life would be missed6. Did you know up to 1 in 2000 people in the UK have latent vCJD? There is one line in The Family That Couldn’t Sleep that stopped me dead in my tracks when I read it: What happens to the Italian family in the end depends less on their own actions than on the world’s interest in prion diseases, which they cannot control. If lots of people are afraid of getting variant CJD, the family benefits. If fear of prion disease goes the way of the fear of swine flu or Ebola, then they will be orphaned again. THIS BOOK IS FROM 2006! Three years before the swine flu pandemic! Eight years before the Ebola pandemic! “If you’re looking for a sign, this is it.” --------------------------------------------------------- The last section of The Family That Couldn’t Sleep addresses BSE fears in America and a nascent internet subculture DTM calls “Creutzfeldt Jakobins” – people who track American CJD cases, trying to spot vCJD patterns. When reading his description of the Creutzfeldt Jakobins, my mind constantly, uncontrollably turned to covid. Here it was – an online community of people deeply skeptical about a disease’s official story, tracking every contradiction, every implausibility, every statistic that failed to apply to the individual. Self-described “redneck hippies” and “soccer mom Republicans” teaming up to find the truth hidden behind an impossible world. You know what they’re doing now. I’ve always combined a deep interest in medicine with a healthy distrust for it. People who are constitutionally inquisitive, anti-authoritarian, and suspicious about official narratives tend to end up skeptical of at least some mainstream claims in the field. This is not to say I think you should take bleach enemas or something, just that I understand the impulse behind concluding the US government was covering up a local vCJD wave. Traditionally, sporadic prion diseases are said to have a prevalence of one in a million. (Hold on to that for a second.) The last section of the book is a chronology of Americans finding bizarrely more than one in a million of their friends dying of sporadic CJD, often at inexplicably young ages, sometimes in geographical clusters. This is understandably suspicious. Then DTM goes on to reassure us by saying none of these cases were confirmed to have an M/M genotype, which OH GOD OH FUCK A number of high-profile people in the prion world, including Gajdusek, are clarified as not believing sporadic prion diseases exist. You get the impression DTM doesn’t, either. Now, how common are prion diseases? Eric Vallabh Minikel has an answer for you! Eric and his wife Sonia are prion researchers from a rather unique background – after Sonia was diagnosed as having a single-gene mutation with ~100% penetrance for prion disease, they left their previous jobs to dedicate their lives to curing it. It turns out, when you run the numbers, you get not one in a million but 1 in 5000 people dying of prion diseases. This is best described as “nightmarishly high”. I’m normed on genetic disorders. A genetic disorder that affects one in five thousand people is pretty common! I have known, in person, completely unselected, just from “random people I’ve met in my life in a non-medical context”, someone with a ~1/250k syndrome and someone with a ~1/50k-100k syndrome. I don’t think anyone in my extended family knows someone who died of a prion disease. I feel like it would’ve come up if they did! Prion diseases have distinctive phenotypes. Not distinctive enough, apparently, to avoid a lot of CJD being misdiagnosed as Alzheimer’s – but diagnosis is consistently insane. Something DTM reiterates throughout The Family That Couldn’t Sleep is just what prion dementia looks like. The characteristic dementia in prion diseases spares something – “self” or “recognition” or “reflection” – that is not spared by Alzheimer’s, or by most common dementias. Shouldn’t this be, uh, noticeable?7 They kill rapidly, often over the course of months, and often onset in midlife. ALS shares this pattern and is way, way more common than prion diseases; you hear about ALS far more in the “disorder people actually have” sense. What am I missing here? Anyway: 1 in 2000 prevalence of latent vCJD in the UK + extreme lack of clarity over whether scrapie is human-transmissible + blood donations spread vCJD + sporadic CJD prevalence keeps going up = ??? (Yes, I am annoyed that most countries have lifted their ban on UK blood donors, thank you for asking!) --------------------------------------------------------- But back to the book. The “American chapter” is one-third about the country’s response to vCJD, one-third about the Creutzfeldt Jakobins, and one-third about chronic wasting disease. The last part is the most interesting. Chronic wasting disease is a prion disease of deer. Like scrapie, it “probably, we hope” isn’t human-transmissible (eat venison at your own risk). Under natural circumstances, deer shouldn’t get prion diseases: A prion plague should not be possible among ruminants in the wild. Deer are not cannibals, as the cows that spread BSE were forced to be; and, because deer and elk are not domesticated, they do not have enough contact with one another to spread a prion infection the way sheep are thought to spread scrapie. But deer do not live as they used to live, humans having once again brought their ambitions to bear on the natural course of things. The Family That Couldn’t Sleep is a book of medical anthropology. Anthropology of the Veneto, anthropology of Papua New Guinea, anthropology of 1990s Britain. Here, it is an anthropology of America. Americans, having won the world, still fight to win their own backyard. The North American continent is geographically diverse, cutting through rain-snow-shine, mountains jutting over plains, cities sprawling into wilderness, habitations criss-cross dotted with surprisingly few empty zones. Go somewhere like Denver, the Mile High City, three million people fighting against nature. Few other countries have anything like this; geographically vast polities usually have uninhabitable blocks. Australians are twenty-five million people clustered against the shore. It still surprises me, after all this time, how every US state has a meaningful city8. Midcentury Denver, growing and sprawling out across its mountains, started to run into their natural inhabitants – deer. Starvation is one way nature adjusts the deer population to the available food supply. People did not usually see this process, but in the 1950s and 1960s Colorado became more densely settled, reducing forested areas and forcing deer to look longer and harder for food. At the same time, the state enacted conservation laws, limiting when and where hunters could shoot. Soon emaciated deer began wandering onto the lawns and through suburban streets looking for a meal. People began to feed them, only to find that they died anyway. They would drop dead by haystacks, along highways, and in flower beds. In the late 1960s, a young biologist named Gene Schoonveld tried to figure out why the deer starved even when they were fed.9 He deprived some deer of food for a while, “[h]e cut windows in their stomachs to see what went on inside, and then he began to feed them”. While this was going on, he had a control group of healthy, well-fed deer as backups in case anything went wrong. It did...but not to the experimental group. The pen in which the deer were kept also housed sheep, which, it turned out, were scrapie carriers. The deer somehow acquired scrapie – there’s a huge unanswered question here, which DTM doesn’t address. How did they get scrapie? They didn’t eat the sheep, presumably. Did it somehow transmit from casual contact? This is not supposed to happen. And yet: the deer in the sheep pen started dying of a mysterious scrapie-like disease, one never reported before, that would go on to infect thousands. These deer were released into the wild. Ten years later, the first reports of chronic wasting disease came out. The disease spread across deer and elk in the western half of the country. By the turn of the millennium, cases were exploding – and lost all geographical restriction. DTM can report up to 2005, at which point it was floating around Upstate New York. This kind of spread doesn’t track natural deer migration. That’s irrelevant, because nothing about CWD’s spread is natural. We shift gears into an anthropology of the American hunter. The hunter wants to shoot the most impressive buck, to bag himself one with as many “points” as possible – one whose antlers branch out most. A “ten-point buck” has five branches on each horn: Original by Ric McArthur Nature doesn’t make enough bucks with perfectly symmetrical ten-point horns. To fill the demand, the market had to step in. Thus was born the deer farm industry, which raises captive deer in better genetic and nutritional conditions than Nature permits, then ships them across the country so hunters who couldn’t get legit ten-point bucks get the taxidermy piece for their wall. These are controversial amongst hunters and illegal in numerous states – but the industry is big enough to spread CWD. (The kind of hunter who needs a deer shipped to his house is the kind of hunter who will fumble killing it.) Another problem is supplemental feeding – leaving out protein-enriched food for deer to eat. This produces “trophy class animals at an earlier age”, but again, what’s in that protein? (“It is much like feeding your cows 41 percent protein cottonseed cake during the winter to raise the protein level in the cow’s diet to a level that will maintain acceptable production”, says that article from 1991.)10 The book segues into a vignette. CWD was new in Wisconsin in the early 2000s, and the state’s Department of Natural Resources was optimistic it could eradicate it. In a state with a love of hunting, you could, in theory, recruit people to kill every single deer in a 400-square-mile radius: In many states, the state would have had to call out the National Guard for such an onslaught, but hunting is a passion in Wisconsin. Hunters shoot 450,000 deer every year, more than in any other state. “I’m looking for ardent hunters to help us, unless fear or their wives keep them away,” one DNR official told a Milwaukee magazine. The state extended the normal hunting season and waived the usual limit of one buck per hunter, and the hunters came out in force. The whole affair was gruesome – one official called it “hunting for slob hunters”. If you’re trying to eradicate a prion disease, you can’t very well let people take the carcasses home to eat. Bodies piled up in control stations, decomposition mingling with bleach. The 2002 hunt established a base rate of 2% for chronic wasting disease in Wisconsin deer, with the most affected areas getting up to 10%. Further hunts in 2003, 2004, and 2005 spread to wider and wider areas – and didn’t move the needle one bit. This is to say that CWD is quite a bit more common in the American deer population than BSE ever was in British cattle. Since publication, it’s popped up in Norway and South Korea. Notably, Norway doesn’t allow for the import of cervids, raising numerous questions about how it got there. There are no unambiguous cases of CWD transmission to humans, and in vivo/in vitro primate studies have mixed results. There sure are some unusually young hunters with sporadic CJD, though. But don’t worry, most of them aren’t M/M homozygotes! There is an absolute ton going on in this book. I’ve had to skim over whole sections. Parts that couldn’t be easily slotted into a narrative review include: When Gajdusek was invited to a party at Prusiner’s house, he was horrified to find his rival had purchased hundreds of New Guinean statues – all with the genitals removed.
Inline links: Yeah., nope, M/V heterozygotes totally get vCJD, 6, up to 1 in 2000 people in the UK have latent vCJD, bleach enemas, has an answer for you, 7, blood donations spread vCJD, going, up, 8, 9, not supposed to happen, https://substackcdn.com/image/fetch/$s_!0J8B!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F2a64b287-a7c6-4d82-bbe1-da949fc93118_1024x683.png, Ric McArthur, controversial, amongst, hunters, illegal in numerous states, trophy class animals at an earlier age, 10, Norway, South Korea, mixed results, sure are
Original by Ric McArthur Nature doesn’t make enough bucks with perfectly symmetrical ten-point horns. To fill the demand, the market had to step in. Thus was born the deer farm industry, which raises captive deer in better genetic and nutritional conditions than Nature permits, then ships them across the country so hunters who couldn’t get legit ten-point bucks get the taxidermy piece for their wall. These are controversial amongst hunters and illegal in numerous states – but the industry is big enough to spread CWD. (The kind of hunter who needs a deer shipped to his house is the kind of hunter who will fumble killing it.) Another problem is supplemental feeding – leaving out protein-enriched food for deer to eat. This produces “trophy class animals at an earlier age”, but again, what’s in that protein? (“It is much like feeding your cows 41 percent protein cottonseed cake during the winter to raise the protein level in the cow’s diet to a level that will maintain acceptable production”, says that article from 1991.)10 The book segues into a vignette. CWD was new in Wisconsin in the early 2000s, and the state’s Department of Natural Resources was optimistic it could eradicate it. In a state with a love of hunting, you could, in theory, recruit people to kill every single deer in a 400-square-mile radius: In many states, the state would have had to call out the National Guard for such an onslaught, but hunting is a passion in Wisconsin. Hunters shoot 450,000 deer every year, more than in any other state. “I’m looking for ardent hunters to help us, unless fear or their wives keep them away,” one DNR official told a Milwaukee magazine. The state extended the normal hunting season and waived the usual limit of one buck per hunter, and the hunters came out in force. The whole affair was gruesome – one official called it “hunting for slob hunters”. If you’re trying to eradicate a prion disease, you can’t very well let people take the carcasses home to eat. Bodies piled up in control stations, decomposition mingling with bleach. The 2002 hunt established a base rate of 2% for chronic wasting disease in Wisconsin deer, with the most affected areas getting up to 10%. Further hunts in 2003, 2004, and 2005 spread to wider and wider areas – and didn’t move the needle one bit. This is to say that CWD is quite a bit more common in the American deer population than BSE ever was in British cattle. Since publication, it’s popped up in Norway and South Korea. Notably, Norway doesn’t allow for the import of cervids, raising numerous questions about how it got there. There are no unambiguous cases of CWD transmission to humans, and in vivo/in vitro primate studies have mixed results. There sure are some unusually young hunters with sporadic CJD, though. But don’t worry, most of them aren’t M/M homozygotes! There is an absolute ton going on in this book. I’ve had to skim over whole sections. Parts that couldn’t be easily slotted into a narrative review include: When Gajdusek was invited to a party at Prusiner’s house, he was horrified to find his rival had purchased hundreds of New Guinean statues – all with the genitals removed.
A lot of "draconian" solutions necessarily require the criminal law (because you get minimal returns out of suing homeless or very poor people). In the United States, this means you're activating a ludicrously inefficient system to deal with low-level problems. It might be satisfying to a person of a deontological bent that no theft go unpunished, but it's hardly optimal. A lot of "soft on crime" policies in my jurisdiction come from a place of simply not wanting to bother with the time and expense of punishing an instance of shoplifting.
Okay, but other countries solve crime without mass incarceration. France/Germany/Britain have 20% the incarceration rate that we do. So why don’t we eliminate 80% of prisons and use handwave handwave welfare social services to handle the former inmates? Now conservatives will start mumbling about American exceptionalism blah blah blah.
See my review of Revolt Of The Public. As I tried to say in the first part of the post, this is reasonable and sympathetic. But if people keep not listening to your demands, then learning more about the specifics might help you understand why. There’s a dynamic in gun control debates, where the anti-gun side says “YOU NEED TO BAN THE BAD ASSAULT GUNS, YOU KNOW, THE ONES THAT COMMIT ALL THE SCHOOL SHOOTINGS”. Then Congress wants to look tough, so they ban some poorly-defined set of guns. Then the Supreme Court strikes it down, which Congress could easily have predicted but they were so fixated on looking tough that they didn’t bother double-checking it was constitutional. Then they pass some much weaker bill, and a hobbyist discovers that if you add such-and-such a 3D printed part to a legal gun, it becomes exactly like whatever category of guns they banned. Then someone commits another school shooting, and the anti-gun people come back with “WHY DIDN’T YOU BAN THE BAD ASSAULT GUNS? I THOUGHT WE TOLD YOU TO BE TOUGH! WHY CAN’T ANYONE EVER BE TOUGH ON GUNS?” I don’t know if the anti-gun people are doing anything wrong here exactly, I just know they’re going to be constantly confused and disappointed, and that anyone else who tries the same strategy will get the same results. Realistically, my excuse for writing the post was that I read this and this article by Freddie deBoer which assume that there is some clearly-defined thing called “involuntary treatment” and that the kindest option for the mentally ill and everyone else is to lift some kind of law preventing us from delivering it. Even if it’s permissible for the average person to just say “less homeless crime, please”, I feel like at the point where you’re a public intellectual leading the public discussion, you have some responsibility to start talking specifics. 2. Specific Comments And Responses Shako (blog) writes: I agree with your point in the post. I’ll add though that a policy that is adjacent to this is be “cruel and draconian” to the subset of homeless who commit anti-social crimes. If we removed the subset of criminals from west coast homelessness the problem would be still visible but far far less concerning to those of us who live among it. This is where I land too, but I think it’s very hard. If a homeless person stabs someone, then I think most places (I don’t know if this includes SF), they get prosecuted under general anti-stabbing laws, which the police mostly have enough resources to investigate. If someone just gets in people’s face a lot and screams and litters, then what? Most of the time, police won’t be around to see this. Most of the time, the victim won’t go through the trouble of pressing charges. If they did, it would be he said, she said. Even if the government puts in the effort to actually try the case, screaming at people and littering is probably a couple-month sentence at most. Eledex tells a related story in Part 3 here. A group of homeless people took up residence in an empty lot next to his house, harassed him, set things on fire, etc. This is much worse than the average homeless person just bothering tourists, but when he called the police, they never followed up. I assume if they had tried, the homeless people’s public defender could have said something like “are you sure these homeless people are the same ones who set fire to your stuff?”, Eledex would have said “they’re the homeless people camping on the lot where it happened, but I don’t, like, recognize them or anything”, the public defender would have said “well how do you know those people didn’t leave and some new homeless people came on to the lot?” and everyone would admit they couldn’t prove that. So the normal criminal system might not be set up to deal with these kinds of issues, which I think is why there’s so much demand for some extreme law that criminalizes the entire concept of being this sort of person. But I do worry that if police don’t have the resources to deal with normal crimes, then whoever is charged with enforcing the new extreme law won’t have enough resources to do it well either - and that any society capable of enforcing the new extreme law would also be capable of solving this through normal policing. Humphrey Appleby writes: Can we look at what other places do? What is eg Salt Lake City’s solution? (Possibly, export the homeless to SF). What about Zurich? Singapore? Edinburgh? The US in general and SF in particular seems to have this problem unusually bad, so one could reasonably look elsewhere for ideas. I talk a little more about this at https://www.astralcodexten.com/p/book-review-san-fransicko, but I think most places' solutions are a combination of: 1. Cheaper housing so that more people can afford homes 2. Cheaper housing so that the government has an easier time giving free homes to people who can't afford their own 3. Homeless shelters 4. Frequent bad weather, forcing the homeless to use the homeless shelters at least sometime, which gets their foot in the door 5. Laws requiring the homeless to use the homeless shelters, which I am much less against when the homeless shelters exist. Doktor Zum writes: At one point, there were something like 600,000 Americans in long-term psychiatric institutions, and that was in a less populous America. Start by locking up 600K and then lock up more. Ah, but where do you put them? The 50 states are dotted with the creepy and picturesque ruins of all the old mental asylums--you can't put them there! It's true that the current government (states, local and federal) are totally incapable of building and running a vast network of psychiatric hospitals, but don't we want government to do things like build nuclear power plants and also lots of housing? If I'm making an argument for cheaper housing and you say "government can't/won't ever allow more building," am I supposed to say that you have won the argument? Unless we want to embrace full anarcho-capitalism, we have to believe that it is possible to have a government that can do things that it did in the 1950s like (a) apprehend and detain the severely mentally ill, (b) back and create lots of nuclear power plants, and (c) build abundant housing and infrastructure. People say “we had giant institutions once, so we can do it again”. This is basically true, but with some missed subtlety. The 600,000 people in the old institutions included: Demented old people (eg Alzheimers)
The lack of evidence that all this is happening is entirely explained through coordinated media silence as well as the widespread use of body doubles and clones. The heart of Real Raw News, and the source of most of its entertainment value, is its accounts of the supposed secret military tribunals occurring at America’s Guantanamo Bay Naval Base in Cuba, better known as Gitmo2. For more than three years, the site has produced one article after another describing the arrest, trial, and execution of dozens of major and not-so-major figures in American life. Hillary Clinton? Arrested, tried, executed. Bill Gates? Arrested, tried, executed. Dick Cheney? Fled the country via a secret underground tunnel to a CIA airfield, but then returned to America on vacation for some reason3, arrested, tried, executed. George W. Bush, Hunter Biden, Anthony Fauci, Gavin Newsom, Mark Milley, Victoria Nuland, Tom Hanks (?), Brian Stelter (???) – All arrested and executed, in turn4. Almost all defendants are hanged, which actually is not the method prescribed by the Uniform Code of Military Justice, but has the advantage of being far more cinematic. It would be easy for all of this to get old, but like with variations in classical music, subtle differences to each iteration enrich the whole. Some defendants desperately try to deny responsibility for their crimes. Some arrogantly taunt the tribunal, assuming until the very end that they are untouchable. Some literally scream as though demon-possessed. Some fake senility or amnesia. But crucially, all of them face justice, one way or another. An entry published just before this contest’s deadline is a lovely example: Representing himself, [Fulton County Superior Court Judge Scott] McAfee in opening remarks talked himself into an early verdict. He said no one and nothing, not even imprisonment, would prevent him from destroying the Trump family. Handcuffed at the defense table, he glared at the panel and said he would topple the Trump empire, building by building, brick by brick, and wouldn’t rest until every Trump supporter was behind bars or dead. “Then I’ll take care of the people here and this place,” McAfee said. “Mr. McAfee, I’m told you are of sound mind and know where you are, right?” Admiral Stephens asked5. “I’m in a Kangaroo court in the Banana Republic of Trump, staring at a guy who couldn’t hack it in the real world, couldn’t run a private practice, get a partnership, or sit on a real bench, so he went into the military,” McAfee said. “Have you ever heard of Trump Derangement Syndrome, Mr. McAfee?” the Admiral asked. “Because you have the worst case I’ve seen, and I’ve seen several.” “Trump is finished. He’ll be in jail soon, and when he is, your house of cards collapses,” McAfee said. “It might seem that way, but it only seems that way,” the Admiral said. “You might as well find me guilty. I’ll never stop hating Trump and I’ll never stop working to demolish everything he stole. He was born guilty, and he’ll be guilty until the day he dies. That’ll be the only word on his gravestone: GUILTY!” McAfee shouted. The lead panelist, a Marine Corps major, politely interrupted: “Admiral, sir, we don’t have to hear any more. McAfee mocks this court, and we find him guilty of the treason charge. Additionally, we are in agreement he should hang for his crimes.” Admiral Stephens nodded contemplatively. “I side with these fine officers. Mr. McAfee, you are hereby sentenced to hang for treason against the United States of America.” His execution is scheduled for May 15. Yes, this is the judge of Trump’s criminal case in Fulton County. In the Real Raw News world, Trump’s various legal adventures are both real and fake at the same time. Apparently, Trump could completely ignore these proceedings, and the military in fact begs him to do so, but he chooses to place himself in danger from some unseen, Christ-like self-sacrificial motive. That motive, it appears, is getting evil judges to expose their bias by ruling against him, so that they can be arrested and executed for treason. The site often offers an alternative narrative regarding events in the official, Deep State-backed news narrative. When Colin Powell died, RRN was there to explain that he actually committed suicide, fearing arrest by the military. When former Tom Hanks co-star Peter Scolari died of cancer, RRN swooped in to attribute his demise to an unexpected military tribunal6. This pattern is one of the chief reasons fans cite for believing the site: Isn’t it incredible, they say, how some of the same people RRN reports the executions of just happen to have recently died or been hospitalized in the mainstream press? What are the odds? Perhaps surprisingly, the star figure in Real Raw News’s tapestry of blood is not Donald Trump; like Gandalf or Dumbledore, he is a heroic but distant and largely off-screen figure. Instead, the primary hero is Rear Admiral Darse Crandall, who dispenses lethal justice with shocking efficiency while always being ready with a good quip: Admiral Crandall ordered [Arizona Governor Katie] Hobbs not to intimidate the witness. “You lack decorum, detainee Hobbs, and your insouciance ends here. We revoke your right to further question this witness and ask the panel to render a verdict on the charges against you.” The admiral dismissed Jane Doe, and the panel unanimously found Hobbs guilty, recommending she hang to death. “I won’t let you do this to me,” Hobbs screeched. “It’s already done,” said Admiral Crandall. “And have a Merry Christmas—in whatever afterlife you wind up in.” He scheduled her execution for December 22. Adm. Crandall is in fact a real person, currently serving as Judge Advocate General of the Navy. Admiral Crandall seems like a nice and professional fellow, and I badly want to know what he makes of his alternate persona. I like to hope that he enjoys it; maybe he jokingly warns his subordinates to do their jobs right or else they’ll be arrested and executed. If anybody knows otherwise, please do not disabuse me of this fantasy. Lesser fake news auteurs will puke out lame one-and-done articles about the moon landing or JFK or whatever, with zero internal consistency. Baxter is better. His military tribunals are reported out in detail. Even the most minor figures receive dedicated articles for their arrest, their trial, and their demise, but the biggest names receive genuine weeks-long productions. Hillary Clinton’s tribunal spans five days, until damning testimony from her former aide (and lover) Huma Abedin sends her to the gallows. Former president Bush’s arrest and tribunal is a ten-part epic lasting nearly two months, and includes details that are eccentric even by 9/11 truther standards: Supposedly, the real death toll of 9/11 (which Bush orchestrated) was 7,000, but Bush deemed this number too high to win reelection, so the real number was suppressed and 4,000 families were silenced with enormous bribes that also served to stimulate the economy. Good thing all the plotting was caught on tape, or he might have gotten away with it. Baxter never rushes things. Remember how the Colorado Supreme Court tried to kick Trump off the primary ballot in late 2023? Lesser fake newsers might have had the entire 4-vote anti-Trump majority arrested at once, but Baxter is cannier. In his reporting, one justice was arrested immediately, but the other three went on the run , and took months to capture. As of this writing we’re still waiting for their tribunal. I hope it’s a barn-burner! Baxter knows that while crass wish fulfillment is easy, truly great stories need formidable villains. Amidst the many arrests and hangings of Baxter’s saga are cinematic setbacks. Sometimes, the Marines don’t get their man: [Biden White House Covid-19 response coordinator Ashish] Jha was five feet away from his vehicle when two Marines with an arrest warrant approached him, informing him that he was being placed under arrest on charges of mass murder. Jha erupted in laughter, saying, “You don’t even know who we are.” He exploded in a crimson fireball that blew his and the Marines’ bodies to bits throughout the parking lot. […] The Marines brought what remains they could to Fort Bragg, where medical examiners deduced that Jha was not Jha, but a clone in which someone had planted a subdermal detonator connected to HMX explosives. And then, there is the looming presence of RRN’s chief villain: Former U.S. President Barack Obama. Members of the deep state make a warped pledge of allegiance to “The United States of Ukraine” and to “one world under Obama.” Other arms of the deep state might be taken down, but Obama himself always lurks in the shadows, controlling and commanding. The occasional attempt to take him down runs into the kind of problems you’d expect: “Why?” Obama gurgled and died. Inexplicably, the body spontaneously combusted, starting at both hands and spreading to the arms and chest. Special Forces tried extinguishing the flames with sand and water, but their efforts were in vain—the flames were rapidly charring burnt flesh. “Check his feet,” the Special Forces lead, who had been trained to spot body doubles and clones, called out. They swiftly yanked off Obama’s socks and sneakers and saw he had flat feet, and that his sneakers had been augmented to fit people with fallen arches. They pulled down his pants; Obama had no genitals, a telltale indicator of cloning. The body became too hot to touch and was soon consumed by fire. Like Bob Ross, Michael Baxter has no mistakes, only happy little accidents. In late 2021, RRN reported on the conviction of the late Chelsea Clinton’s husband, Marc Mezvinsky. Being only a lackey in the Clintons’ plot to abduct children and sell them on the black market, Mezvinsky received a comparatively lenient life sentence. But wait! Two months later, Gitmo’s chaplain mentioned in passing that he had attended Mezvinsky’s execution. Eagle-eyed readers saw the discrepancy and cried foul. But Baxter didn’t miss a beat. When Baxter reported on the arrest of former Obama adviser David Axelrod, only to publish no follow-up, he had a ready explanation a year later: Axelrod had been executed without trial by being thrown out of an airplane, and it took months for Baxter to learn the truth. I’ll admit, I find Baxter’s efforts to maintain narrative integrity incredibly charming, given how they clash with the latent absurdity of the whole endeavor. Like most fictional universes, the Real Raw Newsiverse crumbles if you think about it too hard. If there are White Hat and Black Hat partitions of the military, how does military procurement work? How do newly-enlisted personnel know which faction they are joining? Do the two factions have separate recruiters? And when literally everyone carries a basic video camera in their pocket, and social media access is universal, how are major battles being fought on American soil with zero video evidence anywhere? At the meta level, the entire construct gets even sillier. The conceit of the site is that Trump has secretly left power to entrap his foes…yet then his allies go and blab the entire “real” story to an online blog. The cover for this is that the masses simply don’t believe it, but you know who would definitely know whether the blog is accurate? The Deep State! Yet despite this, in RRN lore sinister actors from Andrew Cuomo to Oprah are always caught off guard when Delta Force7 smashes down their door and zip-ties their hands for a one-way trip to Cuba. Okay, But So What? You might be tempted to think this is all irrelevant rambling into the void. But if you think that, you’re mistaken. The thing is, Real Raw News is popular. Really popular. It got more than 2 million page visits in January. It’s a lot more popular than this blog and even outdraws some established publications like The Nation. “Okay, views are views, but does anyone really believe this?” you may ask, perhaps derisively. Well, it falls to me to say that yes, yes they do. The typical RRN article gets hundreds upon hundreds of comments. And sure, a lot of them are “My mother is being paid $2,000/day working from home” spam, but most of them are not. Hundreds upon hundreds of comments are from readers grateful to Baxter for sharing the “truth.” Even more unsettling are comments from people who spot a problem with the occasional story, but still trust Baxter overall. Baxter has a donation page on Christian crowdfunding site GiveSendGo. It has raised more than $210,000 and donations continue to pour in on a daily basis. Sure, some donation messages clearly indicate people who are in on the joke…but many more do not. But I don’t just need to guess based on comments and donation messages. In this realm, I can appeal to personal experience. I work in the broader world of American right-of-center politics, and we encounter Real Raw News believers constantly. We get emails from people who confidently insist the public-facing news of the day is fake, and the truth about the events at Gitmo will soon be revealed. At public Q&A events, we’ve fielded questions from genuinely nervous and worried people, who complain about their friends losing hope and being blackpilled by the news, and want to know why there hasn’t been more effort to share what’s “really” going on. A friend of mine who served in the Trump administration has described attending parties where, when he mentioned looking for a post-admin job, he received knowing looks and wink-wink-nudge-nudge remarks from people signaling they knew what was “really” going on. Somehow and someway, a lot of people believe or half-believe or badly want to believe this stuff. And where a lot of people do anything, there are takeaways to be found! In my three-plus years of reading all news that is both real and raw, here is what I’ve found. Conspiracies Evolve Like Comic Book Lore In his review of the Alexander Romance, Scott remarked that figures like Alexander the Great or Hercules were, essentially, the pre-modern versions of Batman: Stories about them are a genre, with countless different variations and stylistic choices that evolve over time, with just a few set principles guiding all of them. The Real Raw Newsiverse, and other modern conspiracy theories, also function like comic book lore. Just like Batman, and just like Hercules, “Donald Trump” has become a genre. Fake news stories about him and his Deep State enemies have a few core premises (adrenochrome, pedophile cabals, there is a Plan and we should Trust It) but endless room for variation past that point. Fans of comic books, soap operas, or The Simpsons might be familiar with something TVTropes calls “comic book time.” Certain facets of a fictional reality are locked in place, and with the passage of time everything else is gradually retconned to maintain the status quo. In season 2 of the Simpsons, Homer and Marge started dating in 1974, in Season 3 Marge becomes pregnant with Bart in 1980 (after a date watching The Empire Strikes Back), and in season 4 it’s revealed that Homer missed the Moon Landing to listen to “Yummy, Yummy, Yummy.” Tragically, though, The Simpsons kept going past season 10, and if Homer was 18 in 1974 that would make him eligible for a full Social Security benefit today. So in 2008, the continuity changed so that Homer was in a Nineties grunge band just before marrying Marge8. The Simpsons writers have avoided rejiggering the canon since, but if they do, they’ll have to confront the fact that 30-something Homer and Marge are now millennials, and in a decade they’ll be members of Gen Z. You may live to see a Simpsons flashback episode about Homer and Marge living as hipsters in Brooklyn during the 2010s (truly, we live in cursed times.) But the same phenomenon exists in the world of conspiracies. Instead of a consistent, elaborate canon, what we have is a few story beats with a lot of customization and the occasional retcon. When Baxter first began posting his stories, a core part of the narrative was that Donald Trump still secretly had all the powers of the presidency and was still in command of the entire U.S. military command. Early articles promised that Trump’s apparent loss of office was only a temporary ruse, necessary to expose the worst elements of the Deep State, but that Trump’s triumphal return to power would take place by July 4, 2021. The national media might have put on a song and dance suggesting otherwise, but behind the scenes, loyal military forces were the real ones in control. This control even extended to the military helpfully house-sitting the White House and not letting Biden use it. Despite his illegitimate victory, Biden met an unwelcome surprise when he arrived at the White House on January 20. Instead of getting a ceremonial greeting, he and Kamala Harris were stopped by National Guard and U.S. Marines at the barbwire fence encircling the White House. The Marines informed them that the military had assumed control of the Executive Branch and instructed them to vacate the area. When Harris belligerently said, “Move aside, we’re president now,” the Marines locked the gate. […] To avoid shame and maintain an illusion of power, Biden’s people concocted a ruse, supported by his media allies, to deceive the American public into believing he had won a fair election and had moved into the White House on schedule. Inside Actor/Producer Tyler Perry’s 300-acre Atlanta estate sits a three-story stucco replica of the commander-in-chief’s residence, which he originally built as a set piece for a television show. […] Although the replicant White House is built to 80% scale, on television and in images it’s indistinguishable from 1600 Pennsylvania Avenue. Biden and Harris have been using the facsimile to feign leadership and impose despotic rule on the nation. Of course, July 4 came and went, with Trump’s return nowhere to be seen, so the canon simply updated: In the new narrative, the military had been conducting a year-long election fraud audit on Trump’s behalf, the results were nearly ready for public release, and Trump’s return would simply be “swift.” But no swift return has transpired, and so as the 2024 election has approached, the lore has evolved in the direction of Trump authentically running in this election and simply reclaiming power by winning it. As time has passed, more subtle changes have had to pile up. Early on, RRN reported that Joe Biden was a brain dead semi-corpse being held at Walter Reed, and any public appearances by “Biden” were one of several actors. But after four years of Let’s Go Brandon, Biden himself has become a more popular villain, and so quietly references to his brain-dead status have disappeared. In the early days of RRN, the military was firmly behind Trump and any implication that Biden held the powers of commander-in-chief was a media-fueled sham. But as time has passed, Trump being the “real” commander-in-chief over a loyal military has evolved into a reality where there are two American militaries, a “White Hat” faction loyal to Trump and “Black Hats” loyal to Biden. Early stories implied the White Hats were more numerous, but recent stories have implied the opposite, with the White Hats an elite force that often wins battles decisively while badly outnumbered. A secret purge has gradually become a secret civil war, specifically one with frequent war crimes: White Hat forces in Maui have eradicated or repelled all but a handful of the felonious FEMA agents who began terrorizing the tropical paradise in the aftermath of the inexplicable blaze that razed Lahaina and surrounding towns in early August, a source in General Eric M. Smith’s office told Real Raw News. Since mid-August, United States Marines have fought with FEMA patrols in Lahaina, Kaanapali, Wailuku, Maalaea, and Pukalani, and the skirmishes resulted in the deaths of approximately 475 federal goons and, alas, 34 valiant Marines. The Marines died upholding the Constitution of the United States; the feds died trying to defend the criminal Biden regime. […] “The Marines died valorously,” our source said. “We ain’t taking FEMA prisoners from the rank and file, only the key players. General Smith made it clear it’s weapons-free. Those bastards know damn well they’re following unlawful orders, and they’ll pay the price.” I think the ever-evolving nature of conspiracies is actually pretty important to psychologically grasping their appeal. I have a friend who is a big believer in 9/11 Trutherism. He once compelled me to watch the documentary “The New Pearl Harbor,” an exhausting 5-hour film promoting 9/11 conspiracies. If one actually watches, one quickly discovers that a lot of 9/11 conspiracy theories are mutually exclusive, or at least don’t mesh well together: One conspiracy argues that fighter jets were intentionally diverted the wrong direction to keep them from shooting down the hijacked jets approaching New York, while another conspiracy suggests that United 93 was shot down, and it was all covered up. In some versions, the planes didn’t hit the Twin Towers at all. Sometimes Bush did it, and sometimes Israel did it, and so on. Similarly, in my career I’ve worked adjacent to people who, like RRN, were very hostile to Covid-19 shots. That hostility made them sequentially endorse wildly different assertions about how the vaccines worked. Sometimes, the vaccines contain heavy metals. Sometimes, they contain hydra DNA to turn recipients into partially non-human chimeras. Sometimes, the vaccines are a depopulation agent. Sometimes, they’re a mind-control agent, or a killswitch that can be activated by self-assembling nanomachinery. One viral documentary in 2022 claimed that Covid was caused by snake venom in the water supply, and that Covid vaccines were an additional dose of snake venom to keep people sick (all this, of course, because the snake is Satan’s animal). What stands out isn’t the silliness of these particular theories, but that I saw them sequentially endorsed by the same people. Some of these people are smart enough to notice inconsistencies, at least when they’re pointed out, so why don’t they bother them? To some extent, I think it’s for the same reason people don’t care that every Batman story doesn’t perfectly line up. Consistency isn’t the point! What actually matters is enjoying individual stories and the wider genre they fit into. Covid vaccine haters don’t think too hard about any specific story. Instead, they’re driven by a core impulse of “distrust the new vaccine that people I distrust are promoting,” and every conceivably story or tale that feeds that genre of thought is, for them, worthwhile. Similarly, Real Raw News fans don’t think too hard about any specific story. Instead, I think their core impulse is, ironically, profound disappointment in how the Trump administration failed to deliver. Trump shook up the American political landscape more than anyone in living memory, and promised sweeping changes to every level of American government, yet his actual administration proved rather disorderly, changed far less than was promised, and then lost power after one term. For many, this simply prompted a revision in how they saw Trump. But for others, the preferred response is to embrace a fantasy reality where Trump is a superhero. I actually think the reverse side of this explains things like the durability of Russiagate: If you’re a normal American liberal, everything Trump says is offensive and piggish, but to justify their level of disdain for them, many needed to elevate his evil to the level of treason, even if that never really made any sense. It can't just be that Trump is an egotistical jerk or a narcissist or whatever. He's got to be a traitor who's going to end American democracy. People Crave Extreme, Over-the-Top, and Underhanded Solutions. At the height of the French Revolution’s Reign of Terror, the Committee of Public Safety pushed through the Law of 22 Prairial. The law simplified the procedures of the country’s Revolutionary Tribunal by: Defining a whole heap of activities as criminal treason, including “creating scarcity,” disparaging the National Convention, “inspiring discouragement,” and spreading fake news.
Inline links: 2, Arrested, tried, executed, Arrested, tried, executed, secret underground tunnel, for some reason, 3, tried, executed, George W. Bush, Hunter Biden, Anthony Fauci, Gavin Newsom, Mark Milley, Victoria Nuland, Tom Hanks, Brian Stelter, 4, variations, entry, 5, committed suicide, 6, real person, Supposedly, arrested immediately, months, Sometimes, warped pledge, kind of problems, conviction, https://substackcdn.com/image/fetch/$s_!5uuY!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fcc5e8197-f02d-4221-9186-4bcc4f165c72_759x723.png, arrest, thrown out of an airplane, 7, more than 2 million page visits, this blog, The Nation., https://substackcdn.com/image/fetch/$s_!EJFm!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F66137a9b-260a-4cfa-adf3-c02c069dabd9_712x351.png, donation page, https://substackcdn.com/image/fetch/$s_!AVfs!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F16499732-4a26-43a0-8cd2-9dc38d5c6ac5_971x306.png, review, “comic book time.”, in 1974, listen to “Yummy, Yummy, Yummy.”, in a Nineties grunge band, 8, take place by July 4, 2021, house-sitting the White House, “swift.”, civil war, snake venom in the water supply, Law of 22 Prairial
But I don’t just need to guess based on comments and donation messages. In this realm, I can appeal to personal experience. I work in the broader world of American right-of-center politics, and we encounter Real Raw News believers constantly. We get emails from people who confidently insist the public-facing news of the day is fake, and the truth about the events at Gitmo will soon be revealed. At public Q&A events, we’ve fielded questions from genuinely nervous and worried people, who complain about their friends losing hope and being blackpilled by the news, and want to know why there hasn’t been more effort to share what’s “really” going on. A friend of mine who served in the Trump administration has described attending parties where, when he mentioned looking for a post-admin job, he received knowing looks and wink-wink-nudge-nudge remarks from people signaling they knew what was “really” going on. Somehow and someway, a lot of people believe or half-believe or badly want to believe this stuff. And where a lot of people do anything, there are takeaways to be found! In my three-plus years of reading all news that is both real and raw, here is what I’ve found. Conspiracies Evolve Like Comic Book Lore In his review of the Alexander Romance, Scott remarked that figures like Alexander the Great or Hercules were, essentially, the pre-modern versions of Batman: Stories about them are a genre, with countless different variations and stylistic choices that evolve over time, with just a few set principles guiding all of them. The Real Raw Newsiverse, and other modern conspiracy theories, also function like comic book lore. Just like Batman, and just like Hercules, “Donald Trump” has become a genre. Fake news stories about him and his Deep State enemies have a few core premises (adrenochrome, pedophile cabals, there is a Plan and we should Trust It) but endless room for variation past that point. Fans of comic books, soap operas, or The Simpsons might be familiar with something TVTropes calls “comic book time.” Certain facets of a fictional reality are locked in place, and with the passage of time everything else is gradually retconned to maintain the status quo. In season 2 of the Simpsons, Homer and Marge started dating in 1974, in Season 3 Marge becomes pregnant with Bart in 1980 (after a date watching The Empire Strikes Back), and in season 4 it’s revealed that Homer missed the Moon Landing to listen to “Yummy, Yummy, Yummy.” Tragically, though, The Simpsons kept going past season 10, and if Homer was 18 in 1974 that would make him eligible for a full Social Security benefit today. So in 2008, the continuity changed so that Homer was in a Nineties grunge band just before marrying Marge8. The Simpsons writers have avoided rejiggering the canon since, but if they do, they’ll have to confront the fact that 30-something Homer and Marge are now millennials, and in a decade they’ll be members of Gen Z. You may live to see a Simpsons flashback episode about Homer and Marge living as hipsters in Brooklyn during the 2010s (truly, we live in cursed times.) But the same phenomenon exists in the world of conspiracies. Instead of a consistent, elaborate canon, what we have is a few story beats with a lot of customization and the occasional retcon. When Baxter first began posting his stories, a core part of the narrative was that Donald Trump still secretly had all the powers of the presidency and was still in command of the entire U.S. military command. Early articles promised that Trump’s apparent loss of office was only a temporary ruse, necessary to expose the worst elements of the Deep State, but that Trump’s triumphal return to power would take place by July 4, 2021. The national media might have put on a song and dance suggesting otherwise, but behind the scenes, loyal military forces were the real ones in control. This control even extended to the military helpfully house-sitting the White House and not letting Biden use it. Despite his illegitimate victory, Biden met an unwelcome surprise when he arrived at the White House on January 20. Instead of getting a ceremonial greeting, he and Kamala Harris were stopped by National Guard and U.S. Marines at the barbwire fence encircling the White House. The Marines informed them that the military had assumed control of the Executive Branch and instructed them to vacate the area. When Harris belligerently said, “Move aside, we’re president now,” the Marines locked the gate. […] To avoid shame and maintain an illusion of power, Biden’s people concocted a ruse, supported by his media allies, to deceive the American public into believing he had won a fair election and had moved into the White House on schedule. Inside Actor/Producer Tyler Perry’s 300-acre Atlanta estate sits a three-story stucco replica of the commander-in-chief’s residence, which he originally built as a set piece for a television show. […] Although the replicant White House is built to 80% scale, on television and in images it’s indistinguishable from 1600 Pennsylvania Avenue. Biden and Harris have been using the facsimile to feign leadership and impose despotic rule on the nation. Of course, July 4 came and went, with Trump’s return nowhere to be seen, so the canon simply updated: In the new narrative, the military had been conducting a year-long election fraud audit on Trump’s behalf, the results were nearly ready for public release, and Trump’s return would simply be “swift.” But no swift return has transpired, and so as the 2024 election has approached, the lore has evolved in the direction of Trump authentically running in this election and simply reclaiming power by winning it. As time has passed, more subtle changes have had to pile up. Early on, RRN reported that Joe Biden was a brain dead semi-corpse being held at Walter Reed, and any public appearances by “Biden” were one of several actors. But after four years of Let’s Go Brandon, Biden himself has become a more popular villain, and so quietly references to his brain-dead status have disappeared. In the early days of RRN, the military was firmly behind Trump and any implication that Biden held the powers of commander-in-chief was a media-fueled sham. But as time has passed, Trump being the “real” commander-in-chief over a loyal military has evolved into a reality where there are two American militaries, a “White Hat” faction loyal to Trump and “Black Hats” loyal to Biden. Early stories implied the White Hats were more numerous, but recent stories have implied the opposite, with the White Hats an elite force that often wins battles decisively while badly outnumbered. A secret purge has gradually become a secret civil war, specifically one with frequent war crimes: White Hat forces in Maui have eradicated or repelled all but a handful of the felonious FEMA agents who began terrorizing the tropical paradise in the aftermath of the inexplicable blaze that razed Lahaina and surrounding towns in early August, a source in General Eric M. Smith’s office told Real Raw News. Since mid-August, United States Marines have fought with FEMA patrols in Lahaina, Kaanapali, Wailuku, Maalaea, and Pukalani, and the skirmishes resulted in the deaths of approximately 475 federal goons and, alas, 34 valiant Marines. The Marines died upholding the Constitution of the United States; the feds died trying to defend the criminal Biden regime. […] “The Marines died valorously,” our source said. “We ain’t taking FEMA prisoners from the rank and file, only the key players. General Smith made it clear it’s weapons-free. Those bastards know damn well they’re following unlawful orders, and they’ll pay the price.” I think the ever-evolving nature of conspiracies is actually pretty important to psychologically grasping their appeal. I have a friend who is a big believer in 9/11 Trutherism. He once compelled me to watch the documentary “The New Pearl Harbor,” an exhausting 5-hour film promoting 9/11 conspiracies. If one actually watches, one quickly discovers that a lot of 9/11 conspiracy theories are mutually exclusive, or at least don’t mesh well together: One conspiracy argues that fighter jets were intentionally diverted the wrong direction to keep them from shooting down the hijacked jets approaching New York, while another conspiracy suggests that United 93 was shot down, and it was all covered up. In some versions, the planes didn’t hit the Twin Towers at all. Sometimes Bush did it, and sometimes Israel did it, and so on. Similarly, in my career I’ve worked adjacent to people who, like RRN, were very hostile to Covid-19 shots. That hostility made them sequentially endorse wildly different assertions about how the vaccines worked. Sometimes, the vaccines contain heavy metals. Sometimes, they contain hydra DNA to turn recipients into partially non-human chimeras. Sometimes, the vaccines are a depopulation agent. Sometimes, they’re a mind-control agent, or a killswitch that can be activated by self-assembling nanomachinery. One viral documentary in 2022 claimed that Covid was caused by snake venom in the water supply, and that Covid vaccines were an additional dose of snake venom to keep people sick (all this, of course, because the snake is Satan’s animal). What stands out isn’t the silliness of these particular theories, but that I saw them sequentially endorsed by the same people. Some of these people are smart enough to notice inconsistencies, at least when they’re pointed out, so why don’t they bother them? To some extent, I think it’s for the same reason people don’t care that every Batman story doesn’t perfectly line up. Consistency isn’t the point! What actually matters is enjoying individual stories and the wider genre they fit into. Covid vaccine haters don’t think too hard about any specific story. Instead, they’re driven by a core impulse of “distrust the new vaccine that people I distrust are promoting,” and every conceivably story or tale that feeds that genre of thought is, for them, worthwhile. Similarly, Real Raw News fans don’t think too hard about any specific story. Instead, I think their core impulse is, ironically, profound disappointment in how the Trump administration failed to deliver. Trump shook up the American political landscape more than anyone in living memory, and promised sweeping changes to every level of American government, yet his actual administration proved rather disorderly, changed far less than was promised, and then lost power after one term. For many, this simply prompted a revision in how they saw Trump. But for others, the preferred response is to embrace a fantasy reality where Trump is a superhero. I actually think the reverse side of this explains things like the durability of Russiagate: If you’re a normal American liberal, everything Trump says is offensive and piggish, but to justify their level of disdain for them, many needed to elevate his evil to the level of treason, even if that never really made any sense. It can't just be that Trump is an egotistical jerk or a narcissist or whatever. He's got to be a traitor who's going to end American democracy. People Crave Extreme, Over-the-Top, and Underhanded Solutions. At the height of the French Revolution’s Reign of Terror, the Committee of Public Safety pushed through the Law of 22 Prairial. The law simplified the procedures of the country’s Revolutionary Tribunal by: Defining a whole heap of activities as criminal treason, including “creating scarcity,” disparaging the National Convention, “inspiring discouragement,” and spreading fake news.
Inline links: review, “comic book time.”, in 1974, listen to “Yummy, Yummy, Yummy.”, in a Nineties grunge band, 8, take place by July 4, 2021, house-sitting the White House, “swift.”, civil war, snake venom in the water supply, Law of 22 Prairial
Making the sentence for all crimes identical: Mandatory death penalty9. As far as perfidious methods to deliberately destroy due process and engineer mass executions go, the Law of 22 Prairial is pretty much unmatched in human history. And yet: In the roughly two months of the law’s existence, about one-fifth of defendants were still acquitted! No such good fortune exists in Gitmo. The White Hats’ secret tribunal is a tribunal of blood. In three years of activity, as far as I know exactly one person has escaped conviction: Former Attorney General Jeff Sessions, freed after a direct intervention from Trump. A tiny handful of others have received decades-long prison sentences, but even they tend to meet bad ends. Bill Clinton received a life sentence, only to mysteriously die in prison, perhaps murdered by his daughter Chelsea, who wasn’t really his daughter, but nevertheless soon wound up executed herself. Not only does the rate of death sentences at Gitmo seem to exceed 90 percent, Baxter makes very little effort to portray the proceedings as fair or just. Upon arrest, instead of being read their rights, detainees are informed that they have no rights, and are instead “enemy combatants.” Yet despite being classified as “enemy combatants,” defendants are almost without exception charged with treason. The U.S. Constitution defines treason narrowly as levying war against the United States, or giving aid and comfort to its enemies, and requires at least two witnesses to the same specific act, but in Gitmo the label is invoked with a liberality that would make Robespierre blush. “Traitors” have been arrested and convicted for telling troops not to attend Trump rallies and for ruling against Donald Trump in court. Defense attorneys are denied access to evidence pre-trial, and many defendants get no lawyers at all. Trials work a lot like Phoenix Wright, in that at any point the three-officer panel10 can simply declare they’ve seen enough evidence and pronounce a conviction with death sentence immediately. In the case of former Tom Hanks co-star, this has happened within five minutes. Appeals are non-existent. The actual executions sometimes involve tormenting the condemned with fake escape attempts or pardons: The driver told Whitmer he needed to make a pitstop to grab her “exoneration paperwork.” Then Whitmer saw the clearing and the gallows and Vice Adm. Crandall. And the hangman and a Navy chaplain standing atop the gallows. “You lied to me,” Whitmer bellowed. “Minor error, not a lie,” the driver replied. […] The admiral instructed the hangman to flip the switch, and a second later, Whitmer was swinging from the rope, a guttural gurgling sound escaping her lips. She was officially pronounced dead several minutes later. “Another Covid queen out of the way,” Adm. Crandall said. During the treason trial of Hillary Clinton crucial evidence is provided by former campaign manager John Podesta, who accepts a plea deal for life in prison in return for testifying about Clinton’s child-trafficking activities. But after Clinton had safely been hanged, the military tribunal simply decided to revoke Podesta’s plea deal because, well, they felt like it. “Even though he’s not prosecuting Podesta’s case, Vice Adm. John G. Hannink made the decision to renege on the deal. He’s the one who offered it. The severity of Podesta’s crimes matched Clinton’s—a lot of stuff they did in tandem, together. When you think about it, there’s really no reason why he should get special treatment. He’s a sodomist [sic.]11. Before breaking the deal, he called Trump,” our source said. But Trump, our source noted, recused himself from the decision-making process, as he didn’t want his personal feelings of the defendant to interfere with military justice. […] “If the court wants him to hang, let him hang,” Trump reportedly said. As it happens, John Podesta was actually executed by firing squad. But hey, at least he got a trial. Sometimes, particularly evil members of the Deep State are simply beaten to death in their cells, or thrown overboard. The figure of Vladimir Putin is also a vessel for fans’ darker desires. Trump and his American allies, being properly heroic, at least take down their foes gradually. Putin’s Russians, on the other hand, live up to movie stereotypes. The Army … pulled the condemned from their cells 25 at a time, binding the criminals to logs staked in the ground and blindfolding them. They had received no trials, last meals, Last Rites, or final words. A firing squad taught them the consequences of vaccine adherence. The Army didn’t bother removing the corpses before lining up the next 25; they simply let the dead bodies flop to the ground and forced the next group to witness the ineluctable fate awaiting them, the outcome of their insouciance12. What to make of all this? Honestly, I’m not entirely sure, and the takeaway might simply be “Michael Baxter needs to mix it up to keep the site interesting.” It might also speak to the bewildering complexity of modern life and the desire for something simpler and more cinematic. As people sometimes complain, Nothing Ever Happens. But on RRN, the Happening is relentless and constant. The normal legal system is aggravatingly glacial, taking years to resolve cases and often imposing meager sentences when a case finally concludes. Most of one’s political enemies, even if they lose an election, simply lateral to a high-paying private sector job or at worst fade into obscurity. But in a real, raw legal system, evil is sniffed out with much greater alacrity; the bad people are so obvious and their crimes so glaring that they can be taken out extrajudicially with no worry about a miscarriage of justice. The apparently-complex conspiracy cinematic universes is actually appealing because it makes the world far, far simpler. The bad people are all maximally bad, deserving of hastily-dispensed maximum justice. Some of this is worrisome, too: If thousands of relatively ordinary people are willing to believe in ad-hoc military tribunals executing people with minimal due process for crimes like “ruling against Donald Trump in court,” that could be a sign that modern constitutional society is a more superficial veneer than one would hope. The World’s Laziest Conspiracy One of the most striking things about both Real Raw News and the Qanon movement it spun off from is that in some ways they are un-conspiracies. Your more traditional conspiracy, about the Rothschilds or the World Economic Forum or the Lizard People, tells you that normal political engagement is pointless, as all that really matters is confronting and defeating the hidden forces manipulating or controlling events. But RRN is a conspiracy theory that calls for total inaction. RRN believers don’t need to raise money or write letters to the editor or join political activism groups or even vote. The only thing expected of an adherent is to “trust the plan.” They aren’t even waiting for a promised future deliverance. Deliverance is, in fact, happening right now – merely off-screen. It’s actually funny to me that the (official) press freaks out so much about Qanon, and its potential to inspire violence. Qanon and RRN tell the public that whatever has them down and depressed shouldn’t, because it’s all fake, and there are unseen heroes protecting them in the shadows. Don’t worry, just have faith and know things will work out. Real Raw News is the opiate of the digital masses. Real Raw News is the exact sort of conspiracy theory that the Deep State, if it exists, should want to exist and be popular. It’s the sort of conspiracy that the Deep State, if it exists, might deliberately invent. Do I think that’s what happened here? Not at all – Real Raw News is way too much work for a government employee. Trump Will Never Die But what about five years from now? What if there were some technological change that would make it far, far easier to produce evidence of a sweeping conspiracy theory? That’s right, this review is actually about AI13. The rise of realistic artificial intelligence has created a lot of fretting about deepfakes, and it’s also created a lot of fretting about porn. Will young men really bother with the pain and difficulty and awkwardness of dating in real life, when they can just create a custom AI girlfriend to their exact specifications, then simulate sex with her using virtual reality? Will women bother with seeking out a boyfriend if they can use an LLM to give them perfect 24/7 empathy and emotional validation? Questions of sex and relationships are converging on Robert Nozick’s experience machine – will people still seek the real thing if artificial substitutes are increasingly realistic as alternatives? But for some reason, nobody is asking this about the news. Oh, sure, people have fretted that a deepfake video might smear a person’s reputation or swing an election. But as the AI revolution continues, a lot more becomes possible. Remember in 2022, when a homeless guy broke into Nancy Pelosi’s home and attacked her husband with a hammer? For a while, conspiracies flourished that Paul Pelosi was actually having some kind of erotic tryst with his attacker, and that police body camera footage might confirm this. The footage came out and, of course, offered no evidence of this. But now imagine a world where, on Twitter, an anonymous source claims that they have the real body camera footage, and it does show that Paul Pelosi was having a lovers’ quarrel with his attacker. The other, mundane footage is a deepfake, released by police to cover things up, or invented from scratch by the press or the Democratic Party or both working together. In this world, how many people end up believing fabricated proof of Paul Pelosi’s gay lover? And before you dismiss this as all totally ridiculous, remember that lots of people believed this story with no evidence at all. Many thousands of people have deluded themselves into thinking that Real Raw News is true simply because they badly want it to be true. It indulges their personal political beliefs, affirms the just-world fallacy, and lets them feel as though they possess “secret” knowledge of the world, simply by reading a blog nobody else takes seriously. But in a sense, all of us have a little of the Real Raw News believer in us. We’re prone to confirmation bias – we like reading stories and studies that confirm our pre-held beliefs, and we’re more likely to avoid or ignore those that don’t. Sometimes, we get too excited and fall for stories that are misleading, or out of context, or dishonestly presented. Sometimes, we have radically different interpretations of the same event caught on camera. Even if we know the world isn’t fair, we relish stories that let us pretend otherwise. So…how are those biases going to work when anyone can quickly create hyper-realistic looking “proof” for any story? Already, AI-fabricated images and videos are enough to bamboozle your mom on Facebook. Soon, they might be realistic enough to fool everybody without special training, and eventually they might be so realistic they can fool just about anyone. Right now, Real Raw News is a simplistic WordPress site that uses stock photos for its imagery. But with us approaching a future where intelligence itself is too cheap to meter, we may not be far from a world where every story, however preposterous, can have a convincing 4k video of it happening. Donald Trump can be president forever, with all the evidence one could ever want. Every day of Hillary Clinton’s military tribunal will have a full day of court footage, plus a condensed highlight reel for the people who want to skip boring legal procedure. Every Marine/FEMA battle in Maui will have authentic-looking combat footage. Every Gitmo execution will be proven through “leaked” bootleg recordings of gallows and firing squads. Imagine you are an ordinary, mildly engaged American citizen. You live far from the halls of power, you work an ordinary job, and whatever your feelings on political issues, you rarely see elections translate in a clear way to your own daily life. You might be interested in Washington, but Washington really isn’t that interested in you. Online, the world throws a million potential narratives at you. In some of them, the world is a confusing mess of moral gray areas. In others, the people you care about are winning. But in some narratives, you’re the hero, the people you like do good things, and the bad guys get what they deserve. The superficial evidence for all of these narratives is about equally convincing, at a glance. Look outside, and it’s hard to see the impact of any of the stories. Your entire understanding of reality is mediated through what sites you choose to read and what videos you choose to watch. As a politically marginal person, it won’t matter what you as an individual choose to believe. So, what happens if you choose to believe the story you find most enjoyable? And what if millions of others choose the same? 1 “Wait a minute, this is about a fake news website? Why is it in this contest?” Excellent question! To that, I offer several answers: A collection of fake news blog posts may as well be considered a long-running series of short stories, and I hope that we’d be allowed to review the collected short stories of an author even if they were never technically compiled into a book.
I’m skeptical of this argument. America’s been at peace since World War II (foreign adventures like Vietnam haven’t substantially changed our national experience) and produced the computing revolution, the Internet, AI, the moon landing, the Human Genome Project, antiretrovirals, the microwave, the laser, the smartphone, and the reusable rocket. During that time, Iraq has had approximately eight major wars and didn’t even get a cuckoo clock out of it.
Is this an unfair comparison, since America has 8x Iraq’s population? No more so than Welles’ is (Italy has 8x the population of Switzerland). But beyond the specifics, I think it’s useful for shocking us into Near Mode. War isn’t actually that great for science, art, or the economy. I’m not expecting Russia or Ukraine to leapfrog the rest of the world any time soon. I’m expecting them to fall further and further behind until the war ends, at which point maybe they’ll get a chance to catch up.
This isn’t to say there’s no advantage of conflict. Capitalism is a kind of conflict and was responsible for many (though not all) of the inventions mentioned above (but do remember that Bell Labs was famously productive precisely because it was a monopoly). The Cold War also inspired both the US and Russia to do some good work (as well as inspiring both to waste trillions of dollars on useless one-upsmanship and arms races). There’s some evidence that the most heavily-bombed areas of Britain and Japan are richer today (because they were able to build back from first principles instead of being limited by existing infrastructure). But this is a pretty far cry from saying that war is generally good.
5: Why is Israel one of the only developed countries with above-replacement fertility rate? It’s natural to suspect some role for its ultra-Orthodox Jewish population, who live traditional lifestyles with large (5-10 children) families. But they’re not numerous enough to shift fertility all by themselves, and even secular Israelis have anomalously high fertility. Maybe the presence of the ultra-Orthodox shifts broader cultural norms? But then why don’t isolated high-fertility groups elsewhere (eg Amish and Mormons in the US) produce the same phenomenon? The “Nonzionism” blog gives the first really satisfying explanation I’ve seen: Israel has a uniquely continuous cultural gradient between their high-fertility subpopulation and everyone else (ie from ultra-Orthodox, to moderately-religious, to slightly-religious, to secular) with most stages having positive feelings about the stage above them (eg the moderately-religious respect the ultra-Orthodox for their piety). This lets ultra-Orthodox lifestyles percolate through and influence the general population in a way that eg Amish lifestyles don’t influence the average American.
9: The princess of Norway recently married an American “self-styled shaman” whose Wikipedia page makes him sound like a real catch:
Inline links: recently married, whose Wikipedia page
Durek Verrett is an American conspiracy theorist, convicted felon, alternative therapist, and self-professed shaman as a practitioner of Neoshamanism. He has been widely described by media and other observers as a conman and conspiracy theorist, and has served time in prison and been arrested and charged with various crimes . . . He asserts that casual sex attracts subterranean spirits that make an impression on the inside of women's vaginas and offers exercises to "clean out" said vaginas; he writes that children get cancer because they want it; and suggests that chemotherapy does not work and is given to cancer patients only because doctors make money from it. He promotes the Reptilian conspiracy theory, and has said that he considers himself to be a reptilian.
The British never shared Dean’s identity with the USA, and tried to provide as little revealing detail as possible, but apparently the Americans still figured it out after a while. Then some unknown insider talked to a journalist, who wrote a book, The One Percent Doctrine, containing all sorts of information on the informant, and then Time ran a frontpage article based on the book that revealed some things about Dean, including his real first name. We have all since learned that journalists are strangely committed to sharing people’s real names, but I wouldn’t have expected it to extend to literal spies inside al-Qaeda. Fortunately, Dean was in Europe when it happened, but his comrades soon figured out based on the news that he was the spy, and he could never return to his job, thus ending his seven years as an important informant.
This might have worked, except suddenly all the terrorists involved, including Dean, got arrested by the Bahraini police. Turns out, the British needed to inform the Americans about the existence of the plot, but didn’t share details on how they planned to keep it under control, so as not to reveal Dean’s identity (see the previous point). Dick Cheney, quite understandably, panicked, and personally called up the King of Bahrain to arrest the people involved. After that, the British needed to go to considerable lengths to release Dean in a way that even found its way to the press. I’m a little surprised that the jihadists didn’t realize at that point that he was a spy, but the British had a reasonable cover story this time, so it all worked out okay. Except for the part where they squandered the opportunity to track down Osama bin Laden.
Born in 1978, he was 16 when he left the comfort of his Saudi home, learned to fire a mortar, and fought in the battles of the Bosnian War. He and two friends ran a million dollar fraudulent charity to smuggle supplies to the Chechens when he was 18. He was 19 when he swore an oath of allegiance in front of Osama bin Laden, and started making chemical weapons. He was 20 when he got disillusioned with al-Qaeda, left, got caught by the Qatari secret police and became a British informant. He was 24 when he unraveled a plot to release poison gas in the New York subway. And by the time he was 28, due to an embarrassingly stupid leak from the American intelligence agencies, his spying career was over and he was a man in hiding.
But the Christian cultural package also fell apart and became the current post-Christian world. This wasn't just a one-time coincidence either. Protestantism gave way to modernism in Scandinavia, Germany, and the US. Catholicism gave way to modernism in Spain, Italy, and Latin America. Orthodoxy gave way to modernism in Greece, Eastern Europe, and Russia (with a slight Putinist resurrection-in-name-only which hardly seems to have produced a flourishing liberal society). Meanwhile in China, the local mix of Buddhism/Confucianism/Taoism gave way to modernism. In South East Asia, Buddhism gave way to modernism. Only 10% of Israeli Jews are ultra-Orthodox, and it would be lower if they didn't breed so fast. India is moderately Hindu but still noticeably modern. Even the Middle East is gradually becoming less Muslim.
Imagine taking a time machine to the year 2300 AD, and everyone is Scientologist. The United States is >99% Scientologist. So is Latin America and most of Europe. The Middle East follows some heretical pseudo-Scientology that thinks L Ron Hubbard was a great prophet, but maybe not the greatest prophet.
Of inscriptions on the Jewish catacombs in Rome, 76% are in Greek, 22% in Latin, and only 2% in Hebrew or Aramaic. Reform Judaism is unstable. The Law of Moses is central to the Jewish faith; relax it too much, and believers can justly wonder what’s left. In America, Reform Jews are over-represented not only among atheists and agnostics, but among every cult under the sun. 33% of American Buddhists come from a Jewish background, and even the Moonies were 30% Jewish at one point! (they’re now down to 6%) As the Jews were assimilating into Greeks, some Greeks were assimilating into Judaism. They were impressed enough with monotheism and the Jews’ upright behavior to adopt some of the rituals, but they couldn’t take the final step and circumcise themselves. Instead, they hung around the fringes of Jewish society, admiring it from without. The Bible and the historical record call them “God-fearers”, but by analogy I can’t help but think of them as “weajoos”. These weajoos would have been easy prey for the first semi-Jewish sect to shed the circumcision requirement and explicitly pivot away from being an ethnic religion. The Apostles and other early Christians, leaving Palestine to minister to the wider world, would have made use of existing Jewish networks and connections. They would have found themselves in the middle of the spiritually-disaffected, half-assimilated pseudo-Reform Jewish communities of the Roman world, plus their half-assimilated-the-other direction Greek hangers-on. They would have preached that Judaism was basically true, but that you can drop the restrictive Law of Moses and avoid getting circumcised. They would have sliced through the cultural angst of these in-between communities, saying that Jews could join together with Gentiles in a big friendly tent under the leadership of the God of Abraham, Isaac, and Jacob. Here, says Stark, were the early Christians’ first few million converts. Because, I Regret To Inform You, The Pronatalists Are Right About Everything We found above that the Christian population needed to grow at 40% per decade, and assumed this meant conversion. But you could also do this through a fertility advantage. If a generation lasts thirty years, and Christians have 3x more children than pagans per generation, they can get 40%/decade growth without converting anyone at all. In reality, it was probably a mix: some conversion plus some fertility advantage. Here I start to worry that some right-wing pronatalist organization bribed Rodney Stark to abandon his usual scholarly attitude and write some kind of over-the-top pronatalist fanfic. I was waiting for the part where the eagle named MORE BIRTHS perches on the blackboard and the childfree professor was tossed into the lake of fire for all eternity. Still, let’s take it at face value and see what the fanfic has to say. By the Imperial era, Roman fertility was plummeting. Partly this was because the Romans practiced sex-selective infanticide, there were 130 men for every 100 women, and so many men would never be able to find a wife. But partly this was because the men who could find wives dragged their feet. (Male) Roman culture took it as a given that women were terrible, that you couldn’t possibly enjoy interacting with them, and that there was no reason besides duty that you would ever marry one. In 131 BC, the Roman censor Quintus Caecilius Metellus Macedonicus2 proposed that that the senate make marriage compulsory because so many men, especially in the upper classes, preferred to stay single. Acknowledging that “we cannot have a really harmonious life with our wives”, the censor pointed out that "since “we cannot have any sort of life without them,” the long term welfare of the state must be served”… As Beryl Rawsom has reported, “one theme that recurs in Latin literature is that wives are difficult and therefore men do not care much for marriage.” The Romans understood that this was long-term fatal for their empire, and tried all sorts of schemes to increase family formation. In the mid-first-century BC, Cicero re-proposed Metellus’ scheme to make marriage compulsory, but it failed once again. Augustus contented himself with punitive taxes and second-class citizenship for unmarried and childless couples, combined with subsidies and affirmative action for men with at least three children. Formal and informal social pressure eventually convinced most Roman men to take wives, but no amount of love or money could make them have children. Dense cities discouraged large families, Roman children were expensive (nobles would have to spend immense effort and political favors grooming them for high positions), and (the scourge of all nobilities) too many children risked splitting the inheritance. Also, if you had a girl you’d probably just kill her (she would consume resources without continuing the family line), and half of children died before adulthood from some disease or another anyway. It was just a really bad value proposition. Nor did the sex drive force the matter. Horny Roman men had their choice of a wide variety of male and female slaves and prostitutes - despite Augustus and his spiritual heirs’ fuming about monogamy, this was never really enforced on the male half of the population. When men did have sex with women, it was usually oral or anal sex, specifically to avoid procreation. When they did have vaginal sex, they had a wide variety of birth control methods available, including the famous silphium but also proto-condoms and spermicidal ointments. If a child was conceived despite these efforts, abortion was common albeit unsanitary (maternal death rates were extremely high, but this was not really a deal-breaker for the Roman men making the decision). If a baby was born in spite of all this, infanticide was legal and extremely common: Far more babies were born than were allowed to live. Seneca regarded the drowning of children at birth as both reasonable and commonplace. Tacitus charged that the Jewish teaching that it is “a deadly sin to kill an unwanted child” was but another of their “sinister and revolting practices” . . . not only was the exposure of infants a common practice, it was justified by law and advocated by philosophers.” Christians followed the opposite of all these practices. They recommended that men love their wives, and held this as a plausible and expected outcome. This was not exactly unprecedented, but it was a dramatic reversal of Roman custom. From Ephesians 5: Husbands, love your wives, just as Christ loved the church and gave himself up for her to make her holy, cleansing her by the washing with water through the word, and to present her to himself as a radiant church, without stain or wrinkle or any other blemish, but holy and blameless. In this same way, husbands ought to love their wives as their own bodies. He who loves his wife loves himself. After all, no one ever hated their own body, but they feed and care for their body, just as Christ does the church — for we are members of his body. “For this reason a man will leave his father and mother and be united to his wife, and the two will become one flesh.” This is a profound mystery — but I am talking about Christ and the church. However, each one of you also must love his wife as he loves himself, and the wife must respect her husband. The Christians banned adultery (and, unlike the Roman bans, gave it teeth), meaning that married men who wanted sex had no choice but to go to their wives. They held that sex had to be procreative, banning anal sex, oral sex, homosexual sex, and birth control. And obviously they banned infanticide (many of these bans weren’t active decisions, but carry-overs from the movement’s Jewish roots). Also, I regret to say I fell for the liberal meme that Republicans tricked Christians into being anti-abortion in 1960, and previous generations of Christian had thought abortion was fine. This is absolutely not true. The Didache, the first Christian text outside the New Testament itself, probably dating from about 90 AD, says that “Thou shalt not murder a child by abortion nor kill them when born”. The second-century church father Athenagoras wrote: We say that women who use drugs to bring on an abortion commit murder, and will have to give an account to God for the abortion . . . for we regard the very foetus in the womb as a created being, and therefore an object of God’s care . . . and [we do not] expose an infant, because those who expose them are chargeable with child-murder. The end result is that while pagans delayed marriage, cheated, had nonprocreative sex, used birth control, performed abortions, and committed infanticide, Christians did none of these things. This section gave me a new appreciation for conservative Christian purity culture: it was obviously suited for the environment in which it evolved, and it’s also obvious why its founders would etch it so deeply into its memetic DNA that it’s still going strong millennia later. But I’ll end this section with a note of caution - I’m not sure how relevant any of this is. Stark refuses to speculate on pagan vs. Christian fertility rates, but when I look up modern scholarship, they reasonably point out that pagan rates must have been around “replacement”, given that the Roman population stayed steady (or slowly increased) for hundreds of years. “Replacement” is in quotes because Romans were constantly dying of plague, warfare, fire, and a million other causes; since only a third to half of people survived to reproduce, “replacement” here is something like 4-6 children per women. This doesn’t sound like the antinatalist disaster Stark describes! I think Stark is mostly talking about Roman elites - the group who Augustus kept pestering to have at least three children - and more broadly about the urban population. These people were constantly dying and being replaced by commoners and villagers. Early Christianity was primarily an urban and upper-class movement (does this surprise you? Stark urges us to think of modern cults and new religions, like American Buddhism, which predominantly recruit disillusioned children of the upper classes). So perhaps it did better than its urban upper-class pagan comparison group. Still, since the urban upper-class pagans were constantly being replaced by village lower-class pagans as soon as they died out, how much, in numerical terms, can this contribute to Christianity’s growth? A possible synthesis: if you imagine a city as having a constant population (because it’s walled, plus its hinterland can only support a certain number of non-food-producing urbanites), and villagers as replacing urbanites on a one-to-one basis as they die, then greater Christian urban fertility rates can at least contribute to the cities and upper classes becoming Christian. And once the cities and upper classes are Christian, you get Constantine, and the lower classes can be forced to comply. Remember, “pagan” originally meant “rural”! Because Where Women Go, Men Will Follow One thing Stark did not mention discovering in his study of cults, but which I have heard anecdotally - a lot of male cult members join because the cult has hot girls. This seems to have been a big factor in the spread of early Christianity as well. Stark collects various forms of evidence that early Christians were predominantly women. Paul’s Epistle to the Romans greets thirty-three prominent Christians by name, of whom 15 were men and 18 women; if (as seems likely) men were more likely to become prominent than women, this near-equality at the upper ranks suggests a female predominance at the lower. A third-century inventory of property at a Christian church includes “sixteen men’s tunics and eighty-two women’s tunics”. The book quotes historian Adolf von Harnack, who says: [Ancient sources] simply swarm with tales of how women of all ranks were converted in Rome and in the provinces; although the details of these stories are untrustworthy, they express correctly enough the general truth that Christianity was laid hold of by women in particular, and also that the percentage of Christian women, especially among the upper classes, was larger than that of men. Why were women converted in such disproportionate numbers? Again, Stark’s sociological background serves him well: he is able to find reports of the same phenomenon in modern religions: By examining manuscript census returns for the latter half of the nineteenth century, Bainbridge (1983) found that approximately two-third of the Shakers were female. Data on religious movements included in the 1926 census of religious bodies show that 75% of Christian Scientists were women, as were more than 60% of Theosophists, Swedenborgians, and Spiritualists. The same is true of the immense wave of Protestant conversions taking place in Latin America. But along with a general tendency for women to convert, Stark notes that Christianity was especially attractive to women. The pagan world treated women as their husbands’ property, and not particularly well-liked property at that. The book cites the Athenian laws as typical: The status of Athenian women was very low. Girls received little or no education. Typically, Athenian females were married at puberty and often before. Under Athenian law, a woman was classified as a child, regardless of age, and therefore was the legal property of some man at all stages of her life. Males could divorce by simply ordering a wife out of the household. Moreover, if a woman was seduced or raped, her husband was legally compelled to divorce her. If a woman wanted a divorce, she had to have her father or some other man bring her case before a judge. Finally, Athenian women could own property, but control of the property was always vested in the male to whom she “belonged”. Meanwhile, Christian woman had relatively high status, sometimes rising to the position of deacon within a church. Christian men were ordered to treat their wives kindly, were prohibited from cheating on them, and mostly could not divorce. Christianity, unlike paganism, did not especially pressure widows to remarry (important since a remarrying widow lost all her property to her new husband). Christian women were only a third as likely as Roman women to be married off before age 13. Women noticed all these benefits and flocked to Christianity. Aside from all of this, the Romans were practicing sex-selective infanticide, reducing their female numbers still further, and making the Christians even more proportionally female-heavy. If the Christians, like many modern cults, were 65% female, and the Romans (as some sources attest) were about 40 - 45% female, this is a pretty profound difference. The Romans grumbled about marriage, but in the end most Roman men did want wives (if only to avoid government penalties). But 1.4 men per women - maybe even less among the upper classes - puts young men seeking wives in a difficult situation (for comparison, modern San Francisco is only 1.05 men per women, and dating is already hell). To any remotely heterosexual Roman men, the 65% female Christian community must have started looking pretty good. Meanwhile, the Christians had the opposite problem: too many women, not enough men. There’s an obvious solution, and it sounds like the pagans and Christians had also figured it out: From 1 Peter 3: Wives ... submit yourselves to your own husbands so that, if any of them do not believe the Word, they may be won over without words by the behavior of their wives, when they see the purity and reverence of your lives. History records many such intermarriages, almost always ending with the conversion of the pagan husband. If you are a Christian of English descent, you may owe your religion to Queen Bertha of Kent, who convinced her husband, one of the early Anglo-Saxon kings, to take her faith. But Ruxandro Teslo has a great post reviewing the work of historian Michele Salzman, who disagrees with all of this. Salzman has a database of 400 aristocratic Romans during the 4th century period of Christianity’s fastest growth. She finds few intermarriages, few examples of women converting their husbands, and equal (or slightly male-biased) conversion ratios. Granted, this is only a small sample from one period. But it makes us question how good our evidence really is. Doesn’t all this hinge on one passage from Paul which, technically, named more men than women, plus one inventory of tunics which was so female-biased that it couldn’t possibly have been representative of even a very woman-heavy church? Are we sure that we can make the leap from “Christianity promised women more rights” to “Therefore, women flocked to Christianity?” Wasn’t that the same argument that pundits used last week to predict a blue wave for Kamala? Didn’t white women actually go for Trump, 53-46? Salzman has one more concern, which is that women had so few rights in ancient Roman society that it’s hard to see how they could have converted at all. When unmarried, they were under the care of their father, who would hardly have let them go out visiting churches full of strange men. When married, they were under the care of their husband, who likewise. A typical Roman man wouldn’t have cared about his wife’s religious opinions, which is maybe why so many of our stories about intermarriages and conversions come from later periods like the Anglo-Saxons. I don’t know enough about history to referee this dispute, except that say that I think the answer could easily have been different for each of early Romans, late Romans, Hellenized-Jewish-Romans, pagan Romans, upper-class Romans, and lower-class Romans, plus all combinations thereof. Because Of The Testimony Of The Martyrs The martyrs are one of the most dramatic parts of the early Christian story. Men and women would endure seemingly-unbearable tortures, continuing to praise God the whole time, sometimes in spite of Roman officials who promised to let them go free if they would just make the tiniest concession to praising Jupiter. These martyrdoms impressed their contemporaries as much as they impress us, and were a major factor driving pagans to Christianity. The Christian Martyrs’ Last Prayer, by Jean-Leon Gerome (maybe slight nominative determinism?) Stark is writing in the 1990s, and martyrology c. 1995 does not exactly cover itself in glory. At the time of writing, the most popular theory among scholars (claims Stark) was that the martyrs were masochists. He considers this dumb and offensive theory a natural consequence of historians being reluctant to accept anything that sounds too miraculous or amazing, and there being few other hard-headed rational explanations of the martyrs’ behavior (for some reason, the obvious one - that they believed in God and Heaven - impresses neither Stark’s foils nor himself). He sets out to build an alternative theory: the martyrs were rationally seeking the approval of their community. Martyrdom not only occurred in public, often before a large audience, but it was often the culmination of a long period of preparation during which those faced with martyrdom were the object of intense, face-to-face adulation. Consider the case of Ignatius of Antioch … Ignatius was condemned to death as a Christian. But instead of being executed in Antioch, he was sent off to Rome in the custody of ten Roman soldiers. Thus began a long, leisurely journey during which local Christians came out to meet him all along the route, which passed through many of the more important sites of early Christianity in Asia Minor on its way to the West. At each stop Ignatius was allowed to preach to and meet with those who gathered, none of whom was in any apparent danger although their Christian identity was obvious. Moreover, his guards allowed Ignatius to write letters to many Christian congregations in cities bypassed along the way, such as Ephesus and Philadelphia … As William Schoedel remarked, “It is no doubt as a conquering hero that Ignatius thinks of himself as he looks back on part of his journey and says that the churches who received him dealt with him not as a ‘transient traveller,’ noting that ‘even churches that do not lie on my way according to the flesh went before me city by city.’” What Ignatius feared was not death in the arena, but that well-meaning Christians might gain him a pardon…He expected to be remembered through the ages, and compares himself to martyrs gone before him, including Paul, “in whose footsteps I wish to be found when I come to meet God.” It soon was clear to all Christians that extraordinary fame and honor attached to martyrdom. Nothing illustrates this better than the description of the martyrdom of Polycarp, contained in a letter sent by the church in Smyrna to the church in Philomelium. Polycarp was the bishop of Smyrna who was burned alive in about 156. After the execution his bones were retrieved by some of his followers - an act witnessed by Roman officials, who took no action against them. The letter spoke of “his sacred flesh” and described his bones as “being of more value than precious stones and more esteemed than gold.” The letter-writer reported that the Christians in Smyrna would gather at the burial place of Polycarp’s bones every year “to celebrate with great gladness and joy the birthday of his martyrdom.” The letter concluded, “The blessed Polycarp ... to whom be glory, honour, majesty, and a throne eternal, from generation to generation. Amen.” It also included the instruction: “On receiving this, send on the letter to the more distant brethren that they may glorify the Lord who makes choice of his own servants.” In fact, today we actually know the names of nearly all of the Christian martyrs because their contemporaries took pains that they should be remembered for their very great holiness. I don’t know, I’m not putting too much effort into writing up this section, because it doesn’t feel like as much of a mystery as some of the others. Maybe all of this was weird in 1996. But since then, we’ve seen plenty of suicide bombers willing to die for their faith. I accept that the Christian martyrs were more impressive - a slow death in the Colosseum takes more grit than the quick detonation of an explosive vest, and dying for peace is more impressive than dying in war - but it hardly seems like as much of a leap. Honestly, Stark’s “social approval” theory seems only slightly less objectifying than the masochism theory. Some people just have a tendency towards self-sacrifice. I know many effective altruists who, for example, deliberately let themselves be infected with malaria to help speed vaccine research. If someone told them a way that they could help the neediest people in the world by feeding themselves to lions, the lions would no doubt eat well. Because They Survived The Plagues However bad you imagine daily life in ancient Rome, it was worse. Historians estimate that ancient Rome had a population density of 300 people per acre. That’s almost ten times denser than modern New York City, two thousand years before anyone invented the skyscraper3. How did they do it? By cramming people together in unbearable filth and misery: Most people lived in tiny cubicles in multistoried tenements…”there was only one private house for every 26 blocks of apartments”. Within these tenements, the crowding was extreme - the tenants rarely had more than one room in which “entire families were herded together”. Thus, as Stambaugh tells us, privacy was “a hard thing to find”. Not only were people terribly crowded within these buildings, the streets were so narrow that if people leaned out their window they could chat with someone living across the street without having to raise their voices… To make matters worse, Greco-Roman tenements lacked both furnaces and fireplaces. Cooking was done over wood or charcoal braziers, which were also the only source of heat; since tenements lacked chimneys, the rooms were always smoky in winter. Because windows could be “closed” only by “hanging cloths or skins blown by rain”, the tenements were sufficiently drafty to prevent frequent asphyxiation. But the drafts increased the danger of rapidly spreading fires, and “dread of fire was an obsession among rich and poor alike.” Packer4 (1967) doubted that people could actually spend much time in quarters so cramped and squalid. Thus he concluded that the typical residents of Greco-Roman cities spent their lives mainly in public places and that the average “domicile must have served only as a place to sleep and store possessions.” These tenements had no plumbing. Waste was eliminated by pouring it onto the street, often to the detriment of people walking underneath. Water was brought home from public wells; if you were out, you either walked back to the well or made do. The total public baths capacity of Rome was about 30,000; the total population of Rome was about a million; in practice, the upper classes used the “public” baths and the average citizen had never bathed in their life. Soap had been invented a century or two earlier but was limited to a small pool of early adopters. The cities buzzed with flies, mosquitos, and other insects. It would be eighteen hundred years before anyone invented germ theory. Tenements were six stories high and frequently collapsed, killing everyone inside. Fires consumed the city on a regular basis, giving rise to colorful legends like Nero fiddling while Rome burnt. Police were limited, and it was understood that you would be robbed immediately if you set foot outside at nighttime. This kind of smart, walkable, mixed-use urbanism is illegal to build in most American cities. How did people survive? Mostly they didn’t. Cities were destroyed regularly - multiple times within a single human lifetime! - then rebuilt and replenished with rural population. Stark focuses on Antioch, a Syrian city which was a center of early Christianity. During “six hundred years of intermittent Roman rule”, he finds: It was conquered 11 times
Inline links: 33% of American Buddhists, 30% Jewish, 2, https://substackcdn.com/image/fetch/$s_!IMoJ!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F248a87ba-7893-48a8-bb24-f9be9f30d355_893x720.png, has a great post reviewing the work of historian Michele Salzman, https://substackcdn.com/image/fetch/$s_!EGFm!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F81ea23c2-1c9b-4d43-8d31-2c4b74990be5_1024x597.jpeg, The Christian Martyrs’ Last Prayer, deliberately let themselves be infected with malaria to help speed vaccine research, 3, 4, https://substackcdn.com/image/fetch/$s_!WKib!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F398aa36d-4d66-44e5-b035-fa3a20e457da_1858x1696.png
This kind of smart, walkable, mixed-use urbanism is illegal to build in most American cities. How did people survive? Mostly they didn’t. Cities were destroyed regularly - multiple times within a single human lifetime! - then rebuilt and replenished with rural population. Stark focuses on Antioch, a Syrian city which was a center of early Christianity. During “six hundred years of intermittent Roman rule”, he finds: It was conquered 11 times
Then do whatever your opponent did last round. This was so boring that Axelrod sponsored a second tournament specifically for strategies that could displace TIT-FOR-TAT. When the dust cleared, TIT-FOR-TAT still won - although some strategies could beat it in head-to-head matches, they did worst against each other, and when all the points were added up TIT-FOR-TAT remained on top. In certain situations, this strategy is dominated by a slight variant, TIT-FOR-TAT-WITH-FORGIVENESS. That is, in situations where a bot can “make mistakes” (eg “my finger slipped”), two copies of TIT-FOR-TAT can get stuck in an eternal DEFECT-DEFECT equilibrium against each other; the forgiveness-enabled version will try cooperating again after a while to see if its opponent follows. Otherwise, it’s still state-of-the-art. The tournament became famous because - well, you can see how you can sort of round it off to morality. In a wide world of people trying every sort of con, the winning strategy is to be nice to people who help you out and punish people who hurt you. But in some situations, it’s also worth forgiving someone who harmed you once to see if they’ve become a better person. I find the occasional claims to have successfully grounded morality in self-interest to be facile, but you can at least see where they’re coming from here. And pragmatically, this is good, common-sense advice. For example, compare it to one of the losers in Axelrod’s tournament. COOPERATE-BOT always cooperates. A world full of COOPERATE-BOTS would be near-utopian. But add a single instance of its evil twin, DEFECT-BOT, and it folds immediately. A smart human player, too, will easily defeat COOPERATE-BOT: the human will start by testing its boundaries, find that it has none, and play DEFECT thereafter (whereas a human playing against TIT-FOR-TAT would soon learn not to mess with it). Again, all of this seems natural and common-sensical. Infinitely-trusting people, who will always be nice to everyone no matter what, are easily exploited by the first sociopath to come around. You don’t want to be a sociopath yourself, but prudence dictates being less-than-infinitely nice, and reserving your good nature for people who deserve it. Reality is more complicated than a game theory tournament. In Iterated Prisoners’ Dilemma, everyone can either benefit you or harm you an equal amount. In the real world, we have edge cases like poor people, who haven’t done anything evil but may not be able to reciprocate your generosity. Does TIT-FOR-TAT help the poor? Stand up for the downtrodden? Care for the sick? Domain error; the question never comes up. Still, even if you can’t solve every moral problem, it’s at least suggestive that, in those domains where the question comes up, you should be TIT-FOR-TAT and not COOPERATE-BOT. This is why I’m so fascinated by the early Christians. They played the doomed COOPERATE-BOT strategy and took over the world. II. Matthew 5: You have heard that it was said, ‘Love your neighbor and hate your enemy.’ But I tell you, love your enemies and pray for those who persecute you . . . If you love those who love you, what reward will you get? Are not even the tax collectors doing that? And if you greet only your own people, what are you doing more than others? Do not even pagans do that? Talk is cheap, but The Rise Of Christianity suggests the early Christians pulled it off. For example, even though pagan institutions would not help indigent Christians, Christians tried to give charity to Christian and pagan alike, even going so far as to help nurse pagans during the plague (when nursing a victim conferred a high risk of contagion and death). Even Emperor Julian, an enemy of Christianity, admitted it lived up to its own standards: When the poor happened to be neglected and overlooked by the priests, the impious Galileans observed this and devoted themselves to benevolence . . . [they] support not only their poor, but ours as well, [when] everyone can see that our people lack aid from us.” In 1 Corinthians 6, Paul is asked whether it is acceptable for one Christian to pursue a lawsuit against another Christian in a pagan court. He answers: The very fact that you have lawsuits among you means you have been completely defeated already. Why not rather be wronged? Why not rather be cheated? We get a similar picture from the stories of the martyrs. Many of them prayed for the Romans while the Romans were in the process of torturing and killing them; Polycarp even cooked them a meal. If the Christians had merely been TIT-FOR-TAT, it would be easy to tell a story of their victory. The Roman Empire was corrupt and decadent to the core. People were looking for a community they could trust. Christianity offered access to a better class of friends who wouldn’t immediately rob or betray you when your guard was down. By providing a superior alternative to the low-trust pagan world, it was irresistible on a purely rational economic basis. But this story sounds more worthy of the mystery cults. Mystery cults are a great structure for mutual aid; we see this today in groups like the Freemasons (cf. Backscratcher Clubs). Everybody knows who’s on the inside (and needs to be mutually aided) and who’s on the outside (and can be ignored). The initiatory structure holds off freeloaders and makes sure the people on the inside are of approximately equal rank (so that you get as many benefits as you give) and can be held accountable if they don’t contribute. Since Christianity did better than the mystery cults, there must have been some reason that COOPERATE-BOT beat TIT-FOR-TAT in the particular environment of Roman religion, defying all normal game theoretic logic. III. Is this a consistent feature of COOPERATE-BOT strategies, or was it just luck? This is hard to say, because in all normal cases it’s impossible to follow a COOPERATE-BOT strategy at scale and for any period of time. Consider the Quakers, who gave it a better try than most. They were persecuted by the British and fled to America (is this kosher? it sort of seems like resisting evil). There they founded the colony of Pennsylvania, intended to be a utopia of pacifism and benevolence. They were very serious about this; history records many Quakers who were arrested or even killed rather than compromise their principles, and the British Crown seized Pennsylvania from the Quakers a few times because they wouldn’t make extremely cheap gestures like pay taxes or swear oaths. But in the end, the Crown frog-boiled the Quakers into compliance. They promised to return self-government if the Quakers would budge an inch - in one compromise, if they agreed to pay taxes that could go to non-combat functions of the military. The Quakers eventually agreed, and the British ratcheted up their demands the next time. Finally, in 1755, some Indians launched a major assault on Pennsylvania, and all the Quakers voluntarily resigned from government to let the non-Quaker Pennsylvanians (who by this time outnumbered them) conduct the war without restraint. The Quakers performed better than most COOPERATE-BOTs. They stuck to their principles most of the time, and in the end their religion survived. But look deeper, and you see a gradual process of surrender to reality. First was the flight to America, an implicit admission that living was better than being martyred for the faith. Then came the various compromises; an implicit admission that getting to keep self-government while being 99% pure was better than being subjects while 100% pure. Finally, they gave up Pennsylvania itself rather than be wiped out, again choosing the practical option over martyrdom. My point isn’t to knock the Quakers, who may come in a close 2nd in “historical groups that stuck to their cooperative principles despite all odds” and were certainly more ethical than I am. My point is that even very committed groups of religious fanatics fail the non-violent COOPERATE-BOT strategy eventually. Or maybe the ones who didn’t fail were wiped out? I hear good things about the Cathars, but we can’t know for sure because they were very thoroughly killed off - unrepentant to the last. Are there any other groups who deserve mention in this section besides early Christians, Quakers, and Cathars? I think some German and Russian sects have tried similar strategies, though they mostly failed and I don’t know much about them. Not exactly the same, but maybe rhyming: what about modern liberalism? To the monarchs and dictators of the past, free speech might seem kind of like COOPERATE-BOT in a limited domain: the idea that elites shouldn’t make any forceful/legal effort to protect their ideological and spiritual position must sound almost as crazy as them not making any forceful/legal effort to protect themselves if attacked, or to prevent themselves from getting cheated. It is, in some sense, a unilateral surrender in the war of ideas; fascists and communists will do their best to crush liberalism, but liberals cannot ban discussion of fascism or communism. The fact that this, too, has worked, makes me think early Christianity wasn’t just a one-off, but suggests some larger point. IV. Still, I don’t really know what it is. Here are some weak theories: Advertisement: Being kind to outsiders is good PR and encourages those outsiders to join you. This effect is stronger than the corresponding disincentive (that they won’t get much better treatment than they’re getting already, and they will have to be nice to other outsiders in their turn).
How does a longer prison term, as opposed to a shorter prison term, change one’s chance of being re-arrested? Unfortunately, these will be the most difficult and controversial questions we’ve encountered thus far. Even worse, we can’t escape answering them. If aftereffects are beneficial or neutral, then the beneficial effects of incapacitation win out, and prison is net good for preventing crime. Only if aftereffects are detrimental, and their magnitude is great enough to cancel out the benefits of incapacitation, can prison be net neutral or net negative for crime. As far as I can tell, most criminologists are confused on this point. They’re going to claim that the sign of aftereffects is around zero, or hard to measure - then triumphantly announce that they’ve proven prison doesn’t prevent crime. The only pro-shorter-sentences researcher who is actually thinking clearly about this is Roodman. He will argue that aftereffects are harmful, and that the best studies suggest their magnitude is around the same as the benefits of incapacitation - so that they more or less cancel out. His argument is logically valid, which tragically forces us to actually look at the evidence and see if he’s right. Question 1: How Does Any Prison Term At All Change The Chance Of Being Rearrested? The largest and most recent meta-analysis of this question is Petrich (2021). They analyze 116 studies and take a strong stand, saying: Beginning in the 1970s, the United States began an experiment in mass imprisonment. Supporters argued that harsh punishments such as imprisonment reduce crime by deterring inmates from reoffending. Skeptics argued that imprisonment may have a criminogenic effect. The skeptics were right. Previous narrative reviews and meta-analyses concluded that the overall effect of imprisonment is null. Based on a much larger meta-analysis of 116 studies, the current analysis shows that custodial sanctions have no effect on reoffending or slightly increase it when compared with the effects of noncustodial sanctions such as probation. This finding is robust regardless of variations in methodological rigor, types of sanctions examined, and sociodemographic characteristics of samples. All sophisticated assessments of the research have independently reached the same conclusion. The null effect of custodial compared with noncustodial sanctions is considered a “criminological fact.” Incarceration cannot be justified on the grounds it affords public safety by decreasing recidivism. Prisons are unlikely to reduce reoffending unless they can be transformed into people-changing institutions on the basis of available evidence on what works organizationally to reform offenders. Again, Petrich seems to think that, having proven aftereffects “have no effect on reoffending or slightly increase it”, he’s triumphantly proven prison doesn’t work. But in order to really prove that, he’d have to demonstrate that aftereffects’ tendency to “slightly increase” reoffending is large enough to neutralize prison’s positive incapacitative effects. So let’s look further at the effect size. The effect size statistic here is r, representing the correlation coefficient between a dummy variable where noncustodial sanctions are 0 and custodial sanctions are 1, and likelihood of reoffending. But later they give a better explanation, saying that: A mean correlation of approximately .080 translates into an 8 percentage point difference in reoffending between those sentenced to custodial and noncustodial sanctions (Bonta and Andrews 2017; see also Randolph and Edmondson 2005). Thus, assuming that 46 percent of the comparison (noncustodial) group reoffended, the percent reoffending in the custodial sanction group would be 54 percent. How do we translate this into number of crimes? They don’t tell us, but here’s my extremely sketchy hand-wavey suggestion: let’s imagine this is recidivism rate over one year. We know that 43% of prisoners usually reoffend during this time, so if we believe these data, 35% of similar offenders who got noncustodial sanctions would. That means they offend about 20% less. Although we absolutely cannot do this and we’re assuming all sorts of completely false things about how distributions work, let’s imagine this means the average person in this category commits 20% fewer crimes. That would mean that, if prisoners commit 10 crimes/year after release, the same people, given a noncustodial sentence, would commit 8 crimes/year. In order to neutralize the effect of one year imprisonment (-10 crimes), the negative effects of incarceration (+2 crimes/year) would have to continue for five years. But they probably won’t, because we know that most of these people get rearrested sooner than that anyway. So I think that at this level, it’s hard to conclude that aftereffects cause more crime than incapacitation prevents. What does Roodman - whose argument hinges on the claim that they do - say about this? He doesn’t separate out the custodial/noncustodial question from the sentence length question, so we’ll look at his arguments more in the next few sections. Question 2: How Do Long Vs. Short Prison Terms Change The Chance Of Being Rearrested? We’ll follow our usual pattern of looking at one study in depth and then racing through the others. Our deep study will be the National Sentencing Commission’s report on Length Of Incarceration And Recidivism, because it’s the most official-sounding. They examine 32,125 offenders and compare them to “matched control” offenders who got different sentence lengths to see which group reoffends more often. Here are their results (numbers represent how much more likely the group with longer sentences was to reoffend): So we see that among prisoners with short sentences, longer sentences don’t significantly increase or decrease recidivism. If we’re willing to look at nonsignificant results, then in the shortest-sentence group (<3 years), increasing the sentence increases recidivism, zeroing out by about 5 years, and then as sentences get increasingly longer than five years, longer sentences = less recidivism. I think this actually makes sense. A very short prison sentence (eg one day) doesn’t ruin your life. As the sentence lengthens, your life gets more and more ruined, as all the tragedies we talked about earlier - job loss, career obsolescence, partner divorce, friends drifting away, etc - start to come into play. But after five years, it maxes out - your life is as ruined as it can possibly get. So after that, increasing time in prison can only have positive effects (eg making you more convinced that crime is bad and that you don’t want another super-long prison sentence). My only concern about this finding is age. All research agrees on the absolutely crucial role of the age-crime curve: People take various policy implications from this (maybe “life sentences” should end at 65, since incapacitation is unlikely to help much after that). But here we’re interested in its potential to confound studies. A 20 year old who gets 5 years in prison is released at 25 - still young! - but a 20 year old who gets 10 years in prison is released at 30 - too old to be leaping on rooftops and running from cops. The National Sentencing Commission understands this problem, and matches the experimental and control groups by age at release. But this introduces a new bias - now they’re different ages when they start committing crimes. Might a person who starts crime at 15 be a more disturbed and committed criminal than one who starts at 20? Seems plausible. I think this might be responsible for a lot of the seemingly positive effect of sentences > 5 years. There are dozens of other studies on this topic, all hotly debated, so even in this part I’m only going to list a few highlights. Still, these are: Green and Winik (2010). They use random judge assignment, ie look at criminals with similar crimes who got lenient/strict judges and so shorter/longer sentences. They find that the total difference in rearrests is indistinguishable from zero. But the length of time in which they were measuring rearrests includes the time the offenders were in jail, so this is saying that incapacitation plus aftereffects was zero (plus or minus a margin of error), meaning that aftereffects must be detrimental and large enough to cancel out the benefits of incapacitation, just as Roodman claims. But this study looked at minor crimes where sentences were measured in months, so I think this matches our previous suspicion that aftereffects might be detrimental in short sentences but neutral-to-beneficial in longer ones. Roach and Schanzenbach (2015) More random judge assignment, this time in Seattle. They find that each month of longer sentence decreases future reoffending by one percentage point. Most of these sentences are short, so this contradicts our working theory that lengthening short sentences increases crime but lengthening long ones decreases it. Neither Berger nor Roodman really want to take this study too seriously; Berger objects that it’s an unusual study population (everyone entered a guilty plea), and Roodman objects that the judge selection might not have been truly random. Rhodes (2018) is a matching study - it artificially tries to create groups of prisoners who are as similar as possible except that one group got longer sentences. Its big advantage is that it has some people serving moderately long sentences (a few years), getting us out of the few-month range investigated by some of the other studies. It finds a mild beneficial effect of longer sentences: This study provides no evidence that an offender’s criminal trajectory is negatively affected – that is, that criminal behavior is accelerated – by the length of an offender’s prison term. If anything, longer prison terms modestly reduce rates of recidivism beyond what is attributable to incapacitation. This “treatment effect” of a longer period of incarceration is small. The three-year base rate of 20% recidivism is reduced to 18.7% when prison length of stay increases by an average of 5.4 months. We are inclined to characterize this as a benign, close to neutral effect on recidivism. What Do Our Experts Think? As mentioned above, these are only a few of the very many studies on this topic, and I’ve only given the briefest summary of each. Due to the complexity of this literature, I’m relying more than usual on the opinion of the expert reviewers. Berger (pro-longer-sentences) says: Considering the rigorous research published since the Nagin et al. (2009) review, the literature regarding length of stay on recidivism is still somewhat inconsistent, with many studies claiming no recidivism effects and some showing that increased prison length reduces recidivism slightly. However, just like the rest of the research examined thus far, the study methodologies vary in terms of their limitations, which could explain some of the mixed results [...] At present, there is no substantial evidence that a criminogenic effect exists in the aggregate. Thus, it remains unclear whether criminogenic effects exist, and if so, under what circumstances...Among the substantial number of published studies with varying methodologies, not one has found a large aggregate-level criminogenic effect. Roodman (pro-shorter-sentences) says: The preponderance of the evidence says that incarceration in the US increases crime post-release, and enough over the long run to offset incapacitation. A quartet of judge randomization studies (Green and Winik in Washington, DC; Loeffler in Chicago; Nagin and Snodgrass in Pennsylvania; Dobbie, Goldin, and Yang in Philadelphia and Miami) put the net of incapacitation and incarceration aftereffects at about zero. In parallel, Chen and Shapiro find that harsher prison conditions—making for incarceration that is harsher in quality rather than quantity—also increases recidivism. Gaes and Camp concur, though less convincingly because in their study harsher incarceration quality went hand in hand with lower incarceration quantity. Mueller-Smith sides with all these studies and goes farther, finding modest incapacitation and powerful, harmful aftereffects in Houston; but modest hints of randomization failure accompany those results. Some studies dissent from the majority view that incarceration is criminogenic. Roach and Schanzenbach find beneficial aftereffects in Seattle—a result that is also subject to some doubt about the quality of randomization. Bhuller et al. make a more compelling case that incarceration reduces crime after—in Norway. Berecochea and Jaman, one of the few truly randomized studies in this literature, also looks more likely right than wrong, and is also somewhat distant in its setting, early-1970s California. And there are the two Georgia studies, which upon reanalysis no longer point to beneficial aftereffects, but still do not demonstrate harmful ones either. Aftereffects must vary by place, time, and person. But the first-order generalization that best fits the credible evidence is that at the margin in the US today, aftereffects offset in the long run what incapacitation does in the short run. Nagin (neutral, tie-breaker) says: Compared with noncustodial sanctions, incarceration appears to have a null or mildly criminogenic effect on future criminal behavior. This conclusion is not sufficiently firm to guide policy generally, though it casts doubt on claims that imprisonment has strong specific deterrent effects. What conclusions do we draw from these studies of the dose-response relationship between time served and reoffending? The one experimental study is suggestive of a preventive effect, but that effect may be attributable to incapacitation. Two of the matching studies point weakly to a criminogenic type dose-response relationship, but both are extremely dated. The Loughran et al. (2008) study suggests a possible criminogenic effect of placement but finds no linkage between time served and reoffending. We draw no conclusions from the results of the regression studies. Not only are results extremely varied, but more importantly all of the studies suffer from a fundamental analytical flaw. This flaw relates to the potential sensitivity of regression- based studies to specification errors in the model of the relationship of age and offending rate. In other words: Berger and Nagin think evidence is weak and it’s kind of a wash and maybe there are slight criminogenic effects; Roodman thinks there are strong criminogenic effects that (on the current margin) are sizeable enough to approximately cancel out the benefit from incapacitation. So What’s Up With Roodman? At the risk of repeating myself: this is the question upon which this whole essay hinges. Everyone agrees that the beneficial effects of deterrence are real but small. Everyone agrees that the beneficial effects of incapacitation are real and large. Everyone except Roodman agrees that aftereffects range from slightly beneficial to slightly detrimental, for a net effect of incarceration significantly decreasing crime. Only Roodman says that aftereffects are large and detrimental, for a net effect of incarceration having no effect on crime. So where does Roodman disagree with everyone else? My impression is that the main difference is that Roodman gives more weight to certain judge selection studies. These find that being randomly assigned to a lenient vs. strict judge (and therefore on average getting a short vs. long sentence) doesn’t change rearrest rates after X years from the time the sentence started. This X year period includes both the time spent serving the sentence, and the time after release when aftereffects might materialize - ie they include both incapacitation and aftereffects. Since these studies fail to find any net effect, and incapacitation effects must be beneficial and large, Roodman concludes that aftereffects must be detrimental and large. Then he reanalyzes several of the other studies that other people use to demonstrate no or beneficial aftereffects, and finds them less convincing after reanalysis. So who is right? Roodman gets his strongest evidence from studies of short sentences vs. shorter sentences (eg going from 0 to 1 years, or 1 to. 2 years). These are naturally where we would expect the fewest benefits from incapacitation. But they’re also where we would common-sensically expect the worst aftereffects. Someone going from zero prison to one year in prison has had their life, career, and relationships profoundly changed, in a way that someone going from ten years in prison to eleven years hasn’t. This is consistent with the National Sentencing Commission study above. They found that aftereffects trended worse the shorter the sentences got, but didn’t investigate any sentences shorter than 2-3 years. If the trend continues, sentences shorter than that could have aftereffects > incapacitation. So maybe Roodman is right about shorter sentences, and everyone else is right about longer sentences. Going from a month to a year in prison is so disruptive and criminogenic that it risks canceling the benefits of eleven extra months of incapacitation. But going from ten years to eleven years mostly just gives you the incapacitation. Marginal Revolution This highlights a problem with all of these studies: we can only talk about particular margins. Imagine a country which currently incarcerates zero people, trying to decide whether to move up to a policy of incarcerating one person. If you only incarcerate one person, it will be the baddest dude in the whole country. That guy really needs to be behind bars! And we’re not worried about turning him into a hardened criminal, because he’s already maximally bad. Here it’s obvious that benefits outweigh costs. Now imagine a country which incarcerates 50% of its population, trying to decide whether to move up to 50% + 1. At this point, you’re imprisoning someone who went a few miles over the speed limit. You gain no benefits from incapacitation (he wasn’t going to commit any crimes anyway), but you stand to lose a lot from aftereffects (he’s probably a totally normal law-abiding citizen, so there’s a very high risk of ruining his life and turning him into a more hardened criminal). Here it’s obvious that costs outweigh benefits. So the question isn’t “do the costs of prison outweigh benefits?”, but rather “at what point between incarcerating 0% and 50% of people does the cost of imprisoning one more person start outweighing the benefits?”, or even “at the current US incarceration rate of 0.75%, does the cost of imprisoning one more person outweigh the benefits?” In some sense, this is what we’ve been investigating the whole time - all of these studies are being conducted at the current margin. But this hides big differences between them. We’ve already seen that European studies get stronger results than American studies. That’s because European countries have incarceration rates of ~0.05%, compared to America’s ~0.75%. In theory, Europeans countries’ incarceration rates are lower because they have less crime. But I notice that the European countries we’re talking about here all have high recent new immigrant populations, and in Europe these groups commit more crimes per person than natives. So it’s possible that Europe is still adjusting to being a high-crime continent, whereas America has already adjusted by raising incarceration rates. So one possible conclusion is that the benefits of incarceration strongly outweigh costs in Europe. I think this is clearly true by American values - we seem to care more about preventing crime, and be less horrified by imprisonment, than the average European. But there are many different margins even within America. Louisiana’s incarceration rate is >1%; Massachusetts is <0.25%. Some of the variance reflects the criminality of each state’s population, but other variance reflects the values of each state’s voters and policy-makers. We haven’t been keeping great track of which state each of our studies comes from, but plausibly the marginal prisoner in Massachusetts is a badder dude than the marginal prisoner in Louisiana, and releasing him is more likely to have costs > benefits. Margins also differ across eras. US incarceration ranged from 0.2% in 1970 to 0.95% in 2007 to about 0.75% today. Our studies cover this entire time period. This is probably why Levitt found stronger incapacitation effects (studying the 1970s) than Owens or Lofstrom+Raphael (studying the 2000s). Finally, there are the margins across sentences we discussed earlier. Going from zero years in prison to one year is a bigger deal than going from ten to eleven. When we examine our original question - does extending the average prisoner’s sentence for one year substantially decrease crime, we find that there’s no single answer - it depends where we are on all of these margins. Roodman’s skeptical position is most plausible for shorter sentences in high-incarceration areas, and Berger’s pro-prison position is most plausible for longer sentences in low-incarceration areas. So Why Do People Keep Saying That Prison Doesn’t Decrease Crime? We began with the observation that criminologists tend to deny that prison decreases crime. We now know why Roodman thinks this: he idiosyncratically believes that aftereffects equal (and so cancel out) incapacitation. But nobody else has even gotten this far. So what’s everyone else’s position? The Vera Institute is an anti-incarceration think tank. They have a policy paper titled The Incarceration Myth: More Incarceration Will Not Decrease Crime. It says: There is a very weak relationship between higher incarceration rates and lower crime rates. Although studies differ somewhat, most of the literature shows that between 1980 and 2000, each 10 percent increase in incarceration rates was associated with just a 2 to 4 percent lower crime rate. This is just taking the (real, positive) effect of incarceration on crime, and calling it “very weak”. Research shows that each additional increase in incarceration rates will be associated with a smaller and smaller reduction in crime rates. We saw above that this is true, but I find it annoying to mention here in this kind of advocacy context - it’s also true of everything else in the world! When the Vera Institute publishes anti-mass-incarceration white papers, the 500th white paper will be less influential than the first. If I claimed that “research showed” this, and so they should stop publishing anti-mass-incarceration white papers, they would look at me like I’d gone insane. Get a life. The weak association between higher incarceration rates and lower crime rates applies almost entirely to property crime. Research consistently shows that higher incarceration rates are not associated with lower violent crime rates. This is sort of true. Research finds a stronger effect of incarceration on property crimes than violent crimes, although Levitt does find a violent crime effect of minus one violent crime per incarceration-year. Partly this is because violent crimes are rarer than property crimes, and so studies are underpowered to find them. And partly it’s because most studies are done on mass releases of prisoners, where (for example) the state has to release 25% of the prison population to decrease overcrowding, but they get to choose which 25% - and states are smart enough not to release the murderers and psychos. Still, if Vera Institute’s preferred decarceration policy is also smart, then it won’t release the murderers and psychos either, and this point will stand. So my interpretation of Vera Institute is that they’re making some good points about ways that incarceration isn’t an infinitely powerful cure-all, but that it’s deceptive to summarize them as “incarceration doesn’t decrease crime”. What about other groups? Prison Policy Institute has a list of “crime myths”. Myth #7 is that “Harsh punishments deter crime, making us safer”. They write: Many people mistakenly believe that long sentences, paired with austere and even brutal prison conditions, will have a deterrent effect on crime. But research has consistently found that harsher sentences do not serve as effective “examples” that would prevent new people from committing serious crimes. In 2016, the National Institute of Justice summarized the research on deterrence, finding that prison sentences, and especially long sentences, do little to deter future crime Here they’re using “deterrence” in the strict sense (that is, in a way that doesn’t count incapacitation), noting that it’s small, and rounding off “small” to “zero”. I’ve looked at some other sites and think tanks that claim to have arguments against the “myth” that prison prevents crime, and they’re all using these same two tricks. Either they ignore incapacitation and focus only on deterrence + aftereffects. Or they imagine some hypothetical prison super-fan who believes that incapacitation is infinitely effective, prove that it’s less effective than this, declare victory over this fake opponent, and then summarize their win as “prison has no effect”. What Are The Costs Vs. Benefits Of Prison? So a more honest version of the claim that “prison has no effect on crime” might be “the effect of prison on crime is weak”. How weak is it? We already saw one way to answer this: it probably prevents on average 7 crimes/year (6 property + 1 violent), minus some amount, especially for short sentences, if you believe in criminogenic aftereffects. For the shortest sentences at the highest-incarceration margins, it’s possible for the effect to be zero or less. Another way to answer is with elasticities. If we increase in incarceration rate 10%, how much crime do we prevent at the current margins? Levitt estimates 3%, Cohen finds 0.5-7%, and Dhodnt finds -2% (ie prison increases crime) but this is an outlier. Spelman writes: Our best estimate of elasticity is “in the neighborhood of [3% drop in crime per 10% increase in incarceration]” but “[a]ny figure between [2% and 4%] can be defended, and we should not be too surprised to find that the result is anywhere between [1% and 5%]” This broadly agrees with our numbers from Sweden, California, and El Salvador above. Small increases in incarceration cause small decreases in crime. Large increases in incarceration cause large decreases in crime. If you doubled the incarceration rate, locking up an extra million people, then crime would decrease ~30% at current US margins (maybe less, because you’re shifting the margin and getting diminishing returns). Would more prison be good or bad? We’d need to do a cost-benefit analysis. Surprisingly, Roodman does the best work here: after making his claim that costs and benefits mostly cancel out, he admits that most people won’t believe him, and tries to estimate the effect size in the “devil’s advocate” case where everyone else is right and he is wrong. He starts with our previous finding that incapacitation prevents ~7 crimes a year, and returns to the incapacitation studies to see what types of crime are most affected. Then he adjusts for the low level of aftereffects that everyone else believes in. I’ve redone his results for clarity. This table shows the total number of each type of crime prevented by keeping the marginal prisoner in jail for one extra year: Why does prison prevent negative robberies? Roodman is subtracting the small aftereffects found by other researchers, and the data for rare crimes is noisy, so probably this is just an artifact. I round this to zero for the full analysis. If we’re trying to calculate the costs vs. benefits of imprisonment, we need to put a cost on all these crimes. This is hard to quantify - a robber may steal $100 worth of goods, but valuing his crime at $100 in costs ignores the disutility of (eg) living in fear Roodman uses two methods: first, he values a crime at the average damages that courts award to victims, including emotional damages. Second, he values it at what people will pay - how much money would you accept to get assaulted one extra time in your life? These estimates still exclude some intangible costs, like the cost of living in a crime-ridden community, but it’s the best we can do for now. Here are his answers (I’ve taken the geometric mean of the two methods): So one extra year of incarcerating the marginal criminal saves society $44,000 in crimes prevented. Now we add in the opposite side of the ledger: the costs of incarceration: According to Roodman, the average prisoner costs the state $31,000 per year. He got his data from 2008, and it’s since ballooned to about $60,000, but we’ll keep his number so that everything is from the same time period. (also, as always, California is more expensive - here it’s $120,000) Roodman also adds in the costs to the prisoner. He uses some surveys to value the disutility of the suffering caused by a year in prison at $50,000; additionally, the prisoner loses about $16,000 in earning potential. The end result: if you don’t count the costs to the prisoner themselves, and you don’t use the more modern number, and you’re not in an expensive state like California, then the marginal incarceration-year saves society about $13,000. If you do count those things, or you’re in an expensive state, the costs far outweigh the benefits. Realistically, most people won’t care about analyses like this. They’ll be more interested in the unquantifiable costs and benefits, including: The “benefit” of feeling like justice has been done and an evil deed has been avenged.
Inline links: Petrich (2021), https://substackcdn.com/image/fetch/$s_!zWlX!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F2923bd71-f957-4ab0-b81f-ccf7d2defb40_534x192.png, National Sentencing Commission’s report on Length Of Incarceration And Recidivism, https://substackcdn.com/image/fetch/$s_!e2np!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F8908b811-f5cb-471c-8b5b-a1c12e739449_487x407.png, the age-crime curve, https://substackcdn.com/image/fetch/$s_!Wsj5!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F69d800da-5b61-44b5-a0d8-7d0b3dce694f_725x404.png, Green and Winik (2010), Roach and Schanzenbach (2015), Rhodes (2018), incarceration rates are lower because they have less crime, The Vera Institute, The Incarceration Myth: More Incarceration Will Not Decrease Crime, a list of “crime myths”, Cohen, Dhodnt, Spelman, https://substackcdn.com/image/fetch/$s_!FI6X!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6865dbc9-fe86-4467-ab7b-829c1425a81b_189x133.png, https://substackcdn.com/image/fetch/$s_!X8oH!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F13ddcc41-7e70-4a3c-bd25-c046f2bf811d_404x177.png, https://substackcdn.com/image/fetch/$s_!ltt7!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7484d67f-e24d-4511-ac8f-f7b20efed758_458x273.png
Drago et al 2009 investigated an Italian mass release of prisoners, where they were released with the caveat that if they were rearrested, they would have to serve not only the new sentence for the new crime, but the remainder of their original sentence too. This created a regime of very different punishments for the same crime; someone who was originally arrested for murder but released would have to serve a sentence for murder if (for example) they got caught shoplifting. They found that each extra month of a potential sentence decreased reoffending rates by 0.16 pp (1%) per month. This is on the high side of estimates, but in general we’ll find European studies find stronger effects from imprisonment than American studies; this is probably because Europe has lower incarceration rates in general and has yet to “pick the low hanging fruit”.
Inline links: Drago et al 2009
A one-strike law (life in prison after one violent crime conviction) would cut almost 80% of violent crime in Sweden; a two-strikes law would cut 63%, and a three-strikes law would cut 57%. Even a ten-strikes law would still decrease violent crime by 20%! So why doesn’t Sweden implement a three-strikes law? Such a law would add 24,000 people to the Swedish prison system. But the current capacity of the Swedish prison system is only 10,000 people. So this would more than triple the size. Suppose Sweden only had the resources to expand their prison system by 30%. According to this study, that would cut violent crime by 20%. I don’t know, these still seem like okay deals to me. But they teach us a useful lesson: there aren’t giant gains to be had by just imprisoning “a few more people”, relative to the size of your existing prison system. Despite the existence of power laws, if you want large decreases in crime, you need large increases in incarceration. Why Didn’t The Three Strikes Law In California Massively Decrease Crime? The Swedish data suggested a “three strikes law” should cut crime by 57%. That’s Swedish, and only focuses on violent crime, but American data for all offenses seem to tell a similar story: A large majority of prisoners - 80% - have been arrested more than three times3. But in fact, when California passed a Three Strikes law, the decrease was modest: In the five years following the passage of the law in 1994, crime dropped 33% in California compared to 26% in the rest of the country, meaning only 7% that you could optimistically attribute to Three Strikes. But most criminologists suggest that even this is an overestimate, and the true number is close to zero. See for example this graph, which shows that the counties which used Three Strikes the most had no greater decline in crime than the counties which used it least: So we expected Three Strikes to decrease crime by 80%, but in fact it decreased it by 0-7%. Why? Because California’s Three Strikes law was weaker than it sounds: it only applied to a small fraction of criminals with three convictions. Only a few of the most severe crimes (eg armed robberies) were considered “strikes”, and even then, there was a lot of leeway for lenient judges and prosecutors to downgrade charges. Even though ~80% of criminals had been arrested three times or more, only 1-4% of criminals arrested in California were punished under the Three Strikes law. Why can’t we have a real Three Strikes Law? For the same reason we saw in Sweden earlier. I can’t find any graphs of the US population broken down by number of past offenses, but we know that about 8% of Americans have at least one felony. Let’s say that about half of those have at least three felonies. That means a real Three Strikes law would require increasing the incarceration rate from its current 0.75% up to 4%, ie quintupling it. We’d need to build 6,000 new prisons and 10,000 new jails, locking up an additional 5-10 million people, and spending somewhere between $400 billion and $1 trillion per year (ie around the same as the entire military budget) on prison-related costs. This is light-years outside the Overton Window and I’ve never heard anyone seriously propose it. Still, it would decrease crime by 80%. Again, the lesson is that - despite power laws - small increases in incarceration cause small decreases in crime, and only very large increases in incarceration are capable of causing very large decreases in crime. Why Did A Ten Strikes Law In The Netherlands Massively Decrease Crime? Given the ambiguous results of three strikes in California, I was surprised to learn that a ten-strikes law in the Netherlands did reduce property crime by 25% (Volaard et al). In 2001, the Dutch government passed a law allowing longer sentences for criminals with at least ten previous offense who were not good targets for rehabilitation (eg rejected or had already failed drug treatment). The law allowed judges to increase the typical sentence for petty theft (2 months) to a longer sentence (2 years). A quasi-experimental study found that property crime, though not violent crime, decreased by 25%. It’s not surprising that violent crime didn’t go down since the law was almost entirely deployed against thieves. Vollaard found that the population affected was extremely criminal; they had an average of 31 past offenses, and on surveys they admitted to committing an average of 256 crimes per year (mostly shoplifting). Before the law was passed, they spent an average of four months per year in jail (probably 2 x 2 month sentences); afterwards, they spent two years in jail per crime. It’s hardly surprising that imprisoning these people decreased crime. So why didn’t the California law do the same? I think there are two reasons. First, Europe imprisons far fewer people than any US state. The incarceration rate in the Netherlands is only an eighth that of California. The pre-ten-strikes-law Dutch penalty for shoplifting was two months; the equivalent California penalty alternates between six and thirty-six months depending on which set of propositions won the last election. Vollaard found that the ten strikes law had diminishing returns: On average, we find the benefits of the policy to exceed the costs by a large margin. We find the benefits to go down rapidly with a more intensive use of the law, however. The marginal crime-reducing effect of convicting another prolific offender to an enhanced prison sentence declines by some 25% when going from the 25th to the 75th percentile in the rate of application of the law during 2001–7. The benefits of the policy remained higher than the costs, however, even for the cities which used the law most intensively. So I think it’s plausible that California was already much more punitive than the Netherlands even before the California Three Strikes Law was passed, and there were diminishing returns from becoming even more punitive than that. Second, the California law only applied to certain serious crimes (eg armed robbery). People don’t commit these as often as shoplifting. The average person affected by the Dutch law shoplifted 256 times per year. Even the most energetic criminal would struggle to commit 256 armed robberies per year, and they would probably get killed (or murder a victim) long before reaching that point. So petty theft is longer-tailed than serious felonies, and it’s easier to decrease the petty theft rate by imprisoning the few worst shoplifters compared to decreasing the armed robbery rate by imprisoning the few worst armed robbers. Why Can’t We Just Incarcerate Those 327 Shoplifters In New York City? This time we just suck. Remember, each of these shoplifters was arrested 20 times per year. So they can’t be going to prison in any substantial way. Even if they got a one-month sentence for each arrest, they’d run out of months to shoplift in after twelve! So the question here isn’t “why are prison sentences for shoplifting so short”, but rather “why can’t New York City incarcerate repeat shoplifters at all?” I’ll come back to this question later. What About El Salvador? They famously solved crime by more imprisonment - how? By doing a lot of it. I said above that we might be able to decrease US crime rates by 80% if we quintupled our incarceration rate. Between 2014 and today, El Salvador quadrupled their incarceration rate: (source) They now have by far the highest incarceration rate in the world, 2-3x that of America (which is itself the fifth highest, after various dictatorships). How did they afford this? Through a combination of lots of funding, not being too picky about human rights and prison conditions, and not being too picky about whether the people they imprison were guilty of any specific crime or just kind of gang-adjacent. As incarceration rate quadrupled, homicide went down by a factor of twenty: We previously predicted a similar increase in incarceration would lead to an 80% decrease in crime in the US, but El Salvador got a 95% decrease in crime. Why did they do so much better than our prediction? I think because they started with half our incarceration rate and ten times our murder rate. When you’re starting from someplace terrible, without any of the low-hanging fruit picked, it’s easy to make progress! I can’t find good statistics on other crimes like theft, but the crappy statistics I find say it hasn’t budged (1, 2). Why not? Either my statistics are bad, or the gangs that the government cracked down on weren’t in the theft business.4 Incapacitation Fine, so despite power laws there’s no way to easily solve crime just by imprisoning a small number of people. How much bang for the buck do we get by incapacitating criminals? You would think this would be easy to figure out: just determine how many crimes the marginal prisoner commits per year. Then that’s how many crimes incapacitation prevents per year. But although it’s easy to see how many times the marginal prisoner has been arrested, most crimes don’t result in arrest. How do you know how many crimes they really committed? Some bold scientists have tried asking them - giving prisoners surveys about their criminal histories - but obviously these should be greeted with heavy skepticism. The method criminologists have settled on is to wait for big shocks to incarceration - big enough to affect the general crime rate - then see how much the crime rate goes up or down. The best study here is probably Levitt 1996 (you may know Steven Levitt from Freakonomics). In the 1970s, US prisons were overcrowded. The ACLU argued the overcrowding was a rights violation - a form of “cruel and unusual punishment” - and sued a dozen states. They won all their lawsuits, and judges in all states said the government had to free prisoners until prison crowding returned to a non-cruel, usual level. So at a slightly different time in each state, many prisoners got released all at once. By examining the effects of this sudden release on the crime rate, we can determine how much crime the incarceration of those prisoners was preventing. Levitt does a lot of fancy statistics, and Roodman reanalyzes with even more fancy statistics, but the good news is they both agree and get numbers somewhat contrary to Roodman’s biases, which make me trust them more. Each year of imprisoning the type of prisoner who got released under the ACLU lawsuits prevented 6 property crimes and 1 violent crime. This suggests the average criminal commits ~7 crimes per year, which I think matches well with the data above showing that the median prisoner has 10 past arrests and some have 30+. Other studies on incapacitation, mostly taken from Roodman, that I trust less than Levitt: Owens (2009) investigated a Maryland law that caused some criminals to get released early. They found a crime increase corresponding to about 3 crimes per prisoner per year. This is lower than Levitt’s estimate of 7, but crime rates went down in general between Levitt’s study period (the 70s) and Owens’ (the 2000s), so they might both be right.
Inline links: https://substackcdn.com/image/fetch/$s_!ZVo3!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F889a20e6-5205-47a1-b84e-6f9cd0739f05_1068x462.webp, 3, https://substackcdn.com/image/fetch/$s_!dRO5!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff81d2a2f-a22f-4fd2-b492-bb47402a40af_640x532.png, https://substackcdn.com/image/fetch/$s_!Tpwp!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F98d17add-250e-447a-b01c-fc8bb77f8bc3_298x264.gif, 1, 4, 8% of Americans have at least one felony, Volaard et al, https://substackcdn.com/image/fetch/$s_!9L-h!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F29a25928-8620-45d1-b677-34447be88ad6_778x528.png, source, fifth highest, https://substackcdn.com/image/fetch/$s_!ww3Y!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F028e701c-5f95-436d-b1ff-15742274e221_2000x2000.png, 1, 2, 4, Levitt 1996
A prophet is without honor in his own country - or, to put it another way, a disease rarely goes pandemic in the area where it evolved. You need a naive unexposed population before ideas can really explode. Enter the United States.
[He] was installed as dean of architecture at the Armour Institute in Chicago. And not just dean; master builder also. He was given a campus to create, twenty-one buildings in all, as the Armour Institute merged with the Lewis Institute of Technology. Twenty-one large buildings, in the middle of the Depression, at a time when building had come almost to a halt in the United States - for an architect who had completed only seventeen buildings in his career - o white gods! Such prostration! Such acts of homage!
In the early 1900s, the US still had a colonial inferiority complex. Europe automatically had the best and classiest of everything: the best intellectuals, the best food, and definitely the best art. A few bold Americans tried to blaze their own cultural trail, but they were overwhelmed by the power of elite Europhilia.
I moved for a while to a central European country and was impressed with the criminal justice system and the low level of crime/high level of compliance, despite the high amount of migration. The biggest thing I noticed is the certainty of being caught that you mentioned. Sentences were (to my American eyes) relatively short and weak - and more liberal Americans often thought there was less crime because the country was somehow more humane. But the main thing I noticed was: the certainty of being caught was high. Police were everywhere and very responsive. Small fin3es and one-night-in-jail punishments were everywhere for petty crimes. I think the U.S. would benefit from strong policing with simple, consistent punishments for many small crimes, especially for first time offenders.
American police spend approximately all police-hours on traffic tickets, rather than solving actual crimes. And this is with homicide closure rates of ~50% and rape ~30% and property crimes ~10%.
How come in one million articles about Bukele and crime in El Salvador, including many trying to discredit him or say it wasn’t worth it, I’ve never heard a peep about this? And if it wasn’t Bukele or mass incarceration that did it, then what was it? [Y] writes: I have issues with the El Salvador portion of this post. These charts show that the Bukele mass incarceration movement only resulted in a massive increase in the prison population from 2020 forward, based on projected population. The graph shows the murder rate peaking in 2015 and dropping precipitously in the next three years prior to Bukele's presidency. This means, unless I'm missing something, that the vast majority of the decrease in the murder rate occurred before Bukele took office and started putting people in prison at all and thus cannot be attributed to his policies, incarceration or otherwise. Bukele took office in 2019 and did not begin the crackdown until June of that year. The state of emergency that allowed the government to suspend various rights in order to crack down on gangs even further didn't begin until early 2022 While the murder rate was obviously still quite high before Bukele's incarceration policies began, it seems almost actively misleading not to mention that it was collapsing even before he instituted these policies as a result of things like a renewed gang truce in 2016 under the previous government and instead seemingly attribute all of it to him. Further, the post-Bukele homicide data is dubious in several ways. The Bukele government stopped counting bodies discovered buried in unmarked graves as homicides, incentivizing gang members to hide their victims instead of publicly displaying them as trophies or warnings as they had done in years prior. They stopped counting people the police or military shot as homicides, classifying them instead as “legal interventions". They have excluded killings in prisons from the homicide data, which seems like exactly the most obvious way to lie about homicide rates when you begin imprisoning everyone. https://foreignpolicy.com/2024/08/08/el-salvador-bukele-crime-homicide-prison-gangs/ The source article suggests the above may represent as much as a 47% undercounting. Well, one might say, that still leaves El Salvador much safer than before Bukele’s tenure. But I’m not linking the above to try and pin down exactly the right figure of undercounting. I would suggest instead that these changes to the metrics demonstrate a willful and deliberate pattern of obscuring the homicide rate in El Salvador. The post-Bukele data consequently seems almost useless to me, as you cannot really assume we know all the ways the Bukele government is fudging the data. These are just the ones on record. It’s not that murder has disappeared in El Salvador - it’s more like it’s now de facto legal in many contexts. An MS13 member who rolls up on a rival gang’s stash house and shoots it up now knows that if they can bury the bodies in an unmarked grave outside of town without being caught red-handed with the shovels and corpses, the victims will legally cease to exist. They’re not prosecuting people for these murders, right? Otherwise they would show up in the data. The media doesn't talk about them. You don't see the evidence. Out of sight, out of mind. I'm not suggesting no murders were prevented as a result of the Bukele government's mass incarceration policies, obviously. I can also see the argument that it's good for society for criminals to kill each other in prison yard fights instead of getting into shootouts in a marketplace where an innocent bystander also gets their head blown off. I just think the fundamental premise - that he arrested everyone and it caused murders to stop happening and we need to reason forward from there - is extremely dubious. Drethelin writes: idk about the statistics but multiple people I talked to in el salvador specifically told me theft was WAY down like walking down the street with your phone in your hand was now an option where it used to not be people can now both afford to and feel safe owning cars, etc. among other things they are very proactive about using what we wouldn't really consider due process, eg cops browsing facebook and like, going after guys that people post from their security camera footage as taking their bike or whatever Thanks - I had said in the post that although murder was down, the statistics didn’t really show this about theft - but I was eyeballing statistics not really gathered for this purpose and if the news on the ground is that theft is down, I believe it. 4: Comments On Probation In response to a question of why probation with GPS tracking hasn’t taken off as an alternative to prison, Peter answers: Because convicts turn it down. You see at least in America probation (which is what GPS monitoring is part of) and incarceration aren't related, you get no credit for the former when it comes to the latter and people like to overlook over half of people incarcerated aren't there for any crime at all but simply a technical probation violation like getting fired from your job from not showing up on time because your probation officer randomly changes times of meetings daily (which is also results in prison even if you are one minute late). If the max sentence is five years prison plus probation time doesn't count and you have a more likely than not chance of violating probation because it's designed to be unreasonable and cause failures as a back door way for judge's to avoid trials, why would you accept GPS monitoring which will only increase your chances of being violated. I.e..why do nine years (four years probation out of your ten year probation, then violated, then five in more actual prison) when you can just do five. Generally the rule among convicts is if the prison sentence is shorter than the probation sentence, just take prison day one. As a convict you can, and many do, turn down probation. If you want to fix this then you need to let convicts "try" probation where they get credit at a 1-1, or even better motivate them so let's say 2-1, towards a future prison sentence when they fail. This entire conversation (OP) is worthless as it's making the standard mistake of just looking at prison and not probation, jail, fines, etc all which backdoor as a way to avoid trials lead to prison. This isn’t very clearly written, but my impression is that Peter is saying that violating probation gives you a longer prison sentence than just accepting prison in the first place, probation is deliberately designed to be near-impossible to keep, and so it’s a con to trick criminals into longer sentences without having to get them through a judge and jury. Criminals know this, so they refuse probation. This kind of conflicts with the “criminals have high time preference and make terrible decisions” point above, so I’m not sure what to think of it. I wonder if people ever try GPS tracking (without the rest of probation) as a prison alternative. “You’re getting off with a warning this time, but wear this tracker, and if you commit any other crimes in the future, we’ll know.” [EDIT: commenter answers here] More from Peter: Remember, the entire point of probation is to get people to avoid a trial by plea dealing to probation and then put them in prison anyways without any due process because reasonable people, the sort that takes plea deals, believe in the system hence overestimate their ability to complete probation. And so you put them in prison on a technical violation, i.e. getting fired after you intentionally caused them to do so, not having a place to live after you intentionally refused to approve anywhere they tried live, changing their appointment times without confirming they know ("I left a message with their dog"), or just harass them until they give up and just go to prison. Americans tend to discount probation as a joke but any experienced convict knows probation as implemented is worse hence just goes to jail. Also note that probation and PAROLE are different and significantly so, you actually get credit for parole time. Parole WANTS you to succeed, after all they paroled you, probation doesn't. They aren't even the same group of government offices either which is part of the problem. Probation falls under the judiciary (they work for the court) hence they free up budgets the faster they can move you over to the executive (prison) branch whereas parole is a cost saving measure as it falls under the same prison budget, i.e. parole officers aren't probation officers. Also all those fancy rehabilitation programs people love to tore to decrease recidivism goes to parolees, not probationers. I.e. there are giant structural incentives from pure intergovernmental bureaucratic budget wars to move people from probation to prison and because it's controlled by judges, I.e. the prison department can't just refuse to take a trivial probationary revokee, it's a one sided fight […] For example I got a friend that just got two years for the driving the speed limit in Texas while at a funeral, travel approved by the judge, because probation also makes it illegal to break your state law even in another jurisdiction where it's legal. He was driving 85 (the posted speed limit) in outside Austin but in Hawaii it's a misdemeanor to exceed 80 mph for any reason on any road strict liability; his PO asked him "jokingly" if he drove the speed limit while there and if he enjoyed the faster mainland speeds, he said "yes" unbeknownst to him he was being setup. His admission resulted in his probation being revoked for literally following the posted speed limit. Charlotte Wollstonecraft writes: The marginal prisoner in Massachusetts may be a much badder dude than the marginal prisoner in Louisiana. But here is anecdotal reason to believe he is not: Last week in New Orleans, there were three mass shootings. Two of them happened at the same second line in New Orleans East, 45 minutes apart. In two separate incidents, a gunman opened fire at a large outdoor gathering. In total, two people died, and ten were wounded. This is not national news. No arrests have been made. The third shooting took place in the French Quarter four days later. One of the three shooters was caught immediately. Turns out, he had already served seven years in prison for armed robbery. Last year, he was arrested again and charged with domestic battery, child endangerment, and possession of a firearm by a convicted felon. A plea deal got him out on parole, the terms of which he violated near daily according to his ankle monitor's logs. He was wearing the ankle monitor at the time he opened fire on a French Quarter street, wounding three people and killing another. I’m including this here as a counter to Peter’s story of the guy who got two years in jail for driving the speed limit. I hear so many outrageous stories of extreme strictness and so many outrageous stories of extreme laxity (see also this post) that I’m nervous about turning the dial one way or the other compared to trying to figure out what’s going on. 5: Comments That Say My Analysis Forgot Something Grant Gould writes: You allude to it twice but then pass over it "for simplicity": None of these studies measure within-prison crime, which is largely not counted, tracked, tried, or prosecuted. It is not only plausible but likely that "incapacitation" is at best simply relocation of crimes. And even _that_ is leaving aside the regular drumbeat of deeply sadistic crimes by guards, which are even less counted, tracked, tried, or prosecuted. The quality of statistics on crimes within prisons is very poor, of course; ttbomk it is not practically possible to know if the average prisoner commits crimes at a greater rate while incarcerated than while outside, or likewise the rate at which people in prison are crime victims versus those outside. If your value function is some sort of utilitarian sum over society, you have to count those, or else your utilitarianism is just gerrymandering people into and out of the boundaries of the utility summation (in which case you can optimize utility much more simply than by incarcerating; simple Schmittianism will do the job more easily, and it's free since you don't count the cost). I wrote this post to respond to debates (eg on California’s Prop 36) on whether prison is an effective way of decreasing the crime that normal people have to suffer in their neighborhoods. I think this is an important question that lots of people care about. Whether prisoners commit crimes against other prisoners is also important, but it’s a different question. I think people would justly distrust me if I pretended to be answering the question they cared about, but actually answered a different question. I (following Roodman) gave two conclusions in my cost-benefit analysis - one that counted the suffering by prisoners themselves, and one that didn’t. Since I think different people will have different intuitions on this, I think it was the right strategy. The one that counted the suffering of prisoners included a general estimate of willingness-to-pay for prison which I think includes the cost of intra-prison crimes. Either way, I think being exposed to intra-prison crimes is a small fraction of the badness of prison that doesn’t change that analysis much. I also don’t think it’s exactly right to say that incarceration only relocates (rather than prevents) crime. This may be true for murder and rape. But there aren’t a lot of things to steal in prison (not zero, but not as much as in the outside world) and the vast majority of crimes are property crimes. JBG writes: Some thoughts as a former defense attorney. On "after effects," skipping all the way to length of incarceration misses a lot of what's going on for first time offenders. As your own examples note, many of the problems making it harder to make an honest living accrue from being a felon as such, and not from jail time. I'll add on that merely being *arrested* triggers a similar cascade of consequences. Your average person will be fired from their job very quickly after arrest -- either because of the arrest itself or just because it leads to missing work. And an arrest on its own, without a conviction, is sufficient to make it hard to get hired on in a lot of jobs. But this is all specific to first-time offenders; going from someone presumed to be a law-abiding citizen to being a felon changes everything. An incremental felony after that doesn't change much. From your description, it seems like the studies are blurring this together? I'd be interested to see evidence focused specifically on first time offenders. My guess would be that there's a large, negative effect of your first felony (all else equal) but not much effect at all of subsequent felonies. In that case, there's a very different calculus for the incapacitation vs. recidivism tradeoff for different, identifiable groups. Undeserving Porcupine writes: Eugenic effects of 3-5x’ing the prison population? Makes it harder for these criminals to make more of themselves. Several people brought this up on Twitter. It deserves a full post response, but in case I don’t get around to making it - I think this is almost zero. I realize that’s a surprising claim, but compare the Nazi eugenics program against schizophrenics discussed here. They killed most of the schizophrenics in Germany, and schizophrenia is 80% genetic, yet the next generation had the same number of schizophrenics as ever, at least within the measurement margin of error. See the post for a longer explanation of this seemingly paradoxical result. Sebjenseb did a similar analysis and finds that if you execute the most criminal 1% of the population each generation, population level criminality decreases by about 0.1 standard deviation per 400 years. This is less trivial than I expected - it corresponds to a drop in the murder rate from 30 to 20 (possibly less for other crimes). But it's also a better case than our real scenario for a few reasons (police have 100% efficiency in arresting the worst criminals exactly in order; execution is better at preventing childbearing than prison). Maybe a real scenario is 33% decrease in crime rate per 600 years? Doesn't seem that relevant to me - even if we don’t get a singularity in the next few decades like I expect, we’ll probably get better genetic engineering or go multiplanetary (in which case founder effects will overwhelm everything else). Publius Obsequium writes: One thing Scott neglects is the beneficial effect prison has on kids of criminals (yes you read that right - look it up) Here is an article making this case and citing some corroborating studies. I would stress that there are also many (probably more) studies finding the opposite, and that I haven’t looked through any of the studies on either side to check whether they’re any good. Straphanger writes: This analysis ignores that punishment is a good in itself. The victims of crimes deserve retribution against the people who have wronged them. Some version of this was one of the most common comments, with opinions ranging from: I was a bad person for not focusing on the suffering of the prisoners in prison more, especially their potential victimization by prisoner-on-prisoner violence.
Finally, modern democracies pursue redistribution (and are otherwise responsive to non-elite concerns) partly out of geopolitical self interest. Under capitalism (as opposed to eg feudalism), national power depends on a strong economy, and a strong economy benefits from educated, globally-mobile, and substantially autonomous bourgeoisie and workforce. Once these people have enough power, they demand democracy, and once they have democracy, they demand a share of the pie; it’s hard to be a rich First World country without also being a liberal democracy (China is trying hard, but hasn’t quite succeeded, and even their limited success depends on things like America not opening its borders to Chinese skilled labor). Cheap AI labor (including entrepreneurial labor) removes a major force pushing countries to operate for the good of their citizens (though even without this force, we might expect legacy democracies to continue at least for a while). So we might expect the future to have less redistribution than the present.
Finally, one could assume that a post-singularity democratic government would naturally implement a wealth tax, and view one’s own role as ensuring that the post-singularity government stays democratic. I’ve been wondering lately if anyone (Leopold?) is explicitly asking the government to check AI model specs and see whether they include phrases like “in cases of conflict, listen to your parent company” or “in cases of conflict, listen to the US government”. A polite letter from the White House asking to shift from the former to the latter would be an easy sell now, but might have cosmic ramifications later on.
That’s worse! A few years ago, I debated Kevin Drum about (what I considered) a particularly egregious case where the FDA dragged its feet approving a life-saving medication. Drum argued that the FDA had behaved well. In support, he found some quotes from the doctor working on the medication, who praised all the FDA bureaucrats she had interacted with, calling them extremely helpful. This bothered me for a while, until I realized that of course it was true. In the model above, each bureaucrat processes ten forms. If the bureaucrats are benevolent, this might look like talking to the doctors, walking them through the process of figuring out their ten forms, and doing the work to add their ten forms to the FDA’s growing pile of evidence supporting the application. All of this co-exists comfortably with the insight that making doctors fill out a thousand forms before they can use a medication is an impediment to medical progress. This really sunk in for me when I read an article about the fall of Afghanistan to the Taliban in 2021. Many Afghans had collaborated with the Americans, eg as translators, in exchange for a promise of US citizenship. As the Taliban advanced, they called in the promise, begging to be allowed to flee to America before they got punished as traitors. The article focused on a heroic effort by certain immigration bureaucrats, who worked around the clock with minimal sleep for the last few weeks before Kabul fell, trying to get the citizenship forms filled in and approved for as many translators as possible. It made an impression on me because nobody was opposed to the translators getting citizenship, and the bureaucrats were themselves the people in charge of approving citizenship applications, so what exactly was forcing them to go to such desperate lengths? If you ponder this question long enough, you become enlightened about the nature of the administrative state. If you don’t, you end up like Ramaswamy, who seems to think that halving the number of bureaucrats will halve the number of forms that need to be filled out. I think in his worldview, the FDA will think “Now that we have fewer bureaucrats, it would take forever to complete our current process, so let’s simplify the process.” Maybe he is working off a thesis where red tape expands to consume the resources available to it (as measured in bureaucrats). But my impression is that the amount of red tape is determined more by things like: — How likely is it that their decision will get challenged in court? And if it gets challenged in court, what amount of paperwork do they have to show the judge to prove that they made the decision on a “reasonable basis”? For example, when I type “FDA sued” into Google, the top result is a news story from a few days ago, saying that an environmental organization sued the FDA for not listening to their earlier request to ban phthalates from food. Six years ago, the environmental groups submitted a petition (the catchily-named “Food Additive Petition 6B4815”) demanding that the FDA ban 28 phthalates. Two years ago, after consulting with industry, the FDA finally banned 23 phthalates but said that the other five were okay, releasing a 58 page decision explaining its decision. Two days ago, the environmental groups sued, saying the remaining 5 phthalates are still bad. I assume the lawsuit will nitpick the details of the the 58 page decision, trying to prove that it it didn’t violate any of hundreds of federal laws saying that bureaucratic decisions must be reasonable, bureaucratic decisions must be based on science, bureaucratic decisions must respond to the petitioners’ complaints, bureaucratic decisions cannot have disparate impacts on different races, etc. I also assume that if the FDA had banned all the phthalates, they would have faced an equally serious lawsuit from Big Phthalate saying they were unfairly crippling business. Why does it take six years to respond to a petition? My guess is because they knew they would get sued and so they have some sort of million-step process that addresses every single thing you can sue over, so that they can prove to the court that their process addresses all possible complaints and they followed it to the letter. If you cut their bureaucrats in half, that doesn’t mean there will be fewer steps in the process. It means they’ll keep wanting not to get sued, the process will stay the same, and everything will take twice as long. — What has Congress mandated that they do? For example, when I Google “Congressional FDA mandate”, I get a page on HR 7248, a bill currently making its way through Congress, which says: This bill requires the Food and Drug Administration (FDA) to establish a process that supports nonclinical testing methods for drug development that do not involve the use of animals. Specifically, the FDA must establish a pathway by which entities may apply to have nonclinical testing methods approved for use in a particular context. Qualifying methods must be intended to replace or reduce animal testing and to either improve the safety and efficacy of nonclinical testing or reduce the time to develop a drug. The FDA must issue its decision within 180 days of receiving an application. The FDA must also prioritize the review of applications for drugs that are developed using an approved nonclinical testing method. The FDA must annually post a report on its website that summarizes the results of the bill's implementation, including the number of applications received, types of methods that were approved, and the estimated number of animals saved as result of these methods. So the FDA has to establish this process and post an annual report on its website. How many bureaucrats per year does this take? Maybe five? If you halve the number of people at the FDA, you still need a constant five bureaucrats to comply with this particular law. If the bill passes, the FDA comes up with a nonclinical testing process, and someone (eg the nonclinical testing industry) doesn’t think it’s good enough, they can sue the FDA for not following the law. How good a nonclinical testing process will the FDA need in order to avoid lawsuits under this bill? I assume there is a large body of administrative law answering that question, and that it will take many bureaucrats to figure this out. Finally, I admit I’m a bit confused by this. IIRC “nonclinical testing” refers to things like testing drugs on stem cells or artificial organs instead of humans. You can obviously do this for some parts of the drug testing process, but not others; the FDA has already adjusted for this and integrated it into their guidelines to some extent. I can’t tell whether this law is a righteous attempt to correct bureaucratic foot-dragging, or a powergrab by Big Nonclinical Testing demanding that the FDA privilege their products over other forms of experiment. If the latter, the FDA may try to come up with some fake pathway that satisfies the letter of the law without really giving Big Nonclinical Testing any unfair privileges, and Big Nonclinical Testing will probably sue and say it violates this bill. How many bureaucrats do you think it will take to manage that? — How much will they get yelled at if they take too long to approve drugs, vs. if they mistakenly approve a bad drug? This is the basic determinant of all FDA drug approvals. Halving the number of FDA bureaucrats wouldn’t have literally zero effect on this balance. It would mean that approving new drugs would be delayed twice as long. This would be a little more outrageous than the current delay, and might shift an outrage-minimizing FDA director slightly in the direction of cutting rules. But solve for the equilibrium: there would still be more delay than there is now. Also, I don’t think public outrage about long drug delays is linear with regard to delay, and public outrage at bad drugs is constant and large. So I think at best, firing bureaucrats would shift this balance a small amount, and only by making everything overall worse. II. One possible objection: this assumes that the average bureaucracy is like the FDA drug approval process. But the FDA drug approval process’ job is to approve things. Maybe the average bureaucracy’s job is to ban things. Then decreasing their capacity would be good. (Vivek gets to be main example here because he tweeted, but the same considerations apply to Elon: even though the government as a whole is delaying SpaceX rocket launches, individual bureaucrats might be speeding them up through the same 1000-forms logic as in the FDA case) There’s certainly a spectrum from the most approval-focused bureaucracies to the most ban-focused bureaucracies. Thinking hard about this spectrum would be a step up from “instantly” firing 50% of all bureaucrats based on social security number. So maybe a steelman of Vivek’s point would be to fire 50% of people in the ban-focused bureaucracies (and maybe double the number of people in the approval-focused ones?) I’m still skeptical that this is how it works. The past few years have seen the cryptocurrency industry demand regulation, and the government mostly fail to step up (though crypto businesses hope the Trump administration will do better). Why do crypto businesses want to be regulated more? Because the alternative is something where it’s not clear what’s legal and anyone could be sued or shut down at any time. The chief legal officer of Coinbase, from the second link: All of us are begging for sensible standards that would allow us to get back to building great products and services and spend less time and frankly, less money, arguing over legal definitions and statutes. This isn’t because anyone specifically banned crypto. It’s because there are bans on other things (like unlicensed securities, money laundering, etc) that crypto is vaguely related to, sometimes an agency regulating these things will tell a crypto company “sorry, we think you’re illegal”, and crypto wants some specific list of things it can follow that explicitly establish it as on the right side of money-laundering and security-licensing laws. Obviously industries would prefer that these be simple and easy standards (“oh, don’t worry, you don’t have to worry about money laundering if you’re a crypto company”), but they would settle for strict regulations as long as the regulations carve out some ability for them exist at all. I’ve seen the same thing play out in another area I follow, cultured meat. There are many laws about what meat you can and cannot sell, how the animals have to be treated, what the sanitation standards are, et cetera. Some of these standards make no sense when applied to cultured meat; others, cultured meat naturally fails by default (you can’t prove you’re treating the animals in a certain way because there are no animals). Others are novel philosophical questions (can you sell cultured meat without saying it’s cultured? How big does the print need to be before it counts as saying that it’s cultured? What about on restaurant menus?) Situations like these mean that there’s no clear distinction between default-yes and default-no bureaucracies. There’s no explicit ban on crypto or cultured meat. But if you cripple bureaucracies’ ability to interact with these fields, it doesn’t mean they’re fully legal, free, and happy forever. It means they’re stuck in regulatory limbo. III. So it seems like you don’t want to fire bureaucrats, you want to cut red tape. In our toy model, you want to reduce the number of forms from 1,000 to (let’s say) 100. Then the same number of bureaucrats can get drugs approved ten times faster. In our non-toy actual model of what’s going on, this would require changing incentives. Maybe you could change judicial procedures so that fewer people sue, or the FDA needs less evidence to win any given lawsuit. This sounds hard (Vivek and Elon seem more qualified to wield chainsaws than to understand legal minutiae), possibly illegal (does the administrative branch even control how judicial procedure works?), and politically unpopular (this basically looks like telling people “f@#k you, companies can put as many phthalates as they want in food, we don’t have to prove that this decision is evidence based, and you’re not allowed to challenge us.”) Or it would require Congress to repeal legislation mandating things. These Congressional mandates are probably things that Congressmen and their constituents (either real constituents or special interests) care a lot about, so good luck getting them repealed. Also, doesn’t Congress pass like one bill per year now? This would normally make me pessimistic, but Vivek and other anti-bureaucracy activists have pointed to a recent success story: Idaho. Idaho cut their regulatory code by 38% in 2019, and since then it’s only gone down. How did they decrease red tape so fast? They did it through the power of nominative determinism. In that year, they elected a governor named Brad Little. His administration is called the Little Administration. Obviously government had to get smaller. But on a purely exoteric level, what methods did they use to pull this off? This CPAC article gives the basic story: The Little administration instituted sunset provisions that review each regulation every five years and make sure it’s justifiable.
Inline links: I debated Kevin Drum, a news story from a few days ago, a 58 page decision, have seen the cryptocurrency industry demand regulation, hope, https://substackcdn.com/image/fetch/$s_!TTSy!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fb73cf3f3-e501-49b6-b2a3-b84c602d5038_481x344.webp, This CPAC article
Idaho cut their regulatory code by 38% in 2019, and since then it’s only gone down. How did they decrease red tape so fast? They did it through the power of nominative determinism. In that year, they elected a governor named Brad Little. His administration is called the Little Administration. Obviously government had to get smaller. But on a purely exoteric level, what methods did they use to pull this off? This CPAC article gives the basic story: The Little administration instituted sunset provisions that review each regulation every five years and make sure it’s justifiable.
Inline links: This CPAC article
(source) … sub-Saharan Africa is also a hot spot. I wonder what’s wrong in Cuba - this is exactly the sort of easily gameable metric I would usually expect them to be good at, or at least carefully faking. If you’re interested, you can donate to Iodine Global Network here. Bob Jacobs writes: > His opponents pointed out both his personal racist opinions/activities That's the mildest possible way you could've put it. He wasn't someone who had "personal racist opinions" that he kept as "personal racist opinions". He was the editor-in-chief of Mankind Quarterly, a white supremacist journal that was founded by people like: Henry Garrett an American psychologist who testified in favor of segregated schools during Brown versus Board of Education, Corrado Gini who was president of the Italian genetics and eugenics Society in fascist Italy, and Otmar Freiherr von Verschuer who was director of the Kaiser Wilhelm Institute of anthropology human heredity and eugenics in Nazi Germany. He was a member of the Nazi Party and the mentor of Josef Mengele, the physician at the Auschwitz concentration camp infamous for performing human experimentation on the prisoners during World War 2. Mengele provided for Verschuer with human remains from Auschwitz to use in his research into eugenics. It's funded by the pioneer fund, an organization he was a board member of and that has been classified as a white supremacist hate group, with one of its first projects being to fund the distribution in US churches and schools of "Erbkrank", a Nazi propaganda film about eugenics. He's not just called racist, he *is* racist, he even describes *himself* as a racist. No contesting any of this. MM writes: I spent 18 months in a country where people are supposed to have an iq of about 70, according to the map. My neighbors and friends were mostly non-literate. They did not seem less intelligent than the people I know in my current (US) neighborhood or the people I grew up with (in the US). Most of them would not have performed well on IQ tests, though. They'd never attended school and had no familiarity with puzzle-solving. This was 35 years ago and most people had not seen movies or even photographs. I remember sitting with one older woman and helping her interpret a black-and-white photograph: this is the arm, here's where it connects to the body, etc. It's hard for people from literate societies with tons of exposure to text & graphical representations to see the extent of the gap. Calvin writes: I have a decent amount of experience with the intellectually disabled, and saying "cognitive issues are only responsible for a small part of the [communication] deficit" is so wrong that it makes me question everything else in this essay. Trust me, even making allowances for poor hearing or difficulty forming words, the cognitive issues are responsible for 90% of the deficit. An IQ of 60 is really low and it's a significant handicap. I was concerned to hear this - I have a little experience with the intellectually disabled, but it didn’t involve knowing people’s exact IQ, so I’m not very well-calibrated here. Looking for more information, I found https://www.hrw.org/reports/2001/ustat/ustat0301-01.htm, which purports to describe the characteristics of very low IQ people, mostly in the context of criminal justice (where lawyers often try to use a client’s low IQ as a mitigating factor - ie maybe he didn’t truly understand that crime is wrong). The report says things like: Although all persons with mental retardation have significantly impaired mental development, their intellectual level can vary considerably. An estimated 89 percent of all people with retardation have I.Q.s in the 51-70 range. An I.Q. in the 60 to 70 range is approximately the scholastic equivalent to the third grade […] Although mental retardation of any degree has profound implications for a person's cognitive and social development, it is a condition which in many cases is not readily apparent. While some of the mentally retarded, such as those whose retardation is caused by Down's syndrome or fetal alcohol syndrome, have characteristically distinctive facial features, most cannot be identified by their physical appearance alone. Unless their cognitive impairment is unusually severe (e.g. an I.Q. below 40), persons with mental retardation may be thought of as "slow" but the full extent of their impairment is often not readily appreciated, particularly by people who have limited contact with or knowledge of them, including police, prosecutors, judges, and other participants in the criminal justice system. Many capital offenders with mental retardation did not have their condition diagnosed until trial or during post-conviction proceedings. And gave some examples (slightly out of order for this list): Oliver Cruz, who was executed in Texas on August 9, 2000, had an I.Q. that was measured variously at 64 and 76. Cruz nonetheless insisted to reporters that, although he was perhaps "slow in reading, slow in learning," he was not mentally retarded. Mitigation specialist Scharlette Holdman recalled a client who so successfully hid his retardation from his attorneys that he allowed them to sign him up for college-level calculus classes, which he could not comprehend. He had gone through much of his schooling allowing his younger sister to complete his homework for him. When he was given papers to read in connection to his case, he would carefully stare at them. If he was asked a substantive question, he usually responded, "I don't recall." Only when experts in retardation evaluated him and investigators reviewed his school records and spoke to his family did lawyers discover he had mental retardation and had been considered "slow" since his early childhood. Another capital defendant "hid his mental retardation for most of his life by working at a very repetitive job as a switcher on the railroad. He lied about finishing high school. He was actually in special education classes and did not finish the sixth grade. He was drafted into the army and discharged because of his mental retardation. He lied about his service record. He often made things up so that people would not suspect mental retardation." Morris Mason, whose I.Q. was 62-66, was executed in 1985 in Virginia after being convicted of rape and murder. Before his execution, Mason asked one of his legal advisors for advice on what to wear to his funeral As one psychiatrist testified about a capital defendant with an I.Q. of between 35 to 45: "[People with mental retardation try] to go along with people that they suspect are in authority. For example, I asked [the defendant] where we were when I saw him, and he obviously didn't know, so I asked him if we were in Atlanta and he said `Yes, we are in Atlanta.' In fact, we were in Birmingham, Alabama. I could have said New York and he would have said `Sure, New York' These people are obviously not going to win Nobels anytime soon. But even the guy with IQ 35 - 45 was still talking to people. I think this supports the thesis that intellectually disabled people without specific syndromes can seem pretty normal most of the time. (though keep in mind that anything from the court system should be treated with a grain of salt - defense attorneys have an incentive to exaggerate the intellectual disability of their clients in the hopes that it gets them a lighter sentence) Lyman Stone writes: Emil's post isn't correct, however. We know from the recent Reich lab paper on long-run genetic selection that there was strong selection for IQ in the neolithic revolution, which implies agriculture strongly selects for IQ and ability to plan. Malawians are 60-80% subsistence farmers. Even a "normal" low-IQ person cannot do the implied math and long-term planning involved in this kind of farming. And in fact, economists routinely find that African small-plot subsistence agriculture is actually highly optimized; farmers make very precise choices about where to plant which seeds, which fertilizer to use, etc. Key point is basically: it really isn't true that an IQ 60 person can run a farm functionally. Moreover, mean IQ of 60 implies large shares even lower, at ranges that are uniformly nonverbal even without specific disability. And this is why in the actual record-level NIQ database, they truncate estimates below 60, because even the database managers realize these estimates are crazy. See my post here: https://substack.com/home/post/p-154757665 We know that people with extremely low IQs in the Flynn sense must be capable of subsistence agriculture, because pre-Flynn Effect, most of the West had extremely low IQs, and they were all doing subsistence agriculture. How is this possible? Responding to Lyman’s comment, I wrote: I stick to the claim in this post - that our estimates for what a very low IQ means are poorly-grounded, and that people with low IQs can do some pretty impressive things, especially if they're concrete and part of a cultural transmission package. Maybe this is the Joseph Henrich "Secret Of Our Success" thing. We know that Malawians get poor test scores in school, so it seems like there's some disconnect between do-well-on-tests intelligence and run-a-subsistence-farm intelligence, and the abstract/concrete and novel/cultural distinctions are the best explanation that I can think of. You say that "the phenotype that arises from a given tested IQ in America is clearly vastly worse than the phenotype arising from the same tested IQ in Africa", which I basically agree with. I think part of it is the syndromes issue raised above, and part of it is that maybe Malawians have zero contact with the culture of abstraction that IQ tests come out of whereas even very uneducated Westerners have some contact with it, and maybe another part of it is that whatever health/nutrition issues the Malawians have preferentially harm faculties responsible for more abstract tasks rather than more concrete ones. For an opposite data point, when I was in Haiti, my boss told me (secondhand, no personal experience) of extreme difficulties working with Haitians, like that they couldn't alphabetize files even when that was explained to them. Many Haitains are also successfuly subsistence farmers, so I think this also supports some kind of heavy abstract/concrete distinction. I don't think we're really disagreeing, just agreeing on something like the correlations that make up IQ being less valid outside the normal range. Maybe one way to look at it is to go back to the claim from the justice system document above, saying that people with IQ in the 60s are the mental equivalent of third-graders. The third-graders I know are very into Pokemon, and have all sorts of opinions on how if you add X bonus to a Y strength fire-type Pokemon and then play Z combo, it will [commence six weeks of droning on about different Pokemon cards]. Is this the sort of math/reasoning/strategizing that we don’t expect someone with IQ 60 to be able to do? Does the fact that third-graders can do it mean that we’re miscalibrated? I’m not sure. The part of Lyman’s comment that gives me the most pause is his observation that, if the mean IQ is 60, a decent fraction of people must be 45, and a non-negligible portion 30. At this point, even third-grader comparisons don’t save us. I guess this is where I bring in the claim that IQ breaks down as a guide to practical living skills below some point. You can see several more layers of response between me and Lyman here, but I was especially grateful for him teaching me two things I didn’t already know: First, he corrected my misconception about Reich on ancient European cognitive evolution. Reich had said that pre-agriculture Europeans were “2-3 standard deviations” below moderns. I had interpreted that as IQ deviations of 15 points, making them genetic IQ 55-70, which would have been pretty crazy. Stone tells me he actually meant PGS deviations, each of which was about 3-4 IQ points, so he’s claiming that pre-agriculture Europeans had genetic IQ of 90 (they probably also had lower IQ for environmental reasons).,
23: Related: 54% of the public thinks AGI will be developed in the next five years.
Inline links: thinks
34: Why does China, an advanced economy, have the tap water issues that we associate with developing countries? Maybe because Chinese people near-universally believe that drinking cold water makes you sick, so they all boil their water anyway, so there’s no incentive to have water that’s safe to drink without boiling. I notice there are many things like “Chinese think drinking cold water will make you sick” and “Koreans think you’ll die if you leave the fan on overnight” - is there any health belief that foreign countries make fun of Americans for? (I’m not looking for conspiracy theories about vaccines, more like something we all take for granted).
Inline links: Maybe because
40: The kingslayer jellyfish got its name after killing American tourist Robert King in 2002.
Inline links: kingslayer jellyfish
If America has nukes and is willing to use them, and Russia doesn’t, then America automatically wins every conflict. So if you’re Russia, and you hear America will get nukes next year, what do you do? You either surrender, or try some desperate gambit to destroy their nuclear program.
Likewise, if you’re America, you’ve got nukes, and you know Russia will get nukes next year, what do you do? You can either nuke them now and automatically win, or you give up your advantage and have the whole Cold War. Von Neumann really wanted to nuke them in 1947 and win automatically. We didn’t do that because we weren’t psychos, but the logic is sound.
If everybody realizes this ahead of time, and America is on track to get superintelligence three months before China, then there may be a period where China considers whether to lie down and die, versus do something dramatic (kinetic strikes on US data centers?) In a best-case scenario, this provides an opportunity for a deal, maybe enshrining an peaceful international AI effort. You can decide how likely you think that one is.
Balanced: Systems can fail for many reasons. Sometimes it’s just a hard problem with tradeoffs. Sometimes it’s been perverted from its original goal by special interests. Sometimes it’s some third thing. Usually it’s a combination of all of these. You can’t know for sure until you look at it closely. …then I think the people who use the phrase want to imagine that they’re pushing people from Naive to Balanced. But I think the last person to hold the Naive perspective died sometime in the 1980s, and in real life POSIWID is mostly used to push people from the Balanced to the Paranoid perspective without actually looking at the system involved or arguing the case. And second, the explanation above is just the most popular of about a half-dozen different exegeses that commenters offered. So if you do want to communicate the thing I suggested above - which, reminder, is: If a system consistently fails at its stated purpose, but people don’t change it, consider that the stated purpose is less important than some actual, hidden purpose, at which it is succeeding …I think you should just say that, instead of the confusing version that half of your audience will misinterpret, and which incorrectly implies that this always happens. When people insist on the confusing and inappropriately-strong version, I start to suspect that the confusingness is a feature, letting them smuggle in connotations that people would otherwise correctly challenge. Hopefully this will become clearer as I answer your comments one by one, starting with: Charles Lehman writes (X): The actually useful insight from POSIWID is the negative corollary: there is "no point in claiming that the purpose of a system is to do what it constantly fails to do." This was the original, less-catchy form, but it seems exactly the same to me, and equally wrong. For example, Iran’s intelligence agency consistently fails to prevent Israel from infiltrating and attacking their nuclear program. But it’s very useful to claim that their purpose is to prevent this! If we both try to predict the behavior of Iranian intelligence, and I’m allowed to use the hypothesis “their purpose is preventing Israeli infiltration”, and you’re not allowed to use that hypothesis, I will consistently outpredict you. For example, I’ll be expecting them to interview security staff to see which ones are Israeli spies, try to intercept Israeli communications, and do other espionage activities, and you’ll still be stuck wondering whether they might take up gardening or ballet dancing. The clear, natural language expression of this useful hypothesis is “the purpose of Iran’s intelligence forces is to prevent Israeli infiltration, but they usually fail”. This clear, natural language expression is great and tells you everything that you need to know. POSIWID (or its inverse) adds nothing except an attempt to ban this excellent and communicative expressive technology, in favor of some other vague meaning of “purpose” which can’t hang together and which nobody can really explain. Ersatz writes: “I thought the meaning was more something like “the system took these side effects into account and still considered that what it was doing was net positive in expectation, so the side effects are as much part of the system's purpose as the ‘positive’ outcomes”. This is just diluting the word “purpose” into incoherence. I think it’s useful linguistic technology to be able to say “The New York bus system both transports people from place to place, and emits lots of carbon dioxide. Its purpose is the transportation, and the carbon dioxide is an unfortunate side effect”. If the goal of POSIWID is to insist that no, the transportation and the CO2 emissions are equally purposeful, or that we’re not allowed to talk about that question, then it sabotages our ability to communicate clearly, for no apparent gain. Consider the New York carbon dioxide system, a hypothetical government department dedicated to emitting as much carbon dioxide as possible (why? to own the libs, of course!) Sometimes people drive motorcycles along its vast network of CO2 pipes, allowing them to travel from place to place. Is this exactly the same as the New York bus system? No? Why not? A natural answer would be “Because the bus system is aimed at transportation, but emits some CO2 as a minor side effect, and the CO2 system is aimed at emission, but facilitates transport as a minor side effect.” If your objection is going to be that instead of considering purpose, you should restrict yourself to saying that one transports more people than it emits CO2, and the other emits more CO2 than it helps transport people, you’ve now legislated that we must list exactly how many people the New York bus system transports, and how much carbon dioxide it emits, and how many ants it crushes, etc, every time we talk about it. But most people who talk about the bus system don’t know these statistics, and don’t have to. It’s sufficient (and linguistically convenient) to say “Its purpose is transportation, not CO2 emission or ant-crushing. Andrew Pearson writes: The steelman of the phrase, which might be what Stafford Beer had in mind when he coined the phrase, is that in large complex organisations it's very hard for individual workers to see a link between what they do and the stated purpose of the organisation - people just get on and do what they're told, and orient themselves more towards "doing what they're already doing, just more effectively" than towards "fulfilling the stated purpose of the organisation". I don’t think this is a great steelman. True, the average employee’s actions don’t obviously connect to the organization’s stated purpose. But the average employee’s actions also don’t obviously connect to what the organization does. If the stated purpose of the US military is to protect America, and what it does is bomb Middle Eastern weddings, both of those are equally remote from the day-to-day life of some low-level employee who just counts the number of screws in a warehouse. Aashish Reddy writes: I think POSIWID is best applied to bureaucracies or large structures where the reason bad outcomes occur is not because of difficult battles with reality (like government or hospitals or the Ukrainian military), but because of the way incentives are set up in the system. If someone said, “the purpose of the Civil Service is to drive through new, innovative ways of delivering rapid change!”, that would clearly be absurd. That may be their goal, or how they see themselves; but the purpose of the system is not defined by either of those things. If it was, they wouldn’t incentivise caution and slowness. Whether that’s good or not, the purpose of the Civil Service is best approximated by what it does! I want to pay more attention to the word “goal” in the second sentence of the second paragraph: “[Driving innovative change] may be their goal, or how they see themselves.” It sounds like Aashish think it’s useful to use the word “goal” to discuss what a system is trying to do, separately from what it does or doesn’t accomplish. I agree! I just think “purpose” is a synonym for goal. If you use POSIWID, you have to posit some kind of weird new ontology where “purpose” means the opposite of “goal”. If you don’t use POSIWID, you can just keep the words “purpose” and “goal” having their regular everyday meaning, and describe this state of affairs with phrases like “The goal/purpose of the Civil Service is to deliver rapid change, but due to perverse incentives, its actual effect is to prevent change.” Kay writes: For example, the US policing and criminal justice system and prisons seem to continually over imprisons people in general, and especially people of colour. These systems seem not to be changed, while they ostensibly truly could be. So to me this seems that the system may be working "to purpose" for the actors who want it to work that way. This is interesting because Kay is using a left-wing example: “The criminal justice system imprisons too many people of color, so its purpose is to oppress black people”. But one of the tweets in my original post was close to its right-wing opposite: “The criminal justice system consistently lets criminals off with a slap on the wrist, so its purpose is to get people raped and murdered.” As long as people are thinking in these terms, they’re going to be prey for whichever conspiracy theory best suits their pre-existing prejudices. I think both of these are worse than the Balanced View version: Some people care a lot about keeping people safe from crime, but other people care a lot about the human rights of suspects and convicts. The incarceration rate is a balance between these two forces, with some lesser contribution from sinister forces like private prison owners who want to increase incarceration to line their pockets. This has the advantage of being obviously true (there are pro-tough-on-crime activist groups and pro-soft-on-crime activist groups, they both do effective activism for their chosen cause, and the exact incarceration rate depends on which ones are in the ascendant and have the ear of politicians), and not being a conspiracy theory that forces you to believe that the government is a monolithic entity that really wants people to be raped and murdered. NegatingSilence writes: Come on, obviously "The Purpose of a System is What it Does" is meant to draw your attention to the incentives in cases where something different is happening than is supposed to be happening. My government purposefully raised housing prices for the benefit of people who own assets. They talk about "trying" to make things more affordable, but somehow they only succeeded in raising the cost by 500% in nominal terms. What a curious result. I don’t know what country this person is in. But in my country, housing prices are high because of a combination of all of the following: Citizens want to preserve “neighborhood character”: they currently live in a low-density low-crime low-traffic pretty suburb, they want it to remain a low-density low-crime low-traffic pretty suburb, and they worry that building new homes threatens that status.
the good effect outweighs the bad effect in circumstances sufficiently grave to justify causing the bad effect and the agent exercises due diligence to minimize the harm And I think it’s the second that’s most relevant to POSIWID. If the system could switch to doing the good without the bad, would it happily make the switch? For the cancer hospital: yes! For NEPA: I think not. This is an interesting test, thanks. My only concern is that “if the system could switch” is kind of meaningless. When we ask whether the purpose of a charity is to help the poor, or just to give high salaries to its CEO, the test urges us to ask “If it could switch to helping the poor just as much without paying its CEO anything, would it do that?” What if the answer is “the board, low-level staff, and donors would support this, but the CEO wouldn’t,” and the charity’s actions come from compromises negotiated among these groups? What is the purpose of the charity then? TimG writes: I've seen reports (don't know how true) that NGOs in San Fran get paid a lot of money to solve homelessness. But after billions spent, homelessness is worse. I thought this saying was a kinda reference to that sort of thing: the NGOs are there to collect money by virtue of the fact that there are homeless. Which is not what they are purported to do. My understanding of the situation is that there are many groups. Some are traditional anti-homelessness groups that try to build homeless shelters or something. Others are homeless-rights-advocacy groups that try to prevent the police from doing things which they think violate homeless people’s rights, like forcing them to go to shelters. It’s true that these two purposes are at odds, and that this conflict prolongs homelessness in San Francisco. But I think that thinking of this as a “system” whose “purpose” is to preserve homelessness (because systems actually act in ways contradictory to their goals) makes you less able to understand the dynamics, not more! The build-shelter groups are mostly building shelters! The fight-against-shelters groups are mostly fighting against shelters! Both of them are doing what they claimed to do, and it’s all canceling out. The more you are tempted to think of [the set of both these groups] as a single “system” fulfilling a single “purpose”, the more confused you’re making yourself. Brett writes: I've always thought of the phrase as an argument against the "no true Scotsman" fallacy when it's used in an organisational setting. When there are significant failings of an organisation, the response (within the organisation) can sometimes be: "there are some bad apples working against the purpose of our system: our system is not supposed to do this and the failings are due to individuals and not the system itself". POSIWID then is applicable: you can't claim a system "isn't supposed to" do something, if it's repeatedly doing it on a large enough scale. I don’t think this works. Often failures are because of incompetent individuals. For example, one reason that UK intelligence agencies did such a bad job fighting Communism in the ‘40s and ‘50s was that lots of their staff, including some leaders, were Soviet spies. When those people were replaced, results improved! And there are plenty of stories of companies that turn around once a few bad executives get fired and replaced (eg Apple after Jobs came back). So why would we want a phrase saying that the failure of systems is never because of incompetent individuals? David Henry (blog) writes: It makes the most sense if you don't take it as having anything to do with intentions. The truth at which it gestures is "This system can be relied upon to consistently produce this outcome, just as if it were designed to do so." The point is to suggest that the "unintended side effects" are a direct result of the "rules" of the system, intentionally so or not, and therefore you can't ignore them as one-off incidents, or hope a minor patch will fix it. The system needs to be abolished, or else given a complete overhaul. Obviously the ambiguous phrasing also allows you to assign insanely hostile and nonsensical motives to the outgroup. I would like to think this was not intention of the people who came up with the phrase, but whether it is or not, it can be relied upon to consistently produce that outcome. I agree this is one of many possible meanings it could have which there are much better ways to phrase. Joost de Wit writes: I’d say the hospital is precisely designed to cure 66% of people because it operates within constraints (financial, #doctors, approved meds). A “system” designed to cure let’s say 99% of people would look wholly different. I have occasionally been a low-level representative in hospital administration meetings. I’m trying to to think of what suggestions I could given to “redesign” the hospital to cure 99% of people. “Hey, guys, have you considered having more money?” I guarantee the hospital has considered this. The reason they don’t have more money is that insurance companies won’t pay more for care and donors won’t donate more. Maybe you could bring it up a level, to the US health care system as a whole? But insofar as anyone is in charge here (maybe the Secretary of Health and Human Services), I guarantee that person has also considered getting more money. The reason they don’t have more money is that Congress and the President set their budget and balance it off against their other priorities. Maybe the system is America as a whole? In this case yeah, you could imagine an America redesigned completely around cancer care, where there are sky-high taxes and all the money goes to cancer hospitals, so much so that bridges collapse and the military can’t defend the country anymore because we’re spending all the money on hospitals. But what does it mean to have a “systems analysis” principle which is incapable of accurately analyzing any system smaller than the whole country? Also, shouldn’t we expect a good theory to yield true predictions? My theory is that cancer hospitals want to cure as many patients as possible (given other constraints). If I recommended them a new policy that would increase their cure rate, they might worry about cost or hassle - but if it were low-cost and low-hassle, they’d eventually implement it. But if you recommended a new policy that brought them closer to 66% (“We’re on track to rise to 70% next year, but if we get Dr. Smith to relapse back into alcoholism, we can go back to 66%!”) they would call you insane and fire you immediately and definitely not agree. Since “make cure rates as high as possible” accurately predicts the hospital’s behavior, but “keep cure rates at exactly 66%” doesn’t, why would you describe the second one as the “purpose”? What use is it to accuse them of having a “purpose” which they will never take any action to achieve? But also, what are even we doing here? In real life, nobody says things like “the purpose of a cancer hospital is to keep cure rates at 66%”. Why are people defending this inane statement so hard? This reminds me of the old atheism-religion debates, where some atheist would bring up an awkwardly-phrased Bible statement, and the religious people would contort themselves to say that nooooooo, it’s totally true that the world was created in seven days, as long as you define day to mean “any time period of an indeterminate length”. But at least their motives make sense to me; lots of other things depend on whether Bible verses are true or false. POSIWID was first coined in 2001. Why should people contort themselves to defend this extremely poorly-phrased thing? In this comment thread, people have claimed that the real meaning of POSIWID is: Chesterton’s Fence
Mass emailed the entire American Butchers Association telling them to change their profession, became a god, not sure what to do next. 9: Meta has spent $50 - 70 billion on the metaverse over the past five years. For context, that’s about the GDP of Cambodia, or 1/5 the inflation-adjusted cost of the Apollo Program. Forbes has an update on the state of the technology as of this February: “Looking at . . . the current state of Meta’s VR universe, it is absolutely impossible to imagine a world where this kind of thing is ever going to succeed.”
Inline links: has spent $50 - 70 billion, has an update
54: Cremieux: Novo Nordisk, manufacturer of Ozempic, forgot to pay the patent fee in Canada, and now it’s off-patent there. And an obscure FDA regulation lets Americans import certain drugs from Canada. With a sufficiently permissive legal theory, you could combine these facts into a way for the government to get unlimited cheap Ozempic without technically violating IP laws.
Inline links: Cremieux
48: T. Greer on China’s strategy for invading Taiwan. He argues that the Chinese hope for “something like the Gulf War, where America was able to use air superiority and precision munitions to degrade the internal coherence of the enemy force so decisively that when the actual land force showed up the Iraqis crumple” - and that means the Taiwanese should study the Houthis, who just successfully resisted such a campaign.
Inline links: T. Greer on China’s strategy for invading Taiwan
Americans like to trip up their politicians at town halls by daring them to answer how many genders there are. The Aborigines would not be tripped up. They would immediately answer eight.
Lewis Morgan, the American who first made the discovery, suggested it was a relic of ancient group marriage (cf. grand 19th-century stage-based Theories Of Everything). Suppose that primitive cultures married entire families: a group of brothers from one family marries a group of sisters from another. This might explain the Australian system. If you didn’t know which sibling of a group was your father, then you might want to use the same word for “father” as for “paternal uncle”, for “brother” as “male cousin”, and for “husband” as “husband’s brother”, since there was no way of keeping track of which was which. Extend these principles, and you get something like the Australian system.
This system might seem pointlessly complex, an exercise in building castles in the air. But in the late 19th century, anthropologists from distant lands compared notes and noticed that the Iroquois of North America do the same thing, as do other scattered groups across several continents. So there must be some underlying logic. What is it?
Umberto Eco’s famous essay Travels in Hyperreality about “America’s obsession with simulacra and counterfeit reality”, says this about museums that amalgamate the fake and the authentic: “This brings us to the theme of the Last Beach, the apocalyptic philosophy that more or less explicitly rules these reconstructions: Europe is declining into barbarism and something has to be saved.” The whole essay is a heady mix of wry travelogues and erudite alarmism, which I had a hard time fully understanding (or deciding if it’s cool to quote in this day and age), but this visit to the Met actually kind of made me get it.
To push the idea further, in an age when the process becomes democratically cheap — even if superficially — via generative AI, perhaps we should be less alarmed about the confusion and more about the boredom. Maybe that’s where my nagging doubt comes from when imagining the deep utopia. Again, as Eco puts it, “This is the America ... where Good, Art, Fairytale, and History, unable to become flesh, must at least become Plastic. The ideology of this America wants to establish reassurance through Imitation. … Thus, on entering his cathedrals of iconic reassurance, the visitor will remain uncertain whether his final destiny is hell or heaven, and so will consume new promises.”
Inline links: deep utopia
Donald Trump was chosen by God. You can tell because he's invincible. He can wriggle out of scandals that would sink Tricky Dick Nixon ten times over. He can run on a platform of punishing illegal immigrants, and the illegal immigrants themselves will rally to his banner. He can support Israel harder than anyone has ever supported it before, and Arab-Americans will break fifty years of Voting Blue No Matter Who to march behind him. He can get 100% evangelical backing while oozing contempt for Christianity, 100% libertarian support while trampling the Constitution, and 100% allegiance from Wall Street while dismantling global trade. KKK wizards and celebrity rappers compete to compliment him loudest; Nazis and the ADL jostle past each other to sing his praises. Shooting him in the head only makes him stronger.
To posit Trump's divine election is not to imply he has any positive qualities. When the Israelites stopped obeying the commandments, God punished them by raising an incompetent idolator named Jeroboam to the throne. Jeroboam started a disastrous war that killed 500,000 of his own men, after which his dynasty collapsed and his entire family was slain. Jeroboam was chosen by God to crush and humiliate Israel. But he was chosen by God. Has America been obeying the commandments lately?
In the 1950s, an American Catholic named John Haffert became obsessed with cataloguing Fatima witnesses before they died off; he says he interviewed two hundred of them, of whom twenty-seven make it into his book Meet The Witnesses. Most of Haffert’s subjects are attested in other sources; in one case, that of American witness Dominic Reis, the interview was recorded and is available on YouTube.
Inline links: Meet The Witnesses, available on YouTube
Then it returned to its normal position, and the previously drenched crowd noticed they were miraculously dry. …then almost every testimonial contains some elements of the consensus story, in approximately the correct order. The case for self-contradiction is that very few testimonials contain all six elements: most are a random subset of those claims. Also, nobody can agree on which colors were involved in (4), or in which order. A believer might argue that if you encounter six different miracles in close succession, they all sort of blend together and you might forget one or two in your accounting. Or you might turn to your friend and ask what they think, and while you’re not looking you miss part of what’s going on. A skeptic might argue that if the sun falls to earth and appears seconds away from crushing you and everyone around you is screaming because they think it’s the end of the world, approximately 100% of people should mention that in their account of what happened that day, and if it’s more like 50%, then you have a problem. Here are some interestingly discordant testimonies that I came across during my search: Antonio dos Ramos Mira, local resident: A quarter of an hour after the rain stopped, he saw that huge crowd of people, in great clamor and almost all kneeling, facing the sun, which had unusual signs, turning around, trembling, observing at the same time that a yellow-reddish color had appeared around him, which was reflected throughout the crowd and on the horizon, with at the same time a weakening of light and an increase in temperature. The crowd, even the unbelievers, said that it was a known miracle. This is in the third person because the priest and clerk conducting the investigation are summarizing an account being given by an illiterate peasant. The witness names one color - yellow-reddish - and doesn’t mention the sun falling to earth. Antonio Maria Menitra, local property owner: It had rained heavily in the morning, and a little after noon, the rain stopped, and he observed a large crowd of people kneeling down and looking at the sun. He also looked and saw different colors in the sun and in the people. No mention of the sun dancing, spinning, shooting off sparks, or approaching the earth. Joao Martia Lucio Serra, lawyer: Already in some candid souls arose the fear that the foretold event might not occur, when suddenly the entire immense crowd stirred at the seer's voice in a significant brouhaha of astonishment and wonder, raising their heads to the sky, where thousands of eyes gazed in amazement at the sun in full blue, visible to all, without the intensity of its rays harming the retina and hindering vision, crowned with various colors, in a rapid rotation, at times seeming to detach itself from the celestial vault, approaching the earth. The spectators, looking at each other, represented themselves to each other as yellow, and on the horizon, reddish-orange, wherever their eyes looked, they saw beams of dim light, affecting an oval shape, seemingly placed at equal distances, and reflecting on the earth. Nobody else mentions the “beams of dim light, affecting an oval shape, seemingly placed at equal distances”. Maria Augusta Saraiva Vieira de Campos, local resident: Our sense of discouragement was profound, when suddenly we heard from all sides: Miracle! Look at the sun! The rain had stopped as if by magic; hats were closed; a warmth was felt as if we had entered a heated greenhouse, and the disk of the sun began to be seen, clearly discernible in the brownish layer that covered the entire sky. The heat increased, and the sun seemed to sink lower and lower, presenting new and varied changes. We saw a silvery veil, rounded in shape, as if it were a full moon; shortly after, it turned to vivid purple, then red, then emerald green, and finally took on its original color. Cries were heard from all sides as it emerged from the sun like a white, shining snow-like shape, without harming the retina, coming toward us, returning to the sun again, and finally hiding for the third time among the clouds. Everyone wept, and prayers, supplications, and acts of faith were heard from many mouths. Now something is coming down off the sun, instead of the sun itself coming down. Also, the colors are purple → red → green. Goncalo Xavier de Almeida Garrett, mathematics professor: 1st: The phenomena lasted about 8 to 10 minutes; 2nd: The sun lost its dazzling brightness, taking on the appearance of the moon and being easily seen; 3rd: The sun, three times during this period, manifested a rotational movement on its periphery, flashing sparks of light on its edges, similar to what happens with the well-known firework wheels; 4th: This rotational movement of the sun's edges, manifested 3 times and 3 times interrupted, was rapid and lasted 8 or 10 minutes, more or less; 5th: Next, the sun took on a violet color and then an orange, spreading these colors over the earth, finally regaining its brightness and splendor, impossible to be seen with the eyes; 6th: It was shortly after noon and near the zenith (which is very important) that these facts occurred. Do mathematicians really number everything they say like this? We saw this account earlier, and in most ways it matches the consensus story. But even though he’s trying to be methodical, he totally fails to mention the sun descending to crush the world. Instead, it’s the rotational movement that happens three times. Also, the colors are violet → orange Luis Antonio Vieira de Magalhaes e Vasconcelos, nobleman: I was absolutely convinced that I would see nothing. I then remembered, as I had remembered many times before, that principle of Gustave Le Bon, which boils down to the hypnotic current that dominates it. I had to be cautious, not to be influenced. This friend of mine, taking out his watch, said to me: there are five minutes left, at one o'clock look at the sun, that was the time announced by the shepherdesses, then you will tell me. My friends shout to me: look, look, but at first I only saw clouds drifting by, leaving the sun uncovered. Suddenly, I see an intensely pink rim, surrounding the sun, which resembled a disc of dull silver, as someone once said, while giving me the impression that it was moving from its original position. Diaphanous, vaporous clouds, somewhat purple, somewhat orange, permeated the air. At various points along the horizon, contrasting with the leaden hue of the sky, I also saw pink and yellow spots. The clamor grew louder and louder. This didn't last seconds: perhaps minutes. As I observed these manifestations, which I never doubted for a moment were due to the Infinite Omnipotence of God, an indescribable impression came over me. Here are the silver disc and the unusual colors (here “pink, purple, and orange”). But the colors are now merely “clouds” and “spots”, and there is nothing about spinning, dancing, or falling to earth. Antonio de Paula, pilgrim from Lisbon: Suddenly the priest looks at the sun and says that the sun in eclipse was not like that. The deponent also looked and saw that the sun gave no light; a white mist hung over it, it was a dull moon. The sun was to the left, with the rest of the sky obscured. Taking his eyes off the sun, he saw the people a very bright red color; and he exclaimed: "Oh, gentlemen, how the people are all red!" And the priest replied: "Are they red scarves?" To which he remarked: "How can that be? So they had all agreed to have red scarves on their backs?!" Then the people appeared the color of gold. The sun's rotational movements were not visible to them. The people on that occasion cried out loudly, kneeling with their hands raised, shouting for Our Lady, not caring about the thick mud, repeatedly invoking Our Lady. The people's impression was extraordinary. This person saw the silver moon-like sun and the color changes (here “red” and “gold”), but nothing else. He explicitly mentions not seeing the rotation. Luis de Andrade de Silva: The globe of the sun, similar to a disc of dull silver, rotated around an imaginary axis, and at that moment, it seemed to descend through the atmosphere, towards the earth, accompanied at times by an extraordinary brightness, and by an intense heat. The sun's rays were said to have yellow, green, blue and purple colors, but I only noticed the yellow color. After a few minutes, during which these phenomena occurred, no one could look at the sun anymore, because its rays hurt the retina. Only those who witnessed these phenomena can evaluate what happened then, but cannot describe them exactly. He says that although he heard other people mention yellow, green, blue, and purple colors, he only saw yellow. Dominic Reis, American traveler: The sun started to roll from one place to another place, and changed blue, yellow, all colors! Then we see the sun come toward the children, toward the tree. Everybody was hollering out. Some start to confess their sins, ‘cause there were no Priests around there . . . even my mother grabbed me to her and started to cry, saying, ‘It is the end of the world! And we see the sun come right into the trees. And then the little children get up and turn around to the people and told the people, ‘Pray and pray hard because everything is going to be all right.’ This person says the sun didn’t merely fall to earth, but went to the children (ie the child-seers) and the tree (the oak where the Virgin was appearing) in particular. At one point, it is specifically located “right [in] the trees”. But in this account, I am getting the impression that the “sun” is some sort of UFO-like object, maybe the size of a large helicopter, which is in a particular place. I can’t tell if other witnesses also thought this and just didn’t describe it clearly, or whether this testimony is discordant. The interviewer (Haffert again) notices this, and asks whether Reis really thinks it was the sun; Reis gives a weird non-answer (“Well, for my part it was the sun . . . but whether just a light or not, there was something there. I know for sure.”) Dominic Reis, continued from elsewhere in his account: As soon as the sun went back in the right place the wind started to blow real hard, but the trees didn’t move at all. The wind was blow, blow and in few minutes the ground was as dry as this floor here. Even our clothes had dried. We were walking here and there, and our clothes... we don’t feel at all. The clothes were dry and looked as though they had just come from the laundry. I believed. I thought: Either I’m out of my mind or this was a miracle, a real miracle. Although many people said their clothes were miraculously dry, Reis is the only one who mentions a miraculous wind. Everyone else says their clothes were dried by a miraculous heat. Reis does not mention heat. Maria dos Santos On October 13th, when Lucia said: "Our Lady is coming!", one of the deponent's daughters, named Maria, was standing on a rock, a meter from the holm oak tree, on the east side, to guard the bow so the people wouldn't damage it. The girl felt a blow to her face, saw a beautiful light near her, and cried out: "Oh! Our Lady!" The deponent looked and saw a star, a ball, not entirely round, like an egg, very beautiful, with the colors of the celestial rainbow, but much more vivid, with a tail of one and a half meters of brilliant colors. It passed very quickly and close to the holm oak tree, and disappeared a hand's breadth from the ground. She saw the sun sinking low. This is maybe the same UFO-like object that Dominic is reporting. In some of the other Fatima apparitions, the Virgin appears to those who cannot see her true form as a ball of light that comes to the tree where the child-seers are waiting. So maybe there were two things going on - the sun in the sky, and a ball of light (the apparition itself) heading back and forth to the tree. Still, if these are really two different phenomena, only these two accounts mention the second one. I don’t really have much that is non-obvious to say about these discordant testimonies. Aside from the ones with the UFO-like object, they seem about as discordant as you would expect from panicked people seeing a real inexplicable phenomenon - with the exception of some people who are absolutely terrified by the falling sun, and other people who don’t mention it at all. 1.4 Dalleur And The Distant Testimonies Maybe the only interesting advance in Fatimology in the last fifty years is Dalleur (2021), the focus of Muse’s Substack post. Dalleur is a philosophy professor at the Pontifical University in Rome, but clearly a multi-talented individual. He seems to lean toward the “miracle” explanation, but asks a fruitful question that nobody else seems to be considering: if it was a miracle, how was it implemented? That is, the real sun obviously didn’t change color or move - this would have been visible around the world, and would probably have fried the Earth. So what did God or the Virgin do, exactly, to produce the appearance of a moving sun? We can imagine two possibilities. First, they could have implemented the miracle through a “prophetic vision”, where they inspire a sort of mass hallucination in the onlookers. Second, they could have created some kind of objectively-real fiery wheel object in the skies above Portugal, and arranged for people to mistake it for the sun. If they did the second, we should be able to pin down where exactly they created it by triangulating distant testimonies Dalleur and I both found four of these: Joaquim Lourenco, schoolboy, 9 miles from Fatima: I feel incapable of describing what I saw. I looked fixedly at the sun which seemed pale and did not hurt my eyes. Looking like a ball of snow, revolving on itself, it suddenly seemed to come down in a zigzag, menacing the earth. Terrified, I ran and hid myself among the people, who were weeping and expecting the end of the world at any moment. It was a crowd which had gathered outside our local village school and we had all left classes and run into the streets because of the cries and surprised shouts of men and women who were in the street in front of the school when the miracle began. There was an unbeliever there who had spent the morning mocking the ‘simpletons’ who had gone off to Fatima just to see an ordinary girl. He now seemed paralyzed, his eyes fixed on the sun. He began to tremble from head to foot, and lifting up his arms, fell on his knees in the mud, crying out to God. But meanwhile the people continued to cry out and to weep, asking God to pardon their sins. We all ran to the two chapels in the village, which were soon filled to overflowing. During those long moments of the solar prodigy, objects around us turned all colors of the rainbow... When the people realized that the danger was over, there was an explosion of joy. Albano Barros, young boy, 12 miles away: I was watching sheep, as was my daily task, and suddenly there, in the direction of Fatima, I saw the sun fall from the sky. I thought it was the end of the world. I was so distracted that I remember nothing but the falling sun. I cannot even remember whether I took the sheep home, whether I ran, or what I did. Guilhermina Lopes da Silva, local resident, 16 miles away: I could not go [to Fatima] because my husband was an unbeliever. I was looking toward the mountain at noon when suddenly I saw a great red flash in the sky. I called two men who were working for us. They, of course, saw it, too. Afonso Vieria, famous writer, 30 miles away On that day of October 13, 1917, without remembering the predictions of the children, I was enchanted by a remarkable spectacle in the sky of a kind I had never seen before. I saw it from this veranda… Dalleur pins these on a map, which I’ve edited slightly for clearer labeling: The furthest report is 34 km (21 miles) away from Fatima, so Dalleur concludes the phenomenon was visible from about this distance. Further, all witnesses outside Fatima said the phenomenon was coming from the direction of Fatima, not from the direction of the sun (which in some cases was directly opposite Fatima)! By triangulating the accounts, Dalleur estimates that the miraculous light source which appeared to be the sun: was probably located above the hills a few km south of the Cova da Iria [in Fatima]. …ie at the spot indicated by the black sun sign in the purple circle on the map. Dalleur moves on to analyzing photographs of the event: He tries to estimate the angle of the shadows, and, from there, the angle of the light source. I cannot entirely follow his calculations, but he finds that there are two light sources - a diffuse source at about 42° elevation, and a point source at about 30°. The 42° source corresponds to the elevation we would expect the sun to be at in southern Portugal on October 13 around solar noon. It’s diffuse because it’s hidden behind clouds, just as it was all morning. So what is the 30° light source? Dalleur suggests it’s whatever object the witnesses are describing as spinning, moving, and changing color. They’re mistaking it for the sun because the real sun is hidden behind clouds. For a bright round sun-sized object in the sky during the day not to be the sun, isn’t really in most people’s hypothesis space. The paper stops here, but I’m not sure why. Given a distance, an angle, an apparent size (the size of the sun disc), and basic trigonometry, you should be able to calculate the object’s elevation and true size. Do this, and you find that the light source is two miles high and about 200 feet in diameter. That’s about the size of a 747, at about half the 747’s usual cruising altitude. What, who did you think God drafted to play “terrifying spinning fiery disc”? 1.5: Making Sense Of The Testimonies The multitude of testimonies of Fatima may trick us into thinking we understand what the miracle looked like. This complacency deserves to be challenged: “The sun looked pale, like the moon, and was painless to gaze upon”: Most sources treat this as the first aspect of the miracle. Several talk about how unbelievers are going to think it was just fog, but this can’t be true, because the edge of the solar disc was clearly defined, or there was no fog halo, or some other reason like that - and therefore even this first step was clearly miraculous. I feel like I’m going crazy here - I see this regularly! Not often, but a few times a year. When the sun is sort of halfway behind certain types of thin cloud, it looks pale like the moon (I remember, as a child, being uncertain about whether the full moon was somehow out during the day and visible through clouds), is painless to gaze upon, and has a clearly defined edge. Am I hallucinating? I decided to resolve this the same way the new government of Nepal chose its prime minister - via Discord poll: Here’s one of the hits for “sun behind clouds” on Google Images: I don’t know if this is a real picture or used lenses or something, but it’s pretty true to my experience. So why does every previous commentator act as if this is some cosmic mystery to be explained? A few people argue that (although it was a generally cloudy day), the mystery is that the clouds were nowhere near the sun at this point, so they couldn’t have been causing the unusual pallor. But the majority of witnesses say the clouds were absolutely near, or veiling, or even covering the sun. Stanley Jaki makes this a central point of his book, saying that “The great majority of eyewitness accounts, and certainly the most important ones, contain emphatic references to the continued presence of clouds.” I’m going kind of crazy here. I notice that the holdouts on my Discord poll disproportionately come from my non-Californian friends - is this rarer in other locales? I’m not sure. In any case, I will not count this as being one of the mysterious aspects of the miracle requiring explanation. “The sun was spinning”: How can a featureless disc be seen to spin? Despite this being one the most commonly-reported aspects of the miracle, almost nobody explains this point. Some say that only the rim was spinning, but this has the same problem. However, several people compared the sun to a “firework wheel”, also called a “Catherine wheel”. Here is a video of this object, which apparently was well-known in the Portugal of the time: Stanley Jaki relates a story about a priest having this same question and grilling a witness; the witness finally claimed that the sun traced a circle (like a basket in a Ferris wheel) rather than merely rotating. But this contradicts several claims that it “rotated around its own axis”, and I wonder if the witness was intimidated by the seeming contradiction in her story and was trying to weasel out of her own confusion. If we treat the miracle as the result of some kind of illusion, this becomes slightly easier to explain; there are plenty of visual distortions that look like a spinning motion, and since it is the visual field itself that is spinning, rather than any particular object, it can be seen whether the object is a disc or not. “The sun seemed to fall to earth”: In what sense did it seem like this? If the sun had simply gone down in the sky, people would have said it was setting, the same way it does every evening. One witness does say this. Most other witnesses say it was terrifying, and they felt like they (as opposed to other people living near the horizon) were about to be crushed. If the sun had simply gotten bigger - wouldn’t people have just said it looked bigger? Isn’t this a more natural way to record that the sun’s disc seemed to expand? Fr. Jaki combs his selection of witness accounts (larger than mine), but is only able to find one person who says “it got bigger” in so many words, compared to the dozens who talk about it looming, or falling to earth. Some people say that the sun “left the sky” or “left its place in the sky” at this point. In what sense? If the object that appeared to be the sun at Fatima had been visible as an object of a particular size (let’s imagine it as a flying saucer), then not only would this have been remarked upon, but it would have appeared to threaten some parts of the crowd in particular (that is, a descending saucer would look like it was about to land on some specific area). But this is not the consensus description, and several people say they thought the sun might crush the entire world. Several witnesses say it approached Earth with a jerky or zig-zag motion. If I imagine something else approaching Earth - let’s say a jumbo jet or asteroid - I can tell that it’s approaching rather than getting bigger because there’s multiple components to its trajectory that let me separate size change from forward movement. When I think of this aspect, I imagine the sun very suddenly growing in size and brightness to take up a substantial fraction of the sky (maybe >50%?!), maybe with some jerky motion on the side. Although it’s hardly scientific, I was charmed by John Touhey’s project of trying to visualize the miracle by using witness descriptions as prompts for ChatGPT. His work is a year old, and so several GPT iterations out of date. When I repeat his work with the current version, I get these: Interlude: The Anti-Clerical Union As mentioned briefly before, 1910s Portugal was in a period of transition. In 1910, a group of proto-socialist revolutionaries overthrew the monarchy. The monarchy and church had been in cahoots, so the revolutionaries cracked down on Catholicism, closing the monasteries and persecuting the churches. This was a bold move - only an upper crust of educated urbanites were proto-socialist, and 99%+ of the country identified as Catholic, albeit at various levels of religiosity. In the 1920s, conservatives would regain the upper hand, overthrow the proto-socialists and restore a pro-church dictatorship. Still, the small urban educated ruling class of 1910s Portugal was a hotbed of atheistic anti-church sentiment. Probably the child-seers of Fatima were only dimly aware of this, but their prophecies were a spark entering a powder keg, and many of the more worldly witnesses were aware of this context. While reading through Fatima-related documents, I came across some pamphlets by Grupo Anticlerical, one of the era’s leading atheist organizations. They are totally irrelevant to our primary goal of trying to figure out what’s up with the miracle. But I love them so much that I can’t resist adding one as an interlude. I have slightly edited the machine translation for clarity and readability: To defend the sacred freedom of conscience—guaranteed by the original Law of Separation of Church and State—from the furious attacks of implacable Jesuitism—the greatest enemy of all human happiness!—the Anticlerical Group was organized in this town, similar to what is being done in many parts of the country! This was necessary. They call us to fight. We present ourselves courageously! The great, formidable battle of progress against Ultramontane Reaction, of Freedom against Tyranny, of Truth against Lies is waged again with enthusiasm and ardor! The redemptive dawn that the Portuguese people saw emerge on October 5, 1910, is about to be eclipsed, intercepted by the immense flood of black cassocks!... But in the dark night that seeks to envelop Reason; where moral suffering takes on tragic proportions in a frightening asphyxiation, the Light will once again break through!... the consoling light of elevated spirits... and like a sinister scarecrow, the grim reaction will flee in terror! Liberal people! Hear us! This fight is terrible! Many of our people will perhaps be crushed and tortured on the battlefield, but what does it matter?! Every war against reaction is a holy war because it frees consciences from the clutches of their enemies!... It is the fight of Justice against Iniquity, of Love against Hate, of Good against Evil!... To the fight, then, for the Progress that makes life beautiful; for the Freedom that redeems the people; and for the science that guides us all as an eternal beacon to the Light of Truth! Gago Coutinho and Sacadura Cabral [two Portuguese aviators who had recently flown across the Atlantic] are prodigious spirits before whom our souls kneel religiously – boldly breaking through the air with the mathematical certainty of someone who knows the path to be taken to get from one point to another determined point; flying through the immense blue as sure of their route as any of us walking on earth, they showed us that Science is not an empty word! The power of their prodigious sextant, the fruit of immense scientific lucubrations, is more real and positive than the cross of Christ painted on their device, which could not even have saved them from falling due to lack of gasoline in the middle of the sea at the mercy of the waves. Their extraordinary journey, an adventure which moved us to tears, was the most resounding scientific victory of recent times! It was, above all, a powerful affirmation of science! Let us therefore make science our religion, for scientific religion is Freedom of Thought! To be a Free Thinker is to love immortal science, eagerly waiting for it to reveal to us the truth of the great enigmas of the Universe! And only it can reveal them! People! Let us always fight! From the victory of progress, science, freedom, and free thought, will result human happiness, joy, love, fraternity, respect for women, veneration for mothers, adoration for children, affection for the elderly, protection for the sick, the unfortunate, the tortured. The victory of reaction, of clericalism, of black, cruel and ferocious Jesuitism will result in: the gallows, the acts of faith with their human destruction, persecution, exile, robbery, arson, the deflowering of women, the killing of children, the monstrous torture of all free spirits! The history of so many crimes committed in the name of God horrifies us! The Inquisition, relentlessly slaughtering, tearing, and burning the flesh of so many victims, is still today, in the twentieth century, a sinister specter haunting us!... O most holy mothers! O holy, pious mothers who so love your sweet little children! Have compassion on your beautiful little children, sacred fruits of your blessed wombs: Love Freedom! Love Liberty, O loving mothers, immaculate saints of our altar! We pray for them... for your children, who are the light of your candid eyes, the life of your life... for little children... for all children, tender rosebuds that retrogression furiously lashes, – love Liberty!. And you, O parents! Heads of families who so tremble at your loved ones, snatch them from the merciless clutches of the reactionaries who twist their brains and kill their reason! Hear us all, men, women, and children; listen: Freedom writhes in horrible convulsions... it vibrates in space, echoing from mountain to mountain, an anguished cry for help!... It is Freedom that falls, annihilated! It is Freedom that dies in the bloody clutches of Jesuitism! The Miracle of Fatima, people, is a ridiculous lie, it is a comedy, it is not religion! Come on, liberals! Let us all rise up from this criminal apathy and, without delay, fight not the religious sentiment of the Portuguese people, such a good people, a race of heroes, but rather the exploitation that clericalism is inflicting on the people, foisting upon them, at a good price, images of the saint —trademarked to avoid competition from other vampires! —the shamelessness!—and leading them, through suggestion, to wallow and drink madly, the miraculous water, foul, filthy water, full of rot, pus, and pestilent microbes that the sore flesh of the sick leaves deposited there in the washings! We, all as one man, will fight the reaction, forcing it to retreat and thus, with our efforts, we will save the Republic and the Portuguese Land from its fatal annihilation! … …anyway, Interlude over, let’s get back to the miracle. 2: The Skeptical Explanations Re-invigorated by the rousing prose of Grupo Anticlerical, can we come up with a materialist explanation for the sun miracle? 2.1: Pilgrim, Avert Thine Eyes Starting in October 1917, doubters have focused on one obvious possibility: staring at the sun is harmful to your health. If you stare too long, you go blind. If you stare just slightly less long than that . . . maybe something strange happens? Just to get a particular theory out there: everyone knows that if you stare at a bright light source for a few seconds, you get a temporary afterimage - often pink or bluish-green - on your retina. Suppose the pilgrims stared at the sun. Their eyes would inevitably make microsaccades - small natural jerking motions - and the afterimage would appear somewhere slightly different than the true sun. This might look like the sun turning pink or blue and moving in a zig-zag pattern. Believers in the miracle counter this proposal in several ways. First, although it might explain the sun changing colors and dancing, it doesn’t give an explanation for spinning, sparkling, or falling to earth and threatening to crush everybody (exactly three times in a ten minute interval, no less). Second, although witnesses describe the sun changing color, they also describe everything around them changing color to match the sunlight, which doesn’t match localized afterimages. And one scientifically-minded witness specifically describes closing his eyes to see if there was a persistent afterimage; he says there was not. Third, there are no reports of eye injuries or blindness from a crowd that was, supposedly, staring straight at the sun for ten minutes. This is a good match to witness reports (that the sun was unusually pale and didn’t hurt to look at) and with Dalleur’s theory (that it wasn’t the sun). But it’s a bad match to any theory depending on eye injuries. Fourth, this would require Portuguese people to be total idiots. Everyone already knows bright lights cause afterimages. Surely if you stare at the sun for ten minutes and get some afterimages, you’re not going to freak out and start screaming about miracles and the end of the world. Even if the peasants had somehow remained ignorant of afterimages their whole lives, the scientists and doctors in attendance wouldn’t be fooled. If we are to keep this theory, maybe we should posit some retinal phenomenon much stronger than the ones we know. Everyone thinks they know how much an illusion can fool you - “yeah, okay, obviously the cookie that looks very slightly bigger will actually be the same size” - which is exactly why the really good ones, like the Checker Shadow Illusion, come as such a shock. Squares A and B are the same color. Source: Checker shadow illusion. There’s no way around it: we need to hear from someone who has stared directly into the sun. August Meessen was a physics professor at a Catholic university, which sounds like exactly the job profile we want for this sort of thing. He found himself sufficiently interested in the Fatima miracle to stare straight into the sun for a few minutes and record what happened. From his paper: In November 2002, I looked directly into the sun, at about 4 p.m. The sun was relatively low above the horizon and its light intensity was attenuated, although the sky was clear. I was able to look right into the sun and was amazed to see that the sun was immediately converted into a grey disc, surrounded by a brilliant ring. The grey disc was practically uniform, while the surrounding ring was somewhat irregular and flamboyant, but did not extend beyond the solar disk. It coincided with its rim. I stopped the experiment, since I wanted to be prudent, but I had experienced myself the initial phase of a typical “miracle of the sun” and I could explain it. The sun became grey, since my eyes immediately responded to its great luminosity by an automatic reduction of their sensitivity. This adaptation is not simply due to the bleaching of pigments in the colour-sensitive cones of the fovea, where the image of the sun is projected, but to secondary processes. By “initial phase”, he means the part where the sun looks pale and well-defined, like a full moon. This isn’t something I think needs explanation (see above), but he sure has explained it. Moving on: In a second experiment, realized at 3 p.m. in December 2002, I looked straight at the sun during a much longer time. After some minutes, I saw impressive colours, up to 2 or 3 times the diameter of the sun. They changed, but were mainly pink, deep blue, red and green. Further away, the sky became progressively more luminous. I stopped there, since I understood that these colours resulted from the fact that the red, green and blue sensitive pigments are bleached and regenerated at different rates. This is frustratingly vague. Are the “impressive colors up to 2-3 times the diameter of the sun” just the normal aftereffects of staring at a bright object? Or something surprising even to physics professors? And the spinning? What about the motions of the sun? I didn’t see them, because I didn’t look at the sun for a sufficiently long time or my brain knew already too much. Once, after I had been looking at a very long passing train, I had (for about 30 seconds) the illusion of an opposite motion. Joseph Plateau discovered that when we look at the centre of a spiral that is rotating at some given velocity about this point, and when we stop this rotation, we see a reversed rotation. It lasts for several minutes, although in reality, there is no motion at all. This is a good example of motional after-effects. The “dance of the sun” is initiated, however, by a spontaneous generation of apparent motion. This feels suspiciously like a just-so story. His explanation for the sun falling to earth to crush everyone - which he also did not see - is equally ad hoc: A very interesting study was recently devoted to this “zoom and loom effect”. It tends to appear when the brain is confronted with the two-dimensional retinal image of an object that is situated at some unknown distance. The brain will then consider the possibility that it could come closer, by performing an illusory mental zoom, where the apparent size of the object is progressively increased. This results from the fact that evolution preserved the tendency to take into account the possibility of a dangerous approach: a rapid evasive action could be beneficial for survival. If true, it sounds like you should be able to generate this effect not just by staring at the sun (ill-advised, causes blindness), but by staring at the moon. I would like to test this, but unfortunately I am writing this on the night of a new moon; I’ll check back in two weeks. Still, I am skeptical that no human being living before 1917 AD ever figured out that staring at a celestial body long enough would make it appear to fall to earth and crush you. Compare to much gentler illusions - like how the moon looks bigger right when it starts to rise - which everybody knows about. I was able to find a thirdhand report (Fr. Stanley Jaki → G. J. Strangfeld → consultation with bishop) of another sun miracle investigator, one “Professor Dr. Stöckl” in Germany, who made a similar experiment: After almost a minute (the time varies according to the condition of the atmopshere and the momentary condition of the eyes) one thinks to see a dark blue disk in front of the sun (this is already a sign of the highly excited state of the retina). According to my experience … this dark blue disk is somewhat smaller than the solar disk, so that the edge of that disk stands out as a ring beyond that dark blue disk. Then one has right away the impression that the solar disk rotates with great speed in one or the other direction. This I have experienced often enough. All this is a subjective appearance that has nothing to do with the external world. These reports are suggestive, but weaker than all but the barest Fatima testimonials. Dr. Messeen admits as much, saying that “I didn’t look at the sun for a sufficiently long time”. Can we find people even more committed - or reckless, or masochistic - than Professors Messeen and Stöckl? Absolutely yes: there was a whole subfield of late 18th / early 19th century psychophysicists who experimented with staring at the sun for long periods, many of whom went blind. Joseph Plateau (1801 - 1883, went blind in 18432) summarizes their work in his aptly-named On The Contemplation Of Bright Objects. He lists twenty-six scientists who tried staring at the sun for a really long time. Most describe what we now recognize as typical retinal afterimages, and Plateau spends most of his time talking about how long these last and what colors they pass through. The only one of Plateau’s sources who reports anything even slightly interesting to us is Robert Darwin (father of Charles; cf. Secrets of the Great Families). After stating that: The author has frequently observed that when he gazed at the midday sun for a long time, until its disk appeared pale blue, he saw a bright blue specter on other objects for more than two days. …he mentions how When looking at the meridian sun as long as the eyes can well bear its brightness, the disc first becomes pale, with a luminous crescent, which seems to librate from one edge of it to the other owing to the unsteadiness of the eye. Here is pallor, and at least a hint of motion. But it’s pretty different from spinning, and not really clear how it relates to the sun miracle. Gustav Fechner (1801 - 1887, went blind in 1839) may have stared for even longer; you can read more of his story - including his ensuing insanity and subsequent attempts to found a new religion - on Adam Mastroianni’s blog. But all that he records about his ill-fated experiment is that: …after looking at the sun through homogeneously colored lenses, if you close your eyes, the primary impression remains for a long time and the entire afterimage usually disappears without a complementary coloration having clearly emerged. These people are great, and they all sound like minor Sam Kriss characters. But after whole careers dedicated to staring at the sun much longer than any normal person would ever try, they report only the barest hints of odd phenomena. Indeed, if anything they saw less of interest to the Fatimologist than Profs. Messeen and Stöckl. Worse, all of these authorities saw their phenomena after seconds to minutes of deliberate staring. Surely if it had taken a minute of staring at the sun before anything happened, some of our eyewitnesses would have mentioned this; after all, several mention that they were starting to doubt after the child-seers’ deadline had passed a few minutes earlier. But by all accounts, the miracle was near-instantaneous. Although Messeen and Stöckl’s reports of miracle-like phenomena are intriguing, it doesn’t seem like they can be the whole picture. Let’s move on. 2.2: Aurora Borealis? At This Time Of Year? In This Part Of The Country? Localized Entirely Within Your Kitchen? Could the miracle at Fatima have been some kind of weird weather phenomenon? The main argument against is that if it were a common weather phenomenon, it would not have awed and terrified tens of thousands of people. But if it were a rare weather phenomenon, then the seers’ successful prophecy that the rare weather phenomenon would happen at solar noon on October 13 1917 becomes almost as impressive as an outright miracle. The argument in favor is that dozens of people have written books and papers about this possibility, we would feel remiss if we didn’t mention them, and anyway it gives us the opportunity to look at pretty pictures of interesting weather phenomena. This is a sun dog. It’s caused by ice crystals in the upper atmosphere that refract sunlight in a very specific way. It’s very cool, but aside from a resemblance to a wheel, it looks nothing like the miracle of Fatima. A sun dog doesn’t have any unusual colors, it doesn’t change size, and it doesn’t spin (I’ve embedded a YouTube video not because a still image would be misleading - it wouldn’t be - but just in case you want to see for yourself how completely motionless it is). It’s just a halo shape with two smaller illusory suns on either side of the real one - something which no one at Fatima reported. (source) This is a solar corona3; cloud iridescence is a related phenomenon. I don’t know how much work the exposure length is doing in this particular photo, but I’m guessing more than zero. Coronae are also very pretty, and might explain the description of wheels and colors. They seem surprisingly common for something that I can’t ever remember seeing, supposedly happening several times a year in most locations. But they don’t spin, the colors don’t change or stain the surrounding landscape, and they don’t fall to earth and crush people. Let’s keep this one as a backup option and move on. This is a dust storm. Steuart Campbell wrote a paper arguing that the miracle was caused by one of these, and I admit if I saw this I would start praying pretty hard. Dust storms can change the color of the sun (including unusual colors like green or blue). And very, very charitably, whirling dust could look like the sun itself spinning around, and the thickening and thinning of dust could look like the sun approaching or receding. But this would require a dust storm localized to a 20 mile region of Portugal which does not, technically, have any dust (and where it was, technically, raining at the time). Campbell proposes that perhaps a storm blew a 20 miles x 20 mile dust cloud from the Sahara out to the Atlantic, then onto Fatima for ten minutes during a break in the rain, then back to the Atlantic again. But I don’t think any dust storm has ever behaved in quite this way. If it did, it probably wouldn’t be at the exact moment predicted by child-seers months in advance. At this point, we might as well talk about literal meteors. The way I’m imagining it is this: as a meteor approaches Earth, it breaks up into three big parts and a host of smaller particles. They strike the atmosphere head-on, from the approximate direction of the sun. The small particles hit first and make a firework show. Then the three big pieces hit, producing multicolored fireballs (meteors can absolutely stain the sky bright colors - see the video). Finally, they burn out a few miles above the ground, , convincingly producing the appearance of the sun falling to earth and nearly striking the spectators. This could even explain the warmth and dry clothes - a local meteor strike produces a lot of heat! I like this because it’s the only one that takes seriously the facet of the event which most impressed the witnesses - the part where it looked like the sun was plummeting to earth and about to kill them. But against it: would a rain of micrometeorites really look like the sun was “dancing”, “spinning”, or “zig-zagging”? Aren’t most nearby meteor strikes very loud? (the Fatima event was, according to witnesses, silent) Don’t they usually break windows? Aren’t most meteor strikes of this size visible for hundreds of miles, not just the twenty miles from which we have witness testimonies? Wouldn’t the strike have to be remarkably head-on, and remarkable close to the position of the sun, in order to look like a solar phenomenon rather than a long streak? Aren’t most meteor fireballs visible for between a few seconds and a minute, not the ten minutes of the Fatima event4? And if there were some extremely unusual meteor strike that was the exception to everything, wouldn’t it still be pretty surprising for it to happen at the exact time and place predicted by child-seers months in advance? We come to the unpromisingly-titled Derivation of equations of the model of the dynamic behavior of the three-dimensional atmospheric cloud of electrically charged ice crystals under the influence of electrostatic forces, in which Artur Wiroski argues that Fatima was a three-dimensional atmospheric cloud of electrically charged ice crystals under the influence of electrostatic forces. Actually, he offhandedly mentions Fatima in three sentences, with the majority of the paper looking more like the image above - but he eventually makes it into a Guardian article where he emphasizes that yes, he is trying to explain the miracle of the sun. However, if I’m understanding him correctly, he says that his theoretical ice crystal phenomenon can only happen when the sun is at an altitude below 22 degrees. But during the Fatima miracle, the sun was at 42 degrees (and Dalleur’s mysterious light source was at 30 degrees), so none of this applies. I’ve tried to include pictures of all the phenomena I mention in this section. I failed for this one, because it’s never been spotted or photographed. It’s just some incredibly weird thing that one scientist says ice crystals might do if parameters were ever exactly right, with such a precise definition of “exactly right” that it’s never happened in real life. If it ever did happen, it probably wouldn’t be at exactly the moment predicted by child-seers several months in advance. 2.3: Everyone’s Mad Here Except You And Me Another common response calls the Sun Miracle a “mass hallucination”. Can 70,000 people really hallucinate the same thing? “Mass hallucination” on Wikipedia redirects to List Of Mass Panic Cases. The Miracle of the Sun is on there, but listed as “(disputed)” - the only item to earn such a parenthetical. The other fifty items mostly belong to three categories: A disease with unusual symptoms spreads through a population; doctors eventually pronounce it psychosomatic.
Inline links: Dalleur (2021), https://substackcdn.com/image/fetch/$s_!NeXK!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ffebd07d1-3975-4603-8c98-8ca3707ec2b8_612x447.png, https://substackcdn.com/image/fetch/$s_!SjQ8!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F79b42000-faa4-443f-8a5c-7f000582410e_657x459.png, https://substackcdn.com/image/fetch/$s_!XQWF!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F4f301773-b8b8-45c1-99c3-908c5b5f5524_1145x1192.png, Nepal chose its prime minister, https://substackcdn.com/image/fetch/$s_!-qHG!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6cbf5f49-7c02-4d1d-9b2c-b3ea2ff962f5_656x235.png, https://substackcdn.com/image/fetch/$s_!AM8u!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F852624ae-e398-4a8a-9cd7-44a99710c478_612x408.png, https://substackcdn.com/image/fetch/$s_!GnUV!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F9b2c6498-11a6-4276-8a66-0555ca5141e5_1296x730.webp, John Touhey’s project, https://substackcdn.com/image/fetch/$s_!ybv5!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6509924b-583f-4686-8ba9-cd4185892199_1012x463.png, https://substackcdn.com/image/fetch/$s_!12sU!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F5d21e8d2-ad0d-4a15-9ad0-0048338bcb33_1012x470.png, https://substackcdn.com/image/fetch/$s_!Wkjz!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fcff92f63-ad21-42fa-ad6f-c412b71f8524_631x481.png, https://substackcdn.com/image/fetch/$s_!mhyb!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa5fdf3d3-3e36-403e-95b9-f9fcbe7a06f0_1280x974.png, Checker shadow illusion, his paper, 2, Secrets of the Great Families, Adam Mastroianni’s blog, https://substackcdn.com/image/fetch/$s_!kvPF!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F30bf02a3-f57b-4a9f-a849-e7e318c65b6f_900x600.jpeg, source, 3, cloud iridescence, https://substackcdn.com/image/fetch/$s_!Y1Qt!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F9bbd9216-eb7d-4012-b114-bae56dbb0d4c_1024x681.webp, wrote a paper, 4, https://substackcdn.com/image/fetch/$s_!Id7a!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F3c37c56e-bdf1-46e2-8d29-d395987be105_851x310.png, Derivation of equations of the model of the dynamic behavior of the three-dimensional atmospheric cloud of electrically charged ice crystals under the influence of electrostatic forces, a Guardian article, List Of Mass Panic Cases
The Hindu milk miracle of 1995. Starting from the bottom: In 1995, a man in New Delhi noticed that an idol of the elephant-god Ganesh seemed to be really drinking the glass of milk left as an offering. The story went viral - or as viral as things could go in 1995 - and Hindus around the world noticed the same thing. There was “an increase in overall milk sales in New Delhi by over 30%”. Scientists investigated and determined that a sculpted stone elephant trunk could sometimes absorb milk through capillary action. This was a story about rumor, interpretation, and context, but not really “hallucination”. The drinking effect was real. The Halifax Slasher was a typical supercriminal story. Two women reported being attacked by a mysterious and oddly-dressed knifeman; others followed. “Vigilante groups were set up on the streets, and several people, mistakenly assumed to have been the attacker, were beaten up; business in the town was all but shut down”. Although there was a Halifax resident with a history of knife crime, “he was quickly ruled out of the 1938 attacks on account of his large nose, which none of the 1938 victims had described”. Eventually several of the victims admitted to having made it up, and the whole thing went away. Supercriminal cases most often result from people making things up. Occasionally, seemingly-honest people report seeing the supercriminal in poor lighting conditions across a dark alley or something. But even if we consider these to be “hallucinations”, it is usually the one or two most vulnerable people in a town at the time. I can’t find any examples of true “mass hallucinations” - entire towns seeing a nonexistent supercriminal or monster at the same time. Koro is the psychosomatic disease par excellence; I’ve written about it before here. Victims, always male, believe that their penis has disappeared or retracted into their body; they often blame penis-stealing witches. Koro occurs at some very low background rate in every society (including ours), but occasionally wells up into mass panics in primitive cultures that take witchcraft seriously and have traditions of worrying about this sort of thing. Still, I don’t think any panic ever affects more than half of a village’s males, and usually not at the exact same time; it’s a smoldering panic over days or weeks, not a single instant of horrified realization. Also, although I’m not sure and would love to learn more about this, I don’t think the koro victim is having a visual hallucination of not having a penis at all. I think they think their penis is much smaller or shorter than it should be - which only requires some sort of obsessive worrying and (perhaps motivated) mis-remembering of its normal length. None of these are “mass hallucinations” in the sense where the sorts of visual hallucinations typical of certain mentally ill people occur en masse in a crowd of thousands with >50% prevalence - that is, the type of mass hallucination that would be required to explain Fatima. As far as I know, there are no confirmed cases of this ever happening. Still, from the Hindu milk miracle, we can learn that religious people can miss a real phenomenon for a long time, then notice it all at once with great fanfare. And from the koro cases, we can learn that a rare phenomenon can become more common in situations of widespread belief and social pressure. Interlude: It Seems Like Years Since It’s Been Clear This is around the stopping point of the previous Substack discussion. I’ve tried to cover most of Ethan and Evan’s arguments, go through the chain of rebuttals and counter-rebuttals, and maybe pull on a few of the more tempting loose threads that they’ve left. As best I can tell, this level of investigation ends in a decisive victory for the believers. They have a stock of seemingly-unimpeachable testimonies; the skeptics have only a few leads that don’t seem on track to pan out. Eye damage can maybe produce a few odd effects, but - in the entire history of tens of billions of people living daily underneath a sun that they are able to view at any moment - we have not yet found anyone who reports the full constellation of Fatima experiences just from seeing the sun. No exotic weather phenomenon is a perfect match. Mass hallucinations are real but comparatively weak. At least this is my assessment. Skeptic blogs don’t agree. They propose one of these things (with no consensus as to which one) then act like they’ve debunked the miracle, then skip to the really important part: laughing at how obviously wrong it is. I’ve written before about my disappointment in the skeptical community and why it worries me, and here I feel it as acutely as ever. Sitting with my disappointment and trying to put it into words, I think my worries come down to a tangling of the Bayesian graph. The straightforward Bayesian way to do this is to start with some prior probability that there is a God who causes miracles (let’s say 1%), notice that the evidence for Fatima being a miracle naively seems very high (let’s say 90%), multiply out, and end up with a higher (8.3%) probability of God’s existence and a lower (8.3%) chance that Fatima in particular was miraculous. This is liberating. It lets you say “This piece of evidence is very strong, but my prior is very low, so even without being able to debunk the evidence, I continue to disbelieve.” But doing this the straightforward Bayesian way doesn’t work. First of all, what would it mean to naively (even before factoring in that you don’t believe in miracles) say Fatima seems 90% likely to be miraculous. Before factoring in that you don’t believe in miracles, surely the probability is much higher! But also, if you try this, then as soon as you find two similar miracles (I’ve been told the next two are the Eucharistic Miracle of Lancio and the Miracle of Pellicer’s Leg) your probability of God goes up to 88%! But I don’t think there’s any real atheist whose probability would rise in such a straightforward linear way. You need some kind of model where either it’s almost trivially possible to generate an arbitrary number of convincing-yet-false miracles, or it isn’t. But this doesn’t match the “virtuous” approach of addressing each miracle on its own terms - where you try to understand the Sun Miracle by learning things about the sun, or entoptic phenomena, or 1910s Portugal. And it does match the skeptical approach I’m complaining about, where you say “it’s probably swamp gas or something, lol, imagine being so dumb that you believe in miracles.” So I cannot object too strongly. Still, my greatest fear in this and all other problems of reasoning method is the trapped prior, where people take this too far and become impervious to evidence entirely. I think it’s worth untangling the whole Bayesian graph, trying to keep this whole structure in mind, if it prevents people from accidentally propagating an update down a logical chain, then propagating the same update back up the chain, again and again, ad infinitum, until they become arbitrarily sure of themselves. “We can be sure all miracle claims, even the convincing ones, are false, because there’s no God - and we can be sure there’s no God because all miracle claims are so risibly false.” Even if this is harmless - even if it turns out correct in the case of religion - it teaches such dangerous habits of mind that I’m willing to err in the direction of going way too far taking such claims seriously - at least in the “entertaining an idea without accepting it” sense. Everyone gets to decide what is and isn’t worth their time. I think deciding that these sorts of miracles aren’t worth your time is fine, as long as you’re propagating all the probabilities correctly and not accidentally treating your own hurriedness as a cause to update the rest of your belief graph. As for me, I don’t know, I just find this fascinating. In Evan’s skeptical take on the conversation, he starts strong, but after the topic switches to Part LXXVII of Dalleur’s discussion of photograph angles, he stops and asks: What the fuck are we doing? What are we talking about? What have I spent (conservatively) 18 hours of my life on? We’re addressing what Stanley Jaki called the most important event of the 20th century! We’re debating the existence of God, the most important question possible! If God is real, then nothing could be more important than establishing this: in the best case, we will come to believe; at worst, we will be able to tell St. Peter that our failure was honest and not from lack of trying. If He is not, then we can do whatever we want here on Earth, and surely one of the noblest ways to spend our short existence is expanding the frontiers of the known into the borderlands of mystery! In particular, if the God of Fatima exists, we are in deep trouble. I said I wouldn’t talk about exactly what the Virgin Mary told the child-seers, but the short version is that the First Secret was a very, very nasty vision of Hell. It looked exactly the way a ten-year-old child might expect: a lake of fire populated by ebon-skinned demons and horrendous tortures; the lead child-seer said that if the Virgin had not begun by promising that she personally would never go there, “she would have died of fright”. As it was, the consequences of the vision were grim. The child-seers got it into their minds that they could perhaps save sinners from the fire by “doing penance”. They drank only stagnant, scum-encrusted water, in the hopes that this might help some otherwise hell-bound soul; on some especially hot days, they ceased drinking water at all. When they found particularly painful ropes, they tied them around their bodies so hard that they bled (later, the Virgin mercifully told them they didn’t need to wear the ropes at night - they could stick to daytime only). After so many mortifications, they were easy prey for the Spanish Flu; two of the three perished before their tenth birthday. As they lay dying in the hospital, they were recorded as freaking out every time they saw a nurse or visitor with “immodest dress”, saying that they would not act in such a way if they knew how long Eternity was, or what awaited them there5. If all of this is the true opinion of the Lord of the Universe, we had better figure it out quick. If it isn’t, then the words of the Grupo Anticlerical: People! Let us always fight! From the victory of progress, science, freedom, and free thought, will result human happiness, joy, love, fraternity, respect for women, veneration for mothers, adoration for children, affection for the elderly, protection for the sick, the unfortunate, the tortured . . . O most holy mothers! O holy, pious mothers who so love your sweet little children! Have compassion on your beautiful little children, sacred fruits of your blessed wombs! …take on new meaning and urgency. I will admit my bias: I hope the visions of Fatima were untrue, and therefore I must also hope the Miracle of the Sun was a fake. But I’ll also admit this: at times when doing this research, I was genuinely scared and confused. If at this point you’re also scared and confused, then I’ve done my job as a writer and successfully presented the key insight of Rationalism: “It ain’t a true crisis of faith unless it could go either way”. But now that we’ve let Ethan, Evan, and the rest dig us into as deep a hole as possible, let’s try to dig our way out. 3: Our Lady Of Everywhere Else One question that Ethan, Evan, and Dalleur fail to ask is: what if people are basically always seeing the sun spin and change colors and and fall from the sky? What if this is the most common experience in the world? What if it’s a minor miracle every time you get more than a handful of people together and they don’t fall down in awe and terror at the manifestations of the sun? Goncado Xavier de Almeida Garrett is one of the star witnesses of the Fatima miracle, quoted above. His testimony comes from a letter written to Father Formigao, a local priest, about two months after the event. But although pro-Fatima sources quote the testimony at the beginning of the letter, they conveniently leave out what follows: I ask your excellency to please tell me if you confirm this narrative: the Bishop of Portalegre and Mrs. Maria de Jesus Raposo report that while they were with other people in Torres Novas, on the 20th of October at the end of the day, they saw the sun rotate and change its colors. They said this was different from Fátima and did not have the importance of October 13th. I would like clarification on the differences. It is urgent to know what the differences are, since they attended both […] Until now, no one saw the sun's sparkling rotations, and now everyone sees them many days and many times. Many days and many times? Remember, the Virgin Mary first appeared at Fatima on May 13. She promised to return on the 13th of each successive month until October, when she would perform a great miracle. But she never said she wouldn’t perform any miracles until October. So on the 13th of each month, a medium-sized crowd gathered. They didn’t leave disappointed. I won’t include every claimed supernatural occurrence, but here are the ones relevant to our subject: Olimpia de Jesus, about July 13: [On July 13], at her sister-in-law's house, when they heard the people shouting, he asked, "What's going on over there?" [Olimpia] looked at the sun and said, "The sun is different." The people came and reported that they had seen signs in the sun and in the sky. Joaquim Inacio Vicente, about August 13: This hour was a moment of terror for all who were there. Some lost their senses, others believed it to be the last day of their lives and their day of Judgment, and for some, afterwards, it was a wonder to see the admirable colors that successively took on the clouds that obscured the sun's rays—colors from bright red to pink and from there to blue—the color of anise, as several people declared to me minutes later in my home. Leonor de Avelar e Silva Constancio, about August 13: Everyone looked up at the sky, which was covered by a light cloud, like a very fine white lace, pink in places. The sun, which had been completely hidden for a moment, left us illuminated by a strange light, with yellow spots visible on the ground and above us all, and a great drop in temperature, as happens during a solar eclipse. Manuel Pedro Marto, about August 13 and September 13: [On August 13, he] saw a kind of luminous globe rotating in the clouds […] On September 13th, he also went to Cova da Iria. He was a little away from the children. He saw nothing, nor heard anything, but he heard that some people had seen extraordinary things in the atmosphere. Joaquim Xavier Tuna, about August 13 and September 13: On the 13th of August, I saw the sun lower in the sky at the hour of its appearance. It never lowered as much as that time, not even on October 13th. All the objects around me turned yellow. On September 13th, I saw a large cross emerge from the sun and head east. Its progress was not very hurried. Sometimes it appeared, sometimes it disappeared, until it disappeared from view. I also saw other things that I cannot explain. In the Lapas area, there were people who, at the same time, saw the cross. Then there was the great miracle on October 13. Remember, I was only able to find a handful of negative testimonies - people who said they didn’t see it. One was from a woman named Leonor das Dores Salema Manoel, who said she saw “nothing of what others saw”, at least at Fatima. But on the drive home from Fatima that evening6: I saw [the sun] pass through different colors that I can't remember and it turned green, very light green, like a green salad with a golden rim around it, and spinning. Very long rays seemed to touch the earth and the sun seemed to be separated from the sky. Then the sky took on pink flashes, changing to a yellowish hue around the sun, and further away, spots here and there. After a few long moments that I can't remember, it returned to normal and I couldn't look at it again. The next occurence was early the following year. From the parish inquiry’s interview with Jacinto de Almedia Lopes: He further said that on the day of Our Lady of Purification, that is, on the second of February, 1918, he about 3 o’clock in the afternoon, being in the same place, he noticed signs in the sun identical to those of the thirteenth of October, which he had not noticed on many other days when he had been there. And next, from a letter by Gilberto Fernandes dos Santos: I must inform you that I went to Fátima on [June 13, 1920]… at that very moment, the people were kneeling on the ground, shouting, praying loudly, weeping, begging forgiveness with their hands raised, because they were witnessing a solar phenomenon similar to that of October 13, 1917. And next, from Dr. Henrique Weiss de Oliviera, describing events on May 13, 1923: I ate my meal in a car on the road near Cova da Iria [in Fatima], from half past noon to one in the afternoon, and when I returned to the Chapel, I heard the groups I passed exclaiming in admiration about a marvelous phenomenon that they claimed was occurring in the sun toward which they were directing their gaze. Deeply doubting the repetition of the marvelous phenomena that had dazzled thousands of people, according to reliable reports, during the last apparition of Our Lady in 1917, I was about to pass on without even bothering to look. I remembered, however, that when I first went to Fátima on October 13th of last year, and upon hearing similar admiring rumors around me, I had seen nothing during my quick inspection, perhaps because I was filled with that spirit of doubt. I therefore wanted to be certain this time so that I could, with full awareness, give my testimony to whoever and whenever I was asked. And, having stopped near a group and stared at the sun, carefully shielding my eyes from the direct sunlight, so as not to see anything, they immediately advised me to insist that I would see something. It took a long insistence to finally see what amazed everyone and caused astonishment that I could not see it. And I saw with precise clarity, and twice, what the common people, in their imaginary language, very accurately likened to: almond blossom petals. They fell from a great height (no longer seeing them detach from the sun as the people around me saw them) For myself, I finally, and after a considerable time, concluded that there is no such natural phenomenon, neither known nor described, thus leaning toward the supernatural. Today I firmly believe that this was the case, because I have had testimonies that allow me to reconstruct the phenomenon as it appears to have occurred according to these testimonies. First, one could gaze at the sun for a long time and with impunity, seeing magnificent phenomena of beauty and color; then began an abundant rain of the aforementioned petals; and when I arrived, it was no longer possible to gaze at the sun, and the phenomenon, which had been quite lengthy, was at its end, which explains my difficulty in witnessing it now. And from Joao Amael, on October 13, 1925: I do not know why, I suddenly felt a desire to look at the sun. [I would hear] other educated persons admit having seen phenomena in the sun on that day and hour. I looked at the sun. Before that, nothing special could be seen. But now I looked at the sun without hurting my eyes, without any retina resisting. I became more intent. To my astonishment, the sight became even clearer. The sun turned on itself in a very small circle, and in the center it turned into a dark disk in rapid rotation. During some minutes, very impressive and overwhelming, I could clearly verify this strange process. Then, without revealing anything of what I observed, for fear of autosuggestion, I asked my companion to look at the sun and see whether it really appeared. And my companion was describing exactly the phenomenon, the same extraordinary phenomenon. The test was achieved. And I gained further assurance, when various other people later told me that they had seen what I saw clearly, at the same hour, as they kept looking at the sun, without the slightest sensation of pain. Amael’s report of a miracle in 1925 is the last recorded case I can find at Fatima. I don’t know if this was when the sun miracles stopped happening there, or when people stopped including them in the Critical Documents collection. In either case, there were plenty of other places willing to pick up the torch. 3.1: The Ghiaie Variations As far as I can tell, Fatima was only the second-largest crowd to have ever witnessed the Miracle of the Sun. The largest was a group of 200,000 - 300,000 people in Ghiaie, a tiny village near Bonate, Italy. On May 13th, 1944 - the same day of the year that the child-seers of Fatima saw their first apparition - a seven-year old girl went out to pick flowers and had a vision of the Virgin Mary. The Virgin promised to return to her for nine successive evenings; at some point (although I cannot follow this part of the story) she must also have promised to return four times the following week, as large crowds gathered in expectation. According to my source, on the ninth appearance: Many testimonies from the site of the apparition and from surrounding villages described an impressive solar phenomenon. The sun came out of the clouds, whirled dizzily on itself, and projected beams of yellow, green, red, blue, and violet light in all directions. The beams of light colored the clouds, fields, trees, and the stream of people. After a few minutes the sun stopped its whirling, and those phenomena began soon again. Many noticed that the disc had turned white like a Host. The clouds seemed to be lowering down on the people. Some noticed a Rosary in the sky. Others saw a majestic Our Lady with a trailing cloak. Some people, who were at greater distance, saw Our Lady's face looming in the sun. From nearby Bergamo many witnesses observed the sun become pale and radiate all of the rainbow's colors in all directions. They also noticed a large yellow light beam falling over Ghiaie, perpendicularly. The blog says there were similar solar phenomena during the tenth and twelfth appearances, as well as on the following June 13th and July 13th7. All of this is from a random Catholic blog; can we find clear testimonies? The miracle of Fatima was heavily promoted by Portuguese, Vatican, and American Catholics, leading to a large body of sources being available in English. The Ghiaie apparition has gotten less attention, and so I can find fewer testimonies, have had to clunkily machine translate some things, and had a harder time tracing the exact chain-of-transmission. Still, here’s what we’ve got, mostly from here: Don Giuseppe Piccardi: The people cried out to the miracle; I turned between the intrigued and the distrustful, and I saw the sun that-comes from the clouds - turned on itself and the speed of movement seemed to be skidding. At the same time I saw that he projected light beams, then, for me, almost constantly yellow gold. This color I contemplated it even when the sun was veiled with uncaught clouds. Slightly hard to figure out from the machine translation, but I think this is Bishop Adriano Bernareggi: At 6:00 PM I was at the Patronato for the feast of St. John Bosco. Just at that time I finished speaking in front of the church. Then I entered the church for the Benediction with the Blessed Sacrament. But most of the crowd remained outside because they said they had observed for about ten minutes the sun rotating on its axis, also suddenly changing color: yellow, red, blue. The sun could be observed without disturbance. The phenomenon was also observed in other places. I only noticed at the end of the service a yellow color in the houses, as when there is a partial eclipse of the sun at sunset. At 7:45 PM they said the phenomenon was repeated. I watched too. By staring into the dazzling sun, you could end up seeing the sun stand out clearly, giving the impression that it was rotating. Then everything took on a red color. But then it was clearly an optical phenomenon. Don Luigi Cortesi, a local seminary teacher who was a strong skeptic of the apparitions and even borderline-kidnapped the child-seer to convince her to recant: A shiver runs through me for a second. I react forcefully, forcing myself not to lose my mind, not to let myself be overwhelmed. I desperately squeeze my pupils and look at the sun: I see a large, clear spot without sharp edges, then, when my eye has adjusted, I see a disk of intense whiteness that seems liquid. Staring at the edges of the disk, I detect a dizzying rotation, like an electric circular motion, like a dizzying pinwheel, except that the direction of motion changes rapidly from left to right and then from right to left. I remember Fatima. Except this time, the sun revolves around a fixed axis, without moving in the sky. I return to the earth, to the crowd: I notice that the faces, the hands, the trees pierce through all the colors of the rainbow. It's natural, I think to myself: when the eye is offended by an intense light or an equivalent stimulus, it projects a stain on objects, which fades from red to violet and tints the objects it encounters with different colors; the stain disappears when the eye, rested, has returned to normal. In fact, a few minutes later, I no longer see those iridescent colors; every object has returned to its natural hue. The phenomenon of rotation leaves me dubious. A neighbor offers me his smoked glasses, and I look: the sun continues to rotate. He offers me a telescope, and I invert it, the screen, and look: the sun is still rotating. Then I can't take it anymore: even today, I'm not convinced that seeing a cosmic prodigy is worth losing my sight. Back then, I wasn't even convinced I was seeing a prodigy, since a plausible natural explanation for the phenomenon quickly emerged in my mind. However, urged by the neighbors to get excited, I remain silent. And I silence them by pinching and slapping the arms of those around me, which are stretched out towards the sky." From the parish bulletin of Tavernola, the exact author is slightly confusing but it was either written by or signed/confirmed by Piero Bonicelli, local provost: On the 28th in the evening of Pentecost, something happened that made a profound impression on everyone. At 6:00 PM sharp, a dimming of the sunlight was felt, accompanied by a sudden flash of lightning, first clearly observed by some bowling players. Looking at the sun, one saw first green, then bright red, then golden yellow, and then it spun around dizzily. At that spectacle, people poured into the streets... One can imagine their comments. The women recited the Holy Rosary, punctuated by the words: "Oh, how beautiful!" After ten minutes, the sun returned to normal. Comments? None. We await an explanation from the appropriate source. For now, we're content to hear the usual strong-minded people call us poor, deluded people, but don't you think this is a rather general illusion? In any case, for now, we're deluded: we'll see later. The parish priest of Tavernola, director of the bulletin, sending this issue requested by Father Piccardi, wrote on June 27, 1946: I must assure you that, as written, it is true, and I can also tell you that I was among those deluded that evening. To be prudent, I didn't go out into the street where people were shouting about a miracle, but from a slightly hidden window, I watched the sun change color and spin rapidly... illusion? Many of us here in Tavernola have been deluded. I can also tell you that I was pleased that such an illusion existed in Tavernola, since the people here have always had a great devotion to the Madonna. There may be more testimonies at this site, but they’re in very old scanned documents that it would be too time-consuming to stick into my machine translation pipeline. Another source says that “On February 24, 1994, [the TV show] ‘Detto tra noi' (Raidue), interviewed some witnesses, who confirmed the solar phenomena of May 21 1944 that were watched by many people“. I think a few hours extra work by an Italian speaker could produce at least five or ten extra Ghiaie testimonies, maybe many more. But as it is, we have enough to try something interesting: let’s recreate Dalleur’s analysis, but for Ghiaie. At 6 PM, the sun was shining from almost due west. For the sunlike light source producing the miracles to mimic the real sun, it would have also had to have been to the west of Ghiaie. If we assume it was the same distance as Dalleur’s Fatima light source, it would have been about 2-3 miles to the west of Ghiaie, which puts it above the village of Merate. We know from the last testimonial that the phenomenon was seen clearly in the village of Tavernola Bergamasca, which is about 22 miles from Ghiaie and 25 from Merate. An Italian source also reports sightings in Brescia and Piacenza, each about 35 miles from Ghiaie. So a Dalleur style analysis might conclude that this event also had a 25 - 35 mile visibility radius, similar to Fatima’s. …unfortunately a 25 mile circle centered on Merate includes the city of Milan, population 1.1 million, which produced no reports of unusual solar activity. And Milan had clear line-of-sight to Ghiaie and Merate, and so probably better viewing conditions than Tavernola, which (you can see from the map above) has some intervening hills. Might the miraculous light source have been like a spotlight, aimed in only one direction - that is, east to Ghiaie and Tavernola, but not southwest to Milan? This would contradict Dalleur’s Fatima analysis, since one of the most dramatic testimonies comes from the city of Minde, which is on the opposite side of the presumed light source from Fatima. I don’t really think it’s possible to maintain a theory where this phenomenon gets transmitted through normal geography. 3.2: Mary Such Cases At this point, the reader will get the general idea, and we can start moving faster, as there is a large amount of ground to cover. Heroldsbach, Germany, 1949: The Virgin appeared to four young girls. Rumors spread, crowds gathered, and on December 8th, 10,000 people saw another sun miracle. Here are about a hundred testimonies, gathered with typical German thoroughness. An expert meteorologist brought in to investigate summarized them as follows: If one now considers the testimony in detail, one encounters a surprisingly small agreement of the observations made. One witness has seen a red sun, the other a yellow, an orange or pink with blue and green, or a whitish sun. A silver one was also observed or all the colors mentioned in colorful change. One wants to have observed an oversized, the other a first small or normal, but then rapidly enlarging and rushing towards the viewer in a frightening way. Most of the witnesses noticed that the solar disk rotated very quickly in two or three phases of rotation for about a quarter of an hour. The Catholic Church condemned the apparition and miracle as fake, even going so far as to excommunicate the child-seers. Later they relented slightly and un-excommunicated them, but their official position is still that nothing supernatural happened - this sun miracle was merely an overly enthusiastic hallucination! Necedah, Wisconsin, USA, 1949: A housewife named Mary Ann Van Hoof claimed to have seen the Virgin Mary. This is among the less plausible visitations: Van Hoof, who was raised Spiritualist, also claimed to have seen Joan of Arc, George Washington, and Abraham Lincoln. The messages she channeled seemed less like tidings of peace and love than like a particularly unhinged Truth Social post, and included warnings about the Rothschilds. Still, rumors spread, crowds gathered, and on August 15 1950, 50,000 - 100,000 people showed up hoping for a miracle. As for what happened next, Wikipedia says that “witness accounts vary significantly”. WaPo says that “observers saw nothing unusual” and LIFE mentions nothing out of the ordinary. But other sources report sun miracles, and I was eventually able to track down three testimonials in a summary of articles from a local newspaper, which states that “after a rainy morning…”: It was about noon when Van Hoof came out of the house and a woman screamed, “By God, it’s really true,” and fell to her knees. Then it happened that the Rapids woman and so many in the crowd saw the sun, covered with a dark, greenish gray disk, spinning down toward the earth. And she testified, “I thought the end of the earth was coming and fell to my knees.” A Pittsville woman also described the sun spinning closer to the earth. “I and many other people, fell to our knees in awe.” The Daily Tribune visited the Oct. 7, 1950, event — a 25-minute “last” message from the Mediatrix to the “throng” of 50,000. Responding to this seventh vision, gasps were heard from women who again saw the sun behaving oddly. A Catholic priest told reporters he saw the sun whirl clockwise and jump. The Catholic Church condemned the apparition as fake, and declared van Hoof’s followers “a cult”. Lubbock, Texas, USA, 1988. Really? Really? Nothing could be more natural than for the Queen of Heaven to appear to kind-hearted shepherd children in Portugal. Even an appearance in war-torn West Germany makes a certain amount of sense. But Lubbock, Texas? I suppose this must have been how the cool Sanhedrin members felt when they learned the Christ hailed from Nazareth. But that doesn’t make it any better. Anyway, rumors spread, crowds gathered, and on August 15, 1988, about 10,000 people witnessed the Miracle of the Sun. Here is an indirect testimonial, a man describing his wife’s experience: A large crowd had gathered outside Saint John Neumann Church on that very hot August afternoon on the Feast of the Assumption. Mass was being said in the afternoon, and around the time of the Consecration, suddenly her cousin’s wife (a convert, if you remember) said “look at the sun”. When she did, the sun was pulsating, it would look like it was coming down to earth and then go back again, it spun around in circles, much the same as what took place in Fatima in 1917...and changed colors. She looked at it directly for 15 minutes or so without any damage to her eyes. As my wife looked around, the people in the crowd seemed to be bathed in various colors. During all this my wife even saw The Blessed Mother. The Blessed Mother was extending her arms in what appeared to be a welcoming gesture. But not everyone had the same experience that day: her cousin’s wife and our son saw and believed instantly, but her cousin and brother saw nothing at all. Why did some see these events and others did not? We don’t know...not enough faith? Or perhaps they had enough faith, and they didn’t need a sign! Here we have something special: according to the Los Angeles Times, one pilgrim took a poll about who saw what: A push was on to assemble evidence for the commission in a lawyerly way. Testimonies from 247 people present at the feast had been recorded. The statements were transcribed by volunteers and stored in a computer. Joe James himself indexed the information: 186 had witnessed the spinning of the sun; 75 had seen the Virgin; 64 Jesus; 18 an angel. How could anyone ignore the bulk of such documentation? We don’t know how the 247 people were selected, but very naively it seems like 2/3 of those present saw the sun spinning. This also matches the first person listing 2/4 family members. (the Catholic Church withheld judgment, refusing to either endorse or condemn the visions) Benin City, Nigeria, 2017. On October 13 2017, crowds gathered around the world to celebrate the 100th anniversary of the Fatima miracle. One such commemoration happened in Benin City, Nigeria, where 30,000 people attended the National Marian Congress and witnessed the re-dedication of Nigeria to Mary’s Sacred Heart. As the speakers commemorated the Fatima event . . . . . . someone pointed to the sky and shouted “It’s happening again!”. It was, indeed, happening again. You can read about ten testimonies here. I’ll quote just one, from Brother Joseph Obiemeka Azih: Immediately after the 3:00 p.m. Divine Mercy prayers, there were brief showers of rain. Then came sudden brightness of the sun, which was hitherto hidden behind layers of dark cloud. We also observed rather surprisingly the mysterious shooting of the sun forward and backward. Intermittently emitting of powerful bluish and golden colors of light from “Our Lady clothed with the Sun.” The sight was indescribably beautiful. We were busy staring at the bright sun steadily for more than twenty minutes without blinking an eye even for a second! People around us were dazzling and reflecting these bluish and golden colors on their dresses and faces. What a mystery! More than 30,000 people inside the arena were seen peering at “the dancing of the sun” bewildered. The miracle lasted for more than 45 minutes after which there was [a] heavy downpour which the Bishops present said [were] “showers of blessing.” I was able to confirm that some of the people whose testimonies were listed on the site are real Nigerian Catholics whose existence is attested in other sources. Two weeks later, there was another Nigerian commemoration of the Fatima anniversary, in Lagos, and a sun miracle happened at that one too. 3.3: Made You Gaze At Medjugorje Medjugorje (Bosnia, 1981) is in many ways a typical Marian apparition site, much like the ones on the list above. Child-seers, warnings to repent, sun miracles, you know the story by now. But in Medjugorje, the miracles keep happening. Pilgrims - or, more cynically, tourists - go there just to see the sun miracles, and many come back satisfied. You can find blogs by people who went to Medjugorje hoping to see a sun miracle, and on their first or fifth or eighth or whatever day, there’s a crowd of people, yelling and pointing at the sun, and they look up and see it too. Here’s an account from Catholic blogger Father Dwight Longernecker: I was an Anglican priest living in England, in 1985 when I was invited by a group of Anglicans and Catholics to visit Medjugorje. I didn’t want to go. Being a former Evangelical-fundamentalist I wasn’t too keen on apparitions of the Blessed Virgin. I opted out. They insisted. I dug in my heels. They said someone else would pay for it. I didn’t want to go. They cajoled and twisted my arm until I said ‘yes’ [...] On our second day there I sat on the balcony of our guesthouse with a large woman named Eleanor. As we began the rosary I looked up and the sun was a blaze of light in the sky. I looked down to the car parked below and the sun was reflected in the hood of the car as a blaze of light. Eleanor and I prayed the rosary together. I had my eyes closed. At 6:20 Eleanor gave me an elbow in the ribs and pointed. The sun was now a disc of white light in the sky like a Eucharistic host. Then as I watched it began to spin, first clockwise then anti clockwise. Sparks spit out from the rim of the sun like a firework. I looked down and the sun was a white spinning disc on the hood of the car. I don’t think this would have happened if it was just my eyes playing tricks on me. Plus, Eleanor saw it too. That’s why she gave me an elbow in the ribs. I am not sure how long this lasted, but when we spoke about it to our fellow pilgrims they said many people in the town square had reported the same phenomenon. Some of these tourists capture the phenomenon on video. Unfortunately, the videos are of three types: Videos of a bunch of people pointing at the sun, and shouting the word “Miracle!” in various languages, and obviously looking extremely excited, but the sun itself looks totally normal, and the person taking the video apologizes and says that their camera isn’t good enough to capture it.
Inline links: really drinking the glass of milk, Halifax Slasher, here, my disappointment in the skeptical community, why it worries me, lets you say, Eucharistic Miracle of Lancio, Miracle of Pellicer’s Leg, trapped prior, of mind, 5, key insight, 6, my source, 7, here, this site, https://substackcdn.com/image/fetch/$s_!kukw!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F192586f8-d450-4555-88ef-deb6bbe30416_842x613.png, Here, Wikipedia says, WaPo, LIFE, a summary of articles from a local newspaper, is an indirect testimonial, Los Angeles Times, https://substackcdn.com/image/fetch/$s_!7J80!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F643b310a-4f76-4de9-8434-c8449f29f686_581x226.png, here, a sun miracle happened at that one too, an account
Many Americans are fascists
Political violence in America is morally unacceptable (at the current time)
Political violence in America is morally unacceptable (at the current time) I thought about this while following the Twitter spat between Democratic hopeful Gavin Newsom and Trump advisor Stephen Miller. Newsom called Miller fascist; Miller accused this of being a call to violence which placed “a target” on him. Miller is hardly sympathetic here - he’s called people fascist himself in the past, and later suggested Newsom should be arrested for his speech (if only there were a word to describe the sort of person who supports that kind of thing…) Still, I found myself able to see things from both perspectives. From Newsom’s perspective: Miller subscribes to some type of far-right nationalism. And fascism is a type of far-right nationalism. Whether or not these are the exact same type of far-right nationalism is a taxonomic argument, much like whether some particular long slimy toothy fish should be classified as an eel. Not every long slimy toothy fish is necessarily an eel, but it seems unwise to pre-emptively rule out the possibility. From Miller’s perspective: people absolutely use “fascist” as a synonym for “person who it is acceptable to hurt because of their politics”. The signature of a mod on a bulletin board I used to frequent - back in the days of bulletin boards, mods, and signatures - was “If I can shoot rabbits, then I can shoot fascists” - an apocryphal Spanish Civil War quote popularized by a hit rock song. A popular left-wing t-shirt, cap, and protest sign is “Make Fascists Afraid Again”. From the clenched fist, I gather that they’re not just afraid of losing elections. When Woodie Guthrie famously wrote on his guitar that “This machine kills fascists” - a sentiment imitated and snowcloned by later generations of musicians and commentators - nobody worried this was a bad thing. Nobody demanded that somebody stop the machine before it killed again. If Anyone Builds It (Woody Guthrie’s guitar), Everyone (fascists) Dies. There’s no number of examples I could give which would absolutely prove I’m not cherry-picking. But I think it’s suggestive that even people who argue against casually killing fascists have to disclaim that they’re certainly not opposing all violence against fascists - just against jumping straight to murder before other forms of violence have been tried. Besides that, I can only appeal to a hope that you’ve experienced the same cultural currents that I have, and that this seems obviously true to you. I’m not trying to normalize fascism, or claim that it isn’t extremely evil (I think it is, see here for more). I’m only saying, again, as a matter of basic logic, that the following things can’t all be true: Many Americans are fascists
Inline links: the Twitter spat, should be arrested, popularized by a hit rock song, https://substackcdn.com/image/fetch/$s_!pH8v!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F3e5a7df7-9f93-4aad-a9f7-04974b390c6c_2048x2048.avif, “This machine kills fascists”, https://substackcdn.com/image/fetch/$s_!UmUx!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6877979c-dab1-4c0a-80c9-213cc3f8e305_1280x1181.jpeg, even people who argue against casually killing fascists, see here for more
Mr. Sacks disliked another Biden administration rule that controlled A.I. chip sales around the world. He also questioned Washington’s consensus that selling A.I. chips abroad would be bad for the United States.
It’s more complicated than this, because the US is in a stage of the race where it’s mostly working on building AIs, and China is in a stage of the race where it’s mostly working on developing chips. If a treaty bans both sides from building AI, China can still develop its chips, and be in a better place vis-a-vis the United States when the treaty ends than when it began. A truly fair treaty would have to either wait until China had finished developing its chips and was also in the building-AI stage of the race (5-10 years), or place restrictions on Chinese chip development, or otherwise compensate the US for this asymmetry.
AI safety only tangentially intersects the application layer. There’s no sense in which schools and hospitals need to be doing yearly impact assessments to see whether they have created a hostile superintelligence. Aside from the AI companies themselves, our interest in end users is limited to those who control weapons of mass destruction - biohazard labs, nuclear missile silos, and the like. These institutions should harden themselves against AI attack. All our other asks are concentrated on the model layer, where China isn’t interested in competing and the American position is already strong.
24: Related: how the American public’s opinions on AI are changing (from David Shor, h/t Daniel Eth on X): If this is to be taken seriously, AI is already a bigger political issue than abortion, climate change, or the environment. I fail my 2023 prediction that there was only a 20% chance this would happen by 2028. 25: Related: Bernie Sanders in The Guardian: “There is a very real fear that, in the not-so-distant future, a super-intelligent AI could replace humans in controlling the planet.” The Left has a complicated relationship with existential risk from AI: they really hate AI, which in theory should push them towards yet another reason to be against it. But they hate AI so much that they need to believe every negative thing about it at the same time, and one of those negative things is that it’s just a scam and will never work, and this naturally pushes against being concerned about x-risk. But as AI improves, will the “just a scam” position become less tenable, shunting the associated psychic energy into other reasons to hate AI (including x-risk concerns)? 26: Qualia Research Institute has released a video describing some of the work they’ve been doing the past year - The Oscilleditor: An Algorithmic Breakthrough for Psychedelic Visual Replication (1080p•⚠️SEIZURE): 27: Jesse Arm (X): “A majority of American rabbinical students are now women. Most are also LGBTQ. That includes Modern Orthodoxy. Remove Modern Orthodoxy and the numbers climb even higher.” Clergy have always served as spiritual counselors; as religions liberalize and other roles become less important, the therapist role starts to predominate. But 75% of therapists in the US are female; at the limit of liberalization where clergyman = therapist, we should expect the same gender ratio. 28: The latest news on the COVID origins debate: scientists find a naturally-occuring bat coronavirus with a COVID-like furin cleavage site. This is a point in favor of the natural origins hypothesis, since the second-best argument for lab leak was that COVID’s furin cleavage site was too strange to evolve naturally. But I think arguments that lab leak has “fallen apart” are premature: the best argument (COVID emerged only a few miles from the biggest coronavirus gain-of-function lab in the Eastern Hemisphere) remains strong. I update from something like 95% chance it’s natural to something like 96%, but not 99.99% or anything. And here’s a lab leaker arguing that COVID’s furin cleavage site is out-of-frame and so still more unnatural-looking than the one on the recently-discovered bat virus. 29: Nicholas Decker (econ blogger, famous for his controversial autistic takes and Secret Service visit) has a dating doc. Most interesting section is the one about children: he wants to have them, but doesn’t think they should be genetically related to him. From here: If this appeals to you, you can find his contact info on the document. Related: Governor Jared Polis of Colorado is a fan of Nicholas Decker and Richard Hanania. 30: Matt Yglesias comes out as aphantasic (unable to see images in his “mind’s eye”). He says that contra the usual perspective that frames this as a deficit, he finds it helpful. For example, once he got assaulted, and he remembers on an intellectual level that it happened, but since “I wasn’t taking pictures of myself getting kicked in the head so, as far as I’m concerned, it’s like it happened to someone else” (Matt usually has good instincts, so I’m surprised he uses an example which will be such catnip to his conservative critics). He thinks it makes him a better reasoner / statistics blogger / effective altruist to be able to “get a statistically valid view of the situation, not overindex on the happenstance of your life.” For what it’s worth, I’ll give my contrary data point - I think of myself as a reasoner / statistics blogger / effective altruist in a pretty similar vein as Matt, but AFAICT my visual imagination is totally normal; if other people are having their emotions yanked around by vivid images, that’s a skill issue. 31: Lakshya Jain in The Argument: The COVID political backlash [to the Democratic Party] has disappeared. Despite the narrative, polls show that voters don’t favor or disfavor either party over COVID, mostly still think school closures were necessary, and are about evenly split on vaccine mandates. I guess I can’t disagree with this poll - it seems well-done - but I still wonder whether something is being missed. Maybe it didn’t make the ~50% of voters who are naturally liberal desert the cause, but it energized conservatives in a way that might otherwise not have happened? Related, from Rob Wiblin on X, on balance Britons think the government response to COVID was not strict enough. 32: Related: Back when neoreaction was a big deal, I occasionally discussed posts by neoreactionary blogger Spandrell of Bloody Shovel. If you’re wondering what happened to him, you can read his 2024 Post-Mortem Of Neoreaction here, where he discusses how he fell out of love with the movement (warning: he has not fallen out of love with racial slurs). As a former fascist sympathizer, I can see why [fascism is on the downswing]. The allure of fascism in 2024 is much, much diminished. For a few reasons. A big one was COVID. See, the point of fascism is that Collective Action is necessary to have nice things. We need a strong government committed to the good of the people. Yarvin showed his preference early when he started his new Substack by quoting Cicero’s phrase “Salus populi suprema lex”. The health of the people is the most important law. Cicero wasn’t a fascist of course, nor is Yarvin really; a big point of fascism is to narrowly define the populus as an ethnic group with demonstrable ties to blood. That makes the government’s ties to the people stronger, increasing their commitment to do Good Collective Action. Which is important. Very important. A lot of good things can come of intelligently done Collective Action. Fascist Italy made the trains run on time. Nazi Germany fixed the terrible Weimar economy. East Asian countries are all effectively fascist states, if with less ideological baggage (yellows just aren’t like that), and they are all nice, clean, safe places with healthy economies. Fascism is not a panacea but it works, when you let it. Strong government can be pretty neat. So why is strong government less appealing these days? Well, COVID happened. And our governments were pretty damn strong in dealing with it. They made strong laws and enforced them. And what did they do with their power? Absolutely retarded shit. They destroyed the world economy and made 95% of people completely miserable for 18 months. Up to 3 long years in some places. Again, as an Orient enjoyer I was very sympathetic of strong effective government. My life has been pretty cozy thanks to it for the past decades. But after seeing boomers, hypochondriacs, and menopausal women take the reins and use it against healthy people, I’m fucking done with strong effective government. Fuck that shit, I’m out. I don’t want to see strong effective government ever again. I was very lucky that I was out of China in November 2019. It was a fluke really. I moved to the Golden Triangle after that and the law of the jungle was much, much nicer during the Doctors Plague of 2020-2022. But I spent a few months in Europe during the time and man, that was brutal. Not just seeing how retarded governments were; the level of compliance by the people was so disheartening. Imagine being a sincere fascist and seeing your people behave like that. These are my people? My Volk? Am I supposed to sacrifice life and limb for the salus of this populus? Fuck that. Let them cook, they deserve everything that’s coming to them [...] Is there a way to make the body healthy again? I do think so. I think there’s still place for a successor right wing ideology which is neither Christian fundamentalism or robot worship. And it will happen; but it won’t happen on Twitter. Maybe it can happen on Urbit, or right here in this site. I have some ideas myself, and I invite you to join me and build this together. It would be funny if the solution to the paradox Jain highlights was that for every time a COVID lockdown turned a liberal into a conservative, it turned one fascist into a moderate, for a net rightward shift of zero. 33: Also from an Argument poll: In a hypothetical Presidential matchup, Gavin Newsom beats JD Vance 54-46. I’m split between the usual heuristic of ignoring any polling more than a year before an election, and the fact that this is a remarkably big lead for polarized 21st century America. 34: Jerl wades into the David Hume on miracles debate. 35: AI Teddy Bears: A Brief Investigation. The good news is that your child’s AI teddy bear is hard to jailbreak and probably will not tell them where to find guns: The other good news is that somehow they don’t charge a subscription, which makes them a way to get usually-subscription-only AI models for free. How is this possible? “[The most likely hypothesis is that] Witpaw is an adorable piece of spyware and he’s selling my data to the CCP”. 36: This month’s anti-people-named-Sacks content: NYT on Trump AI czar David Sacks’ conflicts of interest; New Yorker on whether neurologist Oliver Sacks used his case studies to work through his own issues rather than presenting them accurately. [EDITED TO ADD: I originally framed it this way as a joke, but on further research I think David and Oliver are related. Wikipedia says that Oliver was first cousins with Israel statesman Abba Eban, and that Abba Eban was born to Lithuanian Jewish parents in Cape Town. David Sacks’ bio says he was born to Jewish parents in Cape Town, and this article specifies that they were Lithuanian. I doubt there were too many Lithuanian Jewish families named Sacks in mid-1900s Cape Town, so sure, related!) 37: Orca Sciences: There Has To Be A Better Way To Make Titanium. Titanium is a great metal - strong, light, and tough. If we had cheap titanium, it could revolutionize manufacturing the way cheap steel and aluminum did in previous eras. So why don’t we? Not because titanium is rare: it’s “the 9th most common element in the earth’s crust”. Rather, it’s very complicated and expensive to extract from its ore. Some kind of breakthrough in titanium extraction processes always seems tantalizingly close, but has never quite materialized. Is there any hope? 38: If Asians Are Lactose Intolerant, Why All The Milk Tea? Lactose intolerance has confused me for a long time - 23andMe tells me that I’m lactose intolerant, but I drink milk regularly without problems, so what’s up? This post’s answer: lactose-intolerant people who don’t usually drink milk will get sick if they start suddenly. Lactose-intolerant people who drink milk regularly since childhood develop gut microbiota that can digest milk, but which demand an expensive “tax” in calories. Lactose-tolerant people will always be able to digest milk and absorb all the calories themselves. 39: How do different majors change college students’ political beliefs? No surprise that the humanities and social sciences shift people left; no surprise that business and economics shift them right. I was a little surprised that engineering shifts people right a little, and that Education of all things shifts people right (albeit only slightly). How is that even possible? Are these people coming in as Mao Zedong and leaving as “only” Leon Trotsky? Also, Political Science is exactly neutral, lol. [EDIT: I misunderstood, they’re using natural sciences as a zero point, this is a reasonable choice but slightly changes the interpretation] 40: Kindkristin: Language models improved my mental health. 41: More floor employment, from the WSJ (h/t @LaocoonofTroy): Big Paychecks Can’t Woo Enough Sailors For America’s Commercial Fleet: “Straight out of college, graduates from the country’s maritime academies can earn more than $200,000 as a commercial sailor, with free food and private accommodations... Despite the pay and perks, maritime jobs go begging, and it is raising national-security concerns.” Other selling points include “six months vacation, live wherever you want, and you’re serving the nation” and onboard “gyms, connectivity, and cuisine”. The catch is that you have to be at sea for months at a time. 42: Study (h/t @KierkegaardEmil): there was minimal “learning loss” from COVID school closures, best estimate is “0.02 standard deviations per 100 days of school closure”. I correctly predicted this back in 2021, but I also wrote in March of this year about how there’s been a general decline in NAEP scores since then. It seems like maybe a student having their specific school closed for longer than other schools didn’t hurt them, but some sort of general cultural change, maybe related to COVID, did hurt. 43: Sam Bankman-Fried’s mother on why she thinks his trial was unfair. SBF is appealing his conviction and will probably be making some of these same points in court. Can’t find a prediction market directly on the appeal, but this one says only 15% chance he serves under 10 years, this one says 15% chance of a Trump pardon, so it doesn’t seem like there’s much room for him to be freed (or get a significantly shorter sentence) on appeal. And Wired says that only 5-10% of appeals like these succeed. 44: Related: Trump pardons Juan Orlando Hernandez, former Honduran president extradited to the US for narco-corruption. Some sources are trying to find a Prospera angle - Prospera and other ZEDEs were approved under JOH’s administration, and the Prosperans seem to have good MAGAworld connections - but I don’t think this is their top priority, and I don’t know if it requires much explanation for Trump to be pro-right-wing Latin American politicians convicted by the Biden administration. More interesting is that apparently JOH and SBF were cellmates (X), “SBF spent extensive time helping JOH with trial prep” and SBF told an interviewer that “Juan Orlando is the most innocent prisoner I’ve met, myself included.” ChatGPT is not impressed with the Trump/SBF case for JOH’s innocence. Related: JOH’s conservative party on track to win this month’s extremely-close Honduran elections, great news for Prospera if it happens. 45: The “100 Above The Park” building in St Louis (h/t Bobby Fijan on X): 46: The death toll of the ongoing Sudan genocide has risen to about 150,000. Nicholas Kristof writes that the world has once again failed to prevent atrocities, and argues that the most important point of leverage is pressure on the United Arab Emirates, which is arming the genociders. Sam Kriss also writes about the situation in The World’s First Matcha Labubu Genocide, but is unimpressed with Kristof’s take: Sudan is passed over in a deeply uncomfortable silence. The absolute most you can do is blame the Emiratis. From what I’ve seen, more people seem to be appalled at the UAE for its frankly marginal role in arming the RSF than at the RSF itself. This is the approved way of understanding any inscrutably indigenous foreign conflict: you just worm out any third-party involvement and then act like you’ve solved the whole thing. I side with Kristof here, for reasons that Sam himself touches on later in his piece, in a section comparing Darfur with Gaza. It would be very easy to make people care about Darfur again. All it would take is a loud, vocal contingent of RSF apologists in the Western media. I agree, but would frame it less cynically: the reason Westerners pay attention to Gaza is that there’s a lever to push: not only does America support Israel, but many of their friends support Israel, so they can imagine convincing America or at least their friends to stop, and at least feel like there is some remote chance of making a small difference (and in fact, Trump getting mad at Israel and deciding to pressure them was decisive in effecting the cease-fire). On the other hand, we don’t have many levers to affect ethnic Baggara in the Rapid Support Forces of Sudan, so it doesn’t really feel useful to write blog posts arguing that they should stop; obviously they should stop, nobody disagrees with this, and it goes without saying - so nobody says it. But the US does support the UAE, and many of our friends like the UAE or at least go there on vacation, so maybe it’s possible to have make some small difference by embarrassing them. 4D chess take is that Sam Kriss agrees with all of this, but “loudly” and “vocally” argued against it to give people like me a hook to write about this genocide with, in which case I thank him for his sacrifice. It would also be nice to be able to donate, but I don’t know who to trust in the region - other than Doctors Without Borders, who are usually pretty good. 47: The AI Futures Project (group of AI-will-be-fast intellectuals) and the AI As A Normal Technology team (group of AI-will-be-slow intellectuals) wrote an adversarial collaboration in Asterisk explaining what they agree on, for example: That there’s an important distinction between existing AI and “strong AGI”
Inline links: Daniel Eth on X, https://substackcdn.com/image/fetch/$s_!kpou!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F9ada4ca1-d833-4fd1-b85a-5982191ce455_679x305.jpeg, my 2023 prediction, Bernie Sanders in, The Oscilleditor: An Algorithmic Breakthrough for Psychedelic Visual Replication (1080p•⚠️SEIZURE), Jesse Arm (X), scientists find a naturally-occuring bat coronavirus with a COVID-like furin cleavage site, has “fallen apart”, 95% chance, here’s a lab leaker arguing that, has a dating doc, From here, https://substackcdn.com/image/fetch/$s_!ByQP!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F90d5dfc6-106a-4afa-9250-371a21c77576_743x133.png, is a fan of, Matt Yglesias comes out as aphantasic, The COVID political backlash [to the Democratic Party] has disappeared., from Rob Wiblin on X, Post-Mortem Of Neoreaction, wades into the David Hume on miracles debate., AI Teddy Bears: A Brief Investigation, https://substackcdn.com/image/fetch/$s_!cOGB!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F20a7acea-b463-485c-8295-f0a5768381d9_416x709.png, Trump AI czar David Sacks’, neurologist Oliver Sacks, says, Abba Eban was, bio, this article, There Has To Be A Better Way To Make Titanium, If Asians Are Lactose Intolerant, Why All The Milk Tea?, How do different majors change college students’ political beliefs?, https://substackcdn.com/image/fetch/$s_!xR53!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa36d404d-9574-4e25-93bb-7ef4d2ca9f9a_940x606.jpeg, as a zero point, Language models improved my mental health, floor employment, @LaocoonofTroy, Big Paychecks Can’t Woo Enough Sailors For America’s Commercial Fleet, Study, @KierkegaardEmil, correctly predicted this, wrote in March of this year, Sam Bankman-Fried’s mother on why she thinks his trial was unfair, appealing his conviction, this one, this one, Trump pardons Juan Orlando Hernandez, Some sources, JOH and SBF were cellmates (X), is not impressed, on track to win, Bobby Fijan on X, https://substackcdn.com/image/fetch/$s_!Gj0x!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd354a169-6127-4815-85b5-940414c632eb_603x900.jpeg, Nicholas Kristof writes, The World’s First Matcha Labubu Genocide, and in fact, Trump getting mad at Israel and deciding to pressure them was decisive in effecting the cease-fire, Doctors Without Borders, an adversarial collaboration in Asterisk explaining what they agree on
If this is to be taken seriously, AI is already a bigger political issue than abortion, climate change, or the environment. I fail my 2023 prediction that there was only a 20% chance this would happen by 2028. 25: Related: Bernie Sanders in The Guardian: “There is a very real fear that, in the not-so-distant future, a super-intelligent AI could replace humans in controlling the planet.” The Left has a complicated relationship with existential risk from AI: they really hate AI, which in theory should push them towards yet another reason to be against it. But they hate AI so much that they need to believe every negative thing about it at the same time, and one of those negative things is that it’s just a scam and will never work, and this naturally pushes against being concerned about x-risk. But as AI improves, will the “just a scam” position become less tenable, shunting the associated psychic energy into other reasons to hate AI (including x-risk concerns)? 26: Qualia Research Institute has released a video describing some of the work they’ve been doing the past year - The Oscilleditor: An Algorithmic Breakthrough for Psychedelic Visual Replication (1080p•⚠️SEIZURE): 27: Jesse Arm (X): “A majority of American rabbinical students are now women. Most are also LGBTQ. That includes Modern Orthodoxy. Remove Modern Orthodoxy and the numbers climb even higher.” Clergy have always served as spiritual counselors; as religions liberalize and other roles become less important, the therapist role starts to predominate. But 75% of therapists in the US are female; at the limit of liberalization where clergyman = therapist, we should expect the same gender ratio. 28: The latest news on the COVID origins debate: scientists find a naturally-occuring bat coronavirus with a COVID-like furin cleavage site. This is a point in favor of the natural origins hypothesis, since the second-best argument for lab leak was that COVID’s furin cleavage site was too strange to evolve naturally. But I think arguments that lab leak has “fallen apart” are premature: the best argument (COVID emerged only a few miles from the biggest coronavirus gain-of-function lab in the Eastern Hemisphere) remains strong. I update from something like 95% chance it’s natural to something like 96%, but not 99.99% or anything. And here’s a lab leaker arguing that COVID’s furin cleavage site is out-of-frame and so still more unnatural-looking than the one on the recently-discovered bat virus. 29: Nicholas Decker (econ blogger, famous for his controversial autistic takes and Secret Service visit) has a dating doc. Most interesting section is the one about children: he wants to have them, but doesn’t think they should be genetically related to him. From here: If this appeals to you, you can find his contact info on the document. Related: Governor Jared Polis of Colorado is a fan of Nicholas Decker and Richard Hanania. 30: Matt Yglesias comes out as aphantasic (unable to see images in his “mind’s eye”). He says that contra the usual perspective that frames this as a deficit, he finds it helpful. For example, once he got assaulted, and he remembers on an intellectual level that it happened, but since “I wasn’t taking pictures of myself getting kicked in the head so, as far as I’m concerned, it’s like it happened to someone else” (Matt usually has good instincts, so I’m surprised he uses an example which will be such catnip to his conservative critics). He thinks it makes him a better reasoner / statistics blogger / effective altruist to be able to “get a statistically valid view of the situation, not overindex on the happenstance of your life.” For what it’s worth, I’ll give my contrary data point - I think of myself as a reasoner / statistics blogger / effective altruist in a pretty similar vein as Matt, but AFAICT my visual imagination is totally normal; if other people are having their emotions yanked around by vivid images, that’s a skill issue. 31: Lakshya Jain in The Argument: The COVID political backlash [to the Democratic Party] has disappeared. Despite the narrative, polls show that voters don’t favor or disfavor either party over COVID, mostly still think school closures were necessary, and are about evenly split on vaccine mandates. I guess I can’t disagree with this poll - it seems well-done - but I still wonder whether something is being missed. Maybe it didn’t make the ~50% of voters who are naturally liberal desert the cause, but it energized conservatives in a way that might otherwise not have happened? Related, from Rob Wiblin on X, on balance Britons think the government response to COVID was not strict enough. 32: Related: Back when neoreaction was a big deal, I occasionally discussed posts by neoreactionary blogger Spandrell of Bloody Shovel. If you’re wondering what happened to him, you can read his 2024 Post-Mortem Of Neoreaction here, where he discusses how he fell out of love with the movement (warning: he has not fallen out of love with racial slurs). As a former fascist sympathizer, I can see why [fascism is on the downswing]. The allure of fascism in 2024 is much, much diminished. For a few reasons. A big one was COVID. See, the point of fascism is that Collective Action is necessary to have nice things. We need a strong government committed to the good of the people. Yarvin showed his preference early when he started his new Substack by quoting Cicero’s phrase “Salus populi suprema lex”. The health of the people is the most important law. Cicero wasn’t a fascist of course, nor is Yarvin really; a big point of fascism is to narrowly define the populus as an ethnic group with demonstrable ties to blood. That makes the government’s ties to the people stronger, increasing their commitment to do Good Collective Action. Which is important. Very important. A lot of good things can come of intelligently done Collective Action. Fascist Italy made the trains run on time. Nazi Germany fixed the terrible Weimar economy. East Asian countries are all effectively fascist states, if with less ideological baggage (yellows just aren’t like that), and they are all nice, clean, safe places with healthy economies. Fascism is not a panacea but it works, when you let it. Strong government can be pretty neat. So why is strong government less appealing these days? Well, COVID happened. And our governments were pretty damn strong in dealing with it. They made strong laws and enforced them. And what did they do with their power? Absolutely retarded shit. They destroyed the world economy and made 95% of people completely miserable for 18 months. Up to 3 long years in some places. Again, as an Orient enjoyer I was very sympathetic of strong effective government. My life has been pretty cozy thanks to it for the past decades. But after seeing boomers, hypochondriacs, and menopausal women take the reins and use it against healthy people, I’m fucking done with strong effective government. Fuck that shit, I’m out. I don’t want to see strong effective government ever again. I was very lucky that I was out of China in November 2019. It was a fluke really. I moved to the Golden Triangle after that and the law of the jungle was much, much nicer during the Doctors Plague of 2020-2022. But I spent a few months in Europe during the time and man, that was brutal. Not just seeing how retarded governments were; the level of compliance by the people was so disheartening. Imagine being a sincere fascist and seeing your people behave like that. These are my people? My Volk? Am I supposed to sacrifice life and limb for the salus of this populus? Fuck that. Let them cook, they deserve everything that’s coming to them [...] Is there a way to make the body healthy again? I do think so. I think there’s still place for a successor right wing ideology which is neither Christian fundamentalism or robot worship. And it will happen; but it won’t happen on Twitter. Maybe it can happen on Urbit, or right here in this site. I have some ideas myself, and I invite you to join me and build this together. It would be funny if the solution to the paradox Jain highlights was that for every time a COVID lockdown turned a liberal into a conservative, it turned one fascist into a moderate, for a net rightward shift of zero. 33: Also from an Argument poll: In a hypothetical Presidential matchup, Gavin Newsom beats JD Vance 54-46. I’m split between the usual heuristic of ignoring any polling more than a year before an election, and the fact that this is a remarkably big lead for polarized 21st century America. 34: Jerl wades into the David Hume on miracles debate. 35: AI Teddy Bears: A Brief Investigation. The good news is that your child’s AI teddy bear is hard to jailbreak and probably will not tell them where to find guns: The other good news is that somehow they don’t charge a subscription, which makes them a way to get usually-subscription-only AI models for free. How is this possible? “[The most likely hypothesis is that] Witpaw is an adorable piece of spyware and he’s selling my data to the CCP”. 36: This month’s anti-people-named-Sacks content: NYT on Trump AI czar David Sacks’ conflicts of interest; New Yorker on whether neurologist Oliver Sacks used his case studies to work through his own issues rather than presenting them accurately. [EDITED TO ADD: I originally framed it this way as a joke, but on further research I think David and Oliver are related. Wikipedia says that Oliver was first cousins with Israel statesman Abba Eban, and that Abba Eban was born to Lithuanian Jewish parents in Cape Town. David Sacks’ bio says he was born to Jewish parents in Cape Town, and this article specifies that they were Lithuanian. I doubt there were too many Lithuanian Jewish families named Sacks in mid-1900s Cape Town, so sure, related!) 37: Orca Sciences: There Has To Be A Better Way To Make Titanium. Titanium is a great metal - strong, light, and tough. If we had cheap titanium, it could revolutionize manufacturing the way cheap steel and aluminum did in previous eras. So why don’t we? Not because titanium is rare: it’s “the 9th most common element in the earth’s crust”. Rather, it’s very complicated and expensive to extract from its ore. Some kind of breakthrough in titanium extraction processes always seems tantalizingly close, but has never quite materialized. Is there any hope? 38: If Asians Are Lactose Intolerant, Why All The Milk Tea? Lactose intolerance has confused me for a long time - 23andMe tells me that I’m lactose intolerant, but I drink milk regularly without problems, so what’s up? This post’s answer: lactose-intolerant people who don’t usually drink milk will get sick if they start suddenly. Lactose-intolerant people who drink milk regularly since childhood develop gut microbiota that can digest milk, but which demand an expensive “tax” in calories. Lactose-tolerant people will always be able to digest milk and absorb all the calories themselves. 39: How do different majors change college students’ political beliefs? No surprise that the humanities and social sciences shift people left; no surprise that business and economics shift them right. I was a little surprised that engineering shifts people right a little, and that Education of all things shifts people right (albeit only slightly). How is that even possible? Are these people coming in as Mao Zedong and leaving as “only” Leon Trotsky? Also, Political Science is exactly neutral, lol. [EDIT: I misunderstood, they’re using natural sciences as a zero point, this is a reasonable choice but slightly changes the interpretation] 40: Kindkristin: Language models improved my mental health. 41: More floor employment, from the WSJ (h/t @LaocoonofTroy): Big Paychecks Can’t Woo Enough Sailors For America’s Commercial Fleet: “Straight out of college, graduates from the country’s maritime academies can earn more than $200,000 as a commercial sailor, with free food and private accommodations... Despite the pay and perks, maritime jobs go begging, and it is raising national-security concerns.” Other selling points include “six months vacation, live wherever you want, and you’re serving the nation” and onboard “gyms, connectivity, and cuisine”. The catch is that you have to be at sea for months at a time. 42: Study (h/t @KierkegaardEmil): there was minimal “learning loss” from COVID school closures, best estimate is “0.02 standard deviations per 100 days of school closure”. I correctly predicted this back in 2021, but I also wrote in March of this year about how there’s been a general decline in NAEP scores since then. It seems like maybe a student having their specific school closed for longer than other schools didn’t hurt them, but some sort of general cultural change, maybe related to COVID, did hurt. 43: Sam Bankman-Fried’s mother on why she thinks his trial was unfair. SBF is appealing his conviction and will probably be making some of these same points in court. Can’t find a prediction market directly on the appeal, but this one says only 15% chance he serves under 10 years, this one says 15% chance of a Trump pardon, so it doesn’t seem like there’s much room for him to be freed (or get a significantly shorter sentence) on appeal. And Wired says that only 5-10% of appeals like these succeed. 44: Related: Trump pardons Juan Orlando Hernandez, former Honduran president extradited to the US for narco-corruption. Some sources are trying to find a Prospera angle - Prospera and other ZEDEs were approved under JOH’s administration, and the Prosperans seem to have good MAGAworld connections - but I don’t think this is their top priority, and I don’t know if it requires much explanation for Trump to be pro-right-wing Latin American politicians convicted by the Biden administration. More interesting is that apparently JOH and SBF were cellmates (X), “SBF spent extensive time helping JOH with trial prep” and SBF told an interviewer that “Juan Orlando is the most innocent prisoner I’ve met, myself included.” ChatGPT is not impressed with the Trump/SBF case for JOH’s innocence. Related: JOH’s conservative party on track to win this month’s extremely-close Honduran elections, great news for Prospera if it happens. 45: The “100 Above The Park” building in St Louis (h/t Bobby Fijan on X): 46: The death toll of the ongoing Sudan genocide has risen to about 150,000. Nicholas Kristof writes that the world has once again failed to prevent atrocities, and argues that the most important point of leverage is pressure on the United Arab Emirates, which is arming the genociders. Sam Kriss also writes about the situation in The World’s First Matcha Labubu Genocide, but is unimpressed with Kristof’s take: Sudan is passed over in a deeply uncomfortable silence. The absolute most you can do is blame the Emiratis. From what I’ve seen, more people seem to be appalled at the UAE for its frankly marginal role in arming the RSF than at the RSF itself. This is the approved way of understanding any inscrutably indigenous foreign conflict: you just worm out any third-party involvement and then act like you’ve solved the whole thing. I side with Kristof here, for reasons that Sam himself touches on later in his piece, in a section comparing Darfur with Gaza. It would be very easy to make people care about Darfur again. All it would take is a loud, vocal contingent of RSF apologists in the Western media. I agree, but would frame it less cynically: the reason Westerners pay attention to Gaza is that there’s a lever to push: not only does America support Israel, but many of their friends support Israel, so they can imagine convincing America or at least their friends to stop, and at least feel like there is some remote chance of making a small difference (and in fact, Trump getting mad at Israel and deciding to pressure them was decisive in effecting the cease-fire). On the other hand, we don’t have many levers to affect ethnic Baggara in the Rapid Support Forces of Sudan, so it doesn’t really feel useful to write blog posts arguing that they should stop; obviously they should stop, nobody disagrees with this, and it goes without saying - so nobody says it. But the US does support the UAE, and many of our friends like the UAE or at least go there on vacation, so maybe it’s possible to have make some small difference by embarrassing them. 4D chess take is that Sam Kriss agrees with all of this, but “loudly” and “vocally” argued against it to give people like me a hook to write about this genocide with, in which case I thank him for his sacrifice. It would also be nice to be able to donate, but I don’t know who to trust in the region - other than Doctors Without Borders, who are usually pretty good. 47: The AI Futures Project (group of AI-will-be-fast intellectuals) and the AI As A Normal Technology team (group of AI-will-be-slow intellectuals) wrote an adversarial collaboration in Asterisk explaining what they agree on, for example: That there’s an important distinction between existing AI and “strong AGI”
Inline links: my 2023 prediction, Bernie Sanders in, The Oscilleditor: An Algorithmic Breakthrough for Psychedelic Visual Replication (1080p•⚠️SEIZURE), Jesse Arm (X), scientists find a naturally-occuring bat coronavirus with a COVID-like furin cleavage site, has “fallen apart”, 95% chance, here’s a lab leaker arguing that, has a dating doc, From here, https://substackcdn.com/image/fetch/$s_!ByQP!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F90d5dfc6-106a-4afa-9250-371a21c77576_743x133.png, is a fan of, Matt Yglesias comes out as aphantasic, The COVID political backlash [to the Democratic Party] has disappeared., from Rob Wiblin on X, Post-Mortem Of Neoreaction, wades into the David Hume on miracles debate., AI Teddy Bears: A Brief Investigation, https://substackcdn.com/image/fetch/$s_!cOGB!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F20a7acea-b463-485c-8295-f0a5768381d9_416x709.png, Trump AI czar David Sacks’, neurologist Oliver Sacks, says, Abba Eban was, bio, this article, There Has To Be A Better Way To Make Titanium, If Asians Are Lactose Intolerant, Why All The Milk Tea?, How do different majors change college students’ political beliefs?, https://substackcdn.com/image/fetch/$s_!xR53!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa36d404d-9574-4e25-93bb-7ef4d2ca9f9a_940x606.jpeg, as a zero point, Language models improved my mental health, floor employment, @LaocoonofTroy, Big Paychecks Can’t Woo Enough Sailors For America’s Commercial Fleet, Study, @KierkegaardEmil, correctly predicted this, wrote in March of this year, Sam Bankman-Fried’s mother on why she thinks his trial was unfair, appealing his conviction, this one, this one, Trump pardons Juan Orlando Hernandez, Some sources, JOH and SBF were cellmates (X), is not impressed, on track to win, Bobby Fijan on X, https://substackcdn.com/image/fetch/$s_!Gj0x!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd354a169-6127-4815-85b5-940414c632eb_603x900.jpeg, Nicholas Kristof writes, The World’s First Matcha Labubu Genocide, and in fact, Trump getting mad at Israel and deciding to pressure them was decisive in effecting the cease-fire, Doctors Without Borders, an adversarial collaboration in Asterisk explaining what they agree on
No surprise that the humanities and social sciences shift people left; no surprise that business and economics shift them right. I was a little surprised that engineering shifts people right a little, and that Education of all things shifts people right (albeit only slightly). How is that even possible? Are these people coming in as Mao Zedong and leaving as “only” Leon Trotsky? Also, Political Science is exactly neutral, lol. [EDIT: I misunderstood, they’re using natural sciences as a zero point, this is a reasonable choice but slightly changes the interpretation] 40: Kindkristin: Language models improved my mental health. 41: More floor employment, from the WSJ (h/t @LaocoonofTroy): Big Paychecks Can’t Woo Enough Sailors For America’s Commercial Fleet: “Straight out of college, graduates from the country’s maritime academies can earn more than $200,000 as a commercial sailor, with free food and private accommodations... Despite the pay and perks, maritime jobs go begging, and it is raising national-security concerns.” Other selling points include “six months vacation, live wherever you want, and you’re serving the nation” and onboard “gyms, connectivity, and cuisine”. The catch is that you have to be at sea for months at a time. 42: Study (h/t @KierkegaardEmil): there was minimal “learning loss” from COVID school closures, best estimate is “0.02 standard deviations per 100 days of school closure”. I correctly predicted this back in 2021, but I also wrote in March of this year about how there’s been a general decline in NAEP scores since then. It seems like maybe a student having their specific school closed for longer than other schools didn’t hurt them, but some sort of general cultural change, maybe related to COVID, did hurt. 43: Sam Bankman-Fried’s mother on why she thinks his trial was unfair. SBF is appealing his conviction and will probably be making some of these same points in court. Can’t find a prediction market directly on the appeal, but this one says only 15% chance he serves under 10 years, this one says 15% chance of a Trump pardon, so it doesn’t seem like there’s much room for him to be freed (or get a significantly shorter sentence) on appeal. And Wired says that only 5-10% of appeals like these succeed. 44: Related: Trump pardons Juan Orlando Hernandez, former Honduran president extradited to the US for narco-corruption. Some sources are trying to find a Prospera angle - Prospera and other ZEDEs were approved under JOH’s administration, and the Prosperans seem to have good MAGAworld connections - but I don’t think this is their top priority, and I don’t know if it requires much explanation for Trump to be pro-right-wing Latin American politicians convicted by the Biden administration. More interesting is that apparently JOH and SBF were cellmates (X), “SBF spent extensive time helping JOH with trial prep” and SBF told an interviewer that “Juan Orlando is the most innocent prisoner I’ve met, myself included.” ChatGPT is not impressed with the Trump/SBF case for JOH’s innocence. Related: JOH’s conservative party on track to win this month’s extremely-close Honduran elections, great news for Prospera if it happens. 45: The “100 Above The Park” building in St Louis (h/t Bobby Fijan on X): 46: The death toll of the ongoing Sudan genocide has risen to about 150,000. Nicholas Kristof writes that the world has once again failed to prevent atrocities, and argues that the most important point of leverage is pressure on the United Arab Emirates, which is arming the genociders. Sam Kriss also writes about the situation in The World’s First Matcha Labubu Genocide, but is unimpressed with Kristof’s take: Sudan is passed over in a deeply uncomfortable silence. The absolute most you can do is blame the Emiratis. From what I’ve seen, more people seem to be appalled at the UAE for its frankly marginal role in arming the RSF than at the RSF itself. This is the approved way of understanding any inscrutably indigenous foreign conflict: you just worm out any third-party involvement and then act like you’ve solved the whole thing. I side with Kristof here, for reasons that Sam himself touches on later in his piece, in a section comparing Darfur with Gaza. It would be very easy to make people care about Darfur again. All it would take is a loud, vocal contingent of RSF apologists in the Western media. I agree, but would frame it less cynically: the reason Westerners pay attention to Gaza is that there’s a lever to push: not only does America support Israel, but many of their friends support Israel, so they can imagine convincing America or at least their friends to stop, and at least feel like there is some remote chance of making a small difference (and in fact, Trump getting mad at Israel and deciding to pressure them was decisive in effecting the cease-fire). On the other hand, we don’t have many levers to affect ethnic Baggara in the Rapid Support Forces of Sudan, so it doesn’t really feel useful to write blog posts arguing that they should stop; obviously they should stop, nobody disagrees with this, and it goes without saying - so nobody says it. But the US does support the UAE, and many of our friends like the UAE or at least go there on vacation, so maybe it’s possible to have make some small difference by embarrassing them. 4D chess take is that Sam Kriss agrees with all of this, but “loudly” and “vocally” argued against it to give people like me a hook to write about this genocide with, in which case I thank him for his sacrifice. It would also be nice to be able to donate, but I don’t know who to trust in the region - other than Doctors Without Borders, who are usually pretty good. 47: The AI Futures Project (group of AI-will-be-fast intellectuals) and the AI As A Normal Technology team (group of AI-will-be-slow intellectuals) wrote an adversarial collaboration in Asterisk explaining what they agree on, for example: That there’s an important distinction between existing AI and “strong AGI”
Inline links: as a zero point, Language models improved my mental health, floor employment, @LaocoonofTroy, Big Paychecks Can’t Woo Enough Sailors For America’s Commercial Fleet, Study, @KierkegaardEmil, correctly predicted this, wrote in March of this year, Sam Bankman-Fried’s mother on why she thinks his trial was unfair, appealing his conviction, this one, this one, Trump pardons Juan Orlando Hernandez, Some sources, JOH and SBF were cellmates (X), is not impressed, on track to win, Bobby Fijan on X, https://substackcdn.com/image/fetch/$s_!Gj0x!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd354a169-6127-4815-85b5-940414c632eb_603x900.jpeg, Nicholas Kristof writes, The World’s First Matcha Labubu Genocide, and in fact, Trump getting mad at Israel and deciding to pressure them was decisive in effecting the cease-fire, Doctors Without Borders, an adversarial collaboration in Asterisk explaining what they agree on
In such a situation, greatness is pathetically easy. A random woman gave Jesus a washcloth to wipe his face on the way to his crucifixion. She is now known as St. Veronica, patroness of laundry workers, and one out of every 2,500 girls in America is named in her honor. She has an annual feast day, approximately one million beautiful Renaissance paintings, a chapel in Jerusalem, and lesser churches all around the world (including one here in San Francisco). The richest olive merchant in Jerusalem that year is long forgotten, but she endures.
Will Trump turn America into a dictatorship? Make it great again? Somewhere in between?
If America nation-builds Venezuela, for whatever definition of nation-build, will that work well, or backfire?
If America nation-builds Venezuela, for whatever definition of nation-build, will that work well, or backfire? Some of these are long-horizon, some are conditional, and some are hard to resolve. There are potential solutions to all these problems. But why worry about them when you can go to the moon on sports bets? Annals of The Rulescucks The new era of prediction markets has provided charming additions to the language, including “rulescuck” - someone who loses an otherwise-prescient bet based on technicalities of the resolution criteria. Resolution criteria are the small print explaining what counts as the prediction market topic “happening'“. For example, in the Khameini example above, Khameini qualifies as being “out of power” if: …he resigns, is detained, or otherwise loses his position or is prevented from fulfilling his duties as Supreme Leader of Iran within this market's timeframe. The primary resolution source for this market will be a consensus of credible reporting. You can imagine ways this definition departs from an exact common-sensical concept of “out of power” - for example, if Khameini gets stuck in an elevator for half an hour and misses a key meeting, does this count as him being “prevented from fulfilling his duties”? With thousands of markets getting resolved per month, chances are high that at least one will hinge upon one of these edge cases. Kalshi resolves markets by having a staff member with good judgment decide whether or not the situation satisfies the resolution criteria. Polymarket resolves markets by . . . oh man, how long do you have? There’s a cryptocurrency called UMA. UMA owners can stake it to vote on Polymarket resolutions in an associated contract called the UMA Oracle. Voters on the losing side get their cryptocurrency confiscated and given to the winners. This creates a Keynesian beauty contest, ie a situation where everyone tries to vote for the winning side. The most natural Schelling point is the side which is actually correct. If someone tries to attack the oracle by buying lots of UMA and voting for the wrong side, this incentivizes bystanders to come in and defend the oracle by voting for the right side, since (conditional on there being common knowledge that everyone will do this) that means they get free money at the attackers’ expense. But also, the UMA currency goes up in value if people trust the oracle and plan to use it more often, and it goes down if people think the oracle is useless and may soon get replaced by other systems. So regardless of their other incentives, everyone who owns the currency has an incentive to vote for the true answer so that people keep trusting the oracle. This system works most of the time, but tends towards so-called “oracle drama” where seemingly prosaic resolutions might lie at the end of a thrilling story of attacks, counterattacks, and escalations. Here are some of the most interesting alleged rulescuckings of 2026: Mr Ozi: Will Zelensky wear a suit? Ivan Cryptoslav calls this “the most infamous example in Polymarket history”. Ukraine’s president dresses mostly in military fatigues, vowing never to wear a suit until the war is over. As his sartorial notoriety spread, Polymarket traders bet over $100 million on the question of whether he would crack in any given month. At the Pope’s funeral, Zelensky showed up in a respectful-looking jacket which might or might not count. Most media organizations refused to describe it as a “suit”, so the decentralized oracle ruled against. But over the next few months, Zelensky continued to straddle the border of suithood, and the media eventually started using the word “suit” in their articles. This presented a quandary for the oracle, which was supposed to respect both the precedent of its past rulings, and the consensus of media organizations. Voters switched sides several times until finally settling on NO; true suit believers were unsatisfied with this decision. For what it’s worth, the Twitter menswear guy told Wired that “It meets the technical definition, [but] I would also recognize that most people would not think of that as a suit.” Domer: Will Ukraine agree to the US mineral deal? AFAICT, this is the only case where the oracle genuinely broke down (as opposed to a legitimate disagreement). In February, it looked like both America and Ukraine had agreed to a mineral deal, but the oracle considered the question and decided this didn’t count as a full agreement (and indeed, the apparent agreement then fell apart). In March, a cabal of YES holders tried again. They waited for a time when all Polymarket employees would be out of the office, and when not too many people would be voting on the decentralized resolution oracle, then spammed it with calls to resolve to YES based on an argument that the February agreement had qualified after all. The YES holders and not-particularly-plugged-in oracle voters pushed the vote towards YES. Then, with two minutes to spare, a Polymarket employee showed up and said that Polymarket’s opinion was that it should be NO. This was technically framed as a recommendation to oracle voters, but it is so effective in establishing the Schelling point that it’s practically always followed. However, in this case, there were only two minutes left, which wasn’t enough time for the voters to change their mind. Seeing that the resolution was trending towards yes, the Polymarket representatives, not wanting to break their streak of always establishing the Schelling point, changed their own opinion to YES, and the final vote was YES 99%. Domer: How many people watched the Oscars on 3/5/25?: Kalshi’s resolution criteria for this market said they would resolve it when a major news source published Oscar viewership numbers. A few minutes after the Oscars, NYT published preliminary viewership numbers, without any caveats saying they were preliminary. The next day, they published another article saying that actually, the real viewership numbers were higher. Kalshi decided that the letter of the resolution criteria was met when NYT published its first article, and that NYT changing its opinion didn’t imply that Kalshi should change the resolution. Traders who bet on the later (ie correct) numbers were unsatisfied with this decision. NYPost: Will America invade Venezuela? On January 3, the US bombed Venezuela, sent in a Special Forces team that successfully captured President Maduro, and announced that they would thenceforward “run the country” (a claim they later walked back). Does this qualify as an “invasion”? Polymarket’s resolution criteria defined “invasion” as “a military offensive intended to establish control over any portion of Venezuela”. It didn’t seem like the US was trying to establish control over Venezuelan territory, exactly, so they resolved NO. Traders who bet on YES were unsatisfied with this decision. With one exception, these aren’t outright oracle failures. They’re honest cases of ambiguous rules. Most of the links end with pleas for Polymarket to get better at clarifying rules. My perspective is that the few times I’ve talked to Polymarket people, I’ve begged them to implement various cool features, and they’ve always said “Nope, sorry, too busy figuring out ways to make rules clearer”. Prediction market people obsess over maximally finicky resolution criteria, but somehow it’s never enough - you just can’t specify every possible state of the world beforehand. The most interesting proposal I’ve seen in this space is to make LLMs do it; you can train them on good rulesets, and they’re tolerant enough of tedium to print out pages and pages of every possible edge case without going crazy. It’ll be fun the first time one of them hallucinates, though. …And Miscellaneous N’er-Do-Wells I include this section under protest. The media likes engaging with prediction markets through dramatic stories about insider trading and market manipulation. This is as useful as engaging with Waymo through stories about cats being run over. It doesn’t matter whether you can find one lurid example of something going wrong. What matters is the base rates, the consequences, and the alternatives. Polymarket resolves about a thousand markets a month, and Kalshi closer to five thousand. It’s no surprise that a few go wrong; it’s even less surprise that there are false accusations of a few going wrong. Still, I would be remiss to not mention this at all, so here are some of the more interesting stories: Fhantombets: Who will win the 2025 Nobel Peace Prize? Twelve hours before the announcement, someone placed a large Polymarket bet on Venezuelan opposition leader Maria Corina Machado, bringing her probability from 4% to 73%. When Machado later won, observers suspected insider trading. But an account named fhantombets claims to have interviewed the winning trader; although he did not reveal his exact strategy, the interview better matches a story where he was good at navigating WordPress directories, and found that the Nobel team put a draft of the announcement up early in a nonpublic part of their WordPress site. He won about $70,000. LuishXYZ: Will the Russians capture Myrnohrad? This is a small town in Ukraine that the Russians obviously were not going to capture; the Polymarket price trended toward zero. The resolution criteria named maps by the well-regarded Institute For The Study of War as canon. A few hours before resolution, ISW updated their maps to show the the town captured by Russia, which was definitely false. Polymarket resolved to YES, and the fictional Russian advance disappeared. The Institute then issued a statement saying the map update was “unapproved”, and fired one of its staffers who had presumably been involved. The cheater’s exact winnings are unknown, but based on the size of the market are probably mid-6-digits. TechCrunch: What words will be used in Coinbase’s earnings call? Coinbase CEO Brian Armstrong delivered the company’s “earnings call”, ie a speech to investors about its recent progress. At the end, he said “I've been tracking the prediction market about what Coinbase will say on their next earnings call, and I just want to add here the words Bitcoin, Ethereum, Blockchain, Staking, and Web3 to make sure we get those in before the end of the call”. Armstrong is worth $10 billion and doesn’t need to manipulate a $50,000 market for the money - he later described his comments as “trolling”. Other crypto executives condemned the move, with one saying that “you need your head examined if you think it’s cute or clever or savvy that the CEO of the biggest company in this industry openly manipulated a market.” I might need my head examined, because I think it’s at least kind of funny. Forbes: Who will rank highest on Google Search volume this year? A trader called AlphaRaccoon got 22/23 of these Polymarket questions right, and has a history of implausibly good performance on Google-related questions. They basically have to be a Google insider, but (since all of this is done through crypto) nobody has a good way to figure out who. They made $1 million. NPR: Will Maduro be captured? Just before the secret operation that captured Maduro, someone placed a mysterious $32,000 wager on YES. Was this insider trading by someone in the administration or military? Nobody knows, since the profits go to an anonymous crypto wallet. But the article mentions that the crypto wallet appears to be cashing out through regulated KYC-compliant US exchanges, which suggests they’re not very worried about their identity getting discovered. Maybe they just got lucky after all. AlanMCole: How long will Karoline Leavitt speak at the White House briefing? Karoline Leavitt is Trump’s press secretary. On January 7, she held an ordinary press briefing. Kalshi had its usual market about how long the briefing would last, divided into bins of greater than vs. less than 65 minutes. At the 64:24 mark, Leavitt ended the conference in what appeared to be a sudden manner, and the “less than 65 minutes” bin shot from 2% to 100%. A viral tweet convinced many people that Leavitt must have been insider trading, but Cole counterargued that Leavitt could only have won about $4,000 from the market, which probably isn’t enough to risk one’s job as White House Press Secretary. Sometimes people just end press conferences at weird times. Cole concluded: Now, some opinions and generalizations, as someone who looks at prediction markets plenty (I’ll probably write something about my own experience with them at some point.) 1. This market, like many of them, is pretty stupid. I like substantive markets; this isn’t substantive. 2. The major prediction markets have a wildly undisciplined comms strategy where any attention is good attention, and they love implying all sorts of crazy wild west stuff is going on to get attention. 3. People do bet on things potentially subject to manipulation or insider trading. But usually the markets like that (such as duration of press conference, or stupid “what will be mentioned” markets) are small, especially relative to the wealth of key decisionmakers. 4. Losers in markets are huge whiners, and the more frivolous and tiny their bets, the more likely they are to whine. Sometimes in sports it’s pretty egregious. They’ll get mad at a team for running out the clock when ahead but under some spread they bet on. 5. Lower-quality financial news often doesn’t pay much attention to quantity. (For example, dumb stories about how a decisionmaker has a conflict of interest because they’re invested in an index fund which is 3 percent comprised of some company.) 6. Given the platforms’ undisciplined social media strategy of “promote prediction market chatter no matter what kind of chatter it is,” I don’t think this tweet rises even to the status of “lower-quality financial news.” Kalshi’s team, whatever their faults, are extraordinarily efficient at getting batched approvals of many near-identical markets with slight parameter variation; I’ve seen Tarek speak about this on Odd Lots. The result is they’ve got TONS of them, for better or worse. You’re gonna see 1-in-100 upsets on tiny Kalshi markets for as long as this regulatory equilibrium holds, even if nothing unusual is going on, simply because they’re publishing hundreds (thousands?) of markets per day. There’s a saying that you can’t con an honest man. This isn’t exactly true. But it’s easier to con people who are playing in a “what words will Brian Armstrong say today” market than people who are trying to do something useful, and I have trouble feeling sorry for these people when Brian Armstrong says silly words. Conditional Markets: A Modest Proposal Conditional markets (“decision markets”) are the strongest case for prediction markets potentially being revolutionary. The idea is - you may want to base a decision (like which candidate to elect) on an outcome (like how they’ll affect the economy). So you make two markets: If the Democrat gets elected, will the economy be good four years later?
Inline links: UMA Oracle, Keynesian beauty contest, Will Zelensky wear a suit?, calls this, told Wired, Will Ukraine agree to the US mineral deal?, How many people watched the Oscars on 3/5/25?, another article, Will America invade Venezuela?, stories about cats, Who will win the 2025 Nobel Peace Prize?, claims, Will the Russians capture Myrnohrad?, a statement, What words will be used in Coinbase’s earnings call?, described, Who will rank highest on Google Search volume this year?, Will Maduro be captured?, How long will Karoline Leavitt speak at the White House briefing?
In conjunction with the President's directive for the Federal Government to cease all use of Anthropic's technology, I am directing the Department of War to designate Anthropic a Supply-Chain Risk to National Security. Effective immediately, no contractor, supplier, or partner that does business with the United States military may conduct any commercial activity with Anthropic.
While the general elections in the United States demonstrated the resilience of the country’s democratic institutions, the election process took place in a highly polarized environment. The election was well run, and candidates campaigned freely across the country with the active participation of voters. However, the campaign was marred by disinformation and instances of violence, including harsh and intolerant rhetoric. Repeated, unfounded claims of election fraud negatively impacted public trust.
On Friday, the Pentagon declared AI company Anthropic a “supply chain risk”, a designation never before given to an American firm. This unprecedented move was seen as an attempt to punish, maybe destroy the company. How effective was it?
SUPPORTER: America needs to start talking to China to come up with a bilateral agreement to pause AI. The agreement would need to be transparent, mutually enforceable, and…
OPPONENT: You foolishly think that if America paused, everything would be fine. But there’s a flaw in your utopian high modernist plan - our enemies won’t pause!
…and added that “I concentrate on America [because] China has shown more interest in slowing down and regulating.” If you think someone is demanding a unilateral pause, I think you have a responsibility to say who it is you’re talking about. If you can really find someone like this, I’ll criticize them just as hard as you are.
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