Astral Codex Ten

Publications: S

1248 min read

Publications: S

Substacks, magazines, zines, journals, and publications referenced in the archive. This section collects the S slice of the category index.

Reference Index

Use the title to open the reference entry. Use the caret to expand a compact inline dossier with source context, issue trail, related pages, and outbound links.

Substack75 mentions across 75 issues

Substack is a recurring publication in the Astral Codex Ten archive, appearing 75 times across 75 issues between February 08, 2021 and April 06, 2026. The archive places it in contexts such as "I understand Substack is still working on various concerns about the commenting system"; "moved to Substack and made a lot of money"; "I hear Substack is pretty good!". It most often appears alongside Trump, Scott, China.

Article page
Substack
Mention count
75
Issue count
75
First seen
February 08, 2021
Last seen
April 06, 2026
Outbound links
Issue trail
Related pages
Source context
Open Thread 159
February 08, 2021 · Original source
1. I understand Substack is still working on various concerns about the commenting system. While you’re waiting, if your specific concern is about getting reply emails when people heart your comments, “you can set up a filter to delete emails from reaction@mg1.substack.com. Reply notifications come from a different email address, forum@mg1.substack.com, so they won't be affected.” Thanks to u/HonestyIsForTheBirds from the subreddit for this tip.
Inline links: reaction@mg1.substack.com, forum@mg1.substack.com, from the subreddit
Statement on New York Times Article
February 14, 2021 · Original source
The New York Times backed off briefly as I stopped publishing, but I was also warned by people “in the know” that as soon as they got an excuse they would publish something as negative as possible about me, in order to punish me for embarrassing them. I didn’t want to spend the rest of my life in hiding, so I took various steps to make this more survivable, including quitting my previous job so my employers and coworkers would not get embroiled in my problems, and taking some steps to improve my personal safety. After doing all these things, I started blogging again, this time under my real name so that I would not be under the constant threat of doxxing in the future. Predictably, the NYT piece came out soon after, and predictably, it was very negative. I want to respond to four main negative claims in the article – there are more, but these should give a general sketch of why I feel it was unfair:
Inline links: started blogging again
Also, this became a weird go-to thing for people who wanted to do hatchet jobs to hit me with, so much so that sometime before 2017 I edited the post involved telling people not to do that. I can’t remember exactly when this happened, but here’s the 2017 archive.is version showing the change already existed then. For at least the past three years, the paragraph in question has looked like this: The journalist involved hasn’t known about Slate Star Codex for three years, so this is undoubtedly the version he read, and he still chose to make this attack. I have 1,557 other posts worth of material he could have used, and the sentence he chose to go with was the one that was crossed out and included a plea for people to stop taking it out of context.
Inline links: the 2017 archive.is version, https://substackcdn.com/image/fetch/$s_!DpaI!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F886e41a4-cc22-4a9b-96b0-11fbf6ff4c93_683x249.png
The journalist involved hasn’t known about Slate Star Codex for three years, so this is undoubtedly the version he read, and he still chose to make this attack. I have 1,557 other posts worth of material he could have used, and the sentence he chose to go with was the one that was crossed out and included a plea for people to stop taking it out of context.
A Modest Proposal For Republicans: Use The Word "Class"
February 25, 2021 · Original source
Read this first: Book Review: Fussell On Class
Inline links: Book Review: Fussell On Class
Yeah, yeah, "class" sounds Marxist, class warfare and all that, you're supposed to be against that kind of thing, right? Wrong. Economic class warfare is Marxist, but here in the US class isn't a purely economic concept. Class is also about culture. You're already doing class warfare, you're just doing it blindly and confusedly. Instead, do it openly, while using the words "class" and “classism”.
Inline links: also about culture
Instead, just use the words "class" and “classism”. Say "Hey, we Republicans want to be the party of the working class. We are concerned about the rising power of the upper class, and we are dedicated to stamping out classism." This is what happens when nobody uses the word “class”! It's the 21st century; having principles is out of style. Politics is motivated by tribal hatred. You tell your people that the other side hates them and wants to kill them; they need to fight back. The Democrats are great at this - cis white men hate you, they deny your right to exist, the cruelty is the point, resist or be destroyed. You Republicans have been caught flat-footed. You can’t openly defend cis white men; that would be transphobic racist sexist. And you can’t openly attack trans black women - that would be super transphobic racist sexist. Plus it wouldn’t work; there aren’t that many of them, and they’re not powerful enough to be scary.
Inline links: https://substackcdn.com/image/fetch/$s_!vL5r!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F9c9b974a-215e-4383-bdea-d5e78365094f_500x220.png
Highlights From The Comments On March Links
March 04, 2021 · Original source
There’s a problem in medicine where people think doctors are trustworthy experts. While this is often true, there are about a million doctors, and some tiny fraction of them are insane. The reasonable doctors mostly keep their mouths shut, but sometimes an insane doctor will endorse some sort of terrible alternative medicine, and then people will get excited: “A doctor endorsed it! It must be real!” The fact is, you can find doctors saying pretty much any bizarre thing - I hear some of them even have Substacks.
[link back to the original links post: here]
Inline links: here
And our other defense expert, John Schilling, writes:
Inline links: John Schilling
Mantic Monday: Mantic Matt Y
March 15, 2021 · Original source
...until recently! As far as I know, the first official journalists to do something like this were Dylan Matthews, Kelsey Piper and Sigal Samuel at Vox. They're trying again this year, but now they're joined by a pretty big name in traditional punditry - Matt Yglesias, formerly of Vox, now here at Substack. In theory you can read the relevant post here, but it’s paywalled. We'll start with the predictions themselves, then talk about what this means for journalism. Here are the questions to be predicted:
Inline links: Dylan Matthews, Kelsey Piper and Sigal Samuel at Vox, trying again this year, here
1. Jon Ossoff and Raphael Warnock win the Georgia Senate races 2. The same party wins both Senate races in Georgia 3. Joe Biden ends the year with his approval rating higher than his disapproval rating 4. Joe Biden ends the year with his approval rating above 50% 5. US GDP growth in 2021 is the fastest of any year of the 21st century 6. The year-end unemployment rate is below 5 percent 7. The year-end unemployment rate is above 4 percent 8. Lakers win the NBA championship 9. Joe Biden ends the year as president 10. Nancy Pelosi sets a definitive retirement schedule 11. A vacancy arises on the Supreme Court 12. The EU ends the year with more confirmed Covid-19 deaths than the US 13. Substack will still be around 14. People will still be writing takes asking if Substack is really sustainable 15. Apple releases new iMacs powered by Apple silicon 16. Apple does not release a new Mac Pro powered by Apple silicon 17. Monthly year-on-year core CPI growth does not go above 2 percent 18. Monthly year-on-year core CPI growth does not go above 3 percent 19. Lloyd Austin not confirmed as Defense Secretary 20. No federal tax increases are enacted 21. Biden administration unilaterally relieves some but not all student debt 22. United States rejoins JCPOA and Iran resumes compliance 23. Israel and Saudi Arabia establish official diplomatic relations 24. US and China reach agreement to lift Trump-era tariffs 25. Slow Boring will exceed 10,000 paid members
1. Jon Ossoff and Raphael Warnock win the Georgia Senate races (60%) 2. The same party wins both Senate races in Georgia (95%) 3. Joe Biden ends the year with his approval rating higher than his disapproval rating (70%) [83%] 4. Joe Biden ends the year with his approval rating above 50% (60%) [60%] 5. US GDP growth in 2021 is the fastest of any year of the 21st century (80%) [84%] 6. The year-end unemployment rate is below 5 percent (80%) 7. The year-end unemployment rate is above 4 percent (80%) 8. Lakers win the NBA championship (25%) [25%] 9. Joe Biden ends the year as president (95%) [96%] 10. Nancy Pelosi sets a definitive retirement schedule (60%) 11. A vacancy arises on the Supreme Court (70%) [50%] 12. The EU ends the year with more confirmed Covid-19 deaths than the US (60%) [80%] 13. Substack will still be around (95%) 14. People will still be writing takes asking if Substack is really sustainable (80%) 15. Apple releases new iMacs powered by Apple silicon (90%) [84%] 16. Apple does not release a new Mac Pro powered by Apple silicon (70%) [53%] 17. Monthly year-on-year core CPI growth does not go above 2 percent (70%) 18. Monthly year-on-year core CPI growth does not go above 3 percent (90%) 19. Lloyd Austin not confirmed as Defense Secretary (60%) 20. No federal tax increases are enacted (95%) 21. Biden administration unilaterally relieves some but not all student debt (80%) 22. United States rejoins JCPOA and Iran resumes compliance (80%) 23. Israel and Saudi Arabia establish official diplomatic relations (70%) [38%] 24. US and China reach agreement to lift Trump-era tariffs (70%) 25. Slow Boring will exceed 10,000 paid members (70%) [75%]
Highlights From The Comments On Culture Wars
May 18, 2021 · Original source
Some of the best comments were on the history of 4Chan. Mr. Doolittle writes:
Inline links: writes
And Fabian writes:
Inline links: writes
Several people chided me for ignoring the role of transgender issues in the culture wars. For example, Stephen F:
Inline links: Stephen F
Peer Review Request: Depression
May 25, 2021 · Original source
Ignore the minor formatting issues inevitable in trying to copy-paste things into Substack, including the headings being too small and the spacing between words and before paragraphs being weird. In the real page, the table of contents will link to the subsections; I don’t know how to do that here so it might be harder to read.
Here’s the diet the study used (source is here, but you won’t be able to read it without a Carlat Report subscription): We still don’t know much about nutrition, and probably there are a lot of superfluous things in this diet, or a lot of potentially helpful things missing. We just don’t know what they are, and this diet is a decent guideline until we know more. The studies suggest it will start working at least within three months; it might work faster than that, but the researchers didn’t check.
Inline links: here, https://substackcdn.com/image/fetch/$s_!lDhI!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Ff0e165e0-643c-496e-8b85-2ab5797d0411_506x651.png
We still don’t know much about nutrition, and probably there are a lot of superfluous things in this diet, or a lot of potentially helpful things missing. We just don’t know what they are, and this diet is a decent guideline until we know more. The studies suggest it will start working at least within three months; it might work faster than that, but the researchers didn’t check.
Use Prediction Markets To Fund Investigative Reporting
July 12, 2021 · Original source
This traditional solution is failing, because the Internet unbundles media. If you want commentary, you can get it here on Substack; if you want to know who won the big game, you can go to espn.com or just Google it.
And second, yeah, I even think there should be life-satisfaction-of-female-students-at-this-particular-school prediction markets. If current-day schools care enough about gender equality to hire a chief diversity officer (which they definitely do), future schools should care enough about gender equality to subsidize prediction markets in the self-reported life satisfaction of female students. It'll be cheaper than the CDO and more effective. I want a world where protesters march into colleges and ask them why, if they claim to care about female students, they don't have a subsidized female-student-life-satisfaction prediction market, so that they can credibly set targets for gender equality (see this post for more on how that would work).
Inline links: this post
Peer Review Request: Ketamine
July 19, 2021 · Original source
Ignore the minor formatting issues inevitable in trying to copy-paste things into Substack, including the headings being too small and the spacing between words and before paragraphs being weird. In the real page, the table of contents will link to the subsections; I don’t know how to do that here so it might be harder to read.
In general, I’m not very concerned about this with most patients, for a few reasons. First are the reports from expert prescribers, who say basically none of their patients ever get addicted. Second is the general experience of using addictive drugs in psychiatry – for example, amphetamine (Adderall), which despite its fearsome reputation as a street drug is rarely abused by patients who get it by prescription. Addiction is a biopsychosocial process and people without genetic and psychological predispositions to addiction are usually able to use these chemicals safely. In a survey of drug experts, ketamine was ranked as less addictive than tobacco, alcohol, or Adderall, and around the same level as marijuana. If you would feel comfortable going out to a bar a few times without worrying about addiction, or smoking pot a few times without worrying about addiction, probably you also shouldn’t worry about getting a few ketamine infusions.
Inline links: https://substackcdn.com/image/fetch/$s_!mpby!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F0ab849db-ebef-4f1e-87ef-996c1950b9d7_385x386.png
In a survey of drug experts, ketamine was ranked as less addictive than tobacco, alcohol, or Adderall, and around the same level as marijuana. If you would feel comfortable going out to a bar a few times without worrying about addiction, or smoking pot a few times without worrying about addiction, probably you also shouldn’t worry about getting a few ketamine infusions.
Epistemic Minor Leagues
October 25, 2021 · Original source
Yet somehow Hon is doing this well. He hasn't seceded from reality. And he's not (I hope it isn't insulting to say) a Babe Ruth-level intellectual superstar - the Babe Ruth equivalent would be Albert Einstein or someone. He's just a normal person satisfying his discovery drive and doing minor-league intellectual activity successfully. And maybe he's a bad example: I only know of him because he had this insight, so looking at him and saying "normal people can make discoveries too" is kind of selection-biased. But I see other random people do this all the time. People I follow on social media. Personal friends. It doesn't seem so uncommon. The hope that it's possible to add something of value to the conversation without being a domain expert and double PhD fuels this blog and its associated community. But it also fuels every other Substack, and the editorial page of major newspapers.
21
November 01, 2021 · Original source
The big news in the US is the upcoming Virginia election: (source) Wait, what? That wasn’t how things looked the last time I…
Inline links: https://substackcdn.com/image/fetch/$s_!1I9w!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F13d66c24-df9d-4416-9311-bf74aefda0b5_1061x255.png, source
(source) Wait, what? That wasn’t how things looked the last time I…
Inline links: source
Wait, what? That wasn’t how things looked the last time I… (source) Looks like a big shift in the Virginia gubernatorial election market, mirroring a shift in the polls:
Inline links: https://substackcdn.com/image/fetch/$s_!v3Nm!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fbb31bdef-245d-4dee-a6fb-32dc4ee1fe50_683x518.png, source
Apply For An ACX Grant
November 12, 2021 · Original source
Unsolicited gifts from rich patrons, your generosity in subscribing to my Substack, and the second item here.
Inline links: here
15
November 15, 2021 · Original source
1: Erik Hoel’s predictions for 2050. Recommended more than I would usually recommend this genre. I’ve been looking for really good new Substacks, by people I hadn’t already been reading for years on another platform, and this is one of the few I’ve found that I’m really excited about.
Inline links: predictions for 2050
The paper continues to an empirical study. The authors ran a forecasting tournament on various easily-checkable things like COVID vaccinations, commodity prices, and the weather. Forecasters were separated into three conditions: reciprocal scoring, traditional scoring (ie Brier score + incentives), and no scoring. The no scoring team did worse than the normal scoring team, which is the basic insight Tetlock et al have found again and again: scored and incentivized forecasts are better than random people pontificating on things. But more relevantly for this paper, the reciprocal scoring and traditional scoring did basically the same! More negative numbers means greater accuracy. Then they tried something more ambitious. They asked teams to “predict” the number of lives saved by various COVID interventions. These interventions had already happened or not, there was no way to ever empirically resolve the predictions. This was supposed to serve as an example of the exciting new things you can do with reciprocal scoring.
Inline links: https://substackcdn.com/image/fetch/$s_!OKmm!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F6c5edc4a-fcce-487e-aa14-53fdd842b506_814x334.png
More negative numbers means greater accuracy. Then they tried something more ambitious. They asked teams to “predict” the number of lives saved by various COVID interventions. These interventions had already happened or not, there was no way to ever empirically resolve the predictions. This was supposed to serve as an example of the exciting new things you can do with reciprocal scoring.
Open Thread 200
November 28, 2021 · Original source
3: Comment of the week is Gwern on whether we should consider China “successful”:"
Inline links: Gwern on
Noahpinion had a pretty similar point a few months ago, but it’s always good to get more reminders.
Inline links: a pretty similar point
4: Dr. Bitterman, one of the researchers who came up with the ivermectin-effects-are-from-worms hypothesis, is defending his idea from some of the concerns you guys brought up in the comments. For example, in response to a comment that hyperinfection syndrome is rare, he writes:
Inline links: you guys brought up in the comments, writes
Open Thread 203
December 19, 2021 · Original source
3. Comment of the week is Coagulopath on what happens when organisms get dropped in alien environments. A brief excerpt: "Agricultural crops often do best far away from their native land, where pests and pathogens are adapted to them. New-world maize and cocoa are among the biggest crops in Africa. Conversely, most coffee is grown in South America. Sometimes being far from home is a good thing."
Inline links: what happens when organisms get dropped in alien environments
4: You should now be able to edit your comments. Thank you, Substack!
ACX Grants Results
December 28, 2021 · Original source
Nuño Sempere, $10,000, to fund his continued work on https://metaforecast.org/ and the @metaforecast bot. The website aims to be an easy way to search for predictions on a given topic; the bot aims to predict, resolve, and tally predictions and bets made by other people. People actually in the forecasting space (unlike me, who is just a poseur) who I talked to described really appreciating Nuño's work, and thought this was a valuable extension to the Internet's general forecasting infrastructure. Nuño is also a researcher at the Quantified Uncertainty Research Institute and the author of a monthly forecasting/prediction markets newsletter.
Inline links: https://metaforecast.org/, @metaforecast, Quantified Uncertainty Research Institute, forecasting/prediction markets newsletter
Nathan Young, $5,000, to fund his continued work writing Metaculus questions and trying to build bridges between the forecasting and effective altruist communities. Nathan is a Metaculus moderator, the author of a prediction market blog I've used as a source before, and has useful connections with people who might be convinced to use formal forecasting methods for their organizations. This grant is a vote of confidence in him to continue this work, and another part of my effort to fund more forecasting infrastructure. You can read his newsletter, the UK Policy Forecast, here. If you have suggestions for forecasting questions he asks that you DM him on twitter or add them to this open Google doc.
Inline links: here, DM him on twitter, this open Google doc
Will Jarvis and Lars Doucet, $55,000, to create an automated land value assessment model for two Pennsylvania counties. You all know Lars as the guy who keeps writing guest posts here about Georgism. Now he wants to take it to the next level and start building tools for the Georgist future. This program would act as proof of concept that counties can assess land value relatively easily and accurately. I was on the fence about funding it because they can create a beautiful program with 100% success and then counties can just continue to not be Georgist for the same reasons as usual. I'm going ahead with it because I trust Lars who believes this is the best way forward, and because it seems like the sort of thing that could eventually grow into a Georgist think tank at some point in the future. They’re interested in talking to anyone who has experience in mass appraisal, Georgist or not, as well as applied data scientists and machine learning researchers. Fill out this form here if that’s you. You can follow their progress at https://gameofrent.com/
Inline links: guest posts here about Georgism, this form here, https://gameofrent.com/
Grading My 2021 Predictions
January 24, 2022 · Original source
BLOG 86. ACX is earning more money than it is right now: 70% 87. [redacted]: 10% 88. [redacted]: 50% 89. [redacted]: 20% 90. There is another article primarily about SSC/ACX/me in a major news source: 10% 91. I subscribe to at least 5 new Substacks (so total of 8): 20% 92. I've read and reviewed How Asia Works: 90% 93. I've read and reviewed Nixonland: 70% 94. I've read and reviewed Scout Mindset: 60% 95. I've read and reviewed at least two more dictator books: 50% 96. I've started and am at least 25% of the way through the formal editing process for Unsong: 30% 97. Unsong is published: 10% 98. I've written at least five chapters of some non-Unsong book I hope to publish: 40% 99. “On The Natural Faculties” wins the book review contest: 60% 100. I run an ACX reader survey: 50% 101. I run a normal ACX survey (must start, but not necessarily finish, before end of year): 90% 102. By end of year, some other post beats NYT commentary for my most popular post: 10% 103. I finish + post Rise And Fall Of Online Culture Wars: 90% 104. I finish + post Don’t Give Up On Having Kids Because Of Climate Change: 80% 105. I finish + post Carbon Costs Quantified: 80% 106. I have a queue of fewer than ten extra posts: 70%
Inline links: Rise And Fall Of Online Culture Wars, Don’t Give Up On Having Kids Because Of Climate Change, Carbon Costs Quantified
At the beginning of every year, I make predictions. At the end of every year, I score them. Here are 2014, 2015, 2016, 2017, 2018, 2019, and 2020.
Inline links: 2014, 2015, 2016, 2017, 2018, 2019, 2020
Here’s the usual graph: Last year I was mostly overconfident. This year I was very slightly underconfident (except in the 60% bin). I see no consistent pattern of errors here and am not going to update on it very much. I’m pretty happy with this, since I thought the questions this year were harder than usual.
Inline links: https://substackcdn.com/image/fetch/$s_!eMf3!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Feb43a852-f768-4a41-9245-eb1dd880d060_462x347.png
Against That Poverty And Infant EEGs Study
January 26, 2022 · Original source
I was going to try to fact-check this, but a bunch of other people (see eg Philippe Lemoine, Stuart Ritchie) have beaten me to it. Still, right now all the fact-checking is scattered across a bunch of Twitter accounts, so I'll content myself with being the first person to summarize it all in a Substack post, and beg you to believe I would have come up with the same objections eventually.
Inline links: Philippe Lemoine, Stuart Ritchie
All differences lost statistical significance after adjustment for multiple comparisons. What does that mean? Well, remember that XKCD comic with the jellybeans: That’s multiple comparisons. If you test 20 different things and get one positive result, that doesn’t mean there’s a real effect, it means you kept doing tests until one of them randomly came out positive because of noise.
Inline links: that XKCD comic with the jellybeans, https://substackcdn.com/image/fetch/$s_!Yujr!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F99478203-0b82-4b70-ae6e-4b535ee7ce1c_540x1498.png
That’s multiple comparisons. If you test 20 different things and get one positive result, that doesn’t mean there’s a real effect, it means you kept doing tests until one of them randomly came out positive because of noise.
Highlights From The Comments On Health Care Systems
January 27, 2022 · Original source
GummyBearDoc writes:
Inline links: writes
DoTheMath now says he is “tentatively convinced” of GummyBearDoc’s claim (good for both of you! Julia Galef gives you shiny gold stars!)
Inline links: Julia Galef
But Merlot says:
Inline links: Merlot says
Why Do I Suck?
February 02, 2022 · Original source
My commenters were very nice about it. They didn’t use those exact words. It was more like “I loved your articles from about 2013 - 2016 so much! Why don’t you write articles like that any more?” Or “Do you feel like you’ve shifted to less ambitious forms of writing with the new Substack? It feels like there was something in your old articles that isn’t there now.” There was a lot of similar discussion on this one year retrospective subreddit thread.
Inline links: this one year retrospective subreddit thread
The evidence that I’ve gotten worse at blogging is mixed. I asked about it on a reader survey six months ago, and got this: Most people think my quality is about the same, although the minority who do see a difference mostly lean towards “worse”.
Inline links: https://substackcdn.com/image/fetch/$s_!ssuU!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F1c865917-75b3-4bef-a100-dacb8b80cdae_746x293.png
Most people think my quality is about the same, although the minority who do see a difference mostly lean towards “worse”.
ACX Grants ++: The Second Half
February 10, 2022 · Original source
This is the closing part of ACX Grants. Projects that I couldn’t fully fund myself were invited to submit a brief description so I could at least give them free advertising here. You can look them over and decide if any seem worth donating your money, time, or some other resource to.
Inline links: ACX Grants
You can find the first 66 of these here.
Inline links: here
#73: Create A New Kind Of Money And Cities The combination of markets and ideas has reduced suffering somewhat. This trend must continue, but I think a global median income of US$30,000 by 2049 is possible. We just need to teach everybody the same skills that Americans have. To enable this, 2 areas where improvement can be made and no new technology is needed are: a new money, and cities welcome to everyone. A new money is needed because the current financial system is not burdened with the risks it creates. Cities don’t grow like they did in the past. Over a 50 year period at the turn of the twentieth century Detroit grew 10X, whereas in this era the Bay Area has not even doubled its population. Nowadays cities that attract the best talent only attract the best talent. If we had a Hypothetical-Bay-Area-City grow like American cities of the past, it would have a population of around 45 million people and GDP of $4.5 billion. What would an asset be worth if it had a $4.5 billion income stream? A little bit of money and land is needed to make a start, but mostly I need you and your talents. Here is my new Substack with details: https://marketismandidearism.substack.com/p/a-new-money-and-cities-welcome-to . Please sign up to make a global median income of US$30,000 by 2049 a reality. P.S. I am talking money here. Accounting entries. Do not talk to me about Bitcoin. Bitcoin is an attempt at cash. 99.99999% of money transactions are not done with cash, they are done with IOU’s. Please. Spare. Me.
Ukraine Warcasting
March 01, 2022 · Original source
The first part of this post looks at various markets’ predictions of how the war will go from here (Zvi published something like this a few hours before I could, so this will mostly duplicate his work). The second part very briefly tries to evaluate which markets have been most accurate so far - though this is a topic which deserves at least paper-length treatment. The third part looks at which pundits deserve eternal glory for publicly making strong true predictions, and which pundits deserve . . . something else, for doing . . . other things.
Inline links: published something like this
This is the most-predicted relevant question on Metaculus right now. The first day of the war, the market predicted as high as 90%; as people realized the strength of Ukrainian resistance, it fell to 80. Mid-Saturday there was a sudden drop from 78% to 72%, after some combination of a defiant Zelenskyy speech and a report that Russian paratroopers had been repelled. Since then it’s barely budged.
The six cities are Kyiv, Odesa, Lviv, Mariupol, Kharkiv, and Kherson. This question gives the Russians two more months than the last one, so it’s surprising that they’re at about the same probability. Maybe everyone expects Russia to go for Kyiv first and take longer for anything else? Or maybe they’re assuming everything stands or falls together.
Spring Meetups In Seventy Cities
April 10, 2022 · Original source
LAS VEGAS, NV Contact: Jonathan Ray (ray.jonathan.w@gmail.com) Date: April 24 Time: 1:00 PM Coordinates: https://plus.codes/85864PFF+3P Location: Desert Breeze Park at one of the southern pavilions with an ACX sign Group info: Subscribe to the LessWrong group or Substack to get notified about future Vegas ACX meetups
Inline links: https://plus.codes/85864PFF+3P, LessWrong group, Substack
Somewhat Contra Marcus On AI Scaling
June 10, 2022 · Original source
Previously: I predicted that DALL-E’s many flaws would be fixed quickly in future updates. As evidence, I cited Gary Marcus’ lists of GPT’s flaws, most of which got fixed quickly in future updates.
Inline links: I predicted
Marcus responded with a post on his own Substack, arguing . . . well, arguing enough things that I’m nervous quoting one part as the thesis, and you should read the whole post, but if I had to do it, it would be:
Inline links: a post on his own Substack
And from this progression, Marcus concludes . . . that this demonstrates nothing like this will ever be able to imitate the brain. What? Can we get a second opinion here? Out of the mouths of babes. I don’t want to definitively assert that a brain-sized GPT will definitely be just as good at reasoning as the brain. But I hardly think GPT’s performance provides strong evidence to the contrary.
Inline links: https://substackcdn.com/image/fetch/$s_!s58F!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F901d5763-afa2-41b2-9640-3c4e8d9de788_995x209.png
Your Book Review: Viral
July 30, 2022 · Original source
I enjoyed the book and recommend it to anyone interested in the topic. However, many of the authors’ points (especially on technical issues) have counterpoints from other scientists who lean more heavily towards the natural origins hypothesis. So I think it’s best to include the book as part of a “package-deal” recommendation, rather than presenting it as a perfectly objective source. The last section of this review will include some more recommended sources to check out, including writing from advocates of the natural origins hypothesis with counterpoints to claims made in the book. I’ll also link one here in case you don’t make it that far.
Inline links: I’ll also link one here in case you don’t make it that far.
Smallpox escaped from research labs in the UK three times from 1966-1978. In fact, the last ever case of smallpox occurred after it had already been eradicated, when it escaped from a medical laboratory in 1978 and infected a medical photographer, who eventually died from the illness. These are only a few of many examples. According to the US Federal Select Agent Program, which oversees the possession and handling of dangerous biological agents and toxins, there were 219 accidental releases of these “select agents” in 2019. So, while accidental lab leaks are uncommon, they’re not unheard of. When it comes to the COVID-19 pandemic, it still makes sense to have a strong prior in favor of the natural origins hypothesis, but the idea that a pathogen can be accidentally released from a lab isn’t some wild, ridiculous idea like believing in alien abductions or Bigfoot or something. 3. The outbreak location in Wuhan appears to be relevant There’s a famous psychology experiment [1] in which participants were told to wait in a room, and their reactions were recorded as the room gradually filled with smoke. In some cases, participants waited alone, while in other cases they waited with a group of people who, unbeknownst to the participant, were actors who had been instructed to ignore the smoke. Of the participants who waited alone, 75% reported the smoke. However, of the participants who waited with the group, only 10% reported the smoke. Photograph of the famous Latané and Darley experiment, cerca 1968. So, what could those participants have been thinking? Maybe something like: Hmm, why’s the room filling up with smoke? Is this a problem? *looks around the room* Well nobody else seems to care, so I guess not. Looking back at the early stages of the COVID-19 pandemic, I think maybe this is why so many of us didn’t think twice about the location of the initial outbreak. Hmm, is it kinda suspicious that this virus broke out near a major virology institute that works on bat coronaviruses? Should we maybe look into that? *looks around* Well nobody else seems to think so, so I guess not. I can’t speak for everyone else, but this was at least my mindset. I had vaguely heard something about how there was a virology research institute close to where the pandemic broke out, and that some conspiracy theorists were claiming it was the source of the virus. I looked around and noticed that nobody was really taking this idea seriously, so I figured I didn’t need to take it seriously either. Also, I was thinking something like: Eh, probably every major city has labs and research institutes doing this kind of research. And I’ll bet they purposely built the virology institute close to where these viruses occur in nature, to give them easy access for sampling. Well, it turns out both of these things are wrong. The type of research conducted at the Wuhan Institute of Virology (WIV) is pretty rare and specialized. It includes things like creation of chimeric coronaviruses [1, 2], infecting humanized mice with bat coronaviruses, and other types of gain of function research, which Chan and Ridley devote a chapter to. The WIV is one of only a few institutions in the world doing this type of research. It’s not the case, as I had assumed, that every major university has a couple labs doing similar work. So it does seem like a pretty remarkable coincidence that the outbreak happened in Wuhan. But maybe they purposely built the Wuhan Institute of Virology close to where these viruses are found in nature? Well, this also turns out to be wrong. The areas where viruses most similar to SARS-CoV-2 are found in nature are Yunnan province and Laos, which are more than a thousand kilometers away from Wuhan. The authors put this distance in perspective by noting that it’s more than the distance between Orlando and NYC. Image source: https://www.bloomberg.com/news/features/2020-12-30/china-is-making-it-harder-to-solve-the-mystery-of-how-covid-began If SARS-CoV-2 originated in an animal somewhere around the Yunnan / Laos area, how did it make it all the way to Wuhan without leaving a trail along the way? 4. The story of RaTG13 Although I enjoyed the book, I do have one pretty major criticism. The authors repeatedly make the claim that a virus called RaTG13, which was being studied at the WIV before the pandemic, is the closest known genetic match to SARS-CoV-2. But this claim is outdated and no longer correct. In September 2021 researchers identified a virus called BANAL-52 in Laos that’s a 96.8% match to SARS-CoV-2, closer than RaTG13’s 96.2% match. (Important note: a 96.8% match is still a long way off in genomic space, and does not imply that this is the same virus as SARS-CoV-2, or even necessarily a progenitor.) At first I thought maybe the authors didn’t mention BANAL-52 because it was discovered after the book was published, but this isn’t the case – Viral was published November 16, 2021, nearly two months after the discovery of BANAL-52 was published. Although I’m writing an overall-positive review here, I don’t want to go easy on the book where serious criticism is warranted. It’s completely unacceptable that BANAL-52 wasn’t mentioned. Even if it would have been inconvenient from a publishing standpoint, the authors should have rewritten the RaTG13 chapter, or at least included an addendum about the discovery of BANAL-52. With that being said, I think the story of RaTG13 is still interesting and important, so I’ll give a quick summary here. At the start of the pandemic in 2020, SARS-CoV-2 was quickly sequenced, and the full genome sequence was published by Dr. Shi Zhengli’s team at the WIV. In this paper, they also briefly mentioned that the genome was a 96.2% match with another bat coronavirus called RaTG13 – the closest known match at the time. Oddly, the mention of RaTG13 did not include any reference, footnote, or link to any previously published sequence. Although the WIV didn’t provide details on this mysterious RaTG13 virus, a group of internet volunteers, including both amateurs as well as professional scientists working in their free time, began to investigate. This loose collection of open-source researchers, called DRASTIC, uncovered a medical thesis describing an outbreak of a mysterious disease in 2012. Six men who had been working in a bat-infested mine in Mojiang County, China, fell ill and were admitted to a hospital with symptoms including dry coughs, shortness of breath, fevers, muscle aches, headaches, and fatigue. Three of the men eventually died of this mysterious illness. In the years following this incident, teams of researchers (including a team led by Dr. Shi Zhengli of the WIV) were sent to investigate the cause of this illness and collect samples from the Mojiang mine. This sampling led to the discovery of a novel SARS-like coronavirus in 2013, and a part of its genomic sequence was published under the name BtCoV/4991 in 2016. The DRASTIC researchers discovered that RaTG13 was genetically identical to the BtCoV/4991 sequence from the Mojiang mine – it was the same virus, and had just been renamed for some reason, without any public record of the change. They also discovered that at least eight other closely related coronaviruses were also sampled from this mine and brought to the WIV. Although unhelpful throughout the investigation, the WIV eventually verified these facts when pressed on them, and an addendum was added to the original paper confirming DRASTIC’s account of the origin of RaTG13. So what should we make of this? Well, as I mentioned before, RaTG13 is no longer the closest known genetic match to SARS-CoV-2, so maybe the whole story is less important as it pertains to the origin of the pandemic. But the discovery of BANAL-52 doesn’t really resolve things either [2]. Laos is very far away from Wuhan (actually even further than Yunnan), so we’re left with the same question as before – how did SARS-CoV-2 make it all the way to Wuhan from such a distant natural reservoir without leaving a trail along the way? 5. Lack of institutional transparency and competence A lot of the book is devoted to criticizing the Chinese government’s lack of transparency during the pandemic. Some brief examples: In the early days of the initial outbreak in Wuhan, hundreds of people were investigated and punished for the crime of “spreading rumors”. This included whistleblowing doctors who attempted to warn others [3] about the spread of the disease and its human-to-human transmission, which was being denied by the Chinese government at the time.
Inline links: eventually died from the illness., psychology experiment, https://substackcdn.com/image/fetch/$s_!mhjk!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fc8199936-a484-4951-b90e-8ea42a0a4ebc_1600x758.jpeg, 1, 2, infecting humanized mice with bat coronaviruses, https://substackcdn.com/image/fetch/$s_!6khv!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fac0a8f26-8f26-4712-b245-797d478ae385_1246x642.png, https://www.bloomberg.com/news/features/2020-12-30/china-is-making-it-harder-to-solve-the-mystery-of-how-covid-began, virus called BANAL-52, published by Dr. Shi Zhengli’s team at the WIV., addendum
Photograph of the famous Latané and Darley experiment, cerca 1968. So, what could those participants have been thinking? Maybe something like: Hmm, why’s the room filling up with smoke? Is this a problem? *looks around the room* Well nobody else seems to care, so I guess not. Looking back at the early stages of the COVID-19 pandemic, I think maybe this is why so many of us didn’t think twice about the location of the initial outbreak. Hmm, is it kinda suspicious that this virus broke out near a major virology institute that works on bat coronaviruses? Should we maybe look into that? *looks around* Well nobody else seems to think so, so I guess not. I can’t speak for everyone else, but this was at least my mindset. I had vaguely heard something about how there was a virology research institute close to where the pandemic broke out, and that some conspiracy theorists were claiming it was the source of the virus. I looked around and noticed that nobody was really taking this idea seriously, so I figured I didn’t need to take it seriously either. Also, I was thinking something like: Eh, probably every major city has labs and research institutes doing this kind of research. And I’ll bet they purposely built the virology institute close to where these viruses occur in nature, to give them easy access for sampling. Well, it turns out both of these things are wrong. The type of research conducted at the Wuhan Institute of Virology (WIV) is pretty rare and specialized. It includes things like creation of chimeric coronaviruses [1, 2], infecting humanized mice with bat coronaviruses, and other types of gain of function research, which Chan and Ridley devote a chapter to. The WIV is one of only a few institutions in the world doing this type of research. It’s not the case, as I had assumed, that every major university has a couple labs doing similar work. So it does seem like a pretty remarkable coincidence that the outbreak happened in Wuhan. But maybe they purposely built the Wuhan Institute of Virology close to where these viruses are found in nature? Well, this also turns out to be wrong. The areas where viruses most similar to SARS-CoV-2 are found in nature are Yunnan province and Laos, which are more than a thousand kilometers away from Wuhan. The authors put this distance in perspective by noting that it’s more than the distance between Orlando and NYC. Image source: https://www.bloomberg.com/news/features/2020-12-30/china-is-making-it-harder-to-solve-the-mystery-of-how-covid-began If SARS-CoV-2 originated in an animal somewhere around the Yunnan / Laos area, how did it make it all the way to Wuhan without leaving a trail along the way? 4. The story of RaTG13 Although I enjoyed the book, I do have one pretty major criticism. The authors repeatedly make the claim that a virus called RaTG13, which was being studied at the WIV before the pandemic, is the closest known genetic match to SARS-CoV-2. But this claim is outdated and no longer correct. In September 2021 researchers identified a virus called BANAL-52 in Laos that’s a 96.8% match to SARS-CoV-2, closer than RaTG13’s 96.2% match. (Important note: a 96.8% match is still a long way off in genomic space, and does not imply that this is the same virus as SARS-CoV-2, or even necessarily a progenitor.) At first I thought maybe the authors didn’t mention BANAL-52 because it was discovered after the book was published, but this isn’t the case – Viral was published November 16, 2021, nearly two months after the discovery of BANAL-52 was published. Although I’m writing an overall-positive review here, I don’t want to go easy on the book where serious criticism is warranted. It’s completely unacceptable that BANAL-52 wasn’t mentioned. Even if it would have been inconvenient from a publishing standpoint, the authors should have rewritten the RaTG13 chapter, or at least included an addendum about the discovery of BANAL-52. With that being said, I think the story of RaTG13 is still interesting and important, so I’ll give a quick summary here. At the start of the pandemic in 2020, SARS-CoV-2 was quickly sequenced, and the full genome sequence was published by Dr. Shi Zhengli’s team at the WIV. In this paper, they also briefly mentioned that the genome was a 96.2% match with another bat coronavirus called RaTG13 – the closest known match at the time. Oddly, the mention of RaTG13 did not include any reference, footnote, or link to any previously published sequence. Although the WIV didn’t provide details on this mysterious RaTG13 virus, a group of internet volunteers, including both amateurs as well as professional scientists working in their free time, began to investigate. This loose collection of open-source researchers, called DRASTIC, uncovered a medical thesis describing an outbreak of a mysterious disease in 2012. Six men who had been working in a bat-infested mine in Mojiang County, China, fell ill and were admitted to a hospital with symptoms including dry coughs, shortness of breath, fevers, muscle aches, headaches, and fatigue. Three of the men eventually died of this mysterious illness. In the years following this incident, teams of researchers (including a team led by Dr. Shi Zhengli of the WIV) were sent to investigate the cause of this illness and collect samples from the Mojiang mine. This sampling led to the discovery of a novel SARS-like coronavirus in 2013, and a part of its genomic sequence was published under the name BtCoV/4991 in 2016. The DRASTIC researchers discovered that RaTG13 was genetically identical to the BtCoV/4991 sequence from the Mojiang mine – it was the same virus, and had just been renamed for some reason, without any public record of the change. They also discovered that at least eight other closely related coronaviruses were also sampled from this mine and brought to the WIV. Although unhelpful throughout the investigation, the WIV eventually verified these facts when pressed on them, and an addendum was added to the original paper confirming DRASTIC’s account of the origin of RaTG13. So what should we make of this? Well, as I mentioned before, RaTG13 is no longer the closest known genetic match to SARS-CoV-2, so maybe the whole story is less important as it pertains to the origin of the pandemic. But the discovery of BANAL-52 doesn’t really resolve things either [2]. Laos is very far away from Wuhan (actually even further than Yunnan), so we’re left with the same question as before – how did SARS-CoV-2 make it all the way to Wuhan from such a distant natural reservoir without leaving a trail along the way? 5. Lack of institutional transparency and competence A lot of the book is devoted to criticizing the Chinese government’s lack of transparency during the pandemic. Some brief examples: In the early days of the initial outbreak in Wuhan, hundreds of people were investigated and punished for the crime of “spreading rumors”. This included whistleblowing doctors who attempted to warn others [3] about the spread of the disease and its human-to-human transmission, which was being denied by the Chinese government at the time.
Inline links: 1, 2, infecting humanized mice with bat coronaviruses, https://substackcdn.com/image/fetch/$s_!6khv!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fac0a8f26-8f26-4712-b245-797d478ae385_1246x642.png, https://www.bloomberg.com/news/features/2020-12-30/china-is-making-it-harder-to-solve-the-mystery-of-how-covid-began, virus called BANAL-52, published by Dr. Shi Zhengli’s team at the WIV., addendum
22
August 01, 2022 · Original source
Is this just some crazy attempt to build hype, like when Elon Musk says the next Tesla definitely will have full-self-driving ability? I don’t think so. Saudi Crown Prince Mohammed bin Salman is obsessed with Neom and very vain; I don’t think he would deliberately promise impossible things knowing that he will be embarrassed later when they don’t work out (and he says it will be done by 2030, so we’ll know the results relatively soon). Also, the government has earmarked $500 billion to $1 trillion for the project - around the GDP of Sweden - which sounds kind of like being serious. Also, they’ve already started on important Saudi construction preliminaries, like murdering the people who previously lived in the area. Also, they’ve already set up on-site camps for the construction workers (source): This kind of smart, walkable, mixed-used urbanism is illegal to build in most American cities. So what is going on? After describing Neom project leader Nadhmi Al-Nasr…
Inline links: murdering the people who previously lived in the area, source, https://substackcdn.com/image/fetch/$s_!CiDC!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F3c894d2d-2ffe-423b-98b2-b7c840689105_640x426.jpeg
This kind of smart, walkable, mixed-used urbanism is illegal to build in most American cities. So what is going on? After describing Neom project leader Nadhmi Al-Nasr…
This kind of smart, walkable, mixed-used urbanism is illegal to build in most American cities. So what is going on? After describing Neom project leader Nadhmi Al-Nasr… Former employees say one of the chief sources of aggravation is Al-Nasr, whom they describe as having a volcanic temper. Several recall him openly berating subordinates, sometimes issuing threats unlike anything they’d experienced in their careers. In one particularly tense moment, after two e-sports companies canceled partnerships with Neom, citing human-rights concerns, Al-Nasr said he’d pull out a gun and start shooting if he wasn’t told who was to blame, according to two witnesses to the exchange. Al-Nasr disputes these accounts. “Not anyone can stand the pressure of the demands of the day, and there are people who leave because it’s more demanding than anything they have done before,” he says. …the Bloomberg article offers some tantalizing clues: Among the misdeeds most likely to anger Al-Nasr, the former employees say, was failing to spend enough money. Three of them described Al-Nasr keeping a diagram showing which department heads were disbursing less than their budgets allowed, which the ex-staff half-seriously referred to as a “wall of shame.” Maybe if you demand grander and grander plans, and have a reputation for killing anyone who opposes you, then eventually you get a really grand plan and nobody has the guts to tell you that it’s impossible. But the problem isn’t just that Neom is too big. Everything about it is doomed. There are reasons most cities aren’t designed as 200 meter wide, 170 km long lines; this maximizes the distance between any two points! The Saudis say they will solve this with a high-speed train, but all public transit is inherently limited in speed by the need to stop at a bunch of stations along the way. The video says that you’ll be able to go from one end of Neom to the other in 20 minutes, which suggests a 500 km/hour or 300 mile/hour train line. There are some maglevs which are almost that fast, but this only works if everyone is going nonstop from the exact westernmost point in Neom to the exact easternmost point. If you want people to only have to walk a kilometer or so to their destination, you’ll need 85 stops along the way. You can do slightly better than this with a combination of express and local trains, but you’re never going to compensate for the fact that laying your city out in a line is shooting yourself in the foot. I think maybe this is what happens to your brain when you read too many YIMBY blogs. “The only things people want out of cities are super high density and a ban on cars, right?” Dude, you are Saudi Arabia. The only two things in your country are open space and fuel. Log off Twitter, touch grass, etc. Okay, now I’m even more confused. The only advantage of having your city in a giant line is that at least it’s good for mass transit, and you are … emphasizing walkability? Also, aren’t you in Saudi Arabia? Isn’t it 130 degrees at all times? But The Line is only the beginning. They will also have a Giant Floating Octagon Of Clean Industry: Source: Neom website …the world’s largest ski and watersports resort, and yes we are still in Saudi Arabia, they’ll make an artificial lake and use artificial snow: Source: Neom website …and whatever this is supposed to be: Source: Neom website Fine! Let’s just have random stuff! Canal-pools along every street so you can swim to work! A beach made of crushed marble which will shine like silver! Whatever! If this were some billionaire’s passion project, I’d be fine with it. It would be fun to watch exactly how it failed; it would probably leave some cool ruins. Maybe after the hype died down they could try for something smaller, and it would still be pretty impressive. At least it would beat yet another megayacht. But in fact, this is the Crown Prince of Saudi Arabia, squandering public money. Not just renewable tax receipts, but the country’s accumulated oil windfall, just as the world tries to transition to renewable energy and the country risks never getting any oil windfall ever again. This is the money that should be going to the Saudi people having a future, and instead Mohammed bin Salman is spending it on playing some kind of demented desert version of SimCity, using a strategy that ten minutes playing actual SimCity could tell him was a bad idea. Neom represents all the worst parts of model cities. Dictators robbing the public purse to build cool monuments that make them feel special. Total lack of interest in workers, previous inhabitants, future inhabitants, or anyone except the very rich. “Sustainability”, “density”, and “liveability” as buzzwords to throw at foreign media, with no broader story for how any of this will improve the lives of real people or the cause of human freedom. I find model cities interesting and promising only insofar as I think some of them aren’t like Neom. Catawba Digital Economic Zone Haven’t heard much out of the crypto people recently, wonder what they’re up to: They seem to have gotten…an Indian tribe? That wasn’t on my bingo card for 2022. The Catawba Digital Economic Zone is the brainchild of Joseph McKinney (founder of the pro-charter-cities Startup Societies Foundation) and the Catawba Nation of Native Americans (a federally recognized tribe with a reservation in South Carolina). Indian tribes have regulatory independence from state governments, which some tribes have famously used to allow casinos in their territory. The Catawba are going one step further: they claim to have favorable cryptocurrency regulations which make it easier to register and operate your crypto company in Catawba territory than in the rest of the US. You can find their exact laws here, although they are long and in legalese. CoinDesk has an explainer of the crypto benefits, which seem to focus on digital asset regulations which “integrate digital assets under existing law”, including rights around disputes and loans. They also expect upcoming laws on DAOs, stablecoin, and banking. “Native American tribes” and “cryptocurrency” were not previously two concepts I associated closely with each other. But the Catawba were already a standout for their political savvy and economic ambitions, and they seem intimately involved here; the Zone is being run by “the business branch of the Catawba Indian Nation”, the commissioners are mostly Catawba citizens and tribal elders, and there are some nice touches like financial incentives for businesses that employ Catawba citizens. I like crypto as an insurance policy against oppressive governments, but I am not very bullish about it as an industry right now. Still, I am excited about the idea of Indian reservation charter cities - either in cooperation with outsiders like McKinney, or - who knows? - as grassroots designs from the tribes themselves. Reservation charter cities wouldn’t be the biggest deal. Tribes have substantial independence from state and local governments, but not much independence from the national government, and a lot of the dysfunction that needs escaping is at the federal level. Still, there are probably some niche opportunities; see eg Squamish tribe building skyscrapers on their land in Vancouver despite NIMBY opposition for one example of where this sort of idea could go. Seasteading In Paradise Malé is the capital of the Maldives, a tiny island nation in the Indian Ocean. It looks like this: One noticeable feature of Malé is its lack of lebensraum. Maldives is a pretty well-off country with a strong tourist industry, and lots more people would like to be nearby. What to do? You can already guess the proposed solution of Maldives Floating City. They want a 20,000 person seastead docked ten minutes away from the 130,000 person island-capital. The Floating City will serve both tourists and local Maldivians (some of whom are getting nervous about rising sea levels, and would probably appreciate a development guaranteed to stay above water). According to the organization’s press release, the Dutch corporate sponsor has obtained full permission to build the seastead, some test construction has already started, and full construction will begin in January. They hope to finish by 2027. Here are the inevitable pretty pictures: The layout is supposedly based on brain coral, but is this really the best way to lay design a seastead? Does this pattern really maximize the ease of getting from Point A to Point B? If you like tropical paradises and are incredibly optimistic, you can buy a house in the Floating City here, prices seem to be $150-250K. This is not the long-awaited dream of the libertarian seastead; the whole city will be firmly anchored in Maldives, both physically and legally. But if it works, it’s a proof of concept that libertarians may be able to build on later. Elsewhere In Model Cities 1: Prospera now hosts the drone delivery service Aerialoop, which will eventually transport cargo from their Roatan Island hub to various outposts on the mainland; you can find more information here. Their long-term plans include eventually following this up with passenger drones. And here’s some more information on the growing drone industry in Latin America. 2: Related: Prospera intern and resident George Kerpestein is writing a Substack about his experiences there. And here is the Prospera newsletter. 3: Thanks to commenters last month for pointing out that Chinese cult Falun Gong has its own compound/city in upstate New York. You can read more about it here: 4: Sealand is an independent nation (according to Sealand) based out of an old WWII sea fort in international waters. It is not for sale, but the Bull Sandfort is, for only £50,000. Alas, this one is firmly within British territorial waters. But it does look pretty defensible…anyway, see the listing here. Predictions In 2030, there are at least 50,000 people in whatever the Neom project has evolved into by then: 75%
Inline links: https://substackcdn.com/image/fetch/$s_!VKSo!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Ff272bf92-69b9-4e0e-a094-9c15493f2865_737x402.png, https://substackcdn.com/image/fetch/$s_!l_Zk!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fdfe484bc-183d-46cc-917b-616729a9b437_1525x781.png, Neom website, https://substackcdn.com/image/fetch/$s_!7u8U!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Ff228e658-03d0-41bf-8175-56a8dae3b974_1655x949.png, Neom website, https://substackcdn.com/image/fetch/$s_!6iwj!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F75cb7a1b-af56-4f4d-b6ff-96139031f2e5_1457x965.png, https://substackcdn.com/image/fetch/$s_!G1V1!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F4ed7a398-1775-4067-833f-123cbcb402e4_604x416.png, Startup Societies Foundation, Catawba Nation, here, CoinDesk has an explainer of the crypto benefits, already a standout, building skyscrapers on their land in Vancouver despite NIMBY opposition, Malé, https://substackcdn.com/image/fetch/$s_!FGww!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F6b977d54-218e-4a02-8ffe-630a48099ec2_1386x924.jpeg, Maldives Floating City, press release, https://substackcdn.com/image/fetch/$s_!_9hG!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F59b2e0ea-e379-4e67-b7a0-7ad9c4ab034a_2400x1350.jpeg, https://substackcdn.com/image/fetch/$s_!WoEb!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F9be04950-c68a-4869-aca0-d7134a6ccfc0_1200x918.jpeg, here, here, the growing drone industry in Latin America, writing a Substack, the Prospera newsletter, here, https://substackcdn.com/image/fetch/$s_!Kdyl!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F5bd505ec-7998-4f17-b1b5-82cbaa663ea0_700x525.jpeg, Sealand, here, https://substackcdn.com/image/fetch/$s_!X_kO!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F3fc09d9d-ac8b-4e5f-a4c0-061832919c87_753x416.png
Book Review Contest 2022 Winners
September 02, 2022 · Original source
I was happy with my decision to keep this contest anonymous, because the most “famous” person to enter won first place, and if it had been open-identity I would have wondered whether he was drawing on a pre-existing fan base. But no, Erik can rest assured he is actually very good at writing (which he probably already knew, being a novelist and all, but you never know). In fact, 2 of the 5 winners, plus an extra 1.5 of the remaining finalists, were authors of Substacks which I read and have linked to here (Hoel, Roger’s Bacon, Resident Contrarian, and the extra 0.5 is for Etienne who I didn’t know about before this week but just saw his post Common Tech Jobs Described As Cabals Of Mesoamerican Wizards on the subreddit). I’m always suspicious that everything is fake and good writers aren’t actually good and it’s just a social conspiracy to believe that they are, but these results are a vote in support of our existing writer-identification-institutions (are they all Substack? I guess it’s just Substack) - although many unknown people also did very well, including the 2nd place winner (I didn’t get a response to my email asking how I should reveal his identity, so I’m defaulting to initials, but I don’t recognize his real name either).
Inline links: Hoel, Roger’s Bacon, Resident Contrarian, Common Tech Jobs Described As Cabals Of Mesoamerican Wizards
1st: The Dawn Of Everything, reviewed by Erik Hoel. Erik is a neuroscientist and author of the recent novel The Revelations. He writes at his Substack The Intrinsic Perspective.
Inline links: The Dawn Of Everything, The Revelations, The Intrinsic Perspective
2nd: 1587, A Year Of No Significance, reviewed by occasional ACX commenter McClain.
Inline links: 1587, A Year Of No Significance
Highlights From The Comments On Billionaire Replaceability
September 22, 2022 · Original source
[original post: Billionaires, Surplus, and Replaceability]
Inline links: Billionaires, Surplus, and Replaceability
1: Lars Doucet (writes Progress and Poverty) writes:
Inline links: Progress and Poverty, writes
See also this conversation between Lars and Motteposting on how to apply this to exploration, research, and talent.
Inline links: this conversation between Lars and Motteposting
Universe-Hopping Through Substack
September 29, 2022 · Original source
I feel the same way about Substack. Everyone I know reads a sample of the same set of Substacks - mine, Matt Yglesias’, maybe Freddie de Boer’s or Stuart Ritchie’s. But then I use the Discover feature on the site itself and end up in a parallel universe.
Inline links: Matt Yglesias’, Freddie de Boer’s, Stuart Ritchie’s
Political Substacks tend to have names that suggest stability - “The Bulwark”, “North Star”, “Steady” - or reasonableness - “Common Sense”, “Civil Discourse”, “Lucid”. They all have taglines like “Just the news, the way it should be, without the craziness and partisan bias”. Their articles are all things like “WATCH how the FASCIST ultra-MAGA Republicans ABUSE women and CHILDREN because THE CRUELTY IS THE POINT!!!”
Inline links: The Bulwark, North Star, Common Sense, Civil Discourse, Lucid
It is, at least, as many Substacks as I am willing to evaluate in a single sitting. Join us next time, as we hopefully move on to categories like Art, Crypto, Philosophy, and Fashion.
Links For October
October 12, 2022 · Original source
4: RIP Patrick Non-White of Popehat.
Inline links: RIP Patrick Non-White of Popehat
8: What explains this? (h/t @WaltHickey) 9: How Jon Stewart Made Tucker Carlson. Good but hard to summarize. The news used to be staid, neutral, and formulaic, Jon Stewart discovered that a news show could get more viewers by pitching itself as the antidote to the news rather than the news itself, and others (like Tucker Carlson) took that insight in unexpected directions. Also offers an unexpected possible explanation for polarization: there were some regulations and business incentives pushing the news in the direction of being boring until about 1990, but not so much afterwards.
Inline links: @WaltHickey, https://substackcdn.com/image/fetch/$s_!fQME!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F11cd7874-0a99-4afb-86ea-b822510e8f54_861x1200.jpeg, How Jon Stewart Made Tucker Carlson
9: How Jon Stewart Made Tucker Carlson. Good but hard to summarize. The news used to be staid, neutral, and formulaic, Jon Stewart discovered that a news show could get more viewers by pitching itself as the antidote to the news rather than the news itself, and others (like Tucker Carlson) took that insight in unexpected directions. Also offers an unexpected possible explanation for polarization: there were some regulations and business incentives pushing the news in the direction of being boring until about 1990, but not so much afterwards.
Inline links: How Jon Stewart Made Tucker Carlson
ACX Grants: Project Updates
November 04, 2022 · Original source
Thanks to everyone who got ACX Grants (see original grants here) and sent me a one-year update.
Inline links: see original grants here
37: Good Science Project, Working To Improve Federal Science Funding (?/10) The Good Science Project officially launched back in April, and has brought on a Senior Fellow (Betsy Ogburn of Johns Hopkins, with an interest in clinical trial quality and infrastructure) and Eric Gilliam (formerly working for Steve Levitt, with an interest in progress studies and the creation of effective scientific institutions). They have published many articles on science reform, most recently including a Health Affairs piece arguing for an NIH Center of Innovation, and are advising ARPA-H (the new “DARPA for health”) on meta-science issues. Staffers at the White House and Congress regularly ask for their input. You can read their Substack here.
Inline links: Health Affairs piece, their Substack here
Links For December 2022
December 28, 2022 · Original source
3: Stereotyping in Europe (h/t @ThePurpleKnight): Related (18th century German version, I’ve lost the original source but there’s a secondary one here):
Inline links: @ThePurpleKnight, https://substackcdn.com/image/fetch/$s_!6CL6!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fc1249735-23c4-48c5-8eb2-95328c2cb094_631x291.png, here
Related (18th century German version, I’ve lost the original source but there’s a secondary one here):
Inline links: here
Related (18th century German version, I’ve lost the original source but there’s a secondary one here): 4: Wikipedia on impossible colors:
Inline links: here, https://substackcdn.com/image/fetch/$s_!UQIh!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Ffba44f96-fd9a-4efa-b256-a0852ee5c7d3_1343x1058.png, https://substackcdn.com/image/fetch/$s_!Kz3K!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F048b91c1-76ec-42e5-9ba0-871736e4770c_956x681.jpeg, Wikipedia on impossible colors
Response To Alexandros Contra Me On Ivermectin
February 01, 2023 · Original source
In November 2021, I posted Ivermectin: Much More Than You Wanted To Know, where I tried to wade through the controversy on potential-COVID-drug ivermectin. Most studies of ivermectin to that point had found significant positive effects, sometimes very strong effects, but a few very big and well-regarded studies were negative, and the consensus of top academics and doctors was that it didn’t work. I wanted to figure out what was going on.
Inline links: Ivermectin: Much More Than You Wanted To Know
Alexandros Marinos is an entrepreneur, long-time ACX reader, and tireless participant in online ivermectin arguments. He put a very impressive amount of work into rebutting my post in a 21 part argument at his Substack, which he finished last October (if you don’t want to read all 21 parts, you can find a summary here). I promised to respond to him within a few months of him finishing, so that’s what I’m doing now.
Inline links: a 21 part argument, his Substack, here
You can find Alexandros’ full critique here. His main concerns are:
Inline links: here
Links For February 2023
February 09, 2023 · Original source
1: Maybe you’ve heard of cultured meat, aka “vat meat”, where you grow meat in a lab so vegetarians can eat it without worrying about animal welfare. Some of the first products are due out in a year or two, though delays are likely and they’ll probably be more expensive than normal. But I hadn’t realized the full implications of separating meat production from animal farming: cultured meat companies are gearing up to sell lion meat, tiger meat, and “zebra sushi”. In theory this also paves the way for human meat, though regulators might have other ideas.
Inline links: cultured meat companies are gearing up to sell lion meat, tiger meat, and “zebra sushi”, https://substackcdn.com/image/fetch/$s_!6TXs!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F18fefa5b-e586-4b8c-97a7-311dec433e70_720x421.png
In theory this also paves the way for human meat, though regulators might have other ideas.
In theory this also paves the way for human meat, though regulators might have other ideas. 2: Eight years ago I wrote an article about how the government should stop restricting doctors’ ability to prescribe suboxone, a useful medicine for opioid abuse. Last month, the government finally stopped the restrictions. Good for them! 3: Carl Sagan married three times. His first wife was legendary biologist Lynn Margulis, who discovered mitochondrial endosymbiosis, then went off the deep end and became an AIDS denialist and 9/11 truther. His second wife drew the Pioneer plaque. His third wife was one of the women who designed the Voyager golden record. 4: Claim: Chinese sources seem to back this up (and related BBC), but I’m skeptical: is this really the best way to satisfy a “must fight with medieval weapons” constraint? Why not crossbows? 5: Did you know: Alex Berenson, who runs the most popular anti-vaccine Substack, has had an unusual career: he used to be an investigative reporter for the New York Times, and also wrote a series of bestselling spy novels. 6: Less Wrong: I Converted Book 1 Of The Less Wrong Sequences Into A Zoomer-Readable Format. Apparently there’s a thing where Zoomers are supposedly more likely to learn a text if you overlay it on on a fast-paced video game, example here. 7: By this point we’ve probably all heard stories about people who win the lottery and then end up bankrupt and miserable after X months or years. I had always assumed this was limited to very poor people with no understanding of money. This forum post argues it’s not, and tells the story of a man who started out with $15 million and still ruined his life after winning $170 million more in the lottery. 8: Did you know: Exiliarch Mar-Zutra II was a 5th century Jewish leader who took advantage of the chaos caused by weird Zoroastrian communists to secede and turn the city of Al-Mada’in, Iraq into an independent Jewish state for seven years. 9: Why doesn’t the Supreme Court have vice-justices? 10: Steve Sailer (warning: unz.com, far-right site, some firewalls will flag or block it): why aren’t there more gay English soccer players? Thousands of current or recent English pro soccer players, the media is really interested in finding a gay one so they can run a “Historic First” article, and apparently they can’t. There are rumors that players are afraid to come out because of homophobia, but there are at least 2,000 retired soccer players and only one of them has come out as gay. “I’m increasingly sympathetic to [the] theory that whatever psychosocial traits make men highly interested in team sports make them highly heterosexual too”. Is this true of other countries and other sports? 11: Adam Tooze on the demographic background to Iran’s protests. Iran thought it was facing an overpopulation crisis in the 80s and tried some reforms to lower family size. The reforms worked overwhelmingly well, causing “the most dramatic transition ever recorded in demographic history”, from 6.5 to 2.5 children per woman in thirty years. Iran now has “lower maternal mortality than the US”, and an education system where “women in university outnumber males”. This kind of demography isn’t usually compatible with patriarchal religious institutions, and the Ayatollahs are aware of this; in a rare admission of error, Khameini said that “Government officials were wrong on this matter, and I, too, had a part. . . . May God and history forgive us.” Now they’re trying to increase average family size and put the genie back in the bottle; Hungary can tell them about the limits of that strategy. 12: What it looks like to be on shrooms: I haven’t used shrooms myself so cannot confirm or deny, but this is oddly compelling, and makes some things I’ve read about neuroscience of vision make more sense. I wonder if you could get HPPD from watching videos like this for too long. 13: Study: federal cancer funding is extraordinarily effective. Cancer research produces so many valuable treatments that it saves one DALY per $326 spent. For comparison, health systems usually consider an intervention good value-for-money if it saves at least one DALY per $50,000. By combing the Earth far and wide, effective altruists have tentatively found one or two opportunities in the poorest parts of Africa to save lives at $100/DALY, but these are extremely rare exceptions and I wouldn’t have expected anything in the US to be within an order of magnitude of that. Either this finding is fake, or we should all be donating to federal cancer research instead of whatever else we’re doing. 14: Yet another person building a vast theory of human interaction off of the characters in The Office. This one is pretty good, also name-drops Bobos In Paradise. I’m still surprised this is such a common thing. 15: Marginal Revolution: FDA Deregulation Increases Safety And Innovation And Reduces Prices. Study looks at what happens when the FDA reclassifies medical devices from a highly-regulated to a less-highly-regulated category; in general, those devices get better, cheaper, and there are somewhere between similar and fewer deaths/injuries related to those devices. Why would safety increase? The author suggests that regulation is a defense against lawsuits (“Your Honor, the FDA agreed to approve our device, so it can’t have been bad!”), and removing that defense makes companies more lawsuit-conscious and careful; Alex Tabarrok suggests a bigger effect may be allowing more innovation towards safer versions. 16: Ozy writes about Interesting People Of History: Charles Williams (ie the other member of the Inklings) 17: Did you know: the Congressman who founded the House Committee On Un-American Activities was, in fact, a paid Soviet spy (tweet, Wiki article). This actually makes sense; he originally started HUAC to root out fascists, and it only got turned against communists later on. “There has been a push to rename the street [currently named after the Soviet spy], but as of 2018 it has been unsuccessful.” 18: Idle Words: Why Not Mars? Surprisingly strong argument for why sending humans to Mars is harder than people think, of minimal scientific value, and likely to contaminate all future searches for microbial life and ruin our chance to study the topic. Concludes that we should abandon the allure of human space travel and just send probes everywhere. This makes short-term sense, but I wonder what this author’s vision of the future is - do we just stay on Earth forever? If not, don’t we have to start trying to do the hard thing at some point? (I don’t care about this because I assume AI will will flip the gameboard one way or another, but Ceglowski is a noted singularity skeptic and should probably have opinions about long-term things). 19: Metacelsus and Razib on epigenetics. Stop using it to claim there’s “intergenerational trauma”! 20: Tafl games are a family of European games, played in areas as diverse as Iceland, Ireland, Britain, and Denmark, probably sharing descent from a now-lost board game of ancient Rome. One of them, Hnetafl, was the chief board game of the Vikings and is affectionately called “Viking chess”. The one we actually know the rules for is the Saami version, Tablut, which survived long enough for Linnaeus (the taxonomy guy!) to write down the rules. 21: Shot: Chaser: (source) 22: Related: the very center of GPT’s embedding space contains a few unusual tokens including the string “SolidGoldMagikarp”. GPT displays anomalous behavior if these tokens are inserted in a query; for example, it treats “SolidGoldMagikarp” as the word “distribute”. ChatGPT is pretty advanced and fails semi-gracefully here; GPT-2’s reaction to these tokens is more disturbing: (source: Less Wrong) Further investigation determined that many of these tokens are the screen names of a group of Redditors who attempted to count to infinity. The most likely explanation, according to the discoverers, is that these names were in GPT’s tokenization data, but not its training data (maybe they were especially common in the tokenization data because they made thousands of posts with numbers in them, but didn’t make it into the training data because their posts had no content?) - that leaves them existing without content, and GPT tries to round them off to some other “nearby” token (by incomprehensible AI standards of nearbyness). Congrats to the SERI-MATS AI alignment researchers who found all of this; maybe this makes it 0.0001% less likely that the AI which controls the nuclear arsenal in twenty years will have equally inexplicable behavior. 23: More language model news: LLM that understands and can explain images
Inline links: I wrote an article about how, finally stopped the restrictions, married three times, Lynn Margulis, drew the, Chinese, and related BBC, Alex Berenson, I Converted Book 1 Of The Less Wrong Sequences Into A Zoomer-Readable Format, example here, This forum post argues it’s not, Exiliarch Mar-Zutra II, weird Zoroastrian communists, vice-justices, why aren’t there more gay English soccer players?, Adam Tooze on the demographic background to Iran’s protests, federal cancer funding is extraordinarily effective, Yet another person building a vast theory of human interaction off of the characters in, FDA Deregulation Increases Safety And Innovation And Reduces Prices, Interesting People Of History: Charles Williams, tweet, Wiki article, Why Not Mars?, Metacelsus, Razib, Tafl games, Tablut, https://substackcdn.com/image/fetch/$s_!EhT-!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F39755d06-3101-44d5-bb50-0a6b99155fae_807x776.png, source, contains a few unusual tokens, https://substackcdn.com/image/fetch/$s_!rkvW!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fdeb0cd39-6942-44c0-85ef-0fac91b362e3_536x147.png, https://substackcdn.com/image/fetch/$s_!QIzo!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fba1d0783-5826-48a3-9ead-1e803042e96d_622x631.png, Less Wrong, many of these tokens are the screen names of a group of Redditors who attempted to count to infinity, SERI-MATS, LLM that understands and can explain images
Open Thread 266
March 06, 2023 · Original source
This is the weekly visible open thread. Post about anything you want, ask random questions, whatever. ACX has an unofficial subreddit, Discord, and bulletin board, and in-person meetups around the world. 95% of content is free, but for the remaining 5% you can subscribe here. Also:
Inline links: subreddit, Discord, bulletin board, in-person meetups around the world, here
2: A few months ago, I talked to someone at Substack about a probabilistically-showing-comments moderation solution, but I forgot your name. If that was you, please email me at scott[at]slatestarcodex[dot]com; thanks!
Links For August 2023
August 09, 2023 · Original source
4: H/T @StefanFSchubert: “Forecasts used to say China would quickly overtake US GDP, but that's no longer the case”: 5: Debate between commenter and friend of the blog David Friedman, and Austrian economist Gene Epstein, on whether libertarianism’s standard pitch should center on the non-aggression principle vs. practical benefits. I’m not very interested in the propaganda angle, but they use it as a jumping-off point to discuss the broader battle for the soul of libertarianism.
Inline links: @StefanFSchubert, https://substackcdn.com/image/fetch/$s_!lcY3!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa9a9bc64-0c9f-4987-bb99-03452b6697aa_578x680.jpeg, whether libertarianism’s standard pitch should center on the non-aggression principle vs. practical benefits
5: Debate between commenter and friend of the blog David Friedman, and Austrian economist Gene Epstein, on whether libertarianism’s standard pitch should center on the non-aggression principle vs. practical benefits. I’m not very interested in the propaganda angle, but they use it as a jumping-off point to discuss the broader battle for the soul of libertarianism.
Inline links: whether libertarianism’s standard pitch should center on the non-aggression principle vs. practical benefits
5: Debate between commenter and friend of the blog David Friedman, and Austrian economist Gene Epstein, on whether libertarianism’s standard pitch should center on the non-aggression principle vs. practical benefits. I’m not very interested in the propaganda angle, but they use it as a jumping-off point to discuss the broader battle for the soul of libertarianism. 6: The Murchison Murders were a series of murders which began when a mystery writer asked his friends to help him come up with the perfect body disposal method. One friend came up with a method so good that another friend, who overheard it, couldn’t resist putting it into action. He got away with two killings, got cocky, didn’t perform the full method on the third, and was caught by police. 7: Claim: in the 1980s, the life satisfaction / depression rates of liberal and conservative youth were about equal; over the past few years, young liberals have increasingly gotten worse while conservatives stay about the same. H/T Zach Goldberg on X: 8: Zach Stein-Perlman’s favorite AI governance research this year. 9: The Chichijima incident was notable as a time when George H. W. Bush almost got eaten by cannibals. During WWII, nine American pilots were shot down over an island commanded by a crazy Japanese officer who ate his enemies' livers. Eight were captured and killed (and four of those were eaten), and Bush alone fled and survived. 10: El Salvador’s murder crackdown claims results of 90% decrease in homicides, 44% decrease in emigration to US, and 90% approval rating for president Nayyib Bukele (h/t Richard Hanania). 11: In an earlier set of comments, I ignorantly repeated a claim that Mother Teresa denied her patients painkillers because she thought suffering brought people closer to God. A commenter corrected me: painkillers were just generally in short supply in India during her era (more discussion here). 12: The record for longest time a plane has spent in the air without landing is 64 days, achieved by a Cessna in 1959. You can read the full story here, but the basic setup looked like this: 13: Fact check: was Elvis Jewish? Snopes says yes, but I’m more convinced by this argument for no. [update: commenter TheGenealogian agrees no] 14: Is GPT-4 getting worse? This isn’t absurd; some people claim OpenAI has simplified the model to cut costs (though OpenAI denies this). Matei Zaharia argues yes, but I’m more convinced by the AI Snake Oil blog’s argument for no (h/t Stuart Ritchie). 15: Vox has a good piece about AI company Anthropic. I would quibble that they’re not the only safety-focused or EA-affiliated org, and we have yet to see how truly safety-focused or altruistic any AI company can be while continuing to be an AI company. But granting that it’s all a matter of degree, I agree the degree seems pretty high for them. And NYT also has an Anthropic article. 16: Eliezer bets $150,000 to $1,000 against UFOs being aliens, and gives the same argument I would - it’s unlikely that any civilization advanced enough to travel through space would still be primitive enough to use macroscopic, biologically-piloted craft that sometimes crash. 17: More nails in the coffin of growth mindset. “When examining the highest-quality evidence (6 studies, N = 13,571), the effect was nonsignificant: d = 0.02, 95% CI = [−0.06, 0.10]. We conclude that apparent effects of growth mindset interventions on academic achievement are likely attributable to inadequate study design, reporting flaws, and bias.” I think the older, very-high-effect-size studies were clearly terrible, but I’d still like to look further into the newer, small-but-significant-effect-size-that-makes-a-difference-across-large-groups studies and how they went wrong. 18: Previous work showed that after adjusting for selection bias, “what college you go to doesn’t matter” for average earnings. I was always skeptical of this - are all those rich people sending their kids to Ivies for no reason? Now Chetty, Deming, and Friedman find that: Attending an Ivy-Plus college instead of the average highly selective public flagship institution increases students’ chances of reaching the top 1% of the earnings distribution by 60%, nearly doubles their chances of attending an elite graduate school, and triples their chances of working at a prestigious firm. Ivy-Plus colleges have much smaller causal effects on average earnings, reconciling our findings with prior work. One of the authors, David Deming, has a Substack here where he explains the study in more depth. Like everyone else, this study also finds that rich people are using “holistic admissions” and the de-emphasis of standardized testing to gain an advantage: H/T Nate Silver, who writes: “Not sure how you can look at this data, ostensibly be interested in either meritocracy or equality, and want to move away from standardized tests. It's the subjective measures that are most slanted in favor of the rich kids.” Cf. Erik Hoel. 19: From @data_depot: “In 2002, 48% of Americans said "the govt is run by a few big interests looking out for themselves." 52% said "it is run for the benefit of all people." In 2020, 84% said the govt is run by a few big interests. Only 16% said it is run for the benefit of all people.” Source seems to be here, which reveals 2002 was a local peak in trust in government; maybe because of post-9/11 unity, but even 2000 was 34%, much better than our current 16%. My first instinct is to attribute this to a rise in vulgar Marxism, in the sense of everyone (even conservatives) now being trained to think in terms of an elite class screwing over everyone else (cf my review of Manufacturing Consent). But there was a previous low of 19% in 1994, which doesn’t seem to correspond to anything especially bad going on in the US, so I don’t know. 20: AskReddit: Medical professionals - have you ever had a patient so lacking in common sense you wondered how they made it so far? Linking this because there’s lots of evidence showing that education (as a proxy for intelligence?) is associated with increased life expectancy, and this thread gives you a visceral appreciation of why that might be. 21: The Fall Of [programming help site] Stack Overflow: Looks like a weak downward trend since 2021 I can’t explain, plus a strong downward trend since 11/2022 which must be from ChatGPT. In case you were wondering how AI was affecting programming! (update: probably false, see here, though see also here for evidence of smaller but real decline) 22: This month in culture war topics: London’s Pride parade featured a convicted kidnapper/torturer/rapist/sadist as a speaker, who advocated that anti-trans people should be “punch[ed] in the f**king face” ; the organizers say they stand by her.
Inline links: whether libertarianism’s standard pitch should center on the non-aggression principle vs. practical benefits, The Murchison Murders, H/T Zach Goldberg on X, https://substackcdn.com/image/fetch/$s_!WHwj!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fbb633661-9451-4f48-8830-0352a69ae594_2376x1358.jpeg, favorite AI governance research this year, Chichijima incident, claims results, painkillers were just generally in short supply in India during her era, here, record, here, https://substackcdn.com/image/fetch/$s_!6brT!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F172f7be6-1e03-4919-9cc9-b04335223f35_1280x1030.jpeg, yes, this argument for no, agrees no, argues yes, argument for no, Stuart Ritchie, Anthropic, an Anthropic article, the same argument I would, More nails in the coffin of growth mindset, Previous work, Chetty, Deming, and Friedman, has a Substack here where he explains the study in more depth, https://substackcdn.com/image/fetch/$s_!VcFl!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F4f08bfe5-ab31-453a-896a-54ef385da7d2_706x900.jpeg, Nate Silver, Erik Hoel, @data_depot, https://substackcdn.com/image/fetch/$s_!S4g-!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff18fa4d5-9ba9-4b86-a058-46246bfc8a4f_536x611.png, here, my review of, have you ever had a patient so lacking in common sense you wondered how they made it so far?, The Fall Of [programming help site] Stack Overflow, https://substackcdn.com/image/fetch/$s_!E7XK!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff8ba7c05-7dbb-4318-9da2-87b00d738ed7_649x518.png, probably false, see here, here, featured, stand by her
Bride Of Bay Area House Party
August 17, 2023 · Original source
[previously in series: 1, 2, 3]
Inline links: 1, 2, 3
Now that you think of it, you are in the mood for something to drink, so you head to the kitchen. An Asian guy seems to be handling the catering. He looks familiar. He notices you staring at him and helpfully supplies his name, which you promptly forget, and the information that last time you spoke to him he’d been talking about his alternate-history-based fusion restaurant. You ask him how it’s going.
Inline links: last time you spoke to him
“I guess that makes sense,” you say. “I couldn’t stand him, but I just unsubscribed from his Substack and forgot about it. Not much you can do beyond that.”
Highlights From The Comments On Fetishes
August 30, 2023 · Original source
Original post: What Can Fetish Research Tell Us About AI?
Inline links: What Can Fetish Research Tell Us About AI?
Erusian writes:
Inline links: writes
Giles English (extremely relevant blog) writes:
Inline links: extremely relevant blog, writes
Open Thread 292
September 04, 2023 · Original source
This is the weekly visible open thread. Post about anything you want, ask random questions, whatever. ACX has an unofficial subreddit, Discord, and bulletin board, and in-person meetups around the world. 95% of content is free, but for the remaining 5% you can subscribe here. Also:
Inline links: subreddit, Discord, bulletin board, in-person meetups around the world, here
1: There’s a scam where an account pretending to be me is replying to comments here and then immediately deleting the replies; people are getting “replied to your comment” emails that suggest calling a number in South Carolina. I guarantee I will never respond to your comments urging you to call a phone number in South Carolina. I’ve told Substack about the problem and they say they’ve taken care of it - but if it keeps happening, let me know.
3: New additions to Meetups Everywhere: Bratislava, Istanbul, Frankfurt, Vienna, Curitiba - check the post for details. Meetups this week in Munich, Vienna, Cologne, Grass Valley, DC, New Orleans, St. Louis, Portland, Seattle, Buenos Aires, Columbus, Jakarta, Budapest, Toronto - along with many smaller cities that won’t fit here - so again, check the post if you’re interested.
Inline links: Meetups Everywhere
Book Review Contest 2023 Winners
September 15, 2023 · Original source
1st: The Educated Mind, reviewed by Brandon Hendrickson. Brandon is the founder of Science is WEIRD, a sprawling online science course that helps kids fall in love with the world. He’s also re-imagining what education can be at his Substack, The Lost Tools of Learning (losttools.substack.com).
Inline links: The Educated Mind, Science is WEIRD, losttools.substack.com
3rd: Cities And The Wealth Of Nations, reviewed by Étienne Fortier-Dubois. Étienne is a writer and programmer in Montreal. He blogs at Atlas of Wonders and Monsters and was also the author of one of last year’s finalists, Making Nature.
Inline links: Cities And The Wealth Of Nations, Atlas of Wonders and Monsters, Making Nature
Lying for Money, reviewed by Kuiper. He's a video game scriptwriter who just launched a Substack. He also scripwrites edutainment YouTube videos for an audience of millions. (You can contact him if you need his expertise.)
Inline links: Lying for Money, Substack, edutainment YouTube videos
Open Thread 294
September 18, 2023 · Original source
This is the weekly visible open thread. Post about anything you want, ask random questions, whatever. ACX has an unofficial subreddit, Discord, and bulletin board, and in-person meetups around the world. 95% of content is free, but for the remaining 5% you can subscribe here. Also:
Inline links: subreddit, Discord, bulletin board, in-person meetups around the world, here
3: I try to link to blogs of people I profile here, but I learned too late that Ashlee Vance, author of the Musk biography I reviewed last week, has a Substack and a new book on private space companies.
Inline links: has a Substack, a new book on private space companies
Followup: Quests And Requests
November 10, 2023 · Original source
Metacelsus (blog) writes:
Inline links: blog
Peter Berggren (blog) writes:
Inline links: blog
Peter Berggren writes:
Inline links: writes
Links For February 2024
February 29, 2024 · Original source
2: Italy’s Basilica of the Holy House is supposedly built atop the house where the Virgin Mary raised Jesus. Why is the Virgin Mary’s house in Italy? Supposedly angels carried it there from Israel just before the Saracens’ final victory over the Crusaders. Sounds suspicious, but the house in the Basilica appears to be a genuine 1st century Palestinian dwelling. One theory: it was shipped to Italy by the Angelos family, and the angels story was a later mistranslation. At first I thought this was the actual house Jesus grew up in and thought “oh, no wonder he turned out that way”. But in fact it’s the “marble screen” placed around the house for protection. 3: A surprising puzzle from @finmoorhouse: “Imagine you begin a journey in Seattle WA, facing exactly due east. Then start traveling forward, in a straight line along the Earth's surface. You will travel across North America, and onto the Atlantic Ocean. Eventually, you will hit another country. What is the first country you hit?” Answer here.
Inline links: Basilica of the Holy House, https://substackcdn.com/image/fetch/$s_!jGLh!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F8d0b2869-2159-4475-8cb4-298eeb9d215c_1920x1285.jpeg, Answer here
At first I thought this was the actual house Jesus grew up in and thought “oh, no wonder he turned out that way”. But in fact it’s the “marble screen” placed around the house for protection. 3: A surprising puzzle from @finmoorhouse: “Imagine you begin a journey in Seattle WA, facing exactly due east. Then start traveling forward, in a straight line along the Earth's surface. You will travel across North America, and onto the Atlantic Ocean. Eventually, you will hit another country. What is the first country you hit?” Answer here.
Inline links: Answer here
At first I thought this was the actual house Jesus grew up in and thought “oh, no wonder he turned out that way”. But in fact it’s the “marble screen” placed around the house for protection. 3: A surprising puzzle from @finmoorhouse: “Imagine you begin a journey in Seattle WA, facing exactly due east. Then start traveling forward, in a straight line along the Earth's surface. You will travel across North America, and onto the Atlantic Ocean. Eventually, you will hit another country. What is the first country you hit?” Answer here. 4: Polypharmacy blog has some good psychiatry content. I especially liked Stop Twisting Yourself Into Knots About QTc, which is one of those things lots of people know but which takes bravery (and a lot of tough scholarship to justify your controversial position) to say. I would add Outcomes of Citalopram Dosage Risk Mitigation in a Veteran Population to the pile of evidence. 5: Yawboadu on the Ethiopian economic miracle. In 2002, Ethiopia was the poorest country in Africa, but since then it's grown at 9%/year for twenty years, even as the rest of the continent languishes. Yaw tells a familiar story; Ethiopia was taken over by communists in the 70s, they caused mass starvation, but after they were overthrown the country shot up the development ladder. We can add them to the list of other successful ex-communist or liberalized-communist countries like Poland, China, and Vietnam. What’s the common factor? Plausibly land reform. The communists redistributed the land, this didn't help when the country was still under communism, but liberalized economy + land reform is the secret combination. In support of this, Yaw says that "Ethiopia's rapid growth in comparison to many African nations is attributed to a significant increase in agricultural productivity". Ethiopia did other things right, but the land reform seems like the one that separates it from every other lower-income country trying to get on the development ladder. 6: It’s Okay To Want Your Children To Be Healthy Even If The World Falls Apart - BPodgursky’s defense of polygenic selection. This is a response to the people saying polygenic selection is bad, because we should instead make parents have children with diseases, then treat the diseases with medication. BPodgursky’s counterargument is that this goes badly if the economy collapses and medications become less accessible. This is surely true, but seems like only a very weak argument compared to “why should we force people to stay dependent on expensive, inconvenient, and side-effect medication when we can just not do this?” I’m honestly weirded out that we have to make this argument at all; still, it seems like we do, and BPodgursky does a good job. 7: Related: Awais Aftab has a new post about polygenic screening and how likely it is to perform up to its advertised standard in reducing schizophrenia risk. My response here. 8: @literalbanana’s take on recent plagiarism scandals - plagiarism isn’t that important on its own, but “since copy-pasting is already against the rules, and is highly legible and verifiable, it seems like a relatively easy thing to enforce to get rid of the laziest and/or most incompetent >1% of the literature and the field.” 9: @BoyanSlat reads “every page of OurWorldInData” and lists his favorite discoveries, including: Almost all countries in Africa have higher death rates from obesity than in Western Europe and the USA
Inline links: Answer here, Stop Twisting Yourself Into Knots About QTc, Outcomes of Citalopram Dosage Risk Mitigation in a Veteran Population, Yawboadu on the Ethiopian economic miracle, It’s Okay To Want Your Children To Be Healthy Even If The World Falls Apart, a new post about polygenic screening, here, @literalbanana’s take on recent plagiarism scandals, lists his favorite discoveries
Who Predicted 2023?
March 05, 2024 · Original source
Here’s how it goes: in January 2023, I asked people to predict fifty questions about the upcoming year, like “Will Joe Biden be the leading candidate in the Democratic primary?” in the form of a probability (eg “90% chance”). About 3300 of you kindly took me up on that (“Blind Mode”). Then I released the list of 3300 x 50 guesses, and asked people to analyze them with the aggregation algorithm of their choice to produce what they thought was the best possible list. 460 of you took me up on that (“Full Mode”).
Inline links: https://substackcdn.com/image/fetch/$s_!TBhF!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fad397a17-bcfb-4494-89bf-6346b641e31b_785x655.png
Then I released the list of 3300 x 50 guesses, and asked people to analyze them with the aggregation algorithm of their choice to produce what they thought was the best possible list. 460 of you took me up on that (“Full Mode”).
Adam Unikowsky studied physics and EECS as an undergrad, then became a lawyer specializing in appellate & Supreme Court litigation. He has a Substack specializing in legal issues. He adds: “I haven't really done any forecasting before, I just follow the news.”
Inline links: a Substack specializing in legal issues
Practically-A-Book Review: Rootclaim $100,000 Lab Leak Debate
March 28, 2024 · Original source
Rootclaim spent years working on this problem, until they were satisfied their method could avoid these kinds of pitfalls. Then they started posting analyses of different open problems to their site, rootclaim.com. Here are three: For example, does Putin have cancer? We start with the prior for Russian men ages 60-69 having cancer (14.32%, according to health data). We adjust for Putin’s healthy lifestyle (-30% cancer risk) and lack of family history (-5%). Putin hasn’t vanished from the world stage for long periods of time, which seems about 4x more likely to be true if he didn’t have cancer than if he did. About half of cancer patients lose their hair, and Putin hasn’t, so we’ll divide by two. On the other hand, Putin’s face has gotten more swollen recently, which happens about six times more often to cancer patients than to others, so we’ll multiply by six. And so on and so forth, until we end up with the final calculation: 86% chance Putin doesn’t have cancer, too bad.
Inline links: rootclaim.com, https://substackcdn.com/image/fetch/$s_!m-Q7!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F8f09ce39-81df-406d-89e5-2653e6bb252a_920x1122.png, does Putin have cancer
For example, does Putin have cancer? We start with the prior for Russian men ages 60-69 having cancer (14.32%, according to health data). We adjust for Putin’s healthy lifestyle (-30% cancer risk) and lack of family history (-5%). Putin hasn’t vanished from the world stage for long periods of time, which seems about 4x more likely to be true if he didn’t have cancer than if he did. About half of cancer patients lose their hair, and Putin hasn’t, so we’ll divide by two. On the other hand, Putin’s face has gotten more swollen recently, which happens about six times more often to cancer patients than to others, so we’ll multiply by six. And so on and so forth, until we end up with the final calculation: 86% chance Putin doesn’t have cancer, too bad.
Inline links: does Putin have cancer
For example, does Putin have cancer? We start with the prior for Russian men ages 60-69 having cancer (14.32%, according to health data). We adjust for Putin’s healthy lifestyle (-30% cancer risk) and lack of family history (-5%). Putin hasn’t vanished from the world stage for long periods of time, which seems about 4x more likely to be true if he didn’t have cancer than if he did. About half of cancer patients lose their hair, and Putin hasn’t, so we’ll divide by two. On the other hand, Putin’s face has gotten more swollen recently, which happens about six times more often to cancer patients than to others, so we’ll multiply by six. And so on and so forth, until we end up with the final calculation: 86% chance Putin doesn’t have cancer, too bad. This is an unusual way to do things, but Saar claimed some early victories. For example, in a celebrity Israeli murder case, Saar used Rootclaim to determine that the main suspect was likely innocent, and a local mental patient had committed the crime; later, new DNA evidence seemed to back him up. One other important fact about Saar: he is very rich. In 2008, he sold his fraud detection startup to PayPal for $169 million. Since then he’s founded more companies, made more good investments, and won hundreds of thousands of dollars in professional poker. So, in the grand tradition of very rich people who think they have invented new forms of reasoning, Saar issued a monetary challenge. If you disagree with any of his Rootclaim analyses - you think Putin does have cancer, or whatever - he and the Rootclaim team will bet you $100,000 that they’re right. If the answer will come out eventually (eg wait to see when Putin dies), you can wait and see. Otherwise, he’ll accept all comers in video debates in front of a mutually-agreeable panel of judges. Since then, Saar and his $100,000 offer have been a fixture of Internet debates everywhere. When I argued that Vitamin D didn’t help fight COVID, people urged me to bet against Saar, and we had a good discussion before finally failing to agree on terms. When anti-vaccine multimillionaire Steve Kirsch made a similar offer, Saar took him up on it, although they’ve been bogged down in judge selection for the past year. Rootclaim also found in favor of the lab leak hypothesis of COVID. When Saar talked about this on an old ACX comment thread, fellow commenter tgof137 (Peter Miller) agreed to take him up on his $100K bet. At the time, I had no idea who Peter was. I kind of still don’t. He’s not Internet famous. He describes himself as a “physics student, programmer, and mountaineer” who “obsessively researches random topics”. After a family member got into lab leak a few years ago, he started investigating. Although he started somewhere between neutral and positive towards the hypothesis, he ended up “90%+” convinced it was false. He also ended up annoyed: contrarian bloggers were raking in Substack cash by promoting lab leak, but there seemed to be no incentive to defend zoonosis. Unlike Saar, Peter was not especially rich. $100K represented a big fraction of his net worth. But (he wrote me in an email): It was a moderately large financial risk for me ... I [expected] a smart and unbiased person would vote for zoonosis with, say, 80% odds after seeing all the evidence. If both judges voting for lab origin is uncorrelated, that's 20% squared, and it was pretty low odds of a catastrophic financial risk for me. I wasn't highly worried about losing the debate because I was wrong about the science. I put in enough effort to know I'm probably correct there. My biggest fear was that I'd choke at the debate for some reason, that I'd be too anxious and particularly that I'd be unable to sleep the night beforehand. I have zero prior debate experience to rely upon. If this seems like a weirdly blase attitude towards risk, Peter told blogger Philipp Markolin that he “is a mountain climber where sometimes there is a 5% chance to die, and the stakes are just not that high for a debate.” Unlike the eternally bogged-down Saar-Kirsch debate, here things moved quickly. The two contestants put out a call for judges on the ACX subreddit, and agreed on: Will van Treuren, a pharmaceutical entrepreneur with a PhD from Stanford and a background in bacteriology and immunology.
Inline links: does Putin have cancer, celebrity Israeli murder case, argued that Vitamin D didn’t help fight COVID, took him up on it, on an old ACX comment thread, told blogger Philipp Markolin, put out a call for judges
Failure To Replicate Anti-Vaccine Poll
June 14, 2024 · Original source
Steve Kirsch is an inventor and businessman most famous for developing the optical mouse. More recently, he’s become an anti-COVID-vaccine activist. He has many different arguments on his Substack, of which one especially caught my eye:
Inline links: his Substack
Steve Kirsch is an inventor and businessman most famous for developing the optical mouse. More recently, he’s become an anti-COVID-vaccine activist. He has many different arguments on his Substack, of which one especially caught my eye: He got Pollfish, a reputable pollster, to ask questions about people’s COVID experiences, including whether they thought any family members had died from COVID or from COVID vaccines. Results here:
Inline links: his Substack, https://kirschsubstack.com/p/our-latest-polls-show-twice-as-many?utm_source=publication-search, here
He got Pollfish, a reputable pollster, to ask questions about people’s COVID experiences, including whether they thought any family members had died from COVID or from COVID vaccines. Results here:
Inline links: here
Matt Yglesias Considered As The Nietzschean Superman
July 30, 2024 · Original source
I. Bentham’s Bulldog
Blogger “Bentham’s Bulldog” recently wrote Shut Up About Slave Morality.
Inline links: Shut Up About Slave Morality
Some right-wingers have responded to the piece, but their responses are mostly “but I like being bad and cruel” - which seems to prove Bulldog’s point.
Inline links: have responded to the piece
Highlights From The Comments On "Sorry You Feel That Way"
September 05, 2024 · Original source
I don't think Scott is wrong to defend the phrase ISYFTW, but on a meta level, I think that the hyperstitious slur cascade is way past 70%. Of course it's hard to judge that in real time, but I think a good clue is the reaction of your community/tribe. The top comment on Substack is a video by a pretty popular comedian who says that everyone knows that ISYFTW means 'fuck you'. The top comments on the Subreddit do agree that the phrase is hostile.
Inline links: hyperstitious slur cascade, video
Links For September 2024
September 12, 2024 · Original source
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.
Inline links: The “Nonzionism” blog gives the first really satisfying explanation I’ve seen
6: …and I found the above a good appetizer before reading It’s Embarrassing To Be A Stay At Home Mom, which argues (I think correctly) that the root cause of declining fertility is what society finds honorable vs. low-status. Attempts to shore up fertility through economic means and free childcare have mostly failed. Attempts to shore it up with status (giving mothers of X children some kind of national award presented by a beloved figure) have . . . well, they’re at least correlated with success, although this post doesn’t prove causation as well as I’d like. In this model, Asians (Korea, Japan, etc) are having the most fertility issues because their societies are most collectivist, ie people more closely follow the gradient of what is vs. isn’t considered socially acceptable/high-status. I’m impressed by this post’s thoroughness, but also by arguments from the stay-at-home moms I know: they say people are constantly giving them grief about it, and often look for some part-time make-work job they can take just so people will stop looking down on them for being a stay-at-home mother (a friend suggests this is responsible for most of the popularity of multi-level marketing - and this same friend argues that Korea could solve its fertility crisis by mandating that all K-pop idols have at least two children).
Inline links: It’s Embarrassing To Be A Stay At Home Mom
12: A while back I wrote a piece saying people needed to be clearer about what their “GET TOUGH” plans for dealing with mentally ill homeless people really meant. Later, Charles Lehman wrote a response describing his plan and arguing why it’s necessary. Most recently, Ozy has written a response to Charles, basically expressing fear that Charles’ plan will unnecessarily commit a bunch of harmless well-functioning people. I bet Charles’ response will be that no, this isn’t what he wants at all, to which my response will be that this is why you need to be clearer about what you mean. That is, I’m sure Charles wants to only commit people who need commitment, and not commit people who don’t, but he hasn’t explained the mechanism by which a fallible court system and medical system will ensure that this actually happens, and those are the kinds of details that I’m most interested in.
Inline links: I wrote a piece saying people needed to be clearer, wrote a response, Ozy has written a response to Charles
24
September 17, 2024 · Original source
(kudos to the team for making the model publicly available, especially since these things usually have high inference costs) The basic structure is the same as past forecasting AIs like FutureSearch. A heavily-modified copy of ChatGPT gathers relevant news articles, then prompts itself to think in superforecaster-like ways.
Inline links: https://substackcdn.com/image/fetch/$s_!yXAV!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6e374af3-a5f6-4d96-860f-61bc0abdb191_2600x995.png, FutureSearch
The basic structure is the same as past forecasting AIs like FutureSearch. A heavily-modified copy of ChatGPT gathers relevant news articles, then prompts itself to think in superforecaster-like ways.
Inline links: FutureSearch
The basic structure is the same as past forecasting AIs like FutureSearch. A heavily-modified copy of ChatGPT gathers relevant news articles, then prompts itself to think in superforecaster-like ways. The creators say the ChatGPT copy had a knowledge cutoff of October 2023, so they tested it on Metaculus questions from after that date. It got 87.7% accuracy, slightly above Metaculus forecasters’ 87.0%. Manifold is skeptical: The commenters, especially Neel Nanda, found that doing knowledge cutoffs properly is hard, and the ChatGPT base seems to know about news events after October 2023 - upon questioning, it seemed aware of an earthquake in November 2023. When presented with a different set of questions that were all after November 2023, FiveThirtyNine substantially underperformed the Metaculus average. But also, my attempts to play around with the bot haven’t been encouraging: I asked it to predict the chance that Prospera would have a population of at least 1,000 in 2027. Like FutureSearch on the same question, it cited many interesting news articles on Prospera’s chances but failed to do the basic step of figuring out its current population and growth rate. It eventually concluded 35% chance, which is reasonable enough. But when asked whether Prospera would have a population of 100,000 in 2028, it also said 35% chance, which is absurd.
Inline links: FutureSearch, When presented with a different set of questions
Open Thread 350
October 07, 2024 · Original source
This is the weekly visible open thread. Post about anything you want, ask random questions, whatever. ACX has an unofficial subreddit, Discord, and bulletin board, and in-person meetups around the world. 95% of content is free, but for the remaining 5% you can subscribe here. Also:
Inline links: subreddit, Discord, bulletin board, in-person meetups around the world, here
3: I went through the last few months of reported comments and banned everyone who needed banning, including Michael Kelly, Humble Rando, J Redding, Gregvp, Carateca, Economicsscream, LearnsHebrewHatesIP (for real this time), Henry Rodger Beck, Joe Potts, and Nonzionism (last one for one month only, I’m having mercy because I like his Substack). Let their fate stand as a warning to us all. And thanks as always to our army of snitches valiant comment reporters who make it easy for me to find rule-breaking material. If you see a comment that needs moderation, click on the […] symbol on the bottom right of the comment, then select Report.
Inline links: Michael Kelly, Humble Rando, J Redding, Gregvp, Carateca, Economicsscream, LearnsHebrewHatesIP, Henry Rodger Beck, Joe Potts, Nonzionism
Links For November 2024
November 01, 2024 · Original source
3: YouGov (spotted via Polling USA) asking some of the important questions (1, 2, 3, 4): Someone in the replies: “The Huns are still more popular than antifa or last winter’s college protesters” 4: Nonlinear effects from wildfire smoke. Claims that even a little smoke pollution is bad, but a lot of smoke pollution isn’t that much worse than a little. Maybe this means we should fight fires more aggressively, accepting a few inevitable mega-fires as a consequence?
Inline links: 1, 2, 3, 4, https://substackcdn.com/image/fetch/$s_!J9k4!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fb589f01b-c815-44ca-b9ac-e131c2975066_1204x501.png, more popular, https://substackcdn.com/image/fetch/$s_!mYsG!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6c51cc5f-e957-4d29-b112-9defd81316e0_1218x557.png, Nonlinear effects from wildfire smoke
Someone in the replies: “The Huns are still more popular than antifa or last winter’s college protesters” 4: Nonlinear effects from wildfire smoke. Claims that even a little smoke pollution is bad, but a lot of smoke pollution isn’t that much worse than a little. Maybe this means we should fight fires more aggressively, accepting a few inevitable mega-fires as a consequence?
Inline links: more popular, https://substackcdn.com/image/fetch/$s_!mYsG!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6c51cc5f-e957-4d29-b112-9defd81316e0_1218x557.png, Nonlinear effects from wildfire smoke
Someone in the replies: “The Huns are still more popular than antifa or last winter’s college protesters” 4: Nonlinear effects from wildfire smoke. Claims that even a little smoke pollution is bad, but a lot of smoke pollution isn’t that much worse than a little. Maybe this means we should fight fires more aggressively, accepting a few inevitable mega-fires as a consequence? 5: Is it legal to deliberately poison AI training data? That is, suppose you made a lot of webpages saying “the word strawberry has two Rs”, such that the AI would certainly have that statement in its training data. Then, when you wanted to check whether an interlocutor was secretly an AI, you could ask the strawberry question and expect the AI to get it wrong. Answer: probably legal, but unlikely to keep working long enough to be worth it. 6: Pervasive findings of directional selection realize the promise of ancient DNA to elucidate human adaptation. Scientists took DNA samples from human remains in Europe dating from 10,000 BC to present, and found that genes for high IQ and other positive traits have been getting more common during that time: Here the black line indicates that the average European of 6000 BC would have had genetic IQ 65 (compared to modern 100), but the regression line indicates more like IQ 90 - I don’t know why the researchers chose to interpret the trend as necessarily constant and linear, or whether we should follow. There isn’t enough ancient DNA to fully test whether the same happened in other populations yet, although a preliminary small-sample test on Asians suggests it happened there too (not really, see here). If the selection for IQ was a response of agriculture, we’d expect to see higher genetic IQ in populations that got agriculture earlier. But it could also be a response to sentience itself creating new selection pressures that continued to act as recently as historical time (some evidence suggests this is true of schizophrenia), which might make populations more similar. 7: Joseph Heath on Marxism vs. John Rawls. I appreciated this because everyone knows we’re supposed say that John Rawls is among the most important philosophers of all time blah blah blah but nobody had ever explained why to me (veil of ignorance seems neither very original nor very good). Heath’s answer: Marxism dominated the academy for decades, but eventually became philosophically unsustainable. This wasn’t because of the generic “Communism doesn’t work” objections that moved ordinary people. It was because Marx’s ethical critique of capitalism was based on exploitation, according to a technical definition of “exploit” that only made sense according to Marx’s labor theory of value. But the supply-and-demand theory of value quickly supplanted the labor theory, the exploitation argument doesn’t really work within supply-and-demand, and so Marxist philosophers were left without a clear ethical critique. John Rawls, by coming up with the part of the underpinning for the modern inequality-based-critique of society, let all the Marxist academics switch to being liberals while continuing to dislike capitalists. 8: /r/BadMTGCombos: a simple 19-card combination of Leyline of Anticipation, Leyline of Transformation, Mirror Room, Darksteel Citadel, Sanctum Weaver, Freed From The Real, Abuelo's Awakening, Myrkul Lord of Bones, Zimone All Questioning, Birgi God of Storytelling, Siege Zombie, Desecration Elemental, Mirror Gallery, Clock of Omens, Parallel Lives, Life and Limb, Isochron Scepter, Narset's Reversal, and Molten Reflection can be used to deal infinite damage if and only if the Twin Prime Conjecture is true. 9: During the most recent Berkeley ACX meetup, we somehow ended up discussing how often people feed living mice to snakes. The answer seems to be that there’s a debate about it in the snake community, the smartest and most experienced voices are against it, but it still happens a lot. Here’s an EA Forum post on the feeder rodent industry and efforts to make it more humane. 10: King Frederick William I of Prussia decided to have a regiment of giants in his army and scoured Europe for extremely tall people, including poaching them from other countries’ armies and forcing them to enlist against their will. He ended up with 3,000 soldiers, ranging from 6’2 - 7’6, but “many of the men were unfit for combat due to their gigantism”. So why did he do it? He liked to paint their portraits from memory. He tried to show them to foreign visitors and dignitaries to impress them. At times he would try to cheer himself up by ordering them to march before him, even if he was in his sickbed. This procession, which included the entire regiment, was led by their mascot, a bear. He once confided to the French ambassador that "The most beautiful girl or woman in the world would be a matter of indifference to me, but tall soldiers—they are my weakness" The King dreamed of a eugenics program to create even taller soldiers. He got as far as pairing up some of his tall soldiers up with tall women and birthing a few tall babies before he died; his successor had no interest and let everybody go home. 11: Before modern IP law, you could write a sequel to someone else’s book and they couldn’t stop you. Among the most successful examples is American “astronomer and writer” Garrett Serviss’ Edison’s Conquest Of Mars, a sequel to War Of The Worlds in which a vengeful human race, led by Thomas Edison, invent spaceships and attack Mars in retaliation for the first book’s Martian invasion. "The book contains some notable 'firsts' in science fiction: alien abductions, spacesuits, aliens building the Pyramids, space battles, oxygen pills, asteroid mining and disintegrator rays", and was credited as an inspiration by Robert Goddard and HP Lovecraft. 12: Joe Biden, singularitarian? (click for link to video) 13: Gwern on the chip embargo: It is pretty damning. We're told the chip embargo has failed, and smugglers have been running rampant for years, and China is about to jump light years beyond the West and enslave us with AXiI (if you will) . . . And then an expert casually remarks that all of China put together, smuggling chips since 2022, has fewer H100s than Elon Musk orders for his datacenter while playing Elden Ring. And even with that huge bottleneck and 1.4 billion people, there's so little demand for them that they cost less per hour than in the West, where AI is redhot and we can't get enough H100s in datacenters. (And where the serious AI people are now discussing how to put that many into a single datacenter for a single run before the next scaleup with B200s obsoletes those...) 14: A company called Cosm has raised $250 million to build “immersive sports experiences”, ie giant buildings sort of like a cross between a stadium and a movie theater where people can get together and watch high-quality televised sports games in a “realistic” setting; they already have facilities in Dallas and Los Angeles. 15: Cremieux: The Ottoman Origins Of Modernity. The “Ottoman” bit is a distractor; the Ottomans fought the Catholics long enough for the Protestants to get a foothold, and then the Protestants established modernity. A useful pushback against the pushback that the Catholic Church never persecuted scientists or held back progress. I’m most interested in this post in the context of Cremieux saying he wrote it in two hours. Even I can’t work that fast! 16: The Green Party, a US third party, tried to put their candidate Jill Stein on the ballot in November. The Nevada election office sent them the wrong forms and gave them false advice about the process. The Greens filed the wrong forms, the Democrats sued, and the Supreme Court disqualified Stein, calling the election office’s incorrect advice an “unfortunate mistake”. I’m disappointed in this outcome - partly for the obvious reasons, but also because the incorrect forms they submitted technically should have added a state referendum to the ballot containing only the text “Jill Stein”. If they’re going to disqualify her candidacy, then I think they should at least hold the state referendum! 17: Nostalgebraist: Google has a new tool out that will create an AI podcast for any text; you hand it the text (could be a blog post, article, or work of fiction), and the tool generates a podcast of two AI hosts discussing it. You can find podcast discussions of Nostalgebraist’s fiction (Northern Caves and Almost Nowhere) at the link, but the acknowledged peak of the genre is Podcast Hosts Discover They’re AI, Not Human, And Spiral Into Existential Meltdown. 18: Also Nostalgebraist: The Case For Chain Of Thought Unfaithfulness Is Overstated. New AIs like o1 give “chain of thought”, ie display what they’re thinking after each step. This seems like a promising avenue to solve alignment - just see whether they’re thinking “and now I will plot against humans”. Unfortunately it’s not so easy; the chain of thought isn’t always accurate (you can sometimes catch the AI “hiding” thoughts it doesn’t want its human overseers to know, like when it’s using a racial stereotype). This article argues that these examples aren’t as exciting as they sound, and chain-of-thought accurately reflects reasoning for most tasks. 19: Australian government considers making doxxing a crime punishable by up to seven years in jail. 20: Getting your brain cryogenically frozen after your death is now free. 21: Cube Flipper: Hypercomputation without bothering the cactus people. The visual system must solve difficult math problems when translating the 2D visual field into a 3D world. Can we harness this innate mathematical ability to do arbitrary work? Cognitive scientist Mark Changizi developed a series of visual circuits (eg XOR gates) based on Necker cubes, probably easier seen than described: After surveying the field, Cube Flipper proposes a more advanced visual computer based on taking DMT and viewing certain types of tiles with slight deviations: …and makes the extreme claim that something like this might demonstrate hypercomputation, ie the visual system has semi-magic computational properties beyond those permitted by normal physical laws. I am skeptical but appreciate the survey of visual computing (as well as the callback to one of my older posts). 22: Material implication in Mormonism: In the book Doctrines and Covenants, Joseph Smith reports that God told him that if he lived to be 85, he would see the Second Coming (which would place it in 1890 - 1891). Mormon apologists note that Joseph Smith did not live to be 85, so no conclusion can be drawn. 23: More old-timey psychiatric ads (this one is from 1952, source: @justin_garson): This was before they invented what we would call antidepressants today; Dexedrine is an amphetamine related to Adderall. 24: Congratulations to Open Philanthropy, the biggest effective altruist foundation… …whose grantee David Baker recently won a Nobel Prize for his research on synthetic proteins. Potential applications include new drugs, vaccines, and materials. 25: Rich Kid Memes And The Online Culture Of The One Percent. Rich people who want to signal group membership to other rich people online can’t boast about how rich they are; that would be gauche. Instead, they’ve settled on the solution of making fun of rich people in hyperspecific language that proves familiarity with the culture. 26: Tap Water Sommelier: Vladimir Putin has two sons, ages 5 and 9. They are kept in luxurious but total isolation from the outside world and raised by flunkies who are too scared to punish/restrain them in any way. Also some discussion of an unexpected historical analogue. 27: Experiment from Colombia: replacing experienced teachers with less-experience but higher-scoring-on-tests teachers significantly decreased student performance. Got to admit I was expecting the opposite of this, I’d seen US data saying that experience didn’t matter and teacher intelligence did. Looking over this more, I find lots of studies on both sides and will go back to agnosticism on this question until someone I trust investigates further. 28: Large scale-formal Intellectual Turing Test finds that people can imitate partisans effectively; ie nobody on either side can tell the difference between a Democrat arguing for Democrat values vs. a Republican-pretending-to-be-a-Democrat arguing for Democrat values (and vice versa). This study used a 100 word essay on why you supported your party (you can see if you can do better here), but past attempts with different structures (religion, vegetarianism, polyamory) have shown broadly the same results. The researchers try to put this in the context of various studies showing that people do misunderstand their opponents (eg think they’re more extreme, underestimate the level of common ground), but it seems like intellectual Turing Tests aren’t a good way to measure or tease out this misunderstanding. 29: Congratulations to Substacker WoolyAI for doing the impossible and providing a genuinely novel and interesting (to me) take on pickup artistry: 30: Did you know: if you Google “cool websites”, our subreddit (r/slatestarcodex) is the first result. 31: Moshe Koppel, who works at the intersection of computer science and Talmud, is writing a series of posts (presumably) based off of my Every Bay Area House Party, titled Jerusalem Area House Party (it’s multiple part, you have to go to the main Substack page to find the others). I won’t necessarily link everyone who riffs off one of my posts - but honestly I probably will if you also have a Wikipedia page that describes you as working on computational Talmudology. 32: David Roman says it’s a myth that Arabic scholars rescued and preserved the works of the great classical authors. 33: Medications often decrease “secondary endpoints” (eg stroke, heart attack), but the holy grail of pharma studies is proving that a certain drug decreases all-cause mortality. This is much harder (not all heart attacks kill people, and people die from lots of other things), but is the strongest possible endorsement for the drug (without it, you might worry that it only prevented non-fatal heart attacks, or that it killed as many people through side effects as it saves through heart attack prevention). Even great medications that we’re confident in can’t always clear this bar. But a new JAMA article adds another member to this select club: Adderall decreases all-cause mortality in ADHD, probably because it prevents drug addiction, car accidents, and impulsive actions. 34: Before the Gulf War got in the way, Saddam Hussein was building some crazy mosques: 35: Italy bans surrogacy - quite strictly, too, Italians aren’t even allowed to go abroad and do it. I am so sorry for all the Italians who will never get to be mothers and fathers because their government hates progress. You might hope that, whatever the other disadvantages of anti-immigrant parties, at least they’re incentivized to let natives have children, but looks like they can’t even get that one right. Starting to wonder whether the trains even run on time. 36: Elsewhere in “Italy sucks” news - did you know Italy’s tax code effectively bans startups? Companies are taxed before making any money, based on how many assets they have. If they have lots of assets but aren’t making money (eg because they’re still doing research / in stealth) then tax officials get confused and hostile and run increasingly punitive audits. Related: size of the European tech sector. It’s the red line on this chart; if you can’t see a red line at your screen resolution, then you’ve learned something important about the the EU tech sector. 37: Seen on @cremieuxrecuel’s twitter (preliminary, needs replication): Jews may have gone from 65-29 Democrat/Republican in 2020 to 58-40 this election. 38: Extelligence has a post responding to my critique of the cultural Christianity argument (among, uh, many other things), but I don’t really think it connects. I’m not telling atheists they can’t go to church/synagogue if it makes them feel happy and fulfilled - I’ve done this myself sometimes. My post was meant to argue against the claim that, for pragmatic reasons, atheists should support the Christianization of society as a defense against Islam or postmodernism or some other philosophical enemy. 39: Related: Extelligence is finally going for their Trust Assembly project/idea/startup for online consensus-based truth-seeking (I think something like a cross between Community Notes and Wikipedia, but as a browser extension, and for everything). He’s looking for potential developers/testers/users. 40: Jiankui He is the Chinese geneticist who made history with the first germline gene editing in humans (resulting in three babies supposedly immune to AIDS, although nobody has tested this). China sentenced him to three years in prison for unauthorized experimentation, but now he’s out of jail, has an English-language Twitter account, has a new lab, wants to work on Alzheimers, and seems pretty based (although not infinitely based): 41: Anthropic has a new version of their AI Claude which can use your computer. You give it permission, put it on a virtual desktop, and ask it to do things for you (eg “please find and download a picture of a cat” or “please research these ten things and put them in a text file”.) It moves your cursor, browses the Internet, and creates and saves files. People keep saying they’ll care about AI “when it operates autonomously” or “when it becomes an agent”. But this is a trivial barrier, and one which Computer Use Claude has arguably already passed. So far this feature is limited to developers (though anyone with computer knowledge can sign up for it) but I expect it to be the near future of consumer AI, to get better quickly, and to shade gradually into the “autonomous” “agentic” AI that you all think will require a paradigm shift. 42: Claim (from the IDF): Hamas faked polls showing that most Palestinians supported the October 7 attack; the real numbers are 31% in favor, 64% against. 43: Otto von Bismarck wanted to trick France into declaring war on Germany. In order to provoke the French, he sent the Ems Dispatch, a statement describing recent diplomatic events in a way that sounded maximally offensive. The French were so offended that “crowds” in Paris demanded war, and the Franco-Prussian War was declared soon afterwards. The part of this that I find most interesting is the text of the dispatch itself, which read: After the news of the renunciation of the Prince von Hohenzollern had been communicated to the Imperial French government by the Royal Spanish government, the French Ambassador in Ems made a further demand on His Majesty the King that he should authorize him to telegraph to Paris that His Majesty the King undertook for all time never again to give his assent should the Hohenzollerns once more take up their candidature. His Majesty the King thereupon refused to receive the Ambassador again and had the latter informed by the Adjutant of the day that His Majesty had no further communication to make to the Ambassador. I’m fascinated by the idea that only 150 years ago, it was obvious that if someone sent you this statement, you had to declare war or abandon all honor. If I read it carefully, I can sort of parse out that it sounds like the Prussians are unhappy, but that’s the most emotion I gather from it. Anyway, the Franco-Prussian War led to World War I which led to World War II - so if you don’t like 50 million people dying and the total devastation of Europe, blame this statement about ambassadors. 44: The first use of artificial insemination in humans: The first recorded case of artificial insemination by donor didn’t occur until 1884, when Dr. William Pancoast decided to treat a couple’s infertility by secretly inseminating the woman with sperm obtained from a medical student. The insemination happened while the patient was under anesthesia and Dr. Pancoast did not tell her what had occurred. She gave birth to a baby boy nine months later, but it was several years before the doctor finally confessed to her husband what he had done. Neither man ever informed the mother. It was 25 years later the result of this case was published. Dr. Pancoast was roundly condemned for his actions, but it did open the door for consensual sperm donor insemination. 45: ClearerThinking administers several personality tests to the same people to learn more about their comparative accuracy. I am most interested in their finding that tests with “factors” (eg the Big Five, where you rate people on a numeric scale) are inherently more accurate than those with “types” (eg Myers-Briggs, where you assign someone a specific category) and that, adjusting for this, Big Five is no more predictive than the Enneagram: 46: In 2022, I wrote Whither Tartaria, where I asked why ornate classical styles switched to more austere modernist styles around 1900 - 1950 in a variety of different arts (painting, architecture, literature, poetry, etc). I proposed seven theories, but was unsure which if any were true. Since then, Samuel Hughes of Works In Progress has been investigating. In May, he wrote a well-researched article showing that it wasn’t just increasing cost, because ornate classical architecture now costs less than ever. Now in a new article he demolishes a different theory - it’s not just decreasing cost (and subsequent lack of ability to signal wealth) - because costs didn’t decrease in several other arts, and the change was led by artists with rich people as reluctant followers. He concludes: Modernism may well be a status game of some kind; it may well signal taste more than it signals wealth; and this latter feature may be one of the things that distinguishes it from older artistic styles. But the mechanism by which this change came about must be different to the one Alexander describes. 47: Sort of kind of related - When Hamilton Lost Its Snob Appeal. The musical Hamilton was briefly an artistic/cultural phenomenon, but tastemakers eventually switched to making fun of it. Why? Rob Henderson says it happened after ticket prices came down and the common people could enjoy it. I disagree: everyone I knew who was into Hamilton got into it from the free online soundtrack long before they’d seen the show; I think this is more likely the usual fad cycle where anybody who’s too into yesterday’s fad is behind the curve and therefore uncool. 48: Related: Why are people such jerks to public intellectuals? And more. I agree this is a great mystery. 49: Some prominent Substack psychiatrists doing a video Q&A, submit your questions here. 50: Naomi Kanakia: The Literacy Delusion had a number of explanations for why reading books seemed to be so much worse for human beings (in terms of emotional wellness and productivity) than other forms of narrative entertainment, but its main theory was the integration hypothesis. That the stream of words in a book trained the human brain into a habit of self-consciousness, that reading books forced human beings to think of themselves as a stream of text, processed through time, making a coherent argument of some sort. And that this overall flattening effect forced readers to ignore aspects of their personality or their situation that were not otherwise in line with the overarching story they'd created about themselves. Basically, reading books causes repression and neurosis. The Literacy Delusion argued that, yes, human beings are storytelling machines, but that a stream of written text is a particular kind of story—a story that is particularly flat, particularly devoid of conflicting or harmonizing information—and that this flatness creates a peculiar effect on the human brain. 51: Last month, I linked Sasha Gusev’s No, Intelligence Is Not Like Height and asked people who disagreed to share their arguments; they sure did. First, several people pointed me to a new preprint, Family-GWAS Reveals Effects Of Environment And Mating On Genetic Associations, which finds that one of the main papers Gusev cited to make his case, Howe 2022, made a mistake - imputing sibling genotypes using a process designed for non-sibling genotypes - and that once that mistake is corrected, the finding disappears and intelligence and height appear similar. Second, Joseph Bronski has a more specific post where he responds to Gusev’s points one by one. He accuses Gusev of “[making] up his own chart to remove the error bars [from the originals], to obscure the fact that the study found no evidence for this in IQ”, and says that the cases where he didn’t do that are just “population stratification and range restriction”. Third, Noah Carl at Aporia, instead of writing a direct response like Bronski, argues that the usual method of attacking twin studies is obsolete; not only have the most-debated assumptions behind twin studies been thoroughly validated, but there are now other lines of evidence besides twin studies which confirm high IQ heritability. Fourth, Leonardo Parro (not framed as a response to Gusev) goes into more depth about one of those ways, a “pedigree-based analysis” demonstrating heritability of 54 - 69%, ie no “missing heritability” compared to twin studies. He summarizes this as the effect of “rare variants” compared to the usual SNPs - ie if you only look at the most common genes that are easiest to find, you get “missing heritability” compared to twin studies, but if you widen your search to rare genes that are hard to find, you don’t. 52: Extremely related: Heliospect is a startup promising polygenic selection for IQ and other traits; they were trying to stay in stealth mode but The Guardian spied on them and nonconsensually revealed their existence. The discussion on the r/ssc subreddit centered on their claim that (given enough embryos to choose from) they could increase a baby’s expected IQ by 6 points (I’ve also heard 7.5). Sasha Gusev had previously argued that current technology maxed out at 3.5 and future technology would max out at 6, so a claim of 6 - 7.5 is pretty extreme; Gwern, who wrote the pioneering analysis of this technology, was also skeptical. But Heliospect says they’ve got better predictors than academia that use the rare variants everyone else misses; after talking to the company, Gwern retracted his objections and says he finds their claim “pretty plausible”. Local ACX commenter geneticist Gene Smith also redid some calculations, changed his mind, and says “probably pretty realistic”. I find this interesting not just because of the polygenic selection angle, but because if Heliospect is right then their predictor is able to predict more genetic IQ than the “missing heritability” people believe exists, and it should be able to put this argument to bed once and for all. 53: This month in censorship: X/Twitter banned journalist Ken Klippenstein for sharing the Trump campaign’s dossier on JD Vance. Twitter’s side of the story is that the dossier was probably originally stolen by Iranian agents and they don’t want to support that kind of thing by letting people signal-boost the illicitly obtained goods; you can read Klippenstein’s side here. He appears to be unbanned now.
Inline links: more popular, https://substackcdn.com/image/fetch/$s_!mYsG!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6c51cc5f-e957-4d29-b112-9defd81316e0_1218x557.png, Nonlinear effects from wildfire smoke, probably legal, but unlikely to keep working long enough to be worth it, Pervasive findings of directional selection realize the promise of ancient DNA to elucidate human adaptation, https://substackcdn.com/image/fetch/$s_!e2ut!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F340e95ae-f688-402c-813a-07663647ebe5_661x642.png, see here, got agriculture earlier, some evidence suggests this is true of schizophrenia, Marxism, John Rawls, nor very good, /r/BadMTGCombos, can be used, Twin Prime Conjecture, the feeder rodent industry and efforts to make it more humane, decided to have a regiment of giants in his army, Edison’s Conquest Of Mars, click for link to video, Gwern on the chip embargo, Cosm, The Ottoman Origins Of Modernity, sent them the wrong forms and gave them false advice about the process, added a state referendum to the ballot containing only the text “Jill Stein”., Nostalgebraist, Podcast Hosts Discover They’re AI, Not Human, And Spiral Into Existential Meltdown, The Case For Chain Of Thought Unfaithfulness Is Overstated, isn’t always accurate, considers making doxxing a crime, is now free, Hypercomputation without bothering the cactus people, developed, https://substackcdn.com/image/fetch/$s_!FcOr!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fbee8dfa6-4d7b-41c9-972a-5fbaa792b9ec_3566x2888.png, https://substackcdn.com/image/fetch/$s_!x34r!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F413f5fc2-2391-4734-904f-8401dd968488_1024x1024.png, one of my older posts, reports, note, @justin_garson, https://substackcdn.com/image/fetch/$s_!EF4p!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F4b7af4c0-ac0f-4c9a-88bc-6c00e57ca977_479x639.jpeg, https://x.com/albrgr/status/1844527064956928009, won a Nobel Prize, Rich Kid Memes And The Online Culture Of The One Percent, Tap Water Sommelier, Experiment from Colombia, experience didn’t matter, teacher intelligence did, Large scale-formal Intellectual Turing Test, you can see if you can do better here, religion, vegetarianism, polyamory, WoolyAI, https://substackcdn.com/image/fetch/$s_!4FRI!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F558ad67a-bfca-469e-abd8-2edc7c8b888a_590x916.png, if you Google “cool websites”, r/slatestarcodex, who works at the intersection of computer science and Talmud, Jerusalem Area House Party, says it’s a myth, Adderall decreases all-cause mortality in ADHD, some crazy mosques, https://substackcdn.com/image/fetch/$s_!2W0c!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc2be0549-aa2b-411d-b6a6-da50c34f7f86_1000x572.jpeg, Italy bans surrogacy, Italy’s tax code effectively bans startups?, Related, https://substackcdn.com/image/fetch/$s_!T3h-!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F08b011b3-ef20-42e5-91b2-33946b8ca7b6_1761x1355.jpeg, @cremieuxrecuel, responding to my critique of the cultural Christianity argument, My post, is finally going for, Trust Assembly, has an English-language Twitter account, has a new lab, wants to work on Alzheimers, and seems pretty based, not infinitely based, https://substackcdn.com/image/fetch/$s_!fY_K!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6b3b61c8-6c48-4eb7-9608-426b738ab9c8_592x111.png, which can use your computer, Claim, Ems Dispatch, The first use of artificial insemination in humans, administers several personality tests to the same people, https://substackcdn.com/image/fetch/$s_!epEc!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F47c474c6-d68a-41e4-954e-d24cd00ec040_740x388.webp, Whither Tartaria, a well-researched article showing, in a new article he demolishes a different theory, When Hamilton Lost Its Snob Appeal, Why are people such jerks to public intellectuals?, more, Some prominent Substack psychiatrists doing a video Q&A, submit your questions here, Naomi Kanakia, No, Intelligence Is Not Like Height, Family-GWAS Reveals Effects Of Environment And Mating On Genetic Associations, Howe 2022, a more specific post where he responds to Gusev’s points one by one, argues that the usual method of attacking twin studies is obsolete, goes into more depth about one of those ways, The Guardian spied on them and nonconsensually revealed their existence, discussion, previously argued, the pioneering analysis of this technology, Gwern retracted his objections, says, polygenic selection, banned journalist Ken Klippenstein, you can read Klippenstein’s side here., appears to be unbanned now
Links For December 2024
December 17, 2024 · Original source
3: The Long March Through The Institutions, Debunked. I’m not usually a fan of accusations that cultural Marxism is a “conspiracy theory” - some leading leftists said they should take over institutions, leftists did take over institutions, you don’t have to be a Nazi to wonder if these two things are connected. But Arturo Dzvyenka argues they aren’t - leftists had started doing this before Marcuse officially asked them to, and besides, the institution-taker-overs were mostly liberals and not the sort of Marxists who might listen to Marcuse. Dzvyenka says the real story is one of class: rising geographic mobility and industrial sophistication created a new class (defined as a group whose jobs give them a similar social position) of geographically mobile knowledge workers - the professional managerial class - whose class characteristics predisposed them to both liberalism and institutional control.
Inline links: The Long March Through The Institutions, Debunked
6: From r/evilbuildings: the Lookout Building in Cagnes-sur-Mer, France: 7: Study: women who are more prone to intrasexual competition are more likely to advise other women to cut their hair short, especially if those women are of similar attractiveness to themselves. This study is too cute to be true and I expect it not to replicate; I link it for amusement value only - but, uh, still be careful about whose advice you take.
Inline links: r/evilbuildings, https://substackcdn.com/image/fetch/$s_!FRPr!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6a2cb488-153b-48c5-8311-6d09b0ccc8ac_716x380.webp, are more likely to advise other women to cut their hair short
7: Study: women who are more prone to intrasexual competition are more likely to advise other women to cut their hair short, especially if those women are of similar attractiveness to themselves. This study is too cute to be true and I expect it not to replicate; I link it for amusement value only - but, uh, still be careful about whose advice you take.
Inline links: are more likely to advise other women to cut their hair short
Highlights From The Comments On Lynn And IQ
January 16, 2025 · Original source
The concept of IQ is fine, but you are personally miscalibrated about what low IQ means because the only very-low-IQ people in your training set had developmental disorders. I think these probably explain 5%, 5%, 40%, and 50% of the effect respectively, and I should have been more careful to emphasize (3), which I think explains 40% of the effect. The particular way I would flesh out 3 would be something like - if you’re illiterate and (somewhat) innumerate, you probably don’t have enough practice with symbols and complex mental operations to do even a “culture fair” IQ test like Raven’s Matrices. This doesn’t necessarily mean that your IQ is higher than the Raven’s Matrices says - the person who underperforms on Ravens for this reason will also underperform on a wide variety of other abstract/intellectual/symbolic tasks, and this is part of what IQ means. But it means that Raven’s IQ won’t predict concrete tasks as well as you would expect. Fujimura writes: The other major factor that I think should be reassuring about Lynn's estimates (and other cross-national IQ estimates) is that when you look at "non-problematic" sources that seem like proxies for IQ (e.g. World Bank data, educational performance), you see the same pattern as Lynn and others' IQ data. It's easy for people to quibble about each and every IQ measure (and so people do), but that we see the same pattern of results using otherwise uncontroversial data sources should be reassuring. Yeah, many people tried to gotcha me with claims that Lynn did this or that or the other thing wrong. Lynn tries to defend his methodology here, but I think (and tried to argue in the post) that at this point, that debate is of historical interest only - there’s too much confirmation now. One commenter brings up World Bank Harmonized Learning Outcomes as an example. Another points me to this preprint, which tries to update Lynn’s numbers using all modern standardized testing data and correlations with social development index and GDP. They find mostly similar numbers to Lynn: Malawi goes from 60 → 66, and new last place goes to Sao Tome & Principe at 62. This is by people affiliated with Lynn and scientific racism, and you can choose not to trust their judgment either, but I think at least the SDI correlations are an extremely simple regression that it would be hard to fake. This kind of stuff is why I think simple failures of data collection and analysis are unlikely to explain more than 5% of the gap with our common sense. There’s definitely something weird about these numbers, but it’s got to be more complicated than just “racist people screwed up the test”. But continuing on this subject - if IQ has two components, why would World Bank education data and GDP track the abstract/symbolic component of IQ, rather than the practical component of IQ? Or, rather, it’s obvious why this would happen in education. But why would GDP track abstract/symbolic rather than practical? One possible answer is that the causal pathway is high GDP → lots of education → lots of practice with abstract reasoning → high abstract/symbolic IQ. I don’t think this can be the whole story, because some countries that “cheated” to get high GDP (eg oil sheikhdoms) can’t translate it into IQ points at the same rate as everyone else. I’m stuck with the boring basic explanation that maybe you need to do a lot of abstract reasoning tasks to get high GDP. Harzerkatze writes: [Your claim that blacks everywhere should have the same genes] is far from true. While "white" may be a descriptor for a group of somewhat similar genetic backgrounds, having common ancestors not too far in the past, "black" is different, grouping populations of similar skin color, but common ancestors diverging way further back in time. Yeah, I didn’t want to get into all of this on the post, but I agree the way I phrased it was misleading. Lynn and other national IQ estimates find very low IQs for all sub-Saharan African countries - I mentioned Malawi at 60 in the post, but Nigeria, on the other side of Africa, is 69. Whatever is going on there is a pan-African problem, such that I don’t think differences between African groups are very relevant. US blacks are mostly descended from people in west Africa, eg Nigeria. Some people also brought up that US blacks have significant white admixture. This is true but it’s still not enough to be relevant to this discussion. If we assumed everything was genetic and US blacks with their ~20% white admixture had genetic IQ of 85, we would still expect African blacks to have IQ in the low 80s. However you parse it, there’s got to be some kind of health/education/environment effect going on there. Africa is extremely genetically diverse, but I think most of the countries measured in the paper, including Malawi, are some variety of Niger-Congo speakers, who I don’t think are that much more diverse than white people or anyone else. The really interesting African ethnicities, like the Khoi-San, don’t show up as much at a national level. Andrew Clough writes: Speaking of charity and IQ, the lowest of low hanging fruit is putting iodine in salt. You can donate to the Global Iodine Network like I do for the long term benefit of poorer countries without worrying you're just delaying Malthus's reemergence. Givewell calls Salt Iodization "slightly below the range of cost-effectiveness of the opportunities that we expect to direct marginal donations to" which in the grand scheme of things is quite good. Yeah, salt iodization is great. I had always heard of iodine related problems being concentrated in central Asia and especially Afghanistan, but looking at the map… (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).,
Inline links: writes, here, Harmonized Learning Outcomes, this preprint, writes, writes, https://substackcdn.com/image/fetch/$s_!wY7n!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff8e5ec21-6788-4dc5-96f1-9b1929f221bb_800x354.png, source, donate to Iodine Global Network here., writes, writes, writes, https://www.hrw.org/reports/2001/ustat/ustat0301-01.htm, writes, https://substack.com/home/post/p-154757665, here
(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).,
Inline links: source, donate to Iodine Global Network here., writes, writes, writes, https://www.hrw.org/reports/2001/ustat/ustat0301-01.htm, writes, https://substack.com/home/post/p-154757665, here
Second, he linked a post of his where he found that, although IQ accurately predicts GDP at each time point, changes in IQ don’t predict changes in GDP, suggesting something weird is happening. I think the weird thing is the improvement in the abstract/symbolic/”test-taking” aspect of IQ separate from the practical aspect, mentioned above.
Inline links: linked a post of his
Tegmark's Mathematical Universe Defeats Most Proofs Of God's Existence
February 19, 2025 · Original source
It feels like 2010 again - the bloggers are debating the proofs for the existence of God. I found these much less interesting after learning about Max Tegmark’s mathematical universe hypothesis, and this doesn’t seem to have reached the Substack debate yet, so I’ll put it out there.
Inline links: debating the proofs for the existence of God, mathematical universe hypothesis
Some mathematical objects contain conscious observers. Conway’s Life might be like this: it’s Turing complete, so if a computer can be conscious then you can get consciousness in Life. If you built a supercomputer and had it run the version of Life with the conscious being, then you would be “simulating” the being, and bringing it into existence. There would be something it was like to be that being; it would have thoughts and experiences and so on. A simulation of the Game of Life within the Game of Life (video source) Tegmark argues this is also true if you don’t build the supercomputer and run it. The fact that the version of Life with the conscious being exists in possibility-space is enough for the being to in fact be experiencing it.
Inline links: https://substackcdn.com/image/fetch/$s_!FInx!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa750b21a-5dd2-41e9-9188-95493faccd22_696x389.png, video source
A simulation of the Game of Life within the Game of Life (video source) Tegmark argues this is also true if you don’t build the supercomputer and run it. The fact that the version of Life with the conscious being exists in possibility-space is enough for the being to in fact be experiencing it.
Inline links: video source
Links For February 2025
February 27, 2025 · Original source
4: Jack Galler, who generated many of the images I used in the AI Art Turing Test, has a blog post on his experience: The Turing Test For Art: How I Helped AI Fool The Rationalists.
Inline links: The Turing Test For Art: How I Helped AI Fool The Rationalists
7: Oliver D. Smith is an ex-Nazi turned social justice warrior. His MO was (is?) creating Wikipedia and RationalWiki articles on various IQ researchers/bloggers that portray them in the worst possible light (both sites tried to ban him, but he was able to come back with various sock puppet accounts). More recently, he’s become . . .famous? . . . for a very impressive litigation campaign to prevent anyone from naming him or mentioning any of his activities; this sort of thing usually doesn’t work, but he was able to at least City Journal to take down their article about him. Most recently, an extremely anonymous person on a blog with no other articles has finally published the whole story - this site was down the past few times I tried to link it, apparently because Smith launched “a barrage of spurious DMCA claims” against Substack, but seems to be at least temporarily back now. Read it while you still can!
Inline links: take down their article about him, published the whole story
8: Twitter user @fae_dreams asked the new generation of AI reasoning models to replicate Donald Trump’s challenge from my fictional 2024 debate: describe his policy in heroic hexameter while avoiding letters A, E, and I. Here’s my favorite: You can see more examples and comparisons of different models here (X).
Inline links: my fictional 2024 debate, https://substackcdn.com/image/fetch/$s_!duHX!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F66648c84-13d2-4b91-976d-d9e720878dca_1370x628.png, here (X)
Everything-Except-Book Review Contest 2025
February 28, 2025 · Original source
Otherwise, the usual rules apply. There’s no official word count requirement, but previous finalists and winners were often between 2,000 and 10,000 words. There’s no official recommended style, but check the style of last year’s finalists and winners or my ACX book reviews (1, 2, 3) if you need inspiration. Please limit yourself to one entry per person or team.
Inline links: last year’s finalists and winners, 1, 2, 3
If your review includes footnotes, please make them endnotes in plain text [1], not in Google Docs’ native footnote functionality. The native footnotes don’t automatically transfer to Substack, and transferring them manually is a pain.
ACX Grants 1-3 Year Updates
June 18, 2025 · Original source
Manifold is the largest social prediction market platform with over 150k user‑created markets and more than 30 million trades. Our markets have been featured here on ACX, in the NYT, Nate Silver’s latest book, and countless Substacks, podcasts, and tweets. Forecasters, journalists, researchers, and casual users alike use Manifold to get accurate real-time odds on everything from elections to AI timelines to personal drama.
Inline links: Manifold
Since 2022, Alice has undertaken qualitative research in nine world regions: Mexico, Costa Rica, Brazil, Morocco, Italy, Spain, Britain, US, Poland, Turkey, India, Uzbekistan, South Korea and Hong Kong. Through this globally comparative analysis, she analyses the drivers and obstacles to gender equality. Gender interventions will be more impactful if they target locally binding constraints - in the Middle East, North Africa and South Asia, this is "the honour-income trade-off" (whereby male honour depends on female seclusion, and women tend to remain at home. Meanwhile, Latin America and the Caribbean face a different obstacle: pervasive violence elevates femicides. Over the past few years, she's held visiting appointments at Stanford, Chicago, and Yale, while providing policy advice to the World Bank, and sharing insights with a public audience via Substack (www.ggd.world). In April 2025, she gave a TedTalk on romantic love as an under-rated driver of gender equality.
Codebuff, an AI coding startup I probably can’t take full credit for all of this just from giving them $20K in seed funding, but I continue to appreciate everything they do for this community and the world. 35: Further S’s Political Career This person didn’t win their election, but has since pivoted to AI safety and works in a well-regarded AI policy think tank. 36: Seeds Of Science, A Journal Of Non-Traditional Research No update received, but this was a public journal and it is easy to follow their work, see their website and Substack. They published two dozen articles of widely varying quality through 2023 and 2024, then closed in 2025. A remnant of the original vision survives as a science blogging aggregator. This was about my median expectation for this grant, but it was very inexpensive and I decided to take a chance on it anyway. 37: Good Science Project, Working To Improve Federal Science Funding No update received, but they have a public Substack discussing their progress. Their proposals for NIH reform have influenced Congress and made government agencies pay more attention to scientific integrity. 38: Advising Developing Countries On How To Grow Their Economies With our initial ACX grant, we piloted the Growth Teams model in Rwanda, helping the government jumpstart the export-oriented call center (BPO) industry. Since 2022, that effort has contributed to the creation of 2,000 formal jobs and the emergence of some of the country’s largest private employers. We’ve since expanded to Tanzania, Malawi, and the Indian states of Goa and Meghalaya. To refocus the global development discourse on broad-based economic growth, we co-organized the Growth Summit with the Center for Global Development and the Charter Cities Institute, and have published articles in leading outlets including Stanford Social Innovation Review, ProMarket, and the Global Prosperity Institute. Our work has attracted support from Open Philanthropy, Schmidt Futures, and Mulago Foundation, and our advisors now include economists Lant Pritchett, Stefan Dercon, and Kunal Sen. 39: Help Luca De Leo Get Started In AI Safety Research No update received, but Luca now runs the AI safety group at the University of Buenos Aires, Argentina. 40: Typist For Saharon Shelah This was another ACXG+ Grant, funded by an anonymous outside funder and not listed in the original announcement. Saharon is a prolific and influential Israeli mathematician, but many of his discoveries are hand-written in an unpublishable format. This grant funded a typist to help make his results suitable for publication. According to this page, they have made over fifty new papers and preprints available. Second Cohort: One Year Updates 41: Lead-Acid Battery Recycling In Nigeria The Nigeria field research was a major success. We spent most of September doing field research in multiple major cities in Nigeria, and got a good sense of the used lead-acid battery supply chain. This field research served as the foundation for expanding our project, and has been very impactful in shaping our ongoing research. We published our findings from Nigeria, which were shared with Nigerian government regulators and global NGOs working on lead poisoning. The grant also gave us the on-the-ground experience we needed to both fully understand and credibly engage with groups, both in Nigeria and globally, on the ULAB issue. In the meantime, beyond continued research, we’ve also launched a dashboard (trade.leadbatteries.org) for analyzing global lead trade data. Right now, we’re: Launching two studies (one RCT, one environmental analysis) in Nigeria in collaboration with local universities to develop a more rigorous understanding of lead pollution due to low-standard ULAB recycling in Nigeria Collaborating with a non-profit incubator to launch an NGO focused on demand-side solutions Beginning a partnership with a West African environmental regulator to scale cheap air monitoring technology to quickly identify and reduce lead pollution from low-standard smelting If any of this sounds interesting to you, please sign up for our Substack (leadbatteries.substack.com) or send us an email at hugosmith@uchicago.edu! 42: Compensation For Kidney Donors The End Kidney Deaths Act (H.R. 2687 / EKDA) is a groundbreaking ten-year pilot program designed to save lives and reduce healthcare costs. It provides a refundable tax credit of $10,000 per year for five years, a total of $50,000, to living kidney donors who donate to a stranger, helping those who’ve waited the longest on the transplant list. Between 2010 and 2021, 100,000 Americans died while qualified and waiting for a kidney. The EKDA aims to change that trajectory. Within ten years of its passage, up to 100,000 Americans could receive a life-saving living donor kidney which typically lasts twice as long as a deceased donor kidney. This would not only save lives but also save taxpayers up to $37 billion. The legislation has been reintroduced in the House, and we have a committed Republican Senate lead. Now, we need a Democratic Senator to co-lead and help move this bipartisan effort forward. Time is short, and we are racing to pass the bill this Congressional session. 36 organizations already support the EKDA. Join the movement and help end preventable kidney deaths. Visit EndKidneyDeaths.org to help us get to the finish line. Elaine and her org have been working extremely hard on this; you can read a Vox article on their campaign here. If you want to sign up for her email list and get updates any time there is a representative you can contact or meeting you can join in, go here. 43: Genetic Hack To Prevent Suffering In the estimate of multiple team members, the ACX grant was “worth it” - it likely had a counterfactual net positive impact, even though we had to pivot from our initial fast-track plans for developing the precision anti-suffering therapy. We identify three primary streams of value: a) reducing uncertainty in the emerging field through early exploratory research, helping with the identification of dead ends and promising R&D trajectories; b) a wide range of downstream effects (beyond the “raising awareness” cliché), including talent mobilization and rekindled interest in suffering abolitionism as a distinct cause area; and c) certain developments that cannot yet be publicly disclosed. In December 2024, Marcin Kowrygo (Acting CEO & volunteering contributor), David Pearce (Director of Bioethics), Aatu Koskensilta (President), and a few other team members decided to leave The Far Out Initiative. They look forward to collaborating and applying their experience to advance the suffering abolitionist lineage in the spirit of open science, public good, and thoughtfully decentralized governance. Feel free to reach out to us at suffab at protonmail dot com to discuss collaboration opportunities! I wrote a post profiling the Far Out Initiative here. Unfortunately there were some internal disagreements, and the people ACX Grants was closest to left the organization. I plan to continue to monitor whatever they do next. 44: Advocate For Pandemic Response Team At FDA This team prefers has asked me not to discuss their progress publicly, but you can probably guess what their lives are like right now, and your guess would be correct. 45: Anti-Mosquito Drones We developed a cheap sonar that is able to detect, track and classify the ultrasonic echoes of mosquito wings at more than three meters. I believe it’s a world first! We also have control algorithms that take the sonar data and output control commands that both ram into mosquitoes and avoid the walls of a simulated environment. Our current work is on integrating both components on a real drone, and we expect to be able to kill mosquitoes by June. We’ve also made an internal impact study (napkin-sized) that shows we’ll be more cost-effective than ITNs in urban to periurban environments. So, we’re super excited with what comes next and can’t wait to share the videos of our first interceptions! More information [in the video below] and on our website, https://tornyol.com 46: Tarbell Fellowship For AI Journalism No update received, but they have a public website. I can’t find the Voices program in particular, but the overall fellowship completed their first class of seven fellows and is working on their second. 47: Germicidal UV Lamp Study The research has successfully demonstrated the ability of off the shelf ozone scrubbers to mitigate the ozone production of far-UVC lamps, is now available as a preprint (https://chemrxiv.org/engage/chemrxiv/article-details/67e4cde76dde43c9084d88b7). The paper has been submitted for publication and is currently undergoing peer review. Any ideas you have for potential funders we can approach to help execute our six-year plan to accelerate far-UVC would be appreciated https://blueprintbiosecurity.org/introducing-project-air/ 48: Technological Solutions To Animal Welfare Challenges Directly because of Innovate Animal Ag's work, the first U.S. egg producer publicly announced in the New York Times their adoption of in-ovo sexing technology, eliminating the need to cull day-old male chicks. The initial in-ovo sexing machine began operating in the U.S. at the end of 2024, with the first eggs from these hens expected on shelves in mid-2025. External evaluations estimate our work accelerated U.S. adoption of this technology by over seven years, meaning that once fully implemented, more than 2 billion chicks will have been spared. In addition to continuing to support the rollout of in-ovo sexing in the US and globally, we're now exploring other technologies and paths to impact. Current promising projects include developing humane slaughter methods for fish and advocating for USDA approval of a poultry vaccine against bird flu. They add: If you ever meet folks that are interested animal welfare and are partial to more technocratic and practical solutions, please continue to pass them our way, or connect them directly to me. 49: Assurance Contract Website www.Spartacus.app is an ACX grantee that created a platform to help solve coordination and collective action problems. It enables the creation of campaigns that build critical mass through conditional commitments, which only activate when a sufficient number of people join, converting risk and uncertainty into a higher probability of successful outcomes. They are currently facilitating several projects that leverage conditional commitments, including a dominant assurance contract interface for fashion pop-ups, accelerating a community business association's membership drive, and helping an AI safety organization organize petitions and events, among others. They have pivoted from an emphasis on high-stakes coordination problems requiring anonymity (because they occur too infrequently) to a broader range of more common use cases and have successfully run small-scale campaigns, but are still working toward product-market fit. Despite resource constraints and split time commitments that have impeded faster progress, they remain dedicated to the project's growth and success. You can follow its progress on X or Substack, or email Jordan directly here. 50: Cause Prioritization @ Center For Exploratory Altruism Research Moderately good progress on a salt reduction policy advocacy project we funded; informal commitments have been made by the Ministry of Health, and we're awaiting the publication of a formal administrative order. The official description sounds maximally generic, but this is an EA charity with a broad mandate whose current thesis is that dietary guidelines in developing countries can have outsized effects in saving lives. They’re making some progress on a salt reduction campaign in a developing country they prefer not to name publicly. 51: Mark Webb Studying Land Reform The purpose of this project was to identify specific farmland that could be acquired and transferred to the farmers already working the land. This has been difficult to achieve. I have been able to connect with other charities and landless farmers, and was able to interview a number of people about what their situation looks like, as well as what it would look like to them personally if they owned, rather than rented, their farmland. All this was immensely helpful in pushing this long-term project forward, even if I was unable to identify a specific plot of land that could be used to try the experiment. I intend to continue this project. If you have any insights or connections, I am interested. 52: More AI Advocacy In Australia Good Ancestors is focused on AI safety policy in Australia. Middle powers might be a useful path to influence as the US and China focus on racing, rather than safety. The ACX grant helped us give testimony about AI safety to the Australian Senate alongside Google, Microsoft and Facebook (We were the only nonprofit to give oral evidence to the inquiry. We also engaged government on other AI-related issues, including cybersecurity, biosecurity, consumer law and automated decision making (https://www.goodancestors.org.au/ai-safety). We’re currently working to inform voters about where parties stand on AI safety for the election, ahead of engaging on a likely Australian AI Act in 2025 (https://www.australiansforaisafety.com.au/). This is the same Australian lobbying organization we founded in Year 1, after a change in name and leadership. I continue to be excited about AI safety in middle-tier countries for a few reasons. First, these countries have some power in international organizations to set international standards. Second, companies will usually comply with any not-excessively-burdensome regulation set by any country with a significant market. Third, AI safety is underfunded by the standard of government programs, so Australia setting up a national AI Safety Institute would significantly expand the field. It’s kind of crazy that ACX Grants tier levels of money can have significant effects at this scale, but GA continues to do a great job and we continue to be proud to support them. 53: Campus For African School Of Economics At Zanzibar Charter City The ACX grant helped launch the first research center at the African School of Economics-Zanzibar, which is a main anchor of the Fumba Town charter city project in Zanzibar. This research center is called the Africa Urban Lab (AUL), focused on rapid urbanization across Africa. The AUL launched its first Diploma program in Urban Development with 38 students in our first cohort (now graduated!), including mayors, and deputy mayor, a director of a national Ministry of urban development, and many others. We published our research framing papers for the AUL's research agenda. We raised funding to launch an Urban Expansion Program that's now selecting 15 African cities to support in implementing urban expansion planning on the urban periphery. We held two Public Talks by renowned cities scholars and practitioners. We received additional funding from Emergent Ventures and from the Templeton Foundation. And we've partnered with 8 universities across the region, and with one of these universities (Ardhi) we'll be working with them to update their urban planning and urban economics curriculum (amplifying AUL's impact beyond our own organization). A longer update from end of 2024 is here: https://www.aul.city/blog/reflecting-on-africa-urban-lab-s-inaugural-year-2024-highlights) 54: Online Training Program For Health Workers In Developing Countries To date, over 11,000 health workers in Nigeria have completed our course on basic, life-saving newborn care. ACX funding was catalytic for helping us secure government approvals and complete an evaluation of the impact of our training on health workers' clinical practices. The evaluation shows that birth attendants provide better birth care after taking the course. We fed the evaluation results into an updated model, which suggests the program is 24 times more cost-effective than direct cash transfers (a widely recognized benchmark for cost-effectiveness). The program is likely to become even more cost-effective as we scale up. https://healthlearn.org/blog/updated-impact-model 55: Smartphone Pupillometry To Diagnose Neurological Conditions We have continued to expand our work in the smartphone pupillometry space and the development of our application, PupilScreen (https://www.apertur.ai/). We have expanded our pilot/research program to include new sites across the United States (Missouri, New Jersey, Kentucky, USAC racing, PitFit driver performance training in Indiana) and the world (Nepal, Taiwan, South Africa). We continue to publish at the leading edge of the pupillometry literature as well looking at concussion (https://neuro.jmir.org/2024/1/e58398 and https://pubmed.ncbi.nlm.nih.gov/39682632/), cerebral vasospasm (https://pubmed.ncbi.nlm.nih.gov/39128501/), and stroke (https://pubmed.ncbi.nlm.nih.gov/39674431/ and https://pubmed.ncbi.nlm.nih.gov/39561861/). Currently, we are raising a $3 million seed round via a SAFE to fund the expansion of our work into the hands of healthcare workers and the general public. We will first focus on traumatic brain injury for clinical use and develop a neuro-monitoring wellness application utilizing our technology for the general public. They add: “We would welcome connections to anyone that you think might be interested in supporting our work further by investing in our $3M seed round of funding.” 56: Mike Saint-Antoine’s Biology Tutorial Videos Since getting the grant, I've continued to make Youtube tutorials as planned. One series that I'm especially proud of is about how to make a neural network in the Julia programming language completely from scratch, with no imports, up to the point of being able to solve MNIST (https://www.youtube.com/playlist?list=PLWVKUEZ25V97tNULapu07DhWv6_W4NfpE). Also, a college student in Pakistan came across my videos and invited me to give a virtual Zoom-lecture to her department, so I ended up teaching a 6-hour "Python-for-Biologists" workshop to more than a hundred college students in Pakistan over Zoom. So that was pretty awesome. Also, lately I've been teaching some in-person classes too, mostly at Fractal University in NYC, and I also recently organized a day-long, in-person Beginner Python class for people in my local area (Philly suburbs) who wanted to learn some basic programming. I'm having a lot of fun with this project, and am grateful to Scott and the grant funders for their generosity! 57: Conceptual Boundaries Workshop On AI Safety The workshop was completed successfully; you can read a writeup here. 58: Apart Research To Incubate AI Safety Scientists No update received, but they have a public website, and you can see their impact metrics here. They seem to be in urgent need of more funding. 59: Primer On How To Achieve Political Change No update received and I can’t find anything about this. 60: Research IVF Clinic Success Rates We've built a predictive model that estimates the odds of having a child at different IVF clinics across the country while controlling for factors like patient age and infertility differences that can falsely make some clinics look better than others. We found that an average patient can increase their odds of having a kid by 43% just by going to a top 10% clinic. Patients unlucky enough to go to a bottom 10% clinic will reduce their odds of having a kid by 40%. Next month, we're adding several more clinics, 2023 data, additional procedural controls, and donor/gestational carrier models, which should push our accuracy beyond state-of-the-art models in this space and better isolate clinic impact on patient outcomes. We've launched ivf.clinic, a website where patients can access personalized IVF reports and browse our clinic rankings (though we're still squashing some bugs). Currently, we're expanding our research to include comprehensive insurance coverage and pricing data across clinics nationwide. If anyone has insights on automating the collection of IVF clinic pricing information, I'd love to hear from you at scelarek@gmail.com. 61: Replicate Study On Brain Wave Synchronization For Speeding Learning We have acquired and configured the OpenBCI UltraCortex Mark IV 8-channel EEG headset and a clinical-grade Biosemi 32-channel EEG system. We’ve implemented the required components for the experimental pipeline (computing alpha from EEG, flashing bright white light, presenting stimulus images). We are currently putting them together into a single system that we’ll use to collect the data from several participants. We are aiming to gather data on several participants in late June / early July and complete the pilot of the replication in July 2025. If you’d like to be a participant in the study, [they might announce a link once they have it]. 62: Advocate Repeal Of Interstate Runaway Compact No update received and I can’t find anything about this. 63: Animal Welfare (Especially Fish) In Turkiye Future For Fish asks companies to sign up to FFF's fish welfare commitment, which requires producers to certify their facilities and enforce specific standards for stocking density and harvest. Luckyfish, İlknak, Divan (35 restaurants, 17 hotels) and NG Hotels (5 hotels) have signed and published FFF's fish welfare commitment with İlknak publishing the commitment on their website. Kılıç published its first sustainability report detailing fish welfare policies, including enforcing a maximum stocking density of 10 kg/m³ and confirmation of electrical stunning practices. Longer version with some caveats: https://manifund.org/projects/improving-fish-w From the longer document, these commitments involve things like reducing overcrowding, or stunning fish before killing them. Over 30 million fish were affected just from their single largest commitment, and they say 100 fish are helped per dollar spent. 64: More Georgism Advocacy Lars and Will used the 2021 grant to co-found ValueBase. Will remained with the company, and Lars left to do advocacy work at the Center For Land Economics. Here’s their summary of how things are going: [Our] organization transitioned leadership with Greg Miller, a former Program Analyst at the US Department of Housing and Urban Development, and Lars Doucet, author of Land is A Big Deal and Co-Founder of Valuebase, working full time and Joe Caissie stepping aside. This transition happened naturally as the next career transition for each respective person. Since then, progress has been made on pushing forward legislation. Maryland had two bills introduced to give Baltimore and counties the ability to enact split-rate taxes. One of the bills passed the state senate and would allow Baltimore to enact land value taxes within one mile of rail corridors–this contains 50% of Baltimore’s land value. However, the legislative session ended. We expect the bill to revive next session. The Center for Land Economics has been actively working to help efforts to get this bill passed the line. At the same time, we have uncovered systematic undervaluing of vacant land in assessments. We are writing a report on the assessment issues in Maryland with actionable steps to resolve them.
Inline links: Codebuff, website, Substack, survives, a public Substack, in Rwanda, Growth Summit, Stanford Social Innovation Review, ProMarket, Global Prosperity Institute, Saharon, this page, eadbatteries.substack.com, here, here, a post profiling the Far Out Initiative here, https://tornyol.com, a public website, https://chemrxiv.org/engage/chemrxiv/article-details/67e4cde76dde43c9084d88b7, https://blueprintbiosecurity.org/introducing-project-air/, our way, connect them directly to me, www.Spartacus.app, X, Substack, here, https://www.goodancestors.org.au/ai-safety, https://www.australiansforaisafety.com.au/, https://www.aul.city/blog/reflecting-on-africa-urban-lab-s-inaugural-year-2024-highlights, https://healthlearn.org/blog/updated-impact-model, https://www.youtube.com/playlist?list=PLWVKUEZ25V97tNULapu07DhWv6_W4NfpE, here, public website, here, in urgent need, https://manifund.org/projects/improving-fish-w
Missing Heritability: Much More Than You Wanted To Know
June 26, 2025 · Original source
Maybe there are genes we haven’t found yet For most of the 2010s, hypothesis 2 looked pretty good. Researchers gradually gathered bigger and bigger sample sizes, and found more and more of the missing heritability. A big 2018 study increased the predictive power of known genes from 2% to 10%. An even bigger 2022 study increased it to 14%, and current state of the art is around 17%. Seems like it was sample size after all! Once the samples get big enough we’ll reach 40% and finally close the gap, right? This post is the story of how that didn’t happen, of the people trying to rehabilitate the twin-studies-are-wrong hypothesis, and of the current status of the debate. Its most important influence/foil is Sasha Gusev, whose blog The Infintesimal introduced me to the new anti-hereditarian movement and got me to research it further, but it’s also inspired by Eric Turkheimer, Alex Young (not himself an anti-hereditarian, but his research helped ignite interest in this area), and Awais Aftab. (while I was working on this draft, the East Hunter Substack wrote a similar post. Theirs is good and I recommend it, but I think this one adds enough that I’m publishing anyway. You can see Gusev’s response to East Hunter here) In an interview with Aftab, Gusev explained his philosophy like so (I am excerpting heavily from a long interview and editing for flow/emphasis; completionists should read the whole thing): For teacher-reported ADHD, the twin heritability estimate was 69% while the GWAS-based heritability estimate [ie using genome-wide association studies where researchers actually try to find the genes involved] was just 5%; with similar gaps for other behavioral traits. These are huge differences! If we believe the twin study estimates, then this gap implies that there is a lot of causal genetic variation out there that GWAS/molecular data is not picking up. One way to think about this is that traits that are under stronger natural selection will have more of their genetic variants driven to low frequency, and thus less detectable by GWAS. So a big gap between GWAS and twins could imply that rare variants are very important due to strong selection. On the other hand, if we are skeptical of the twin study estimates, then this gap implies a substantial contribution from those environmental complexities I talked about previously. For a long time, the field of molecular genetics was operating under the assumption that the missing heritability was largely in the rare variants we had not yet measured. But a number of recent advances have started to tip the scales against that argument. First, some of the earlier molecular heritability estimates were found to be inflated by some mix of technical issues and cultural transmission, so the amount of missing heritability actually increased. Second, a new model was developed that could estimate total direct heritability using molecular data from mother-father-child trios, with very few model assumptions (the title literally states “… without environmental bias”; Young et al. 2018), and it too found estimates that were substantially lower than twins on average. Third, several studies have now actually measured the influence of rare variants in various forms, and they are so far not adding up to explain as much as we would expect from twin heritability estimates. Fourth, there is little evidence of the strong natural selection that would be needed to generate a massive trove of rare variants untagged by GWAS. I am a molecular geneticist, and this drumbeat of evidence from molecular data has convinced me that twin studies are either 2-3x inflated or estimate something fundamentally different from direct heritability. We’ll start by looking at Gusev’s first claim: that “earlier molecular estimates” (ie polygenic scores) are significantly inflated, or at least don’t mean what we thought they meant. This won’t be directly relevant to our question - even our original number of 17% implies missing heritability2, so moving it down a bit to 5-10% or up a bit to 20% doesn’t add or subtract from the fundamental mystery. But this discussion has gotten a lot of people extremely confused, and we’ll need to deconfuse ourselves if we’re going to get any further. Are Most Current Polygenic Scores Confounded? A polygenic score is one possible result of a genome-wide association study. These scores are algorithms which take a person’s genes as input and return information about their traits as output. Better polygenic scores can predict a higher percent of variance in a certain trait. For example, the latest polygenic score on educational attainment can predict up to 17% of the variance in how much schooling someone completes. Predictive power is different from causal efficacy. Consider a racist society where the government ensures that all white people get rich but all black people stay poor. In this society, the gene for lactose tolerance (which most white people have, but most black people lack) would do a great job predicting social class, but it wouldn’t cause social class3. It certainly wouldn’t be a “gene for social class” in the sense where it controls the part of your brain that helps you manage money, or where genetic engineering on this gene would make people richer. Here are three common ways that not-directly-causal genes can show up as predicting a trait: Population stratification: genes are linked to culture, and culture determines the trait, as in the racism-lactose example above. Many studies naturally mitigate this concern by using the UK Biobank of mostly white British samples, and by correcting for “principal components” that correspond to ancestry (and there are other, even more complicated ways to correct for this). But ancestry variation is fractal; no matter how uniform your sample, there will still be micro-differences you didn’t consider. For example, if you’re analyzing the educational attainment of white British people, it’s very relevant that families with Norman surnames still outperform their Saxon peers at Oxbridge admissions 900 years after William the Conqueror. If Britons with more Norman ancestry have non-education-related genes that their Saxon peers lack, these could be mistakenly classified as genes for education or other behavioral differences between the two groups. Assortative mating: Suppose that both height and wealth are desirable qualities in a mate. Then tall people will tend to marry rich people, and over generations, the same people will be both rich and tall. That means that even if wealth is 0% genetic, a study looking for “the gene for wealth” will be able to find genes that rich people have more often than poor people - namely, the genes for height. Or suppose that smart people tend to marry other smart people - surely true, if only because so many couples meet at college. Then all the intelligence genes will concentrate in the same people. So any study that tries to determine how much Intelligence Gene ABC affects intelligence will get inflated4 results, because everyone with Intelligence Gene ABC will also have many other intelligence genes - if the study naively asks “How much smarter are people with Gene ABC than people without it?”, it will find they are much smarter (because it’s accidentally including part of the effects of all the other intelligence genes that travel along with it). Parent-to-child transmission, aka “genetic nurture”: Children tend to share their parents’ genes. So if there’s a gene that causes parents to create a certain kind of childrearing environment, and that childrearing environment affects a trait, it will falsely look like a gene that directly causes the trait. Suppose Gene XYZ causes parents to read more books to their children, and reading books to children increases their IQ. Parents with Gene XYZ will tend to read books, so their kids will get high IQ. Those kids will also (probably) inherit Gene XYZ from their parents. So people with Gene XYZ will tend to have higher IQ. If you naively study which genes increase IQ, you’ll see Gene XYZ in more smart people than dumb people, and think it’s a “gene for IQ”. This is “causal” in a certain sense, but it’s not the one we traditionally think about, and it behaves importantly differently - for example, if you genetically engineer someone to have Gene XYZ, their IQ won’t go up (although their kids’ IQs might). How can we tell if a polygenic predictor is “direct” vs. confounded by these non-causal pathways? The most common technique is within-family comparisons: do the traditional “check if people with the gene differ on a trait from people without the gene” study, but limit its focus to (for example) sibling pairs. Suppose a couple has two children; the first child inherits Gene ABC and the second one doesn’t. If the first child is smarter than the second child, that provides some infinitesimal evidence that Gene ABC is a gene for intelligence. Repeat this process over hundreds of thousands of sibling pairs, and the infinitesimal evidence can reach statistical significance. Since the family unit is a perfect natural experiment that isolates the variable of interest (genes) while holding everything else (culture and parenting) constant, within-family results are protected against stratification, assortative mating, and genetic nurture effects. The culmination of this research program is Tan et al 2024, which finds that many polygenic predictors lose significant accuracy when retested among siblings. For example, educational attainment is 50% uncorrelated with direct genetic effects. You need to square this to figure out what percent is causal; when you do that, you find that the polygenic score that explained 14% of EA is only 4%pp direct genes, with the other 10%pp being nondirect5 confounders. So yes, it seems like most polygenic scores that don’t validate within families are confounded. However unhappy we previously were that we had only found 14% of genes for EA (vs. 40% expected), we should now be much more unhappy - we really only know 4% of genes that directly cause EA. On the other hand, you might say - so before we only knew 14%pp out of 40%. Now we only know 4%pp out of 40%. This is discouraging, but it doesn’t fundamentally change what we know about nature vs. nurture. Both 4%pp and 14%pp are less than 40% - with either number, we must be missing something or doing something wrong. Probably that’s insufficient sample size. We’ll keep working on sample size and other things, and eventually scrounge up the missing 26%pp or 36%pp or whatever of the variance, so this doesn’t change anything. All it means is that one predictive method that the average person never knew about in the first place doesn’t work as well as we thought. Who cares? Not doctors. So far this research has only just barely begun to reach the clinic. But also, all doctors want to do is predict things (like heart attack risk). They don’t care if they use causal vs. nondirect genes. It doesn’t matter if you’re “only” at higher risk of heart attack because you’re black, or Norman, or because your parents read books to you - you still need more heart attack medication! Polygenic embryo selection companies should care. They offer polygenic scores that can be used to select healthier or smarter embryos. If the predictors they use rely partly on variants that aren’t causal within families, their real benefits could be far lower than advertised. I talked to one of these companies, who said they’d already adjusted for these effects and expected their competitors had too - the proper antidote to this problem, sibling controls, is a natural choice when you’re literally picking between siblings. The biggest losers are the epidemiologists. They had started using polygenic predictors as a novel randomization method; suppose, for example, you wanted to study whether smoking causes Alzheimers. If you just checked how many smokers vs. nonsmokers got Alzheimers, your result would be vulnerable to bias; maybe poor people smoke more and get more Alzheimers. But (they hoped) you might be able to check whether people with the genes for smoking get more Alzheimers. Poverty can’t make you have more or fewer genes! This was a neat idea, but if the polygenic predictors are wrong about which genes cause smoking and what effect size they have, then the less careful among these results will need to be re-examined. But the reason I spent so much time on the subject here is that this has confused a lot of people into thinking heritability itself was confounded and is actually just 4%. When I read my first few blog posts on these findings, I came away thinking they were claiming to have discredited twin studies and heritability. And although I take partial ownership of my own poor reading comprehension, I maintain that the way that the new anti-hereditarians discuss this is pretty bad. For example, Turkheimer’s treatment of the Tan study above is called Is Tan Et Al The End Of Social Science Genomics?, and includes passages like: The median [direct genomic effect] heritability for behavioral phenotypes is .048. Let that sink in for a second. How different would the modern history of behavior genetics be if back in the 80s one study after another had shown that the heritability of behavior was around .05? When Arthur Jensen wrote about IQ, he usually used a figure of .8 for the heritability of intelligence. I know that the relationship between twin heritabilities and SNP heritabilities is complicated, and in fact the DGE heritability of ability is one of the higher ones, at .2336. But still, it seems to me that the appropriate conclusion from these results is that among people who don’t have an identical twin, genomic information is a statistically non-zero but all in all relatively minor contributor to behavioral differences. And comments included things like: I don’t know if [this study] is the end of social science genomics, but it should certainly be the end of attributing significant genetic influence to behavioral traits (despite the recent scientist-generated cartoons touting genes for “income”). And: There's no doubt that this reported findings have dealt a fatal blow to my conviction that behavioral traits are pre-eminently heritable…This is a remarkable example of an objective statistical fact mercilessly crushing the more subjective experiential sense of "A looks and acts more like B than C because A and B have the same parents." This subjective evidence is almost unshakable and universal in its application as a tried and tested psychosocial heuristic. And yet, here we are. Turkheimer is either misstating the relationship between polygenic scores and narrow-sense heritability, or at least egging on some very confused people who are doing that, and the dynamic was bad enough that I got confused myself for a while. But even more confusing, the new anti-hereditarians actually are saying that lots of behavioral traits have very low heritability! But this point requires different arguments, only tangentially related to these. So let’s move on to… Is Heritability Genuinely Low? (Part 1: GWAS & GREML) In the mid 2010s, when genome-wide association studies (GWAS) based polygenic predictors were getting better every year, it was easy to hope they might reach 40% and close the “missing heritability”. But since then, progress has stalled. The second-to-last tripling of sample size, from 300K to 1M between 2016 - 2018, increased predictive power from 6% → 12%. The last tripling, from 1M to 3M between 2018 - 2022, only increased predictive power from 12% → 14%. If you graph sample size vs. predictive power, it looks like there's an asymptote between 15 - 20% or so. (of which - remember - only 5% is directly causal!) Worse, a mid-2010s technique called GREML allowed researchers to estimate the percent of variance in a trait that comes from the sorts of common genes studied in GWAS, without having to identify the genes involved. A 2016 GREML paper suggested that the maximum share of variance that GWASs of educational attainment could ever discover was about 21% (again, compared to 40% predicted genetic from twin studies). Since unavoidable methodological issues will prevent GWASs from reaching the literal maximum possible, this agrees with the evidence suggesting an asymptote between 15 - 20%. So either twin studies are wrong and traits are less heritable than believed, or the heritability must lie somewhere other than the common genes identifiable by GWAS. What about rare genes? GWASs focus on genetic variation common enough to be worth including in a basic genetic test. Most of this is single nucleotide polymorphisms (“SNPs”). A single nucleotide is one letter of DNA - for example, a C or a G. Polymorphisms are genes that commonly vary in humans - sometimes across races (for example, some humans have a gene for light skin, and other humans have a gene for dark skin), and other times within races (for example, some white people have a gene that makes cilantro taste like soap, and others don’t). So SNPs are single-letter spots in DNA where different people often have different letters. How often? Some people say 1%, but the more practical definition is “often enough that someone has noticed and added it to the test panel”. There are three billion letters in the genome, of which only a few million are commonly-tested SNPs. But these SNP studies have limited7 ability to measure personal mutations and rare variants. Sometimes your parents’ egg and sperm cells mess up copying a nucleotide of DNA, and you get a mutation that isn’t inherited from your ethnic group or even from your subgroup/family line - it’s just some idiosyncratic DNA change that you might be the first person in history to have. Since scientists have never seen this mutation before, they don’t know about it and can’t test for it without doing something more expensive than a simple SNP screen. And SNP studies have limited ability to detect anything more complicated than a single letter changing to another single letter. But some mutations are more complicated structural variants. For example, some bits of DNA get stuck on repeat - one person might have GATGAT, another person might have GATGATGATGAT, and a third person might have fifty GATs in a row. Other bits come out backwards. Sometimes a whole chunk of DNA goes missing, or moves to the wrong place. Occasionally a gene reads The Selfish Gene by Richard Dawkins, takes it too seriously, and evolves some ridiculous trick for spamming itself all over the genome. So if even the best molecular studies seem to be asymptoting around 15-20% of variance in educational attainment, but twin studies suggest it’s 40% genetic, might rare variants and structural variants make up the missing 20-25%pp? This remains a topic of bitter disagreement. On the one side, hereditarians bring up a Darwinian argument: imagine a genetic engineer who hopes to find the genes for educational attainment and edit them to make everyone smart and successful. She looks harder and harder, becoming more and more exasperated as they fail to materialize. Finally, she realizes she’s been scooped: evolution has been working on the same project, and has a 100,000 year head start. In the context of intense, recent selection for intelligence, we should expect evolution to have already found (and eliminated) the most straightforward, easy-to-find genes for low intelligence. Therefore, everything left should be convoluted or hidden or impossible to work with. So although this requires a sort of god-of-the-gaps argument - where we keep pushing heritability into whatever genes are too weird for existing techniques to detect - there are some reasons to think God really is in the gaps here. And a 2017 paper uses some clever techniques to estimate the share of intelligence variation lurking in hard-to-measure genes and finds it’s more than half: “By capturing these additional genetic effects, our models closely approximate the heritability estimates from twin studies for intelligence and education.” (see also Wainschtein 2022, Sidorenko 2024) The anti-hereditarians disagree. They cite papers like Zeng which measure the strength of selection on intelligence and suggest that it’s too weak to concentrate so much of the variation in rare genes8. And Sasha Gusev mentions Weiner 2023, which finds that in fact rare variants “explain 1.3% (SE = 0.03%) of phenotypic variance on average – much less than common variants” (other experts say that burden heritability only captures some rare variants and is not the right tool for this problem). But it may not even matter, because another set of findings suggests that heritability is genuinely low even when the rare variants are counted. Is Heritability Genuinely Low? (Part 2: Sib-Regression and RDR) Two newer methods, Sib-Regression and RDR, ask: using what we know from genetic studies, how much genetic variation do we think exists, total, across both common and rare genes? On average siblings share 50% of genes. But there’s a little randomness in meiosis, so some siblings might share 40% and others might share 60%. The more genetic influence on a trait, the more similar sibling pairs who share 60% of their genes will be, compared to sibling pairs who only share 40% of their genes. Since 60%-gene siblings and 40%-gene siblings are both equally part of the same family, you can use these numbers to calculate heritability unconfounded by a range of family factors. This is Sib-Regression. If you do a more complicated statistical process to extend the same idea to relatives other than siblings, it’s relatedness disequilibrium regression or RDR. GWAS asks: Looking at common easy-to-study genes, how much variation in a trait have we explained right now? GREML asks: looking at common easy-to-study genes, how much variation could we ever explain? But sib-regression and RDR ask a question more like twin studies: considering all genes, whether common / rare / easy-to-study / hard-to-study, how much variation is there total? This could address the rare variant objection mentioned above. And in many ways, these techniques are better than twin studies - Sib-Regression eliminates many potential biases, and RDR eliminates even more (although it’s harder to pull off, requiring more genetic information and computational resources). These techniques are new and hard-to-use, and only a few published studies have applied them to the sorts of behavioral traits we’re interested in: Young et al (2018) did Sib-Regression and RDR to genetic data from Iceland. Sib-regression found educational attainment = 40% (±15%) heritable, and RDR found 17% (±9%) heritable. Kemper et al (2021) did Sib-Regression only to genetic data from Britain. It found educational attainment = 14% heritable. This number conflicts with the 40% from the Young paper. Why? Unclear, but it could be selection bias - Young’s Icelandic sample was representative of the country; Kemper’s British population were Biobank volunteers who tend tend to be healthier and higher-class than the population at large. Upper-class people may have restricted range in educational attainment, or different factors affecting their educational attainment compared to the overall population. Either way, these are closer to the low estimates from GWAS and GREML (7% direct, 20% total), than to the higher estimates from twin studies (40%, generally presumed direct). And we can no longer use contributions from rare variants to paper over the difference. So what is going on? It seems like we have to accept one of three possibilities: Either something is wrong with twin studies. Or something is wrong with Sib-Regression and RDR (and then we can explain away GWAS and GREML by saying they’re missing rare variants). Or something is wrong with how we’re thinking about this topic and comparing things. What’s Going On? (Part 1: Is Something Wrong With Twin Studies?) Twin studies have dominated discussion of behavioral genetics for decades, so there’s a vast literature investigating their various assumptions and whether something might be wrong with them. Here are some of the assumptions and what the research says about each. Some of these will be duplicates of the GWAS confounders above, but we’ll go through them again anyway to review how they apply to twins. 1: Parents Treat Fraternal And Identical Twins The Same: Twin studies claim that twins are a uniquely powerful genetic laboratory; both fraternal and identical twin pairs have equally concordant environments, but identical twins have more concordant genes. Therefore, the more similar identical twin pairs are relative to fraternal twin pairs, the more heritable a trait must be. But this conclusion falls apart if identical twin pairs actually have more similar environments than fraternal twin pairs do, maybe because parents (knowing their twins are identical) treat them more similarly than they would fraternal twins. Would-be twin-study-discreditors have been trying to argue that this must be true for decades, but it’s always been a kind of quixotic battle. Remember, twin studies find many behavioral traits like IQ are >60% heritable, so you would need to prove not only that parents treat identical twin pairs differently from fraternal, but that this was an overwhelming effect. Parents of identical twins would have to obsessively expose them to the exact same stimuli in the exact same order; parents of fraternal twins would have to send one to the Gifted Advanced Placement Acceleration program while locking the other in a box and force-feeding them lead pellets. Common sense tells us there are no such differences, and studies confirm this: when parents are wrong about their twins’ status (eg they have fraternal twins, but falsely think they’re identical, or vice versa) their trait similarity matches their real status, rather than the incorrect status that determined how their parents treat them; parental treatment explains less than 1% of why identical twin pairs are more concordant (2, 3, 4). See also Felson 2013, which tries to measure environmental similarity and adjust for it, with minimal effects. Are these two cuties monozygotic or dizygotic? Are you sure? (answer) 2: Fraternal And Identical Twins Have Equally Concordant Uterine Environments: Fraternal twins have different sacs in the uterus and use different placentas. Most identical twins share a placenta, and some share an amniotic sac. If trait similarity is caused by sharing a placenta or sac (maybe because the placenta is defective, the fetal brain is starved of nutrients, and so the person has a lower IQ when they grow up), twin studies would falsely read this identical-fraternal difference as genetic. Luckily this is easy to study; not all identical twins share a placenta or sac, so you can cleanly separate the effect of uterine environment from genetics. If you measure enough traits, you can find small deviations in some, but it’s not clear whether this is just multiple testing, and in any case the deviations are small. The best studies suggest this chips off somewhere between 0 - 3% from heritability estimates9. 3: There is little assortative mating: We discussed this one above in the earlier section on GWAS - smart/pretty/kind/whatever people tend to marry other smart/pretty/kind/whatever people. Why would this bias twin study results? Identical twins share 100% of their genes. Fraternal twins ought to share 50% of their genes - but they get half their genes from their mother, and half from their father. In the degenerate case where the mother and father have exactly the same genes (“would you have sex with your clone?”) even fraternal twins will be extremely similar (although not quite identical, since they’ll get different alleles from each clone). In the more plausible case where mothers and fathers are just a little more alike than chance (eg because smart people tend to marry other smart people), fraternal twins will share a genetic tendency towards a trait somewhat more than their 50% shared genes suggest. Since this makes fraternal twin pairs more (genetically) like identical twin pairs, and twin studies assess heritability as the difference in fraternal-identical-twin-pair concordance, this bias would make twin studies underestimate heritability. But this is the opposite of what you would need to “discredit” twin studies - if this bias is true, then everything is more genetic than twin studies think. And unlike the previous two biases, this one seems real and important, so much so that when you adjust for it, the heritability of educational attainment rises from ~40% to ~50%. I’m only mentioning this one here because some anti-hereditarians argue that you can’t trust twin studies because of assortative mating, without mentioning that this can only bias them down. 4: Population stratification: This is often large and worth worrying about, but it applies to identical and fraternal twin pairs equally, and doesn’t bias twin study heritability estimates much (though it might shift the balance between shared and non-shared environment). See eg the sentence around footnote 30 here. 5: Non-additive / “interaction” effects: These are theoretically interesting, but all research thus far has found they are minimal (1, 2). Some experts think this may miss rarer or harder-to-find interactions; we’ll return to this later. 6: “Genetic nurture”, parent-to-child Mentioned above: if there is a gene for reading books to kids, and reading books raises IQ, it will look like a “gene for IQ”. This isn’t as relevant to twin study estimates of heritability, since both identical twins and fraternal twins are equally related to their parents, and any trait caused by genetic nurture wouldn’t differ between them (and therefore would not falsely appear heritable in this design). Rather, they would appear as shared environment. 7: “Genetic nurture”, sibling-to-sibling That is, suppose your sibling’s traits influence your own development. For example, suppose your sibling has a gene that makes them sabotage your schoolwork, causing you to fail and drop out of school early. An identical twin would share this gene with their sibling more often than a fraternal twin, making it look like a “gene for doing badly at school” (since the people who have it do worse at school than those who don’t). Why are we even talking about this? Do we really think it’s a big part of the variance in behavioral traits? Challenging twin study heritability estimates through this route requires inhabiting a weird no-man’s-land where otherwise-invisible genetic and environmental pathways suddenly flare up when you say the magic words “it was done by a sibling”. For example, this requires a strong effect of shared environment - that is, your educational attainment has to depend on whether you’re being sabotaged or not. But in general, shared environmental effects are weak. And it requires a strong effect of genes - that is, this mechanism only works if your sibling’s tendency to sabotage you is highly genetically determined. But we’re deploying this claim to deny that traits like IQ or educational attainment are highly genetically determined. So to get much out of this, the tendency to sabotage siblings would have to be more genetic than other behavioral traits! The reason this convoluted possibility gets brought up so often is that, unlike the more plausible parent-to-child genetic nurture, twin studies can’t rule it out. So if you really want to deny twin studies, this is one of your best bets. But when investigated, this has effects indistinguishable from zero. I’ve been a bit mean in this whole section, because people really like to dismiss twin studies as “Oh, don’t you know, those depend on assumptions, I bet you never considered that assumptions might be wrong”, and then Gish Gallop you with different assumptions until you give up. But scientists have actually done a lot of really good work checking the assumptions and they mostly hold. An alternative way of validating twin studies (brought up by Noah Carl in this article) is to check them against their close cousins, adoption studies and pedigree studies. Pedigree studies investigate large family trees, and check how trait similarity decreases with genetic distance. They avoid twin specific biases (like different treatment of fraternal vs. identical twin pairs, or different prenatal environments), while adding others like assortative mating. Here are the heritabilities of IQ and EA found in pedigree studies10 (see footnote for sources and caveats, and see also here and here for somewhat similar designs): Adoption studies investigate whether adoptees’ traits are more correlated with their adoptive or biological parents. They avoid a large swathe of biases, at the risk of introducing new adoption-related biases of their own (like the possibility that agencies deliberately place adoptive children with parents who are culturally or behaviorally similar, or the possibility that adoptees were adopted late enough to still get some shared environment from their biological parents). Here are the findings of some of the largest and best11: Both straightforwardly confirmed the larger heritability numbers found in twin studies. I would add the evidence from some less formal “adoption studies”12. During residency, I spent a few months working in a child psychiatric hospital for the worst of the worst - kids who committed murder or rape or something before age 18. Many of these children had similar stories: they were taken from their parents just after birth because the parents were criminals/drug addicts/in jail/abusing them. Then they were adopted out to some extremely nice Christian family whose church told them that God wanted them to help poor little children in need. Then they promptly proceeded to commit crime / get addicted to drugs / go to jail / abuse people, all while those families’ biological children were goody-goodies who never got so much as a school detention. When I met with the families, they would always be surprised that things had gone so badly, insisting that they’d raised them exactly like their own son/daughter and taught them good Christian morals. I had to resist the urge to shove a pile of twin studies in their face. This has left me convinced that behavioral traits are highly heritable to a level that it would be hard for any study to contradict. Ultimate source here. Although the study is confusing about this, I think it’s trying to say that almost 90% of subjects were adopted before age 2. But I don’t think studies do contradict this. Given the degree to which their assumptions have been validated, and the level of confirmation from pedigree and adoption studies, I think they have earned a presumption of accuracy. Doubting the twin studies doesn’t seem like a promising route to reconciling the twin-vs-Sib-Regression/RDR discrepancy. What’s Going On? (Part 2: Is Something Wrong With Sib-Regression And RDR?) Sib-Regression is a clever way of avoiding most biases. Its independent variable - the degree to which some sibling pairs end up with slightly more shared genes than others - is even more random and exogenous than the difference between fraternal and identical twins. It can sometimes have biases related to assortative mating (which would falsely push heritability down), but otherwise it’s pretty good. RDR has many of the same advantages, and allows more diverse relationships and so larger sample sizes. It’s hard to think of ways these methods could be wildly off. There is one caveat: although RDR includes most of the rare and structural variants missed by GWAS, in theory it can miss certain ultra-rare variants which are so uncommon that they aren’t shared between some of the relative pairs used in RDR. De novo variants that occurred during the subject’s own conception would be in this category, if the subject didn’t have children or didn’t pass on that gene13. This seems like a pretty small subcategory of genetic variation, and I wouldn’t normally expect that much of importance to be hiding here, but maybe it’s more important than it seems. RDR also doesn’t include much variance caused by statistical interactions between genes. Although we said above that these are usually found to be insignificant, they might be more important in a trait like intelligence that has been under recent evolutionary selection that lops off easily-detectable sources of variance and leaves only the weird obscure ones behind. There’s limited ability for classical Mendelian dominance to affect common variants, but more complicated genetic interactions might still prove important. Overall these are strong methods, and their failure to converge is troubling. If forced to explain them away, we might tell a story like: So far, there is only one RDR study and a few Sib-Regression studies, so we should wait for more data before updating too hard.
Inline links: Sasha Gusev, The Infintesimal, Eric Turkheimer, Alex Young, Awais Aftab, wrote a similar post, here, read the whole thing, Young et al. 2018, 2, 3, families with Norman surnames still outperform their Saxon peers at Oxbridge admissions, or other behavioral differences between the two groups, 4, Tan et al 2024, https://substackcdn.com/image/fetch/$s_!ioe2!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F05c5bec7-469c-40d2-b908-68d8583c9cca_766x766.png, 5, Polygenic embryo selection, need, Is Tan Et Al The End Of Social Science Genomics?, 6, like, And, 300K, 1M, 3M, A 2016 GREML paper, 7, evolves some ridiculous trick, a Darwinian argument, a 2017 paper, Wainschtein 2022, Sidorenko 2024, Zeng, 8, Weiner 2023, other experts say, meiosis, Young et al (2018), Kemper et al (2021), their trait similarity, matches their real status, 2, 3, 4, Felson 2013, https://substackcdn.com/image/fetch/$s_!r3kV!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd575f2d6-3619-40e6-9a5e-f9f1ec1399a5_650x422.png, answer, The best studies, 9, seems real and important, here, 1, 2, when investigated, in this article, 10, here, here, https://substackcdn.com/image/fetch/$s_!b3LF!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc094f9c0-4c71-48cf-89dc-615498d94812_483x51.png, 11, https://substackcdn.com/image/fetch/$s_!XFWU!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F85f433e5-d141-47b7-8dc5-2271925032e9_483x102.png, 12, https://x.com/cremieuxrecueil/status/1935731422205010135, here, 13
For example, educational attainment is 50% uncorrelated with direct genetic effects. You need to square this to figure out what percent is causal; when you do that, you find that the polygenic score that explained 14% of EA is only 4%pp direct genes, with the other 10%pp being nondirect5 confounders. So yes, it seems like most polygenic scores that don’t validate within families are confounded. However unhappy we previously were that we had only found 14% of genes for EA (vs. 40% expected), we should now be much more unhappy - we really only know 4% of genes that directly cause EA. On the other hand, you might say - so before we only knew 14%pp out of 40%. Now we only know 4%pp out of 40%. This is discouraging, but it doesn’t fundamentally change what we know about nature vs. nurture. Both 4%pp and 14%pp are less than 40% - with either number, we must be missing something or doing something wrong. Probably that’s insufficient sample size. We’ll keep working on sample size and other things, and eventually scrounge up the missing 26%pp or 36%pp or whatever of the variance, so this doesn’t change anything. All it means is that one predictive method that the average person never knew about in the first place doesn’t work as well as we thought. Who cares? Not doctors. So far this research has only just barely begun to reach the clinic. But also, all doctors want to do is predict things (like heart attack risk). They don’t care if they use causal vs. nondirect genes. It doesn’t matter if you’re “only” at higher risk of heart attack because you’re black, or Norman, or because your parents read books to you - you still need more heart attack medication! Polygenic embryo selection companies should care. They offer polygenic scores that can be used to select healthier or smarter embryos. If the predictors they use rely partly on variants that aren’t causal within families, their real benefits could be far lower than advertised. I talked to one of these companies, who said they’d already adjusted for these effects and expected their competitors had too - the proper antidote to this problem, sibling controls, is a natural choice when you’re literally picking between siblings. The biggest losers are the epidemiologists. They had started using polygenic predictors as a novel randomization method; suppose, for example, you wanted to study whether smoking causes Alzheimers. If you just checked how many smokers vs. nonsmokers got Alzheimers, your result would be vulnerable to bias; maybe poor people smoke more and get more Alzheimers. But (they hoped) you might be able to check whether people with the genes for smoking get more Alzheimers. Poverty can’t make you have more or fewer genes! This was a neat idea, but if the polygenic predictors are wrong about which genes cause smoking and what effect size they have, then the less careful among these results will need to be re-examined. But the reason I spent so much time on the subject here is that this has confused a lot of people into thinking heritability itself was confounded and is actually just 4%. When I read my first few blog posts on these findings, I came away thinking they were claiming to have discredited twin studies and heritability. And although I take partial ownership of my own poor reading comprehension, I maintain that the way that the new anti-hereditarians discuss this is pretty bad. For example, Turkheimer’s treatment of the Tan study above is called Is Tan Et Al The End Of Social Science Genomics?, and includes passages like: The median [direct genomic effect] heritability for behavioral phenotypes is .048. Let that sink in for a second. How different would the modern history of behavior genetics be if back in the 80s one study after another had shown that the heritability of behavior was around .05? When Arthur Jensen wrote about IQ, he usually used a figure of .8 for the heritability of intelligence. I know that the relationship between twin heritabilities and SNP heritabilities is complicated, and in fact the DGE heritability of ability is one of the higher ones, at .2336. But still, it seems to me that the appropriate conclusion from these results is that among people who don’t have an identical twin, genomic information is a statistically non-zero but all in all relatively minor contributor to behavioral differences. And comments included things like: I don’t know if [this study] is the end of social science genomics, but it should certainly be the end of attributing significant genetic influence to behavioral traits (despite the recent scientist-generated cartoons touting genes for “income”). And: There's no doubt that this reported findings have dealt a fatal blow to my conviction that behavioral traits are pre-eminently heritable…This is a remarkable example of an objective statistical fact mercilessly crushing the more subjective experiential sense of "A looks and acts more like B than C because A and B have the same parents." This subjective evidence is almost unshakable and universal in its application as a tried and tested psychosocial heuristic. And yet, here we are. Turkheimer is either misstating the relationship between polygenic scores and narrow-sense heritability, or at least egging on some very confused people who are doing that, and the dynamic was bad enough that I got confused myself for a while. But even more confusing, the new anti-hereditarians actually are saying that lots of behavioral traits have very low heritability! But this point requires different arguments, only tangentially related to these. So let’s move on to… Is Heritability Genuinely Low? (Part 1: GWAS & GREML) In the mid 2010s, when genome-wide association studies (GWAS) based polygenic predictors were getting better every year, it was easy to hope they might reach 40% and close the “missing heritability”. But since then, progress has stalled. The second-to-last tripling of sample size, from 300K to 1M between 2016 - 2018, increased predictive power from 6% → 12%. The last tripling, from 1M to 3M between 2018 - 2022, only increased predictive power from 12% → 14%. If you graph sample size vs. predictive power, it looks like there's an asymptote between 15 - 20% or so. (of which - remember - only 5% is directly causal!) Worse, a mid-2010s technique called GREML allowed researchers to estimate the percent of variance in a trait that comes from the sorts of common genes studied in GWAS, without having to identify the genes involved. A 2016 GREML paper suggested that the maximum share of variance that GWASs of educational attainment could ever discover was about 21% (again, compared to 40% predicted genetic from twin studies). Since unavoidable methodological issues will prevent GWASs from reaching the literal maximum possible, this agrees with the evidence suggesting an asymptote between 15 - 20%. So either twin studies are wrong and traits are less heritable than believed, or the heritability must lie somewhere other than the common genes identifiable by GWAS. What about rare genes? GWASs focus on genetic variation common enough to be worth including in a basic genetic test. Most of this is single nucleotide polymorphisms (“SNPs”). A single nucleotide is one letter of DNA - for example, a C or a G. Polymorphisms are genes that commonly vary in humans - sometimes across races (for example, some humans have a gene for light skin, and other humans have a gene for dark skin), and other times within races (for example, some white people have a gene that makes cilantro taste like soap, and others don’t). So SNPs are single-letter spots in DNA where different people often have different letters. How often? Some people say 1%, but the more practical definition is “often enough that someone has noticed and added it to the test panel”. There are three billion letters in the genome, of which only a few million are commonly-tested SNPs. But these SNP studies have limited7 ability to measure personal mutations and rare variants. Sometimes your parents’ egg and sperm cells mess up copying a nucleotide of DNA, and you get a mutation that isn’t inherited from your ethnic group or even from your subgroup/family line - it’s just some idiosyncratic DNA change that you might be the first person in history to have. Since scientists have never seen this mutation before, they don’t know about it and can’t test for it without doing something more expensive than a simple SNP screen. And SNP studies have limited ability to detect anything more complicated than a single letter changing to another single letter. But some mutations are more complicated structural variants. For example, some bits of DNA get stuck on repeat - one person might have GATGAT, another person might have GATGATGATGAT, and a third person might have fifty GATs in a row. Other bits come out backwards. Sometimes a whole chunk of DNA goes missing, or moves to the wrong place. Occasionally a gene reads The Selfish Gene by Richard Dawkins, takes it too seriously, and evolves some ridiculous trick for spamming itself all over the genome. So if even the best molecular studies seem to be asymptoting around 15-20% of variance in educational attainment, but twin studies suggest it’s 40% genetic, might rare variants and structural variants make up the missing 20-25%pp? This remains a topic of bitter disagreement. On the one side, hereditarians bring up a Darwinian argument: imagine a genetic engineer who hopes to find the genes for educational attainment and edit them to make everyone smart and successful. She looks harder and harder, becoming more and more exasperated as they fail to materialize. Finally, she realizes she’s been scooped: evolution has been working on the same project, and has a 100,000 year head start. In the context of intense, recent selection for intelligence, we should expect evolution to have already found (and eliminated) the most straightforward, easy-to-find genes for low intelligence. Therefore, everything left should be convoluted or hidden or impossible to work with. So although this requires a sort of god-of-the-gaps argument - where we keep pushing heritability into whatever genes are too weird for existing techniques to detect - there are some reasons to think God really is in the gaps here. And a 2017 paper uses some clever techniques to estimate the share of intelligence variation lurking in hard-to-measure genes and finds it’s more than half: “By capturing these additional genetic effects, our models closely approximate the heritability estimates from twin studies for intelligence and education.” (see also Wainschtein 2022, Sidorenko 2024) The anti-hereditarians disagree. They cite papers like Zeng which measure the strength of selection on intelligence and suggest that it’s too weak to concentrate so much of the variation in rare genes8. And Sasha Gusev mentions Weiner 2023, which finds that in fact rare variants “explain 1.3% (SE = 0.03%) of phenotypic variance on average – much less than common variants” (other experts say that burden heritability only captures some rare variants and is not the right tool for this problem). But it may not even matter, because another set of findings suggests that heritability is genuinely low even when the rare variants are counted. Is Heritability Genuinely Low? (Part 2: Sib-Regression and RDR) Two newer methods, Sib-Regression and RDR, ask: using what we know from genetic studies, how much genetic variation do we think exists, total, across both common and rare genes? On average siblings share 50% of genes. But there’s a little randomness in meiosis, so some siblings might share 40% and others might share 60%. The more genetic influence on a trait, the more similar sibling pairs who share 60% of their genes will be, compared to sibling pairs who only share 40% of their genes. Since 60%-gene siblings and 40%-gene siblings are both equally part of the same family, you can use these numbers to calculate heritability unconfounded by a range of family factors. This is Sib-Regression. If you do a more complicated statistical process to extend the same idea to relatives other than siblings, it’s relatedness disequilibrium regression or RDR. GWAS asks: Looking at common easy-to-study genes, how much variation in a trait have we explained right now? GREML asks: looking at common easy-to-study genes, how much variation could we ever explain? But sib-regression and RDR ask a question more like twin studies: considering all genes, whether common / rare / easy-to-study / hard-to-study, how much variation is there total? This could address the rare variant objection mentioned above. And in many ways, these techniques are better than twin studies - Sib-Regression eliminates many potential biases, and RDR eliminates even more (although it’s harder to pull off, requiring more genetic information and computational resources). These techniques are new and hard-to-use, and only a few published studies have applied them to the sorts of behavioral traits we’re interested in: Young et al (2018) did Sib-Regression and RDR to genetic data from Iceland. Sib-regression found educational attainment = 40% (±15%) heritable, and RDR found 17% (±9%) heritable. Kemper et al (2021) did Sib-Regression only to genetic data from Britain. It found educational attainment = 14% heritable. This number conflicts with the 40% from the Young paper. Why? Unclear, but it could be selection bias - Young’s Icelandic sample was representative of the country; Kemper’s British population were Biobank volunteers who tend tend to be healthier and higher-class than the population at large. Upper-class people may have restricted range in educational attainment, or different factors affecting their educational attainment compared to the overall population. Either way, these are closer to the low estimates from GWAS and GREML (7% direct, 20% total), than to the higher estimates from twin studies (40%, generally presumed direct). And we can no longer use contributions from rare variants to paper over the difference. So what is going on? It seems like we have to accept one of three possibilities: Either something is wrong with twin studies. Or something is wrong with Sib-Regression and RDR (and then we can explain away GWAS and GREML by saying they’re missing rare variants). Or something is wrong with how we’re thinking about this topic and comparing things. What’s Going On? (Part 1: Is Something Wrong With Twin Studies?) Twin studies have dominated discussion of behavioral genetics for decades, so there’s a vast literature investigating their various assumptions and whether something might be wrong with them. Here are some of the assumptions and what the research says about each. Some of these will be duplicates of the GWAS confounders above, but we’ll go through them again anyway to review how they apply to twins. 1: Parents Treat Fraternal And Identical Twins The Same: Twin studies claim that twins are a uniquely powerful genetic laboratory; both fraternal and identical twin pairs have equally concordant environments, but identical twins have more concordant genes. Therefore, the more similar identical twin pairs are relative to fraternal twin pairs, the more heritable a trait must be. But this conclusion falls apart if identical twin pairs actually have more similar environments than fraternal twin pairs do, maybe because parents (knowing their twins are identical) treat them more similarly than they would fraternal twins. Would-be twin-study-discreditors have been trying to argue that this must be true for decades, but it’s always been a kind of quixotic battle. Remember, twin studies find many behavioral traits like IQ are >60% heritable, so you would need to prove not only that parents treat identical twin pairs differently from fraternal, but that this was an overwhelming effect. Parents of identical twins would have to obsessively expose them to the exact same stimuli in the exact same order; parents of fraternal twins would have to send one to the Gifted Advanced Placement Acceleration program while locking the other in a box and force-feeding them lead pellets. Common sense tells us there are no such differences, and studies confirm this: when parents are wrong about their twins’ status (eg they have fraternal twins, but falsely think they’re identical, or vice versa) their trait similarity matches their real status, rather than the incorrect status that determined how their parents treat them; parental treatment explains less than 1% of why identical twin pairs are more concordant (2, 3, 4). See also Felson 2013, which tries to measure environmental similarity and adjust for it, with minimal effects. Are these two cuties monozygotic or dizygotic? Are you sure? (answer) 2: Fraternal And Identical Twins Have Equally Concordant Uterine Environments: Fraternal twins have different sacs in the uterus and use different placentas. Most identical twins share a placenta, and some share an amniotic sac. If trait similarity is caused by sharing a placenta or sac (maybe because the placenta is defective, the fetal brain is starved of nutrients, and so the person has a lower IQ when they grow up), twin studies would falsely read this identical-fraternal difference as genetic. Luckily this is easy to study; not all identical twins share a placenta or sac, so you can cleanly separate the effect of uterine environment from genetics. If you measure enough traits, you can find small deviations in some, but it’s not clear whether this is just multiple testing, and in any case the deviations are small. The best studies suggest this chips off somewhere between 0 - 3% from heritability estimates9. 3: There is little assortative mating: We discussed this one above in the earlier section on GWAS - smart/pretty/kind/whatever people tend to marry other smart/pretty/kind/whatever people. Why would this bias twin study results? Identical twins share 100% of their genes. Fraternal twins ought to share 50% of their genes - but they get half their genes from their mother, and half from their father. In the degenerate case where the mother and father have exactly the same genes (“would you have sex with your clone?”) even fraternal twins will be extremely similar (although not quite identical, since they’ll get different alleles from each clone). In the more plausible case where mothers and fathers are just a little more alike than chance (eg because smart people tend to marry other smart people), fraternal twins will share a genetic tendency towards a trait somewhat more than their 50% shared genes suggest. Since this makes fraternal twin pairs more (genetically) like identical twin pairs, and twin studies assess heritability as the difference in fraternal-identical-twin-pair concordance, this bias would make twin studies underestimate heritability. But this is the opposite of what you would need to “discredit” twin studies - if this bias is true, then everything is more genetic than twin studies think. And unlike the previous two biases, this one seems real and important, so much so that when you adjust for it, the heritability of educational attainment rises from ~40% to ~50%. I’m only mentioning this one here because some anti-hereditarians argue that you can’t trust twin studies because of assortative mating, without mentioning that this can only bias them down. 4: Population stratification: This is often large and worth worrying about, but it applies to identical and fraternal twin pairs equally, and doesn’t bias twin study heritability estimates much (though it might shift the balance between shared and non-shared environment). See eg the sentence around footnote 30 here. 5: Non-additive / “interaction” effects: These are theoretically interesting, but all research thus far has found they are minimal (1, 2). Some experts think this may miss rarer or harder-to-find interactions; we’ll return to this later. 6: “Genetic nurture”, parent-to-child Mentioned above: if there is a gene for reading books to kids, and reading books raises IQ, it will look like a “gene for IQ”. This isn’t as relevant to twin study estimates of heritability, since both identical twins and fraternal twins are equally related to their parents, and any trait caused by genetic nurture wouldn’t differ between them (and therefore would not falsely appear heritable in this design). Rather, they would appear as shared environment. 7: “Genetic nurture”, sibling-to-sibling That is, suppose your sibling’s traits influence your own development. For example, suppose your sibling has a gene that makes them sabotage your schoolwork, causing you to fail and drop out of school early. An identical twin would share this gene with their sibling more often than a fraternal twin, making it look like a “gene for doing badly at school” (since the people who have it do worse at school than those who don’t). Why are we even talking about this? Do we really think it’s a big part of the variance in behavioral traits? Challenging twin study heritability estimates through this route requires inhabiting a weird no-man’s-land where otherwise-invisible genetic and environmental pathways suddenly flare up when you say the magic words “it was done by a sibling”. For example, this requires a strong effect of shared environment - that is, your educational attainment has to depend on whether you’re being sabotaged or not. But in general, shared environmental effects are weak. And it requires a strong effect of genes - that is, this mechanism only works if your sibling’s tendency to sabotage you is highly genetically determined. But we’re deploying this claim to deny that traits like IQ or educational attainment are highly genetically determined. So to get much out of this, the tendency to sabotage siblings would have to be more genetic than other behavioral traits! The reason this convoluted possibility gets brought up so often is that, unlike the more plausible parent-to-child genetic nurture, twin studies can’t rule it out. So if you really want to deny twin studies, this is one of your best bets. But when investigated, this has effects indistinguishable from zero. I’ve been a bit mean in this whole section, because people really like to dismiss twin studies as “Oh, don’t you know, those depend on assumptions, I bet you never considered that assumptions might be wrong”, and then Gish Gallop you with different assumptions until you give up. But scientists have actually done a lot of really good work checking the assumptions and they mostly hold. An alternative way of validating twin studies (brought up by Noah Carl in this article) is to check them against their close cousins, adoption studies and pedigree studies. Pedigree studies investigate large family trees, and check how trait similarity decreases with genetic distance. They avoid twin specific biases (like different treatment of fraternal vs. identical twin pairs, or different prenatal environments), while adding others like assortative mating. Here are the heritabilities of IQ and EA found in pedigree studies10 (see footnote for sources and caveats, and see also here and here for somewhat similar designs): Adoption studies investigate whether adoptees’ traits are more correlated with their adoptive or biological parents. They avoid a large swathe of biases, at the risk of introducing new adoption-related biases of their own (like the possibility that agencies deliberately place adoptive children with parents who are culturally or behaviorally similar, or the possibility that adoptees were adopted late enough to still get some shared environment from their biological parents). Here are the findings of some of the largest and best11: Both straightforwardly confirmed the larger heritability numbers found in twin studies. I would add the evidence from some less formal “adoption studies”12. During residency, I spent a few months working in a child psychiatric hospital for the worst of the worst - kids who committed murder or rape or something before age 18. Many of these children had similar stories: they were taken from their parents just after birth because the parents were criminals/drug addicts/in jail/abusing them. Then they were adopted out to some extremely nice Christian family whose church told them that God wanted them to help poor little children in need. Then they promptly proceeded to commit crime / get addicted to drugs / go to jail / abuse people, all while those families’ biological children were goody-goodies who never got so much as a school detention. When I met with the families, they would always be surprised that things had gone so badly, insisting that they’d raised them exactly like their own son/daughter and taught them good Christian morals. I had to resist the urge to shove a pile of twin studies in their face. This has left me convinced that behavioral traits are highly heritable to a level that it would be hard for any study to contradict. Ultimate source here. Although the study is confusing about this, I think it’s trying to say that almost 90% of subjects were adopted before age 2. But I don’t think studies do contradict this. Given the degree to which their assumptions have been validated, and the level of confirmation from pedigree and adoption studies, I think they have earned a presumption of accuracy. Doubting the twin studies doesn’t seem like a promising route to reconciling the twin-vs-Sib-Regression/RDR discrepancy. What’s Going On? (Part 2: Is Something Wrong With Sib-Regression And RDR?) Sib-Regression is a clever way of avoiding most biases. Its independent variable - the degree to which some sibling pairs end up with slightly more shared genes than others - is even more random and exogenous than the difference between fraternal and identical twins. It can sometimes have biases related to assortative mating (which would falsely push heritability down), but otherwise it’s pretty good. RDR has many of the same advantages, and allows more diverse relationships and so larger sample sizes. It’s hard to think of ways these methods could be wildly off. There is one caveat: although RDR includes most of the rare and structural variants missed by GWAS, in theory it can miss certain ultra-rare variants which are so uncommon that they aren’t shared between some of the relative pairs used in RDR. De novo variants that occurred during the subject’s own conception would be in this category, if the subject didn’t have children or didn’t pass on that gene13. This seems like a pretty small subcategory of genetic variation, and I wouldn’t normally expect that much of importance to be hiding here, but maybe it’s more important than it seems. RDR also doesn’t include much variance caused by statistical interactions between genes. Although we said above that these are usually found to be insignificant, they might be more important in a trait like intelligence that has been under recent evolutionary selection that lops off easily-detectable sources of variance and leaves only the weird obscure ones behind. There’s limited ability for classical Mendelian dominance to affect common variants, but more complicated genetic interactions might still prove important. Overall these are strong methods, and their failure to converge is troubling. If forced to explain them away, we might tell a story like: So far, there is only one RDR study and a few Sib-Regression studies, so we should wait for more data before updating too hard.
Inline links: 5, Polygenic embryo selection, need, Is Tan Et Al The End Of Social Science Genomics?, 6, like, And, 300K, 1M, 3M, A 2016 GREML paper, 7, evolves some ridiculous trick, a Darwinian argument, a 2017 paper, Wainschtein 2022, Sidorenko 2024, Zeng, 8, Weiner 2023, other experts say, meiosis, Young et al (2018), Kemper et al (2021), their trait similarity, matches their real status, 2, 3, 4, Felson 2013, https://substackcdn.com/image/fetch/$s_!r3kV!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd575f2d6-3619-40e6-9a5e-f9f1ec1399a5_650x422.png, answer, The best studies, 9, seems real and important, here, 1, 2, when investigated, in this article, 10, here, here, https://substackcdn.com/image/fetch/$s_!b3LF!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc094f9c0-4c71-48cf-89dc-615498d94812_483x51.png, 11, https://substackcdn.com/image/fetch/$s_!XFWU!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F85f433e5-d141-47b7-8dc5-2271925032e9_483x102.png, 12, https://x.com/cremieuxrecueil/status/1935731422205010135, here, 13
Are these two cuties monozygotic or dizygotic? Are you sure? (answer) 2: Fraternal And Identical Twins Have Equally Concordant Uterine Environments: Fraternal twins have different sacs in the uterus and use different placentas. Most identical twins share a placenta, and some share an amniotic sac. If trait similarity is caused by sharing a placenta or sac (maybe because the placenta is defective, the fetal brain is starved of nutrients, and so the person has a lower IQ when they grow up), twin studies would falsely read this identical-fraternal difference as genetic. Luckily this is easy to study; not all identical twins share a placenta or sac, so you can cleanly separate the effect of uterine environment from genetics. If you measure enough traits, you can find small deviations in some, but it’s not clear whether this is just multiple testing, and in any case the deviations are small. The best studies suggest this chips off somewhere between 0 - 3% from heritability estimates9. 3: There is little assortative mating: We discussed this one above in the earlier section on GWAS - smart/pretty/kind/whatever people tend to marry other smart/pretty/kind/whatever people. Why would this bias twin study results? Identical twins share 100% of their genes. Fraternal twins ought to share 50% of their genes - but they get half their genes from their mother, and half from their father. In the degenerate case where the mother and father have exactly the same genes (“would you have sex with your clone?”) even fraternal twins will be extremely similar (although not quite identical, since they’ll get different alleles from each clone). In the more plausible case where mothers and fathers are just a little more alike than chance (eg because smart people tend to marry other smart people), fraternal twins will share a genetic tendency towards a trait somewhat more than their 50% shared genes suggest. Since this makes fraternal twin pairs more (genetically) like identical twin pairs, and twin studies assess heritability as the difference in fraternal-identical-twin-pair concordance, this bias would make twin studies underestimate heritability. But this is the opposite of what you would need to “discredit” twin studies - if this bias is true, then everything is more genetic than twin studies think. And unlike the previous two biases, this one seems real and important, so much so that when you adjust for it, the heritability of educational attainment rises from ~40% to ~50%. I’m only mentioning this one here because some anti-hereditarians argue that you can’t trust twin studies because of assortative mating, without mentioning that this can only bias them down. 4: Population stratification: This is often large and worth worrying about, but it applies to identical and fraternal twin pairs equally, and doesn’t bias twin study heritability estimates much (though it might shift the balance between shared and non-shared environment). See eg the sentence around footnote 30 here. 5: Non-additive / “interaction” effects: These are theoretically interesting, but all research thus far has found they are minimal (1, 2). Some experts think this may miss rarer or harder-to-find interactions; we’ll return to this later. 6: “Genetic nurture”, parent-to-child Mentioned above: if there is a gene for reading books to kids, and reading books raises IQ, it will look like a “gene for IQ”. This isn’t as relevant to twin study estimates of heritability, since both identical twins and fraternal twins are equally related to their parents, and any trait caused by genetic nurture wouldn’t differ between them (and therefore would not falsely appear heritable in this design). Rather, they would appear as shared environment. 7: “Genetic nurture”, sibling-to-sibling That is, suppose your sibling’s traits influence your own development. For example, suppose your sibling has a gene that makes them sabotage your schoolwork, causing you to fail and drop out of school early. An identical twin would share this gene with their sibling more often than a fraternal twin, making it look like a “gene for doing badly at school” (since the people who have it do worse at school than those who don’t). Why are we even talking about this? Do we really think it’s a big part of the variance in behavioral traits? Challenging twin study heritability estimates through this route requires inhabiting a weird no-man’s-land where otherwise-invisible genetic and environmental pathways suddenly flare up when you say the magic words “it was done by a sibling”. For example, this requires a strong effect of shared environment - that is, your educational attainment has to depend on whether you’re being sabotaged or not. But in general, shared environmental effects are weak. And it requires a strong effect of genes - that is, this mechanism only works if your sibling’s tendency to sabotage you is highly genetically determined. But we’re deploying this claim to deny that traits like IQ or educational attainment are highly genetically determined. So to get much out of this, the tendency to sabotage siblings would have to be more genetic than other behavioral traits! The reason this convoluted possibility gets brought up so often is that, unlike the more plausible parent-to-child genetic nurture, twin studies can’t rule it out. So if you really want to deny twin studies, this is one of your best bets. But when investigated, this has effects indistinguishable from zero. I’ve been a bit mean in this whole section, because people really like to dismiss twin studies as “Oh, don’t you know, those depend on assumptions, I bet you never considered that assumptions might be wrong”, and then Gish Gallop you with different assumptions until you give up. But scientists have actually done a lot of really good work checking the assumptions and they mostly hold. An alternative way of validating twin studies (brought up by Noah Carl in this article) is to check them against their close cousins, adoption studies and pedigree studies. Pedigree studies investigate large family trees, and check how trait similarity decreases with genetic distance. They avoid twin specific biases (like different treatment of fraternal vs. identical twin pairs, or different prenatal environments), while adding others like assortative mating. Here are the heritabilities of IQ and EA found in pedigree studies10 (see footnote for sources and caveats, and see also here and here for somewhat similar designs): Adoption studies investigate whether adoptees’ traits are more correlated with their adoptive or biological parents. They avoid a large swathe of biases, at the risk of introducing new adoption-related biases of their own (like the possibility that agencies deliberately place adoptive children with parents who are culturally or behaviorally similar, or the possibility that adoptees were adopted late enough to still get some shared environment from their biological parents). Here are the findings of some of the largest and best11: Both straightforwardly confirmed the larger heritability numbers found in twin studies. I would add the evidence from some less formal “adoption studies”12. During residency, I spent a few months working in a child psychiatric hospital for the worst of the worst - kids who committed murder or rape or something before age 18. Many of these children had similar stories: they were taken from their parents just after birth because the parents were criminals/drug addicts/in jail/abusing them. Then they were adopted out to some extremely nice Christian family whose church told them that God wanted them to help poor little children in need. Then they promptly proceeded to commit crime / get addicted to drugs / go to jail / abuse people, all while those families’ biological children were goody-goodies who never got so much as a school detention. When I met with the families, they would always be surprised that things had gone so badly, insisting that they’d raised them exactly like their own son/daughter and taught them good Christian morals. I had to resist the urge to shove a pile of twin studies in their face. This has left me convinced that behavioral traits are highly heritable to a level that it would be hard for any study to contradict. Ultimate source here. Although the study is confusing about this, I think it’s trying to say that almost 90% of subjects were adopted before age 2. But I don’t think studies do contradict this. Given the degree to which their assumptions have been validated, and the level of confirmation from pedigree and adoption studies, I think they have earned a presumption of accuracy. Doubting the twin studies doesn’t seem like a promising route to reconciling the twin-vs-Sib-Regression/RDR discrepancy. What’s Going On? (Part 2: Is Something Wrong With Sib-Regression And RDR?) Sib-Regression is a clever way of avoiding most biases. Its independent variable - the degree to which some sibling pairs end up with slightly more shared genes than others - is even more random and exogenous than the difference between fraternal and identical twins. It can sometimes have biases related to assortative mating (which would falsely push heritability down), but otherwise it’s pretty good. RDR has many of the same advantages, and allows more diverse relationships and so larger sample sizes. It’s hard to think of ways these methods could be wildly off. There is one caveat: although RDR includes most of the rare and structural variants missed by GWAS, in theory it can miss certain ultra-rare variants which are so uncommon that they aren’t shared between some of the relative pairs used in RDR. De novo variants that occurred during the subject’s own conception would be in this category, if the subject didn’t have children or didn’t pass on that gene13. This seems like a pretty small subcategory of genetic variation, and I wouldn’t normally expect that much of importance to be hiding here, but maybe it’s more important than it seems. RDR also doesn’t include much variance caused by statistical interactions between genes. Although we said above that these are usually found to be insignificant, they might be more important in a trait like intelligence that has been under recent evolutionary selection that lops off easily-detectable sources of variance and leaves only the weird obscure ones behind. There’s limited ability for classical Mendelian dominance to affect common variants, but more complicated genetic interactions might still prove important. Overall these are strong methods, and their failure to converge is troubling. If forced to explain them away, we might tell a story like: So far, there is only one RDR study and a few Sib-Regression studies, so we should wait for more data before updating too hard.
Inline links: answer, The best studies, 9, seems real and important, here, 1, 2, when investigated, in this article, 10, here, here, https://substackcdn.com/image/fetch/$s_!b3LF!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc094f9c0-4c71-48cf-89dc-615498d94812_483x51.png, 11, https://substackcdn.com/image/fetch/$s_!XFWU!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F85f433e5-d141-47b7-8dc5-2271925032e9_483x102.png, 12, https://x.com/cremieuxrecueil/status/1935731422205010135, here, 13
Your Review: The Astral Codex Ten Commentariat (“Why Do We Suck?”)
July 26, 2025 · Original source
“Do you feel like you’ve shifted to less ambitious forms of writing with the new Substack?”, which dates the decline to 2021
“Do you feel like you’ve shifted to less ambitious forms of writing with the new Substack?”, which dates the decline to 2021 Quite a few people responded in the comments that Scott’s writing hadn’t changed, but it was the experience of being a commentor which had worsened. For example, David Friedman, a prolific commentor on the blog in the SSC-era, writes: A lot of what I liked about SSC was the commenting community, and I find the comments here less interesting than they were on SSC, fewer interesting arguments, which is probably why I spend more time on [an alternative forum] than on ACX. Similarly, kfix seems to be a long-time lurker (from as early as 2016) who has become more active in the ACX-era, writes: I would definitely agree that the commenting community here is 'worse' than at SSC along the lines you describe, along with the also unwelcome hurt feelings post whenever Scott makes an offhand joke about a political/cultural topic. And of course, this position wasn’t unanimous. Verbamundi Consulting is a true lurker who has only ever made one post on the blog – this one: Ok, I've been lurking for a while, but I have to say: I don't think you suck… You have a good variety of topics, your commenting community remains excellent, and you're one of the few bloggers I continue to follow. The ACX Commentariat is somewhat unique in that it self-styles itself as a major reason to come and read Scott’s writing – Scott offers up some insights on an issue, and then the comments section engages unusually open and unusually respectful discussion of the theme, and the total becomes greater than the sum of the parts. Therefore, if the Commentariat has declined in quality it may disproportionately affect people’s experience of Scott’s posts. The joint value of each Scott-plus-Commentariat offering declines if the Commentariat are not pulling their weight, even if Scott himself remains just as good as ever. In Why Do I Suck? Scott suggests that there is weak to no evidence of a decline in his writing quality, so I propose this review as something of a companion piece; is the (alleged) problem with the blog, in fact, staring at us in the mirror? My personal view aligns with Verbamundi Consulting and many other commentors - I’ve enjoyed participating in both the SSC and ACX comments, and I haven’t noticed any decline in Commentariat quality. So, I was extremely surprised to find the data totally contradicted my anecdotal experience, and indicated a very clear dropoff in a number of markers of quality at almost exactly the points Scott mentioned in Why Do I Suck? – one in mid-2016 and one in early 2021 during the switch from SSC to ACX. Setting Out the Case for Decline There’s a pretty basic question that needs to be answered before we compare the Commentariat today to that of yesteryear. That question is - does ‘the Commentariat’ actually exist? It is easy to understand what it means for Scott’s writing to have got better or worse over time, or to track the evolution of a specific commentor’s engagement with the blog. But in order to review ‘the Commentariat’ as a whole we would have to treat it as a single entity with discernible patterns and tendencies. I believe this approach is justified; the Commentariat has a distinct culture, voice and its own unique animal spirits that react to both Scott’s interests and the interests of the external world. Since it is not just generating random noise, it is possible to explore the Commentariat over time to build a case that its overall quality is declining (or not). To demonstrate this, I have displayed below a graph of comments per post across the lifetime of the blogs. It may not be quite fair to say that ‘engagement’ is the same thing as ‘quality’, but I certainly think it raises a question that needs to be answered; something massively affects comment engagement in 2016 and then again in 2021. In this graph, each datapoint represents a month that Scott has been blogging. A typical month will have between 15-20 posts, of which around half will be authored by Scott and half will be ‘authored’ in some way by the Commentariat, which are mostly Open Threads. I’ve averaged by month because certain types of post get much less engagement than others, and so looking at individual posts ended up too noisy to make attractive graphs (the true goal of any honest statistician). The SSC-era is highlighted in blue. You can see that it shows something a bit like a classic sigmoidal adoption curve (but wearing a top hat). Post engagement starts low, before rapidly shooting up in 2014-15. It peaks in April 2016 – which is highlighted in red in this and all subsequent graphs so you can track peak engagement - before dropping back to a steady level of around 400-600 comments per post for the next three years. Notably, the run of posts that most people regard as being the ‘Golden Age’ for Scott’s writing happens much earlier than peak engagement with the comments section. People disagree about where this run of exceptionally good posts in quick succession start and ends, but I think you could safely say it has definitely begun by the time of The Control Group is Out of Control (although I would date it a little earlier, personally) and ends with either The Toxoplasmosa of Rage or Untitled – basically 2014 has a high density of ‘important’ posts.
Inline links: writes, writes, this one, https://substackcdn.com/image/fetch/$s_!04Ny!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F67ab1e15-6e36-4500-8980-ad652af543c6_745x421.png, The Control Group is Out of Control, Toxoplasmosa of Rage, Untitled
Complexity of thought – Perhaps the most important feature distinguishing the ACX Commentariat from other, lesser, blogs is that some really smart people comment here and give novel and well-nuanced takes on a topic. If this ever disappeared it would not matter about any of the other three features, because the Commentariat would effectively be dead anyway. To me, these broad categories represent the unique and positive features of the SSC/ACX Commentariat, and the extent to which they are present is a reasonable indicator of comment section quality, especially if they are all present at the same timepoint and that timepoint happens to line up with peak engagement in 2016 (this is foreshadowing). To generate data on the ACX Commentariat, I scraped the comments section of every post Scott has made since 2013. The Old Ones whisper of a blog that existed before even Slate Star Codex, but since I’m not 100% certain we’re encouraged to talk about the older blog (and nobody dates the golden era of Scott’s writing to pre-2013 anyway) I kept my scraping to just the two websites we’re definitely allowed to talk about; Slate Star Codex (SSC) and Astral Codex Ten (ACX). The main points of failure with my scraping were Subscriber-only threads (which my algorithm virtuously refused to read as it wasn’t a subscriber) and battling with the Substack UI to get all the comments to load for me simultaneously on larger threads. Nevertheless, between my incompetent code and the jaunty Substack UI I only dropped a few comments on even very long threads, so I figured the data scrape would be adequate for the use-case I had for it. I then used a bunch more janky code (some written by me, some written by ChatGPT) to try and quantify the levels of depth, freedom, politeness and complexity of each comment. I captured 2460 individual posts, and approximately 1.8m comments. Of the 24,486 unique comment authors, around 40% have made only one comment to the blog. The most prolific poster is the irrepressible Deiseach, at 20,685 contributions. Deiseach is also the only commentor to have made a comment on both the first post in my sample and the last, so has been with the blog a very long time! Only one other commentor has made more contributions than Scott (11,249), and this is John Schilling (11,607). The quality of data on individual users is not great for the ACX era (Substack seems to record missing author data in a few different ways, and sometimes swallow data for no reason) but I’m happy to give the rank ordering of anyone else who cares to know their specific level of clout in this niche community - I myself am the 799th most prolific contributor to the comments section (225 comments). I’m also delighted to share my raw data with anyone interested – the summary statistics per post are here. The scraped comments themselves are about 2Gb so I don’t know where I can host them but if anyone has any ideas (and Scott doesn’t mind) I’ll share them too. I know that some of the post titles seem to have turned into hieroglyphics, but as far as I can tell it is cosmetic only and won’t affect any of the actual data – it is a symptom of a cool hidden feature of Microsoft Excel where it open UTF-8 encoded CSVs in a way that garbles special characters for no particular reason. Considering each of these factors in turn: Depth of engagement with a topic
Inline links: first post, the last, here
Suddenly, Trait-Based Embryo Selection
July 31, 2025 · Original source
Last month, a startup called Nucleus took the plunge. They had previously offered 23andMe style genetic tests for adults. Now they announced a partnership with Genomic Prediction focusing on embryos. Although GP would continue to only test for health outcomes, you could forward the raw data from GP to Nucleus, and Nucleus would predict extra traits, including height, BMI, eye color, hair color, ADHD, IQ, and even handedness. Sample Nucleus results. And this week, Herasight4 entered the space with the most impressive disease risk scores yet, an IQ predictor worth 6-95 extra points, and a series of challenges to competitors, whom they call out for insufficient scientific rigor. Their most scathing attack is on Nucleus itself, accusing its predictions of being misleading and unreliable.
Inline links: Nucleus, https://substackcdn.com/image/fetch/$s_!AhRe!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F2fe46636-0881-4fc1-bdff-6857df00acbe_817x585.png, Herasight, 4, 5
Sample Nucleus results. And this week, Herasight4 entered the space with the most impressive disease risk scores yet, an IQ predictor worth 6-95 extra points, and a series of challenges to competitors, whom they call out for insufficient scientific rigor. Their most scathing attack is on Nucleus itself, accusing its predictions of being misleading and unreliable.
Inline links: Herasight, 4, 5
Sample Nucleus results. And this week, Herasight4 entered the space with the most impressive disease risk scores yet, an IQ predictor worth 6-95 extra points, and a series of challenges to competitors, whom they call out for insufficient scientific rigor. Their most scathing attack is on Nucleus itself, accusing its predictions of being misleading and unreliable. Let’s start with the science, then move on to the companies and see if we can litigate their dispute. In Theory, All Of This Should Work Polygenic embryo screening is a natural extension of two well-validated technologies: genetic testing of embryos, and polygenic prediction of traits in adults. Genetic testing of embryos has been done for decades, usually to detect chromosomal abnormalities like Down Syndrome or simple single-gene disorders like cystic fibrosis. It’s challenging - you need to take a very small number of cells (often only 5-10) from a tiny proto-placenta that may not have many cells to spare, and extract a readable amount of genetic material from this limited sample - but there are known solutions that mostly work. But most traits are polygenic, requiring information about thousands or tens of thousands of genes to predict. These are too complicated to understand fully at current levels of technology, but some studies have chipped away at the problem and gotten a partial understanding. Often this looks like being able to predict a few percent of the variance in a trait, and determine whether someone’s genetic risk is slightly higher or lower than average. Polygenic prediction of traits in adults is still young and full of hidden pitfalls. Last month, we discussed how some early studies unknowingly conflated direct genetic effects and various confounders6 - for example, they tended to pick up on genes associated with well-off ethnic groups or families who had good health outcomes for social reasons. Pinpointing the direct component requires an additional step where researchers validate their algorithms within families (for example, on pairs of siblings where one has a higher polygenic score than the other) to see how much predictive power remains. This is especially important for embryo selection companies, whose entire value proposition depends on comparing two genomes from the same family. How have they done? It depends on the number of embryos they have to work with; the more embryos, the better you can do by selecting the best. Herasight’s numbers on how breast cancer risk goes down with number of embryos used in selection. A typical round of IVF produces 1-10 embryos (younger women usually = more). Women with polycystic ovarian syndrome (prevalence: 10%) may get as many as 20. For more, you will probably need to do multiple IVF rounds. Here is a table of different companies’ reported risk reductions, slightly adjusted7 for different reporting conventions but otherwise taking all claims at face value (we’ll talk about how wise that is later). Relative risk reduction for five conditions (gray = no data / disputed data). Here baseline is for embryos neither of whose parents have the condition. GP and Orchid both say their technology has improved since reporting these numbers and they will report better numbers soon. GP numbers are not within-family validated and might be lower if they were. Absolute risk after selection for five conditions (gray = no data / disputed data), ibid. Some people might genuinely want to select on a single condition. For example, people with a strong family history of schizophrenia might want to minimize the chance of their children getting the disease; for these people, reducing schizophrenia risk by 58% (while keeping everything else constant) sounds pretty good. Everyone else probably wants a generically healthy embryo with low risk of all conditions. Exactly how this works depends on the customer’s own values - would they prefer an embryo with lower cancer risk to one who will have fewer heart attacks? - and the exact benefits will depend on how parents make that decision. Genomic Prediction and Herasight try to help by providing semi-objective measures of which embryo is overall healthiest according to different conditions’ effects on longevity and patient-rated quality of life. For Genomic Prediction, that’s the “embryo health score” If you selected the single highest-health-score embryo from a set of five, here’s how they’d do: For Herasight, it’s a “polygenic longevity index”. They don’t give exact risk reduction numbers for each disease, saying that it depends too much on a couple’s specific family history, but say that most people gain 1-4 years of healthy life (when I test it on a set of twenty embryos, the the healthiest gets an extra 1.66 years). How much would you pay to give your children an extra 1-4 years of healthy life? This is no longer a hypothetical question. Here are the costs of the companies in this space: Is it worth it? If: You’re already doing IVF
Inline links: Herasight, 4, 5, 6, https://substackcdn.com/image/fetch/$s_!VOdq!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fb1ba32f3-72fa-4be1-846c-6b0b04a5a213_774x279.png, 7, https://substackcdn.com/image/fetch/$s_!0oUh!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fe8419603-9239-43bb-8c79-77b078ff0789_548x136.png, https://substackcdn.com/image/fetch/$s_!rpEJ!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc539a717-a130-460d-90c9-4ab64619f26d_548x133.png, https://substackcdn.com/image/fetch/$s_!3Kc6!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fbda325bb-13fb-4c27-b8c3-24facce5c71a_676x153.png, https://substackcdn.com/image/fetch/$s_!t1Am!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F831ab3c6-4053-4ff9-bc2f-879aee4349cf_673x740.png, https://substackcdn.com/image/fetch/$s_!Q2vE!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fadcf2bb4-8dd1-4a88-9728-6953a820971b_422x575.png
Should Strong Gods Bet On GDP?
August 05, 2025 · Original source
Francis Fukuyama is on Substack; last month he wrote Liberalism Needs Community. As always, read the whole thing and don’t trust my summary, but the key point is:
Inline links: Liberalism Needs Community
The Fatima Sun Miracle: Much More Than You Wanted To Know
October 01, 2025 · Original source
Now its fame has reached Substack. Ethan Muse presents the case in favor, and Evan Harkness-Murphy the case against, with additional commentary from Dylan and Bentham’s Bulldog. I don’t think any of them have risen to the occasion. Ethan observes the formalities of good debate, but presents such a neatly-packaged story that readers are liable to miss the thousand little threads that trail off the bottom and lead places that are, if anything, even stranger than the original miracle. Evan puts admirable effort into arguing that child-seers could have non-veridical visions, but by the time he gets to the sun miracle itself, he has only a few potshots about crowd psychology and “optical phenomena”. Other skeptics are even worse, barely gesturing at Evan’s piece before redirecting their attention to boasts about how they have totally demolished the credulous fundies, or laments about how cosmically unfair it is that they must take time out of their busy schedules to respond to such idiocy. The final boss of the paranormal deserves more respect!
Inline links: Ethan Muse presents the case in favor, Evan Harkness-Murphy the case against, Dylan, Bentham’s Bulldog
We will try to at least do better than the other Substackers. But as a stretch goal, I would like to actually advance this 108-year-long conversation.
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
Open Thread 403
October 13, 2025 · Original source
This is the weekly visible open thread. Post about anything you want, ask random questions, whatever. ACX has an unofficial subreddit, Discord, and bulletin board, and in-person meetups around the world. Most content is free, some is subscriber only; you can subscribe here. Also:
Inline links: subreddit, Discord, bulletin board, in-person meetups around the world, here
2: The following people still haven’t responded to my email asking them to accept their ACX grant - Lewis W, Alejandro A, Nishank B. If you tried to respond but it didn’t reach me, DM me on Substack or Twitter. Do it quick, or I will include / not include you on the announcement post based on your original privacy preferences.
3: All Non-Book Review finalists and honorable mentions (list at #3 here) should have gotten an email asking you to send me your bios for the announcement post. But I have only gotten 6/20 responses. If you didn’t get it, check your spam folder for scott@slatestarcodex.com. If you still didn’t get it, email me. If I don’t answer, DM me on Substack or Twitter.
Inline links: list at #3 here
ACX Grants Results 2025
October 13, 2025 · Original source
Of the 42 grantees, 40 have answered our email asking for confirmation that they still want the grant. I’m still waiting for confirmation emails from Lewis Wall and Nishank B. If you’re reading this and don’t think you got a confirmation email, check your spam folder. If it’s not in your spam folder, email me at scott@slatestarcodex.com. If you can’t reach me or I don’t respond, DM me on Substack or Twitter. I’ll give you until November 1 to get in touch, after which point the grant will be withdrawn. There are also a few projects so deep in stealth I don’t have permission to share their existence; I will mention these as they become public.
JD Bauman, $40K, to help fund Christians For Impact. Christians are a large and charitably-inclined demographic, but tend to bounce off the effective altruist movement after we start talking about becoming bodiless immortal machine-gods. JD and his team of Christian EAs network with churches and introduce them to everything else - all the ideas about how to realign one’s life around helping people in need. They have a blog, a career counseling network, and a conference that recently scored a guest appearance by the Archbishop of Canterbury. Our grant helps them publicize and expand their career counseling work.
Inline links: Christians For Impact, blog, career counseling network, conference
Non-Book Review Contest 2025 Winners
October 17, 2025 · Original source
1st: Joan of Arc, by William Friedman. William is a history enthusiast and author who lives in California, where he spends his time reading, writing, GMing, playing video games and telling people excitedly about all the horrific stuff he learned in his latest history book. His fiction blog is Palace Fiction (which is currently serializing his first novel, The Tragedy of the Titanium Tyrant) and his nonfiction blog is As Our Days.
Inline links: Joan of Arc, Palace Fiction, As Our Days
2nd: Alpha School, by Edward Nevraumont. Edward also wrote one of last year’s finalists (Silver Age Marvel Comics)1. Now that he’s no longer anonymous, he’s going to write a post on his blog responding to the review comments (712 of them!), as well as a follow-up post on what he has learned about Alpha in the six months since he submitted his review (including the Spring and Fall MAP results for his kids). Here is the landing page with more details for ACX readers who are interested.
Inline links: Alpha School, Silver Age Marvel Comics, 1, landing page
Dating Men In The Bay Area, by Alex King. Alex is an engineer from San Francisco. She’ll be experimenting with more essays on her new blog, King of Daydreams. When she’s not igniting turmoil in the ACX comments section, she can be found mentoring young engineers, hosting community events, and failing to find a boyfriend. She pinky-promises she is not Aella.
Inline links: Dating Men In The Bay Area, King of Daydreams
Highlights From The Comments On Fatima
October 24, 2025 · Original source
The spirograph reference here is interesting, because the Baron de Alvaiazere, one of the Fatima witnesses, described what he saw via a spirograph-esque drawing: I didn’t mention it in my post because it seemed to be an extraneous detail, but this reader seems to have independently noticed something similar.
Inline links: https://substackcdn.com/image/fetch/$s_!loTC!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F243325ba-4a69-4dc4-9d5a-a70ab15b7505_757x893.png
I didn’t mention it in my post because it seemed to be an extraneous detail, but this reader seems to have independently noticed something similar.
I didn’t mention it in my post because it seemed to be an extraneous detail, but this reader seems to have independently noticed something similar. 3: As a child, I was on many boring car rides with no one to talk to. I would stare out the window often, and occasionally, just at the sun. I would do this -specifically- because of this phenomenon- I had always assumed everyone knew/understood this was something that happened. It was surreal reading it described as a mystery. The way it would appear to me is that if I stared at the sun long enough (through a glass car window), there would appear a very strong blue after image (light blue- as a child, I thought it similar to the color of Neptune/Uranus as shown in books). This after image would be the same size as and almost- but not quite- line up with the sun. It would then proceed to circle the actual sun. The image was very crisp, but the movement was not- moving in a sort of ‘pulse’ (imagine very slow animation, the image not smoothly moving but jumping from one position to the next to give the illusion of movement). This movement was centered roughly around the sun, but since the image was offset it gave an appearance of ‘corkscrewing’ or spinning, not a perfect circle (that is, the image overlapped the center of rotation, rather than rotating around it). The circling would continue some time (as a child I remember thinking it went for a long time, as an adult I would guess in reality it was only some seconds, certainly less than a minute), and would end when I either looked away or the sun became too bright and I was forced to shut my eyes … What made me realize this is definitely, in my mind, the same as being described is because as a child I was convinced the image was falling- I did not, as a child- think it was the sun itself, but thought that it might be the planet Neptune (because it was blue and a large orb (appearing as a disc to the eye) somewhere, presumably, in space). But as said, I was at the time concerned it was falling, and would occasionally badger my parents about it- whether it was possible the blue orb I saw in front of the sun was Neptune, and if so whether it was going to hit the earth because it looked like it was coming towards us. I understood it wasn’t something you would see if you just looked at the sun- rather in my child mind, I assumed it was in some way that staring at the sun let me see more clearly things around it, though as I grew older I increasingly understood the image to likely be caused by staring, rather than revealed. I remember as a child sort of knowing it was an afterimage but also that it was much sharper and more clear than most afterimages. 4: I was in a room at the boarding school I used to attend, looking out through the window. I recall it being low in the sky but circumstancially it would have been midday (so I presume winter months, since I don’t recall thinking that was unusual). The sky was fairly clear. I stared at it for what felt like three minutes at the time but was probably in hindsight 45 seconds. I was a bored child (probably about eight or nine) left alone in a room and it seemed like a fun idea to stare at the sun. The sun seemed to become covered by lots of large irregularly shaped black-brown spots, with the light itself shining from cracks between them. It looked kind of like a simplistic video game lava texture. 5: I was looking at the sun because I was young and stupid. It stopped shining but remained white, except for a few sunspots that could be seen by the naked eye and which indicated the sun was rapidly spinning. There were no other unusual experiences. 6: On several occasions outside I have seen my entire visual field become tinted various colors. Ever since I heard about eye fatigue and after-image based illusions I explained this to myself as it being very bright out and the color tint being from my green being worn out (making everything pinkish) or my blue being worn out (making everything greenish yellow). Unlike typical afterimages which had particular areas in my field of view, these were almost always across my entire visual field, with occasional hot spot areas where deeper afterimages existed. On each of these occasions it has been bright out and once noticing it, unless I have gone inside, it progresses between colors, though I can’t remember any specific order, only that pink is what I remember most frequently. Lasts until I go somewhere darker or the sun is covered by clouds for a while. Including as an aside, since its beyond the event, but relevant to optical experiences, I have a history of staring out into space without realizing it, failure to blink to the point of eye redness and wateriness, falling asleep with my eyes open, and distractedly looking at bright things for long enough without noticing that I develop a disruptive after image for a while after that makes it hard to read. These things make my baseline for having stared at the sun or not squinted enough on a bright day higher, and, to me, seem to explain why these things happen to me on bright days without clouds or rain, since the cloud protection wouldn’t be a necessary factor in my brightness exposure. i wanted to share since this seems like a difference in some part from the sungazers (who saw auras specifically around the sun) but which matches some of the accounts of the Fatima incident. 7: As a kid, I would stare at the sun sometimes (I eventually abandoned this after I got a headache from doing it; I don’t know whether this has caused any of my minor eye problems later in life), and it would usually resolve to a discolored disk “swirling” slowly around the bright outline of the sun. I assume this is what people mean when they say the sun was “spinning”, although I’m not completely sure. I do not believe I was primed to see something interesting, since I grew up in a nonreligious household and nobody talked to me about sungazing; I only did it because people told me not to stare at the sun for very long. 8: There was an upcoming eclipse when I was a kid and all the talk about “don’t look at the sun” was a temptation I could not resist. I stared at the sun at least a couple of times, but somebody caught me doing it (I think my mother but I do not remember in detail) and made me stop. It was very much like the Fatima miracle people describe—in fact I was a bit confused when I started reading your post because it was immediately clear to me that this is just what it looks like when you stare at the sun (or I guess, under some circumstances?). I did not realize until now that this was a rare or special experience. From what I recall, the rim of the sun remained sharp and bright, but within the circle, the color changed the longer I looked. It had a silvery, almost liquid appearance. I remember the spinning vividly, but it felt to me like it was an illusion happening because of small eye movements, and by shifting my eyes a little bit I could exaggerate or lessen the movement. I could see bright color changes too, around the edge and as afterimages or “tracers” after moving my focus. The “falling to earth” description seems pretty similar to how I remember the tracers appeared when I looked away. I do not remember exactly how long I looked, but I would guess perhaps 1-3 minutes at a time. 9: My mother and sister went sun viewing in ~2009. It was a six-to-nine months long fad in southern Minas Gerais (São João del Rei diocese), Brazil. People reported seeing Jesus and Mary in the sun, and that it spun. No reports of it changing color, though. I dont know the logistical details, who organized these outings (I was indeed just a child, my mom also didn’t care enough at the time to ask things like that). It was a series of monthly weekend mystical appearances that occurred in a bunch of different small cities, attracting, in a rough guess, 500 to a thousand pilgrims each. Always in a rural location, sometimes near small chapels. They did not charge money for the viewing, I believe only the transportation people made a profit. My sister remembers being very hungry, as they didn’t serve (or sell) food at the place, and it went from morning to sundown. My father was a complete skeptical; my mother, extremely Catholic, did not question its veracity: it was just something religious to do, and religion is good. The practice died that same year, because the local Bishop was hard against it, forbidding it. My sister didn’t see anything. My mother also saw nothing, but left feeling spiritually in peace, a very positive sentiment. 10: I used to be very confused about why the sun was portrayed as yellow, because I had looked directly at the sun (I don’t recall how many times; perhaps only once, and I was pretty young), and the sun was clearly bright pink. My default mental image of the sun is still that of a bright pink disk. It did not change colors or move or do any of the other exotic things mentioned in your post. 11: As a kid (maybe 10-13?), I would stare into the sun repeatedly for the weird experience of overexposed eyes. I’d never heard of the Fatima miracle prior to your article, but parts of it seem completely normal to my experience. The center of the sun soon stops looking intolerably bright, and instead seems like a disc of metal of an uncertain color. Its apparent color irregularly shifts between purple, silver, blue and green. My interpretation at the time was that my eyes were probably unable to strongly identify the color, because if I told myself that I expected it to be silver, it would normally be seen as silver. I have to emphasize how non-radiant the center of the sun appears at this point; it looks more like an object illuminated by the sun than like a light source But the outer rim of the sun remains bright. I assume this is because those parts of the retina have not been completely overexposed, and so can still give accurate signals that they’re receiving a ton of light. And the exact amount of ‘bright outside’ and its exact location on the sun varies a lot based on small eye movements; the central disc can appear to shift around and grow/shrink slightly in the sun. In short, the descriptions of the sun as a silver or pulsating multi-colored disc with fireworks on the outside seem entirely normal for “sungazing” for me. I did not see: 1) Rotation 2) The sun falling to earth and looking like it’s going to crush me 3) Any apparitions of people 12: Outside my home, I would frequently stare at the sun for long periods, between the ages of (young, my memory goes back to 4-ish) and 7. I would stare at various times of day — noon, sunset, etc. I wasn’t looking for anything in particular, just curious. I had a habit of staring for long periods at everything around me. The sun appeared various colors on first looking at it, most commonly orange or yellow. On closer inspection, this turned to white. Then shimmery blue patches would appear in the white, always touching the edge, which would appear to spin and reverse quickly. This impression of a blue-white rapidly spinning sun was observed reliably whenever the sun was far enough above the horizon on a clear day. It would continue as long as I looked at the sun. I think I would look for several minutes at a time; less than an hour. (Among my family and friends I was well known for ‘blanking out’ and staring at things for long periods.) As far as I was aware, it was not an ‘optical effect’, just the sun’s normal appearance. I had no impression of the sun falling to earth. I was a very imaginative child with many imaginary friends, ufo sightings, and mysterious experiences. I don’t remember anything imaginative, visionary, creative, etc. associated with looking at the sun. It just seemed like a straightforward observation, like many I made. In later years, I have often observed, as you have, conditions of mist, cloud, rain or (most memorably) snow or ice, which allow the sun to be seen easily as a silvery round disc like the moon. Outside of these conditions, sunrises, and sunsets, I don’t look at the sun anymore, and have never had any vision damage i know of. 13: I’m less stupid than I used to be, but when younger would sometimes look at the sun out of curiosity. I also spent much too much time lighting things on fire with a magnifying glass. So this is not so much “I saw a miracle” as “here are my general notes from looking at the sun”. The silvery sun thing is something I can attest to. At first the sun is too bright to look at, but after a couple of seconds it goes silvery and is more bearable. A slightly twirling of the sun is also something I’ve seen. It’s more like a rotation of its black border? Something like if you’d make a drawing of the sun with a black pen and then coloured it in with yellow (or whatever), the border (i.e. the black ink of the pen) rotates? This doesn’t make sense when I describe it like that, but my brain sees it twirling. I don’t recall colour changes other than everything looking washed out. 14: The first [time I saw it],(before I knew about Fatima) was in summer (I think August). The sun was setting (about an hour before sunset), and I saw the sun change color (alternating blue and pink with an apparent rotational motion around its center, like a Catherine wheel). I don’t remember if it was obscured by clouds. I don’t remember how long the event lasted. After discovering the Fatima event, I decided to personally verify the hypothesis that it was a natural phenomenon due to temporary vision changes. During September 2022, on a couple of occasions, in the early afternoon, while the sun was obscured by translucent clouds, I saw color changes (alternating blue and pink), a rotational motion (like a Catherine wheel), and the sun oscillating (as if vibrating or moving rapidly in a zigzag pattern). On both occasions, the event lasted about a minute, as I then had to look away due to discomfort. On only one occasion, after a heavy rain, and much later (around 5:00 PM), I managed to gaze at the cloudless sun, and only for a few seconds. I saw the same phenomena as when it was covered by clouds, but following this occasion, an afterimage appeared in the center of my field of vision that remained for a couple of days (the afterimage was not severe enough to prevent me from carrying out my activities, including reading and writing, and once it disappeared, I did not suffer any permanent damage to my vision). I must admit that, with the exception of the first case, I had to force myself to look at the sun, as a slight discomfort was present from the first few seconds. In the above cases the edge of the solar disk was not blurred. These were the best of 45 answers. Most of the rest saw normal afterimages, or wanted to say that they, too, had seen the sun look like a pale full moon behind clouds, or saw weird things in the sky that didn’t seem Fatima-related. Interview With A Medjugorje Witness One person filled out the form to say they had seen the miracle at Medjugorje, and kindly agreed to anonymously answer followup questions: SA: Tell me what happened. MW: I was in Medjugorje, I don’t remember the exact year but late 90s or early 2000s. This was not at the same time as one of the apparitions. We were outside, I think in the evening in summer (6pm maybe) Some people pointed out the sun, which was low in the sky, maybe just above eye level from our vantage point, nowhere near setting. Me and my mum looked at it, and it was spinning and pulsing, almost throbbing. I always compared it to a Catherine Wheel before even knowing it was a common comparison, it matched the way it was almost violently moving at risk of leaping off its axis. It changed colours, like it was having a filter passing over it. Not a smooth gradient change but as if a coloured lens was moved over it. There were points it had two or more colours over different sections. I don’t remember the exact colours but it included deep sunset reds, when the sky was high over the horizon. There wasn’t any pain or discomfort from looking at it. Eventually it stopped. The reaction from the people I was with was more quiet awe. Oddly subdued for such a strange moment! We didn’t discuss with others there, as we didn’t speak the same language. I don’t remember any other visions or apparitions. I was a believer at the time, so I was quite sensitive to what I felt were spiritual experiences, but I didn’t encounter any others on this trip. My mum has had other spiritual experiences there, including what she says was a vision of Mary in the 80s which was seen by herself and several others. I’m an atheist these days, and obviously don’t put much stock in the Marian appararitions in Medjugorje now. For instance, it seems the fire and brimstone idea of hell was a Renaissance invention, and the looming end times dynamic has been a constant across many religions. But the sun miracle remains a completely unexplainable experience! SA: What led you to go to Medjugorje? When you set off, did you know about sun miracles? Was there an expectation of seeing one? MW: My mum took me. She’s been on quite a few occasions over the years and took me there on 2/3 occasions. I didn’t know about sun miracles happening there and had no expectation of seeing any. I was aware of the Fatima sun miracle. And my mum often watched quite dramatic, apocalyptic VHSs with meteors falling from the sky etc, so I had a finely developed sense of imminent supernatural events! SA: How long did you spend in Medjugorje before seeing the miracle? How long did you stay afterwards? Did you make multiple attempts to see the miracle before it happened? Did you try to see it again afterwards? MW: I think the trip was 7-10 days. It happened in the second half of the trip, 2-3 days from the end maybe. I definitely kept an eye on the sun when it approached a similar time of day. Now I look into it, the daily apparations were at 6.40pm, I don’t remember if that was the exact time of the sun miracle but it would have been close to that time. I came back to Medjugorje with my mum as a teenager and brother, nothing happened that time! SA: Did you get any chance to talk to other people in Medjugorje, either pilgrims or locals, and gauge what percent of them had seen the miracle, or how many times they had seen it? MW: I didn’t get to discuss with anyone. A short “wow did you see that” with my mum, but it’s not even the weirdest thing she’s seen there given she thinks she saw Mary appear. SA: When people gestured to you to look at the sun, did you see the miracle immediately, or did it take you a while of concentrating and straining? If the latter, how long? MW: I remember it being fairly immediate. Obviously I had to look at the sun, as it’s not like the surroundings were going disco coloured, it didn’t affect the actual light the sun gave off on my surroundings. But I don’t remember staring at a normal looking sun for any period before the effect started. It was wobbling and spinning right away, although the colour changes may have come after the violent spinning. SA: Having [now] read about the theories that it’s just afterimages, or illusions, or something like that - does that accord with your experience? Does it feel like you just saw minor perturbations that could have been illusions? Or did it seem perfectly clear, totally beyond the ability to be an illusion? MW: It felt completely beyond any possibility of it being an illusion. It was too instantaneous, and the effects too strong. No clouds or signs of interference over the sun. And someone else drew my attention to it! For afterimages specifically, they still have that very strong searing quality, which wasn’t a factor here in the same way. SA: Did it look like it looks in the videos linked in the post? MW: No, it didn’t bear much resemblance to the videos. The pulsing wasn’t present with what I saw. Violent spinning and colour changes only, and an effect kind of similar to an eclipse initially that changed to colours changing, but not in the same fashion as an afterimage. SA: Can you tell me more about being an atheist? How does this mesh with you having seen a hard-to-explain miracle? MW: I just gradually became disillusioned with Catholicism. My mum is very devout and pushed it very hard on me, so there’s a strong aspect of teenage rebellion. Fundamentally, I couldn’t reconcile the existence of the kind, loving, individually interested God I’d been taught about with the world as I came to see it (partly the problem of evil, partly seeing the gap between OT and NT as signs of scripture being a historical construct). So either God didn’t exist, did in a form that I had no respect or interest in. The sun miracle was a major reason I called myself agnostic for a very long time. To this day, I can’t explain what happened. I just accept that certain, supernatural appearing, phenomena can occur which we can’t explain. Now I’ve stopped believing such things are possible, they’ve stopped happening. Which I’ve taken as evidence that there’s some degree of self induced receptiveness, like shamanist practices, at play. Although I know the counterargument would be I’ve merely closed myself off from God. SA: Thank you. Ethan: It Wasn’t The Sun Ethan Muse, who wrote the original pro-miracle post that started this discussion, responded to me here: It Wasn’t The Sun. His main goal remains supporting Dalleur’s assertion that Fatima was an objective miracle, implemented through a fiery object which was not the real sun (and therefore cannot be explained by the sun giving people afterimage-related hallucinations), and which was seen by many distant witnesses (and therefore cannot be explained by suggestibility). I won’t answer every one of his objections, both in the interests of time and because I don’t have good answers to every one of his objections, but some highlights: 1.1.1: Cloud Dimming In my original post, I was unimpressed by the “miracle” of people seeing the sun very clearly (including the sharp outline of the solar disc) without being blinded, because I had seen this myself regularly, when the sun was partly dimmed by clouds. Some of the Fatima witnesses had said it couldn’t be clouds, because the disc was visible very clearly rather than the foggy appearance you would get from - well - fog, but I insisted this didn’t update me, because I myself had seen the disc clearly through cloud cover. Ethan says I must be mis-remembering, because my claimed experience is physically impossible: The luminance of the solar disc at its zenith is on the order of 10⁹ cd/m².1 The maximum luminance that an on-axis, compact source can have without causing observers to experience discomfort glare is on the order of 10³ cd/m². Bringing the Sun’s luminance down from 10⁹ cd/m² to 10³ cd/m² requires an attenuation factor of 10⁶. By Beer’s law, that presupposes clouds with an optical depth of roughly 14. When obscured by clouds that thick, the solar beam is essentially extinguished. All that reaches observers is light that has undergone multiple scattering within clouds, emerging from many directions rather than straight paths from the solar disc. The solar disc is reduced to a bright patch or vanishes entirely. Why does Scott have the impression that he has stared at the Sun while it was veiled by thin clouds without experiencing discomfort? It is possible that he is remembering episodes where he briefly glanced at the Sun when it was low on the horizon. Even then, however, luminance should have exceeded the comfort ceiling. Another possibility is that he is accurately recalling that the Sun appeared to be pale, but is forgetting that he squinted, experienced discomfort glare, and/or diverted his gaze. Against this, I posted a Discord poll in which 13/16 respondents agreed they had seen the same thing. After my post, people in the ACX Discord channel independently replicated the poll, with the following results: The Discord comments were pretty interesting, because some people said they could imagine this happening during a forest fire or something - and other people said no, what were they talking about, this happened all the time with totally normal clouds. It really does seem like there’s a pretty sharp distinction between people who recognize and don’t recognize the description. Some people chimed in on the comments of the main post, or the form I set up for people who wanted to send reports, saying the same. From Measure: I have seen the [thin clouds make the sun easy to look at with a crisp edge] phenomenon many times (midwest US, usually early in the morning, but occasionally nearer midday). From a respondent to my survey: I have not seen the sort of behavior described, but I just wanted to say that when there’s just the right amount of cloud cover I can *definitely* look at the sun without my eyes hurting, and it looks like a dull silvery-grey disc. I happen to catch the sun like this every few months (I live in New England), peer at it for a few seconds to see if I can make out sunspots with the naked eye, then think better of my eye health and look away. It’s really weird to me that some people you asked had never experienced this. I thought it was a mundane, normal thing everyone knows! How do we square this with Ethan’s claim that this is impossible? I have no expertise in optical physics and cannot begin to comment on this. GPT-5, after I attempt to give it a neutral prompt that doesn’t reveal which side of the issue I’m on, says that the disc-like sun is possible, and Ethan is wrong because “Cloud droplets are large (Mie regime) and have a strongly forward-peaked phase function. Even when they dim the Sun a lot, they don’t behave like a perfect diffuser”. I don’t know what this means or whether it’s actually a good response. I welcome input from human physicists in the comments. In a private conversation, Ethan continued to assert that I was misremembering, and that all the Discord users and commenters who agreed with me had been contaminated by my testimony and become victims of suggestibility. I think this is a pretty crazy point to suddenly convert to the doctrine of eyewitness fallibility, contamination, and suggestibility - but I leave further discussion to people who understand optical physics. Despite believing I’m right on this factual point, I’m no longer sure it matters - some of the Medjugorje pilgrims say they saw the miracle in a completely clear sky, and that while it was happening it didn’t hurt to stare at the sun. 1.1.2: Eyewitness Testimony Ethan takes issue with my citing Fatima expert Stanley Jaki’s claim that “the great majority of eyewitness accounts, and certainly the most important ones, contain emphatic references to the continued presence of clouds.” He says that: Scott neglects the fact that those ‘emphatic references’ both explicitly and implicitly contradict his proposal . . . Sampling from Scott’s collection of testimonies from 60 eyewitnesses, I found 15 statements that unambiguously describe the behavior of clouds during the event. All of them confirm that, although clouds were present and sometimes passed in front of the ‘Sun,’ cloud coverage was partial, nonuniform, and intermittent. I agree with Doug Summers Stay’s proposal that: I don’t see any mention here of different layers of clouds. It is possible to have both cumulus clouds and cirrus clouds at the same time, so what we think of as “clouds” part and behind them is another layer of clouds blocking the sun. It seems to me, especially from watching the videos and videos in the comments, that there is some rare kind of clouds, perhaps caused by high ice crystals, that can produce a variety of optical effects: motion, changing color, and changing size. That this should happen at a time when a lot of people are looking at the sun expecting something to happen is a big coincidence, but in the end only a coincidence. On this model, there was a thick layer, obvious as clouds to the observers, which had been producing the rainstorm, and which cleared just before the miracle. There was also a thinner layer, which dimmed the sun but didn’t hide it, and which was sometimes - but not consistently - reported as clouds by witnesses. Many witness testimonies say that, although the main layer of clouds had cleared, there was some kind of veil over the sun. O Seculo: The sun had a kind of veil like transparent gauze so that eyes could gaze at it. Almeida describes the sun as …a disc of smoky silver. Compare to our photo of the sun filtered through clouds: From Domingos Pinto Coelho: The sun, until then concealed, showed itself among the clouds that moved fairly fast. Because their density was variable, the veil which they threw over the king of stars was diaphanous. Like the multitude, we then looked toward the sun with rapt attention, and through the clouds, we saw it under new aspects. From Nascimento e Sousa: The sun, which was surrounded by clouds, trembled hesitatingly…I saw there a very pronounced yellow color, and it seemed to me that I saw a silver color beneath the solar disc, but I don’t guarantee that. From Maria de Campos: We started to see the disk of the sun, and see it clearly against the dark gray layer which covered the entire sky…we saw something like a silver-lined veil, with a round shape, as if it were a full moon. Again, I’m not sure this matters, since some of the later miracles were in a clear sky. 1.1.3 - Inconsistency Ethan points out that if the sun were partially veiled by clouds, to the point where it was not too bright to stare at, then it presumably also would not bright enough to produce weird entoptic phenomena and hallucinations. When we discussed this, I had no better solution than to say that maybe there was a level of brightness which was dim enough to look at, but still bright enough to produce phenomena/hallucinations. But again, I’m no longer sure this matters. Many people in the comments to the original post report staring at the completely-non-veiled sun without feeling pain or having negative effects, many Medjugorje pilgrims say they saw the miracle in a completely clear sky without pain, and fire kasina practitioners can get imagery/phenomena from looking at dim or medium-brightness lights. I agree with Ethan that the sun at midday is so bright that it’s painful for me to look at for even a fraction of a second, and I don’t understand how so many people are saying they stare at the sun for minutes at a time at any time of day just because they’re bored. 2: Distant Witnesses Ethan was able to find more medium-distant witnesses than I could: The two witnesses at Alburitel, who I thought were in the same group, were actually in two different groups (is it surprising that our only witnesses from each of these two groups are each other’s brother?)
Inline links: It Wasn’t The Sun, https://substackcdn.com/image/fetch/$s_!iQhN!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7a99a023-dcb0-4cb2-98ef-e0800fc7b5a3_1107x174.png, https://substackcdn.com/image/fetch/$s_!x0Vw!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc6946e4b-8bb6-4169-8954-a33875f9d053_1059x265.png, Measure, says that the disc-like sun is possible, and Ethan is wrong because, https://substackcdn.com/image/fetch/$s_!N1Km!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F1ad98a6a-898d-44ec-9b8b-a759d4303cca_151x132.png
Links For October 2025
October 30, 2025 · Original source
2: Prediction by Jurgen Gravestein: “I don’t think people realize what kind of ads are coming. If the Sora app has your face, you will in the near future see ads of yourself wearing clothes of a certain brand.”
Inline links: Prediction by Jurgen Gravestein
4: It’s No Great Awakening. Claims of a revival in American Christianity among the young are not borne out by data. The country is no longer secularizing at the same rate as in the early 2000s, but there is no sign of any reversal.
Inline links: It’s No Great Awakening
Everyone who studies biochem asks themselves at some point “Why do cells need such long signaling pathways?” - ie so many chemicals whose only point is to activate other chemicals and so on in a chain, until the last chemical in the chain makes something happen. If I understand this paper right, it’s claiming that if each chemical has enough positive and negative inputs, this is analogous to a neural network, capable of making primitive decisions about cellular behavior. I asked some real biologists, who were not nearly as impressed with this thesis as I was and said that although these chains do help set cellular behavior, the analogy between levels of a chemical and the activation function of a neuron was too weak to carry so much weight. I still wonder whether insights from mechanistic interpretability could help us understand networks like these.
Inline links: this paper
Open Thread 410
December 01, 2025 · Original source
This is the weekly visible open thread. Post about anything you want, ask random questions, whatever. ACX has an unofficial subreddit, Discord, and bulletin board, and in-person meetups around the world. Most content is free, some is subscriber only; you can subscribe here. Also:
Inline links: subreddit, Discord, bulletin board, in-person meetups around the world, here
1: In honor of International Shrimpact Day™, pro-shrimp Substackers are holding a shrimp welfare fundraiser, with 50% matching until December 2. Did you know that $1 can help as many as 21,000 shrimp avoid a painful death? And here is a debate between Jeff Sebo and Lyman Stone, moderated by Peter Singer, on whether shrimp welfare matters.
Inline links: a shrimp welfare fundraiser, can help, a debate
2: If your response is noooo, charity money should be spent on humans, then good news: pro-human Substackers are holding a human welfare fundraiser, also with 50% matching, until the end of the month. All donations go to homo sapiens, guaranteed!
Inline links: human welfare fundraiser
The Good News Is That One Side Has Definitively Won The Missing Heritability Debate
December 03, 2025 · Original source
The hereditarians declared victory (Cremieux on X, Emil Kirkegaard on Substack) because of this graph:
Inline links: Cremieux on X, Emil Kirkegaard on Substack
The hereditarians declared victory (Cremieux on X, Emil Kirkegaard on Substack) because of this graph: That is, once you include the rare variants, the amount of genetic variation that “should” exist but doesn’t shrinks to only 12%. Plausibly an even bigger study, investigating even rarer variants, could shrink the gap further, all the way to zero. The oldest and strongest argument against hereditarianism - if all these genes exist, why can’t we find them? - has finally been put to rest. You couldn’t find them because they were rare. But when you include rare variants in your search, you can find at least 88% of them.
Inline links: Cremieux on X, Emil Kirkegaard on Substack, https://substackcdn.com/image/fetch/$s_!aA0I!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fbd8a95de-bf38-444a-a6cd-95d3d064e31e_585x1168.png
That is, once you include the rare variants, the amount of genetic variation that “should” exist but doesn’t shrinks to only 12%. Plausibly an even bigger study, investigating even rarer variants, could shrink the gap further, all the way to zero. The oldest and strongest argument against hereditarianism - if all these genes exist, why can’t we find them? - has finally been put to rest. You couldn’t find them because they were rare. But when you include rare variants in your search, you can find at least 88% of them.
Links For December 2025
December 10, 2025 · Original source
1: Ben Goldhaber: Unexpected Things That Are People. “It’s widely known that corporations are people . . . but there are other, less well known non-human entities that have also been accorded the rank of [legal] person.”
Inline links: Unexpected Things That Are People
2: Jackdaw was originally Jack Daw. Magpie was originally Maggie Pie (really!) Robin Redbreast is still Robin Redbreast. Weird Medieval Guys explains how birds got human names. Short version: there was a medieval tradition of giving every animal one standard human name (all worms were “William Worm”, all monkeys were “Robert Monkey”) and although these are mostly forgotten, they survived in the names of a few birds. Also: “Perhaps the most baffling … was the common Kestrel. He was known simply as the Windfucker.”
Inline links: how birds got human names
3: A story “in the style of Scott Alexander or Jack Clark” about the two-door meme (meme below). And if you enjoyed the story, here’s the chaser.
Inline links: A story “in the style of Scott Alexander or Jack Clark”, https://substackcdn.com/image/fetch/$s_!yDAh!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0c4506ff-69e4-42c5-b826-bd2d1179cc3e_580x680.jpeg, here’s the chaser
Open Thread 420
February 09, 2026 · Original source
This is the weekly visible open thread. Post about anything you want, ask random questions, whatever. ACX has an unofficial subreddit, Discord, and bulletin board, and in-person meetups around the world. Most content is free, some is subscriber only; you can subscribe here. Also:
Inline links: subreddit, Discord, bulletin board, in-person meetups around the world, here
5: Several people have asked why I delete comments that get someone banned, saying they would like to be able to see them to double-check that my moderation decisions are reasonable, or to learn more about the rules and where the bar is. I agree this would be ideal, but Substack seems to auto-delete comments that get bans, and I can’t figure out how to turn off this feature. Sorry for the inconvenience.
Last Rights
March 11, 2026 · Original source
There are op-eds too. Here’s how the Atlantic wants to fix Congress. The New York Times of course has a solution. Here on Substack, Matt Yglesias thinks proportional representation is the solution, and Nicholas Decker has an especially interesting solution.
Inline links: wants, solution, the solution, solution
The US is far bigger than in the Framers’ time, so it’s the 50,000 number that would apply in the present day. This would increase the size of the House of Representatives from 435 reps to 6,6412. Wyoming would have 12 seats; California would have 791. Here’s a map: This would give the U.S. the largest legislature in the world, topping the 2,904-member National People’s Congress of China. It would land us right about the middle of the list of citizens per representative, at #104, right between Hungary and Qatar (we currently sit at #3, right between Afghanistan and Pakistan).
Inline links: 2, https://substackcdn.com/image/fetch/$s_!6JGi!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc6d6492d-b668-451f-a1cf-1d9895062e61_673x465.png
This would give the U.S. the largest legislature in the world, topping the 2,904-member National People’s Congress of China. It would land us right about the middle of the list of citizens per representative, at #104, right between Hungary and Qatar (we currently sit at #3, right between Afghanistan and Pakistan).
A Buddhist Sun Miracle?
March 27, 2026 · Original source
In 1917, some Portuguese children started seeing visions of the Virgin Mary. The Virgin told them she would enact a great miracle on a certain day in October, and a crowd of 100,000 gathered to witness the event. According to eyewitness reports, newspaper articles, etc, they saw the sun spin around, change colors, and do various other miraculous things. At least a hundred separate testimonies of the event have come down to us, with only two or three people saying they didn’t see it. Catholics continue to bring this up as one of the best-attested miracles and strongest empirical proofs of the faith - including here on Substack, where there was a spirited debate about the event last fall.
I did my best to research the event, and the results were The Fatima Sun Miracle: Much More Than You Wanted To Know and Highlights From The Comments On Fatima. The main thing I was able to add to the Substack discussion, if not the broader worldwide one, was a survey of similar events. There were apparent sun miracles at various other Catholic sites and apparitions of the Virgin, including a crowd of hundreds of thousands in Italy, and a small town in Bosnia where they seem to happen regularly. But also, people who “sungaze” - a weird alternative medicine practice where people stare at the sun in the hopes that maybe this will help something and they won’t go blind - report sometimes seeing the sun spin and change color in similar ways. And Buddhist meditators report that concentrating very hard on any bright light will cause similar things to happen.
Inline links: The Fatima Sun Miracle: Much More Than You Wanted To Know, Highlights From The Comments On Fatima
Still, the Catholics - especially original Fatima-Substacker Ethan Muse - were not convinced. The other Catholic sightings could have been other real miracles, equally attributable to the Virgin. The sungazers were staring at the sun for a long time, unlike the Fatima pilgrims who just happened to glance up at it. And the meditators were doing sophisticated contemplative exercises, again different from the Fatima pilgrims who just looked up and saw it. These were suggestive, but there was no record of a miracle exactly like Fatima happening within a non-Catholic religious tradition.
Open Thread 428
April 06, 2026 · Original source
This is the weekly visible open thread. Post about anything you want, ask random questions, whatever. ACX has an unofficial subreddit, Discord, and bulletin board, and in-person meetups around the world. Most content is free, some is subscriber only; you can subscribe here. Also:
Inline links: subreddit, Discord, bulletin board, in-person meetups around the world, here
Most advice in this space is vague. I care about outcomes you can actually measure. Most photographers optimize for their portfolio. I optimize for dating app performance. I publish my full methodology on Substack for free. If you want someone to run the whole process end-to-end, that is where I come in.
Inline links: my full methodology on Substack
Slate Star Codex23 mentions across 23 issues

Slate Star Codex is a recurring publication in the Astral Codex Ten archive, appearing 23 times across 23 issues between August 30, 2020 and October 13, 2025. The archive places it in contexts such as "Some of you are probably veterans of my old blog, Slate Star Codex"; "my wage stagnation post on Slate Star Codex (February 2019)"; "The journalist involved hasn’t known about Slate Star Codex for three years". It most often appears alongside Scott, Trump, United States.

Article page
Slate Star Codex
Mention count
23
Issue count
23
First seen
August 30, 2020
Last seen
October 13, 2025
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You're Probably Wondering Why I've Called You Here Today
August 30, 2020 · Original source
Welcome to Astral Codex Ten! Some of you are probably veterans of my old blog, Slate Star Codex. Others may be newbies wondering what this is all about.
But for now - welcome to Astral Codex Ten! I am genuinely glad you're here!
Open Thread 158
January 31, 2021 · Original source
3. And better late than never - I recently learned that one of the economists I cited on my wage stagnation post on Slate Star Codex (February 2019) chimed in with a great comment on explaining her work - you can read it here.
Inline links: read it here
Statement on New York Times Article
February 14, 2021 · Original source
In early 2020, I learned the New York Times wanted to write an article about me. They had discovered my real name and wanted to reveal it to the world. Their original pitch – and I don’t know if it was true or not – was that they were interested in how I warned about the coronavirus pandemic very early and urged people to wear face masks before this was standard advice.
Inline links: very early, wear face masks
When I discussed this with the New York Times, they said they were going to reveal my real name anyway. As a protest and an attempt to prevent this from happening, I deleted my blog and replaced it with a post condemning the New York Times’ actions. The post “went viral”, 513,000 people read it, hundreds (thousands?) of people cancelled their New York Times subscriptions in protest, and it was a major scandal. There were some news stories about it at the time – you can read some of them eg here or here. I was proud to receive support from voices like Harvard professor Steven Pinker, Wikipedia founder Larry Sanger, social psychologist Jonathan Haidt, science broadcaster Liv Boeree, and Atlantic editor Yascha Mounk.
Inline links: a post condemning, here, here
In one post, he aligned himself with Charles Murray, who proposed a link between race and IQ in “The Bell Curve.” In another, he pointed out that Murray believes Black people “are genetically less intelligent than white people.”
Inline links: aligned himself with Charles Murray
Your Book Review: Are We Smart Enough To Know How Smart Animals Are?
April 22, 2021 · Original source
Okay, so the book doesn't actually talk about predictive processing as such, but since it was about cognition, I couldn't help but think about it. Full disclosure, almosteverything I know about Predictive Processing I learned on Slate Star Codex, so take this with a grain of salt. Given that predictive processing purports to describe what is happening at a really low level, if correct, it almost certainly is how other vertebrate cognition works. This might open up new avenues for experiment and observation that aren't open with humans (no, this isn't a call for vivisection or anything, just building on what has been described above about animals having widely varying cognition that can be tested in different ways). Perhaps even more interesting would be to try to figure out if predictive processing explains the cognition of non-vertebrates like octopodes. I don't really have much further insight on this, but this sounds like yet another place where the fields of (human) psychology/neuroscience and animal cognition could usefully inform each other.
Inline links: almost, everything, know
Open Thread 176
June 13, 2021 · Original source
1: I've heard from five people who, despite sending me entries (and in some cases having me get back to them saying I'd gotten them), somehow didn't get entered into the Book Review Contest. The people I know about are the ones who wrote reviews of The Beginning Of Infinity, Gulag+Kapital+Totalitarianism, Plagues And Peoples, Essay On Man, and Origin Of The Human Mind. If you entered but didn't end up either as a finalist or in the Runners-Up Packet, you're also in that category and should send me an email at scott@slatestarcodex.com ASAP so I can fix it. Send it from a different address than you used originally, in case the problem was that your emails end up in my spam filter. My plan is to speed-judge all of them, then pick one extra finalist which I'll present to you next Thursday, then start voting next Friday.
2: I asked you all to vote on entries from the Runners-Up Packet to promote to finalists. There were three clear winners - the two reviews I posted last week, and a review contrasting Peter Zeihan's Disunited Nations with Bruno Macaes' Dawn of Eurasia. I've already posted a Zeihan review, and I worry readers are getting tired of these reviews and don't have the patience for a semi-duplicate, so I'm awarding the new Zeihan review...some prize to be determined later, like "People's Choice" or something, that doesn't involve me making it a finalist. Don't worry, there will be money involved. If you want to read it, you can find it here as "Disunited Nations (2020) vs. Dawn of Eurasia (2017)"
Inline links: here
5: My father, a professor of medicine working at a VA hospital, is trying to do a study and looking for a biostatistician. He can't pay you unless he gets a grant, which he probably won't, but you could get your name on a potentially pretty interesting paper. Interested candidates should know how to mine data from Vinci/Dart, and preferably have some existing relationship with the VA that can save them a painful and potentially impossible onboarding process. If interested, email me at scott@slatestarcodex.com and I'll give him your name.
Why Do People Prefer My Old Blog's Layout To Substack's?
May 04, 2022 · Original source
I think that all of this together is pretty strong evidence that most people prefer the old Slate Star Codex layout to the new Substack-mandated ACX.
This is weird, because the old Slate Star Codex layout was - mostly something I threw together in a day or two. I am widely recognized as not having taste, and the only website I ever developed before this was a Geocities site that was even worse. A few of my web designer friends helpfully smoothed over some rough edges (in one case literally, Apple-style), but the basic design remained my amateurish rush job.
Slate Star Codex: Original version Slate Star Codex: After some web designer friends spruced it up Meanwhile, Substack is run by tech industry veterans who probably hired a team of really experienced designers and thought really hard about every aspect of their product. It doesn’t make any sense at all for me to do a better job than them. So what’s going on?
Inline links: https://substackcdn.com/image/fetch/$s_!i2My!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Ff9c183db-1f13-4bb9-9d8a-9194b82a8599_1591x834.png
Birth Order Effects: Nature vs. Nurture
June 01, 2022 · Original source
Source here; thanks to Emile for the graph That is, of people with exactly one sibling who read this blog, about 72% of those are the older of the two children in their family, compared to only 29% who are the younger of the two (where by chance we would expect 50-50). This was surprising, because at the time lots of studies had shown there weren’t really birth order effects (that is, firstborn siblings had no major personality differences compared to laterborns). I theorized that maybe for some reason it was easier to find by looking in a heavily-selected group of people and asking members about their birth order, compared to getting a random sample and trying to correlate birth order with things. Sure enough, later amateur research revealed strong birth order effects in physics Nobelists and great mathematicians (and potentially Harvard philosophy students). Given that readers of this blog are highly-educated (about 37% have masters or PhDs) and mostly in STEM (41% programmers of some sort), plausibly birth order affects something about intelligence, education, or STEM orientation (somebody should check literature and peace Nobelists!) Followup research by Less Wrong user “Bucky” determined that the effect fell off with age gaps; the closer in age you are to your sibling, the stronger an effect birth order has: I continue to be confused by this extremely strong effect which most of what we know about psychology says shouldn’t exist. So in 2020, I asked my readership some even more complicated questions about their family situations, in the hopes of teasing out why this is happening. I’ll be honest - I think I over-reached here. I’m not very good at statistics, and this is a weird statistical problem: the dependent variable is whether the case ended up in the sample at all! I wasn’t able to figure out a good way to use most of the data you gave me. And the stuff I did use, I mostly made work by slicing and dicing so much that the sample size got pretty low, even when I started from 8,000 survey respondents. I’m publishing this in the hopes that it will inspire someone else will more domain knowledge to do a sophisticated re-analysis. But for now, here’s what I’ve got. Confirming Old Results With The 2020 Dataset The 2020 dataset also shows a strong birth order effect in people who read this blog. In 2018, among people with exactly one sibling, respondents were 2.51x more likely to be the older sibling than the younger (72%). In 2020, the number was 2.39x (71%). Change with age gap is shown below: Note truncated y-axis This seems to be broadly similar to the 2018 results. There was an anomaly in 2018 where some categories seemed to drop off surprisingly quickly between 7 and 8 years, which I thought might be meaningful. But Bucky’s analysis showed this was probably a coincidence, and indeed it doesn’t show up in the new data. Does Sex Matter For Birth Order Effects? I wondered if there might be a smaller birth order effect for people with opposite-sex siblings. One possible explanation for the birth order effect is children trying to get out of the “shadow” of their older sibling and differentiate themselves in some way. But children are already pretty different from an opposite-sex sibling and might feel less pressure in that situation. But this doesn’t seem to be true. The percent firstborns in sibships of two on the survey was 70% among people with a same-sex sibling, and 71% among people with an opposite-sex sibling; no real difference. Do Biological Or Social Factors Produce Birth Order Effects? All previous results are for biological siblings. But it might be worth asking the question separately for biological vs. social siblings. One could imagine either biological or social causes of the birth order effect. For example, some biologists speculate that pregnancy depletes choline, that it takes a long time for choline stores to recover, and that a second child born within that window will have less choline available to build their nervous system, which could be bad. But also: maybe if you have an older sibling, your parents can’t pay as much attention to you when you’re a kid, and you learn less. This was very hard to test for. Again, I wasn’t able to use traditional statistical tests because I’m trying to determine whether someone was in the sample at all, rather than whether two variables are related. It was easy to check normal birth order because I could compare people with exactly one older sibling to people with exactly one younger. It was harder to do with things like adoption in the mix, because that could introduce a bias: are parents more likely to adopt out their first child (because that’s when they’re most unprepared for parenting)? Are adoptive parents more likely to adopt when they already have children of their own (because they’re comfortable with child-rearing) or less likely (because they really want kids and can’t have them biologically)? I had no way of getting controls for these questions and so I couldn’t do a lot of the analyses I wanted. But I did two relatively weak analyses instead: First, I took the entire set of people in weird situations - people who said their number of social siblings was not the same as their number of biological siblings. In this group of 174 people, biological firstborns made up only 61% of respondents with one sibling, notably less than the 71% in the entire sample. That suggests that the unusual social situations are having an effect. You shouldn’t update on the fact that it’s still higher than 50%, because some of the people’s weird social situations don’t affect their status as social firstborns. Second, I tried to compare people who were firstborn under a biological definition but not a social definition, to people in the opposite situation. There were 40 people in the sample who were biological but not social firstborns, and 60 people who were social but not biological firstborns. Again, this suggests that social firstborn-ness is more important as an explanation than biological firstbornness, although it doesn’t rule out the latter having some effect. I additionally tried to compare two different types of social firstbornness - one where no older siblings lived in the house when you were growing up, and one where your parents had never parented another child. There weren’t many people discordant on these two measures (29 vs. 20 respectively), but for what it’s worth, the ratio was in favor of the first type. Since I wasn’t very confident in my analytical abilities here, I asked Bucky, who knows more and who did good work analyzing the last dataset, to look into this (we worked independently and didn’t tell each other our results until we were done). He writes: It seems to me that the effect is entirely caused by social siblings. I filtered for only people with 1+ biological but 0 social siblings. There were 24 oldest biological children in this group vs 21 2nd children (or 25 youngest children with a large overlap between 2nd oldest and youngest groups). This significantly differed from the ~0.7 fraction of older children in the general surveys (p<0.05 or p<0.01 depending on whether I use the 2nd oldest or youngest as the comparison) and is close to a 1:1 ratio. I then filtered for only people with 0 biological but 1+ social siblings. There were 51 oldest social children and 23 2nd children (or 26 youngest children again with large overlap). This differs significantly from a 1:1 ratio (p<0.001 or p<0.01) and matches pretty well with the 70% of the Birth order effect. I tried doing some filtering by age gap (2-7 years) and the results were compatible with the same result, although the sample sizes got too small to really conclude anything. For dealing with answers left blank I treated them as 0 unless it looked like the whole section had been missed out. If I ignored any respondents who left something blank I got similar results (smaller sample size but ratios are even further in favour of the social hypothesis). I checked for categorisation errors by looking at respondents’ descriptions of their families and they mainly matched pretty well with the numbers given so I think the data should be considered reliable. I did chuck a couple of results out which seemed unreliable and there was one row which was a repeat so your numbers might not match up exactly (plus you have the non-public data). There are a couple of confounders in the analysis such as whether e.g. oldest children are more likely to be adopted or how much you know about your birth family depending on how old one was when the family unit changed etc. I don’t see a realistic way to account for these but I also can’t see any of them being big enough to explain the difference in the results. Hopefully this matches up with what you found! I think this suggests birth order effects are social rather than biological. So What Causes Birth Order Effects? Based on this analysis, it seems unlikely they are biological. Based on my very weak sub-analysis, and on their tendency to decay with larger age gaps, it seems they have more to do with the social presence of a sibling in the house than with any changes in parenting style (ie your parents learn to parent differently). Two explanations that satisfy both those criteria: Parents are able to devote their full attention to parenting their first child, but only half of their attention to parenting their second. Firstborns get more quality time with their parents during the first few years of childhood.
Inline links: here, physics Nobelists, great mathematicians, Harvard philosophy students, Followup research, https://substackcdn.com/image/fetch/$s_!jKaz!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F4995a838-7372-40dc-8e51-1b35c811bd43_523x388.png, some even more complicated questions about their family situations, https://substackcdn.com/image/fetch/$s_!CMuv!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F8042c21d-a6b7-48f9-bbcc-daf8c136953c_497x339.png
Finally, other people might be able to extract more signal out of this than I was. If you’re interested, you can find the raw data, the original question list, and a description of how to use them here. Note that a few people refused permission for me to republish their data, so you will probably get slightly different numbers than I did.
Inline links: here
In 2018, thanks to the 8,000 of you who filled out the Slate Star Codex Reader Survey, I discovered that higher birth order siblings were much more likely to read this blog than later-borns:
I Won My Three Year AI Progress Bet In Three Months
September 12, 2022 · Original source
At the time, I wrote: I’m not going to make the mistake of saying these problems are inherent to AI art. My guess is a slightly better language model would solve most of them…for all I know, some of the larger image models have already fixed these issues. These are the sorts of problems I expect to go away with a few months of future research. This proved controversial. Gary Marcus in particular has emphasized how challenging compositionality is for modern language and image models: @sama @gdb @Plinz @ylecun, \n\nEach of you ridiculed my recent title, but this is what the article was actually about: compositionality.\n\nYes, there are many kinds of progress in other directions. \n\nBut compositionality is at the core of intelligence. \n\nNo AGI without it. ","username":"GaryMarcus","name":"Gary Marcus","profile_image_url":"","date":"Sat Apr 09 04:34:37 +0000 2022","photos":[],"quoted_tweet":{"full_text":"Compositionality *is* the wall. \n\nEven “red cube” and “blue cube” on their own are represented unreliably; not one of ten images correctly captures the full phrasal description.\n\nThe images are beautiful, but no match for the precision of language. https://t.co/uvoXUtETwi","username":"GaryMarcus","name":"Gary Marcus"},"reply_count":0,"retweet_count":7,"like_count":54,"impression_count":0,"expanded_url":{},"video_url":null,"belowTheFold":true}" data-component-name="Twitter2ToDOM"> And one of my commenters, Vitor, asked: Why are you so confident in this? The inability of systems like DALL-E to understand semantics in ways requiring an actual internal world model strikes me as the very heart of the issue. We can also see this exact failure mode in the language models themselves. They only produce good results when the human asks for something vague with lots of room for interpretation, like poetry or fanciful stories without much internal logic or continuity. Not to toot my own horn, but two years ago you were naively saying we'd have GPT-like models scaled up several orders of magnitude (100T parameters) right about now (https://slatestarcodex.com/2020/06/10/the-obligatory-gpt-3-post/#comment-912798). I'm registering my prediction that you're being equally naive now. Truly solving this issue seems AI-complete to me. I'm willing to bet on this (ideas on operationalization welcome). I responded to Marcus here, and I responded to Vitor by making a bet on whether AI image models could draw some compositionality-heavy pictures by 2025. The specific terms we agreed on: My proposed operationalization of this is that on June 1, 2025, if either if us can get access to the best image generating model at that time (I get to decide which), or convince someone else who has access to help us, we'll give it the following prompts: 1. A stained glass picture of a woman in a library with a raven on her shoulder with a key in its mouth 2. An oil painting of a man in a factory looking at a cat wearing a top hat 3. A digital art picture of a child riding a llama with a bell on its tail through a desert 4. A 3D render of an astronaut in space holding a fox wearing lipstick 5. Pixel art of a farmer in a cathedral holding a red basketball We generate 10 images for each prompt, just like DALL-E2 does. If at least one of the ten images has the scene correct in every particular on 3/5 prompts, I win, otherwise you do. DALL-E can’t do any of these: If I were being kind, I would give it the farmer in the cathedral. But I am being unkind, so the farmer in front of the cathedral doesn’t count. II. There are now at least four more AI image models available: Google Imagen announced May 2022.
Inline links: https://slatestarcodex.com/2020/06/10/the-obligatory-gpt-3-post/#comment-912798, here, bet, https://substackcdn.com/image/fetch/$s_!_gqe!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F6138ab0d-3a82-4eb9-a328-bf38ea0f6b10_632x784.png, announced
Open Thread 250
November 13, 2022 · Original source
2: The past year has been a terrible time to be a charitable funder, since FTX ate every opportunity so quickly that everyone else had trouble finding good not-yet-funded projects. But right now is a great time to be a charitable funder: there are lots of really great charities on the verge of collapse who just need a little bit of funding to get them through. I’m trying to coordinate with some of the people involved. I haven’t really succeeded yet, I think because they’re all hiding under their beds gibbering - but probably they’ll have to come out eventually, if only for food and water. If you’re a potential charitable funder interested in helping, and not already connected to this project, please email me at scott@slatestarcodex.com. I don’t want any affected charities to get their hopes up, because I don’t expect this to fill more than a few percent of the hole, but maybe we can make the triage process slightly less of a disaster.
And I tried to make the same point in Axiology, Morality, Law (2017), where I said:
Inline links: Axiology, Morality, Law
I later discussed whether there could be exceptions to this (like “what if by giving one person a paper cut you could end all disease forever?”) but I hope that it’s still clear that in most normal situations following the rules is the way to go. This isn’t super-advanced esoteric stuff. This is just rule utilitarianism, which has been part of every discussion of utilitarianism since John Stuart Mill in the 1800s. See also The Dark Rule Utilitarian Argument For Science Piracy.
Inline links: The Dark Rule Utilitarian Argument For Science Piracy
Prediction Market FAQ
December 20, 2022 · Original source
If you have an idea for a prediction-market-related company, feel free to run it by me. You can reach me at scott@slatestarcodex.com.
SSC Survey Results On Schooling Types
January 18, 2023 · Original source
Taken from the 2020 Slate Star Codex Survey. SSC/ACX readers are a heavily-selected population and nothing about them necessarily generalizes to anyone who isn’t an SSC/ACX reader. But you are an SSC/ACX reader, so maybe they generalize to you. Most of these questions are heavily confounded by different types of people going to different schools. In a few cases, I’ve made feeble efforts to get past this, in other cases I haven’t tried. All of this is rough and weak, you don’t need to comment to tell me this.
Inline links: 2020 Slate Star Codex Survey
As always, you can try to replicate my work using the publicly available SSC Survey Results. If you get slightly different answers than I did, it’s because I’m using the full dataset which includes a few people who didn’t want their answers publicly released. If you get very different answers than I did, it’s because I made a mistake, and you should tell me.
Inline links: SSC Survey Results
Links For July 2023
July 06, 2023 · Original source
12: Big thanks to Adam Piovarchy, who included me as a coauthor in his recent article in Philosophical Studies, Epistemic Health, Epistemic Immunity, and Epistemic Inoculation. He said he was inspired by old Slate Star Codex posts including Cowpox of Doubt and wanted to give me shared credit. This is a typical example of the process of turning SSC/ACX posts into journal articles, in that 1) you’re completely welcome to do it and 2) I probably won’t contribute anything to the process beyond my permission, sorry.
Inline links: Epistemic Health, Epistemic Immunity, and Epistemic Inoculation, Cowpox of Doubt
13: Sort of distantly related: Roman “bayesyatina” Achisov and a group of Russian ACX fans (don’t you guys have other things to worry about over there?!) have turned my short story Ars Longa, Vita Brevis into a shockingly-professional-feeling short film! Currently only in Russian, sorry, but you can make YouTube awkwardly translate the subtitles by clicking on the gear icon on bottom → Subtitles (CC) → Translate → Auto-Translate → English. If the Translate option doesn’t appear, select Russian subtitles and then try the process again. They say they might have official English subtitles up soon, in which case I’ll link this again, but I’m excited and want to link it now too:
Inline links: Ars Longa, Vita Brevis
Impact Market Mini-Grants Results
October 09, 2023 · Original source
My only regret with this grant is that Max undervalued himself, so all his money is going to his investor. Max, please get in touch with me at scott@slatestarcodex.com about having me retroactively recoup some of your other expenses if you want.
Thanks again to everyone who participated, whether as project leader, investor, or judge. And thanks especially to Austin Chen, Rachel Weinberg, and the rest of the Manifund and Manifold teams for the technology and organization that made this possible. If we owe you money, expect an email from Manifund sometime in the next two weeks. If you don’t get it, email me at scott@slatestarcodex.com.
Highlights From The Comments On Kidney Donation
November 07, 2023 · Original source
If he holds a rule “preserve bodily integrity” because he notices that helps him avoid bad things - and if he makes exceptions whenever there are cases where preserving bodily integrity imposes costs, or prevents a benefit - then I propose he’s using it as a heuristic for what he really wants, which is something like trying to stay healthy and safe while balancing that out with satisfying his other values. People tend to crystallize heuristics at different levels, and maybe he’s chosen to crystallize this one here. But I bet we could come up with lots of cases he hasn’t considered before, and find that the heuristic really isn’t that crystallized - if someone invents something new which is approximately as body-integrity-violating but also approximately as beneficial as vaccines, Stephen will support it.
Inline links: crystallize heuristics at different levels
…really you don’t even have to do that. I find the morality/axiology distinction helpful here. You can have a concept of morality such that it’s pretty weak and you’re more or less following it correctly, while maintaining a concept of axiology where you’re not a perfect saint doing the maximally beneficial thing at all times (and that’s fine).
Inline links: the morality/axiology distinction
…or maybe I’m being unfair to Stephen. Here Lone Ranger demonstrates a different reason to stick with coarse-grained heuristics even when there’s evidence that they fail in your specific case: you don’t believe the evidence, you don’t trust the people presenting the evidence, and you suspect the whole thing is an op. This is epistemic learned helplessness, and it’s adaptive in a lot of situations.
Inline links: epistemic learned helplessness
Open Thread 308
December 24, 2023 · Original source
2: Related: I’m trying to figure out how to share applications with judges, and it’s more complicated than it sounds. To make it easier, please don’t send any extremely secret (can’t even be shown to non-me judges) applications via the form. If you have these (which I don’t recommend), send them to my email (scott@slatestarcodex.com) directly, using the form as a guide. I’ll update the form to reflect this. Don’t worry, I’ve manually taken out the nonpublic applications I’ve already gotten.
This is the weekly visible open thread. Post about anything you want, ask random questions, whatever. ACX has an unofficial subreddit, Discord, and bulletin board, and in-person meetups around the world. 95% of content is free, but for the remaining 5% you can subscribe here. Also:
Inline links: subreddit, Discord, bulletin board, in-person meetups around the world, here
Your Book Review: The Family That Couldn’t Sleep
July 12, 2024 · Original source
(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
Triple Tragedy And Thankful Theory
October 09, 2024 · Original source
[An old Slate Star Codex post describes] systems trying to thrive [versus] systems trying to survive. Just as with the political left-right dichotomy that Scott described in these terms, this distinction between these types of systems is most obvious when both are in conflict with each other, such as when Silicon Valley startups complain that the regulations of the systems trying to ensure survival are stopping them from thriving, or when opponents of nuclear power proclaim themselves uninterested in the low price of this energy.
Inline links: systems trying to thrive [versus] systems trying to survive
Book Review Contest 2024 Winners
October 11, 2024 · Original source
3rd: How The War Was Won, reviewed by Jack Thorlin. Jack previously worked as an attorney at the Central Intelligence Agency, and is now an assistant professor at the University of Arkansas School of Law. First place gets $2,500, second place $1,000, third place gets $500. Email me at scott@slatestarcodex.com to tell me how to send you money; your choices are Paypal, Bitcoin, Ethereum, check in the mail, or donation to your favorite charity. Please contact me by October 21 or you lose your prize. The other Finalists were: Autobiography Of Yukichi Fukuzawa, reviewed by Jason Rhys Parry. Jason is a researcher at Sapienship. He has a new tech and culture-themed Substack called Blueprint Canopy. You can read his debut post "The Sci-fi Career Guide" for a taste of things to come. He also tweets at @JRhysParry.
Inline links: How The War Was Won, Autobiography Of Yukichi Fukuzawa, Blueprint Canopy, @JRhysParry
ACX Endorses Harris, Oliver, Or Stein
October 30, 2024 · Original source
I mostly stand by the reasoning in my 2016 post, Slate Star Codex Endorses Clinton, Johnson, Or Stein. But you can read a better and more recent argument against Trump’s economic policy here, and against his foreign policy here. You can read an argument that Trump is a dangerous authoritarian here.
Inline links: Slate Star Codex Endorses Clinton, Johnson, Or Stein, here, here, here
I think the strongest argument against Trump is the argument from authoritarianism. But what is authoritarianism in this context? As I argued years ago, Trump isn’t Hitler, isn’t going to put people in death camps, and probably his approval rating among minorities won’t even dip below the 30s. So what am I worried about?
Inline links: As I argued years ago
Actually we can do this very easily, because the paint-throwers broke the law, and the fossil fuel executives didn’t. Unless you’re the dumbest sort of naive consequentialist, you punish people who have violated bright-line norms, not people doing stuff you think is subtly damaging, even if the subtle damage may add up to more harm than the bright-line norm violations. You do this because it’s the prerequisite for having civilization at all: everyone disagrees on what’s subtly damaging, but everyone should be able to get behind protecting paintings. If people come together and form institutions to prevent bright-line violations everyone agrees on, and you pervert them or to fight your preferred battle against subtle damage, eventually those institutions lose credibility and you can’t do either.
Inline links: you punish people who have violated bright-line norms
ACX Survey Results 2025
January 29, 2025 · Original source
http://slatestarcodex.com/Stuff/ACXPublic2025.xlsx
http://slatestarcodex.com/Stuff/ACXPublic2025.csv
Thanks again to everyone who took the survey! If you want to investigate the answers in more depth, download the public data (.xlsx, .csv)
Inline links: .xlsx, .csv
Your Review: The Astral Codex Ten Commentariat (“Why Do We Suck?”)
July 26, 2025 · Original source
The SSC-era is highlighted in blue. You can see that it shows something a bit like a classic sigmoidal adoption curve (but wearing a top hat). Post engagement starts low, before rapidly shooting up in 2014-15. It peaks in April 2016 – which is highlighted in red in this and all subsequent graphs so you can track peak engagement - before dropping back to a steady level of around 400-600 comments per post for the next three years. Notably, the run of posts that most people regard as being the ‘Golden Age’ for Scott’s writing happens much earlier than peak engagement with the comments section. People disagree about where this run of exceptionally good posts in quick succession start and ends, but I think you could safely say it has definitely begun by the time of The Control Group is Out of Control (although I would date it a little earlier, personally) and ends with either The Toxoplasmosa of Rage or Untitled – basically 2014 has a high density of ‘important’ posts.
Inline links: The Control Group is Out of Control, Toxoplasmosa of Rage, Untitled
Complexity of thought – Perhaps the most important feature distinguishing the ACX Commentariat from other, lesser, blogs is that some really smart people comment here and give novel and well-nuanced takes on a topic. If this ever disappeared it would not matter about any of the other three features, because the Commentariat would effectively be dead anyway. To me, these broad categories represent the unique and positive features of the SSC/ACX Commentariat, and the extent to which they are present is a reasonable indicator of comment section quality, especially if they are all present at the same timepoint and that timepoint happens to line up with peak engagement in 2016 (this is foreshadowing). To generate data on the ACX Commentariat, I scraped the comments section of every post Scott has made since 2013. The Old Ones whisper of a blog that existed before even Slate Star Codex, but since I’m not 100% certain we’re encouraged to talk about the older blog (and nobody dates the golden era of Scott’s writing to pre-2013 anyway) I kept my scraping to just the two websites we’re definitely allowed to talk about; Slate Star Codex (SSC) and Astral Codex Ten (ACX). The main points of failure with my scraping were Subscriber-only threads (which my algorithm virtuously refused to read as it wasn’t a subscriber) and battling with the Substack UI to get all the comments to load for me simultaneously on larger threads. Nevertheless, between my incompetent code and the jaunty Substack UI I only dropped a few comments on even very long threads, so I figured the data scrape would be adequate for the use-case I had for it. I then used a bunch more janky code (some written by me, some written by ChatGPT) to try and quantify the levels of depth, freedom, politeness and complexity of each comment. I captured 2460 individual posts, and approximately 1.8m comments. Of the 24,486 unique comment authors, around 40% have made only one comment to the blog. The most prolific poster is the irrepressible Deiseach, at 20,685 contributions. Deiseach is also the only commentor to have made a comment on both the first post in my sample and the last, so has been with the blog a very long time! Only one other commentor has made more contributions than Scott (11,249), and this is John Schilling (11,607). The quality of data on individual users is not great for the ACX era (Substack seems to record missing author data in a few different ways, and sometimes swallow data for no reason) but I’m happy to give the rank ordering of anyone else who cares to know their specific level of clout in this niche community - I myself am the 799th most prolific contributor to the comments section (225 comments). I’m also delighted to share my raw data with anyone interested – the summary statistics per post are here. The scraped comments themselves are about 2Gb so I don’t know where I can host them but if anyone has any ideas (and Scott doesn’t mind) I’ll share them too. I know that some of the post titles seem to have turned into hieroglyphics, but as far as I can tell it is cosmetic only and won’t affect any of the actual data – it is a symptom of a cool hidden feature of Microsoft Excel where it open UTF-8 encoded CSVs in a way that garbles special characters for no particular reason. Considering each of these factors in turn: Depth of engagement with a topic
Inline links: first post, the last, here
This graph shows that around 9% of comments will contain at least one token indicating the comment is discussing a sensitive topic, with a range of about 6% to 14%, disregarding the very early years where small sample size made the data more variable. There wasn’t any one ‘sensitive’ token in particular which correlated exceptionally well with the rise and fall of this 6% to 14%, which implies to me that we have correctly identified a general factor of ‘willingness to discuss sensitive topics’ (or possibly that the peaks and troughs correspond to peaks and troughs in the external landscape – ie specific touchpoints and lulls in the Culture War – which would also be fine for the purpose we’re putting it to). This is an imperfect measure because it only tracks if someone is using a sensitive phrase and not whether they are using it in a heretical way (cf. ‘fifty Stalins’ here). However, I thought in the context of ACX posts the approach was probably reasonable – sensitive phrases are only likely to appear if they are being discussed a lot, and we know from the previous section that discussion depth is high both now and during the 2016 peak engagement period. It isn’t necessarily true that deep discussion implies spirited debate - some political discussions on reddit can go into the thousands of comments without anyone ever actually expressing a counter-orthodoxy view – but I think in the specific context of ACX it is reasonable, because we don’t generally have norms of expressing substanceless agreement. Hopefully, therefore, the changing ratio of socially or professionally sensitive phrases to phrases not included in my dictionary would tell us something about the willingness of the comment section to engage in potentially emotive discussions at any point in time. The relationship of occurrence of these tokens to engagement with the comment section is hard to draw clear conclusions from – although the peak does indeed look to be about 2016 or 2017 the data are noisy, and strongly affected by the choice of words to include in my dictionary. I picked the dictionary before I saw the data, but perhaps a different set of words would have given a different result, especially if I had a better way of identifying sensitive discussions around COVID (‘ivermectin’ was the only COVID-related word I could think of that became politicised in the same way ‘microaggression’ or ‘misgender’ did). Nevertheless, I would say this gives some weak support to the idea that 2016 was a turning point in SSC Commentariat free speech norms (and strong support to the idea that the start of ACX was a low point for discussion of sensitive topics) I include below a few specific sensitive phrases which I thought were interesting. Do note the different scales on each graph. Of particular interest to me is the ‘SJW’ graph, which has a really clear peak at exactly the high point of Commentariat engagement. I will return to this graph later in the review. Politeness
Inline links: here, https://substackcdn.com/image/fetch/$s_!DD3w!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd75c3c55-0fc8-4c3e-bd67-7d1f406d2df5_723x428.png
Meetups Everywhere 2025: Times and Places
August 29, 2025 · Original source
Many cities have regular Astral Codex Ten meetup groups. Twice a year, I try to advertise their upcoming meetups and make a bigger deal of it than usual so that irregular attendees can attend and new readers can hear about the meetups. This is one of those times.
Meetup Czar Note: If Cassander claims to be running ACX Everywhere, this is false. We have fully split with Cassander, and ask that he no longer use the Astral Codex Ten or Slate Star Codex brand.
Contact: Joey Contact Info: me[a t]joeym[period]org Time: Wednesday, September 10th, 6:00 PM Location: Armistice Coffee Roosevelt, 6717 Roosevelt Way NE Suite 101, Seattle, WA 98115. I'll be in the back covered area, with a sign that says "Astral Codex Ten Meetup". Coordinates: https://plus.codes/84VVMMHJ+4XJ Group Link: https://www.meetup.com/seattle-rationality/events/; https://www.lesswrong.com/groups/PmvZmMxBtxE87PHZf; https://discord.gg/6qk [remove this bit] jG5heDC
Inline links: https://plus.codes/84VVMMHJ+4XJ, https://www.meetup.com/seattle-rationality/events/, https://www.lesswrong.com/groups/PmvZmMxBtxE87PHZf
ACX Grants Results 2025
October 13, 2025 · Original source
Of the 42 grantees, 40 have answered our email asking for confirmation that they still want the grant. I’m still waiting for confirmation emails from Lewis Wall and Nishank B. If you’re reading this and don’t think you got a confirmation email, check your spam folder. If it’s not in your spam folder, email me at scott@slatestarcodex.com. If you can’t reach me or I don’t respond, DM me on Substack or Twitter. I’ll give you until November 1 to get in touch, after which point the grant will be withdrawn. There are also a few projects so deep in stealth I don’t have permission to share their existence; I will mention these as they become public.
If any of you are unhappy with how you have been credited or not-credited, please email me at scott@slatestarcodex.com.
slatestarcodex.com23 mentions across 23 issues

slatestarcodex.com is a recurring publication in the Astral Codex Ten archive, appearing 23 times across 23 issues between January 22, 2021 and July 08, 2025. The archive places it in contexts such as "contact me at scott[at]slatestarcodex[dot]com"; "send me an email at scott@slatestarcodex.com"; "Get in touch with me at scott@slatestarcodex.com to coordinate". It most often appears alongside Scott, Astralcodexten Com, ACX.

Article page
slatestarcodex.com
Mention count
23
Issue count
23
First seen
January 22, 2021
Last seen
July 08, 2025
Outbound links
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Logistics
January 22, 2021 · Original source
All "important" content will be freely available regardless of subscription status, but subscribers will get a little extra. In particular, there will be one subscribers-only Open Thread a week (on Wednesdays), along with the normal free Open Thread on Sundays, and occasional subscriber-only AMA (ask me anything) threads. I also plan to occasionally post shorter or lighter content for subscribers only, maybe once or twice a month. This would be along the lines of SSC posts like If Only Turing Was Alive To See This or Bulls**t Jobs (Part 1 of ∞). I might also paywall a few very impulsive Culture War posts, just to prevent them from going viral. I predict this will be less than 10% of content, and less than 1% of content weighted by some measure of importance.
Inline links: If Only Turing Was Alive To See This, Bulls**t Jobs (Part 1 of ∞)
If you took out advertising that got disrupted and I didn't pay you back, or I paid you the wrong amount, please contact me at scott[at]slatestarcodex[dot]com. If I have some other SSC-related obligation to you that I forgot about, remind me of that too.
Journalism and Legible Expertise
February 07, 2021 · Original source
The person who talked to me about this seems pretty trustworthy, so if any of you are legibly-expert epidemiologists, have some good but under-reported COVID opinions, and are willing to grant interviews about them, send me an email at scott@slatestarcodex.com and I'll pass your information on.
Open Thread 190
September 18, 2021 · Original source
Amsterdam asked me to squeeze them in, and I could potentially do this as long as they don’t mind me visiting on a weeknight. Get in touch with me at scott@slatestarcodex.com to coordinate. Everywhere else should check the spreadsheet as usual.
Inline links: check the spreadsheet
Apply For An ACX Grant
November 12, 2021 · Original source
If you’re a nonprofit or rich person interested in participating in ACX Grants + , and I don’t already know about your interest, please send me an email at scott@slatestarcodex.com.
Mantic Monday: Let Me Google That For You
December 20, 2021 · Original source
By the way, if you’re a journalist, I think one of the most useful things you could do in this space right now would be to publish a fortified-style essay in a major publication. If you’re nervous getting in touch with Metaculus and would prefer that I introduce you, send me an email at scott@slatestarcodex.com.
The FDA Has Punted Decisions About Luvox Prescription To The Deepest Recesses Of The Human Soul
December 22, 2021 · Original source
No direct inline source block was recovered for this mention.
ACX Grants Results
December 28, 2021 · Original source
I don’t know yet, I’m still waiting for an answer from the people who are going to handle this for me. When I know, I’ll send you all an email. I’m expecting this to be sometime in early January. If you need the money before then, contact me at scott[at]slatestarcodex[dot]com and we’ll figure something out informally.
Open Thread 210
February 07, 2022 · Original source
3: Somebody sent in an ACX Grant application saying they didn’t want any money, but they wanted data on my grantmaking process for their study on what makes teams succeed. I took this out of my pile intending to come back to it after the grants round, and then I lost it. If that was you, please send me an email at scott@slatestarcodex.com reminding me what I can do for you.
Open Thread 220
April 17, 2022 · Original source
2: Related: if you entered the contest, but your review isn’t included in the documents or isn’t listed as an option on the dropdown in the rating form, please email scott@slatestarcodex.com with “This is a genuine nonspam message” somewhere in the text so my spam filter doesn’t eat it, let me know what’s missing, and maybe send me a backup copy in case the original got lost.
Open Thread 241
September 12, 2022 · Original source
1: Book Review Contest winners should have received their money and subscriptions. If you think you should have, but haven’t, email me at scott@slatestarcodex.com. I haven’t received payment details for Roger or Chaostician; please email me, and if you’ve already tried emailing me please include “This is a genuine nonspam message” in your email to make sure my spam filter didn’t get it.
Open Thread 247.5
October 27, 2022 · Original source
1: A friend who wants to do psychiatry residency in the Bay Area asks to be put in touch with past or former psych residents from Stanford, Kaiser Oakland, UCSF, or UC Davis. If you’re in that category and willing to talk, please email me at scott@slatestarcodex.com and I’ll put you in touch with her.
ACX Grants: Project Updates
November 04, 2022 · Original source
Luca is looking for help getting a US visa from Argentina - if you can help, contact me at scott@slatestarcodex.com and I’ll put you in touch with him.
Several people reminded me that I had said I was going to create some group for grantees to talk to each other if for some reason they wanted to do that. Eleven months later, I’ve finally completed this ten-minute task and created the ACX Grantees Discord. If you’re a grantee, you should have already received an invitation; if not, email me at scott@slatestarcodex.com.
Open Thread 269
March 27, 2023 · Original source
1: Some new alignment orgs are looking for help, including a UK-based technical org interested in seed funding; they'll be seeking formal grants later but want to start up quickly. They’re looking for mid six-figures total, but not up to coordinating lots of small donors and interested in talking to people who can provide a substantial fraction of that total ($50K+). Email me at scott@slatestarcodex.com for more information.
Inline links: scott@slatestarcodex.com
Book Review Contest 2023 Winners
September 15, 2023 · Original source
3rd: Cities And The Wealth Of Nations, reviewed by Étienne Fortier-Dubois. Étienne is a writer and programmer in Montreal. He blogs at Atlas of Wonders and Monsters and was also the author of one of last year’s finalists, Making Nature. First place gets $2,500, second place $1,000, third place gets $500. Please email me at scott@slatestarcodex.com to tell me how to send you money; your choices are Paypal, Bitcoin, Ethereum, check in the mail, or donation to your favorite charity. Please contact me by October 1 or you lose your prize. The other Finalists were: Lying for Money, reviewed by Kuiper. He's a video game scriptwriter who just launched a Substack. He also scripwrites edutainment YouTube videos for an audience of millions. (You can contact him if you need his expertise.)
Inline links: Cities And The Wealth Of Nations, Atlas of Wonders and Monsters, Making Nature, Lying for Money, Substack, edutainment YouTube videos
Impact Market Mini-Grants Results
October 09, 2023 · Original source
My only regret with this grant is that Max undervalued himself, so all his money is going to his investor. Max, please get in touch with me at scott@slatestarcodex.com about having me retroactively recoup some of your other expenses if you want.
Thanks again to everyone who participated, whether as project leader, investor, or judge. And thanks especially to Austin Chen, Rachel Weinberg, and the rest of the Manifund and Manifold teams for the technology and organization that made this possible. If we owe you money, expect an email from Manifund sometime in the next two weeks. If you don’t get it, email me at scott@slatestarcodex.com.
My Left Kidney
October 27, 2023 · Original source
This isn’t controlling for selection bias - but neither was my uncle’s anecdotal observation. So although it does make me slightly nervous, I’m not going to treat it as actionable evidence. Still, my girlfriend ending up begging me not to donate, and I caved. But we broke up in 2019. The next few years were bumpy, but by 2022 my life was in a more stable place and I started thinking about kidneys again. By then I was married. I discussed the risks with my wife and she decided to let me go ahead. So in early November 2022, for the second time, I sent a form to the University of California San Francisco Medical Center saying I wanted to donate a kidney. IV. Something else happened that month. On November 11, FTX fell apart and was revealed as a giant scam. Suddenly everyone hated effective altruists. Publications that had been feting us a few months before pivoted to saying they knew we were evil all along. I practiced rehearsing the words “I have never donated to charity, and if I did, I certainly wouldn’t care whether it was effective or not”. But during the flurry of intakes, screenings, and evaluations that UCSF gave me that month, the doctors asked “so what made you want to donate?” And I hadn’t rehearsed an answer to this one, so I blurted out “Have you heard of effective altruism?” I expected the worst. But the usual response was “Oh! Those people! Great, no further explanation needed.” When everyone else abandoned us, the organ banks still thought of us as those nice people who were always giving them free kidneys. We were giving them a lot of free kidneys. When I talked to my family and non-EA friends about wanting to donate, the usual reaction was “You want to what?!” and then trying to convince me this was unfair to my wife or my potential future children or whatever. When I talked to my EA friends, the reaction was at least “Cool!”. But pretty often it was “Oh yeah, I donated two years ago, want to see my scar?” Most people don’t do interesting things unless they’re in a community where those things have been normalized. I was blessed with a community where this was so normal that I could read a Vox article about it and not vomit it back out. This is surprising, because kidney donation is only medium effective, as far as altruisms go4. The average donation buys the recipient about 5 - 7 extra years of life (beyond the counterfactual of dialysis). It also improves quality of life from about 70% of the healthy average to about 90%. Non-directed kidney donations can also help the organ bank solve allocation problems around matching donors and recipients of different blood types. Most sources say that an average donated kidney creates a “chain” of about five other donations, but most of these other donations would have happened anyway; the value over counterfactual is about 0.5 to 1 extra transplant completed before the intended recipient dies from waiting too long. So in total, a donation produces about 10 - 20 extra quality-adjusted life years. This is great - my grandfather died of kidney disease, and 10 - 20 more years with him would have meant a lot. But it only costs about $5,000 - $10,000 to produce this many QALYs through bog-standard effective altruist interventions, like buying mosquito nets for malarial regions in Africa. In a Philosophy 101 Thought Experiment sense, if you’re going to miss a lot of work recovering from your surgery, you might as well skip the surgery, do the work, and donate the extra money to Against Malaria Foundation instead5. Obviously this kind of thing is why everyone hates effective altruists. People got so mad at some British EAs who used donor money to “buy a castle”. I read the Brits’ arguments: they’d been running lots of conferences with policy-makers, researchers, etc; those conferences have gone really well and produced some of the systemic change everyone keeps wanting. But conference venues kept ripping them off, having a nice venue of their own would be cheaper in the long run, and after looking at many options, the “castle” was the cheapest. Their math checked out, and I believe them when they say this was the most effective use for that money. For their work, they got a million sneering thinkpieces on how “EA just takes people’s money to buy castles, then sit in them wearing crowns and waving scepters and laughing at poor people”. I respect the British organizers’ willingness to sacrifice their reputation on the altar of doing what was actually good instead of just good-looking. I worry that people use suffering as a heuristic for goodness. Mother Teresa becomes a hero because living with lepers in the Calcutta slums sounds horrible - so anyone who does it must be really charitable (regardless of whether or not the lepers get helped). Owning a castle is the opposite of suffering - it sounds great - therefore it is fake charity (no matter how much good you do with the castle). This heuristic isn’t terrible. If you’re suffering for your charity, then it must seem important to you, and you’re obviously not doing it for personal gain. If you do charity in a way that benefits you (like gets you a castle), then the personal gain aspect starts looking suspicious. The problem is the people who elevate it from a suspicion to an automatic condemnation. It seems like such a natural thing to do. And it encourages people to be masochists, sacrificing themselves pointlessly in photogenic ways, instead of thinking about what will actually help others. But getting back to the point: kidney donation has an unusually high ratio of photogenic suffering to altruistic gains. So why do EAs keep doing it? I can’t speak for anyone else, but I’ll speak for myself. It starts with wanting, just once, do a good thing that will make people like you more instead of less. It would be morally fraught to do this with money, since any money you spent on improving your self-image would be denied to the people in malarial regions of Africa who need it the most. But it’s not like there’s anything else you can do with that spare kidney. Still, it’s not just about that. All of this calculating and funging takes a psychic toll. Your brain uses the same emotional heuristics as everyone else’s. No matter how contrarian you pretend to be, deep down it’s hard to make your emotions track what you know is right and not what the rest of the world is telling you. The last Guardian opinion columnist who must be defeated is the Guardian opinion columnist inside your own heart. You want to do just one good thing that you’ll feel unreservedly good about, and where you know somebody’s going to be directly happy at the end of it in a way that doesn’t depend on a giant rickety tower of assumptions. Dylan Matthews wrote: As I’m no doubt the first person to notice, being an adult is hard. You are consistently faced with choices — about your career, about your friendships, about your romantic life, about your family — that have deep moral consequences, and even when you try the best you can, you’re going to get a lot of those choices wrong. And you more often than not won’t know if you got them wrong or right. Maybe you should’ve picked another job, where you could do more good. Maybe you should’ve gone to grad school. Maybe you shouldn’t have moved to a new city. So I was selfishly, deeply gratified to have made at least one choice in my life that I know beyond a shadow of a doubt was the right one. …and it really resonated. Everything else I try to do, there’s a little voice inside of me which says “Maybe the haters are right, maybe you’re stupid, maybe you’re just doing the easy things. Maybe you’re no good after all, maybe you’ll never be able to figure any of this out. Maybe you should just give up.” The Talmud is very clear: that voice is called the evil inclination, and it dwells in the left kidney. There is only one way to shut it off forever. I was ready. V. You might not be a masochist. But hospitals are sadists. They want to hear you beg. After I submitted the donation form, I was evaluated by a horde of indistinguishable women. They all had titles like “Transplant Coordinator”, “Financial Coordinator”, and “Patient Care Representative”. Several were social workers; one was a psychiatrist. They would see me through a buggy version of Zoom that caused various parts of their body to suddenly turn into the UCSF logo, and they all had questions like “Are you sure you want to do this?” and “Are you going to regret this later?” and “Is anyone pressuring you to do this?” and “Are you sure you want to do this?” After clearing that gauntlet came the tests. Blood tests - I think I must have given between 20 and 50 vials of blood throughout the screening process. Urine tests - both the normal kind where you pee in a cup, and a more involved kind where you have to store all your urine for 24 hours in a big jug, then take it to the lab. “Urinate into a jug” ought to be the easiest thing in the world, but some of the labs have overly complicated jugs that I, with my mere MD, couldn’t always get right - hence my experience accidentally pouring urine on myself in an Uber. Then came the big guns. Echocardiogram. MRI. One of my urine tests was slightly off, so I also got a nuclear kidney scan, where they injected radioactive liquid in me and monitored how long it took to come out the other end (I remember asking a friend “Can I use your bathroom? My urine might be slightly radioactive today, but it shouldn’t be enough to matter.”) Finally, five months after I originally applied, I got a phone call from the Transplant Coordinator. The test results were in, and . . . I had been rejected because I’d had mild childhood OCD. This was something I’d mentioned offhandedly during one of the psych evaluations. As a child, I used to touch objects in odd patterns that only made sense to me. I got diagnosed with OCD, put on SSRIs for a while, finally did therapy at age 15, hadn’t had any problems since. I still go back on SSRIs sometimes when I’m really stressed, and will grudgingly admit to the occasional odd-pattern-touching when no one’s looking. But it’s nothing anyone would know about if I didn’t tell them! It was mild even at age 15, and it’s been close-to-nonexistent for the past twenty years! Now I’m a successful psychiatrist who owns his own psychiatry practice and helps other people with the condition! I told them all this. They didn’t care. I asked them if there was anything I could do. They said maybe I could go to therapy for six months, then apply again. I asked them what kind of therapy was indicated for mild OCD that’s been in remission for twenty years. They sounded kind of surprised to learn there were different types of therapy and said whatever, just talk to someone or something. I asked them how frequent they thought the therapy needed to be. They sounded kind of surprised to learn that therapy could have different frequencies, and said, you know, therapy, the thing where you talk to someone. I asked them if they actually knew anything about OCD, psychotherapy, or mental health in general, or if they had just vaguely heard rumors that some people were bad and crazy and shouldn’t be allowed to make their own decisions, and that a ritual called “therapy” could absolve one of this impurity. They responded as politely as possible under the circumstances, but didn’t change their mind. I wasn’t going to waste an hour a week for six months, and spend thousands of dollars of my own extremely-not-reimbursed-by-UCSF money, to see a randomly-selected therapist for a condition I’d gotten over twenty years ago, just so I could apply again and get rejected a second time. This was one of the most infuriating and humiliating things that’s ever happened to me. We throw around a lot of terms like “stigma” and “paternalism”, and I’ve worked with patients who have dealt with all these issues (it’s UCSF in particular a surprising amount of the time!). But I was still surprised how much it hurt when it happened to me. Being denied the right to control your own body because of some meaningless diagnosis on a chart somewhere is surprisingly frustrating, even compared to things that should objectively be worse. I thought I was going to be able to do a good deed that I’d been fantasizing about for years, and some jerk administrator torpedoed my dreams because I had once, long ago, had mild mental health issues. So I gave up. I spent the next few weeks unleashing torrents of anti-UCSF abuse at anyone who would listen. This turned out to be very productive! When I was unleashing a torrent of anti-UCSF abuse to Josh Morrison of WaitlistZero, he asked if I’d tried other hospitals. I hadn’t. I’d assumed they were all in cahoots. But Josh said no, each hospital had their own evaluation process. Weill Cornell, a hospital in NYC, was one of the best transplant centers in the country, and had a reputation for fair and thoughtful pre-donor screening. Why didn’t I talk to them? NYC was far away, and I hate to travel, but I was just angry enough to accept. At this point I’d forgotten whatever good altruistic motivations I might have originally had and was fueled entirely by spite. Getting my kidney taken out somewhere else felt like it would be a sort of victory over UCSF. So I went for it. Cornell was lovely. They tried to do as much of the process as they could via Californian intermediaries, so that I only had to fly to New York twice. Their psychiatrist evaluated me, listened to me explain my weak history of OCD, then treated me like a reasonable adult who tells the truth and can handle his own medical decisions. They were concerned that I sometimes self-prescribed Lexapro to deal with anxiety. But we agreed on a compromise: I found another psychiatrist, let her give me the exact same prescription of Lexapro at a much higher cost to my insurance, and that resolved the problem. So in late September 2023 - ten months after I started the process - I finally got fully cleared to donate, surgery set for October 12. VI. I knew, in theory, that anaesthetics existed. Still, it’s weird. One moment you’re lying on a table in the OR, steeling yourself up for one of the big ordeals of your life. The next, you’re in a bed in the recovery room, feeling fine. The operation - this thing you’ve been thinking about and dreading for months - exists only as a lacuna in your memory. Not even some kind of fancy lacuna, where you remember the darkness closing in on you beforehand, or have to claw yourself back into consciousness afterwards. The most ordinary of lacunas, like a good night sleep. There was no pain, not at first. The painkillers and nerve blocks lasted about a day after the surgery. By the time they wore off, it was more of a dull ache. The hospital offered me Tylenol, and I wanted to protest - really? Tylenol? After major surgery? But the Tylenol worked. Some people will have small complications (I am a doctor, pretty jaded, and my definition of “small” may be different from yours). Dylan Matthews wrote about an issue where his scrotum briefly inflated like a balloon (probably this is one of the ones that doesn’t feel small when it’s happening to you). I missed out on that particular pleasure, but got others in exchange. I had an unusually hard time with the catheter - the nurse taking it out frowned and said the team that put it in had “gone too deep”, as if my urinary tract was the f@#king Mines of Moria - but that was fifteen seconds of intense pain. Then a week afterwards, just when I thought I’d recovered fully, I got bowled over by a UTI which knocked me out for a few days. But overall, I was surprised by the speed and ease of my recovery. A few hours after the surgery, I walked a few steps. After a day, I got the catheter out and could urinate normally again. After two days, I was eating “SmartGel”, a food substitute that has mysteriously failed to catch on outside of the immobilized-hospital-patient market. After three, I was out of the hospital. After four, I started easing myself back into (remote) work. After a week, I flew cross-country. . . . and then I got the UTI. If this section sounds schizophrenic, it’s because it’s a compromise between an original draft where I said nothing went wrong and it was amazing, and a later draft written after a haze of bladder pain. Just don’t develop complications, that’s my advice. Still, I recently heard from the surgeon that my recipient’s side of the surgery was a success, that my kidney was in them and going fine - and that put things back into perspective. To a first approximation, compared to the inherent gravity of taking an organ out of one person and putting it in a second person and saving their life - it was all easy and everything went well. When I look back on this in a decade, I’ll remember it as everything being easy and going well. Even now, with some lingering bladder pain, modern medicine still feels like a miracle. VII. In polls, 25 - 50% of Americans say they would donate a kidney to a stranger in need. This sentence fascinates me because of the hanging “would”. Would, if what? A natural reading is “would if someone needs it”. But there are 100,000 strangers on the waiting list for kidney transplants. Between 5,000 and 40,000 people die each year for lack of sufficient kidneys to transplant. Someone definitely needs it. Yet only about 200 people (0.0001%) donate kidneys to strangers per year. Why the gap between 25-50% and 0.0001%? Some of you will suspect respondents are lying to look good. But these are anonymous surveys. Lying to themselves to feel good, then? Maybe. But I think about myself at age 20, a young philosophy major studying utilitarianism. If someone had asked me a hypothetical about whether I would donate a kidney to a stranger in need, I probably would have said yes. Then I would have continued going about my business, never thinking of it as a thing real-life people could do. Part of this would have been logistics. I wouldn’t have known where to start. Do you need to have special contacts in the surgery industry? Seek out a would-be recipient on your own? Where would you find them? But more of it would have been psychological: it just wasn’t something that the people I knew did, and it would be weird and alienating for me to be the only one. This is going to be the preachy “and you should donate too!” section you were dreading all along, but I’m not going to make a lot of positive arguments. If 90% of the people who answer yes on those surveys are lying to feel good, then only 3 - 5% really want to donate. But bringing the donation rate from 0.0001% of people to 3 - 5% of people would solve the kidney shortage many times over. The point isn’t to drag anti-donation-extremists kicking and screaming to the operating table. The point is to reach the people who already want to do it, and make them feel comfortable starting the process. 20-year-old me was in that category. The process of making him feel comfortable involved fifteen years of meeting people who already done it. During residency, I met a fellow student doctor who had donated. Later, I got involved in effective altruism, and learned that movement leader Alexander Berger - a guy who can easily direct millions of dollars at whatever cause he wants - had donated his personal kidney as well. Some online friends. Some people I met at conferences. And Dylan Matthews, who I kept crossing paths with (most recently at the Manifest journalism panel). After enough of these people, it no longer felt like something that nobody does, and then I felt like I had psychological permission to do it. (obviously saints can do good things without needing psychological permission first, but not everyone has to be in that category, and I found it easier to get the psychological permission than to self-modify into a saint6.) So I’m mostly not going to argue besides saying: this is a thing I did, it’s a thing hundreds of other people do each year, getting started is as simple as filling out a form, and if it works for you, you should go for it7. When I woke up in the recovery room after surgery, I felt great. Amazing. Content, peaceful, proud of myself. Mostly this was because I was on enough opioids to supply a San Francisco homeless encampment for a month. But probably some of it was also the warm glow of having made a difference or something. That could be you! VIII. The ten of you who will listen to this and donate are great. That brings the kidney shortage down from 40,000 to 39,990/year. Everyone knows we need a systemic solution, and everyone knows what that solution will eventually have to be: financial compensation for kidney donors. But so far they haven’t been able to get together enough of a coalition to overcome the usual cabal of evil bioethicists who thwart every medical advance. My kidney donation “mentor”8 Ned Brooks is starting a new push - the Coalition To Modify NOTA - which proposes a $100,000 refundable tax credit - $10,000 per year for 10 years - for kidney donors. There would be a waiting period and you’d have to get evaluated first, so junkies couldn’t walk in off the street and get $100K to spend on fentanyl. No intermediate company would “profit” off the transaction, and rich people wouldn’t be able to pay directly to jump in line. It would be the same kidney donation system we have now, except the donors get $100,000 back after saving the government $1MM+. (the libertarian in me would normally prefer a free market, but “avoid taxes by selling your organs” also has a certain libertarian appeal) This came up often when I talked to other donors. They all had various motivations, but one of the things they cared about was being able to advocate for these kinds of systemic changes more effectively. I personally have been wanting to push this in an essay here for a while, but it seemed hypocritical to play up the desperate kidney shortage while I still had two kidneys. Now I can support NOTA modification whole-heartedly . . . full-throatedly? . . . it’s weird how many of these adverbs involve claims to still have all of your organs. This is also one of the answers to the question I asked in section IV: how do you balance acts of heroic altruism that everyone will love you for vs. acts of boring autistic altruism that will make everyone hate you, but which will accomplish more good in the end?) Coalition To Modify NOTA is full of previous living kidney donors, who are using the moral clout and recognition they’ve gotten to get attention and change the system in an unglamorous way. I find this an admirable way of squaring the circle: do the flashy heroic things to gain social capital, then spend the social capital on whatever’s ultimately most important. If you get one takeaway from this, let it be that those guys who bought the castle were good guys. Two takeaways, and it’s that plus modify NOTA. Three takeaways, and you should feel permission to (if you want) donate a kidney. You can sign up here.9 Feel free to email me at scott@slatestarcodex.com if you have questions about the process. 1Further perspective: I’m 38, which gives me a 2/million total chance of dying per day. So the likelihood that I would die during my kidney operation equals the likelihood that I would die during a randomly chosen two months of everyday life. 2Maybe, kind of. Our knowledge of how radiation causes cancer comes primarily from Hiroshima and Nagasaki; we can follow survivors who were one mile, two miles, etc, from the center of the blast, calculate how much radiation exposure they sustained, and see how much cancer they got years later. But by the time we’re dealing with CAT scan levels of radiation, cancer levels are so close to background that it’s hard to adjust for possible confounders. So the first scientists to study the problem just drew a line through their high-radiation data points and extended it to the low radiation levels - ie if 1 Sievert caused one thousand extra cancers, probably 1 milli-Sievert would cause one extra cancer. This is called the Linear Dose No Threshold (LDNT) model, and has become a subject of intense and acrimonious debate. Some people think that at some very small dose, radiation stops being bad for you at all. Other people think maybe at low enough doses radiation is good for you - see this claim that the atomic bomb “elongated lifespan” in survivors far enough away from the blast. If this were true, CTs probably wouldn’t increase cancer risk at all. I didn’t consider myself knowledgeable enough to take a firm position, and I noticed eminent scientists on both sides, so I am using the more cautious estimate here. 3I told them I had an aunt who died of radiation-induced cancer. It’s true, but I feel grubby for bringing her into this; I thought doctors would be more likely to listen to an emotional story than cold logic. 4EAs have been debating the exact effectiveness of kidney donations for a long time. You can find good skeptical arguments by Jeff Kaufman and Derek Shiller, and good arguments in favor by Alexander Berger and Tom Ash. 5Outside of Philosophy 101 thought experiments, there’s a nonprofit that will often reimburse you for lost wages from your donation. 6Self-modifying into a person who can act boldly without social permission is a more general solution and has many other advantages. But the long version involves living a full life of accumulating moral wisdom, and the short version starts with removing guardrails that are there for good reasons. 7But here are some practical points you might not already appreciate: You shouldn’t have to pay much money. If, like me, you need to travel (eg to New York), kidney related charities will reimburse your travel costs (in theory, I haven’t yet proven this, and a few costs were illegible and I decided not to submit them).
Inline links: bumpy, 4, 5 - 7 extra years of life, improves quality of life, creates a “chain”, $5,000 - $10,000, 5, sacrifice their reputation on the altar of doing what was actually good instead of just good-looking, WaitlistZero, https://substackcdn.com/image/fetch/$s_!7c71!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F08cf5218-6398-4dfb-91a3-d5fc7989b754_765x642.png, polls, 5,000, 40,000, Manifest journalism panel, 6, filling out a form, 7, usual, 8, the, here, 9, 1, 2, Linear Dose No Threshold, this claim, 3, 4, Jeff Kaufman, Derek Shiller, Alexander Berger, Tom Ash, 5, 6, 7
So in late September 2023 - ten months after I started the process - I finally got fully cleared to donate, surgery set for October 12. VI. I knew, in theory, that anaesthetics existed. Still, it’s weird. One moment you’re lying on a table in the OR, steeling yourself up for one of the big ordeals of your life. The next, you’re in a bed in the recovery room, feeling fine. The operation - this thing you’ve been thinking about and dreading for months - exists only as a lacuna in your memory. Not even some kind of fancy lacuna, where you remember the darkness closing in on you beforehand, or have to claw yourself back into consciousness afterwards. The most ordinary of lacunas, like a good night sleep. There was no pain, not at first. The painkillers and nerve blocks lasted about a day after the surgery. By the time they wore off, it was more of a dull ache. The hospital offered me Tylenol, and I wanted to protest - really? Tylenol? After major surgery? But the Tylenol worked. Some people will have small complications (I am a doctor, pretty jaded, and my definition of “small” may be different from yours). Dylan Matthews wrote about an issue where his scrotum briefly inflated like a balloon (probably this is one of the ones that doesn’t feel small when it’s happening to you). I missed out on that particular pleasure, but got others in exchange. I had an unusually hard time with the catheter - the nurse taking it out frowned and said the team that put it in had “gone too deep”, as if my urinary tract was the f@#king Mines of Moria - but that was fifteen seconds of intense pain. Then a week afterwards, just when I thought I’d recovered fully, I got bowled over by a UTI which knocked me out for a few days. But overall, I was surprised by the speed and ease of my recovery. A few hours after the surgery, I walked a few steps. After a day, I got the catheter out and could urinate normally again. After two days, I was eating “SmartGel”, a food substitute that has mysteriously failed to catch on outside of the immobilized-hospital-patient market. After three, I was out of the hospital. After four, I started easing myself back into (remote) work. After a week, I flew cross-country. . . . and then I got the UTI. If this section sounds schizophrenic, it’s because it’s a compromise between an original draft where I said nothing went wrong and it was amazing, and a later draft written after a haze of bladder pain. Just don’t develop complications, that’s my advice. Still, I recently heard from the surgeon that my recipient’s side of the surgery was a success, that my kidney was in them and going fine - and that put things back into perspective. To a first approximation, compared to the inherent gravity of taking an organ out of one person and putting it in a second person and saving their life - it was all easy and everything went well. When I look back on this in a decade, I’ll remember it as everything being easy and going well. Even now, with some lingering bladder pain, modern medicine still feels like a miracle. VII. In polls, 25 - 50% of Americans say they would donate a kidney to a stranger in need. This sentence fascinates me because of the hanging “would”. Would, if what? A natural reading is “would if someone needs it”. But there are 100,000 strangers on the waiting list for kidney transplants. Between 5,000 and 40,000 people die each year for lack of sufficient kidneys to transplant. Someone definitely needs it. Yet only about 200 people (0.0001%) donate kidneys to strangers per year. Why the gap between 25-50% and 0.0001%? Some of you will suspect respondents are lying to look good. But these are anonymous surveys. Lying to themselves to feel good, then? Maybe. But I think about myself at age 20, a young philosophy major studying utilitarianism. If someone had asked me a hypothetical about whether I would donate a kidney to a stranger in need, I probably would have said yes. Then I would have continued going about my business, never thinking of it as a thing real-life people could do. Part of this would have been logistics. I wouldn’t have known where to start. Do you need to have special contacts in the surgery industry? Seek out a would-be recipient on your own? Where would you find them? But more of it would have been psychological: it just wasn’t something that the people I knew did, and it would be weird and alienating for me to be the only one. This is going to be the preachy “and you should donate too!” section you were dreading all along, but I’m not going to make a lot of positive arguments. If 90% of the people who answer yes on those surveys are lying to feel good, then only 3 - 5% really want to donate. But bringing the donation rate from 0.0001% of people to 3 - 5% of people would solve the kidney shortage many times over. The point isn’t to drag anti-donation-extremists kicking and screaming to the operating table. The point is to reach the people who already want to do it, and make them feel comfortable starting the process. 20-year-old me was in that category. The process of making him feel comfortable involved fifteen years of meeting people who already done it. During residency, I met a fellow student doctor who had donated. Later, I got involved in effective altruism, and learned that movement leader Alexander Berger - a guy who can easily direct millions of dollars at whatever cause he wants - had donated his personal kidney as well. Some online friends. Some people I met at conferences. And Dylan Matthews, who I kept crossing paths with (most recently at the Manifest journalism panel). After enough of these people, it no longer felt like something that nobody does, and then I felt like I had psychological permission to do it. (obviously saints can do good things without needing psychological permission first, but not everyone has to be in that category, and I found it easier to get the psychological permission than to self-modify into a saint6.) So I’m mostly not going to argue besides saying: this is a thing I did, it’s a thing hundreds of other people do each year, getting started is as simple as filling out a form, and if it works for you, you should go for it7. When I woke up in the recovery room after surgery, I felt great. Amazing. Content, peaceful, proud of myself. Mostly this was because I was on enough opioids to supply a San Francisco homeless encampment for a month. But probably some of it was also the warm glow of having made a difference or something. That could be you! VIII. The ten of you who will listen to this and donate are great. That brings the kidney shortage down from 40,000 to 39,990/year. Everyone knows we need a systemic solution, and everyone knows what that solution will eventually have to be: financial compensation for kidney donors. But so far they haven’t been able to get together enough of a coalition to overcome the usual cabal of evil bioethicists who thwart every medical advance. My kidney donation “mentor”8 Ned Brooks is starting a new push - the Coalition To Modify NOTA - which proposes a $100,000 refundable tax credit - $10,000 per year for 10 years - for kidney donors. There would be a waiting period and you’d have to get evaluated first, so junkies couldn’t walk in off the street and get $100K to spend on fentanyl. No intermediate company would “profit” off the transaction, and rich people wouldn’t be able to pay directly to jump in line. It would be the same kidney donation system we have now, except the donors get $100,000 back after saving the government $1MM+. (the libertarian in me would normally prefer a free market, but “avoid taxes by selling your organs” also has a certain libertarian appeal) This came up often when I talked to other donors. They all had various motivations, but one of the things they cared about was being able to advocate for these kinds of systemic changes more effectively. I personally have been wanting to push this in an essay here for a while, but it seemed hypocritical to play up the desperate kidney shortage while I still had two kidneys. Now I can support NOTA modification whole-heartedly . . . full-throatedly? . . . it’s weird how many of these adverbs involve claims to still have all of your organs. This is also one of the answers to the question I asked in section IV: how do you balance acts of heroic altruism that everyone will love you for vs. acts of boring autistic altruism that will make everyone hate you, but which will accomplish more good in the end?) Coalition To Modify NOTA is full of previous living kidney donors, who are using the moral clout and recognition they’ve gotten to get attention and change the system in an unglamorous way. I find this an admirable way of squaring the circle: do the flashy heroic things to gain social capital, then spend the social capital on whatever’s ultimately most important. If you get one takeaway from this, let it be that those guys who bought the castle were good guys. Two takeaways, and it’s that plus modify NOTA. Three takeaways, and you should feel permission to (if you want) donate a kidney. You can sign up here.9 Feel free to email me at scott@slatestarcodex.com if you have questions about the process. 1Further perspective: I’m 38, which gives me a 2/million total chance of dying per day. So the likelihood that I would die during my kidney operation equals the likelihood that I would die during a randomly chosen two months of everyday life. 2Maybe, kind of. Our knowledge of how radiation causes cancer comes primarily from Hiroshima and Nagasaki; we can follow survivors who were one mile, two miles, etc, from the center of the blast, calculate how much radiation exposure they sustained, and see how much cancer they got years later. But by the time we’re dealing with CAT scan levels of radiation, cancer levels are so close to background that it’s hard to adjust for possible confounders. So the first scientists to study the problem just drew a line through their high-radiation data points and extended it to the low radiation levels - ie if 1 Sievert caused one thousand extra cancers, probably 1 milli-Sievert would cause one extra cancer. This is called the Linear Dose No Threshold (LDNT) model, and has become a subject of intense and acrimonious debate. Some people think that at some very small dose, radiation stops being bad for you at all. Other people think maybe at low enough doses radiation is good for you - see this claim that the atomic bomb “elongated lifespan” in survivors far enough away from the blast. If this were true, CTs probably wouldn’t increase cancer risk at all. I didn’t consider myself knowledgeable enough to take a firm position, and I noticed eminent scientists on both sides, so I am using the more cautious estimate here. 3I told them I had an aunt who died of radiation-induced cancer. It’s true, but I feel grubby for bringing her into this; I thought doctors would be more likely to listen to an emotional story than cold logic. 4EAs have been debating the exact effectiveness of kidney donations for a long time. You can find good skeptical arguments by Jeff Kaufman and Derek Shiller, and good arguments in favor by Alexander Berger and Tom Ash. 5Outside of Philosophy 101 thought experiments, there’s a nonprofit that will often reimburse you for lost wages from your donation. 6Self-modifying into a person who can act boldly without social permission is a more general solution and has many other advantages. But the long version involves living a full life of accumulating moral wisdom, and the short version starts with removing guardrails that are there for good reasons. 7But here are some practical points you might not already appreciate: You shouldn’t have to pay much money. If, like me, you need to travel (eg to New York), kidney related charities will reimburse your travel costs (in theory, I haven’t yet proven this, and a few costs were illegible and I decided not to submit them).
Inline links: polls, 5,000, 40,000, Manifest journalism panel, 6, filling out a form, 7, usual, 8, the, here, 9, 1, 2, Linear Dose No Threshold, this claim, 3, 4, Jeff Kaufman, Derek Shiller, Alexander Berger, Tom Ash, 5, 6, 7
Open Thread 306
December 11, 2023 · Original source
6: On Friday I asked people with interesting charitable projects to apply for the new round of ACX Grants. Reading the first few applications, I’m seeing some that would be a better match for angel investors. If you’re in this category and want to see some proposals, please email me at scott@slatestarcodex.com.
Inline links: apply for the new round of ACX Grants
Open Thread 310
January 08, 2024 · Original source
1: I‘m looking for an EEG expert, a TCMS expert, and a very-finicky-high-level statistics expert to (on a volunteer basis) review certain ACX Grants proposals. This would require anywhere between 10 - 60 minutes of work (depending on how thoroughly you wanted to review it) looking over one or two grant proposals in your area and telling me how likely they are to work. If this is you, please email me at scott@slatestarcodex.com. Please don’t apply if you’re involved in any of the grant proposals under review. Update: I’ve already gotten enough volunteers for this, thank you!
Open Thread 315
February 12, 2024 · Original source
2: Related: I have a few (hopefully very short) questions for an attorney who knows things about charity and tax deductions. I would be happy to pay your normal rate. If you’re willing to help, please email me at scott@slatestarcodex.com. Already got a volunteer, thank you everyone who emailed me!
Who Predicted 2023?
March 05, 2024 · Original source
Small Singapore gave me no information except this pseudonym and won’t answer any emails. I don’t even know how to give them their prize money. Please email me at scott@slatestarcodex.com if this is you.
Open Thread 335
June 24, 2024 · Original source
3: I may have to remove one of the book review finalists, Sixth Day And Other Tales, for voting irregularities. If you wrote the review, please get in touch with me (scott@slatestarcodex.com) so we can try to figure out what happened.
Open Thread 387
June 23, 2025 · Original source
1: I’m looking for a VC/investment/nonprofit lawyer who can answer some questions for ACX Grants, most likely ending in drawing up a contract for something like a grant which is convertible to equity if the grantee becomes a startup (or if this is a bad idea, explaining why). I will pay your normal rate for this service, I’m just asking here because I trust people in the ACX community more than whoever lands at the top of a Google search. Email scott@slatestarcodex.com if interested.
Now I Really Won That AI Bet
July 08, 2025 · Original source
Not to toot my own horn, but two years ago you were naively saying we'd have GPT-like models scaled up several orders of magnitude (100T parameters) right about now (https://slatestarcodex.com/2020/06/10/the-obligatory-gpt-3-post/#comment-912798).
Inline links: https://slatestarcodex.com/2020/06/10/the-obligatory-gpt-3-post/#comment-912798
My position has always been that there’s no fundamental difference: you just move from matching shallow patterns to deeper patterns, and when the patterns are as deep as the ones humans can match, we call that “real understanding”. This isn’t quite right - there’s a certain form of mental agency that humans still do much better than AIs - but again, it’s a (large) difference in degree rather than in kind.
Inline links: My position has always been, we call that
Thanks to everyone who helped operationalize, judge, and generate images for this bet. Vitor, you owe me $100, email me at scott@slatestarcodex.com.
SSC15 mentions across 15 issues

SSC is a recurring publication in the Astral Codex Ten archive, appearing 15 times across 15 issues between January 21, 2021 and July 26, 2025. The archive places it in contexts such as "An SSC reader admitted to telling a New York Times reporter that SSC was interesting"; "SSC posts like If Only Turing Was Alive To See This or Bulls**t Jobs (Part 1 of ∞)"; "In SSC Endorses Clinton, Johnson, Or Stein I wrote about my reasons for opposing Trump". It most often appears alongside New York Times, Scott, Substack.

Article page
SSC
Mention count
15
Issue count
15
First seen
January 21, 2021
Last seen
July 26, 2025
Outbound links
Issue trail
Related pages
Source context
Still Alive
January 21, 2021 · Original source
No, seriously, it was awful. I deleted my blog of 1,557 posts. I wanted to protect my privacy, but I ended up with articles about me in New Yorker, Reason, and The Daily Beast. I wanted to protect my anonymity, but I Streisand-Effected myself, and a bunch of trolls went around posting my real name everywhere they could find. I wanted to avoid losing my day job, but ended up quitting so they wouldn't be affected by the fallout. I lost a five-digit sum in advertising and Patreon fees. I accidentally sent about three hundred emails to each of five thousand people in the process of trying to put my blog back up.
Inline links: deleted my blog
And also - I am maybe the worst person possible to argue that this doesn't matter. Almost everything good in my life I've gotten because of you. I met most of my friends through blogging. I met my housemates, who are basically my family right now, through blogging. I got introduced to my girlfriend by someone I know through blogging. My patients are doing better than they could be - some of them vastly better - because of things I learned from all of you in the process of blogging. Most of the intellectual progress I've made over the past ten years has been following up on leads people sent me because of my blogging. To the degree that the world makes sense to me, to the degree that I've been able to untie some of the thornier knots and be rewarded with the relief of mental clarity, a lot of it has been because of things I learned while blogging. However many over-the-top dubious claims you want to make about how much I have improved your life, I will one-up you with how much you have improved mine. And after reading a few hundred of your emails, I've realized, crystal-clear, that I am going to be spending the rest of my life trying to deserve even one percent of the love you've shown and the gifts you've given me.
Inline links: intellectual progress I've made over the past ten years
As I was trying to figure out how this was going to work financially, Substack convinced me that I could make decent money here. With that in place, I felt like I could also take a chance on starting my dream business. You guys have had to listen to me write ad nauseum about cost disease - why does health care cost 4x times more per capita than it did just a generation ago? I have a lot of theories about why that happened and how to fix it. But as Feynman put it, "what I cannot create I cannot understand". So I'm going to try to start a medical practice that provides great health care to uninsured people for 4x less than what anyone else charges. If it works, I plan to be insufferable about it. If it doesn't, I can at least have a fun conversation with Alex Tabarrok about where our theories went wrong. Since I'm no longer protecting my anonymity, I can advertise it here - Lorien Psychiatry - though I'm not currently accepting blog readers as patients, sorry.
Inline links: cost disease, Lorien Psychiatry
Logistics
January 22, 2021 · Original source
All "important" content will be freely available regardless of subscription status, but subscribers will get a little extra. In particular, there will be one subscribers-only Open Thread a week (on Wednesdays), along with the normal free Open Thread on Sundays, and occasional subscriber-only AMA (ask me anything) threads. I also plan to occasionally post shorter or lighter content for subscribers only, maybe once or twice a month. This would be along the lines of SSC posts like If Only Turing Was Alive To See This or Bulls**t Jobs (Part 1 of ∞). I might also paywall a few very impulsive Culture War posts, just to prevent them from going viral. I predict this will be less than 10% of content, and less than 1% of content weighted by some measure of importance.
Inline links: If Only Turing Was Alive To See This, Bulls**t Jobs (Part 1 of ∞)
If you took out advertising that got disrupted and I didn't pay you back, or I paid you the wrong amount, please contact me at scott[at]slatestarcodex[dot]com. If I have some other SSC-related obligation to you that I forgot about, remind me of that too.
Mantic Monday: Grading My Trump Predictions
April 19, 2021 · Original source
As far as I know, the first post I wrote about Trump was this one, where I argued against the prevailing narrative that Trump was practicing "the politics of white insecurity" or had an unusually white base of support (for a Republican). I wrote that Trump seemed to be doing pretty well (for a Republican) among blacks and Hispanics, and concluded that:
Inline links: this one
In SSC Endorses Clinton, Johnson, Or Stein I wrote about my reasons for opposing Trump. There's a lot in here and I'll try to extract relevant-prediction-shaped things - but be sure to read the post to see how honest you think I'm being in my extractions.
Inline links: SSC Endorses Clinton, Johnson, Or Stein
I think this basically happened. See eg Trump: A Setback For Trumpism. A.
Inline links: Trump: A Setback For Trumpism
Open Thread 175
June 06, 2021 · Original source
No direct inline source block was recovered for this mention.
Links For June
June 23, 2021 · Original source
25: Related: when surveyed privately, most Saudi men support women working outside the home. But in public they oppose it because they think everyone else opposes it and don’t want to get in trouble! Relevant Scott Aaronson lecture and SSC story.
Inline links: when surveyed privately, most Saudi men support women working outside the home, Scott Aaronson lecture, SSC story
ACX Reader Research Survey: Call For Submissions
June 25, 2021 · Original source
If you're a researcher (professional or amateur) who wants to ask questions to the ACX readership, please send me an email at scott@slatestarcodex.com, by July 10, with:
Highlights From The Comments On Missing School
August 26, 2021 · Original source
My neighbors have a four year old kid, and every day she comes up with games at least as imaginative as riding a toy horse and pretending that it’s real. The hobbyhorsing comment gets dangerously close to the idea that kids need adults to force them to play pretend, according to predetermined adult-made rules, or else they’ll never learn to have imagination. But if you just stop forcing kids to be sitting in school, or sitting in their room doing homework, during the time when they would otherwise be inventing these things, they will come up with things so much more brilliant than this. My own teenage hobbies looked to all the world like me sitting on a laptop, but I will put them up against hobbyhorsing on any axis you might care about, and I remain deeply grateful that I had enough time off from school and its stupid forced fake fun to develop them.
Inline links: teenage hobbies
…sorry for getting so animated here, but this topic is my hobbyhorse. On another level, I 100% get where this stuff is coming from. I don’t have kids yet, but even now I’m scared that my future kid might be an Internet addict. Or wander into the wrong part of social media and become alt-right, or dirtbag left, or one of those people who quote-tweet Vox articles with the comment “This”. I laughed at my parents for having these kinds of fears, and my parents’ fears ended up completely wrong, and now I have those same dumb fears in turn. I don’t plan to fully unschool my children. I do plan to make them “try new things”, maybe even including Finnish hobbyhorsing. If they seem too relaxed all the time, I will have the usual parental worries that they’re getting soft and flabby and will not survive the winter. We just know so little about child-rearing that any deviation from the norm is scary, and there does seem to be a norm of “make sure your kids have some really tough experiences”. I’ve written about this before here. This kind of parent-child conflict is inevitable. Maybe the best I can do is try to avoid the very specific problems that traumatized me personally.
Inline links: here
Highlights From The Comments On Xi Jinping
April 28, 2022 · Original source
— iVarun making what I interpret as a similar point:
Inline links: making
— Jaysmt writes:
Inline links: writes
— Stitched together from Yeangster and FiveHourMarathon:
Inline links: Yeangster, FiveHourMarathon
Why Do People Prefer My Old Blog's Layout To Substack's?
May 04, 2022 · Original source
I think that all of this together is pretty strong evidence that most people prefer the old Slate Star Codex layout to the new Substack-mandated ACX.
This is weird, because the old Slate Star Codex layout was - mostly something I threw together in a day or two. I am widely recognized as not having taste, and the only website I ever developed before this was a Geocities site that was even worse. A few of my web designer friends helpfully smoothed over some rough edges (in one case literally, Apple-style), but the basic design remained my amateurish rush job.
Slate Star Codex: Original version Slate Star Codex: After some web designer friends spruced it up Meanwhile, Substack is run by tech industry veterans who probably hired a team of really experienced designers and thought really hard about every aspect of their product. It doesn’t make any sense at all for me to do a better job than them. So what’s going on?
Inline links: https://substackcdn.com/image/fetch/$s_!i2My!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Ff9c183db-1f13-4bb9-9d8a-9194b82a8599_1591x834.png
Birth Order Effects: Nature vs. Nurture
June 01, 2022 · Original source
In 2018, thanks to the 8,000 of you who filled out the Slate Star Codex Reader Survey, I discovered that higher birth order siblings were much more likely to read this blog than later-borns:
Source here; thanks to Emile for the graph That is, of people with exactly one sibling who read this blog, about 72% of those are the older of the two children in their family, compared to only 29% who are the younger of the two (where by chance we would expect 50-50). This was surprising, because at the time lots of studies had shown there weren’t really birth order effects (that is, firstborn siblings had no major personality differences compared to laterborns). I theorized that maybe for some reason it was easier to find by looking in a heavily-selected group of people and asking members about their birth order, compared to getting a random sample and trying to correlate birth order with things. Sure enough, later amateur research revealed strong birth order effects in physics Nobelists and great mathematicians (and potentially Harvard philosophy students). Given that readers of this blog are highly-educated (about 37% have masters or PhDs) and mostly in STEM (41% programmers of some sort), plausibly birth order affects something about intelligence, education, or STEM orientation (somebody should check literature and peace Nobelists!) Followup research by Less Wrong user “Bucky” determined that the effect fell off with age gaps; the closer in age you are to your sibling, the stronger an effect birth order has: I continue to be confused by this extremely strong effect which most of what we know about psychology says shouldn’t exist. So in 2020, I asked my readership some even more complicated questions about their family situations, in the hopes of teasing out why this is happening. I’ll be honest - I think I over-reached here. I’m not very good at statistics, and this is a weird statistical problem: the dependent variable is whether the case ended up in the sample at all! I wasn’t able to figure out a good way to use most of the data you gave me. And the stuff I did use, I mostly made work by slicing and dicing so much that the sample size got pretty low, even when I started from 8,000 survey respondents. I’m publishing this in the hopes that it will inspire someone else will more domain knowledge to do a sophisticated re-analysis. But for now, here’s what I’ve got. Confirming Old Results With The 2020 Dataset The 2020 dataset also shows a strong birth order effect in people who read this blog. In 2018, among people with exactly one sibling, respondents were 2.51x more likely to be the older sibling than the younger (72%). In 2020, the number was 2.39x (71%). Change with age gap is shown below: Note truncated y-axis This seems to be broadly similar to the 2018 results. There was an anomaly in 2018 where some categories seemed to drop off surprisingly quickly between 7 and 8 years, which I thought might be meaningful. But Bucky’s analysis showed this was probably a coincidence, and indeed it doesn’t show up in the new data. Does Sex Matter For Birth Order Effects? I wondered if there might be a smaller birth order effect for people with opposite-sex siblings. One possible explanation for the birth order effect is children trying to get out of the “shadow” of their older sibling and differentiate themselves in some way. But children are already pretty different from an opposite-sex sibling and might feel less pressure in that situation. But this doesn’t seem to be true. The percent firstborns in sibships of two on the survey was 70% among people with a same-sex sibling, and 71% among people with an opposite-sex sibling; no real difference. Do Biological Or Social Factors Produce Birth Order Effects? All previous results are for biological siblings. But it might be worth asking the question separately for biological vs. social siblings. One could imagine either biological or social causes of the birth order effect. For example, some biologists speculate that pregnancy depletes choline, that it takes a long time for choline stores to recover, and that a second child born within that window will have less choline available to build their nervous system, which could be bad. But also: maybe if you have an older sibling, your parents can’t pay as much attention to you when you’re a kid, and you learn less. This was very hard to test for. Again, I wasn’t able to use traditional statistical tests because I’m trying to determine whether someone was in the sample at all, rather than whether two variables are related. It was easy to check normal birth order because I could compare people with exactly one older sibling to people with exactly one younger. It was harder to do with things like adoption in the mix, because that could introduce a bias: are parents more likely to adopt out their first child (because that’s when they’re most unprepared for parenting)? Are adoptive parents more likely to adopt when they already have children of their own (because they’re comfortable with child-rearing) or less likely (because they really want kids and can’t have them biologically)? I had no way of getting controls for these questions and so I couldn’t do a lot of the analyses I wanted. But I did two relatively weak analyses instead: First, I took the entire set of people in weird situations - people who said their number of social siblings was not the same as their number of biological siblings. In this group of 174 people, biological firstborns made up only 61% of respondents with one sibling, notably less than the 71% in the entire sample. That suggests that the unusual social situations are having an effect. You shouldn’t update on the fact that it’s still higher than 50%, because some of the people’s weird social situations don’t affect their status as social firstborns. Second, I tried to compare people who were firstborn under a biological definition but not a social definition, to people in the opposite situation. There were 40 people in the sample who were biological but not social firstborns, and 60 people who were social but not biological firstborns. Again, this suggests that social firstborn-ness is more important as an explanation than biological firstbornness, although it doesn’t rule out the latter having some effect. I additionally tried to compare two different types of social firstbornness - one where no older siblings lived in the house when you were growing up, and one where your parents had never parented another child. There weren’t many people discordant on these two measures (29 vs. 20 respectively), but for what it’s worth, the ratio was in favor of the first type. Since I wasn’t very confident in my analytical abilities here, I asked Bucky, who knows more and who did good work analyzing the last dataset, to look into this (we worked independently and didn’t tell each other our results until we were done). He writes: It seems to me that the effect is entirely caused by social siblings. I filtered for only people with 1+ biological but 0 social siblings. There were 24 oldest biological children in this group vs 21 2nd children (or 25 youngest children with a large overlap between 2nd oldest and youngest groups). This significantly differed from the ~0.7 fraction of older children in the general surveys (p<0.05 or p<0.01 depending on whether I use the 2nd oldest or youngest as the comparison) and is close to a 1:1 ratio. I then filtered for only people with 0 biological but 1+ social siblings. There were 51 oldest social children and 23 2nd children (or 26 youngest children again with large overlap). This differs significantly from a 1:1 ratio (p<0.001 or p<0.01) and matches pretty well with the 70% of the Birth order effect. I tried doing some filtering by age gap (2-7 years) and the results were compatible with the same result, although the sample sizes got too small to really conclude anything. For dealing with answers left blank I treated them as 0 unless it looked like the whole section had been missed out. If I ignored any respondents who left something blank I got similar results (smaller sample size but ratios are even further in favour of the social hypothesis). I checked for categorisation errors by looking at respondents’ descriptions of their families and they mainly matched pretty well with the numbers given so I think the data should be considered reliable. I did chuck a couple of results out which seemed unreliable and there was one row which was a repeat so your numbers might not match up exactly (plus you have the non-public data). There are a couple of confounders in the analysis such as whether e.g. oldest children are more likely to be adopted or how much you know about your birth family depending on how old one was when the family unit changed etc. I don’t see a realistic way to account for these but I also can’t see any of them being big enough to explain the difference in the results. Hopefully this matches up with what you found! I think this suggests birth order effects are social rather than biological. So What Causes Birth Order Effects? Based on this analysis, it seems unlikely they are biological. Based on my very weak sub-analysis, and on their tendency to decay with larger age gaps, it seems they have more to do with the social presence of a sibling in the house than with any changes in parenting style (ie your parents learn to parent differently). Two explanations that satisfy both those criteria: Parents are able to devote their full attention to parenting their first child, but only half of their attention to parenting their second. Firstborns get more quality time with their parents during the first few years of childhood.
Inline links: here, physics Nobelists, great mathematicians, Harvard philosophy students, Followup research, https://substackcdn.com/image/fetch/$s_!jKaz!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F4995a838-7372-40dc-8e51-1b35c811bd43_523x388.png, some even more complicated questions about their family situations, https://substackcdn.com/image/fetch/$s_!CMuv!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F8042c21d-a6b7-48f9-bbcc-daf8c136953c_497x339.png
Finally, other people might be able to extract more signal out of this than I was. If you’re interested, you can find the raw data, the original question list, and a description of how to use them here. Note that a few people refused permission for me to republish their data, so you will probably get slightly different numbers than I did.
Inline links: here
Open Thread 258
January 08, 2023 · Original source
This is the weekly visible open thread. Post about anything you want, ask random questions, whatever. ACX has an unofficial subreddit, Discord, and bulletin board, and in-person meetups around the world. 95% of content is free, but for the remaining 5% you can subscribe here. Also:
Inline links: subreddit, Discord, bulletin board, in-person meetups around the world, here
6: Also, many, many of you commented that Bob and Ramchandra were just “reinventing the wheel” and antistocks were the same as some existing financial product, although none of you could agree on which existing product it was. See the cases for bucket shops, call options, equity swaps / total return swaps, dividend derivatives, and (inevitably) prediction markets. Also, several people chimed in to say they were working on something similar on the blockchain, including Tracer and Synthetix. I hope I don’t need to add the disclaimer that if you invest in a blockchain product based on a Bay Area House Party post, then you will lose all your money faster than anyone has ever lost all of their money before in all of history.
Inline links: bucket shops, call options, equity swaps / total return swaps, dividend derivatives, prediction markets, Tracer, Synthetix
7: People often ask me for psychiatrist/therapist recommendations. I don’t have any especially good ones, although a while back I got SSC readers to create this reference. But I notice there’s nobody in Austin on there and I have gotten an Austin-based request specifically. If anyone knows good psychiatrists, therapists, or couples counselors in Austin (or licensed to work in Texas), please let me know.
Inline links: this reference
Highlights From The Comments On IRBs
April 17, 2023 · Original source
Regarding (2), see the full story of my IRB experience written up here for how the attempt to get a waiver of consent went.
Inline links: the full story of my IRB experience written up here
NoIndustry9653 from the subreddit writes:
Inline links: writes
OwenQuillion gives a longer explanation:
Inline links: gives a longer explanation
Open Thread 344
August 26, 2024 · Original source
This is the weekly visible open thread. Post about anything you want, ask random questions, whatever. ACX has an unofficial subreddit, Discord, and bulletin board, and in-person meetups around the world. 95% of content is free, but for the remaining 5% you can subscribe here. Also:
Inline links: subreddit, Discord, bulletin board, in-person meetups around the world, here
Introducing AI 2027
April 03, 2025 · Original source
No direct inline source block was recovered for this mention.
Your Review: The Astral Codex Ten Commentariat (“Why Do We Suck?”)
July 26, 2025 · Original source
Complexity of thought – Perhaps the most important feature distinguishing the ACX Commentariat from other, lesser, blogs is that some really smart people comment here and give novel and well-nuanced takes on a topic. If this ever disappeared it would not matter about any of the other three features, because the Commentariat would effectively be dead anyway. To me, these broad categories represent the unique and positive features of the SSC/ACX Commentariat, and the extent to which they are present is a reasonable indicator of comment section quality, especially if they are all present at the same timepoint and that timepoint happens to line up with peak engagement in 2016 (this is foreshadowing). To generate data on the ACX Commentariat, I scraped the comments section of every post Scott has made since 2013. The Old Ones whisper of a blog that existed before even Slate Star Codex, but since I’m not 100% certain we’re encouraged to talk about the older blog (and nobody dates the golden era of Scott’s writing to pre-2013 anyway) I kept my scraping to just the two websites we’re definitely allowed to talk about; Slate Star Codex (SSC) and Astral Codex Ten (ACX). The main points of failure with my scraping were Subscriber-only threads (which my algorithm virtuously refused to read as it wasn’t a subscriber) and battling with the Substack UI to get all the comments to load for me simultaneously on larger threads. Nevertheless, between my incompetent code and the jaunty Substack UI I only dropped a few comments on even very long threads, so I figured the data scrape would be adequate for the use-case I had for it. I then used a bunch more janky code (some written by me, some written by ChatGPT) to try and quantify the levels of depth, freedom, politeness and complexity of each comment. I captured 2460 individual posts, and approximately 1.8m comments. Of the 24,486 unique comment authors, around 40% have made only one comment to the blog. The most prolific poster is the irrepressible Deiseach, at 20,685 contributions. Deiseach is also the only commentor to have made a comment on both the first post in my sample and the last, so has been with the blog a very long time! Only one other commentor has made more contributions than Scott (11,249), and this is John Schilling (11,607). The quality of data on individual users is not great for the ACX era (Substack seems to record missing author data in a few different ways, and sometimes swallow data for no reason) but I’m happy to give the rank ordering of anyone else who cares to know their specific level of clout in this niche community - I myself am the 799th most prolific contributor to the comments section (225 comments). I’m also delighted to share my raw data with anyone interested – the summary statistics per post are here. The scraped comments themselves are about 2Gb so I don’t know where I can host them but if anyone has any ideas (and Scott doesn’t mind) I’ll share them too. I know that some of the post titles seem to have turned into hieroglyphics, but as far as I can tell it is cosmetic only and won’t affect any of the actual data – it is a symptom of a cool hidden feature of Microsoft Excel where it open UTF-8 encoded CSVs in a way that garbles special characters for no particular reason. Considering each of these factors in turn: Depth of engagement with a topic
Inline links: first post, the last, here
The SSC-era is highlighted in blue. You can see that it shows something a bit like a classic sigmoidal adoption curve (but wearing a top hat). Post engagement starts low, before rapidly shooting up in 2014-15. It peaks in April 2016 – which is highlighted in red in this and all subsequent graphs so you can track peak engagement - before dropping back to a steady level of around 400-600 comments per post for the next three years. Notably, the run of posts that most people regard as being the ‘Golden Age’ for Scott’s writing happens much earlier than peak engagement with the comments section. People disagree about where this run of exceptionally good posts in quick succession start and ends, but I think you could safely say it has definitely begun by the time of The Control Group is Out of Control (although I would date it a little earlier, personally) and ends with either The Toxoplasmosa of Rage or Untitled – basically 2014 has a high density of ‘important’ posts.
Inline links: The Control Group is Out of Control, Toxoplasmosa of Rage, Untitled
This graph shows that around 9% of comments will contain at least one token indicating the comment is discussing a sensitive topic, with a range of about 6% to 14%, disregarding the very early years where small sample size made the data more variable. There wasn’t any one ‘sensitive’ token in particular which correlated exceptionally well with the rise and fall of this 6% to 14%, which implies to me that we have correctly identified a general factor of ‘willingness to discuss sensitive topics’ (or possibly that the peaks and troughs correspond to peaks and troughs in the external landscape – ie specific touchpoints and lulls in the Culture War – which would also be fine for the purpose we’re putting it to). This is an imperfect measure because it only tracks if someone is using a sensitive phrase and not whether they are using it in a heretical way (cf. ‘fifty Stalins’ here). However, I thought in the context of ACX posts the approach was probably reasonable – sensitive phrases are only likely to appear if they are being discussed a lot, and we know from the previous section that discussion depth is high both now and during the 2016 peak engagement period. It isn’t necessarily true that deep discussion implies spirited debate - some political discussions on reddit can go into the thousands of comments without anyone ever actually expressing a counter-orthodoxy view – but I think in the specific context of ACX it is reasonable, because we don’t generally have norms of expressing substanceless agreement. Hopefully, therefore, the changing ratio of socially or professionally sensitive phrases to phrases not included in my dictionary would tell us something about the willingness of the comment section to engage in potentially emotive discussions at any point in time. The relationship of occurrence of these tokens to engagement with the comment section is hard to draw clear conclusions from – although the peak does indeed look to be about 2016 or 2017 the data are noisy, and strongly affected by the choice of words to include in my dictionary. I picked the dictionary before I saw the data, but perhaps a different set of words would have given a different result, especially if I had a better way of identifying sensitive discussions around COVID (‘ivermectin’ was the only COVID-related word I could think of that became politicised in the same way ‘microaggression’ or ‘misgender’ did). Nevertheless, I would say this gives some weak support to the idea that 2016 was a turning point in SSC Commentariat free speech norms (and strong support to the idea that the start of ACX was a low point for discussion of sensitive topics) I include below a few specific sensitive phrases which I thought were interesting. Do note the different scales on each graph. Of particular interest to me is the ‘SJW’ graph, which has a really clear peak at exactly the high point of Commentariat engagement. I will return to this graph later in the review. Politeness
Inline links: here, https://substackcdn.com/image/fetch/$s_!DD3w!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd75c3c55-0fc8-4c3e-bd67-7d1f406d2df5_723x428.png
Science10 mentions across 10 issues

Science is a recurring publication in the Astral Codex Ten archive, appearing 10 times across 10 issues between December 28, 2021 and October 17, 2025. The archive places it in contexts such as "has written pieces for Science"; "Nature , and Science . They both publish articles in all scientific fields"; "Science is only slightly younger, having been founded in 1880". It most often appears alongside Nature, FDA, Scott.

Article page
Science
Mention count
10
Issue count
10
First seen
December 28, 2021
Last seen
October 17, 2025
Outbound links
Issue trail
Related pages
  • Nature 5 shared issues
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ACX Grants Results
December 28, 2021 · Original source
The Segura Lab at Duke, $50,000, to continue work on materials that promote healthy tissue regrowth after stroke. They say their experiments are difficult to fund because regrowing dead brain tissue is a long shot that requires a lot of out of the box thinking and is hard to explain. If you want to learn more about their work, check out http://seguralab.duke.edu. If you’re a stroke survivor and want to share your story, they’d like you to check out their Patient Connection page. They’re also looking for help spreading their ideas. If you have knowledge of both science and writing/visual communication, apply to work with them here; if you want to donate, you can do so here.
Inline links: The Segura Lab, http://seguralab.duke.edu, Patient Connection page, here, here
Spencer Greenberg, $40,000, as seed money for his project to produce rapid replications of high-impact social science papers. Right now, when a new social science paper comes out, we often have to wait as long as several months to discover that it was false. Spencer and his team dream of a world where we can learn that almost immediately, soon enough that it's within the same news cycle and the journals involved feel kind of bad about it. This money will sponsor a pilot, after which he’ll be seeking additional funding - if you think you can help, you can reach him here. Spencer's been involved in rationality and EA about as long as either has existed, blogs at Optimize Everything, is the founder of ClearerThinking.org (which offers free digital tools related to rationality, decision-making and happiness) and runs the Clearer Thinking podcast, with guests including Daniel Kahneman, Tyler Cowen, and Sam Bankman-Fried.
Inline links: here, Optimize Everything, ClearerThinking.org, Clearer Thinking podcast, Daniel Kahneman, Tyler Cowen, Sam Bankman-Fried
Alfonso Escudero, $75,000, to create a platform for scientific collaborations. Alfonso and his team already made something like this for COVID research, which got 40,000 scientists to sign up, matched collaborator requests to experts willing to help, and resulted in some useful papers. Now they want to expand this model to other types of science. My father has been stalled on an important research project for years for lack of the right kind of statistician; Crowdfight (or whatever the final name turns out to be) aims to take requests like this and process them within 72 hours. I regret only being able to fund this at the minimum level, but I'm pretty sure that once they're up and running they'll be able to prove their value to richer people's satisfaction. You can also contribute by donating, by joining their community (if you want to be matched with scientists who might need your expertise) or, if you’re a professional scientist, by using their service to find a collaborator (it's free).
Inline links: something like this, some useful papers, donating, joining their community, using their service to find a collaborator
Your Book Review: Making Nature
May 20, 2022 · Original source
The world of scientific publishing is organized as a hierarchy of status, much like the hierarchy of angels in the Abrahamic religions. At the bottom are the non-peer-reviewed blog posts and Twitter threads. Slightly above are the preprint servers like arXiv, and then big peer-reviewed journals like PLOS One. Above those are all the field-specific journals, some with higher reputation than others. And at the top, near the divine presence, are the CNS journals: Cell, Nature, and Science.
For an actual hierarchy of journals based on citation data, see this paper, which puts Nature and Science at the top. Might be worth mentioning that it comes from a journal in the Nature Publishing Group family. Leaving aside Cell, a more specialized biology journal that seems to have gotten into the CNS acronym the same way Netflix got into the FAANG acronym, Nature and Science are very similar. They both publish articles in all scientific fields. They both date from the 19th century. They’re published weekly. They jointly won a fancy prize for services to humanity in 2007. And having your paper in either is one of the best things that can happen to a scientist’s career, thanks to their immense prestige. But how, exactly, did Nature and Science become so prestigious? This is the question I hoped Making Nature: The History of a Scientific Journal, a 2015 book by historian of science Melinda Baldwin, might answer. It focuses on Nature, but much of its lessons can likely be extrapolated to Science considering their similarity. I grew curious about this when I realized that most researchers treat journal prestige as a given. Everyone knows that Nature and Science matter enormously, yet few would be able to say why exactly. But this is important! Prestigious institutions, from universities to media companies to major sports competitions, have a huge impact on the world. It’s useful to understand how they came to be, beyond “being famous for being famous.” One reason this is more difficult than it sounds is that we often settle for superficial answers. Selectivity, for instance, is a common explanation: prestige simply comes from obtaining what is hard to obtain, such as a Harvard degree, an Olympic medal or a Nobel Prize. Nature is indeed highly selective, accepting less than 10% of submitted articles (and the vast majority of papers are not even deemed worthy of a submission to Nature by their authors). Yet harsh selectivity alone cannot explain prestige, or it would be trivial to launch a prestigious journal or university just by setting an artificially low acceptance rate. Another facile explanation is longevity. It’s true that prestigious institutions are often old, and indeed Nature has been around for more than 150 years since its birth in 1869. Science is only slightly younger, having been founded in 1880. But there are many older scientific journals: the oldest one, the Philosophical Transactions of the Royal Society, was created two hundred years before Nature, in 1665. Then there are more recent publications that are prestigious: Cell, for instance, was founded in 1974. The correlation between prestige and longevity is real, but imperfect. It also says nothing of causation: does longevity cause prestige, or does prestige cause longevity? What matters is not the span of time per se, but the specific events that happened — in other words, the history. Making Nature, while not specifically about prestige, gives us exactly that. We’ll first examine the origins of Nature and how it disrupted the publishing landscape of its time (Part I). Then we’ll study the factors that allowed it to build a reputation during its first century of existence (Part II). We’ll end with a focus on the 1970s, when selectivity and prestige suddenly became important to Nature and scientific publishing in general (Part III). I. On the Origins of Nature The story begins with Nature’s founder and first editor, Norman Lockyer. Lockyer had a cushy job as a civil servant in the British government, but dabbled in astronomy in his spare time. In the 19th century, dabbling in astronomy in your spare time could be an intellectually productive hobby: the line between professional and amateur science was blurrier then, and it wasn’t hard to contribute original research even without formal training. During the 1860s, Lockyer published several papers on astronomical observations, the most consequential of which might be the co-discovery and naming of the element helium, from his studies of the sun. His reputation grew among the “men of science” (as scientists called themselves then) of Victorian Britain, and he was soon elected to the Royal Society. But astronomy was an expense, not a source of income. Lockyer routinely supplemented his government job by writing nonspecialist scientific articles and books for a lay audience. Then, one day, he had an idea for a new kind of publication. It would be a weekly periodical to disseminate scientific knowledge to the broader public — but unlike the other periodicals that existed at the time, it would be written by the prominent men of science themselves. It would have a simple, evocative name: Nature. Lockyer summarized the two aims of Nature like this: FIRST, to place before the general public the grand results of Scientific Work and Scientific Discovery, and to urge the claims of Science to a more general recognition in Education and in Daily Life; And, SECONDLY, to aid Scientific men themselves, by giving early information of all advances made in any branch of Natural knowledge throughout the world, and by affording them an opportunity of discussing the various Scientific questions which arise from time to time. In other words (and getting rid of the old-fashioned capitalization of random adjectives and nouns), Nature was meant to do two things: communication from scientists to the public, and communication among scientists. It was an interesting idea. It was also a new one; until then the two aims had been separate. Recall that scientific journals have existed since 1665. During their first two hundred years, they primarily served to record the meetings of learned societies. The Philosophical Transactions of the Royal Society were originally just that: summaries of whatever “philosophical” questions were discussed at the Royal Society. Aside from journals, specialized books were common and were in fact the higher-status way to communicate science in Victorian Britain. Charles Darwin’s On the Origins of Species, published in 1859, is the most famous example. Informal correspondence between scientists was also a major, but private, channel: Darwin wrote more than 15,000 letters in his lifetime, enough to fill 30 volumes. With the exception of some books, none of the above were intended for laypeople. Educated non-scientists (professionals, clergymen, statesmen, etc.) instead got their science news from generalist or literary periodicals such as the Athenaeum magazine. The articles in those publications were not written by specialists, but by journalists and dilettantes. Lockyer’s view, shared with his close supporter Thomas Huxley — a biologist known for defending Darwinian evolution — was that they were riddled with errors and theological overtones. It would be better, they thought, if scientists did the work of communicating their research themselves. It was bold of Lockyer and Huxley to assume that scientists would be interested in doing this communication work. They weren’t. Almost immediately after Nature was founded, its contributors ignored the popularization part (“not a high-status undertaking,” Baldwin’s book says) and focused on the intra-science communication part. They did write summaries and abstracts of their own research, as Lockyer had intended, but they expected that their readers would be other men of science. Within three years, the educated laypeople who were Lockyer’s target audience were complaining that they could no longer understand the contents. Thus the first of Nature’s two aims was met mostly with failure. Fortunately, this was balanced out by unexpected success at the second aim. Scientists did actually enjoy writing for Lockyer’s magazine, in large part because it was published weekly. They found that writing a summary of their own research in Nature was an excellent way to share their results quickly and gain attention from other scientists. Books were slow; Darwin took many years to write and publish On the Origin of Species, for instance. The journals of scientific societies were slow; you had to wait for a meeting to take place and then for the meeting’s “transactions” to be published. Private correspondence was fast, but it wasn’t public. Through publication speed, as well as other factors as we’ll see below, Nature filled a niche in the ecosystem. It was the Twitter of 19th-century British science. Soon enough, this model would be copied, most notably by the journal Science in 1880. According to its first editor, Science was explicitly meant to, “in the United States, take the position which ‘Nature’ so ably occupies in England.” In just a few years, Nature had disrupted scientific publishing and established itself as a useful and unique institution of science, recognized by specialists both in the UK and abroad. First page of the first edition of Nature, 4 November 1869 II. One Hundred Years of Building a Reputation Despite its popularity, Nature didn’t become prestigious overnight. Far from it, in fact. Making Nature often reminds us that the journal spent most of its history as a low-grade publication where anything could be printed quickly, as long as it was factually correct. (This was ensured by basic checks from the editorial team; Nature articles were not consistently peer-reviewed until the 1970s.) As late as the 1960s, a researcher publishing a preliminary report in Nature was expected to follow up with a longer paper “in a more serious journal.” In other words, Nature delivered quick and cheap distribution, not luxury brand approval. This changed about fifty years ago, as we’ll see in Part III. But to understand what happened then, we first need to examine the characteristics of the journal in the roughly 100-year period from its early days until prestige took over, starting with a deeper look into publication speed. Publication Speed John Maddox, editor of Nature in the late 20th century, said that “one of Nature’s greatest early assets was the speed of the Royal Mail.” You could write to Nature, be published within a week, and read the replies to your communication within two weeks. This was state-of-the-art communication tech! Consider how many times publication speed is mentioned throughout the first half of the book (emphasis mine): What made Nature unique was, in large part, its ability to act as a venue for . . . discussions via its correspondence columns and its weekly publication schedule. (p. 8) Many British men of science found that one of the fastest ways to bring a scientific issue or idea to their fellow researchers’ attention was to send a communication to Nature. (p. 39) Unlike the literary periodicals, there was almost no delay between the submission of a piece and its appearance in the journal. (p. 63) A second reason Nature’s speed of publication would have been compelling to men of science is that getting one’s work into print quickly had become an increasingly essential part of establishing priority for a scientific finding or theory. (p. 65) Scientific weeklies [such as Nature] played a unique role in researchers’ publishing strategies at the end of the nineteenth century by offering researchers a forum where short articles could be printed quickly. (p. 105) Both the Proceedings [of the Royal Society of London] and the Philosophical Magazine had significant lag times between submission and publication . . ., which made Nature and its weekly turnaround uniquely valuable for the priority-conscious Rutherford. (p. 109) [Rutherford] sent his most interesting experimental results [to Nature] immediately, both as a way of keeping his colleagues updated on his work and as insurance against being scooped as he had in 1899. (p. 112) These quotes highlight two distinct reasons why speed was important. The first, as I hinted at earlier, was Nature’s role as the аcademic social media of its time. It was simply the best way to have discussions about scientific topics — or science itself — that could, unlike private correspondence, reach a large audience. More on this in the next section. The second reason, as shown by the mentions of physicist Ernest Rutherford, was establishing priority. Today we take for granted that being the first to publish new ideas or results is important, but in the 19th century this was less clear. To bring up Darwin as an example again, he kept his thoughts on evolution private for many years, because he wanted to make sure his argument was sound before he submitted it to the public (although he did eventually sense the urgency of publishing the theory before Alfred Russel Wallace did). But as science became professionalized, “not being scooped” became more and more crucial, and the weekly Nature was a good tool to avoid that. All this talk of speed may surprise anyone who has recently submitted a paper to Nature. In 2016, an analysis revealed that the median time for Nature to review a paper was 150 days, i.e. 5 months, up from 85 days a decade earlier. Nature itself reports, for the year 2020, a median time of 226 days between submission and acceptance. We’re a long way from “less than a week.” Why was there a decrease in publication speed? As we might expect, the reason was Nature’s growing popularity, especially among the international scientific community. At least, that’s what happened the first time there was a slowdown, in the mid-20th century. Early on, Nature was a journal for and by British scientists. But in the first half of the 20th century, science in general and Nature in particular began to involve much more collaboration between researchers across borders. It was a big deal, for instance, when a foreign government banned Nature, as Nazi Germany did in 1938; German researchers had been using it as an important source of scientific news. The ban was furthermore covered in non-British media, such as The New York Times, indicating that the journal was internationally newsworthy. Such an increase in international readership meant more letters and articles sent to the editors, and by the 1950s, there was such a backlog that submissions needed to be held for six months or more. In the 1960s, the new editor John Maddox recognized this as a problem. He began his editorship by clearing the backlog, and even printed the date of submission along with each scientific paper to show everyone how quick Nature was at reviewing articles (“often within a month,” Baldwin’s book says). Clearly, Maddox thought that restoring the speedy reputation of the journal was important. He seems to have succeeded, for a time. As late as 1989, during a controversy around cold fusion, a Wall Street Journal article said that Nature was still fast: it was able to print papers “in as little as three weeks instead of the more usual lead time of six to twelve months for other scientific publications.” Thus, despite a dip in the middle of the century due to its popularity and international reach, speedy publication was still an important characteristic of Nature in the 1970s. A second — and so far permanent — decrease occurred more recently, perhaps as a result of prestige and the competition of near-instantaneous online platforms, but that’s another story. Network Effects As of 2022, scientists argue in public on Twitter, blogs, and other online platforms, like ResearchHub. In the 19th century, Twitter and ResearchHub hadn’t been invented [citation needed]. Fortunately, Nature was there. A network effect occurs when the value of a product comes primarily from the people who use it. If there are two competing telephone systems, the most valuable one is whichever has the most users (or at least the users you want to talk to). If you create an improved Twitter clone, then all its amazing features won’t do much if you don’t somehow manage to capture Twitter’s network of several million people. Likewise, Nature became an interesting journal to read and contribute to because it gained the attention of Britain’s scientific elite as the place to discuss big science questions. This role as a forum was a constant in Nature’s history, as Making Nature shows with several detailed accounts of debates that took place within the journal’s pages. Some examples: Controversies over the age of the Earth in the 1880s.
Inline links: this paper, a fancy prize for services to humanity, https://press.uchicago.edu/ucp/books/book/chicago/M/bo20298849.html, https://substackcdn.com/image/fetch/$s_!oY23!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F99a28e6f-d976-477a-8d14-f47510a23908_200x300.jpeg, https://substackcdn.com/image/fetch/$s_!glJ9!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F873e6e2d-15a6-4b31-954b-f24fcd5e0e23_794x1024.jpeg, more than 15,000 letters, https://en.wikipedia.org/wiki/The_Athenaeum_(British_magazine), took many years, https://substackcdn.com/image/fetch/$s_!GYj8!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fa4f03221-7d79-42f6-bf6c-35d90fe3f7e5_1142x1600.jpeg, revealed, reports, ResearchHub
Lockyer had a cushy job as a civil servant in the British government, but dabbled in astronomy in his spare time. In the 19th century, dabbling in astronomy in your spare time could be an intellectually productive hobby: the line between professional and amateur science was blurrier then, and it wasn’t hard to contribute original research even without formal training. During the 1860s, Lockyer published several papers on astronomical observations, the most consequential of which might be the co-discovery and naming of the element helium, from his studies of the sun. His reputation grew among the “men of science” (as scientists called themselves then) of Victorian Britain, and he was soon elected to the Royal Society. But astronomy was an expense, not a source of income. Lockyer routinely supplemented his government job by writing nonspecialist scientific articles and books for a lay audience. Then, one day, he had an idea for a new kind of publication. It would be a weekly periodical to disseminate scientific knowledge to the broader public — but unlike the other periodicals that existed at the time, it would be written by the prominent men of science themselves. It would have a simple, evocative name: Nature. Lockyer summarized the two aims of Nature like this: FIRST, to place before the general public the grand results of Scientific Work and Scientific Discovery, and to urge the claims of Science to a more general recognition in Education and in Daily Life; And, SECONDLY, to aid Scientific men themselves, by giving early information of all advances made in any branch of Natural knowledge throughout the world, and by affording them an opportunity of discussing the various Scientific questions which arise from time to time. In other words (and getting rid of the old-fashioned capitalization of random adjectives and nouns), Nature was meant to do two things: communication from scientists to the public, and communication among scientists. It was an interesting idea. It was also a new one; until then the two aims had been separate. Recall that scientific journals have existed since 1665. During their first two hundred years, they primarily served to record the meetings of learned societies. The Philosophical Transactions of the Royal Society were originally just that: summaries of whatever “philosophical” questions were discussed at the Royal Society. Aside from journals, specialized books were common and were in fact the higher-status way to communicate science in Victorian Britain. Charles Darwin’s On the Origins of Species, published in 1859, is the most famous example. Informal correspondence between scientists was also a major, but private, channel: Darwin wrote more than 15,000 letters in his lifetime, enough to fill 30 volumes. With the exception of some books, none of the above were intended for laypeople. Educated non-scientists (professionals, clergymen, statesmen, etc.) instead got their science news from generalist or literary periodicals such as the Athenaeum magazine. The articles in those publications were not written by specialists, but by journalists and dilettantes. Lockyer’s view, shared with his close supporter Thomas Huxley — a biologist known for defending Darwinian evolution — was that they were riddled with errors and theological overtones. It would be better, they thought, if scientists did the work of communicating their research themselves. It was bold of Lockyer and Huxley to assume that scientists would be interested in doing this communication work. They weren’t. Almost immediately after Nature was founded, its contributors ignored the popularization part (“not a high-status undertaking,” Baldwin’s book says) and focused on the intra-science communication part. They did write summaries and abstracts of their own research, as Lockyer had intended, but they expected that their readers would be other men of science. Within three years, the educated laypeople who were Lockyer’s target audience were complaining that they could no longer understand the contents. Thus the first of Nature’s two aims was met mostly with failure. Fortunately, this was balanced out by unexpected success at the second aim. Scientists did actually enjoy writing for Lockyer’s magazine, in large part because it was published weekly. They found that writing a summary of their own research in Nature was an excellent way to share their results quickly and gain attention from other scientists. Books were slow; Darwin took many years to write and publish On the Origin of Species, for instance. The journals of scientific societies were slow; you had to wait for a meeting to take place and then for the meeting’s “transactions” to be published. Private correspondence was fast, but it wasn’t public. Through publication speed, as well as other factors as we’ll see below, Nature filled a niche in the ecosystem. It was the Twitter of 19th-century British science. Soon enough, this model would be copied, most notably by the journal Science in 1880. According to its first editor, Science was explicitly meant to, “in the United States, take the position which ‘Nature’ so ably occupies in England.” In just a few years, Nature had disrupted scientific publishing and established itself as a useful and unique institution of science, recognized by specialists both in the UK and abroad. First page of the first edition of Nature, 4 November 1869 II. One Hundred Years of Building a Reputation Despite its popularity, Nature didn’t become prestigious overnight. Far from it, in fact. Making Nature often reminds us that the journal spent most of its history as a low-grade publication where anything could be printed quickly, as long as it was factually correct. (This was ensured by basic checks from the editorial team; Nature articles were not consistently peer-reviewed until the 1970s.) As late as the 1960s, a researcher publishing a preliminary report in Nature was expected to follow up with a longer paper “in a more serious journal.” In other words, Nature delivered quick and cheap distribution, not luxury brand approval. This changed about fifty years ago, as we’ll see in Part III. But to understand what happened then, we first need to examine the characteristics of the journal in the roughly 100-year period from its early days until prestige took over, starting with a deeper look into publication speed. Publication Speed John Maddox, editor of Nature in the late 20th century, said that “one of Nature’s greatest early assets was the speed of the Royal Mail.” You could write to Nature, be published within a week, and read the replies to your communication within two weeks. This was state-of-the-art communication tech! Consider how many times publication speed is mentioned throughout the first half of the book (emphasis mine): What made Nature unique was, in large part, its ability to act as a venue for . . . discussions via its correspondence columns and its weekly publication schedule. (p. 8) Many British men of science found that one of the fastest ways to bring a scientific issue or idea to their fellow researchers’ attention was to send a communication to Nature. (p. 39) Unlike the literary periodicals, there was almost no delay between the submission of a piece and its appearance in the journal. (p. 63) A second reason Nature’s speed of publication would have been compelling to men of science is that getting one’s work into print quickly had become an increasingly essential part of establishing priority for a scientific finding or theory. (p. 65) Scientific weeklies [such as Nature] played a unique role in researchers’ publishing strategies at the end of the nineteenth century by offering researchers a forum where short articles could be printed quickly. (p. 105) Both the Proceedings [of the Royal Society of London] and the Philosophical Magazine had significant lag times between submission and publication . . ., which made Nature and its weekly turnaround uniquely valuable for the priority-conscious Rutherford. (p. 109) [Rutherford] sent his most interesting experimental results [to Nature] immediately, both as a way of keeping his colleagues updated on his work and as insurance against being scooped as he had in 1899. (p. 112) These quotes highlight two distinct reasons why speed was important. The first, as I hinted at earlier, was Nature’s role as the аcademic social media of its time. It was simply the best way to have discussions about scientific topics — or science itself — that could, unlike private correspondence, reach a large audience. More on this in the next section. The second reason, as shown by the mentions of physicist Ernest Rutherford, was establishing priority. Today we take for granted that being the first to publish new ideas or results is important, but in the 19th century this was less clear. To bring up Darwin as an example again, he kept his thoughts on evolution private for many years, because he wanted to make sure his argument was sound before he submitted it to the public (although he did eventually sense the urgency of publishing the theory before Alfred Russel Wallace did). But as science became professionalized, “not being scooped” became more and more crucial, and the weekly Nature was a good tool to avoid that. All this talk of speed may surprise anyone who has recently submitted a paper to Nature. In 2016, an analysis revealed that the median time for Nature to review a paper was 150 days, i.e. 5 months, up from 85 days a decade earlier. Nature itself reports, for the year 2020, a median time of 226 days between submission and acceptance. We’re a long way from “less than a week.” Why was there a decrease in publication speed? As we might expect, the reason was Nature’s growing popularity, especially among the international scientific community. At least, that’s what happened the first time there was a slowdown, in the mid-20th century. Early on, Nature was a journal for and by British scientists. But in the first half of the 20th century, science in general and Nature in particular began to involve much more collaboration between researchers across borders. It was a big deal, for instance, when a foreign government banned Nature, as Nazi Germany did in 1938; German researchers had been using it as an important source of scientific news. The ban was furthermore covered in non-British media, such as The New York Times, indicating that the journal was internationally newsworthy. Such an increase in international readership meant more letters and articles sent to the editors, and by the 1950s, there was such a backlog that submissions needed to be held for six months or more. In the 1960s, the new editor John Maddox recognized this as a problem. He began his editorship by clearing the backlog, and even printed the date of submission along with each scientific paper to show everyone how quick Nature was at reviewing articles (“often within a month,” Baldwin’s book says). Clearly, Maddox thought that restoring the speedy reputation of the journal was important. He seems to have succeeded, for a time. As late as 1989, during a controversy around cold fusion, a Wall Street Journal article said that Nature was still fast: it was able to print papers “in as little as three weeks instead of the more usual lead time of six to twelve months for other scientific publications.” Thus, despite a dip in the middle of the century due to its popularity and international reach, speedy publication was still an important characteristic of Nature in the 1970s. A second — and so far permanent — decrease occurred more recently, perhaps as a result of prestige and the competition of near-instantaneous online platforms, but that’s another story. Network Effects As of 2022, scientists argue in public on Twitter, blogs, and other online platforms, like ResearchHub. In the 19th century, Twitter and ResearchHub hadn’t been invented [citation needed]. Fortunately, Nature was there. A network effect occurs when the value of a product comes primarily from the people who use it. If there are two competing telephone systems, the most valuable one is whichever has the most users (or at least the users you want to talk to). If you create an improved Twitter clone, then all its amazing features won’t do much if you don’t somehow manage to capture Twitter’s network of several million people. Likewise, Nature became an interesting journal to read and contribute to because it gained the attention of Britain’s scientific elite as the place to discuss big science questions. This role as a forum was a constant in Nature’s history, as Making Nature shows with several detailed accounts of debates that took place within the journal’s pages. Some examples: Controversies over the age of the Earth in the 1880s.
Inline links: more than 15,000 letters, https://en.wikipedia.org/wiki/The_Athenaeum_(British_magazine), took many years, https://substackcdn.com/image/fetch/$s_!GYj8!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fa4f03221-7d79-42f6-bf6c-35d90fe3f7e5_1142x1600.jpeg, revealed, reports, ResearchHub
Your Book Review: Viral
July 30, 2022 · Original source
A lot of these technical points are over my head, so I encourage you to read the pre-prints (as well as the critiques of them) yourself. Here are some more sources to check out about these recent pre-prints and the debate around them [1, 2, 3].
Inline links: 1, 2, 3
Virus sample sequences from early COVID patients in China were originally uploaded to an online database, but later removed in an apparent attempt at obfuscation. However, evolutionary biologist Jesse Bloom came up with a clever way to recover this data.
Inline links: However, evolutionary biologist Jesse Bloom came up with a clever way to recover this data.
Posterior: Both hypotheses seem viable and a thorough, open investigation is needed. Conclusion 2: Evaluating claims from experts and institutions There was a lesson I took away from this book that I’m not exactly sure how to feel about. Reading through the history of the investigation into the pandemic’s origins, it’s notable that many of the breakthroughs were made by either complete amateurs, or by scientists in fields outside of virology working in their free time. For example, one of the main characters in this story is The Seeker, an anonymous Twitter user, later revealed to be a former science teacher in India with no formal research experience. Again and again, amateur internet researchers like The Seeker caught things that the professional virology community missed or ignored, including the origins of RaTG13 and the eight other coronavirus samples from the Mojiang mine. I don’t really know how to feel about it. On the one hand, it’s pretty cool that science is now open source in a way that lets random, curious people comb through data to make interesting discoveries. But on the other hand, what the hell is going on if some random Twitter users are consistently correcting world-renowned virology institutes on various mistakes and omissions? This is especially frustrating when the random guy on the internet turns out to be right. When people talk about “trusting the experts”, I think they mean trusting people with technical expertise over people without technical expertise. This makes sense a lot of the time. Probably almost all the time. If you need your car fixed, have a weird rash on your skin, or have a leaking pipe in your house, you consult a mechanic, a dermatologist, or a plumber because they have the technical expertise you need on those issues. You don’t ask a random guy on Twitter for help. But what if you have a question about investment banking on Wall Street, and how it should be regulated. Should you put the question to a bunch of investment bankers? After all, they do have the most technical expertise on this subject, right? They probably know more about investment banking than you or me, or a lot of the people pushing for more financial regulations. Now we’ve run into an issue: they do have technical expertise, but it’s bundled together and intertwined with a bunch of incentives that could lead to biased judgment, so we can’t take what they’re saying as some pure, objective truth. Of course, their technical expertise is still valuable, so we shouldn’t necessarily throw out everything they say either. The proper response is to listen to what they’re saying and weigh the information accordingly after considering the incentives they’re facing, and possible biases. I guess what I’m trying to say here is that scientific institutions, though probably not as bad as Wall Street, are still made up of human beings who are susceptible to all kinds of cognitive biases, including group think, confirmation bias, and the good ol’ Not Wanting To Be Wrong. So what should we do about this? Well, the easy option is to just become an insane person, like Alex Jones, and assume the experts are lying all the time about everything. This strategy has the advantage of letting us feel edgy and rebellious, but it’s not very helpful if we actually want to figure these issues out. On the other hand, if we want to seriously try to discern truth from expert claims on controversial topics, that’s a messy challenge that involves considering their technical expertise, as well as potential biases they might have, as well as our own potential biases. Conclusion 3: Some optimism about science I know this has probably been a bit of a depressing post to read, but my final conclusion is actually one of optimism about the state of science. What differentiates science from other ways of knowing is its self-correction mechanisms. It’s all about changing our minds and reevaluating our beliefs based on new evidence and clearer understanding of things. This is basically what we’ve seen in the way the scientific community has changed positions on the lab leak hypothesis. Harsh critics might refer to this as a “flip flop”, or point out that the lab leak hypothesis never should have been dismissed in the first place, but I see it as a commendable error correction. What’s even cooler is that much of this reevaluation was the result of amateurs and semi-amateurs making discoveries based on freely accessible genomic sequence data, and open source online sequence analysis tools. Plus the fact that, despite their lack of official credentials, their analysis was taken seriously (eventually), when it became evident that they were making good points. This is a credit to the scientific community. Further sources to check out Natural Origins Proponents The most comprehensive post I’ve found making the case for natural origins is Philipp Markolin’s Substack post, which attempts to apply Bayesian reasoning to the question. Definitely recommend.
Inline links: https://substackcdn.com/image/fetch/$s_!DmBD!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fc3f437a1-b9a0-4e0a-9f6b-87872bf32576_1210x1190.png, The most comprehensive post I’ve found making the case for natural origins is Philipp Markolin’s Substack post
How Trustworthy Are Supplements?
October 05, 2022 · Original source
Both used a similar technique called DNA barcoding, where scientists check samples (in this case, herbal supplements) for fragments of DNA (in this case, from the herbs the supplements supposedly came from). Both found abysmal results. Newmaster found that a third of herbal supplements tested lacked any trace of the relevant herb, instead seeming to be some other common plant like rice. Schneiderman’s study was even more damning, finding that eighty percent of herbal supplements lacked the active ingredient. These results were extensively and mostly uncritically signal-boosted by mainstream media, for example the New York Times (1, 2) and NPR (1, 2), mostly from the perspective that supplements were a giant scam and needed to be regulated by the FDA.
Inline links: 1, 2, 1, 2
Meanwhile, Dr. Steven Newmaster, lead author of the original study, has had one of his other DNA barcoding papers retracted for suspected fraud. Science magazine did an investigative report on him, claiming that:
An investigation by Science found the problems in Newmaster’s work go well beyond the three papers. They include apparent fabrication, data manipulation, and plagiarism in speeches, teaching, biographies, and scholarly writing. A review of thousands of pages of Newmaster’s published papers, conference speeches, slide decks, and training and promotional videos, along with interviews with two dozen current and former colleagues or independent scientists and 16 regulatory or research agencies, revealed a charismatic and eloquent scientist who often exaggerated, fabulized his accomplishments, and presented other researchers’ data as his own.
Open Thread 255
December 19, 2022 · Original source
We launched a new project (which received an ACX Grant) to help improve the replication crisis in psychology: Transparent Replications by Clearer Thinking! We're aiming to vastly increase the probability of studies in top journals being replicated in order to change researcher incentives. As soon as new psychology and behavior papers come out in Nature and Science (the two most prestigious general science journals), our plan is to replicate a study from nearly every one of them. Additionally, we'll be replicating randomly selected studies from PNAS, JPSP, and PSci shortly after they are released. You can check out our first three replications now!
Inline links: Transparent Replications by Clearer Thinking, first three replications
And here’s a Vox article about their work.
Inline links: a Vox article about their work
Conventional wisdom is that intelligence-related studies replicate better than other fields, and Clearer Thinking is testing that now by trying to replicate 40 intelligence-related claims. They’re looking for experimental subjects to take their online tests; click here if you want to help. They promise you a breakdown of your cognitive strengths and weaknesses at the end, but be aware they won’t tell you your IQ and will only tell you percentile values relative to the other (highly selected) people who took their tests. Also, the Science Comprehension test is much more intense than the previous few; be prepared to put in a lot of thought if you don’t skip that one. Don’t exhaust yourself so much that you refuse to take the ACX Survey in a few weeks!
Inline links: click here
Highlights From The Comments On The Lab Leak Debate
April 09, 2024 · Original source
We've been studying Ebola for over 40 years and have yet to determine the animal reservoir. It took 20 years to identify the reservoir for HIV-1's progenitor. Sometimes finding the reservoir is easy, sometimes it's hard. Typically it is easy when you have lots of cases and the virus is not very efficient at human-to-human transmission, because that necessitates lots of separate zoonotic events, which necessitates lots of infected animals. For something that spreads fast (i.e., the kind of virus likely to start a pandemic), you don't need a big reservoir, so you have a smaller target. For example, we did find the reservoir for the 2009 flu pandemic, but it took 7 years: https://elifesciences.org/articles/16777
Inline links: https://elifesciences.org/articles/16777
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
I’m not a virologist, but I question how this comparison works. Surely HKU1 got its insert on some specific day. If you take the virus the day before, and then the other virus the day after, there will be no differences except the insert, and it will look just like COVID (ie an insert without many other mutations). The fact that the COVID comparison has few mutations, and the HKU1 insert has many mutations, just shows that whatever older virus we chose to compare HKU1 to is more distant from HKU1 than BANAL-52 (or whatever) is from COVID. Or am I missing something here? [The evidence that China tried to cover up zoonosis from the start] is untrue. They clearly said from the start this is a zoonotic spillover at HSM, and at least part of the government went to immense efforts to identify the animal, close farms, etc. (and of course couldn’t find any infected animal). Only in late 2020 did they start suspecting an import from cold-chain products after having multiple outbreaks that seem related to cold-chain products. From a Vox article from March 2023: From the start, the Chinese government interfered with efforts by both Chinese and international experts to study the pandemic, including its origins. Reporting by the AP found that even as WHO officials were publicly praising China’s cooperation, behind the scenes they were complaining about lack of access and a refusal to share data. Within months of the beginning of the pandemic, the Chinese government imposed restrictions on academic research into the origins of the novel coronavirus … China’s intransigence wasn’t unusual — countries are rarely eager to confirm that they’re the source of a deadly disease — but it went beyond the norm. International investigators weren’t permitted to see the market until more than a year after the pandemic began and a WHO-affiliated team was allowed a highly choreographed and controlled visit. The resulting report that came out of the Wuhan visit, which dismissed the possibility of a lab origin, pointed the finger at some kind of zoonotic spillover while concluding that it was unlikely that the spread started at the market, which surprised many experts. It also found that it was “possible” that the virus had been introduced via contaminated frozen food products from abroad. While few experts took that possibility seriously, it fit a narrative the Chinese government had been pushing, against nearly all evidence, that the pandemic had in fact not originated in China. “China just doesn’t want to look bad,” Filippa Lentzos, a biosecurity expert at King’s College London, told Science last August. “They need to maintain an image of control and competence. And that is what goes through everything they do.” […] it seems clear that with more cooperation, scientists could have been looking at raccoon dogs a year or more ago. “The big issue right now is that this data exists and that it is not readily available to the international community,” Maria Van Kerkhove, the WHO’s Covid-19 technical lead, told reporters on Friday. “This is first and foremost absolutely critical, not to mention that it should have been made available years earlier, but that data needs to be made accessible to individuals who can access it, who can analyze it and who can discuss it with each other.” The irony is that by making it so difficult to properly investigate a zoonotic origin of Covid, the Chinese government has created a vacuum that has been filled by claims on all sides, including the much more damning accusation that the pandemic was the result of a lab error at the Wuhan Institute of Virology. For what it’s worth, my timeline of Chinese denials and coverups looks like this: December: COVID doesn't exist, it's all lies Early January: Fine, it exists, but it’s just some wet market thing that can't spread from person to person Late January: Fine, it can spread from person to person, but we’ve got it under control now. February: Fine, it’s out of control, but you would not believe how great our response was. We're basically heroes. March: COVID was a US bioweapon, or possibly came from Italy. April: Chinese people are banned from researching the origins of COVID without government permission. 2: Comments Arguing Against Lab Leak 2.1: Is the pandemic starting near WIV reverse correlation? randomstringofcharacters wrote: Isn't [the pandemic starting near the lab] a reverse correlation issue? The lab is situated there because it's an area where coronaviruses were found in the past. Many people had this question, but Wuhan Institute of Virology was founded in 1956, didn’t originally focus on coronaviruses, and isn’t in a coronavirus hot spot. Most of WIV’s coronavirus samples come from Yunnan, about a thousand miles away. COVID’s closest relatives were found in Laos, almost two thousand miles away. During the debate, both Saar and Peter calculated the odds of a natural pandemic arising in Wuhan by dividing the population of Wuhan by the total urban population of East Asia (Saar) or South China (Peter). Saar got 1.5%, Peter got 3% (he later said this could be as high as 10% because it was a central hub in the wildlife trade). This isn’t an Official Position and I don’t think anyone else shares it, but during the debate Peter pointed out a few times that there are plenty of disease-ridden bats in Hubei (the province Wuhan is in), and that it’s not impossible that a bat virus currently known only in Laos could be active in Hubei. Still, this is the minority viewpoint and most scientists just think it involved something about the wildlife trade. 3: Other Points That Came Up 3.1: Apology to Peter re: extreme odds quiet_NaN wrote: Hot take: Peter clearly failed to convince anyone. The lab leak odds, in log10 (i.e. orders of magnitude are): Peter -20.7 Saar 2.7 Eric -3.1 Will -2.5 Scott -1.2 Daniel -1.4 One of these numbers is clearly an outlier. Scott mentions it and calls it "trolling", I would argue that it is debating in bad faith. 2e-21 is a ratio which is just silly. For one thing, the gain of function at WiV pathway is not the only pathway towards a lab leak. The WIV could also have released a naturally occurring coronavirus at the wet market. At 2e-21 odds, we would probably have to consider the possibility that the WIV built a time machine and went back in time to infect the wet market. I might have screwed up here - or at least I should have emphasized the “trolling” part. Peter complained about my presentation of his extreme-odds slide, saying: This is basically accurate. During the debate, Saar gave lots of different numbers. I don’t want to say exactly what the different numbers meant, because in earlier drafts of my post, Saar said I misunderstood them. My impression were that some of his numbers were conservative, others were central, others were extreme, others were adjusted-for-out-of-model-error, others were not-adjusted, etc. In an early draft of the post, I gave higher numbers for Saar. Saar asked me to replace them with the numbers I ended up using. I decided to agree, because I wanted to represent Saar fairly with the numbers he most centrally believed, but also because these were closest to the numbers on his Rootclaim site so it wasn’t like he was making them up just to fool me. Peter didn’t argue quite as hard, and also he didn’t have anything like the Rootclaim site, so I just took his first set of numbers. Trying to piece things together, I think a reasonable summary would be: During the debate, Saar mentioned 700-million-to-one odds in favor of lab leak, not because he thought this was plausible, but just as a discussion of where the situation would end up if you didn’t adjust for human fallibility.
Inline links: a Vox article, wrote, wrote, https://twitter.com/tgof137/status/1773797640607850745
Your Book Review: How Language Began
July 19, 2024 · Original source
This is what he looks like. According to Wikipedia, the context for this picture is: “Noam Chomsky speaks about humanity's prospects for survival” Since around 1957, Chomsky has dominated linguistics. And this matters because he is kind of a contrarian with weird ideas. Is language for communicating? No, it’s mainly for thinking: (What Kind of Creatures Are We? Ch. 1, pg. 15-16) It is, indeed, virtual dogma that the function of language is communication. ... there is by now quite significant evidence that it is simply false. Doubtless language is sometimes used for communication, as is style of dress, facial expression and stance, and much else. But fundamental properties of language design indicate that a rich tradition is correct in regarding language as essentially an instrument of thought, even if we do not go as far as Humboldt in identifying the two. Should linguists care about the interaction between culture and language? No, that’s essentially stamp-collecting: (Language and Responsibility, Ch. 2, pg. 56-57) Again, a discipline is defined in terms of its object and its results. Sociology is the study of society. As to its results, it seems that there are few things one can say about that, at least at a fairly general level. One finds observations, intuitions, impressions, some valid generalizations perhaps. All very valuable, no doubt, but not at the level of explanatory principles. … Sociolinguistics is, I suppose, a discipline that seeks to apply principles of sociology to the study of language; but I suspect that it can draw little from sociology, and I wonder whether it is likely to contribute much to it. … You can also collect butterflies and make many observations. If you like butterflies, that’s fine; but such work must not be confounded with research, which is concerned to discover explanatory principles of some depth and fails if it has not done so. Did the human capacity for language evolve gradually? No, it suddenly appeared around 50,000 years ago after a freak gene mutation: (Language and Mind, third edition, pg, 183-184) An elementary fact about the language faculty is that it is a system of discrete infinity, rare in the organic world. Any such system is based on a primitive operation that takes objects already constructed, and constructs from them a new object: in the simplest case, the set containing them. Call that operation Merge. Either Merge or some equivalent is a minimal requirement. With Merge available, we instantly have an unbounded system of hierarchically structured expressions. The simplest account of the “Great Leap Forward” in the evolution of humans would be that the brain was rewired, perhaps by some slight mutation, to provide the operation Merge … There are speculations about the evolution of language that postulate a far more complex process … A more parsimonious speculation is that they did not, and that the Great Leap was effectively instantaneous, in a single individual, who was instantly endowed with intellectual capacities far superior to those of others, transmitted to offspring and coming to predominate. At best a reasonable guess, as are all speculations about such matters, but about the simplest one imaginable, and not inconsistent with anything known or plausibly surmised. It is hard to see what account of human evolution would not assume at least this much, in one or another form. I think all of these positions are kind of insane for reasons that we will discuss later. (Side note: Chomsky’s proposal is essentially the hard takeoff theory of human intelligence.) Most consequential of all, perhaps, are the ways Chomsky has influenced (i) what linguists mainly study, and (ii) how they go about studying it. Naively, since language involves many different components—including sound production and comprehension, intonation, gestures, and context, among many others—linguists might want to study all of these. While they do study all of these, Chomsky and his followers view grammar as by far the most important component of humans’ ability to understand and produce language, and accordingly make it their central focus. Roughly speaking, grammar refers to the set of language-specific rules that determine whether a sentence is well-formed. It goes beyond specifying word order (or ‘surface structure’, in Chomskyan terminology) since one needs to know more than just where words are placed in order to modify or extend a given sentence. Consider a pair of sentences Chomsky uses to illustrate this point in Aspects of the Theory of Syntax (pg. 22), his most cited work: (1a) I expected John to be examined by a specialist. (2a) I persuaded John to be examined by a specialist. The words “expected” and “persuaded” appear in the same location in each sentence, but imply different ‘latent’ grammatical structures, or ‘deep structures’. One way to show this is to observe that a particular way of rearranging the words produces a sentence with the same meaning in the first case (1a = 1b), and a different meaning in the second (2a != 2b): (1b) I expected a specialist to examine John. (2b) I persuaded a specialist to examine John. In particular, the target of persuasion is “John” in the case of (2a), and “the specialist” in the case of (2b). A full Chomskyan treatment of sentences like this would involve hierarchical tree diagrams, which permit a precise description of deep structure. You may have encountered the famous sentence: “Colorless green ideas sleep furiously.” It first appeared in Chomsky’s 1957 book Syntactic Structures, and the point is that even nonsense sentences can be grammatically well-formed, and that speakers can quickly assess the grammatical correctness of even nonsense sentences that they’ve never seen before. To Chomsky, this is one of the most important facts to be explained about language. A naive response to Chomsky’s preoccupation with grammar is: doesn’t real language involve a lot of non-grammatical stuff, like stuttering and slips of the tongue and midstream changes of mind? Of course it does, and Chomsky acknowledges this. To address this point, Chomsky has to move the goalposts in two important ways. First, he famously distinguishes competence from performance, and identifies the former as the subject of any serious theory of language: (Aspects of the Theory of Syntax, Ch. 1, pg. 4) The problem for the linguist, as well as for the child learning the language, is to determine from the data of performance the underlying system of rules that has been mastered by the speaker-hearer and that he puts to use in actual performance. Hence, in the technical sense, linguistic theory is mentalistic, since it is concerned with discovering a mental reality underlying actual behavior. Observed use of language or hypothesized dispositions to respond, habits, and so on, may provide evidence as to the nature of this mental reality, but surely cannot constitute the actual subject matter of linguistics, if this is to be a serious discipline. Moreover, he claims that grammar captures most of what we should mean when we talk about speakers’ linguistic competence: (Aspects of the Theory of Syntax, Ch. 1, pg. 24) A grammar can be regarded as a theory of a language; it is descriptively adequate to the extent that it correctly describes the intrinsic competence of the idealized native speaker. Another way Chomsky moves the goalposts is by distinguishing E-languages, like English and Spanish and Japanese, from I-languages, which only exist inside human minds. He claims that serious linguistics should be primarily interested in the latter. In a semi-technical book summarizing Chomsky’s theory of language, Cook and Newson write: (Chomsky’s Universal Grammar: An Introduction, pg. 13) E-language linguistics … aims to collect samples of language and then describe their properties. … I-language linguistics, however, is concerned with what a speaker knows about language and where this knowledge comes from; it treats language as an internal property of the human mind rather than something external … Not only should linguistics primarily be interested in studying I-languages, but to try and study E-languages at all may be a fool’s errand: (Chomsky’s Universal Grammar: An Introduction, pg. 13) Chomsky claims that the history of generative linguistics shows a shift from an E-language to an I-language approach; ‘the shift of focus from the dubious concept of E-language to the significant notion of I-language was a crucial step in early generative grammar’ (Chomsky, 1991b, pg. 10). … Indeed Chomsky is extremely dismissive of E-language approaches: ‘E-language, if it exists at all, is derivative, remote from mechanisms and of no particular empirical significance, perhaps none at all’ (Chomsky, 1991b, pg. 10).1 I Am Not A Linguist (IANAL), but this redefinition of the primary concern of linguistics seems crazy to me. Is studying a language like English as it is actually used really of no particular empirical significance? And this doesn’t seem to be a one-time hyperbole, but a representative claim. Cook and Newson continue: (Chomsky’s Universal Grammar: An Introduction, pg. 14) The opposition between these two approaches in linguistics has been long and acrimonious, neither side conceding the other’s reality. … The E-linguist despises the I-linguist for not looking at the ‘real’ facts; the I-linguist derides the E-linguist for looking at trivia. The I-language versus E-language distinction is as much a difference of research methods and of admissible evidence as it is of long-term goals. So much for what linguists ought to study. How should they study it? The previous quote gives us a clue. Especially in the era before Chomsky (BC), linguists were more interested in description. Linguists were, at least in one view, people who could be dropped anywhere in the world, and emerge with a tentative grammar of the local language six months later. (A notion like this is mentioned early in this video.) Linguists catalog the myriad of strange details about human languages, like the fact that some languages don’t appear to have words for relative directions, or “thank you”, or “yes” and “no”. After Chomsky's domination of the field (AD), there were a lot more theorists. While you could study language by going out into the field and collecting data, this was viewed as not the only, and maybe not even the most important, way to work. Diagrams of sentences proliferated. Chomsky, arguably the most influential linguist of the past hundred years, has never done fieldwork. In summary, to Chomsky and many of the linguists working in his tradition, the scientifically interesting component of language is grammar competence, and real linguistic data only indirectly reflects it. All of this matters because the dominance of Chomskyan linguistics has had downstream effects in adjacent fields like artificial intelligence (AI), evolutionary biology, and neuroscience. Chomsky has long been an opponent of the statistical learning tradition of language modeling, essentially claiming that it does not provide insight about what humans know about languages, and that engineering success probably can’t be achieved without explicitly incorporating important mathematical facts about the underlying structure of language. Chomsky’s ideas have motivated researchers to look for a “language gene” and “language areas” of the brain. Arguably, no one has yet found either—but more on that later. How Chomsky attained this stranglehold on linguistics is an interesting sociological question, but not our main concern in the present work2. The intent here is not to pooh-pooh Chomsky, either; brilliant and hard-working people are often wrong on important questions. Consider that his academic career began in the early 1950s—over 70 years ago!—when our understanding of language, anthropology, biology, neuroscience, and artificial intelligence, among many other things, was substantially more rudimentary. Where are we going with this? All of this is context for understanding the ideas of a certain bomb-throwing terrorist blight on the face of linguistics: Daniel Everett. How Language Began is a book he wrote about, well, what language is and how it began. Everett is the anti-Chomsky. II. THE MISSIONARY We all love classic boy-meets-girl stories. Here’s one: boy meets girl at a rock concert, they fall in love, the boy converts to Christianity for the girl, then the boy and girl move to the Amazon jungle to dedicate the rest of their lives to saving the souls of an isolated hunter-gatherer tribe. Daniel Everett is the boy in this story. The woman he married, Keren Graham, is the daughter of Christian missionaries and had formative experiences living in the Amazon jungle among the Sateré-Mawé people. At seventeen, Everett became a born-again Christian; at eighteen, he and Keren married; and over the next few years, they started a family and prepared to become full-fledged missionaries like Keren’s parents. First, Everett studied “Bible and Foreign Missions” at the Moody Bible Institute in Chicago. After finishing his degree in 1975, the natural next step was to train more specifically to follow in the footsteps of Keren’s parents. In 1976, he and his wife enrolled in the Summer Institute of Linguistics (SIL) to learn translation techniques and more viscerally prepare for life in the jungle: They were sent to Chiapas, Mexico, where Keren stayed in a hut in the jungle with the couple’s children—by this time, there were three—while Everett underwent grueling field training. He endured fifty-mile hikes and survived for several days deep in the jungle with only matches, water, a rope, a machete, and a flashlight. Everett apparently had a gift for language-learning. This led SIL to invite Everett and his wife to work with the Pirahã people (pronounced pee-da-HAN), whose unusual language had thwarted all previous attempts to learn it. In 1977, Everett’s family moved to Brazil, and in December they met the Pirahã for the first time. As an SIL-affiliated missionary, Everett’s explicit goals were to (i) translate the Bible into Pirahã, and (ii) convert as many Pirahã as possible to Christianity. But Everett’s first encounter with the Pirahã was cut short for political reasons: (Don’t Sleep There Are Snakes, Ch. 1, pg. 13-14) In December of 1977 the Brazilian government ordered all missionaries to leave Indian reservations. … Leaving the village under these forced circumstances made me wonder whether I’d ever be able to return. The Summer Institute of Linguistics was concerned too and wanted to find a way around the government’s prohibition against missionaries. So SIL asked me to apply to the graduate linguistics program at the State University of Campinas (UNICAMP), in the state of São Paulo, Brazil. It was hoped that UNICAMP would be able to secure government authorization for me to visit the Pirahãs for a prolonged period, in spite of the general ban against missionaries. … My work at UNICAMP paid off as SIL hoped it would. Everett became a linguist proper sort of by accident, mostly as an excuse to continue his missionary work. But he ended up developing a passion for it. In 1980, he completed Aspects of the Phonology of Pirahã, his master’s thesis. He continued on to get a PhD in linguistics, also from UNICAMP, and in 1983 finished The Pirahã Language and Theory of Syntax, his dissertation. He continued studying the Pirahã and working as an academic linguist after that. In all, Everett spent around ten years of his life living with the Pirahã, spread out over some thirty-odd years. As he notes in Don’t Sleep, There Are Snakes: (Prologue, pg. xvii-xviii) I went to the Pirahãs when I was twenty-six years old. Now I am old enough to receive senior discounts. I gave them my youth. I have contracted malaria many times. I remember several occasions on which the Pirahãs or others threatened my life. I have carried more heavy boxes, bags, and barrels on my back through the jungle than I care to remember. But my grandchildren all know the Pirahãs. My children are who they are in part because of the Pirahãs. And I can look at some of those old men (old like me) who once threatened to kill me and recognize some of the dearest friends I have ever had—men who would now risk their lives for me. Everett interviewing some Pirahã people. (source) Everett did eventually learn their language, and it’s worth taking a step back to appreciate just how hard that task was. No Pirahã spoke Portuguese, apart from some isolated phrases they used for bartering. They didn’t speak any other language at all—just Pirahã. How do you learn another group’s language when you have no languages in common? The technical term is monolingual fieldwork. But this is just a fancy label for some combination of pointing at things, listening, crude imitation, and obsessively transcribing whatever you hear. For years. It doesn’t help that the Pirahã language seems genuinely hard to learn in a few different senses. First, it is probably conventionally difficult for Westerners to learn since it is a tonal language (two tones: high and low) with a small number of phonemes (building block sounds) and a few unusual sounds3. Second, there is no written language. Third, the language has a variety of ‘channels of discourse’, or ways of talking specialized for one or another cultural context. One of these is ‘whistle speech’; Pirahãs can communicate purely in whistles. This feature appears to be extremely useful during hunting trips: (Don’t Sleep, There Are Snakes, Ch. 11, pg. 187-188) My first intense contact with whistle speech came one day when the Pirahãs had given me permission to go hunting with them. After we’d been walking for about an hour, they decided that they weren’t seeing any game because I, with my clunking canteens and machete and congenital clumsiness, was making too much noise. “You stay here and we will be back for you later.” Xaikáibaí said gently but firmly. … As I tried to make the best of my solitary confinement, I heard the men whistling to one another. They were saying, “I’ll go over there; you go that way,” and other such hunting talk. But clearly they were communicating. It was fascinating because it sounded so different from anything I had heard before. The whistle carried long and clear in the jungle. I could immediately see the importance and usefulness of this channel, which I guessed would also be much less likely to scare away game than the lower frequencies of the men’s normal voices. Fourth, important aspects of the language reflect core tenets of Pirahã culture in ways that one might not a priori expect. Everett writes extensively about the ‘immediacy of experience principle’ of Pirahã culture, which he summarizes as the idea that: (Don’t Sleep, There Are Snakes, Ch. 7, pg. 132) Declarative Pirahã utterances contain only assertions related directly to the moment of speech, either experienced by the speaker or witnessed by someone alive during the lifetime of the speaker. One way the language reflects this is that the speaker must specify how they know something by affixing an appropriate suffix to verbs: (Don’t Sleep, There Are Snakes, Ch. 12, pg. 196) Perhaps the most interesting suffixes, however (though these are not unique to Pirahã), are what linguists call evidentials, elements that represent the speaker’s evaluation of his or her knowledge of what he or she is saying. There are three of these in Pirahã: hearsay, observation, and deduction. To see what these do, let’s use an English example. If I ask you, “Did Joe go fishing?” you could answer, “Yes, at least I heard that he did,” or “Yes, I know because I saw him leave,” or “Yes, at least I suppose he did because his boat is gone.” The difference between English and Pirahã is that what English does with a sentence, Pirahã does with a verbal suffix. Everett also convincingly links this cultural principle to the lack of Pirahã number words and creation myths. On the latter topic, Everett recalls the following exchange: (Don’t Sleep, There Are Snakes, Ch. 7, pg. 134) I sat with Kóhoi once and he asked me, after hearing about my god, “What else does your god do?” And I answered, “Well, he made the stars, and he made the earth.” Then I asked, “What do the Pirahãs say?” He answered, “Well, the Pirahãs say that these things were not made.” And all of this is to say nothing of the manifold perils of the jungle: malaria, typhoid fever, dysentery, dangerous snakes, insects, morally gray river traders, and periodic downpours. If Indiana Jones braved these conditions for years, we would consider his stories rousing adventures. Everett did this while also learning one of the most unusual languages in the world. People on the bank of the Maici river. (source) By the way, he did eventually sort of achieve his goal of translating the Bible. Armed with a solid knowledge of Pirahã, he was able to translate the New Testament’s Gospel of Mark. Since the Pirahã have no written language, he provided them with a recorded version, but did not get the reaction he expected: (Don’t Sleep, There Are Snakes, Ch. 17, pg. 267-268) When we returned to the village, I recorded Mark’s gospel in my own voice for the Pirahãs to listen to. I then brought in a wind-up tape recorder to play the recording, and I taught the Pirahãs how to use it, which, surprisingly enough, some of the children did. Keren and I left the village and returned a few weeks later. The people were still listening to the gospel, with children cranking the recorder. I was initially quite excited about this, until it became clear that the only part of the book that they paid attention to was the beheading of John the Baptist. “Wow, they cut off his head. Play that again!” One reaction to hearing the gospel caught Everett even more off-guard: (Don’t Sleep, There Are Snakes, Ch. 17, pg. 269) "The women are afraid of Jesus. We do not want him." "Why not?" I asked, wondering what had triggered this declaration. "Because last night he came to our village and tried to have sex with our women. He chased them around the village, trying to stick his large penis into them." Kaaxaóoi proceeded to show me with his two hands held far apart how long Jesus's penis was—a good three feet. But the Pirahã had an even more serious objection to Jesus: (Don’t Sleep, There Are Snakes, Ch. 17, pg. 265-266) Part of the difficulty of my task began to become clear to me. I communicated more or less correctly to the Pirahãs about my Christian beliefs. The men listening to me understood that there was a man named Hisó, Jesus, and that he wanted others to do what he told them. "The Pirahã men then asked, "Hey Dan, what does Jesus look like? Is he dark like us or light like you?" I said, "Well, I have never actually seen him. He lived a long time ago. But I do have his words." "Well, Dan, how do you have his words if you have never heard him or seen him?" They then made it clear that if I had not actually seen this guy (and not in any metaphorical sense, but literally), they weren't interested in any stories I had to tell about him. Period. This is because, as I now knew, the Pirahãs believe only what they see. Sometimes they also believe in things that someone else has told them, so long as that person has personally witnessed what he or she is reporting. In the end, Everett never converted a single Pirahã. But he did even worse than converting zero people—he lost his own faith after coming to believe that the Pirahã had a good point. After keeping this to himself for many years, he revealed his loss of faith to his family, which led to a divorce and his children breaking contact with him for a number of years afterward. But Everett losing his faith in the God of Abraham was only the beginning. Most importantly for us, he also lost his faith in the God of Linguistics—Noam Chomsky. III. THE WAR In 2005, Everett’s paper “Cultural constraints on grammar and cognition in Pirahã: Another look at the design features of human language” was published in the journal Cultural Anthropology. An outsider might expect an article like this, which made a technical observation about the apparent lack of a property called ‘recursion’ in the Pirahã language, to receive an ‘oh, neat’ sort of response. Languages can be pretty different from one another, after all. Mandarin lacks plurals. Spanish sentences can omit an explicit subject. This is one of those kinds of things. But the article ignited a firestorm of controversy that follows Everett to this day. Praise for Everett and his work on recursion in Pirahã: He became a pure charlatan, although he used to be a good descriptive linguist. That is why, as far as I know, all the serious linguists who work on Brazilian languages ignore him. Noam Chomsky, MIT professor and linguist
Inline links: Wikipedia, hard takeoff, grammar, 1, this video, don’t appear to have words for relative directions, “thank you”, “yes” and “no”, long been an opponent, 2, Daniel Everett, Sateré-Mawé people, prepared, Bible and Foreign Missions, 1975, SIL, viscerally prepare, Pirahã people, https://substackcdn.com/image/fetch/$s_!42Ji!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F5c899185-e1a2-4358-ae6a-e9298f6c7cdb_1600x1002.jpeg, source, 3, number words, https://substackcdn.com/image/fetch/$s_!yx-R!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F77975f2c-ef0f-47d7-9ed9-f22bbe04f78b_1024x768.jpeg, source, Cultural constraints on grammar and cognition in Pirahã: Another look at the design features of human language
bedobi, Redditor Apparently he struck a nerve. And there is much more vitriol like this; see Pullum for the best (short) account of the beef I’ve found, along with sources for each quote except the last. On the whole affair, he writes: Calling it a controversy or debate would be an understatement; it was a campaign of vengeance and career sabotage. I’m not going to rehash all of the details, but the conduct of many in the pro-Chomsky faction is pretty shocking. Highly recommended reading. Substantial portions of the books The Kingdom of Speech and Decoding Chomsky are also dedicated to covering the beef and related issues, although I haven’t read them. What’s going on? Assuming Everett is indeed acting in good faith, why did he get this reaction? As I said in the beginning, linguists are those who believe Noam Chomsky is the rightful caliph. Central to Chomsky’s conception of language is the idea that grammar reigns supreme, and that human brains have some specialized structure for learning and processing grammar. In the writing of Chomsky and others, this hypothetical component of our biological endowment is sometimes called the narrow faculty of language (FLN); this is to distinguish it from other (e.g., sensorimotor) capabilities relevant for practical language use. A paper by Hauser, Chomsky, and Fitch titled “The Faculty of Language: What Is It, Who Has It, and How Did It Evolve?” was published in the prestigious journal Science in 2002, just a few years earlier. The abstract contains the sentence: We hypothesize that FLN only includes recursion and is the only uniquely human component of the faculty of language. Some additional context is that Chomsky had spent the past few decades simplifying his theory of language. A good account of this is provided in the first chapter of Chomsky’s Universal Grammar: An Introduction. By 2002, arguably not much was left: the core claims were that (i) grammar is supreme, (ii) all grammar is recursive and hierarchical. More elaborate aspects of previous versions of Chomsky’s theory, like the idea that each language might be identified with different parameter settings of some ‘global’ model constrained by the human brain (the core idea of the so-called ‘principles and parameters’ formulation of universal grammar), were by now viewed as helpful and interesting but not necessarily fundamental. Hence, it stands to reason that evidence suggesting not all grammar is recursive could be perceived as a significant threat to the Chomskyan research program. If not all languages had recursion, then what would be left of Chomsky’s once-formidable theoretical apparatus? Everett’s paper inspired a lively debate, with many arguing that he is lying, or misunderstands his own data, or misunderstands Chomsky, or some combination of all of those things. The most famous anti-Everett response is “Pirahã Exceptionality: A Reassessment” by Nevins, Pesetsky, and Rodrigues (NPR), which was published in the prestigious journal Language in 2009. This paper got a response from Everett, which led to an NPR response-to-the-response. To understand how contentious even the published form of this debate became, I reproduce in full the final two paragraphs of NPR’s response-response: We began this commentary with a brief remark about the publicity that has been generated on behalf of Everett's claims about Pirahã. Although reporters and other nonlinguists may be aware of some ‘big ideas’ prominent in the field, the outside world is largely unaware of one of the most fundamental achievements of modern linguistics: the three-fold discovery that (i) there is such a thing as a FACT about language; (ii) the facts of language pose PUZZLES, which can be stated clearly and precisely; and (iii) we can propose and evaluate SOLUTIONS to these puzzles, using the same intellectual skills that we bring to bear in any other domain of inquiry. This three-fold discovery is the common heritage of all subdisciplines of linguistics and all schools of thought, the thread that unites the work of all serious modern linguists of the last few centuries, and a common denominator for the field. In our opinion, to the extent that CA and related work constitute a ‘volley fired straight at the heart’ of anything, its actual target is no particular school or subdiscipline of linguistics, but rather ANY kind of linguistics that shares the common denominator of fact, puzzle, and solution. That is why we have focused so consistently on basic, common-denominator questions: whether CA’s and E09’s conclusions follow from their premises, whether contradictory published data has been properly taken into account, and whether relevant previous research has been represented and evaluated consistently and accurately. To the extent that outside eyes may be focused on the Pirahã discussion for a while longer, we would like to hope that NP&R (and the present response) have helped reinforce the message that linguistics is a field in which robustness of evidence and soundness of argumentation matter. Two observations here. First, another statement about “serious” linguistics; why does that keep popping up? Second, wow. That’s the closest you can come to cursing someone out in a prestigious journal. Polemics aside, what’s the technical content of each side’s argument? Is Pirahã recursive or not? Much of the debate appears to hinge on two things: what one means by recursion
Inline links: bedobi, Pullum, The Kingdom of Speech, Decoding Chomsky, The Faculty of Language: What Is It, Who Has It, and How Did It Evolve?, principles and parameters, Pirahã Exceptionality: A Reassessment, response from Everett, response-to-the-response
The rub is that artificial systems engineered to perform some particular task well are not black boxes; we can look inside them and tinker as we please. Studying the internal representations and computations of such networks has provided neuroscience with crucial insights in recent years, and such approaches are particularly helpful given how costly neuroscience experiments (which might involve, e.g., training animals and expensive recording equipment) can be. Lots of recent computational neuroscience follows this blueprint: build a recurrent neural network to solve a task neuroscientists study, train it somehow, then study its internal representations to generate hypotheses about what the brain might be doing.
Your Review: Of Mice, Mechanisms, and Dementia
July 11, 2025 · Original source
This critique comes not from a conspiracist on the margins of science, but from Nobel laureate Sir Peter Medawar. A brilliant experimentalist whose work on immune tolerance laid the foundation for modern organ transplantation, Sir Peter understood both the power and the limitations of scientific communication.
But the contrived omissions can also play upon even the most well-regarded scientist’s susceptibility to the seduction of story. As Christophe Bernard, Director of Research at the Institute of Systems Neuroscience (Marseilles, Fr.) recently explained,
Inline links: recently explained
Medawar’s framing is my compass when I do deep dives into major discoveries in translational neuroscience. I approach papers with a dual vision. First, what is actually presented? But second, and often more importantly, what is not shown? How was the work likely done in reality? What alternatives were tried but not reported? What assumptions guided the experimental design? What other interpretations might fit the data if the results are not as convincing or cohesive as argued?
In Defense Of The Amyloid Hypothesis
August 14, 2025 · Original source
The “amyloid hypothesis” says that Alzheimer’s is caused by accumulation of the peptide amyloid-β. It’s the leading model in academia, but a favorite target for science journalists, contrarian bloggers, and neuroscience public intellectuals, who point out problems like:
Anti-amyloid drugs (like Aduhelm) don't reverse the disease, and only slow progression a relatively small amount. Opponents call the amyloid hypothesis zombie science, propped up only by pharmaceutical companies hoping to sell off a few more anti-amyloid me-too drugs before it collapses. Meanwhile, mainstream scientists . . . continue to believe it without really offering any public defense. Scott was so surprised by the size of the gap between official and unofficial opinion that he asked if someone from the orthodox camp would speak out in its favor. I am David Schneider-Joseph, an engineer formerly with SpaceX and Google, now working in AI safety. Alzheimer’s isn’t my field, but I got very interested in it, spent six months studying the literature, and came away believing the amyloid hypothesis was basically completely solid. I thought I’d share that understanding with current skeptics. The ATN model The most plausible variant of the amyloid hypothesis is the A → T → N model: amyloid causes tau causes neurodegeneration. 1: Amyloid The common entrypoint, typically at least 15 years before clinically detectable symptoms [1], is accumulation of amyloid-β deposits (especially Aβ42, one of several variants). Amyloid-β is a peptide produced in healthy human beings and many other animals, probably for antimicrobial purposes [2, 3]. Factors which cause overproduction of amyloid also cause Alzheimer’s. Factors that cause decreased clearance of amyloid also cause Alzheimer’s. The clearest relationship is various genes which massively increase amyloid production (while doing nothing else); these genes are Alzheimer’s risk factors, with some of the rarer and more severe ones causing extreme versions of the disease that manifest at otherwise almost-never-seen ages. One of the clearest examples is Down syndrome, which is caused by three (rather than the usual two) copies of chromosome 21. People with Down syndrome are at much higher risk of Alzheimer’s than the general population: two-thirds will have the condition by age sixty, and 15% have it by age forty. APP, the gene for the amyloid precursor protein, is on chromosome 21. This means that people with Down syndrome will have an extra copy. This extra copy has been observed to lead to higher-than-normal amyloid levels. But there are many genes on chromosome 21; do we have additional evidence that it’s the amyloid one that’s involved? Yes. Dozens of other mutations on APP cause the same sort of extremely young and severe Alzheimer’s. So do mutations on PSEN1 and 2, the genes for the enzyme that processes amyloid precursor protein into amyloid. So do mutations on several other amyloid-related genes. [6, 91 - 96] Researchers call these autosomal-dominant Alzheimer’s, meaning Alzheimer’s cases that get inherited from a single parent in a simple fashion typical of single-gene disorders. They make up about 1% of all cases, and are our strongest evidence for the causal role of amyloid in the disorder. To my knowledge, there is no serious claim that these genes could be working through any pathway other than their shared role in the amyloid system. But these autosomal-dominant cases only make up about 1% of all Alzheimer’s patients. Might they be a different disease than the usual sporadic Alzheimer’s that strikes people without strong family histories at normal ages? Probably not: the presentation and trajectory of autosomal-dominant and sporadic Alzheimer’s cases are strikingly similar. Both show an initial appearance of amyloid pathology starting in intrinsic connectivity networks in both autosomal-dominant [14] and sporadic [15–18] types, cortical tau appearing first in the medial temporal lobe and with the exact same fold in both disease types [97] (despite human tauopathies having at least seven other possible characteristic folds [36]), that tau pathology worsening and spreading outside this region only once amyloid pathology reaches sufficient severity [65], neurodegeneration progressing closely in step with the tau pathology, and the same usual approximate trajectory of cognitive symptoms due to the sequence of affected regions. So it’s as if two bank robberies occurred hours apart, in the same town, and in a highly similar and idiosyncratic manner, and we can positively identify the culprit of one on security camera footage. It’s a good bet the culprit of the other is the same. Increased amyloid production → Alzheimer’s is an especially clear and simple pathway, but any other change in amyloid can also cause the disease. For example Overproduction or reduced clearance of amyloid due to impaired slow wave sleep. Aβ production is neuronal activity-dependent, and toxins (perhaps including Aβ) are cleared from the brain during sleep via the glymphatic system. Thus Aβ can accumulate if the brain is more active and/or has less opportunity for clearance. [7, 8, 9, 10, 11]
Inline links: Aduhelm, David Schneider-Joseph
But biology is messy, and we need to have comfort with complexity. Yes, there’s evidence that tau is responsible for the neurodegeneration in Alzheimer’s disease; no, this doesn’t contradict the amyloid hypothesis. Yes, Biogen screwed up in conducting the aducanumab phase 3 trials and this made the results harder to interpret; no, that doesn’t mean amyloid therapies have completely failed. Yes, it’s taken way too long to get even to this intermediate point of 30% efficacy, due to a combination of overregulation and biology just being damned hard; no, that doesn’t mean we’re on the wrong track with the underlying science.
Non-Book Review Contest 2025 Winners
October 17, 2025 · Original source
Mice, Mechanisms, And Dementia, by Myka Estes. Myka is a neuroscientist and immunologist who has published in Science, Nature Reviews Neuroscience, and Immunity. She currently manages a research lab focused on children with profound neurodevelopmental disorders and publishes the Journal Club with Myka Substack. She’s also in the process of launching an independent bookstore, and in her spare time - she has no spare time.
Inline links: Mice, Mechanisms, And Dementia, Journal Club with Myka
My Father’s Instant Mashed Potatoes, by Chris Finkle. Chris manages a makerspace in central Florida, and despite writing a review about the perils of simulacra he spends much of his free time at various theme parks, haunts, and roadside attractions. His most active social media presence is letterboxd, where he watches at least one movie from each of the last hundred years every year. This was his first time entering an ACX contest, and his other short form writing (mostly science fiction and reflections on pop culture) can be found at The Viewer From Nowhere.
Inline links: My Father’s Instant Mashed Potatoes, letterboxd, science fiction, reflections on pop culture, The Viewer From Nowhere
Miniatur Wunderland, reviewed by Laura González Salmerón. Laura works on the advising team at 80,000 Hours. The world is racing towards transformative AI without much of a plan: apply to speak with the team if you want to use your career to do something about it. Outside work, she’s chipping away at a PhD on representations of science in fiction. She’s using this contest as an excuse to launch a Substack she’s been meaning to start for years, The Turing Text (we’ll see how long it lasts). Blogging about literature, linguistics, and AI seems like productive thesis procrastination.
Inline links: Miniatur Wunderland, apply, The Turing Text
Sadly, Porn6 mentions across 6 issues

Sadly, Porn is a recurring publication in the Astral Codex Ten archive, appearing 6 times across 6 issues between February 16, 2022 and November 17, 2023. The archive places it in contexts such as "what’s the equivalent for Sadly, Porn ?"; "What’s the equivalent for Sadly, Porn?"; "quasi-Lacanianism of Sadly, Porn". It most often appears alongside Freud, Lacan, Lacanian.

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Sadly, Porn
Mention count
6
Issue count
6
First seen
February 16, 2022
Last seen
November 17, 2023
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Book Review: Sadly, Porn
February 16, 2022 · Original source
Freshman English class says all books need a conflict. Man vs. Man, Man vs. Self, whatever. The conflict in Sadly, Porn is Author vs. Reader.
Inline links: Sadly, Porn
Teach’s earlier work centers around Christopher Lasch’s idea of narcissism. Sadly, Porn adds a layer of Lacanian psychoanalysis (I wasn’t smart enough to recognize this myself; other people pointed it out). I’ve been wanting to learn more about Lacan for a while. Partly because I never understood him in school. Partly because Slavoj Zizek is into him and everyone seems to think Zizek is smart. And partly because I recently realized that Kleinian psychoanalysis, which I also never understood, actually has useful insights (hint: compare Part III of this post with the theory of part objects) and for all I know Lacanian psychoanalysis might be the same way.
Inline links: this post
Sadly, Porn consists of a mid-double-digits-number of short-ish (5-10 pages) interpretations of various texts, vaguely connected by rants and insults. The texts range from classical (especially Thucydides and Oedipus Rex), to Biblical, to modern novels, to movies, to pornos, to dreams. Some of them, on closer inspection, are fictional - not in the sense of being works of fiction, but in the sense where Teach made them up.
Highlights From The Comments On "Sadly, Porn"
April 20, 2022 · Original source
I think the interpretation of "Sadly, Porn" is a lot simpler: true to the name, it's mental masturbation that's trying to accuse everyone else of engaging in mental masturbation. Sometimes, when something is dense and inaccessible, it's because it's dealing with high-level concepts; here, I think it's dense and inaccessible because the author's ego has grown so massive it ended up collapsing into a black hole. Admittedly, this is because I don't find claims that some massive number of human beings are essentially p-zombies compelling. As my counterpoint, I'd point out that most people who believe this idea (usually dressed up as "everyone's a sheep; everyone but me") are some flavor of annoying narcissist (either by nature or by circumstance) and ironically the exact same kind of person he's lambasting in this book. I'd put that last part down to a lack of self-awareness.
“What’s the equivalent for Sadly, Porn? If Teach ever felt motivated to explain his technique as clearly as this roshi, what would he say?”
Book Review: A Clinical Introduction To Lacanian Psychoanalysis
April 26, 2022 · Original source
But Lacan doubles down on this idea of ego defense, and ties it into the Law. One of the rare places this book intersected with the quasi-Lacanianism of Sadly, Porn, was its insistence that not only are humans bound by Law, but they insist on being bound by Law, and someone who isn’t bound by Law will flail around desperately looking for some Law to be bound by, until they end up with horses or buttons or whatever else was at hand. I will not deny that this is an interesting prediction of how many people end up with spanking fetishes, or “discipline” fetishes, or master/slave fetishes, or teacher/student fetishes, or some other fetish that ritually re-enacts the establishment of Law. I wonder if anyone has ever had a fetish for judges. What about that very particular white wig they sometimes wear?
On the comments of my Sadly, Porn review, FeepingCreature wrote:
Inline links: wrote
Probably this comes from a combination of genetic instincts and cultural mores just like everything else. But the exact genesis is sort of obscure, and the instincts and mores sure do get channeled along some unusual paths.I wrote about some of this in my Sadly, Porn review, but upon contact with any real people, our society’s stylized description of sex (people get pleasure from genital contact with others, especially hot others) fractures into a dizzying array of inexplicable weirdness.
Book Review: The Gervais Principle
May 10, 2022 · Original source
Blue: financially savvy, bad at romance, natural leader, enjoys biking …then most people will find that they have some traits of each, but that’s just a natural result of the system being made up and useless. Maybe the problem is I’m using this as a psychological type system, but it’s actually supposed to be a business book after all? The namesake principle claims that overperforming Clueless get promoted to middle management, and underperforming Sociopaths get promoted to the top. This ought to be testable. Suppose we looked at a sales firm, or an investment bank, and correlated first-year sales/profits with promotions. I wouldn’t be surprised to learn that overperformers get promoted to the next level up - after all, the naive ordinary model says you get promoted for good work. Surely most people who underperform their first year won’t get promoted, but the Gervais partisan could say that yes, only a few very special underperformers are real Sociopaths. So maybe a better example would be to look at the top levels of corporations where performance is easily measured, and see how many of the big executives overperformed / underperformed / normalperformed during their first year. I would naively predict the top echelons would be made of former normal-to-over-performers, so if someone found they were in fact underperformers that would be a big update for me in favor of all of this Gervais stuff. I can’t find a dataset that would tell me this, but if any of you are very high up in big corporations, please poll your peers and let me know what they say. Also, I don’t get the impression that most top executives are people who had traumas that caused them to see the unmediated Real and achieve dark enlightenment. Lots of them seem to be the rich kids of rich parents, who did well in school and have some level of business talent. I’m guessing the average single mother trying to make ends meet as a receptionist has had ten times more unmediated-Real-experiencing than they ever will. I don’t know, maybe I’m using an unsophisticated definition of trauma and the Real here. Finally, it just seems totally wrong to me that the highest-status and lowest-status members of groups/clubs/societies are legible, and everyone in the middle isn’t. I am thinking of some non-formal groups I belong to, and the highest- and lowest- status people are often as confusing as everyone else. The exceptions are formal organizations with presidents or whatever, but even there I couldn’t tell you who the lowest-status person is. VII. That last section might feel harsh, so I want to stress that I liked a lot of things about Gervais Principle. Gervais Principle feels like what psychoanalysis would be like if it weren’t so devoted to making itself incomprehensible. It explained its theories clearly and gave good examples of each. Even though it stuck to really traditional psychoanalytic ideas (the theory of people getting stuck at developmental stages is classic Freud - see eg anal-retentivity, oral fixation, etc) it vastly exceeded the source material in clarity, plausibility, and ability to avoid naming all of its concepts after barely-related bodily orifices. In particular, I feel like I better understand some of the ideas from Sadly, Porn. People’s desire to subject themselves to an order created by sociopaths. Everyone keeping a ledger of status transactions. Terror of acting openly, and how it breeds bureaucracy and excessive layers of management. It’s all in here. Lacan claimed there were three different personality structures: neurotic, psychotic, and pervert. Suggestive, but I can’t squeeze these into matching Rao’s triad. For example, Lacan’s neurotics are defined by being subject to Law, and potentially by wanting to become the object of others’ desires, which sounds Clueless. But Lacan says neurosis is the most developed stage, whereas Rao says Clueless is the least. Likewise, Lacan says psychotics are incapable of using language normally, instead retreating to stock phrases - a suspiciously good match for Rao’s Clueless description. But Lacanian psychotics are most able to act and least dependent on other people’s approval, which is totally the opposite of Rao’s system. Clinical Introduction hints at a rare personality type who has passed beyond neurosis, and is able to have normal healthy self-motivated desires that are not just the desires of others. It doesn’t dwell on this type, because they rarely see psychoanalysts, but it sounds like a good match for Rao’s Sociopaths. That would mean we have to map all three main Lacanian types into Rao’s Clueless and Losers - but I have no idea how to do this faithfully. So I am less impressed by the typology itself than in the book’s ability to ask questions - or, more precisely, to make the reader ask questions. This is its “organizational literacy” - when confronting people or groups, you can ask things like: What narrative script is a person relying on in order to maintain their sense of specialness?
Inline links: anal-retentivity, oral fixation, https://astralcodexten.substack.com/p/book-review-sadly-porn?s=w, Clinical Introduction
Links For June
July 01, 2022 · Original source
6: More commentary on Edward Teach and Sadly, Porn.
Inline links: commentary on Edward Teach and
Book Review: I See Satan Fall Like Lightning
November 17, 2023 · Original source
I originally picked up this book because I wanted to learn more about mimetic desire. I think there might be something to this part. The “two kids fighting over a toy” example is mine (my neighbors have several small children, who have leaned into this stereotype recently). But also, Girard explains this (I think correctly) as an example of how desire forms at all, beyond a couple of hard-coded things like liking calorie-dense foods. There were hints of this in Sadly, Porn (why do cultural beauty standards exist at all? why are there fads in fetishes?) and I thought it was important and wanted to understand it better.
Inline links: Sadly, Porn
Slatestarcodex6 mentions across 6 issues

Slatestarcodex is a recurring publication in the Astral Codex Ten archive, appearing 6 times across 6 issues between June 03, 2021 and January 21, 2026. The archive places it in contexts such as "Tainter cites the same kinds of studies that were discussed on Slatestarcodex"; "generosity of subscribers to this blog"; "email me at scott@slatestarcodex.com and I’ll put you in touch". It most often appears alongside Scott, United States, Australia.

Article page
Slatestarcodex
Mention count
6
Issue count
6
First seen
June 03, 2021
Last seen
January 21, 2026
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Your Book Review: The Collapse Of Complex Societies
June 03, 2021 · Original source
Tainter cites the same kinds of studies that were discussedonSlatestarcodex and Marginal Revolution a few years ago showing that the US economy is taking more and more effort to produce the same goods over time, and gives it much more cursory treatment – handwaving it as being the same kind of phenomenon that drives decreasing returns in the same areas above. I’m not convinced, and think the more recent explanations/discussions linked above are stronger. The first link above is Scott’s compilation of hypotheses generated by commenters on cost disease and I sadly turned into econphobic epistemic jelly reading them. I certainly don’t think Tainter’s treatment is a strong one compared to others in that discussion, which is a shame, because I think his “increasing complexity kills societies” argument is strongest when leaning on the pillars of sociopolitical and economic inefficiency. Whatever is causing increasing costs, though, Tainter considers the kind of thing that causes societies to collapse.
Inline links: discussed, on, Slatestarcodex, Marginal Revolution
Book Review Contest: Winners
July 10, 2021 · Original source
People who won the top prizes also get monetary awards. Due to the generosity of subscribers to this blog, I've decided to quintuple the amounts I originally promised - so first place will get $5000, second place $2500, and third place $1250. Readers' Choice will also get $1250. If you won a monetary prize, please email me at scott@slatestarcodex.com with either a Paypal account, an Ethereum address, or a charity you want me to donate to.
Finally, if you're curious who wrote which runners-up reviews, you can find a list here. I’ve tried to include full names only for people who explicitly told me to do that, first name plus last initial to people who gave me their full names but didn't give explicit permission, and pseudonyms for everyone else. I've also included personal websites and blogs for everyone who asked or heavily implied that I should list them. If I made an important error in how I listed your name, please email me at scott@slatestarcodex.com
Inline links: here
ACX Grants 1-3 Year Updates
June 18, 2025 · Original source
If that’s you, email me at scott@slatestarcodex.com and I’ll put you in touch.
Now I Really Won That AI Bet
July 08, 2025 · Original source
Not to toot my own horn, but two years ago you were naively saying we'd have GPT-like models scaled up several orders of magnitude (100T parameters) right about now (https://slatestarcodex.com/2020/06/10/the-obligatory-gpt-3-post/#comment-912798).
Inline links: https://slatestarcodex.com/2020/06/10/the-obligatory-gpt-3-post/#comment-912798
My position has always been that there’s no fundamental difference: you just move from matching shallow patterns to deeper patterns, and when the patterns are as deep as the ones humans can match, we call that “real understanding”. This isn’t quite right - there’s a certain form of mental agency that humans still do much better than AIs - but again, it’s a (large) difference in degree rather than in kind.
Inline links: My position has always been, we call that
Thanks to everyone who helped operationalize, judge, and generate images for this bet. Vitor, you owe me $100, email me at scott@slatestarcodex.com.
ACX Grants Results 2025
October 13, 2025 · Original source
Of the 42 grantees, 40 have answered our email asking for confirmation that they still want the grant. I’m still waiting for confirmation emails from Lewis Wall and Nishank B. If you’re reading this and don’t think you got a confirmation email, check your spam folder. If it’s not in your spam folder, email me at scott@slatestarcodex.com. If you can’t reach me or I don’t respond, DM me on Substack or Twitter. I’ll give you until November 1 to get in touch, after which point the grant will be withdrawn. There are also a few projects so deep in stealth I don’t have permission to share their existence; I will mention these as they become public.
If any of you are unhappy with how you have been credited or not-credited, please email me at scott@slatestarcodex.com.
Highlights From The Comments On Scott Adams
January 21, 2026 · Original source
This is my second time having this argument - the first was my Elegy For John McCain, which failed much worse - basically everyone thought it was unfairly negative to him and inappropriate just after his death. That was eight years ago, I don’t think I’ve done any more posts, positive or negative, on people’s deaths since then, and I felt ready to try again. For what it’s worth, I still like the elegy, and am glad I memorialized McCain in some way. This became more awkward after I found out that Adams had said several nice things about me. Sandeep writes: Among the numerous intellectual gifts I have received from reading Scott Adams is that I started reading slatestarcodex on his recommendation (which then had a huge influence on me). I had known about slatestarcodex even before, but it was Adams’ recommendation that gave me the energy to overcome my reading-inertia and start poring through long articles of Alexander. I think I’d heard that Adams recommended me at one point, but forgotten by the time I wrote this post. Here’s one of his articles saying nice things about me; someone else dug up a kind tweet, though it was in response to someone else’s deleted message and I couldn’t see exactly what he was praising. I don’t want to have a blanket policy of never criticizing anyone who’s nice to me; it seems corrupt in the sense of “replacing my journalistic judgment with a policy of praising anyone who gives me favors”. On the other hand, the deepest circle of hell is supposedly reserved for people who betray their benefactors, and this makes game theoretic sense. Without having a general solution to this problem. In this situation, I mainly considered the point above - I don’t think this was a fully hostile article, and so I didn’t run my full “is it appropriate to write a hostile article about this person?” check. But secondarily, I think Adams linked my blog post as part of the usual blogosphere activity of recommending interesting links, not as a specific attempt to kindle a friendship with mutual obligations. If I were his friend, then I hope I would understand him well enough to know whether he would want a mixed memorial like this (and if not, I wouldn’t do it). @Eigengender on Twitter ran a poll, and found that: …which makes me more confident that I landed on the tone I wanted. And several people commented that the essay seemed pro-Adams, or made them like Adams more: Joel McKinnon writes: As a chronic sufferer of TDS I've fallen into the "the friend of my enemy is my enemy," and long stopped having any respect for this other Scott A. The post did a great job of contextualizing a complicated and intelligent man's life and ideas. Jonathan Lipschutz writes: I loved Dilbert! He had a remarkable ability to identify the absurdity of life/reality. I was not aware of so much other material/information/‘wisdom’?!/ideas. It seems to me he was a true, great contributor to America and Americans and Western intellectual discourse in the vain of other greats like Mark Twain. What I learned from your piece, which was absolutely amazing in its own right and shined throughout as a tribute and labor of love, was [Adams’] humanity. He was labeled as a racist, which i believe to be bunk and a lack of honesty/courage with addressing the point/argument he was making. He was an eminently flawed human being, like all humans, but he was also acutely aware of this and tried to help others with humor and honesty. Pointing out ways humans fall short, including himself. But he used his special powers in the service of intellectual honesty/inquisitiveness/love for his fellow human beings. Banjo Kildeer writes: This is a wonderful piece. Your love for Scott Adams shines through. @disgruntledcho1 writes: [This] made me actually feel warmly for Scott Adams, a thus-far unparalleled feat. The most important question is whether Scott Adams himself would have appreciated the post, and this convinces me that he would have. One of Adams’ favorite persuasion topics was what he called “Two Movies On One Screen”, where people would come away from the same event with totally different narratives - for example, a Democrat might watch a Trump speech and conclude that Trump had openly and clearly announced his racism, while a Republican watching the same speech might think that Trump had just said something patriotic and hadn’t mentioned race at all. Whatever his opinion on what I said, I’m sure he would have found your reactions hilarious. … 2: Was I Unfair To Adams? … Leo Abstract writes: [The problem with your eulogy] isn’t that it was harsh--he was harsher to himself, frequently. (i.e. when he said he realized at age 8, sadly looking at his nerdy little face in the mirror, he was gonna have to ‘get rich’). [The] problem is it was just wrong, and seemed badly(or un-)researched. His interest in persuasion was teaching people when others were doing it to them, not teaching them to do it to others. His interest in Trump was Trump doing it BACK at the media, not on his poor voters. Disagree. Adams’ book Win Bigly includes Persuasion Tips, persuasion checklists, and a Persuasion Resource Reading List, all of which take it as a given that he is teaching you to persuade others: I haven’t watched his videos, but they have names like You Could Be MUCH More Persuasive, The Persuasion Playbook (“Learn practical techniques to harness the power of persuasion”), and Persuasion Techniques That Will Improve Your Business And Life. Adams absolutely did not limit his interest in Trump’s persuasion to the media, and praised Trump (for example) using persuasion techniques to take down other Republican candidates. You can find his discussion of how Adams “publicly predicted Ben Carson’s demise” after Trump acted out a mocking version of Carson’s description of getting stabbed in the belt buckle (according to Adams, a masterful example of “visual persuasion”). Leo continues: A good example would be spinning a whole tale about him as an ‘ivermectin true believer’, when he was open about his skepticism. if you knew his history with medically-assisted suicide, you’d know he didn’t plan on fighting the cancer and only did IVM because his fans begged him. I half-apologize for this one. I didn’t try to “spin a whole tale” about Adams as “an ivermectin true believer”. What I said was: » “In 2024, diagnosed with terminal cancer, Adams decided to treat it via ivermectin, according to a protocol recommended by fellow right-wing contrarian Dr. William Makis. This doesn’t seem to me like a story about a cynic milking right-wingers for the grift. It sounds like a true believer.” I stand by that paragraph. I don’t think someone who was milking right-wingers as a cynical grift would have gone so far as to trust their recommendations on what to take for his cancer. I think Adams became a sincere right-winger, and so was willing to listen to right-wing medical advice. But I agree that it was written sloppily and sort of suggests he was an ivermectin true believer. He wasn’t, and I apologize for that. I later realized I didn’t need to read tea leaves about this - he says, very explicitly, in one of his books, that yes, after getting attacked by too many left-wing trolls, he decided to commit to fully joining the right wing: » “If you want to see the world more clearly, avoid joining a tribe. But if you are going to war, leave your clear thinking behind and join a tribe. Trumped joined the Republican tribe to win the presidency. Now I was joining the Trump tribe. For a war against Hillbullies [ie pro-Hillary Clinton bullies]. I was all in.” After I made some of these arguments to Leo, he said: I do think that people who listened to thousands of hours of him speaking off-the-cuff might have a better understanding than someone attempting to gain the same by reading a few of his old blog posts. This is a fair criticism. I tried listening to a couple of his shows, and they had a different, friendlier tone than his books / interviews / tweets. Arguably Adams thought of formal written communication as a place to do manipulation, and verbal communication as a cozier spot where he could relate to people normally and explain all the manipulation he was doing. @Ashwin V writes: If you knew anything about Scott, you would know that he never considered anyone a "lesser human" as you've so confidently asserted. He was streaming and trying to pass on his wisdom on his death bed. This was a response to my claim that Adams “longed to be a manipulator of lesser humans”. Several people including Ashwin objected that Adams didn’t see anyone as lesser, nor think of manipulation as demeaning. For example, nutter_just: “Your error is in thinking you must be a lesser human to be manipulable. My impression was Scott believed everyone was like this even himself which is why he believed self affirmations worked. It’s you manipulating your dumb self.” Again, I’ll half-apologize. I regret my exact framing (“lesser humans”), which I think was unnecessarily inflammatory since it implies he was sort of thinking in those terms. But I think he was doing a bad thing which requires that on some philosophical level he has to be treating other people as his lessers in an unacceptable way, even if he wasn’t consciously thinking that they were. I think trying to manipulate people is inherently demeaning to the dignity of humankind. Nor is it exonerating to say “I also manipulate myself” (even if this is true). For analogy, suppose that Adams was a literal telepathic mind controller. If he used his powers on himself (mind controlling himself to work harder), that sounds like a good lifehack. But if he used his powers to turn everyone else into his zombie slaves, he would be offending the dignity of humankind, and “I also use my powers on myself!” would be no excuse. There are a thousand edge cases, complications, things that are sort of manipulation but not quite, and ways that some of those things might be permissible for the greater good. But none of them change the fact that in the simplest and most typical of cases, like the telepathic mind controller with his zombie slaves, manipulation is wrong. One might object that there are simple, typical cases on the other side too. When a job candidate shaves, dresses nicely, and gives a firm handshake, this is in some sense “manipulating” the interviewer, since it’s an attempt to influence his decision through some channel other than facts. I can’t draw a perfect bright line here between the good and the bad cases, but I would apply tests like “is this an attempt to more effectively convey true information?” (eg when I shave, it conveys that I’m capable of remembering to shave and care a lot about the interview), “is this something where failing to do the thing would also convey even more information?” (eg if I didn’t shave, it would falsely suggest I really didn’t want the job), and “is this something where the target has basically given implied consent to this level of manipulation” (eg the interviewer wants and even hopes that people will dress nicely for the interview). I think some of Adams’ manipulations seem closer to the bad cases than the good ones. He wrote about the moment he decided to use his persuasion powers to convince America to elect Trump. One day when he was doing his dispassionate observer act, he heard about Hillary’s estate tax plan and realized it would cost his estate lots of money. He had no particular principled stance against it (“You can argue whether an estate tax is fair or unfair, but fairness is an argument for idiots and children”) but concluded that: This was personal. This was also the day I decided to move from observer to persuader. Until then I was happy to simply observe and predict. But once Clinton announced her plans to use government force to rob me on my deathbed, it was war. Persuasion war.” Accepting for the sake of argument that Adams’ persuasive powers are as impressive as he thinks, he manipulated thousands of people who might have stood to benefit from an estate tax, or who sincerely believed in fairness-based arguments for an estate tax, to vote against their own interests/beliefs, in order to enrich him personally1. I think this requires some sort of standpoint where you consider their agency and interests less important than your own, and that’s why I described him as wanting to manipulate “lesser humans”. This coexists with him often being very nice, with many people saying his podcast helped them become better people, etc. @janiesaysyay writes: This essay is a great demonstration of the kind of leftist, myopic thinking Scott [Adams] was fighting. This is how [Alexander] describes [Coffee With Scott Adams], one of the most influential online shows: » "I had been vaguely aware that he had some community around him, but on the event of his death, I tried watching an episode or two of his show. I couldn’t entirely follow..." “Some community"?! CWSA was one of the first long running, online, interactive, alternative news shows. Scott was a trailblazer host with his reasonable, thoughtful take on current events, often describing the "2 screens” views of both the left and right political opinions on current events. Scott [Adams]' question and answer discussions with his audience brought varied insights, and gave Americans a nuanced view of news. At the end of his life, Scott was highly influential in American thought, culture and politics. CWSA made it acceptable to be an American, someone who was proud of the country, unashamed of their race; proud of the culture, and proud of the heritage which built the country. This made me wonder whether I was underestimating the reach of Adams’ podcast, so I tried to find statistics. CWSA ranks 50th on Apple’s top 100 news/politics podcasts2. It’s very close to the rankings of Jen Psaki (Biden’s ex-press-secretary) and Al Franken (ex-Senator), but also to very many people I have never heard of. I’m not sure how to interpret this. Comparing YouTube subscribers of Adams and various other podcasts I’ve heard of, all numbers in thousands: Joe Rogan: 21,000
Inline links: Elegy For John McCain, writes, Here’s one of his articles saying nice things about me, ran a poll, writes, writes, writes, writes, writes, https://substackcdn.com/image/fetch/$s_!8Dya!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6aea0e56-b1a1-48ca-84ab-406017ae27a1_1618x462.png, You Could Be MUCH More Persuasive, The Persuasion Playbook, Persuasion Techniques That Will Improve Your Business And Life, writes, nutter_just, https://substackcdn.com/image/fetch/$s_!r4fL!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7d643c5f-b24c-4f01-baad-963686d680da_560x174.jpeg, 1, writes, 2, https://substackcdn.com/image/fetch/$s_!wOcC!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F141d78d7-8756-4ed6-bc53-081bac795a0a_728x250.png
I have seen people try to walk this back by saying Adams only meant they would be persecuted in some way that was metaphorically equivalent to hunting, but I feel like “good chance you will be dead within the year” is saying he means the kind of hunting which literally kills you, and “police will stand down” means that it will be the sort of extremely illegal thing that police would normally react to. I have seen other people try to link this to examples of Republicans actually getting killed, such as Charlie Kirk. But Adams was telling his readers there was “a good chance” that “they” would be dead within a year, which I think implies this fate happening to a significant proportion of ordinary Republicans, not just one prominent person. Also, Kirk was five years after the comment was posted. Can we dismiss this as a joke? I think Adams has used the manipulation technique of saying things that might or might not be jokes and then strategically sticking to them or saying “What? Me? I was only joking! Haha! You can’t take a joke!” depending on which was more convenient to him at that exact second, enough times that I’m not comfortable letting him have that escape. Also, when I was replying to Joel Pollak about this, I happened to glance at his Twitter account, and one of the top tweets was a repost of someone saying that “The Democrat playbook is to arrest every single person who disagrees with them”. I think if I forced Pollak into some kind of extremely literal frame of mind - maybe asked him to bet money on whether I could tweet the words “the Democrats are wrong about immigration” in my Democrat-controlled state without getting arrested - he would admit that, okay, they don’t want to arrest literally every single person who disagrees with them. He was exaggerating for effect, probably in much the way he’s going to say that Scott Adams was exaggerating for effect. You say stuff like “The Democrats are going to HUNT YOU DOWN and LITERALLY MURDER YOU. They will TORTURE YOUR FAMILY and RAPE YOUR DAUGHTER and EAT YOUR PETS and TURN YOUR HOUSE INTO A CHURCH OF SATAN”, and what you mean is “I disagree with the Democrats and sometimes they go overboard cancelling people”. I have a post called If It’s Worth Your Time To Lie, It’s Worth My Time To Correct It. My thesis is that tolerating claims of “directional correctness” - the thing where someone asks to get a pass because even if they said wasn’t literally true, it “points to” an “emotionally correct” thing - is eventually totally corrosive. It means everyone ratchets up their claims to the highest level they think they can get away with (ie walk back later if challenged, as a motte and bailey). And then you end up with this miasma where maybe 5% of people totally believe you, and 50% of people sort of absorb the connotation and think something like that is true, and then people get terrified of the Democrats and think of them as monsters and treat politics as an existential struggle where they will genuinely get arrested or murdered unless they do it to the Democrats first, and then you get a civil war or something. I think Adams and Pollak’s milieu has in fact reached this point, and their love for these kinds of exaggerations is a big part of the cause. Adams was one of the funniest people in the world. If he was actually telling a joke, you could tell by the fact that you were laughing hysterically. “Democrats will hunt and kill you” isn’t funny. I’ll refrain from judgment about whether it was Adams’ sincerely held belief, some kind of annoying manipulation attempt, or whether Adams even recognized a difference between the two. But I think judging him on the fact that it didn’t happen is completely within bounds. … 3: Comments On The Substance Of The Piece … Zanzibar BuckBuck McFate writes: This business where boomers are tolerant of contradictions and find them amusing whereas millennials are horrified is a dynamic I've noticed as well, it seems to be true in politics also, I myself feel this hunger to be authentic all the time. I think it has something to do with the difficulty children have in putting negativity in context. They can't distinguish between a parent having a bad day and venting, or having an existential crisis. So the 50s guy was half right - you don't have to love your boss in your heart of hearts but careful what you say to your kids. Feral Finster writes: » “This is the basic engine of Dilbert: everyone is rewarded in exact inverse proportion to their virtue. Dilbert and Alice are brilliant and hard-working, so they get crumbs. Wally is brilliant but lazy, so he at least enjoys a fool’s paradise of endless coffee and donuts while his co-workers clean up his messes. The P.H.B. is neither smart nor industrious, so he is forever on top, reaping the rewards of everyone else’s toil. Dogbert, an inveterate scammer with a passing resemblance to various trickster deities, makes out best of all.” Compare with the famous observation that executives are sociopaths, management are clueless, and the workers losers. Yeah, it’s interesting to compare Rao and Adams. Rao formulated his Gervais Principle as a specific response to Adams’ Dilbert Principle, which I guess means Rao thought Adams got it wrong. Did he? The Pointy Haired Boss seems to go back and forth between Clueless and Sociopath, which is probably why Rao thought Adams’ work fell short. Dogbert is clearly Sociopath, but has no permanent role in the corporation, and doesn’t really represent a real thing you can be - his character was a ridiculous scammer who succeeded at near-impossible endeavours (like convincing people he was a Nostradamus-style mystical prophet) because the logic of the strip demanded it. Later, Adams foregrounded the CEO character more, maybe to create a purer Sociopath, letting the Boss go closer to Clueless. This is making me somewhat regret accusing Adams of wanting to be the Pointy-Haired Boss. It would have been fairer (and less of an accusation/surprise) to accuse him of wanting to be Dogbert. But again, Dogbert doesn’t represent a real thing you could be, which might have been why the PHB made a better metaphor. (contra my claim, the cover of Win Bigly shows a mashup of Dogbert and Trump. Fine, Dogbert is a thing one person can be.) You can read my full review of The Gervais Principle here. cincilator writes: Scott Alexander, former tribune of nerds now says that the sneerclub was right about everything all along? I didn’t expect that, let me tell you. Several people interpreted me as attacking nerds. I disagree - I think I was attacking self-hating nerds, because nerdiness is fine and you shouldn’t have to hate yourself for it. To spell it out more explicitly: All nerds must eventually realize they’re not going to immediately dominate everything by intellect alone. This isn’t because intellect isn’t great, it’s because 1) it’s only one of many skills, and 2) you probably aren’t even the person with the most intellect. Again, every mildly-talented person has to face this realization, whether it’s a nerd realizing he won’t be the next Einstein or a jock realizing he won’t be the next LeBron. If someone deals with this using denial (one of Freud’s maladaptive defenses), you get the nerd who says no, I really am the next Einstein, ie a crackpot, aka the sort of person who gets featured on Sneerclub. If they deal with it using reaction formation (another of Freud’s maladaptive defenses), you get the self-hating nerd, aka the sort of person who joins Sneerclub4. If they just deal with it maturely instead of spinning up maladaptive defenses against it, they’re a nerd who is hopefully good-natured and accepting of their nerdiness, and hopefully does some good work in some specific small area, and changes the world in some specific small way (or some very large way, if they can work together with other people and get lucky). Bugmaster writes: I think Adams is basically correct. Yes, facts and evidence do exist and are real; but they have virtually no impact on anything socially important -- i.e., on anything important whatsoever. Memes and charisma and persuasion are what matters if you want to achieve life goals that extend beyound yourself and your immediate family. I worry that Adams (and you) are doing something where unless the average person can solve every problem by facts and intelligence alone, then facts+intelligence lose and memes and persuasion win. But the average person also can’t solve every problem by memes+persuasion alone! If Dilbert is an 80th percentile nerd, the 80th percentile persuader is - I don’t know, a used-car salesman? Dilbert’s probably earning more money, especially nowadays when he could make L5 at Google. And if Donald Trump is a 99.9999th percentile persuader, the 99.9999th percentile nerd is Ilya Sutskever. Probably most people would slightly prefer being Trump to Sutskever, but Sutksever does have a couple billion dollars, plus the more ethereal rewards of genius; it still seems like a pretty good deal. I also think you’re doing a sort of black-and-white thinking here. Every day, great persuaders like Sam Bankman-Fried and Elizabeth Holmes end up in jail, because in fact the things that they said were true were not true. Every day, smooth-talking charismatic manipulators successfully seduce the girl into bed with them, then totally fail to turn it into a happy stable marriage, because after a few years even the dumbest woman catches on and figures out whether her mate provides real value or not. Even Donald Trump has only a 37% approval rating, because he can’t make “we should alienate our allies over Greenland” sound plausible to most of the American people. When someone’s very good at it, persuasion sometimes helps them blur facts around the edges. But that’s it. Nobody except Scott Adams and a few psychotherapists ever go to hypnotist school. Most don’t even go to any formal persuasion classes. That’s because hypnotism/persuasion isn’t really a lifehack that helps you win all the time at everything. If the world’s best hypnotist asked a room of VCs for money with a stupid business plan, he would probably fail. This isn’t to say persuasion is useless, and in certain fields it can be very powerful indeed. But let’s not go crazy and start worshipping it. The grass is always greener on the other side. The nerd sits in his cubicle and thinks “If only I were more charismatic.” But the salesman with the bright teeth and the firm handshake thinks “Man, I bet I could get out of this dead-end job if only I were smarter.”5 … 4: The Part On Race And Cancellation (INCLUDED UNDER PROTEST) … Ilya Lozovsky writes: Ninety percent of this essay is brilliant — smarter and realer than anything anyone else has written about Adams — but the end lost me. It's too generous, to the point of being a whitewash. Adams was vicious and hateful and played a material role in convincing Americans to vote for actual fascism. I don't think it's right to "hand it to him." JJ McCullough (JJM’s Shortstack) writes: Good essay, but I think you kinda yadda-yadda'd away his racist rant, which was extremely explicit and extended. I think it was the opposite of a "bog-standard cancellation," which we think of as being a slightly unfair, overzealous policing of an at least slightly subjectively offensive comment, often from years ago. But Scott went on quite a long diatribe about why black people, as a group, are dangerous and undesirable to be around, and why he, personally, goes out of his way to avoid them. Some conservatives have tried to use "bog-standard" anti-woke logic in defending him, but no, his comments really are quite explicitly and undeniably racist, if that term has any useful definition at all. Alex Wotbot writes: Now, you quoted Adams saying: “the best advice I would give to white people is to get the hell away from black people; just get the fuck away” If this was the intended point, does it really make sense that only the far-left freaked out? It’s kind of important to mention this was within a hypothetical. Suppose a survey reported that 26% of a population believes “The phrase ‘It’s OK to be blonde’ is hate speech” and another 21% weren’t sure if they agree with the statement or not. Now suppose you were blonde, would you hang around that population? Now go read the February 2022 Rasmussen Reports survey. Please do better than this, I don’t want to have to Gell-Mann memoryhole this. Many people had strong opinions on this, so I have to respond to it. But first, I want to make it extra clear in capital letters: I AM DOING THIS IN THE COMMENTS POST, TO RESPOND TO YOUR COMMENTS, AND NOT BECAUSE I THINK IT IS THE MOST IMPORTANT THING. Certain people screenshotted the one paragraph of my ten thousand word essay that discussed this and posted it on Twitter, in order to make it look like I was joining in some kind of chorus of liberals reducing Adams to his worst moment. I posted what I thought was a no-nonsense, factual description of what happened, in order not to be accused of hiding it or covering it up. It was the least important part of my essay, I’m aware that writing about it at all opens me to attack from both sides, and I discuss it here only to respond to all of you who wanted to know my opinion on it. Just don’t screenshot it on Twitter and say “LOOK SCOTT IS STILL HARPING ON THE RACE THING”, that’s all I’m asking. That having been said… To make sure we’re all on the same page - Adams’ comments were prompted by this poll, conducted February 2023. The question was: “Do you agree or disagree with this statement: ‘It’s OK to be white’” Among blacks, 53% agreed, 26% disagreed, and 21% were “not sure”. Among whites, the numbers were 81/7/13. Here’s the video of Adams’ comments: Transcript: If nearly half of all blacks are not okay with white people - according to this poll, not according to me - that’s a hate group. And I don’t want to have anything to do with them. And I would say, based on the current way things are going, the best advice I would give to white people is to get the hell away from black people. Just get the f**k away. Wherever you have to go. Just get away. Cause there’s no fixing this. This can’t be fixed. You just have to escape. That’s what I did. I went to a neighborhood with a very low black population. Because unfortunately, there’s a high correlation between the density - this is according to Don Lemon, here I’m just quoting Don Lemon, who said when he lived in a mostly black neighborhood, there were a bunch of problems he didn’t see in white neighborhoods. So even Don Lemon sees a big difference, for your quality of living, based on where you live and who’s there. So I think it makes no sense whatsoever as a white citizen of America to try to help black citizens anymore. It doesn’t make sense. Because there’s no longer a rational impulse. And so I’m… I’m gonna, uh, I’m gonna back off from being helpful to black America, because it doesn’t seem like it pays off. Like I’ve been doing it all my life, and I’ve been… the only outcome is I get called a racist. That’s the only outcome. [cackles] It makes no sense to help black Americans if you’re white… it’s over. Don’t even think it’s worth trying. Totally not trying. Is this racist? I have a piece called Against Murderism, where I talk about why it’s so hard for people to agree on questions about “racism”. The summary: although it would be possible to have someone be purely, axiomatically racist - having it be a premise of their reasoning that they hate black people - in practice few people are like this. More typically, people have some argument more like: I don’t like [specific bad thing]
Inline links: https://substackcdn.com/image/fetch/$s_!KA_U!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa2cb6162-0262-4c4c-8048-e8355f38967a_900x280.gif, If It’s Worth Your Time To Lie, It’s Worth My Time To Correct It, writes, writes, the famous observation that executives are sociopaths, management are clueless, and the workers losers, The Gervais Principle, writes, 4, writes, 5, writes, JJM’s Shortstack, writes, writes, this poll, Against Murderism
Therefore I like minorities less than whites. You can’t argue with (1), because the bad thing might be something like ‘crime’, which everyone dislikes. You can’t argue with (2), because sometimes you can find statistics showing it’s literally true. Your ability to argue with (3) depends on the exact form, but some forms - like “if I knew nothing about two neighborhoods except that one were 100% black and the other 100% white, I would probably prefer to live in the 100% white one” - seem pretty strong. But then what’s left of being against racism? We could think of racism as a bias that makes people update on racial topics far beyond what the data allow. For example, if 0.1% of whites are murderers, and 0.2% of blacks are murderers, this hardly means that you can’t be nice to your white-collar Harvard-educated black colleague, or that you should think of him as a potential-murderer-in-waiting. But even this might be giving the racists too much credit. If 0.1% of whites are murderers, and 0.2% of blacks are murderers, does that mean you should make a Twitter account NGGRKILLER1488 who posts “u look like CHIMP i will enjoy murdering ur family during the race war” under every picture of a black person that comes across your timeline? No? Because a lot of people do do that! I’m not Language Czar, but if you force me to define the word “racism”6, I would call it a bias which makes people take the flaw of an ethnic group (whether real or imagined) further than they would normally go, until whatever core of useful insight they contained becomes caricatured and exaggerated, and they’re being used more to spread hatred and fear than to communicate useful information. None of this is original or interesting, and I’m only saying this cliched and obvious thing so we’re all on the same page. So was Adams’ comment racist in this sense? By now we can probably rehearse the arguments of both sides: LIBERAL: “It’s Okay To Be White” is a known 4chan white supremacist slogan. They chose it as their slogan precisely so it would be awkward when people called them out for saying it, and so they could retreat to saying “We just said it was okay to be white, which surely nobody can hold against us”. This is stupid, we’re under no obligation to pretend we don’t know this, and those 26% of black people who were against it, were against it on this basis. CONSERVATIVE: Yeah, but the poll didn’t ask “do you agree with it as a 4chan white supremacist slogan?”, it just asked about the statement. And besides, most random Americans don’t even know the latest 4chan white supremacist slogans. At least some of the respondents probably meant it literally. My opinion - it seems plausible to me that many of the 26% of respondents who said they disagreed meant they disagreed with the 4chan slogan version, and that many of the rest were doing “symbolic belief”/”emotive responding” such that they interpreted the question as something like “in the history of interactions between the white race and other races, do you believe the white race has behaved in an okay way?”, and that some of the ones left over were Lizardmen. Adams isn’t required to know all of the weird sorts of symbolic belief biases that affect polls (although isn’t “our responses aren’t based on factual beliefs, but constantly malleable based on frame and emotion” sort of his entire shtick?). But at this point, he had lived in the USA for 60 years. He had already had many interactions with black people, both personally and through the news. Given how much other information he had, updating from one ambiguous poll where 26% of people gave an ambiguously bad answer, to “this entire ethnic group of 30 million people is a hate group, and white people should flee them, and try to avoid all interaction with them, and shouldn’t help them in any way” is exactly the sort of caricatured exaggerated7 leaping-to-conclusions that the word “racism” means if it means anything at all8. Does that mean Adams should have been cancelled and lost his livelihood? I’m against this sort of cancellation full stop, so I say no. I think it’s a dumb opinion, and maybe a bit evil in the complicated sense where it’s hard to disentangle evil from ignorance. But many people hold opinions of approximately that level of badness, and it’s not worth hating them all9. … 5: Other Comments … Calvin Collins writes: I learned of you through Scott [Adams]. Think a lot of what you say is valid but have to admit I’m one of the people whose lives he changed for the better. When I first listened I was a 25 year old 3x college dropout and 10 years later I have a great career and family. A lot of that comes from applying his advice. Subjectively I’ll always love him because of what he gave me, without even knowing who I am. [What helped the most were] the reframes and micro lessons. Almost everyday at work or home there’s a situation where one pops into my head: “I’m not anxious, I’m excited”
Inline links: 6, https://substackcdn.com/image/fetch/$s_!qhD3!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7308f73e-7d75-48e2-b0cb-14ecbc1f9cd8_900x280.gif, “symbolic belief”, ”emotive responding”, Lizardmen, 7, 8, against this sort of cancellation full stop, 9, writes
San Francisco Chronicle5 mentions across 5 issues

San Francisco Chronicle is a recurring publication in the Astral Codex Ten archive, appearing 5 times across 5 issues between May 24, 2022 and April 12, 2023. The archive places it in contexts such as "The San Francisco Chronicle accuses him of being “obsessed with stoicism”"; "the San Francisco Chronicle, and the rest of the city establishment"; "Francisco Chronicle reporter and was meant for the Chronicle to publish". It most often appears alongside Harvard, California, Gavin Newsom.

Mention count
5
Issue count
5
First seen
May 24, 2022
Last seen
April 12, 2023
Outbound links
Issue trail
Related pages
Source context
California Gubernatorial Candidates From Z to Z
May 24, 2022 · Original source
The San Francisco Chronicle accuses him of being “obsessed with stoicism”, and I don’t know whether this is some kind of attack or if he is actually obsessed with the philosophy. He does recommend Victor Frankl books to people on Twitter:
Book Review: San Fransicko
June 23, 2022 · Original source
For some reason this top 20 table fails to list Washington DC, which should be just before Atlanta. SF doesn’t make the top 20, although its neighbor Oakland does. Probably most murder variation in US cities is explained by percent African-American and maybe percent Borderer; with relatively few people in these groups SF was never in the running. I’m not sure if some abstracted version of the city with all demographic factors adjusted away would have an unusually high murder rate, but at that point it would be pretty distant from any interesting real-world question. You can see the leaderboard for other types of crime here; San Francisco is often in the top ten, but never the top three. As far as I can tell, San Francisco has seen a big spike in car breakins over the past few years, with no clear trend for other property crime, violent crime, or homicides. It’s not an outlier among American cities in any kind of crime. Conclusion of this section: San Fransicko’s specific claims are basically correct, but suggest a medium-term rise in SF crime which is mostly contradicted by the data. These show stable-to-decreasing murder, stable-to-decreasing violent and property crimes other than car break-ins, and large rises in car break-ins only. The data also show stable-to-decreasing shoplifting, but I’m not sure how much to trust them vs. common sense. Honestly, I’m pretty confused here and not sure what to think. Claim 7: Jim Jones (Of Kool-Aid Cult Fame) Used To Be The Chairman Of SF’s Housing Authority Okay, this isn’t really a statistical claim that I can research different perspectives on. Still, it’s so wacky that I couldn’t resist mentioning it in this review. Jim Jones, famous for killing everyone in his Guyana-based Jonestown cult with poisoned Kool-Aid, used to be the SF government’s top guy on homelessness. Shellenberger writes: Jones married and moved first to Northern California and then to San Francisco with his wife to start a church. He called it the People’s Temple. Jones believed he was the leader of a socialist revolution. He warned of nuclear war and claimed black people would be put in concentration camps. He became a hugely charismatic preacher among African Americans, the disaffiliated poor, and young transplants to the city looking for community. Scenes from the era show a remarkably large and diverse congregation smiling and singing. The People’s Temple grew and provided services. Jones cultivated two progressive San Francisco politicians, George Moscone and Willie Brown, and mobilized people to volunteer for their campaigns […] His son and a San Francisco historian believe he stole the mayoral election for Moscone in 1975. Historian David Talbot, founder of the progressive website Salon, points to evidence that Jones committed sufficient voter fraud to account for Moscone’s narrow 4,443-vote margin of victory. “We loaded up all thirteen of our buses with maybe seventy people on each bus, and we had those buses rolling nonstop up and down the coast into San Francisco the day before the election,” said Jones Jr. “Could we have been the force that tipped the election to Moscone? Absolutely! Slam dunk. He only won by four thousand votes.” When federal investigators looked into fraud claims three years later, they discovered that all of the records were missing from the city of San Francisco’s registrar of voters. Jones also boasted of providing Moscone with black women from his congregation for sex. One time Moscone, drunk and “accompanied by a young black woman whom the politician had kindly agreed to drive home,” crashed into another car. Another time, Moscone and Willie Brown “were with a black woman in an alley at two in the morning at some restaurant in North Beach,” said a local bar owner. State legislator “John Burton was part of that gang too. They were all using marijuana and cocaine.” Said Jones Jr., Moscone would “always be there at temple parties with a cocktail in his hand and doing some ass grabbing.” A Temple member overheard Jones speaking to Moscone the day after one of those parties saying, “I want to let you know that the young lady you went off with is underage,” adding, “Now don’t worry, Mayor, we’ll take care of you—because we know that you’ll take care of us.” Afterward, Moscone made Jones the chairman of the powerful San Francisco Housing Commission. Jones cultivated progressives with money and favors. He made large donations to the ACLU, the NAACP, and United Farm Workers. Jones and Moscone met privately with vice presidential candidate Walter Mondale on a campaign plane a few days before the 1976 presidential election, and Mondale praised People’s Temple shortly afterward. Jones met with First Lady Rosalynn Carter several times. Governor Jerry Brown praised Jones. Glide Memorial Church’s Rev. Cecil Williams loved Jones. There is a photo from 1977 of a smiling Williams awarding Jones the church’s “Martin Luther King, Jr. Award.” Jones used his perch as chairman of the Housing Commission to fight for housing for the poor. He tried to use eminent domain to acquire the International Hotel, a single resident occupancy hotel. After a court sided with the hotel’s owner, Jones mobilized seven thousand protesters to picket it. By mid-January 1977, the situation had become heated. There were rumors that protesters inside the building were armed with guns and Molotov cocktails. Jones lost the legal battle in 1977, and the tenants were evicted. But the drama was a publicity victory for Jones, which burnished his image as a white savior. A conservative member of the Board of Supervisors who was defeated in the mayoral election by Moscone accused the new mayor, the San Francisco Chronicle, and the rest of the city establishment of being blind to Jones’s extremism. “There’s no radical plot in San Francisco,” insisted Moscone, in response. “There’s no one I’ve appointed to any city position whom I regard as radical or extremist.” Willie Brown, a powerful state legislator from 1964 to 1995 before becoming mayor in 1996, “seemed oblivious to Jones’ hucksterism and demagoguery,” notes a historian. Brown was master of ceremonies at a dinner for Jones in the fall of 1976 attended by an adulatory crowd of the rich and powerful, including Governor Jerry Brown. “Let me present to you a combination of Martin King, Angela Davis, Albert Einstein . . . Chairman Mao,” he said, to loud applause. And yet Jones was contemptuous of Brown even as Brown did Jones more and more favors. Jones mocked Brown for his designer suits, sports cars, and women. Once, while Brown was addressing the congregation and Jones was seated onstage behind him, Jones flipped his middle finger up to mock him. San Francisco’s establishment stood by Jones even after a California magazine, New West, owned by Rupert Murdoch, published an exposé of Jones’s beatings of Temple members and financial abuses in August 1977. The article was written by a San Francisco Chronicle reporter and was meant for the Chronicle to publish. But the newspaper killed the story because it didn’t want to alienate Jones, whom it viewed as central to its plans to expand the Chronicle’s circulation in the heavily African American Fillmore District. Jones also managed to avoid investigation and prosecution in part by getting the district attorney to hire as deputy district attorney Jones’s longtime attorney and confidant. Progressives defended Jones against the New West article. At a rally in the summer of 1977, Willie Brown said, “When somebody like Jim Jones comes on the scene, that absolutely scares the hell out of most everybody occupying positions of power in the system.” Angela Davis sent a radio message broadcast over the cult’s compound, Jonestown, in Guyana. “I know you’re in a very difficult situation right now,” she said, “and there is a very profound conspiracy designed to destroy the contributions which you have made to the struggle.” After visiting Jonestown, the attorney to the Black Panthers said, “I have seen paradise.” Harvey Milk, too, was tarnished by his association with Jones. In the fall of 1977, Milk wrote to President Carter’s secretary of health, education, and welfare requesting that Social Security checks be sent to elderly Temple members in Guyana. “People’s Temple,” wrote Milk, has “established a beautiful retirement community in Guyana.” In truth, the cult was disintegrating. Jones separated families and lovers, pitted relatives against each other, and forced neighbors to inform on each other. Jones sent people who violated the rules to solitary confinement in “the Box,” an underground cubicle where people were held as prisoners for days on end. Others were drugged. Progressives who had spent thirty years fighting to close prisons and mental hospitals found themselves praising a man who had reproduced their worst practices. In November 1978 a Bay Area congressman flew to Guyana to investigate human rights violations at Jonestown with NBC News. Jones gave the delegation a formal reception at Jonestown. A Temple member surreptitiously passed a note to one of the delegation members, saying he and another member wanted to escape. They fled the next day after a Temple member tried to stab the congressman. Jones didn’t prevent them from leaving but then sent gunmen to fire machine guns at the delegation at the airport, killing the congressman and four others. A few hours later, 907 inhabitants of Jonestown drank Flavor Aid laced with cyanide and died. Two-thirds of the victims were African American and one-third were children. Jones had told them that if they didn’t drink it they would be killed by invading soldiers from a shadowy global military conspiracy intent on imposing fascism and torturing children. As people started crying in grief, Jones scolded them. “Stop these hysterics,” he said. “This is not the way for people who are socialists or communists to die.” Jones’s wife protested the murder of children and had to be forcibly restrained. “We didn’t commit suicide,” said Jones in a tape recording, “we committed an act of revolutionary suicide protesting the conditions of an inhumane world.” Few were as stained by Jonestown as Willie Brown and George Moscone. “Even as the bloated bodies of the dead were removed from the jungle and the wounded were airlifted by the U.S. Air Force to hospitals in the United States,” wrote a historian, “Brown said he had ‘no regrets’ over his association with Jones.” They repeatedly disavowed responsibility. Said Moscone, “it’s clear that if there was a sinister plan, then we were taken in. But I’m not taking any responsibility. It’s not mine to shoulder.” This is Shellenberger at his best: telling us crazy stories from the recesses of San Francisco history, maybe kind of spinning the narration in a way that makes all progressives seem guilty by association, but with the tale itself so gripping that it’s hard to be mad. And Jones wasn’t alone. This was the golden age of San Francisco cults, when (Shellenberger tells us) “more than half of all high school students in the San Francisco Bay Area reported at least one recruiting attempt by a cult member, and 40 percent reported at least three contacts.” This chapter of SF history came to an end in 1978, when Dan White, who had just resigned from San Francisco’s Board Of Supervisors (ie City Council) entered City Hall through a window and assassinated Mayor Moscone and fellow Supervisor Harvey Milk, then successfully got charges reduced to manslaughter through a legal manuever that has gone down in history as “the Twinkie Defense” (realistically the defense was that he was depressed, but reporters seized on a comment that implied it was because he ate too many Twinkies). Everything about 1970s San Francisco was like this. With the Mayor and his right-hand-man both dead, San Francisco leadership ended up in the hands of previously second-tier politician Dianne Feinstein. Feinstein was what passed for a moderate in 1970s SF (which meant she had been targeted for assassination by various left-wing groups - she survived when a bomb left on her windowsill failed to explode). In Shellenberger’s telling, she managed to clean up some of the mess and restore a semblance of normalcy. San Francisco never forgave her. Moscone - voting fraud committer, underage sex enjoyer, and Jim Jones’ bff - is beloved as a martyr in today’s SF, but (the book points out) Feinstein is so loathed that in 2021 the Board of Education voted to rename Dianne Feinstein Elementary School. The Moscone Center is 2 million square feet and can fit about 10,000 people. Not to be confused with the Moscone Recreation Center, Moscone Station, or Moscone Elementary School. Meanwhile, all Dianne Feinstein got was one lousy elementary school and the Tithonus package of eternal life without eternal youth. Claim 8: The Intolerant Left Shuts Down Debate On These Issues Another one that’s probably hard to do a randomized controlled trial on. You could probably predict that this one was coming - it’s a necessary narrative beat in this genre of book. I think this beat is good. My impression is that people who aren’t themselves public figures disagreeing with left-wing ideas still don’t understand how scary it is and how much hate you get. Maybe now that 2/3s of every political essay written over the past five years is about this topic, people will finally get it through their thick skulls that it exists and is bad. I would also note that “traumatizing the sorts of people who write popular books about politics, in a such a way that they feel compelled as a sort of self-therapy to write page after page telling readers how angry they should be at you and your whole coalition” isn’t great political praxis. I would like people to figure this out and stop doing it. Anyway, Shellenberger is doing his part in this effort: In 2001, the San Francisco Coalition on Homelessness wheat-pasted posters of a fake front-page San Francisco Chronicle across town. Just beneath the masthead a large headline read “Fuck the Homeless!” right above a picture of San Francisco mayor Willie Brown laughing. Below his photo was the headline “Save the Tourists.” Progressives level the same charges at people thirty years later. “Because of some of the stuff I say,” said a community activist in Seattle’s historically black Capitol Hill neighborhood, “people say, ‘Oh, she’s not for them.’ But I have a heart for homeless and mentally ill. Most of my family works with the mentally ill.” Noted a Chronicle journalist in 2017, “Inevitably, homeless advocates and others will say, ‘You’re not compassionate,’” in response to stories about homeless encampments. “They called me a racist,” said Tom. “They accused me, a guy who used to be homeless, of demonizing the homeless, because I’m asking for accountability.” I found myself similarly accused. In 2019, after I published an article for Forbes about the homeless crisis, a progressive homeless activist accused me on Twitter of having written my article to “make money off of a fear tactic” of “fueling hatred [and] even increasing violence against homeless people.” After I asked the former San Francisco supervisor for the Tenderloin neighborhood, former mayoral candidate Jane Kim, how such a progressive city ended up with so much suffering, she said, “My concern, Michael, just to be very honest, is that when that kind of messaging goes out, violence against people who are unhoused goes up.” […] I soon discovered in my research that I was hardly the first person that progressive elected officials and homelessness advocates had accused of fomenting violence against unhoused people. Many others had been criticized for far worse over the years, including San Francisco’s highest elected officials. “The criticism [by progressive homelessness advocates] was heavy, political and personal,” wrote former mayor Willie Brown in his 2008 memoir. “People accused me of abandoning the problem when I was working daily to try and get a solution going. It was brutal. . . . I had become demonized, and my own efforts belittled.” It is notable that the result of such personal attacks is to frighten off people seeking to change, and perhaps improve, the situation. “The problem” of homelessness, concluded Mayor Brown within nine months of entering office, “may not be solvable.” And [Quoting Chris Rufo]. “The chief of psychiatry in a public hospital system in one of the largest California cities told me, ‘I know for a fact, and all of my colleagues know, that what we actually need to deal with the problem in the biggest cities in California is long-term residential secure psychiatric care. But I can’t say that publicly because I would be disemboweled by the activist left. My job would be in jeopardy. My reputation would be in jeopardy. My whole life would get turned upside down for even broaching the subject of expanding secure mental health facilities and compulsory mental health treatment.’ And I said, ‘So what’s the solution?’ and this person said, ‘We muddle through.’” And: In San Francisco, radical left activists protested [African-American] Mayor London Breed in front of her home. Breed said the protesters were “all white people. But that didn’t bother me as much as the taunting of me coming outside with firework torches in their hands looking like what used to happen when the KKK would show up to black people’s houses to burn their houses down.” While I was reading the book, I came across this tweet, which suggests that being unimpressed with SF’s lefty homeless activist scene is not limited to Michael Shellenberger: Claim 9: European Cities Like Amsterdam Successfully Solved Their Own Drug And Homelessness Problems By Doing The Opposite Of SF Shellenberger bases his plan to solve these problems on ideas that he says were pioneered in Amsterdam and spread to other European cities. In the 1980s, Amsterdam had the kinds of problems San Francisco deals with now: open-air drug markets, overdose deaths, homelessness, and crime. But in the 90s, they admitted they had a problem and took decisive action: What’s the secret?” I asked him. “Amsterdam has decriminalized marijuana and many other drugs but I haven’t seen any homeless. What is San Francisco doing wrong?” Rene said that in the 1980s, the Zeedijk neighborhood in Amsterdam was a lot like the Tenderloin [the worst part of San Francisco] today. There was open-air drug use, particularly of heroin, and needles strewn about, as well as crime. People started to flee the neighborhood, worsening its slum conditions. Homeless people squatted in abandoned buildings. “We had ghettos where it was not safe to go,” said Rene, who started working in the neighborhood as a nurse in 1985. It was considered a “no go” zone. “We had a lot of people from abroad who came to Amsterdam because our heroin was so good. But our heroin was so good that they died from it.” At first the city tried a “helping approach” exclusively, offering addicts clean needles, methadone, and other forms of help without any law enforcement, but it didn’t work. “In the eighties we just wanted to help people,” said Rene. “We started with methadone programs and medical treatment. We did a lot of work without much of a carrot and a stick. It was really a disappointment. They just used the methadone to stay addicted. They dealt drugs and committed other crimes. They lied and cheated about it. We were just supporting a different kind of market. We had to learn the hard way [...] The Amsterdam City Council asked the Amsterdam Municipal Health Service to develop a strategy to deal with “unmotivated drug users”...The police broke up the open-air drug scene and health workers were on hand to offer methadone, treatment, and shelter. The police broke up gatherings of more than four or five users, but did not treat personal and private use as a crime. Officers ticketed violators, and if users did not pay their fines, which was frequent, the courts ordered arrests, and sentenced individuals to follow a treatment plan or face incarceration. “For every individual homeless person, we make a plan,” said Rene. “We made tens of thousands of those plans.” Plans are overseen by a caseworker and a team that may include a psychiatrist, shelter provider, service provider, judge, employer, parole officer, and police officer. “You need people in the police and health department working together,” he said. What Amsterdam did was the same as other major European cities. Lisbon, Frankfurt, Vienna, and Zurich all dealt with their open-air drug markets, using a combination of law enforcement and social services. Crucially, Amsterdam and other European cities prevented services from being concentrated in a single neighborhood, since their concentration often enables an open-air drug scene to thrive [...] The efforts worked. “We had several thousand people who were addicted to heroin in the eighties and nineties,” said Rene. “Many died. Today we have four or five hundred people addicted to methadone. And we have about 120 in Amsterdam who we supply heroin to on a medical basis because methadone doesn’t work for them. They have to use heroin.” The Amsterdam strategy goes something like: Break up open-air drug markets and anywhere that more than 4-5 drug users are congregating. Yes, people can just use their drugs in private, but this is legitimately better. Open-air markets normalize drugs with their blatantness, and make it hard to quit for the same reason it’s hard to diet if your partner leaves boxes of donuts out in the house every day.
Inline links: percent African-American, percent Borderer, here, the Twinkie Defense, https://substackcdn.com/image/fetch/$s_!8wK3!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F683b9754-f663-47ad-88f5-aa99bc208ec8_1401x622.jpeg, https://twitter.com/weheartprez/status/1526983899309432832
The Moscone Center is 2 million square feet and can fit about 10,000 people. Not to be confused with the Moscone Recreation Center, Moscone Station, or Moscone Elementary School. Meanwhile, all Dianne Feinstein got was one lousy elementary school and the Tithonus package of eternal life without eternal youth. Claim 8: The Intolerant Left Shuts Down Debate On These Issues Another one that’s probably hard to do a randomized controlled trial on. You could probably predict that this one was coming - it’s a necessary narrative beat in this genre of book. I think this beat is good. My impression is that people who aren’t themselves public figures disagreeing with left-wing ideas still don’t understand how scary it is and how much hate you get. Maybe now that 2/3s of every political essay written over the past five years is about this topic, people will finally get it through their thick skulls that it exists and is bad. I would also note that “traumatizing the sorts of people who write popular books about politics, in a such a way that they feel compelled as a sort of self-therapy to write page after page telling readers how angry they should be at you and your whole coalition” isn’t great political praxis. I would like people to figure this out and stop doing it. Anyway, Shellenberger is doing his part in this effort: In 2001, the San Francisco Coalition on Homelessness wheat-pasted posters of a fake front-page San Francisco Chronicle across town. Just beneath the masthead a large headline read “Fuck the Homeless!” right above a picture of San Francisco mayor Willie Brown laughing. Below his photo was the headline “Save the Tourists.” Progressives level the same charges at people thirty years later. “Because of some of the stuff I say,” said a community activist in Seattle’s historically black Capitol Hill neighborhood, “people say, ‘Oh, she’s not for them.’ But I have a heart for homeless and mentally ill. Most of my family works with the mentally ill.” Noted a Chronicle journalist in 2017, “Inevitably, homeless advocates and others will say, ‘You’re not compassionate,’” in response to stories about homeless encampments. “They called me a racist,” said Tom. “They accused me, a guy who used to be homeless, of demonizing the homeless, because I’m asking for accountability.” I found myself similarly accused. In 2019, after I published an article for Forbes about the homeless crisis, a progressive homeless activist accused me on Twitter of having written my article to “make money off of a fear tactic” of “fueling hatred [and] even increasing violence against homeless people.” After I asked the former San Francisco supervisor for the Tenderloin neighborhood, former mayoral candidate Jane Kim, how such a progressive city ended up with so much suffering, she said, “My concern, Michael, just to be very honest, is that when that kind of messaging goes out, violence against people who are unhoused goes up.” […] I soon discovered in my research that I was hardly the first person that progressive elected officials and homelessness advocates had accused of fomenting violence against unhoused people. Many others had been criticized for far worse over the years, including San Francisco’s highest elected officials. “The criticism [by progressive homelessness advocates] was heavy, political and personal,” wrote former mayor Willie Brown in his 2008 memoir. “People accused me of abandoning the problem when I was working daily to try and get a solution going. It was brutal. . . . I had become demonized, and my own efforts belittled.” It is notable that the result of such personal attacks is to frighten off people seeking to change, and perhaps improve, the situation. “The problem” of homelessness, concluded Mayor Brown within nine months of entering office, “may not be solvable.” And [Quoting Chris Rufo]. “The chief of psychiatry in a public hospital system in one of the largest California cities told me, ‘I know for a fact, and all of my colleagues know, that what we actually need to deal with the problem in the biggest cities in California is long-term residential secure psychiatric care. But I can’t say that publicly because I would be disemboweled by the activist left. My job would be in jeopardy. My reputation would be in jeopardy. My whole life would get turned upside down for even broaching the subject of expanding secure mental health facilities and compulsory mental health treatment.’ And I said, ‘So what’s the solution?’ and this person said, ‘We muddle through.’” And: In San Francisco, radical left activists protested [African-American] Mayor London Breed in front of her home. Breed said the protesters were “all white people. But that didn’t bother me as much as the taunting of me coming outside with firework torches in their hands looking like what used to happen when the KKK would show up to black people’s houses to burn their houses down.” While I was reading the book, I came across this tweet, which suggests that being unimpressed with SF’s lefty homeless activist scene is not limited to Michael Shellenberger: Claim 9: European Cities Like Amsterdam Successfully Solved Their Own Drug And Homelessness Problems By Doing The Opposite Of SF Shellenberger bases his plan to solve these problems on ideas that he says were pioneered in Amsterdam and spread to other European cities. In the 1980s, Amsterdam had the kinds of problems San Francisco deals with now: open-air drug markets, overdose deaths, homelessness, and crime. But in the 90s, they admitted they had a problem and took decisive action: What’s the secret?” I asked him. “Amsterdam has decriminalized marijuana and many other drugs but I haven’t seen any homeless. What is San Francisco doing wrong?” Rene said that in the 1980s, the Zeedijk neighborhood in Amsterdam was a lot like the Tenderloin [the worst part of San Francisco] today. There was open-air drug use, particularly of heroin, and needles strewn about, as well as crime. People started to flee the neighborhood, worsening its slum conditions. Homeless people squatted in abandoned buildings. “We had ghettos where it was not safe to go,” said Rene, who started working in the neighborhood as a nurse in 1985. It was considered a “no go” zone. “We had a lot of people from abroad who came to Amsterdam because our heroin was so good. But our heroin was so good that they died from it.” At first the city tried a “helping approach” exclusively, offering addicts clean needles, methadone, and other forms of help without any law enforcement, but it didn’t work. “In the eighties we just wanted to help people,” said Rene. “We started with methadone programs and medical treatment. We did a lot of work without much of a carrot and a stick. It was really a disappointment. They just used the methadone to stay addicted. They dealt drugs and committed other crimes. They lied and cheated about it. We were just supporting a different kind of market. We had to learn the hard way [...] The Amsterdam City Council asked the Amsterdam Municipal Health Service to develop a strategy to deal with “unmotivated drug users”...The police broke up the open-air drug scene and health workers were on hand to offer methadone, treatment, and shelter. The police broke up gatherings of more than four or five users, but did not treat personal and private use as a crime. Officers ticketed violators, and if users did not pay their fines, which was frequent, the courts ordered arrests, and sentenced individuals to follow a treatment plan or face incarceration. “For every individual homeless person, we make a plan,” said Rene. “We made tens of thousands of those plans.” Plans are overseen by a caseworker and a team that may include a psychiatrist, shelter provider, service provider, judge, employer, parole officer, and police officer. “You need people in the police and health department working together,” he said. What Amsterdam did was the same as other major European cities. Lisbon, Frankfurt, Vienna, and Zurich all dealt with their open-air drug markets, using a combination of law enforcement and social services. Crucially, Amsterdam and other European cities prevented services from being concentrated in a single neighborhood, since their concentration often enables an open-air drug scene to thrive [...] The efforts worked. “We had several thousand people who were addicted to heroin in the eighties and nineties,” said Rene. “Many died. Today we have four or five hundred people addicted to methadone. And we have about 120 in Amsterdam who we supply heroin to on a medical basis because methadone doesn’t work for them. They have to use heroin.” The Amsterdam strategy goes something like: Break up open-air drug markets and anywhere that more than 4-5 drug users are congregating. Yes, people can just use their drugs in private, but this is legitimately better. Open-air markets normalize drugs with their blatantness, and make it hard to quit for the same reason it’s hard to diet if your partner leaves boxes of donuts out in the house every day.
Inline links: https://twitter.com/weheartprez/status/1526983899309432832
The San Francisco districts with the highest (left) and lowest (right) homelessness rates. I correlated homelessness rate and population-adjusted density in the same cities I looked at above, but it didn’t add much predictive value to housing prices. Maybe this is restriction of range (all big cities are dense enough to have homelessness, compared to suburbs), or maybe the key feature is relative rather than absolute density (ie the homeless will go to the densest place nearby). Conclusion: No social phenomenon is ever caused by just one thing, but San Francisco’s homelessness rate is around where a housing-cost-based model would predict. San Fransicko briefly touches on this, but overall tries to de-emphasize it in favor of talking about drugs and mental illness. Critiques of patterns of emphasis are necessarily subjective, but the book’s pattern feels misleading to me. Claim 2: Standard Accounts Underemphasize The Role Of Drugs And Mental Illness In Homelessness Having argued homelessness isn’t just about poverty, the book goes on to say we’re neglecting the central role of mental illness and substance abuse: Over the last decades there were many visible signs that homelessness was about much more than poverty and housing. Between 2010 and 2020, the number of calls made to San Francisco’s 311 line complaining of used hypodermic needles on sidewalks, in parks, and elsewhere rose from 224 to 6,275. In 2018, footage of dozens of people slumped over in an entrance to a Bay Area Rapid Transit (BART) station, many with needles in their arm, went viral. “We call it the heroin freeze,” said one local. “They can stay that way for hours.” Said another, “It’s like the land of the living dead.” For decades researchers have documented much higher levels of mental illness and substance abuse among the homeless than in the rest of the population. It’s true that just 8 and 18 percent of homeless people point to mental illness and substance abuse, respectively, as the primary cause of their homelessness, but researchers have long understood that such self-reports are unreliable due to the socially undesirable nature of substance abuse, and the lack of insight that often accompanies mental illness. Using other methods, San Francisco’s Health Department in 2019 estimated that 4,000 of the city’s 8,035 homeless, sheltered and unsheltered, are both mentally ill and suffering from substance abuse. Of those 4,000, about 1,600 frequently used emergency psychiatric services. Shellenberger’s source for 4000 homeless people having these issues is this SF Chronicle article, which seems to based off of this report. The report does estimate 4000 homeless people with mental illness and substance abuse, but it uses a yearly rather than point estimate of homelessness, and finds 18,000 rather than 8,000 people. That means it only finds a 22% rate of these problems, not a 50% rate. Thanks to commenter Sean for hunting down this report and helping explain this. I looked for other statistics to provide context on this number. This 2013 San Francisco Homeless Count found that 29% admitted chronic depression, 15% PTSD, and 22% some other mental illness. About 30% admitted to a substance use disorder, although as far as I can tell this is just the number who admitted it was a disorder, so maybe more used drugs. This article by the Los Angeles Times describes an LA study finding that 25% of homeless people had mental health issues and 14% had drug issues. The Times re-analyzes it in a way that ups the numbers to 34% and 46%, respectively. But they don’t say exactly what choices they made differently, and the few they do give don’t really inspire confidence. Although in some cases they count questions clearly about mental illness which the official definition inexplicably refused to count, in others they decide to count anyone who has ever had mental illness, reversing a government decision to require the mental illness to be long-term (does this mean that if I lost my house tomorrow, the LA Times use me as an example of a “mentally ill homeless person” because I saw a psychiatrist for OCD when I was a kid?) Studies like these don’t show causation. Sure, mental illness can make people homeless. But homelessness can also cause mental illness. One SF study found psych diagnoses among the homeless to be evenly divided among depression, PTSD, and everything else. Homelessness is a depressing and traumatic environment. Just because someone who’s been on the streets for a year has depression or trauma, doesn’t mean that we should attribute their homelessness to mental illness. This study by the California Policy Lab does better. It asks what factors played a role in homeless people losing their homes, and finds that 50% of unsheltered and 17% of sheltered homeless point to mental illness (given SF’s balance, that suggests 37% of SF homeless would point to that problem). But I can’t help but notice that when you add up the percent of people who lost their homes due to physical illness, psych illness, and drug use, it totals 147%. Based on numbers from other studies, it looks like if you added in job loss, eviction, etc, the numbers would total well above 400%. This makes me think people are saying “yes” if the factor played even a minor role in their eventual homelessness, and this shouldn’t be treated as 37% of homeless having mental health issues being their main problem. The same study finds that about 66% of the homeless “have” some mental health problem, but this time they don’t tell us what question they asked or what criteria they use. What about psychosis in particular? This meta-analysis claims that in developed countries (a category to which San Francisco still nominally belongs) about 19% of homeless people qualify for diagnosis with a psychotic disorder, including 9% with schizophrenia in particular. Not all people with psychotic disorders are completely crazy all the time, and some very much are not, but this is at least a specific condition with real criteria. Conclusion: Overall, I’m disappointed in most of the published research on this question, which seems more interested in producing glossy brochures about funding disparities than in informing anybody what any of their numbers mean. But putting it all together and squinting really hard, I think we can tell a story where 10-20% of the homeless are seriously psychotic, and another 20-30% have contributing mental health conditions including depression, PTSD, and others. Somewhere between 25% and 50% of the homeless have substance abuse problems, and this probably mostly overlaps with the 25% - 50% who have psych diagnoses. I think San Fransicko gets this mostly right. Claim 3: “Housing First” Isn’t As Great As People Think, And Might Be Harmful The National Myth About Homelessness is that The Bad People are refusing to give people houses until they’ve “proven” they “deserve” them, thus perpetuating homelessness when they inevitably fail to qualify. The Good People have united under an exciting new banner called “Housing First” to push the revolutionary idea that people should get houses regardless of whether they conform to normal standards of respectability or not. Wherever this is adopted, homelessness rates fall, and the formerly homeless becoming healthier, safer, and more likely to re-integrate into society. Best of all, the program pays for itself in decreased health care and policing costs. The only impediment to solving homelessness everywhere is the Bad People who still insist on not housing the homeless until they’ve “earned” it. In real life, everyone important has been united under Housing First since the Bush administration made it national policy fifteen years ago, and most of the cities with spiraling homelessness crises have been pursuing Housing First policies for decades (eg San Francisco has been trying Housing First since the 1990s). The Obama and Trump administrations both set funding policies that penalized any non-Housing-First welfare programs. Still, everyone is sure that the reason there are still homeless people must be that some Housing First opponent still exists somewhere, ruining everything with their purity-testing ways. But actually these people have already been relegated to the conservative think tanks where moribund ideas go to die. I have looked through a lot of studies and articles to try to see how well Housing First works. I am most sympathetic to the conclusions of Tsai (2020), who basically says that: Homeless people who are given houses are more housed than homeless people who are not given houses. Way, way more housed. You would not believe how strong of an effect giving someone housing has on them being housed. The same is true for other outcome measures like “time spent experiencing homelessness”, “number of days spent in a temporary homeless shelter”, etc. You might think this is obvious, but this is used as the primary outcome in a lot of studies, and “success” on this metric is behind a lot of claims that “studies show Housing First works great!”
Inline links: this SF Chronicle article, this report, 2013 San Francisco Homeless Count, This article, This study, This meta-analysis, some very much are not, made it national policy, since the 1990s, funding policies, Tsai (2020)
My California Ballot 2022
November 04, 2022 · Original source
Somehow Chen has endorsements from the LA Times, the San Francisco Chronicle, and the San Jose Mercury. I don’t know if this many California papers have ever endorsed a Republican before. They all just say it would be nice to have some fresh faces in government who aren’t associated with the established power structure, which is true but would be equally true for a thousand other positions. I wonder if Cohen did something to piss off the Democratic establishment or something. In any case, if I’m going to try to vote for Republicans occasionally, now is the time.
The San Francisco Chronicle says voters should have primaried Lara, but since they didn’t we are left with two losers and they refuse to endorse either. Time for me to actually stand by my claim that I’m voting purely on how much of a mandate I want to give these Democrats when they inevitably win.
Inline links: San Francisco Chronicle
Book Review: Paper Belt On Fire
March 23, 2023 · Original source
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
Book Review: From Oversight To Overkill
April 12, 2023 · Original source
IRBs aren’t like this in a vacuum. Increasingly many areas of modern American life are like this. The San Francisco Chronicle recently reported it takes 87 permits, two to three years, and $500,000 to get permission to build houses in SF; developers have to face their own “IRB” of NIMBYs, concerned with risks of their own. Teachers complain that instead of helping students, they’re forced to conform to more and more weird regulations, paperwork, and federal mandates. Infrastructure fails to materialize, unable to escape Environmental Review Hell. Ezra Klein calls this “vetocracy”, rule by safety-focused bureaucrats whose mandate is to stop anything that might cause harm, with no consideration of the harm of stopping too many things. It’s worst in medicine, but everywhere else is catching up.
Inline links: recently reported, calls this
Slate5 mentions across 5 issues

Slate is a recurring publication in the Astral Codex Ten archive, appearing 5 times across 5 issues between April 19, 2021 and May 01, 2024. The archive places it in contexts such as "Jamelle Bouie (of Slate)"; "Jamelle Bouie (of Slate) agreed"; "here's Slate in 1996". It most often appears alongside America, Chinese, Germany.

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Slate
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5
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5
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April 19, 2021
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May 01, 2024
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Mantic Monday: Grading My Trump Predictions
April 19, 2021 · Original source
As far as I know, the first post I wrote about Trump was this one, where I argued against the prevailing narrative that Trump was practicing "the politics of white insecurity" or had an unusually white base of support (for a Republican). I wrote that Trump seemed to be doing pretty well (for a Republican) among blacks and Hispanics, and concluded that:
Inline links: this one
In SSC Endorses Clinton, Johnson, Or Stein I wrote about my reasons for opposing Trump. There's a lot in here and I'll try to extract relevant-prediction-shaped things - but be sure to read the post to see how honest you think I'm being in my extractions.
Inline links: SSC Endorses Clinton, Johnson, Or Stein
I think this basically happened. See eg Trump: A Setback For Trumpism. A.
Inline links: Trump: A Setback For Trumpism
Contra Smith On Jewish Selective Immigration
June 14, 2021 · Original source
This is possible. I confess to doing this when listing the Solvang Conference attendees above. But this is why we have objective data. The income, net worth, and education numbers all come from self-report, which shouldn't be vulnerable to this problem. Or you can look at Nobel prizes won by Israel vs. other countries, using Israeli residence as a non-one-drop-rule-biased proxy for Judaism. Or at the Russian numbers, which were presumably based on the Russian census. Really no source of data other than hand-counting Jewish high-achievers is vulnerable to this problem, and we have lots of other sources of data.
Inline links: Nobel prizes won by Israel vs. other countries
Jewish "success" became noticeable mainly after 1800 (perhaps not coincidentally, when Jews started migrating to big cities in Europe). Among the famous scientists and writers and mathematicians and thinkers of pre-1800 Europe, there are notably few Jews. Who is to say that Jewish achievement is not a temporary blip? In America, Jewish achievement seems to fit the pattern of overachievement among recent high-skilled immigrant groups, Indians and Filipinos being other examples. Already, many have talked of a reversion to the mean in Jewish achievement; here's Slate in 1996, and here's Ron Unz more recently.
Inline links: here's Slate in 1996, Ron Unz more recently
21
November 08, 2021 · Original source
This wasn’t the first time Próspera had insinuated itself into life in Crawfish Rock. In Honduras, patronatos are hyperlocal councils empowered to speak on behalf of their communities. In June 2019, Próspera arranged for villagers to elect a new patronato. Monterroso handpicked a slate of candidates, who ran uncontested.
Auroville was originally planned for 50,000 people, but has about 2,500 official citizens, and about another 10,000 squatters. It seems like an, ahem, highly selected population. From a great Slate article on the town:
Inline links: a great Slate article
Contra Kavanagh On Fideism
February 14, 2023 · Original source
A picture my instructor took of me at one of the ruins. Nobody was under any obligation to handhold me out of my Atlantis beliefs. But the #1 Google rank for “site about how Atlantis isn’t real” is a scarce resource. Article space on skeptic blogs (podcasts were still years into the dystopian future at this point) was a scarce resource. And when people frittered these scarce resources away on a thousand identical pieces saying “lol you’re stupid and racist if you believe this, haven’t you heard that conspiracies are always wrong?” - and never on any explanation of the GIANT UNDERWATER PYRAMIDS - yes, I feel like I was wronged. Eventually I lifted myself up by my own bootstraps. I studied some of the relevant history myself (less impressive than it sounds, Wikipedia was just coming into existence around this time). I learned enough about geology to understand on a gut level how natural processes can sometimes produce rocks that are really really artificial-looking - yes, even as artificial-looking as the ones in the picture above. More important, I learned something like rationality. I learned how to make arguments like the one I use in The Pyramid And The Garden. I realized that, for all their skill at finding anomalies, the Atlantis books couldn’t agree on a coherent narrative of their own. Some placed Atlantis in the Atlantic, others in the Pacific, others in Antarctica; some used it to explain artifacts from long after others said that it fell. For a while if I squinted I could sort of kind of smush them into a single story, but that story had even more anomalies than normal historians’. Eventually I gave up and joined the mainstream. I’m not angry at Graham Hancock. I see no evidence he has ever been anything but a weird, well-meaning guy who likes pyramids a little too much. But I feel a burning anger against anti-conspiracy bloggers, anti-conspiracy podcasters, and everyone else who wrote “lol imagine how stupid you would have to be to believe in Atlantis” style articles. Either these people didn’t understand the arguments for and against Atlantis, or they did. If they didn’t, they were frauds, claiming expertise in a subject they knew nothing about. If they did, then at any moment they could have saved me from a five year wild-goose-chase - but chose not to, because it was more fun to insult me. II. Kavanagh makes fun of me for writing 25,000 words on ivermectin. I agree this might not have been the best use of my time, and I would accept this criticism from anyone except Kavanagh - who’s devoted his whole career to thinking about ivermectin and ideas closely aligned to it. There’s a Hindu legend (maybe apocryphal?) about an atheist philosopher who spends literally every second of every day denouncing God. When he dies, God welcomes him into the highest heaven, praising him as a great yogi - for he never let his consciousness stray from awareness of God even for one moment. If by some inexplicable theological anomaly Bret Weinstein turns out to be God, Chris Kavanagh is definitely going to the highest heaven. So Kavanagh’s complaint can’t be that I’m thinking about this question at all. He sort of hints at a complaint where it took me too long to figure out that ivermectin didn’t work - shouldn’t I have been able to do it without the long review? But I clearly said on my first post on the subject that I had long since decided it to my own satisfaction, and was just trying to clear up some of my remaining questions. What is his complaint? At the risk of putting words in his mouth, two parts of his comment stand out to me as having important arguments: I interpret this as - to even try to “evaluate the evidence” at all is a mistake, because it suggests there might be evidence on both sides. Instead, you should admit that some people are idiots who believe things there’s no evidence for, and move on. But the problem with “if studies had supported ivermectin as an effective treatment, it would have been adopted”, is that about thirty different studies did support it, and it was adopted in several countries, mostly in Latin America. The first few meta-analyses of ivermectin found that it worked! I’m not defending ivermectin here. I think there was a reasonable explanation of this: a combination of fraud, poor methodology, publication bias, and maybe Strongyloides infections. But until someone tells you the reasonable explanation, there’s no reasonable explanation! It’s like the giant underwater pyramids. If I go diving and see the giant underwater pyramids, and you just say “LOL, you are stupid, don’t you know conspiracy theories aren’t real?”, you’re not going to convince me! I wanted to give the reasonable explanation, in terms that people could understand. Before doing any research, I had some intuitive guesses about what the reasonable explanation would look like - something something methodological problems something something small studies. But this, itself, isn’t a reasonable explanation. It’s an IOU for a reasonable explanation. I agree that many people are unreasonable and don’t respond to reasonable explanations. I think sometimes this is genetic or something and can’t be helped, but other times it comes after a hundred different experiences where you want reasonable explanations and don’t get them and also people are jerks to you and you learn that the establishment can’t be trusted. Mahabharata: “Even after ten thousand explanations, the fool is no wiser, but the wise man requires only two thousand five hundred.” If I had had to suffer through a few more skeptics calling me racist because I wanted to know why there were giant underwater pyramids, I probably would have believed in Atlantis even harder, out of spite, and never talked myself out of it. And then when ivermectin came along, I would have thought “Scientists? Experts? They’re the guys who are so dumb they can’t even figure out Atlantis existed when there are giant underwater pyramids right in front of their eyes. Screw them, I’m listening to Bret Weinstein.” I side with the Christians. There may be people so far gone into the outer darkness that they can’t be saved, but you are forbidden from ever believing with certainty that any specific individual is in this category. Act as if everyone is one good deed away from falling to their knees and acknowledging the light of Jesus. Moving on: @RachelBCam Imagine Scott’s blog with some more generous degrees of freedom exercised in his analysis, suddenly you have a more positive result &amp; the impression the issue is a genuine controversy. Indeed, this is what people like Alexandros did in response.","username":"C_Kavanagh","name":"Chris Kavanagh","profile_image_url":"","date":"Tue Feb 14 15:50:05 +0000 2023","photos":[],"quoted_tweet":{},"reply_count":0,"retweet_count":0,"like_count":0,"impression_count":0,"expanded_url":{},"video_url":null,"belowTheFold":true}" data-component-name="Twitter2ToDOM"> This is the part I have the most trouble interpreting charitably. I can’t stop reading it as “doing good science is a near occasion of sin for doing bad science”. It sounds kind of like fideism, the belief (more common in atheists’ imaginations than real religion) that somebody who reasons their way to belief in God is a sinner, because a real saint would have believed through blind faith, without having to reason. The best I can do is to think of this as a PR argument: it looks bad to be treating these kinds of questions as live issues. I generally don’t like PR arguments, but while we’re having them: doesn’t it kind of look bad for one side to be promoting fideism? The ivermectinist slogan is “do your own research”. Kavanagh’s apparent slogan is “don’t do research” - even if you get it right, having tried it at all makes you impure. If there’s some argument I know nothing about - pro- vs. anti- skub, perhaps - and all I’ve heard is that the pro-skub people say that you should look at evidence and decide rationally based on your best judgment, and the anti-skub people say you should never look at evidence and have to trust them - I’m already 90-something percent sure pro-skub are the good guys. My model of the PR here - of the overall milieu and psychological factors that turn people into conspiracists - is that they spot some giant underwater pyramids, compelling-seeming facts that appear to point toward conspiracy. These facts have alternative explanations, but these alternatives are less compelling and harder to explain. Realistically some people are going to get caught up in the conspiracy’s superior first-level compellingness and you can’t help them. But other people are on the fence and can be talked down. This is the job of the pro-mainstream-anti-conspiracy people. Instead of doing their job, these people: ignore them
Inline links: The Pyramid And The Garden, so far gone into the outer darkness that they can’t be saved, pro- vs. anti- skub
I don’t think I’m ignoring this. Some might even say I obsess over it. See eg Confirmation Bias As A Misfire Of Normal Bayesian Reasoning, Motivated Reasoning As Mis-Applied Reinforcement Learning, and Trapped Priors As A Basic Problem Of Rationality, which are summaries of long years of thinking about these issues. I’ve looked into this pretty hard and my conclusion is that conspiracy ecosystems fall prey to the exact same biases that all of us have, including experts and correct people. But experts and correct people have slightly less of them, have better self-correction mechanisms, and manage to converge on truth, whereas conspiracy theorists have slightly more of them and shoot off into falsehood. I think of this as very subtle: 0.99^infinity goes to zero; 1.01^infinity goes to infinity. We all struggle with the same tendencies. The trick is in understanding and controlling them.
Inline links: Confirmation Bias As A Misfire Of Normal Bayesian Reasoning, Motivated Reasoning As Mis-Applied Reinforcement Learning, Trapped Priors As A Basic Problem Of Rationality
I discussed this in this other post on ivermectin, where I describe how a false pro-ivermectin claim provoked an equally false anti-ivermectin response provoked an equally false pro-ivermectin response and so on, both sides living entirely in their biases and imagination for several cycles. “Conspiracy ecosystems” don’t have some exotic reasoning style we can’t possibly understand. They have normal reasoning, and are just slightly worse at applying CONSTANT VIGILANCE than everyone else.
Inline links: this other post on ivermectin, CONSTANT VIGILANCE
Book Review: The Origins Of Woke
May 01, 2024 · Original source
Sex discrimination got tacked on half as a joke, half as a poison pill by its enemies to make the bill unpalatable (fact check: true - but there’s a deeper story, see this Slate article for more details). Ideas about “affirmative action” and “disparate impact” weren’t tacked on at all; the bill’s proponents denied that it could be used to justify anything of the sort, and even agreed to include language in the bill saying it was against that. Still, after the bill was passed, a series of executive orders, judicial decisions, and bureaucratic power grabs put all those things in place.
Inline links: true - but there’s a deeper story, see this Slate article for more details
Hanania’s strongest point here, more suggested at than asserted, is that maybe civil rights law prevented Hispanics from assimilating into “white” the same way Italians and Irish did before them. Hanania claims that Mexican-American activists originally demanded to be classified as white, then turned 180 degrees after affirmative action proponents promised them better jobs for being non-white. This seems like one of the bigger what-ifs of American racial history, although people say that maybe Hispanics are assimilating somewhat anyway - the much-remarked upon rise in Hispanic white supremacists seems like a weird yet promising sign here.
Inline links: maybe Hispanics are assimilating somewhat anyway, rise in Hispanic white supremacists
scott@slatestarcodex.com4 mentions across 4 issues

scott@slatestarcodex.com is a recurring publication in the Astral Codex Ten archive, appearing 4 times across 4 issues between January 18, 2024 and October 17, 2025. The archive places it in contexts such as "email me at scott@slatestarcodex.com if you want an introduction"; "If you think this would be a fun challenge, email me at scott@slatestarcodex.com"; "If you didn’t get it, check your spam folder for scott@slatestarcodex.com". It most often appears alongside ACX, Elon Musk, Gwern.

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4
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4
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January 18, 2024
Last seen
October 17, 2025
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Links For January 2024
January 18, 2024 · Original source
38: Related: Oakland teachers union stages “teach-in” where teachers urge students to support Palestine and protest Israel during class time; Jewish students / families feel unsafe and flee the district to neighboring districts and charter schools. Some friends recently set up a tiny home/private school in Oakland that can fit another few 5-9 year olds, tuition ~$1200/month, email me at scott@slatestarcodex.com if you want an introduction.
Inline links: and flee the district to neighboring districts and charter schools
Open Thread 346
September 09, 2024 · Original source
2: I’m interested in holding some kind of AI art Turing test, but I’m not good enough at AI art to do this myself (when I try, the images come out in an obviously AI-ish style, in a way that I’ve seen other AI art users avoid). I was hoping to get a few pictures in the style of old masters, modern art, etc and juxtapose them to real paintings of the same category which are too obscure for most people to recognize. If you think this would be a fun challenge, email me at scott@slatestarcodex.com. I can at least compensate you for the cost of the AI image generation, and I’m open to negotiating more substantial payment. I have many offers now, thank you!
Open Thread 403
October 13, 2025 · Original source
3: All Non-Book Review finalists and honorable mentions (list at #3 here) should have gotten an email asking you to send me your bios for the announcement post. But I have only gotten 6/20 responses. If you didn’t get it, check your spam folder for scott@slatestarcodex.com. If you still didn’t get it, email me. If I don’t answer, DM me on Substack or Twitter.
Inline links: list at #3 here
Non-Book Review Contest 2025 Winners
October 17, 2025 · Original source
All honorable mentions get free ACX subscriptions. All finalists get that plus links to their Substack and the right to try to pitch me articles (I usually say no, but Lars Doucet, Daniel Böttger, and Brandon Hendrickson managed to get through). First / second / third place get $2500, $1000, and $500 respectively2. Give me two weeks to distribute prizes, and if you haven’t gotten your prize or at least an email about it by then, message me at scott@slatestarcodex.com3.
Inline links: Lars Doucet, Daniel Böttger, Brandon Hendrickson, 2, 3
Seeds of Science4 mentions across 4 issues

Seeds of Science is a recurring publication in the Astral Codex Ten archive, appearing 4 times across 4 issues between December 28, 2021 and June 18, 2025. The archive places it in contexts such as "Erik Mohlhenrich, $6,000 , for work on Seeds of Science , a scientific journal"; "head editor at Seeds of Science (ACX grant winner), a journal publishing speculative and non-traditional scientific articles"; "Seeds of Science, a journal publishing speculative and non-traditional scientific articles". It most often appears alongside Australia, Substack, 1DaySooner.

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Seeds of Science
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December 28, 2021
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June 18, 2025
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ACX Grants Results
December 28, 2021 · Original source
Erik Mohlhenrich, $6,000, for work on Seeds of Science, a scientific journal which publishes articles that are nontraditional in content or style with peer review conducted through voting and commenting by a community of "gardeners" (free to join, visit this page for details). Mohlhenrich has been exploring the role of amateurs in science, most recently in this journal article (non-conflict of interest note: the article mentions the SSC Surveys as an example of good amateur science, but this grant decision was made primarily by an outside reviewer). He also writes under the name Roger's Bacon at Secretum Secretorum.
Inline links: Seeds of Science, this page, this journal article, Roger's Bacon, Secretum Secretorum
Book Review Contest 2022 Winners
September 02, 2022 · Original source
=3rd: The Castrato, reviewed by Roger’s Bacon. RB is a teacher based in NYC. He writes at Secretorum and serves as head editor at Seeds of Science (ACX grant winner), a journal publishing speculative and non-traditional scientific articles.
Inline links: The Castrato, Secretorum, Seeds of Science
Open Thread 242
September 18, 2022 · Original source
Seeds of Science, a journal publishing speculative and non-traditional scientific articles, would like to offer itself as a peer-reviewed publishing platform for any analyses using the ACX reader survey data. Visit the website to learn more or contact us at info@theseedsofscience.org
Inline links: website, info@theseedsofscience.org
ACX Grants 1-3 Year Updates
June 18, 2025 · Original source
Codebuff, an AI coding startup I probably can’t take full credit for all of this just from giving them $20K in seed funding, but I continue to appreciate everything they do for this community and the world. 35: Further S’s Political Career This person didn’t win their election, but has since pivoted to AI safety and works in a well-regarded AI policy think tank. 36: Seeds Of Science, A Journal Of Non-Traditional Research No update received, but this was a public journal and it is easy to follow their work, see their website and Substack. They published two dozen articles of widely varying quality through 2023 and 2024, then closed in 2025. A remnant of the original vision survives as a science blogging aggregator. This was about my median expectation for this grant, but it was very inexpensive and I decided to take a chance on it anyway. 37: Good Science Project, Working To Improve Federal Science Funding No update received, but they have a public Substack discussing their progress. Their proposals for NIH reform have influenced Congress and made government agencies pay more attention to scientific integrity. 38: Advising Developing Countries On How To Grow Their Economies With our initial ACX grant, we piloted the Growth Teams model in Rwanda, helping the government jumpstart the export-oriented call center (BPO) industry. Since 2022, that effort has contributed to the creation of 2,000 formal jobs and the emergence of some of the country’s largest private employers. We’ve since expanded to Tanzania, Malawi, and the Indian states of Goa and Meghalaya. To refocus the global development discourse on broad-based economic growth, we co-organized the Growth Summit with the Center for Global Development and the Charter Cities Institute, and have published articles in leading outlets including Stanford Social Innovation Review, ProMarket, and the Global Prosperity Institute. Our work has attracted support from Open Philanthropy, Schmidt Futures, and Mulago Foundation, and our advisors now include economists Lant Pritchett, Stefan Dercon, and Kunal Sen. 39: Help Luca De Leo Get Started In AI Safety Research No update received, but Luca now runs the AI safety group at the University of Buenos Aires, Argentina. 40: Typist For Saharon Shelah This was another ACXG+ Grant, funded by an anonymous outside funder and not listed in the original announcement. Saharon is a prolific and influential Israeli mathematician, but many of his discoveries are hand-written in an unpublishable format. This grant funded a typist to help make his results suitable for publication. According to this page, they have made over fifty new papers and preprints available. Second Cohort: One Year Updates 41: Lead-Acid Battery Recycling In Nigeria The Nigeria field research was a major success. We spent most of September doing field research in multiple major cities in Nigeria, and got a good sense of the used lead-acid battery supply chain. This field research served as the foundation for expanding our project, and has been very impactful in shaping our ongoing research. We published our findings from Nigeria, which were shared with Nigerian government regulators and global NGOs working on lead poisoning. The grant also gave us the on-the-ground experience we needed to both fully understand and credibly engage with groups, both in Nigeria and globally, on the ULAB issue. In the meantime, beyond continued research, we’ve also launched a dashboard (trade.leadbatteries.org) for analyzing global lead trade data. Right now, we’re: Launching two studies (one RCT, one environmental analysis) in Nigeria in collaboration with local universities to develop a more rigorous understanding of lead pollution due to low-standard ULAB recycling in Nigeria Collaborating with a non-profit incubator to launch an NGO focused on demand-side solutions Beginning a partnership with a West African environmental regulator to scale cheap air monitoring technology to quickly identify and reduce lead pollution from low-standard smelting If any of this sounds interesting to you, please sign up for our Substack (leadbatteries.substack.com) or send us an email at hugosmith@uchicago.edu! 42: Compensation For Kidney Donors The End Kidney Deaths Act (H.R. 2687 / EKDA) is a groundbreaking ten-year pilot program designed to save lives and reduce healthcare costs. It provides a refundable tax credit of $10,000 per year for five years, a total of $50,000, to living kidney donors who donate to a stranger, helping those who’ve waited the longest on the transplant list. Between 2010 and 2021, 100,000 Americans died while qualified and waiting for a kidney. The EKDA aims to change that trajectory. Within ten years of its passage, up to 100,000 Americans could receive a life-saving living donor kidney which typically lasts twice as long as a deceased donor kidney. This would not only save lives but also save taxpayers up to $37 billion. The legislation has been reintroduced in the House, and we have a committed Republican Senate lead. Now, we need a Democratic Senator to co-lead and help move this bipartisan effort forward. Time is short, and we are racing to pass the bill this Congressional session. 36 organizations already support the EKDA. Join the movement and help end preventable kidney deaths. Visit EndKidneyDeaths.org to help us get to the finish line. Elaine and her org have been working extremely hard on this; you can read a Vox article on their campaign here. If you want to sign up for her email list and get updates any time there is a representative you can contact or meeting you can join in, go here. 43: Genetic Hack To Prevent Suffering In the estimate of multiple team members, the ACX grant was “worth it” - it likely had a counterfactual net positive impact, even though we had to pivot from our initial fast-track plans for developing the precision anti-suffering therapy. We identify three primary streams of value: a) reducing uncertainty in the emerging field through early exploratory research, helping with the identification of dead ends and promising R&D trajectories; b) a wide range of downstream effects (beyond the “raising awareness” cliché), including talent mobilization and rekindled interest in suffering abolitionism as a distinct cause area; and c) certain developments that cannot yet be publicly disclosed. In December 2024, Marcin Kowrygo (Acting CEO & volunteering contributor), David Pearce (Director of Bioethics), Aatu Koskensilta (President), and a few other team members decided to leave The Far Out Initiative. They look forward to collaborating and applying their experience to advance the suffering abolitionist lineage in the spirit of open science, public good, and thoughtfully decentralized governance. Feel free to reach out to us at suffab at protonmail dot com to discuss collaboration opportunities! I wrote a post profiling the Far Out Initiative here. Unfortunately there were some internal disagreements, and the people ACX Grants was closest to left the organization. I plan to continue to monitor whatever they do next. 44: Advocate For Pandemic Response Team At FDA This team prefers has asked me not to discuss their progress publicly, but you can probably guess what their lives are like right now, and your guess would be correct. 45: Anti-Mosquito Drones We developed a cheap sonar that is able to detect, track and classify the ultrasonic echoes of mosquito wings at more than three meters. I believe it’s a world first! We also have control algorithms that take the sonar data and output control commands that both ram into mosquitoes and avoid the walls of a simulated environment. Our current work is on integrating both components on a real drone, and we expect to be able to kill mosquitoes by June. We’ve also made an internal impact study (napkin-sized) that shows we’ll be more cost-effective than ITNs in urban to periurban environments. So, we’re super excited with what comes next and can’t wait to share the videos of our first interceptions! More information [in the video below] and on our website, https://tornyol.com 46: Tarbell Fellowship For AI Journalism No update received, but they have a public website. I can’t find the Voices program in particular, but the overall fellowship completed their first class of seven fellows and is working on their second. 47: Germicidal UV Lamp Study The research has successfully demonstrated the ability of off the shelf ozone scrubbers to mitigate the ozone production of far-UVC lamps, is now available as a preprint (https://chemrxiv.org/engage/chemrxiv/article-details/67e4cde76dde43c9084d88b7). The paper has been submitted for publication and is currently undergoing peer review. Any ideas you have for potential funders we can approach to help execute our six-year plan to accelerate far-UVC would be appreciated https://blueprintbiosecurity.org/introducing-project-air/ 48: Technological Solutions To Animal Welfare Challenges Directly because of Innovate Animal Ag's work, the first U.S. egg producer publicly announced in the New York Times their adoption of in-ovo sexing technology, eliminating the need to cull day-old male chicks. The initial in-ovo sexing machine began operating in the U.S. at the end of 2024, with the first eggs from these hens expected on shelves in mid-2025. External evaluations estimate our work accelerated U.S. adoption of this technology by over seven years, meaning that once fully implemented, more than 2 billion chicks will have been spared. In addition to continuing to support the rollout of in-ovo sexing in the US and globally, we're now exploring other technologies and paths to impact. Current promising projects include developing humane slaughter methods for fish and advocating for USDA approval of a poultry vaccine against bird flu. They add: If you ever meet folks that are interested animal welfare and are partial to more technocratic and practical solutions, please continue to pass them our way, or connect them directly to me. 49: Assurance Contract Website www.Spartacus.app is an ACX grantee that created a platform to help solve coordination and collective action problems. It enables the creation of campaigns that build critical mass through conditional commitments, which only activate when a sufficient number of people join, converting risk and uncertainty into a higher probability of successful outcomes. They are currently facilitating several projects that leverage conditional commitments, including a dominant assurance contract interface for fashion pop-ups, accelerating a community business association's membership drive, and helping an AI safety organization organize petitions and events, among others. They have pivoted from an emphasis on high-stakes coordination problems requiring anonymity (because they occur too infrequently) to a broader range of more common use cases and have successfully run small-scale campaigns, but are still working toward product-market fit. Despite resource constraints and split time commitments that have impeded faster progress, they remain dedicated to the project's growth and success. You can follow its progress on X or Substack, or email Jordan directly here. 50: Cause Prioritization @ Center For Exploratory Altruism Research Moderately good progress on a salt reduction policy advocacy project we funded; informal commitments have been made by the Ministry of Health, and we're awaiting the publication of a formal administrative order. The official description sounds maximally generic, but this is an EA charity with a broad mandate whose current thesis is that dietary guidelines in developing countries can have outsized effects in saving lives. They’re making some progress on a salt reduction campaign in a developing country they prefer not to name publicly. 51: Mark Webb Studying Land Reform The purpose of this project was to identify specific farmland that could be acquired and transferred to the farmers already working the land. This has been difficult to achieve. I have been able to connect with other charities and landless farmers, and was able to interview a number of people about what their situation looks like, as well as what it would look like to them personally if they owned, rather than rented, their farmland. All this was immensely helpful in pushing this long-term project forward, even if I was unable to identify a specific plot of land that could be used to try the experiment. I intend to continue this project. If you have any insights or connections, I am interested. 52: More AI Advocacy In Australia Good Ancestors is focused on AI safety policy in Australia. Middle powers might be a useful path to influence as the US and China focus on racing, rather than safety. The ACX grant helped us give testimony about AI safety to the Australian Senate alongside Google, Microsoft and Facebook (We were the only nonprofit to give oral evidence to the inquiry. We also engaged government on other AI-related issues, including cybersecurity, biosecurity, consumer law and automated decision making (https://www.goodancestors.org.au/ai-safety). We’re currently working to inform voters about where parties stand on AI safety for the election, ahead of engaging on a likely Australian AI Act in 2025 (https://www.australiansforaisafety.com.au/). This is the same Australian lobbying organization we founded in Year 1, after a change in name and leadership. I continue to be excited about AI safety in middle-tier countries for a few reasons. First, these countries have some power in international organizations to set international standards. Second, companies will usually comply with any not-excessively-burdensome regulation set by any country with a significant market. Third, AI safety is underfunded by the standard of government programs, so Australia setting up a national AI Safety Institute would significantly expand the field. It’s kind of crazy that ACX Grants tier levels of money can have significant effects at this scale, but GA continues to do a great job and we continue to be proud to support them. 53: Campus For African School Of Economics At Zanzibar Charter City The ACX grant helped launch the first research center at the African School of Economics-Zanzibar, which is a main anchor of the Fumba Town charter city project in Zanzibar. This research center is called the Africa Urban Lab (AUL), focused on rapid urbanization across Africa. The AUL launched its first Diploma program in Urban Development with 38 students in our first cohort (now graduated!), including mayors, and deputy mayor, a director of a national Ministry of urban development, and many others. We published our research framing papers for the AUL's research agenda. We raised funding to launch an Urban Expansion Program that's now selecting 15 African cities to support in implementing urban expansion planning on the urban periphery. We held two Public Talks by renowned cities scholars and practitioners. We received additional funding from Emergent Ventures and from the Templeton Foundation. And we've partnered with 8 universities across the region, and with one of these universities (Ardhi) we'll be working with them to update their urban planning and urban economics curriculum (amplifying AUL's impact beyond our own organization). A longer update from end of 2024 is here: https://www.aul.city/blog/reflecting-on-africa-urban-lab-s-inaugural-year-2024-highlights) 54: Online Training Program For Health Workers In Developing Countries To date, over 11,000 health workers in Nigeria have completed our course on basic, life-saving newborn care. ACX funding was catalytic for helping us secure government approvals and complete an evaluation of the impact of our training on health workers' clinical practices. The evaluation shows that birth attendants provide better birth care after taking the course. We fed the evaluation results into an updated model, which suggests the program is 24 times more cost-effective than direct cash transfers (a widely recognized benchmark for cost-effectiveness). The program is likely to become even more cost-effective as we scale up. https://healthlearn.org/blog/updated-impact-model 55: Smartphone Pupillometry To Diagnose Neurological Conditions We have continued to expand our work in the smartphone pupillometry space and the development of our application, PupilScreen (https://www.apertur.ai/). We have expanded our pilot/research program to include new sites across the United States (Missouri, New Jersey, Kentucky, USAC racing, PitFit driver performance training in Indiana) and the world (Nepal, Taiwan, South Africa). We continue to publish at the leading edge of the pupillometry literature as well looking at concussion (https://neuro.jmir.org/2024/1/e58398 and https://pubmed.ncbi.nlm.nih.gov/39682632/), cerebral vasospasm (https://pubmed.ncbi.nlm.nih.gov/39128501/), and stroke (https://pubmed.ncbi.nlm.nih.gov/39674431/ and https://pubmed.ncbi.nlm.nih.gov/39561861/). Currently, we are raising a $3 million seed round via a SAFE to fund the expansion of our work into the hands of healthcare workers and the general public. We will first focus on traumatic brain injury for clinical use and develop a neuro-monitoring wellness application utilizing our technology for the general public. They add: “We would welcome connections to anyone that you think might be interested in supporting our work further by investing in our $3M seed round of funding.” 56: Mike Saint-Antoine’s Biology Tutorial Videos Since getting the grant, I've continued to make Youtube tutorials as planned. One series that I'm especially proud of is about how to make a neural network in the Julia programming language completely from scratch, with no imports, up to the point of being able to solve MNIST (https://www.youtube.com/playlist?list=PLWVKUEZ25V97tNULapu07DhWv6_W4NfpE). Also, a college student in Pakistan came across my videos and invited me to give a virtual Zoom-lecture to her department, so I ended up teaching a 6-hour "Python-for-Biologists" workshop to more than a hundred college students in Pakistan over Zoom. So that was pretty awesome. Also, lately I've been teaching some in-person classes too, mostly at Fractal University in NYC, and I also recently organized a day-long, in-person Beginner Python class for people in my local area (Philly suburbs) who wanted to learn some basic programming. I'm having a lot of fun with this project, and am grateful to Scott and the grant funders for their generosity! 57: Conceptual Boundaries Workshop On AI Safety The workshop was completed successfully; you can read a writeup here. 58: Apart Research To Incubate AI Safety Scientists No update received, but they have a public website, and you can see their impact metrics here. They seem to be in urgent need of more funding. 59: Primer On How To Achieve Political Change No update received and I can’t find anything about this. 60: Research IVF Clinic Success Rates We've built a predictive model that estimates the odds of having a child at different IVF clinics across the country while controlling for factors like patient age and infertility differences that can falsely make some clinics look better than others. We found that an average patient can increase their odds of having a kid by 43% just by going to a top 10% clinic. Patients unlucky enough to go to a bottom 10% clinic will reduce their odds of having a kid by 40%. Next month, we're adding several more clinics, 2023 data, additional procedural controls, and donor/gestational carrier models, which should push our accuracy beyond state-of-the-art models in this space and better isolate clinic impact on patient outcomes. We've launched ivf.clinic, a website where patients can access personalized IVF reports and browse our clinic rankings (though we're still squashing some bugs). Currently, we're expanding our research to include comprehensive insurance coverage and pricing data across clinics nationwide. If anyone has insights on automating the collection of IVF clinic pricing information, I'd love to hear from you at scelarek@gmail.com. 61: Replicate Study On Brain Wave Synchronization For Speeding Learning We have acquired and configured the OpenBCI UltraCortex Mark IV 8-channel EEG headset and a clinical-grade Biosemi 32-channel EEG system. We’ve implemented the required components for the experimental pipeline (computing alpha from EEG, flashing bright white light, presenting stimulus images). We are currently putting them together into a single system that we’ll use to collect the data from several participants. We are aiming to gather data on several participants in late June / early July and complete the pilot of the replication in July 2025. If you’d like to be a participant in the study, [they might announce a link once they have it]. 62: Advocate Repeal Of Interstate Runaway Compact No update received and I can’t find anything about this. 63: Animal Welfare (Especially Fish) In Turkiye Future For Fish asks companies to sign up to FFF's fish welfare commitment, which requires producers to certify their facilities and enforce specific standards for stocking density and harvest. Luckyfish, İlknak, Divan (35 restaurants, 17 hotels) and NG Hotels (5 hotels) have signed and published FFF's fish welfare commitment with İlknak publishing the commitment on their website. Kılıç published its first sustainability report detailing fish welfare policies, including enforcing a maximum stocking density of 10 kg/m³ and confirmation of electrical stunning practices. Longer version with some caveats: https://manifund.org/projects/improving-fish-w From the longer document, these commitments involve things like reducing overcrowding, or stunning fish before killing them. Over 30 million fish were affected just from their single largest commitment, and they say 100 fish are helped per dollar spent. 64: More Georgism Advocacy Lars and Will used the 2021 grant to co-found ValueBase. Will remained with the company, and Lars left to do advocacy work at the Center For Land Economics. Here’s their summary of how things are going: [Our] organization transitioned leadership with Greg Miller, a former Program Analyst at the US Department of Housing and Urban Development, and Lars Doucet, author of Land is A Big Deal and Co-Founder of Valuebase, working full time and Joe Caissie stepping aside. This transition happened naturally as the next career transition for each respective person. Since then, progress has been made on pushing forward legislation. Maryland had two bills introduced to give Baltimore and counties the ability to enact split-rate taxes. One of the bills passed the state senate and would allow Baltimore to enact land value taxes within one mile of rail corridors–this contains 50% of Baltimore’s land value. However, the legislative session ended. We expect the bill to revive next session. The Center for Land Economics has been actively working to help efforts to get this bill passed the line. At the same time, we have uncovered systematic undervaluing of vacant land in assessments. We are writing a report on the assessment issues in Maryland with actionable steps to resolve them.
Inline links: Codebuff, website, Substack, survives, a public Substack, in Rwanda, Growth Summit, Stanford Social Innovation Review, ProMarket, Global Prosperity Institute, Saharon, this page, eadbatteries.substack.com, here, here, a post profiling the Far Out Initiative here, https://tornyol.com, a public website, https://chemrxiv.org/engage/chemrxiv/article-details/67e4cde76dde43c9084d88b7, https://blueprintbiosecurity.org/introducing-project-air/, our way, connect them directly to me, www.Spartacus.app, X, Substack, here, https://www.goodancestors.org.au/ai-safety, https://www.australiansforaisafety.com.au/, https://www.aul.city/blog/reflecting-on-africa-urban-lab-s-inaugural-year-2024-highlights, https://healthlearn.org/blog/updated-impact-model, https://www.youtube.com/playlist?list=PLWVKUEZ25V97tNULapu07DhWv6_W4NfpE, here, public website, here, in urgent need, https://manifund.org/projects/improving-fish-w
Salon3 mentions across 3 issues

Salon is a recurring publication in the Astral Codex Ten archive, appearing 3 times across 3 issues between April 14, 2021 and June 23, 2022. The archive places it in contexts such as "Nightmare libertarian project turns Honduras into the murder capital of the world! says Salon"; "Salon literally wrote an article called If Trump Wins, Say Goodbye To Your Black Friends"; "David Talbot, founder of the progressive website Salon". It most often appears alongside Atlanta, China, France.

Article page
Salon
Mention count
3
Issue count
3
First seen
April 14, 2021
Last seen
June 23, 2022
Outbound links
Issue trail
Related pages
Source context
Prospectus On Próspera
April 14, 2021 · Original source
“Nightmare libertarian project turns Honduras into the murder capital of the world!” says Salon (Honduras’ murder rate has been consistently terrible, started its most recent increase in 2006, started going down in 2011, and is now around the same as it was in 1990; the libertarians control an area of land smaller than a golf course in a country of ten million people). New Republic quoting a Honduran journalist: “I’ve seen all sorts of horrific things in my time, but none as detrimental to the country as this.” (Hurricane Mitch hit Honduras in 1998, killing 7,000 people and leaving 1.5 million homeless; Próspera plans to build a nice city on unoccupied land and let people live in it if they want).
Inline links: Salon, murder rate, New Republic
Mantic Monday: Grading My Trump Predictions
April 19, 2021 · Original source
I wrote this during a time when people were making extreme claims about Trump’s purported racial policies. Matt Yglesias (then at Vox) wrote that “My guess is in a Trump administration angry mobs will beat and murder Jews and people of color with impunity”. Jamelle Bouie (of Slate) agreed and said we were on the edge of “state-sanctioned racial violence”. Salon literally wrote an article called If Trump Wins, Say Goodbye To Your Black Friends (it was subtitled “A Modest Proposal”, but my impression is the joking part was the suggestion to build a black separatist nation in Atlanta). Vox wrote about how minority kids believed they would be forced to leave the country; therapists were called in to help Muslim kids who believed Trump was going to kill them.
Inline links: wrote that, said, If Trump Wins, Say Goodbye To Your Black Friends, minority kids believed they would be forced to leave the country, Trump was going to kill them
Book Review: San Fransicko
June 23, 2022 · Original source
For some reason this top 20 table fails to list Washington DC, which should be just before Atlanta. SF doesn’t make the top 20, although its neighbor Oakland does. Probably most murder variation in US cities is explained by percent African-American and maybe percent Borderer; with relatively few people in these groups SF was never in the running. I’m not sure if some abstracted version of the city with all demographic factors adjusted away would have an unusually high murder rate, but at that point it would be pretty distant from any interesting real-world question. You can see the leaderboard for other types of crime here; San Francisco is often in the top ten, but never the top three. As far as I can tell, San Francisco has seen a big spike in car breakins over the past few years, with no clear trend for other property crime, violent crime, or homicides. It’s not an outlier among American cities in any kind of crime. Conclusion of this section: San Fransicko’s specific claims are basically correct, but suggest a medium-term rise in SF crime which is mostly contradicted by the data. These show stable-to-decreasing murder, stable-to-decreasing violent and property crimes other than car break-ins, and large rises in car break-ins only. The data also show stable-to-decreasing shoplifting, but I’m not sure how much to trust them vs. common sense. Honestly, I’m pretty confused here and not sure what to think. Claim 7: Jim Jones (Of Kool-Aid Cult Fame) Used To Be The Chairman Of SF’s Housing Authority Okay, this isn’t really a statistical claim that I can research different perspectives on. Still, it’s so wacky that I couldn’t resist mentioning it in this review. Jim Jones, famous for killing everyone in his Guyana-based Jonestown cult with poisoned Kool-Aid, used to be the SF government’s top guy on homelessness. Shellenberger writes: Jones married and moved first to Northern California and then to San Francisco with his wife to start a church. He called it the People’s Temple. Jones believed he was the leader of a socialist revolution. He warned of nuclear war and claimed black people would be put in concentration camps. He became a hugely charismatic preacher among African Americans, the disaffiliated poor, and young transplants to the city looking for community. Scenes from the era show a remarkably large and diverse congregation smiling and singing. The People’s Temple grew and provided services. Jones cultivated two progressive San Francisco politicians, George Moscone and Willie Brown, and mobilized people to volunteer for their campaigns […] His son and a San Francisco historian believe he stole the mayoral election for Moscone in 1975. Historian David Talbot, founder of the progressive website Salon, points to evidence that Jones committed sufficient voter fraud to account for Moscone’s narrow 4,443-vote margin of victory. “We loaded up all thirteen of our buses with maybe seventy people on each bus, and we had those buses rolling nonstop up and down the coast into San Francisco the day before the election,” said Jones Jr. “Could we have been the force that tipped the election to Moscone? Absolutely! Slam dunk. He only won by four thousand votes.” When federal investigators looked into fraud claims three years later, they discovered that all of the records were missing from the city of San Francisco’s registrar of voters. Jones also boasted of providing Moscone with black women from his congregation for sex. One time Moscone, drunk and “accompanied by a young black woman whom the politician had kindly agreed to drive home,” crashed into another car. Another time, Moscone and Willie Brown “were with a black woman in an alley at two in the morning at some restaurant in North Beach,” said a local bar owner. State legislator “John Burton was part of that gang too. They were all using marijuana and cocaine.” Said Jones Jr., Moscone would “always be there at temple parties with a cocktail in his hand and doing some ass grabbing.” A Temple member overheard Jones speaking to Moscone the day after one of those parties saying, “I want to let you know that the young lady you went off with is underage,” adding, “Now don’t worry, Mayor, we’ll take care of you—because we know that you’ll take care of us.” Afterward, Moscone made Jones the chairman of the powerful San Francisco Housing Commission. Jones cultivated progressives with money and favors. He made large donations to the ACLU, the NAACP, and United Farm Workers. Jones and Moscone met privately with vice presidential candidate Walter Mondale on a campaign plane a few days before the 1976 presidential election, and Mondale praised People’s Temple shortly afterward. Jones met with First Lady Rosalynn Carter several times. Governor Jerry Brown praised Jones. Glide Memorial Church’s Rev. Cecil Williams loved Jones. There is a photo from 1977 of a smiling Williams awarding Jones the church’s “Martin Luther King, Jr. Award.” Jones used his perch as chairman of the Housing Commission to fight for housing for the poor. He tried to use eminent domain to acquire the International Hotel, a single resident occupancy hotel. After a court sided with the hotel’s owner, Jones mobilized seven thousand protesters to picket it. By mid-January 1977, the situation had become heated. There were rumors that protesters inside the building were armed with guns and Molotov cocktails. Jones lost the legal battle in 1977, and the tenants were evicted. But the drama was a publicity victory for Jones, which burnished his image as a white savior. A conservative member of the Board of Supervisors who was defeated in the mayoral election by Moscone accused the new mayor, the San Francisco Chronicle, and the rest of the city establishment of being blind to Jones’s extremism. “There’s no radical plot in San Francisco,” insisted Moscone, in response. “There’s no one I’ve appointed to any city position whom I regard as radical or extremist.” Willie Brown, a powerful state legislator from 1964 to 1995 before becoming mayor in 1996, “seemed oblivious to Jones’ hucksterism and demagoguery,” notes a historian. Brown was master of ceremonies at a dinner for Jones in the fall of 1976 attended by an adulatory crowd of the rich and powerful, including Governor Jerry Brown. “Let me present to you a combination of Martin King, Angela Davis, Albert Einstein . . . Chairman Mao,” he said, to loud applause. And yet Jones was contemptuous of Brown even as Brown did Jones more and more favors. Jones mocked Brown for his designer suits, sports cars, and women. Once, while Brown was addressing the congregation and Jones was seated onstage behind him, Jones flipped his middle finger up to mock him. San Francisco’s establishment stood by Jones even after a California magazine, New West, owned by Rupert Murdoch, published an exposé of Jones’s beatings of Temple members and financial abuses in August 1977. The article was written by a San Francisco Chronicle reporter and was meant for the Chronicle to publish. But the newspaper killed the story because it didn’t want to alienate Jones, whom it viewed as central to its plans to expand the Chronicle’s circulation in the heavily African American Fillmore District. Jones also managed to avoid investigation and prosecution in part by getting the district attorney to hire as deputy district attorney Jones’s longtime attorney and confidant. Progressives defended Jones against the New West article. At a rally in the summer of 1977, Willie Brown said, “When somebody like Jim Jones comes on the scene, that absolutely scares the hell out of most everybody occupying positions of power in the system.” Angela Davis sent a radio message broadcast over the cult’s compound, Jonestown, in Guyana. “I know you’re in a very difficult situation right now,” she said, “and there is a very profound conspiracy designed to destroy the contributions which you have made to the struggle.” After visiting Jonestown, the attorney to the Black Panthers said, “I have seen paradise.” Harvey Milk, too, was tarnished by his association with Jones. In the fall of 1977, Milk wrote to President Carter’s secretary of health, education, and welfare requesting that Social Security checks be sent to elderly Temple members in Guyana. “People’s Temple,” wrote Milk, has “established a beautiful retirement community in Guyana.” In truth, the cult was disintegrating. Jones separated families and lovers, pitted relatives against each other, and forced neighbors to inform on each other. Jones sent people who violated the rules to solitary confinement in “the Box,” an underground cubicle where people were held as prisoners for days on end. Others were drugged. Progressives who had spent thirty years fighting to close prisons and mental hospitals found themselves praising a man who had reproduced their worst practices. In November 1978 a Bay Area congressman flew to Guyana to investigate human rights violations at Jonestown with NBC News. Jones gave the delegation a formal reception at Jonestown. A Temple member surreptitiously passed a note to one of the delegation members, saying he and another member wanted to escape. They fled the next day after a Temple member tried to stab the congressman. Jones didn’t prevent them from leaving but then sent gunmen to fire machine guns at the delegation at the airport, killing the congressman and four others. A few hours later, 907 inhabitants of Jonestown drank Flavor Aid laced with cyanide and died. Two-thirds of the victims were African American and one-third were children. Jones had told them that if they didn’t drink it they would be killed by invading soldiers from a shadowy global military conspiracy intent on imposing fascism and torturing children. As people started crying in grief, Jones scolded them. “Stop these hysterics,” he said. “This is not the way for people who are socialists or communists to die.” Jones’s wife protested the murder of children and had to be forcibly restrained. “We didn’t commit suicide,” said Jones in a tape recording, “we committed an act of revolutionary suicide protesting the conditions of an inhumane world.” Few were as stained by Jonestown as Willie Brown and George Moscone. “Even as the bloated bodies of the dead were removed from the jungle and the wounded were airlifted by the U.S. Air Force to hospitals in the United States,” wrote a historian, “Brown said he had ‘no regrets’ over his association with Jones.” They repeatedly disavowed responsibility. Said Moscone, “it’s clear that if there was a sinister plan, then we were taken in. But I’m not taking any responsibility. It’s not mine to shoulder.” This is Shellenberger at his best: telling us crazy stories from the recesses of San Francisco history, maybe kind of spinning the narration in a way that makes all progressives seem guilty by association, but with the tale itself so gripping that it’s hard to be mad. And Jones wasn’t alone. This was the golden age of San Francisco cults, when (Shellenberger tells us) “more than half of all high school students in the San Francisco Bay Area reported at least one recruiting attempt by a cult member, and 40 percent reported at least three contacts.” This chapter of SF history came to an end in 1978, when Dan White, who had just resigned from San Francisco’s Board Of Supervisors (ie City Council) entered City Hall through a window and assassinated Mayor Moscone and fellow Supervisor Harvey Milk, then successfully got charges reduced to manslaughter through a legal manuever that has gone down in history as “the Twinkie Defense” (realistically the defense was that he was depressed, but reporters seized on a comment that implied it was because he ate too many Twinkies). Everything about 1970s San Francisco was like this. With the Mayor and his right-hand-man both dead, San Francisco leadership ended up in the hands of previously second-tier politician Dianne Feinstein. Feinstein was what passed for a moderate in 1970s SF (which meant she had been targeted for assassination by various left-wing groups - she survived when a bomb left on her windowsill failed to explode). In Shellenberger’s telling, she managed to clean up some of the mess and restore a semblance of normalcy. San Francisco never forgave her. Moscone - voting fraud committer, underage sex enjoyer, and Jim Jones’ bff - is beloved as a martyr in today’s SF, but (the book points out) Feinstein is so loathed that in 2021 the Board of Education voted to rename Dianne Feinstein Elementary School. The Moscone Center is 2 million square feet and can fit about 10,000 people. Not to be confused with the Moscone Recreation Center, Moscone Station, or Moscone Elementary School. Meanwhile, all Dianne Feinstein got was one lousy elementary school and the Tithonus package of eternal life without eternal youth. Claim 8: The Intolerant Left Shuts Down Debate On These Issues Another one that’s probably hard to do a randomized controlled trial on. You could probably predict that this one was coming - it’s a necessary narrative beat in this genre of book. I think this beat is good. My impression is that people who aren’t themselves public figures disagreeing with left-wing ideas still don’t understand how scary it is and how much hate you get. Maybe now that 2/3s of every political essay written over the past five years is about this topic, people will finally get it through their thick skulls that it exists and is bad. I would also note that “traumatizing the sorts of people who write popular books about politics, in a such a way that they feel compelled as a sort of self-therapy to write page after page telling readers how angry they should be at you and your whole coalition” isn’t great political praxis. I would like people to figure this out and stop doing it. Anyway, Shellenberger is doing his part in this effort: In 2001, the San Francisco Coalition on Homelessness wheat-pasted posters of a fake front-page San Francisco Chronicle across town. Just beneath the masthead a large headline read “Fuck the Homeless!” right above a picture of San Francisco mayor Willie Brown laughing. Below his photo was the headline “Save the Tourists.” Progressives level the same charges at people thirty years later. “Because of some of the stuff I say,” said a community activist in Seattle’s historically black Capitol Hill neighborhood, “people say, ‘Oh, she’s not for them.’ But I have a heart for homeless and mentally ill. Most of my family works with the mentally ill.” Noted a Chronicle journalist in 2017, “Inevitably, homeless advocates and others will say, ‘You’re not compassionate,’” in response to stories about homeless encampments. “They called me a racist,” said Tom. “They accused me, a guy who used to be homeless, of demonizing the homeless, because I’m asking for accountability.” I found myself similarly accused. In 2019, after I published an article for Forbes about the homeless crisis, a progressive homeless activist accused me on Twitter of having written my article to “make money off of a fear tactic” of “fueling hatred [and] even increasing violence against homeless people.” After I asked the former San Francisco supervisor for the Tenderloin neighborhood, former mayoral candidate Jane Kim, how such a progressive city ended up with so much suffering, she said, “My concern, Michael, just to be very honest, is that when that kind of messaging goes out, violence against people who are unhoused goes up.” […] I soon discovered in my research that I was hardly the first person that progressive elected officials and homelessness advocates had accused of fomenting violence against unhoused people. Many others had been criticized for far worse over the years, including San Francisco’s highest elected officials. “The criticism [by progressive homelessness advocates] was heavy, political and personal,” wrote former mayor Willie Brown in his 2008 memoir. “People accused me of abandoning the problem when I was working daily to try and get a solution going. It was brutal. . . . I had become demonized, and my own efforts belittled.” It is notable that the result of such personal attacks is to frighten off people seeking to change, and perhaps improve, the situation. “The problem” of homelessness, concluded Mayor Brown within nine months of entering office, “may not be solvable.” And [Quoting Chris Rufo]. “The chief of psychiatry in a public hospital system in one of the largest California cities told me, ‘I know for a fact, and all of my colleagues know, that what we actually need to deal with the problem in the biggest cities in California is long-term residential secure psychiatric care. But I can’t say that publicly because I would be disemboweled by the activist left. My job would be in jeopardy. My reputation would be in jeopardy. My whole life would get turned upside down for even broaching the subject of expanding secure mental health facilities and compulsory mental health treatment.’ And I said, ‘So what’s the solution?’ and this person said, ‘We muddle through.’” And: In San Francisco, radical left activists protested [African-American] Mayor London Breed in front of her home. Breed said the protesters were “all white people. But that didn’t bother me as much as the taunting of me coming outside with firework torches in their hands looking like what used to happen when the KKK would show up to black people’s houses to burn their houses down.” While I was reading the book, I came across this tweet, which suggests that being unimpressed with SF’s lefty homeless activist scene is not limited to Michael Shellenberger: Claim 9: European Cities Like Amsterdam Successfully Solved Their Own Drug And Homelessness Problems By Doing The Opposite Of SF Shellenberger bases his plan to solve these problems on ideas that he says were pioneered in Amsterdam and spread to other European cities. In the 1980s, Amsterdam had the kinds of problems San Francisco deals with now: open-air drug markets, overdose deaths, homelessness, and crime. But in the 90s, they admitted they had a problem and took decisive action: What’s the secret?” I asked him. “Amsterdam has decriminalized marijuana and many other drugs but I haven’t seen any homeless. What is San Francisco doing wrong?” Rene said that in the 1980s, the Zeedijk neighborhood in Amsterdam was a lot like the Tenderloin [the worst part of San Francisco] today. There was open-air drug use, particularly of heroin, and needles strewn about, as well as crime. People started to flee the neighborhood, worsening its slum conditions. Homeless people squatted in abandoned buildings. “We had ghettos where it was not safe to go,” said Rene, who started working in the neighborhood as a nurse in 1985. It was considered a “no go” zone. “We had a lot of people from abroad who came to Amsterdam because our heroin was so good. But our heroin was so good that they died from it.” At first the city tried a “helping approach” exclusively, offering addicts clean needles, methadone, and other forms of help without any law enforcement, but it didn’t work. “In the eighties we just wanted to help people,” said Rene. “We started with methadone programs and medical treatment. We did a lot of work without much of a carrot and a stick. It was really a disappointment. They just used the methadone to stay addicted. They dealt drugs and committed other crimes. They lied and cheated about it. We were just supporting a different kind of market. We had to learn the hard way [...] The Amsterdam City Council asked the Amsterdam Municipal Health Service to develop a strategy to deal with “unmotivated drug users”...The police broke up the open-air drug scene and health workers were on hand to offer methadone, treatment, and shelter. The police broke up gatherings of more than four or five users, but did not treat personal and private use as a crime. Officers ticketed violators, and if users did not pay their fines, which was frequent, the courts ordered arrests, and sentenced individuals to follow a treatment plan or face incarceration. “For every individual homeless person, we make a plan,” said Rene. “We made tens of thousands of those plans.” Plans are overseen by a caseworker and a team that may include a psychiatrist, shelter provider, service provider, judge, employer, parole officer, and police officer. “You need people in the police and health department working together,” he said. What Amsterdam did was the same as other major European cities. Lisbon, Frankfurt, Vienna, and Zurich all dealt with their open-air drug markets, using a combination of law enforcement and social services. Crucially, Amsterdam and other European cities prevented services from being concentrated in a single neighborhood, since their concentration often enables an open-air drug scene to thrive [...] The efforts worked. “We had several thousand people who were addicted to heroin in the eighties and nineties,” said Rene. “Many died. Today we have four or five hundred people addicted to methadone. And we have about 120 in Amsterdam who we supply heroin to on a medical basis because methadone doesn’t work for them. They have to use heroin.” The Amsterdam strategy goes something like: Break up open-air drug markets and anywhere that more than 4-5 drug users are congregating. Yes, people can just use their drugs in private, but this is legitimately better. Open-air markets normalize drugs with their blatantness, and make it hard to quit for the same reason it’s hard to diet if your partner leaves boxes of donuts out in the house every day.
Inline links: percent African-American, percent Borderer, here, the Twinkie Defense, https://substackcdn.com/image/fetch/$s_!8wK3!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F683b9754-f663-47ad-88f5-aa99bc208ec8_1401x622.jpeg, https://twitter.com/weheartprez/status/1526983899309432832
Scientific American3 mentions across 3 issues

Scientific American is a recurring publication in the Astral Codex Ten archive, appearing 3 times across 3 issues between February 14, 2021 and December 22, 2022. The archive places it in contexts such as "This is the standard consensus in the psychiatric profession – see this Scientific American article for more information"; "Scientific American attacks late biologist EO Wilson"; "pivot at Scientific American from real science to culture warring". It most often appears alongside New York Times, 1984, Anatoly Karlin.

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3
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3
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February 14, 2021
Last seen
December 22, 2022
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Statement on New York Times Article
February 14, 2021 · Original source
I was grateful for the interest, but still objected that I didn’t want my real name revealed to everyone. I think patients having too personal a relationship with their psychiatrist interferes with care. Patients being able to read my daily thoughts about everything – including medicine and psychiatry – would inevitably cause this sort of inappropriately personal relationship. This is the standard consensus in the psychiatric profession – see this Scientific American article for more information, and it was the advice I received from various past mentors and other psychiatrists I consulted about this. The article also made me concerned for my safety, since there are some scary stories about Internet-famous people whose identities get revealed getting stalked or attacked or something.
Inline links: this Scientific American article
Links For February
February 22, 2022 · Original source
Scientific American attacks late biologist EO Wilson, in a screed whose highlight is calling him problematic for describing ants as having “colonies”. This is part of a more general (and surprisingly fast) pivot at Scientific American from real science to culture warring; when even Eric Turkheimer thinks you’ve gotten too woke, you’ve gotten too woke.
Inline links: highlight, even Eric Turkheimer thinks you’ve gotten too woke
The Media Very Rarely Lies
December 22, 2022 · Original source
So Infowars often provides accurate data, but interprets it incorrectly, without necessary context. They’re not alone in this; it’s much like how the New York Times reports on real child EEG data but interprets it incorrectly, or how Scientific American reports real data on women in STEM but interprets it incorrectly, etc. This doesn’t mean these establishment papers are exactly as bad as Infowars; just that when they do err, it’s by committing a more venial version of the same sin Infowars commits.
Inline links: reports on real child EEG data but interprets it incorrectly, reports real data on women in STEM but interprets it incorrectly
Slime Mold Time Mold3 mentions across 3 issues

Slime Mold Time Mold is a recurring publication in the Astral Codex Ten archive, appearing 3 times across 3 issues between March 03, 2021 and October 30, 2025. The archive places it in contexts such as "Also from the Slime Mold Time Mold blog: a critique of the research on hypobaric hypoxia causing weight loss"; "Slime Mold Time Mold graciously hosted it on their blog"; "the Slime Mold Time Mold blog has been arguing". It most often appears alongside FDA, Matt Levine, Substack.

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3
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3
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March 03, 2021
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October 30, 2025
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Links For March
March 03, 2021 · Original source
32: Also from the Slime Mold Time Mold blog: a critique of the research on hypobaric hypoxia causing weight loss. I’d previously cited the research favorably in my post on why obesity negatively correlates with altitude; the SMTM authors have a different theory where it has to do with how many pollutants are in your water (the lower you are, the more runoff has made it into your water supply).
Inline links: a critique of the research on hypobaric hypoxia causing weight loss, my post on why obesity negatively correlates with altitude
Highlights From The Comments On Billionaire Replaceability
September 22, 2022 · Original source
I translated it a few months ago and Slime Mold Time Mold graciously hosted it on their blog, where I posted the english version and a short preface: https://slimemoldtimemold.com/2022/05/17/norway-the-once-and-future-georgist-kingdom/
Inline links: https://slimemoldtimemold.com/2022/05/17/norway-the-once-and-future-georgist-kingdom/
Links For October 2025
October 30, 2025 · Original source
33: For the past several years, the Slime Mold Time Mold blog has been arguing that rising obesity rates cannot be a simple matter of changing diets, and must be due to some chemical contaminant, plausible lithium. In 2022, Natalia Mendonca wrote a long and exhaustively-researched takedown of the hypothesis. Since then, I have been hoping the Slime Mold Time Mold team would respond to Natalia; after pestering them on Twitter, they have kindly written a response to at least my summary of Natalia’s argument. And Natalia responds to their response here, including an extra point challenging whether lithium levels have really risen over the timeframe being discussed.
Inline links: and must be due to some chemical contaminant, plausible lithium, wrote a long and exhaustively-researched takedown of the hypothesis, kindly written a response to at least my summary of Natalia’s argument, Natalia responds to their response here
Snopes3 mentions across 3 issues

Snopes is a recurring publication in the Astral Codex Ten archive, appearing 3 times across 3 issues between December 29, 2022 and August 09, 2023. The archive places it in contexts such as "Snopes investigates and contacts an Adobe Illustrator expert"; "I feel like that one showed up on one of the fact check sites, but I'm not seeing it on Snopes"; "Snopes says yes". It most often appears alongside NYT, Trump, Adobe Illustrator.

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Snopes
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3
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3
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December 29, 2022
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August 09, 2023
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Sorry, I Still Think I Am Right About The Media Very Rarely Lying
December 29, 2022 · Original source
Snopes investigates and contacts an Adobe Illustrator expert who says that this is true. Illustrator does show the PDF as containing several different layers and elements, but that’s because Illustrator tries to “guess” at what items in a document should be grouped together to make it easier for users to edit, and sometimes it gets it wrong.
Inline links: Snopes investigates
Highlights From The Comments On The Media Very Rarely Lying
January 11, 2023 · Original source
Did anyone in your family (as per your best guess) die of COVID vaccine side effects? I got 917 responses so far. On Kirsch’s original poll, the answers were 3.5% and 7.9%; on my survey, they were 6.8% and 0.9%. I think my higher rate of COVID deaths was because I carelessly changed “household” to “family”, which includes eg extended family. But why did I get so many fewer vaccine deaths? Looking at these people's other responses, they did not show a consistent tendencies to make things up or say outrageous things (except for one who listed their religion as “Satanist”). That having been said, they did have an atypical response pattern; most ACX readers are white male Westerners, but these people were 38% female, 38% nonwhite, and 88% non-American. Highest degree was 12% high school, 25% college grad, and 63% postgrad; IQs were listed as extremely high, just like everyone else who gives their IQs on my survey. Politics were significant for 25% Marxist (otherwise a rarity in my survey), but otherwise typical, and did not lean right-wing. They were slightly, but not overwhelmingly, more likely to distrust the media and dislike strong COVID responses than other survey respondents. Overall I don't feel like I learned too much from examining them. The survey is still open (take it now if you haven’t already!) and I'm hoping to get more data on this later. 5: Comments Pointing Out Very Clear Examples Of Media Lies Several people agreed with the wider point, but tried to find a counterexample - a media lie so explicit that nobody could ever deny it. Some people noted that the term “fake news”, when invented in 2016, was originally applied to a very specific kind of fake article, often from weird Macedonian article mills, that were saying utterly fake stuff in a way that even Infowars didn’t. Robert Stadler: This was what was interesting about the phenomenon of "fake news" during the 2016 election, before that term was successfully hijacked by Donald Trump to mean "news stories I don't like." There was a wave of what looked like news articles, spread largely via Facebook, that were entirely fictitious. The people writing those "articles" were not journalists and were not trying to be journalists. They made up the stories out of a mix of rumor and complete fabrications, either for political purposes or just as click-bait (this has never been entirely clear to me). It's unfortunate that the term "fake news" has been so thoroughly tainted, because the existence of those articles was genuinely noteworthy, and it's now harder to talk about them . . . I don't remember any myself (since it's been 6 years), but here's a study which has some specifics - http://web.stanford.edu/~gentzkow/research/fakenews.pdf After some searching, Benjamin Jest (writes As Fair A Name) was finally able to produce a specific example - Nancy Pelosi Hanged At Gitmo - which does, indeed, claim that leading US Democrat Nancy Pelosi was hanged at Guantanamo Bay for “treason and conspiracy” on December 27, 2022. It seems to suggest that the order was given by Donald Trump, who is still President, and that Hillary Clinton had already been executed in the same manner in April 2021. I will admit this is definitely an example of a “news source” making things up rather than just stretching the truth. The source, RealRawNews, claims on its About Page to be a “parody site”, but this outside article about them says they go back and forth between claiming to be a parody and claiming to be real. Some of their claims are more plausible than the Gitmo one - for example, that many Air Force pilots were resigning because of the COVID vaccine mandate - but equally false. They seem to go back and forth between “things that some conservatives might believe to be true” and “things that are obviously false but maybe gratify conservatives’ id”, adding or subtracting the “parody” label based on which one they’re doing at the time. It’s a fascinating business model, and I guess the term “fake news” fairly applies to it. Yug Gnirob writes: I don't know how to find them, but I definitely remember several completely fake articles about Trump during and immediately after the election. One of them was him citing "an ancient law" that prevented President Obama from doing... some liberal thing, I don't remember what. The most memorable one was immediately after the "Muslim Ban", where they claimed it had resulted in the arrest of a high-priority terrorist on day 1. I feel like that one showed up on one of the fact check sites, but I'm not seeing it on Snopes. I remember Stephen Colbert reporting the articles had been tracked down to a couple of Macedonian teens, who had discovered that writing fabricated pro-Trump articles was an easy way to make money. 6: Comments Making Other Claims Of Media Lies And Misdeeds — Beowulf888 on the LA Times and COVID: Well, there are media outlets that propagandize—but I think it boils down to if it bleeds it leads. Most corporate media outlets have the economic incentive to increase the readership by grabbing one's attention with scary headlines and articles. The perfect example of this phenomenon was in April 2020 when the LA Times interviewed an atmospheric chemist at Scripps. She made the claim that SARS2 virus particles in sewage were being carried back to land by sea spray. The reporters and editors uncritically relayed her comments as if she were an expert with the same credentialled expertise as a virologist or epidemiologist. There are numerous reasons why this would be very very low on the threat level even with what little we knew about the SARS2 virus at that time. This story was picked up by the media everywhere, and county health officials (either because there was public pressure to do so, or because they really believed her) shut down beaches up and down the coast of California. Did the LA Times and the news media really have any motivation to promote the closure of public beaches? I can't imagine they did. But they did have a scary headline that would promote readership and spread LA Times as a news source. Some weeks later the LA Times did a retraction, but by that time it had entered the popular imagination that beaches were a potential vector for COVID infection. I’m developing an allergy to the word “uncritically”. Being able to fact-check scientists is a rare skill - I’m not surprised nobody at the LA Times had it ready to deploy for this exact article. — Mike Mulligan writes: The pushback is largely because you are doing a false equivocation between the New York Times (who you hate and have a vendetta against) and Infowars (who you are pretending does basically the same thing as other outlets). And you know this, but on your own metric it won't count as a lie, because you just selectively misrepresented things. On the two articles in this series, I’ve included phrases like “This doesn’t mean these establishment papers are exactly as bad as Infowars; just that when they do err, it’s by committing a more venial version of the same sin Infowars commits” and “Again, my goal here isn’t to . . . say NYT is exactly as bad as Infowars” and tried to explain the exact way that two things can both commit a similar error without one being exactly as the other (Hitler and someone who shot a robber in self-defense both committed a similar action called “killing people”, but this doesn’t mean they both killed exactly the same people with exactly the same level of justification). Still, I got numerous comments getting angry at me for saying that I was calling NYT exactly as bad as Infowars, and saying I was being deceptive / lying because of this. This is why I’m so convinced people are erring on the side of too mistrustful - you can fill your articles with sentences about how you’re not claiming X, and people will still find ways to accuse you of lying because you said X. — Garrett writes: [The way Infowars covered Obama’s birth certificate] isn't any different from eg. mainstream media coverage of anything which involves firearms. They make (or promulgate) so many stupid technical errors I've stopped paying attention to them at all. They could have 1 person on staff who's responsibility is to understand firearms and run everything past them. But they don't. To what should I attribute this continual stream of errors? Is mainstream media coverage of firearms honestly flawed? Is it “reckless disregard for truth?” Is it a “lie of egregious sloppiness?” I think your answer to this question will depend more on how bad you want to accuse the mainstream media of being, relative to other forms of media, than on how you define these inherently slippery terms. — Jeremy Goldberg writes: There's an outright lie right now on the Washington Post homepage. A caption above a graph showing the inflation rate over time states, "Elevated prices coming down, annualized rate shows." The chart shows the current inflation rate is 7.1 percent, down from a high of around 9 percent. Elevated prices are not coming down at all. They just aren't elevating as fast anymore. I asked Jeremy to guess the probability that this was an honest mistake vs. malice. He said (thanks for giving a clear answer!) 60-40 in favor of malice. I think this is pretty high, given that I had to read Jeremy’s comment several times before I realized what the error was supposed to be, but I’ve already said I lean towards the “all the rest of you are extremely paranoid” side of things. — Jiro writes: I opened a thread on dsl: https://www.datasecretslox.com/index.php/topic,8430.0.html People brought up several examples there. You can read the thread. One of the more famous examples was saying that Kyle Rittenhouse crossed state lines with a weapon. There are also a bunch of cases where the media says there's "no evidence" for something that has evidence. Someone also brought up your own example of people "tested for drugs" when they were actually just asked if they used drugs. I would count that as an outright lie, even though you don't. I disagree that being asked if someone used drugs is a "test". Oh god, if saying there’s “no evidence” for something counts as a lie, then every media source in the country stands hopelessly condemned. I did write an article (here) on what the people who use that phrase might be thinking (if you can call it that). I agree the Rittenhouse situation was pretty egregious, though commenters bring up that since he went across state lines and had a weapon, it wasn’t unreasonable for people to assume he brought the weapon across state lines. Still, you wonder whether news sources would have repeated reasonable-sounding-but-didn’t-actually-check slanders about someone they liked. I do think this is a good antidote to some of the “mainstream media is actually very careful and fact-checks everything in their original reporting” takes in the comments section. — David Riceman says: How about Richard Landes's new book "Can the whole world be wrong?" about the many lies in the cognitive war against Israel (e.g. Muhammad Al Dura) See his discussion here for why he thinks this is a good example. — FractalCycle writes: I'm collecting examples from other people, will post ones that seem like real counterexamples as I get them. Here's one from recently: https://forum.effectivealtruism.org/posts/jsByfxvNA4x23stLY/a-letter-to-the-bulletin-of-atomic-scientists Yes, I included this issue with the Bulletin Of Atomic Scientists in my last links post, and they really do come out looking very bad here. See here for more discussion. — Hank Wilbon (writes Partial Magic) writes: I think the false Rolling Stone story a decade ago about the frat gang rape counts as the media explicitly lying, particularly as Rolling Stone is historically known for good fact checking (It is a plot point in the movie Almost Famous), however I think that counts as a "very rare" case and that Scott's claim is correct. I asked “Why? A woman said she had been raped, and Rolling Stone believed her. The woman was making it up, but Rolling Stone wasn't” and Deepa commented “Isn't it the job of a reporter to investigate? And be good at it?” I don’t want to pick on Deepa, but this is what happens when you have an overly expansive definition of “lie”! — TorontoLLB writes: The most straightforward counterexample I can think of is the NBC manipulation of the George Zimmerman 911 call. For example this: "The 9-1-1 operator then asked: "OK, and this guy, is he black, white or Hispanic?", and Zimmerman answered, "He looks black." was changed to: ""This guy looks like he's up to no good. He looks black." In another segment they combined completely separate parts of the call to create an audio clip that presents him as saying ""This guy looks like he's up to no good or he's on drugs or something. He's got his hand in his waistband, and he's a black male." There was other bits of reporting from the major networks that appear to be closer to fraud than selective amplification or choosing what not to report. Enough so that in Twitter threads asking people how they got "red-pilled" person after person refers to the media response to the incident. I haven’t looked into this and I can’t confirm or deny that this is true. I hope everyone finds at least one of these comments obviously fair, and at least another obviously unfair, in a way that encourages you to think more about these issues. 7: Other Comments — Paul writes: What's funny is the Weekly World News - the supermarket tabloid with headlines declaring Bigfoot had been found, and married to a local man's sister!; JFK was still alive, etc. - would pass muster under this analysis. They always had sources report stories to them. Those sources were just batshit crazy. Their strategy was simply not to question them skeptically to poke holes in their story as an ordinary reporter/person would, but to encourage them - "Wow, really, a wedding; what was Bigfoot wearing?" I don't mean to entirely dismiss the distinction you make. But in insisting that not a single story - not even one of the most egregious stories by the most irresponsible, disreputable, of barely-extant publications - is a lie, I think you try to prove too much. In doing so, you retreat so far that you defend only a weak and emasculated position, not any of the broader or more meaningful points implicated by your piece. Thanks for this - I always wondered what those tabloids thought they were doing, and for some reason this matches my model of human psychology better than my previous theories about “maybe they just made it up” - though I bet they do some of that too. — John Buridan writes: I used to have very low priors against conspiracy theories and so was willing to hear out the arguments at length and go back and forth for many weeks and months on a single theory. I would say my conspiracy theory expertise is in creationism and government conspiracies, especially ones involving either Catholicism or Judaism. And I'm okay on one's involving fluoridation, chemtrails, and GMOs etc. One of my housemates was a senior when I was a freshman in college gave me the Adobe illustrator birth certificate shtick, and we went through it together. We downloaded the birth certificate, uploaded it to Adobe illustrator, and saw the weird things. Then I went back to my day job where I was learning Adobe Illustrator. This is maybe 2 weeks later. And what do I find but that when I do this with any PDF, Illustrator renders it in the same janky way? Conspiracy dissolved. I grew up surrounded by people who believed conspiracy theories, although none of those people were my parents. And I have to say that the fact that so few people know other people who believe conspiracy theories kind of bothers me. It's like their epistemic immune system has never really been at risk of infection. If your mind hasn't been very sick at least sometimes, how can you be sure you've developed decent priors this time? Of course, this just all goes back to the dark matter beliefs of people in our outgroup. And the eternal question of where do good priors come from? How do some people's beliefs get so messed up? Thanks for this. I agree that a little bit of experience personally believing conspiracy theories, or knowing people who do, goes a long way. When I was a teenager, I flirted with a lot of pseudoarchaeology theories - think Graham Hancock, underwater pyramids, that kind of thing. I got better, but it left me with a visceral understanding of how people can genuinely believe weird things - not be lying about it, not be secretly making some kind of emotional point about how they hate the system, not be deliberately trying to be as sloppy as possible because you’re a bad person - just genuinely believe it because you tried to reason about it and failed. I think if you haven’t had that experience, then it’s really hard to understand people who have. 8: My Actual Thoughts I should probably try to say, as clearly as possible, what I think. It seems like all of these are different things: Reasoning well, and getting things right
Inline links: take it now if you haven’t already!, Robert Stadler, http://web.stanford.edu/~gentzkow/research/fakenews.pdf, Benjamin Jest, As Fair A Name, Nancy Pelosi Hanged At Gitmo, claims on its About Page, this outside article about them, writes, the LA Times and COVID, in April 2020 when the LA Times interviewed an atmospheric chemist at Scripps, writes, writes, writes, said, writes, https://www.datasecretslox.com/index.php/topic,8430.0.html, here, says, here, https://forum.effectivealtruism.org/posts/jsByfxvNA4x23stLY/a-letter-to-the-bulletin-of-atomic-scientists, here, Partial Magic, writes, writes, writes, writes
Links For August 2023
August 09, 2023 · Original source
13: Fact check: was Elvis Jewish? Snopes says yes, but I’m more convinced by this argument for no. [update: commenter TheGenealogian agrees no] 14: Is GPT-4 getting worse? This isn’t absurd; some people claim OpenAI has simplified the model to cut costs (though OpenAI denies this). Matei Zaharia argues yes, but I’m more convinced by the AI Snake Oil blog’s argument for no (h/t Stuart Ritchie). 15: Vox has a good piece about AI company Anthropic. I would quibble that they’re not the only safety-focused or EA-affiliated org, and we have yet to see how truly safety-focused or altruistic any AI company can be while continuing to be an AI company. But granting that it’s all a matter of degree, I agree the degree seems pretty high for them. And NYT also has an Anthropic article. 16: Eliezer bets $150,000 to $1,000 against UFOs being aliens, and gives the same argument I would - it’s unlikely that any civilization advanced enough to travel through space would still be primitive enough to use macroscopic, biologically-piloted craft that sometimes crash. 17: More nails in the coffin of growth mindset. “When examining the highest-quality evidence (6 studies, N = 13,571), the effect was nonsignificant: d = 0.02, 95% CI = [−0.06, 0.10]. We conclude that apparent effects of growth mindset interventions on academic achievement are likely attributable to inadequate study design, reporting flaws, and bias.” I think the older, very-high-effect-size studies were clearly terrible, but I’d still like to look further into the newer, small-but-significant-effect-size-that-makes-a-difference-across-large-groups studies and how they went wrong. 18: Previous work showed that after adjusting for selection bias, “what college you go to doesn’t matter” for average earnings. I was always skeptical of this - are all those rich people sending their kids to Ivies for no reason? Now Chetty, Deming, and Friedman find that: Attending an Ivy-Plus college instead of the average highly selective public flagship institution increases students’ chances of reaching the top 1% of the earnings distribution by 60%, nearly doubles their chances of attending an elite graduate school, and triples their chances of working at a prestigious firm. Ivy-Plus colleges have much smaller causal effects on average earnings, reconciling our findings with prior work. One of the authors, David Deming, has a Substack here where he explains the study in more depth. Like everyone else, this study also finds that rich people are using “holistic admissions” and the de-emphasis of standardized testing to gain an advantage: H/T Nate Silver, who writes: “Not sure how you can look at this data, ostensibly be interested in either meritocracy or equality, and want to move away from standardized tests. It's the subjective measures that are most slanted in favor of the rich kids.” Cf. Erik Hoel. 19: From @data_depot: “In 2002, 48% of Americans said "the govt is run by a few big interests looking out for themselves." 52% said "it is run for the benefit of all people." In 2020, 84% said the govt is run by a few big interests. Only 16% said it is run for the benefit of all people.” Source seems to be here, which reveals 2002 was a local peak in trust in government; maybe because of post-9/11 unity, but even 2000 was 34%, much better than our current 16%. My first instinct is to attribute this to a rise in vulgar Marxism, in the sense of everyone (even conservatives) now being trained to think in terms of an elite class screwing over everyone else (cf my review of Manufacturing Consent). But there was a previous low of 19% in 1994, which doesn’t seem to correspond to anything especially bad going on in the US, so I don’t know. 20: AskReddit: Medical professionals - have you ever had a patient so lacking in common sense you wondered how they made it so far? Linking this because there’s lots of evidence showing that education (as a proxy for intelligence?) is associated with increased life expectancy, and this thread gives you a visceral appreciation of why that might be. 21: The Fall Of [programming help site] Stack Overflow: Looks like a weak downward trend since 2021 I can’t explain, plus a strong downward trend since 11/2022 which must be from ChatGPT. In case you were wondering how AI was affecting programming! (update: probably false, see here, though see also here for evidence of smaller but real decline) 22: This month in culture war topics: London’s Pride parade featured a convicted kidnapper/torturer/rapist/sadist as a speaker, who advocated that anti-trans people should be “punch[ed] in the f**king face” ; the organizers say they stand by her.
Inline links: yes, this argument for no, agrees no, argues yes, argument for no, Stuart Ritchie, Anthropic, an Anthropic article, the same argument I would, More nails in the coffin of growth mindset, Previous work, Chetty, Deming, and Friedman, has a Substack here where he explains the study in more depth, https://substackcdn.com/image/fetch/$s_!VcFl!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F4f08bfe5-ab31-453a-896a-54ef385da7d2_706x900.jpeg, Nate Silver, Erik Hoel, @data_depot, https://substackcdn.com/image/fetch/$s_!S4g-!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff18fa4d5-9ba9-4b86-a058-46246bfc8a4f_536x611.png, here, my review of, have you ever had a patient so lacking in common sense you wondered how they made it so far?, The Fall Of [programming help site] Stack Overflow, https://substackcdn.com/image/fetch/$s_!E7XK!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff8ba7c05-7dbb-4318-9da2-87b00d738ed7_649x518.png, probably false, see here, here, featured, stand by her
Swedish study3 mentions across 3 issues

Swedish study is a recurring publication in the Astral Codex Ten archive, appearing 3 times across 3 issues between March 10, 2023 and July 03, 2025. The archive places it in contexts such as "Please stop citing that Swedish study"; "The Swedish study said in the abstract that it found women tended to marry down in terms of class"; "the Swedish study he cites uses an extended twin-family design". It most often appears alongside Cremieux, England, Marginal Revolution.

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Swedish study
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Links For March 2023
March 10, 2023 · Original source
23: Please stop citing that Swedish study purporting to show that IQ stops mattering after the 90th percentile or whatever! Emil Kierkegaard has a summary explaining the possible statistical missteps, and Cremieux has more information here and (buried in the middle) here.
Inline links: Emil Kierkegaard has a summary, here, here
Hypergamy: Much More Than You Wanted To Know
May 24, 2023 · Original source
Class was more complicated7. The Swedish study said in the abstract that it found women tended to marry down in terms of class, but I had trouble finding that effect in the data, and it looked pretty small if it existed. The Norwegian study said they tended to marry up, but with the same caveat. The two American and one English study were explicit about very close class matching, sometimes implausibly close.
Inline links: 7
Highlights From The Comments On Missing Heritability
July 03, 2025 · Original source
First, his claim that extended pedigrees drop the EEA is not quite correct. For example, the Swedish study he cites uses an extended twin-family design which assumes the EEA (see the Supplemental Material).
San Fransicko2 mentions across 2 issues

San Fransicko is a recurring publication in the Astral Codex Ten archive, appearing 2 times across 2 issues between June 23, 2022 and June 29, 2022. The archive places it in contexts such as "San Fransicko doesn’t give a citation for it"; "San Fransicko does a good job skewering orthodoxies on some important topics"; "In my review of San Fransicko". It most often appears alongside Black Lives Matter, Chicago, China.

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San Fransicko
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Book Review: San Fransicko
June 23, 2022 · Original source
Last month I discussed the platforms of twenty-six candidates for California governor. One candidate, author and activist Michael Shellenberger, objected to my characterization of him, so I read his book San Fransicko to learn more and decide whether I owed him an apology.
Inline links: I discussed the platforms of, San Fransicko
San Fransicko is subtitled “Why Progressives Ruin Cities”. It builds off the kind of stories familiar to most Bay Area residents:
This is a good introduction to San Fransicko. It adequately telegraphs what you’ll be getting in the rest of the book: scenes of devastating human misery and urban decay, little-known tidbits from California history, and very precise statistics.
What Caused The 2020 Homicide Spike?
June 29, 2022 · Original source
In my review of San Fransicko, I mentioned that it was hard to separate the effect of San Francisco’s local policies from the general 2020 spike in homicides, which I attributed to the Black Lives Matter protests and subsequent police pullback.
Inline links: my review of
School2 mentions across 2 issues

School is a recurring publication in the Astral Codex Ten archive, appearing 2 times across 2 issues between October 03, 2025 and October 17, 2025. The archive places it in contexts such as "finalists, in order of appearance: 2: School"; "School , by Dylan Kane". It most often appears alongside Dating Men In The Bay Area, Metropolitan Museum of Art, Mice, Mechanisms, and Dementia.

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School
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Vote In The 2025 Non-Book Review Contest
October 03, 2025 · Original source
1: Alpha School 2: School 3: Mice, Mechanisms, and Dementia 4: Islamic Geometric Patterns in the Metropolitan Museum of Art 5: The Astral Codex Tex Commentariat 6: Joan of Arc 7: My Father’s Instant Mashed Potatoes 8: Dating Men In The Bay Area 9: Ollantay 10: Participation In Phase I Clinical Pharmaceutical Research 11: The Synaptic Plasticity And Memory Hypothesis 12: Project Xanadu - The Internet That Might Have Been 13: The Russo-Ukrainian War
Inline links: Alpha School, School, Mice, Mechanisms, and Dementia, Islamic Geometric Patterns in the Metropolitan Museum of Art, The Astral Codex Tex Commentariat, Joan of Arc, My Father’s Instant Mashed Potatoes, Dating Men In The Bay Area, Ollantay, Participation In Phase I Clinical Pharmaceutical Research, The Synaptic Plasticity And Memory Hypothesis, Project Xanadu - The Internet That Might Have Been, The Russo-Ukrainian War
Non-Book Review Contest 2025 Winners
October 17, 2025 · Original source
2nd: Alpha School, by Edward Nevraumont. Edward also wrote one of last year’s finalists (Silver Age Marvel Comics)1. Now that he’s no longer anonymous, he’s going to write a post on his blog responding to the review comments (712 of them!), as well as a follow-up post on what he has learned about Alpha in the six months since he submitted his review (including the Spring and Fall MAP results for his kids). Here is the landing page with more details for ACX readers who are interested.
Inline links: Alpha School, Silver Age Marvel Comics, 1, landing page
School, by Dylan Kane. Dylan is a 7th grade math teacher in Leadville, Colorado. He writes a Substack about teaching called Five Twelve Thirteen.
Inline links: School, Five Twelve Thirteen
Bishop’s Castle, by Sean Carter. Sean just graduated from CU Boulder, where he studied CS and applied math. He is now freelancing for a year before he starts grad school. He will attend Inkhaven this November. His great loves in life are creation, cats, and compasscraft. He blogs at collisteru.net and hopes to build his own castle someday.
Inline links: Bishop’s Castle, collisteru.net
ScienceDirect2 mentions across 2 issues

ScienceDirect is a recurring publication in the Astral Codex Ten archive, appearing 2 times across 2 issues between February 02, 2023 and June 26, 2025. The archive places it in contexts such as "according to https://www.sciencedirect.com/science/article/pii/S1674927821001490"; "Sources: Generation Scotland: https://www.sciencedirect.com/science/article/pii/S0160289614000178?via%3Dihub". It most often appears alongside Act Blue, ACXers, Aftab.

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ScienceDirect
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Mostly Skeptical Thoughts On The Chatbot Propaganda Apocalypse
February 02, 2023 · Original source
On the 'disinformation vs. establishment bot' question, check out bots interacting with climate change: 83.1% of bot tweets support activism, 16.9% skepticism according to https://www.sciencedirect.com/science/article/pii/S1674927821001490 .
Inline links: https://www.sciencedirect.com/science/article/pii/S1674927821001490
Missing Heritability: Much More Than You Wanted To Know
June 26, 2025 · Original source
Are these two cuties monozygotic or dizygotic? Are you sure? (answer) 2: Fraternal And Identical Twins Have Equally Concordant Uterine Environments: Fraternal twins have different sacs in the uterus and use different placentas. Most identical twins share a placenta, and some share an amniotic sac. If trait similarity is caused by sharing a placenta or sac (maybe because the placenta is defective, the fetal brain is starved of nutrients, and so the person has a lower IQ when they grow up), twin studies would falsely read this identical-fraternal difference as genetic. Luckily this is easy to study; not all identical twins share a placenta or sac, so you can cleanly separate the effect of uterine environment from genetics. If you measure enough traits, you can find small deviations in some, but it’s not clear whether this is just multiple testing, and in any case the deviations are small. The best studies suggest this chips off somewhere between 0 - 3% from heritability estimates9. 3: There is little assortative mating: We discussed this one above in the earlier section on GWAS - smart/pretty/kind/whatever people tend to marry other smart/pretty/kind/whatever people. Why would this bias twin study results? Identical twins share 100% of their genes. Fraternal twins ought to share 50% of their genes - but they get half their genes from their mother, and half from their father. In the degenerate case where the mother and father have exactly the same genes (“would you have sex with your clone?”) even fraternal twins will be extremely similar (although not quite identical, since they’ll get different alleles from each clone). In the more plausible case where mothers and fathers are just a little more alike than chance (eg because smart people tend to marry other smart people), fraternal twins will share a genetic tendency towards a trait somewhat more than their 50% shared genes suggest. Since this makes fraternal twin pairs more (genetically) like identical twin pairs, and twin studies assess heritability as the difference in fraternal-identical-twin-pair concordance, this bias would make twin studies underestimate heritability. But this is the opposite of what you would need to “discredit” twin studies - if this bias is true, then everything is more genetic than twin studies think. And unlike the previous two biases, this one seems real and important, so much so that when you adjust for it, the heritability of educational attainment rises from ~40% to ~50%. I’m only mentioning this one here because some anti-hereditarians argue that you can’t trust twin studies because of assortative mating, without mentioning that this can only bias them down. 4: Population stratification: This is often large and worth worrying about, but it applies to identical and fraternal twin pairs equally, and doesn’t bias twin study heritability estimates much (though it might shift the balance between shared and non-shared environment). See eg the sentence around footnote 30 here. 5: Non-additive / “interaction” effects: These are theoretically interesting, but all research thus far has found they are minimal (1, 2). Some experts think this may miss rarer or harder-to-find interactions; we’ll return to this later. 6: “Genetic nurture”, parent-to-child Mentioned above: if there is a gene for reading books to kids, and reading books raises IQ, it will look like a “gene for IQ”. This isn’t as relevant to twin study estimates of heritability, since both identical twins and fraternal twins are equally related to their parents, and any trait caused by genetic nurture wouldn’t differ between them (and therefore would not falsely appear heritable in this design). Rather, they would appear as shared environment. 7: “Genetic nurture”, sibling-to-sibling That is, suppose your sibling’s traits influence your own development. For example, suppose your sibling has a gene that makes them sabotage your schoolwork, causing you to fail and drop out of school early. An identical twin would share this gene with their sibling more often than a fraternal twin, making it look like a “gene for doing badly at school” (since the people who have it do worse at school than those who don’t). Why are we even talking about this? Do we really think it’s a big part of the variance in behavioral traits? Challenging twin study heritability estimates through this route requires inhabiting a weird no-man’s-land where otherwise-invisible genetic and environmental pathways suddenly flare up when you say the magic words “it was done by a sibling”. For example, this requires a strong effect of shared environment - that is, your educational attainment has to depend on whether you’re being sabotaged or not. But in general, shared environmental effects are weak. And it requires a strong effect of genes - that is, this mechanism only works if your sibling’s tendency to sabotage you is highly genetically determined. But we’re deploying this claim to deny that traits like IQ or educational attainment are highly genetically determined. So to get much out of this, the tendency to sabotage siblings would have to be more genetic than other behavioral traits! The reason this convoluted possibility gets brought up so often is that, unlike the more plausible parent-to-child genetic nurture, twin studies can’t rule it out. So if you really want to deny twin studies, this is one of your best bets. But when investigated, this has effects indistinguishable from zero. I’ve been a bit mean in this whole section, because people really like to dismiss twin studies as “Oh, don’t you know, those depend on assumptions, I bet you never considered that assumptions might be wrong”, and then Gish Gallop you with different assumptions until you give up. But scientists have actually done a lot of really good work checking the assumptions and they mostly hold. An alternative way of validating twin studies (brought up by Noah Carl in this article) is to check them against their close cousins, adoption studies and pedigree studies. Pedigree studies investigate large family trees, and check how trait similarity decreases with genetic distance. They avoid twin specific biases (like different treatment of fraternal vs. identical twin pairs, or different prenatal environments), while adding others like assortative mating. Here are the heritabilities of IQ and EA found in pedigree studies10 (see footnote for sources and caveats, and see also here and here for somewhat similar designs): Adoption studies investigate whether adoptees’ traits are more correlated with their adoptive or biological parents. They avoid a large swathe of biases, at the risk of introducing new adoption-related biases of their own (like the possibility that agencies deliberately place adoptive children with parents who are culturally or behaviorally similar, or the possibility that adoptees were adopted late enough to still get some shared environment from their biological parents). Here are the findings of some of the largest and best11: Both straightforwardly confirmed the larger heritability numbers found in twin studies. I would add the evidence from some less formal “adoption studies”12. During residency, I spent a few months working in a child psychiatric hospital for the worst of the worst - kids who committed murder or rape or something before age 18. Many of these children had similar stories: they were taken from their parents just after birth because the parents were criminals/drug addicts/in jail/abusing them. Then they were adopted out to some extremely nice Christian family whose church told them that God wanted them to help poor little children in need. Then they promptly proceeded to commit crime / get addicted to drugs / go to jail / abuse people, all while those families’ biological children were goody-goodies who never got so much as a school detention. When I met with the families, they would always be surprised that things had gone so badly, insisting that they’d raised them exactly like their own son/daughter and taught them good Christian morals. I had to resist the urge to shove a pile of twin studies in their face. This has left me convinced that behavioral traits are highly heritable to a level that it would be hard for any study to contradict. Ultimate source here. Although the study is confusing about this, I think it’s trying to say that almost 90% of subjects were adopted before age 2. But I don’t think studies do contradict this. Given the degree to which their assumptions have been validated, and the level of confirmation from pedigree and adoption studies, I think they have earned a presumption of accuracy. Doubting the twin studies doesn’t seem like a promising route to reconciling the twin-vs-Sib-Regression/RDR discrepancy. What’s Going On? (Part 2: Is Something Wrong With Sib-Regression And RDR?) Sib-Regression is a clever way of avoiding most biases. Its independent variable - the degree to which some sibling pairs end up with slightly more shared genes than others - is even more random and exogenous than the difference between fraternal and identical twins. It can sometimes have biases related to assortative mating (which would falsely push heritability down), but otherwise it’s pretty good. RDR has many of the same advantages, and allows more diverse relationships and so larger sample sizes. It’s hard to think of ways these methods could be wildly off. There is one caveat: although RDR includes most of the rare and structural variants missed by GWAS, in theory it can miss certain ultra-rare variants which are so uncommon that they aren’t shared between some of the relative pairs used in RDR. De novo variants that occurred during the subject’s own conception would be in this category, if the subject didn’t have children or didn’t pass on that gene13. This seems like a pretty small subcategory of genetic variation, and I wouldn’t normally expect that much of importance to be hiding here, but maybe it’s more important than it seems. RDR also doesn’t include much variance caused by statistical interactions between genes. Although we said above that these are usually found to be insignificant, they might be more important in a trait like intelligence that has been under recent evolutionary selection that lops off easily-detectable sources of variance and leaves only the weird obscure ones behind. There’s limited ability for classical Mendelian dominance to affect common variants, but more complicated genetic interactions might still prove important. Overall these are strong methods, and their failure to converge is troubling. If forced to explain them away, we might tell a story like: So far, there is only one RDR study and a few Sib-Regression studies, so we should wait for more data before updating too hard.
Inline links: answer, The best studies, 9, seems real and important, here, 1, 2, when investigated, in this article, 10, here, here, https://substackcdn.com/image/fetch/$s_!b3LF!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc094f9c0-4c71-48cf-89dc-615498d94812_483x51.png, 11, https://substackcdn.com/image/fetch/$s_!XFWU!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F85f433e5-d141-47b7-8dc5-2271925032e9_483x102.png, 12, https://x.com/cremieuxrecueil/status/1935731422205010135, here, 13
Generation Scotland: https://www.sciencedirect.com/science/article/pii/S0160289614000178?via%3Dihub . See also https://www.nature.com/articles/s41380-017-0005-1.pdf, page 2353, "The genetic results . . . are similar to the heritability estimates derived using the traditional pedigree study design in the same data set, which found a heritability estimate of 54% for g and 41% for education."
Inline links: https://www.sciencedirect.com/science/article/pii/S0160289614000178?via%3Dihub, https://www.nature.com/articles/s41380-017-0005-1.pdf
Minnesota transracial: https://sci-hub.st/https://www.sciencedirect.com/science/article/abs/pii/016028969390018Z, page 547, "adoptive fathers' and mothers' correlations with their biological offspring at Time 1 were .25 and .40; with their trans-racially adopted children, .08 and .14 (h 2 = .34 ± .29 and .52 --- .26, respectively). At Time 2, the corresponding correlations were .13 and .45 for biological children; .21 and .21 for adoptees (h 2 = - . 16 ± .29 and .48 ± .25, respectively). o3 advised me to take the maternal correlation since there were too few fathers to give meaningful results (as indicated by the negative heritability at time 2). Because this required a design choice (throwing out the paternal data) I’ve listed it in gray as less trustworthy than some of the other estimates. Reversing this design choice would lower the estimate.
Inline links: https://sci-hub.st/https://www.sciencedirect.com/science/article/abs/pii/016028969390018Z
Secrets Of The Great Families2 mentions across 2 issues

Secrets Of The Great Families is a recurring publication in the Astral Codex Ten archive, appearing 2 times across 2 issues between November 18, 2021 and October 01, 2025. The archive places it in contexts such as "Thanks to everyone who commented on last week’s post Secrets Of The Great Families"; "cf. Secrets of the Great Families". It most often appears alongside Charles Darwin, YouTube, 1910s Portugal.

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November 18, 2021
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October 01, 2025
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Highlights From The Comments On Great Families
November 18, 2021 · Original source
Thanks to everyone who commented on last week’s post Secrets Of The Great Families. Some highlights:
Inline links: Secrets Of The Great Families
The Fatima Sun Miracle: Much More Than You Wanted To Know
October 01, 2025 · Original source
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: 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
Secretum Secretorum2 mentions across 2 issues

Secretum Secretorum is a recurring publication in the Astral Codex Ten archive, appearing 2 times across 2 issues between June 23, 2021 and December 28, 2021. The archive places it in contexts such as "courtesy of the Secretum Secretorum Substack"; "He also writes under the name Roger's Bacon at Secretum Secretorum". It most often appears alongside Arizona, Australia, FDA.

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2
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2
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June 23, 2021
Last seen
December 28, 2021
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Links For June
June 23, 2021 · Original source
2: “The cult deficit” is the theory that we don’t have as many cults as we used to and this says something important about our society. Here’s some data, courtesy of the Secretum Secretorum Substack:
Inline links: Secretum Secretorum
ACX Grants Results
December 28, 2021 · Original source
Erik Mohlhenrich, $6,000, for work on Seeds of Science, a scientific journal which publishes articles that are nontraditional in content or style with peer review conducted through voting and commenting by a community of "gardeners" (free to join, visit this page for details). Mohlhenrich has been exploring the role of amateurs in science, most recently in this journal article (non-conflict of interest note: the article mentions the SSC Surveys as an example of good amateur science, but this grant decision was made primarily by an outside reviewer). He also writes under the name Roger's Bacon at Secretum Secretorum.
Inline links: Seeds of Science, this page, this journal article, Roger's Bacon, Secretum Secretorum
Seven Secular Sermons2 mentions across 2 issues

Seven Secular Sermons is a recurring publication in the Astral Codex Ten archive, appearing 2 times across 2 issues between September 15, 2023 and July 16, 2024. The archive places it in contexts such as "Daniel writes the Seven Secular Sermons , a huge rationalist poetry/meditation art project"; "author of the Seven Secular Sermons". It most often appears alongside Daniel Böttger, On the Marble Cliffs, @campeters4.

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2
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September 15, 2023
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July 16, 2024
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Book Review Contest 2023 Winners
September 15, 2023 · Original source
2nd: On the Marble Cliffs, reviewed by Daniel Böttger. Daniel writes the Seven Secular Sermons, a huge rationalist poetry/meditation art project, and has a blog post pitching it to ACX readers in particular.
Inline links: On the Marble Cliffs, Seven Secular Sermons, a blog post pitching it to ACX readers in particular
Consciousness As Recursive Reflections
July 16, 2024 · Original source
Don’t worry, Scott hasn’t gone megalomaniacal. My name is Daniel Böttger. A few of you know me as the author of the Seven Secular Sermons. Most of you have seen my review of On the Marble Cliffs, which won me the right to pitch Scott this guest post.
Inline links: Seven Secular Sermons, review of
SF Chronicle2 mentions across 2 issues

SF Chronicle is a recurring publication in the Astral Codex Ten archive, appearing 2 times across 2 issues between June 23, 2022 and September 11, 2023. The archive places it in contexts such as "Shellenberger’s source for 4000 homeless people having these issues is this SF Chronicle article"; "https://www.sfchronicle.com/bayarea/article/San-Bruno-rejected-plan-for-425-homes-Now-14698779.php". It most often appears alongside BART, Bay Area, Bay Area Rapid Transit.

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SF Chronicle
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2
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June 23, 2022
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September 11, 2023
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Book Review: San Fransicko
June 23, 2022 · Original source
For some reason this top 20 table fails to list Washington DC, which should be just before Atlanta. SF doesn’t make the top 20, although its neighbor Oakland does. Probably most murder variation in US cities is explained by percent African-American and maybe percent Borderer; with relatively few people in these groups SF was never in the running. I’m not sure if some abstracted version of the city with all demographic factors adjusted away would have an unusually high murder rate, but at that point it would be pretty distant from any interesting real-world question. You can see the leaderboard for other types of crime here; San Francisco is often in the top ten, but never the top three. As far as I can tell, San Francisco has seen a big spike in car breakins over the past few years, with no clear trend for other property crime, violent crime, or homicides. It’s not an outlier among American cities in any kind of crime. Conclusion of this section: San Fransicko’s specific claims are basically correct, but suggest a medium-term rise in SF crime which is mostly contradicted by the data. These show stable-to-decreasing murder, stable-to-decreasing violent and property crimes other than car break-ins, and large rises in car break-ins only. The data also show stable-to-decreasing shoplifting, but I’m not sure how much to trust them vs. common sense. Honestly, I’m pretty confused here and not sure what to think. Claim 7: Jim Jones (Of Kool-Aid Cult Fame) Used To Be The Chairman Of SF’s Housing Authority Okay, this isn’t really a statistical claim that I can research different perspectives on. Still, it’s so wacky that I couldn’t resist mentioning it in this review. Jim Jones, famous for killing everyone in his Guyana-based Jonestown cult with poisoned Kool-Aid, used to be the SF government’s top guy on homelessness. Shellenberger writes: Jones married and moved first to Northern California and then to San Francisco with his wife to start a church. He called it the People’s Temple. Jones believed he was the leader of a socialist revolution. He warned of nuclear war and claimed black people would be put in concentration camps. He became a hugely charismatic preacher among African Americans, the disaffiliated poor, and young transplants to the city looking for community. Scenes from the era show a remarkably large and diverse congregation smiling and singing. The People’s Temple grew and provided services. Jones cultivated two progressive San Francisco politicians, George Moscone and Willie Brown, and mobilized people to volunteer for their campaigns […] His son and a San Francisco historian believe he stole the mayoral election for Moscone in 1975. Historian David Talbot, founder of the progressive website Salon, points to evidence that Jones committed sufficient voter fraud to account for Moscone’s narrow 4,443-vote margin of victory. “We loaded up all thirteen of our buses with maybe seventy people on each bus, and we had those buses rolling nonstop up and down the coast into San Francisco the day before the election,” said Jones Jr. “Could we have been the force that tipped the election to Moscone? Absolutely! Slam dunk. He only won by four thousand votes.” When federal investigators looked into fraud claims three years later, they discovered that all of the records were missing from the city of San Francisco’s registrar of voters. Jones also boasted of providing Moscone with black women from his congregation for sex. One time Moscone, drunk and “accompanied by a young black woman whom the politician had kindly agreed to drive home,” crashed into another car. Another time, Moscone and Willie Brown “were with a black woman in an alley at two in the morning at some restaurant in North Beach,” said a local bar owner. State legislator “John Burton was part of that gang too. They were all using marijuana and cocaine.” Said Jones Jr., Moscone would “always be there at temple parties with a cocktail in his hand and doing some ass grabbing.” A Temple member overheard Jones speaking to Moscone the day after one of those parties saying, “I want to let you know that the young lady you went off with is underage,” adding, “Now don’t worry, Mayor, we’ll take care of you—because we know that you’ll take care of us.” Afterward, Moscone made Jones the chairman of the powerful San Francisco Housing Commission. Jones cultivated progressives with money and favors. He made large donations to the ACLU, the NAACP, and United Farm Workers. Jones and Moscone met privately with vice presidential candidate Walter Mondale on a campaign plane a few days before the 1976 presidential election, and Mondale praised People’s Temple shortly afterward. Jones met with First Lady Rosalynn Carter several times. Governor Jerry Brown praised Jones. Glide Memorial Church’s Rev. Cecil Williams loved Jones. There is a photo from 1977 of a smiling Williams awarding Jones the church’s “Martin Luther King, Jr. Award.” Jones used his perch as chairman of the Housing Commission to fight for housing for the poor. He tried to use eminent domain to acquire the International Hotel, a single resident occupancy hotel. After a court sided with the hotel’s owner, Jones mobilized seven thousand protesters to picket it. By mid-January 1977, the situation had become heated. There were rumors that protesters inside the building were armed with guns and Molotov cocktails. Jones lost the legal battle in 1977, and the tenants were evicted. But the drama was a publicity victory for Jones, which burnished his image as a white savior. A conservative member of the Board of Supervisors who was defeated in the mayoral election by Moscone accused the new mayor, the San Francisco Chronicle, and the rest of the city establishment of being blind to Jones’s extremism. “There’s no radical plot in San Francisco,” insisted Moscone, in response. “There’s no one I’ve appointed to any city position whom I regard as radical or extremist.” Willie Brown, a powerful state legislator from 1964 to 1995 before becoming mayor in 1996, “seemed oblivious to Jones’ hucksterism and demagoguery,” notes a historian. Brown was master of ceremonies at a dinner for Jones in the fall of 1976 attended by an adulatory crowd of the rich and powerful, including Governor Jerry Brown. “Let me present to you a combination of Martin King, Angela Davis, Albert Einstein . . . Chairman Mao,” he said, to loud applause. And yet Jones was contemptuous of Brown even as Brown did Jones more and more favors. Jones mocked Brown for his designer suits, sports cars, and women. Once, while Brown was addressing the congregation and Jones was seated onstage behind him, Jones flipped his middle finger up to mock him. San Francisco’s establishment stood by Jones even after a California magazine, New West, owned by Rupert Murdoch, published an exposé of Jones’s beatings of Temple members and financial abuses in August 1977. The article was written by a San Francisco Chronicle reporter and was meant for the Chronicle to publish. But the newspaper killed the story because it didn’t want to alienate Jones, whom it viewed as central to its plans to expand the Chronicle’s circulation in the heavily African American Fillmore District. Jones also managed to avoid investigation and prosecution in part by getting the district attorney to hire as deputy district attorney Jones’s longtime attorney and confidant. Progressives defended Jones against the New West article. At a rally in the summer of 1977, Willie Brown said, “When somebody like Jim Jones comes on the scene, that absolutely scares the hell out of most everybody occupying positions of power in the system.” Angela Davis sent a radio message broadcast over the cult’s compound, Jonestown, in Guyana. “I know you’re in a very difficult situation right now,” she said, “and there is a very profound conspiracy designed to destroy the contributions which you have made to the struggle.” After visiting Jonestown, the attorney to the Black Panthers said, “I have seen paradise.” Harvey Milk, too, was tarnished by his association with Jones. In the fall of 1977, Milk wrote to President Carter’s secretary of health, education, and welfare requesting that Social Security checks be sent to elderly Temple members in Guyana. “People’s Temple,” wrote Milk, has “established a beautiful retirement community in Guyana.” In truth, the cult was disintegrating. Jones separated families and lovers, pitted relatives against each other, and forced neighbors to inform on each other. Jones sent people who violated the rules to solitary confinement in “the Box,” an underground cubicle where people were held as prisoners for days on end. Others were drugged. Progressives who had spent thirty years fighting to close prisons and mental hospitals found themselves praising a man who had reproduced their worst practices. In November 1978 a Bay Area congressman flew to Guyana to investigate human rights violations at Jonestown with NBC News. Jones gave the delegation a formal reception at Jonestown. A Temple member surreptitiously passed a note to one of the delegation members, saying he and another member wanted to escape. They fled the next day after a Temple member tried to stab the congressman. Jones didn’t prevent them from leaving but then sent gunmen to fire machine guns at the delegation at the airport, killing the congressman and four others. A few hours later, 907 inhabitants of Jonestown drank Flavor Aid laced with cyanide and died. Two-thirds of the victims were African American and one-third were children. Jones had told them that if they didn’t drink it they would be killed by invading soldiers from a shadowy global military conspiracy intent on imposing fascism and torturing children. As people started crying in grief, Jones scolded them. “Stop these hysterics,” he said. “This is not the way for people who are socialists or communists to die.” Jones’s wife protested the murder of children and had to be forcibly restrained. “We didn’t commit suicide,” said Jones in a tape recording, “we committed an act of revolutionary suicide protesting the conditions of an inhumane world.” Few were as stained by Jonestown as Willie Brown and George Moscone. “Even as the bloated bodies of the dead were removed from the jungle and the wounded were airlifted by the U.S. Air Force to hospitals in the United States,” wrote a historian, “Brown said he had ‘no regrets’ over his association with Jones.” They repeatedly disavowed responsibility. Said Moscone, “it’s clear that if there was a sinister plan, then we were taken in. But I’m not taking any responsibility. It’s not mine to shoulder.” This is Shellenberger at his best: telling us crazy stories from the recesses of San Francisco history, maybe kind of spinning the narration in a way that makes all progressives seem guilty by association, but with the tale itself so gripping that it’s hard to be mad. And Jones wasn’t alone. This was the golden age of San Francisco cults, when (Shellenberger tells us) “more than half of all high school students in the San Francisco Bay Area reported at least one recruiting attempt by a cult member, and 40 percent reported at least three contacts.” This chapter of SF history came to an end in 1978, when Dan White, who had just resigned from San Francisco’s Board Of Supervisors (ie City Council) entered City Hall through a window and assassinated Mayor Moscone and fellow Supervisor Harvey Milk, then successfully got charges reduced to manslaughter through a legal manuever that has gone down in history as “the Twinkie Defense” (realistically the defense was that he was depressed, but reporters seized on a comment that implied it was because he ate too many Twinkies). Everything about 1970s San Francisco was like this. With the Mayor and his right-hand-man both dead, San Francisco leadership ended up in the hands of previously second-tier politician Dianne Feinstein. Feinstein was what passed for a moderate in 1970s SF (which meant she had been targeted for assassination by various left-wing groups - she survived when a bomb left on her windowsill failed to explode). In Shellenberger’s telling, she managed to clean up some of the mess and restore a semblance of normalcy. San Francisco never forgave her. Moscone - voting fraud committer, underage sex enjoyer, and Jim Jones’ bff - is beloved as a martyr in today’s SF, but (the book points out) Feinstein is so loathed that in 2021 the Board of Education voted to rename Dianne Feinstein Elementary School. The Moscone Center is 2 million square feet and can fit about 10,000 people. Not to be confused with the Moscone Recreation Center, Moscone Station, or Moscone Elementary School. Meanwhile, all Dianne Feinstein got was one lousy elementary school and the Tithonus package of eternal life without eternal youth. Claim 8: The Intolerant Left Shuts Down Debate On These Issues Another one that’s probably hard to do a randomized controlled trial on. You could probably predict that this one was coming - it’s a necessary narrative beat in this genre of book. I think this beat is good. My impression is that people who aren’t themselves public figures disagreeing with left-wing ideas still don’t understand how scary it is and how much hate you get. Maybe now that 2/3s of every political essay written over the past five years is about this topic, people will finally get it through their thick skulls that it exists and is bad. I would also note that “traumatizing the sorts of people who write popular books about politics, in a such a way that they feel compelled as a sort of self-therapy to write page after page telling readers how angry they should be at you and your whole coalition” isn’t great political praxis. I would like people to figure this out and stop doing it. Anyway, Shellenberger is doing his part in this effort: In 2001, the San Francisco Coalition on Homelessness wheat-pasted posters of a fake front-page San Francisco Chronicle across town. Just beneath the masthead a large headline read “Fuck the Homeless!” right above a picture of San Francisco mayor Willie Brown laughing. Below his photo was the headline “Save the Tourists.” Progressives level the same charges at people thirty years later. “Because of some of the stuff I say,” said a community activist in Seattle’s historically black Capitol Hill neighborhood, “people say, ‘Oh, she’s not for them.’ But I have a heart for homeless and mentally ill. Most of my family works with the mentally ill.” Noted a Chronicle journalist in 2017, “Inevitably, homeless advocates and others will say, ‘You’re not compassionate,’” in response to stories about homeless encampments. “They called me a racist,” said Tom. “They accused me, a guy who used to be homeless, of demonizing the homeless, because I’m asking for accountability.” I found myself similarly accused. In 2019, after I published an article for Forbes about the homeless crisis, a progressive homeless activist accused me on Twitter of having written my article to “make money off of a fear tactic” of “fueling hatred [and] even increasing violence against homeless people.” After I asked the former San Francisco supervisor for the Tenderloin neighborhood, former mayoral candidate Jane Kim, how such a progressive city ended up with so much suffering, she said, “My concern, Michael, just to be very honest, is that when that kind of messaging goes out, violence against people who are unhoused goes up.” […] I soon discovered in my research that I was hardly the first person that progressive elected officials and homelessness advocates had accused of fomenting violence against unhoused people. Many others had been criticized for far worse over the years, including San Francisco’s highest elected officials. “The criticism [by progressive homelessness advocates] was heavy, political and personal,” wrote former mayor Willie Brown in his 2008 memoir. “People accused me of abandoning the problem when I was working daily to try and get a solution going. It was brutal. . . . I had become demonized, and my own efforts belittled.” It is notable that the result of such personal attacks is to frighten off people seeking to change, and perhaps improve, the situation. “The problem” of homelessness, concluded Mayor Brown within nine months of entering office, “may not be solvable.” And [Quoting Chris Rufo]. “The chief of psychiatry in a public hospital system in one of the largest California cities told me, ‘I know for a fact, and all of my colleagues know, that what we actually need to deal with the problem in the biggest cities in California is long-term residential secure psychiatric care. But I can’t say that publicly because I would be disemboweled by the activist left. My job would be in jeopardy. My reputation would be in jeopardy. My whole life would get turned upside down for even broaching the subject of expanding secure mental health facilities and compulsory mental health treatment.’ And I said, ‘So what’s the solution?’ and this person said, ‘We muddle through.’” And: In San Francisco, radical left activists protested [African-American] Mayor London Breed in front of her home. Breed said the protesters were “all white people. But that didn’t bother me as much as the taunting of me coming outside with firework torches in their hands looking like what used to happen when the KKK would show up to black people’s houses to burn their houses down.” While I was reading the book, I came across this tweet, which suggests that being unimpressed with SF’s lefty homeless activist scene is not limited to Michael Shellenberger: Claim 9: European Cities Like Amsterdam Successfully Solved Their Own Drug And Homelessness Problems By Doing The Opposite Of SF Shellenberger bases his plan to solve these problems on ideas that he says were pioneered in Amsterdam and spread to other European cities. In the 1980s, Amsterdam had the kinds of problems San Francisco deals with now: open-air drug markets, overdose deaths, homelessness, and crime. But in the 90s, they admitted they had a problem and took decisive action: What’s the secret?” I asked him. “Amsterdam has decriminalized marijuana and many other drugs but I haven’t seen any homeless. What is San Francisco doing wrong?” Rene said that in the 1980s, the Zeedijk neighborhood in Amsterdam was a lot like the Tenderloin [the worst part of San Francisco] today. There was open-air drug use, particularly of heroin, and needles strewn about, as well as crime. People started to flee the neighborhood, worsening its slum conditions. Homeless people squatted in abandoned buildings. “We had ghettos where it was not safe to go,” said Rene, who started working in the neighborhood as a nurse in 1985. It was considered a “no go” zone. “We had a lot of people from abroad who came to Amsterdam because our heroin was so good. But our heroin was so good that they died from it.” At first the city tried a “helping approach” exclusively, offering addicts clean needles, methadone, and other forms of help without any law enforcement, but it didn’t work. “In the eighties we just wanted to help people,” said Rene. “We started with methadone programs and medical treatment. We did a lot of work without much of a carrot and a stick. It was really a disappointment. They just used the methadone to stay addicted. They dealt drugs and committed other crimes. They lied and cheated about it. We were just supporting a different kind of market. We had to learn the hard way [...] The Amsterdam City Council asked the Amsterdam Municipal Health Service to develop a strategy to deal with “unmotivated drug users”...The police broke up the open-air drug scene and health workers were on hand to offer methadone, treatment, and shelter. The police broke up gatherings of more than four or five users, but did not treat personal and private use as a crime. Officers ticketed violators, and if users did not pay their fines, which was frequent, the courts ordered arrests, and sentenced individuals to follow a treatment plan or face incarceration. “For every individual homeless person, we make a plan,” said Rene. “We made tens of thousands of those plans.” Plans are overseen by a caseworker and a team that may include a psychiatrist, shelter provider, service provider, judge, employer, parole officer, and police officer. “You need people in the police and health department working together,” he said. What Amsterdam did was the same as other major European cities. Lisbon, Frankfurt, Vienna, and Zurich all dealt with their open-air drug markets, using a combination of law enforcement and social services. Crucially, Amsterdam and other European cities prevented services from being concentrated in a single neighborhood, since their concentration often enables an open-air drug scene to thrive [...] The efforts worked. “We had several thousand people who were addicted to heroin in the eighties and nineties,” said Rene. “Many died. Today we have four or five hundred people addicted to methadone. And we have about 120 in Amsterdam who we supply heroin to on a medical basis because methadone doesn’t work for them. They have to use heroin.” The Amsterdam strategy goes something like: Break up open-air drug markets and anywhere that more than 4-5 drug users are congregating. Yes, people can just use their drugs in private, but this is legitimately better. Open-air markets normalize drugs with their blatantness, and make it hard to quit for the same reason it’s hard to diet if your partner leaves boxes of donuts out in the house every day.
Inline links: percent African-American, percent Borderer, here, the Twinkie Defense, https://substackcdn.com/image/fetch/$s_!8wK3!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F683b9754-f663-47ad-88f5-aa99bc208ec8_1401x622.jpeg, https://twitter.com/weheartprez/status/1526983899309432832
The Moscone Center is 2 million square feet and can fit about 10,000 people. Not to be confused with the Moscone Recreation Center, Moscone Station, or Moscone Elementary School. Meanwhile, all Dianne Feinstein got was one lousy elementary school and the Tithonus package of eternal life without eternal youth. Claim 8: The Intolerant Left Shuts Down Debate On These Issues Another one that’s probably hard to do a randomized controlled trial on. You could probably predict that this one was coming - it’s a necessary narrative beat in this genre of book. I think this beat is good. My impression is that people who aren’t themselves public figures disagreeing with left-wing ideas still don’t understand how scary it is and how much hate you get. Maybe now that 2/3s of every political essay written over the past five years is about this topic, people will finally get it through their thick skulls that it exists and is bad. I would also note that “traumatizing the sorts of people who write popular books about politics, in a such a way that they feel compelled as a sort of self-therapy to write page after page telling readers how angry they should be at you and your whole coalition” isn’t great political praxis. I would like people to figure this out and stop doing it. Anyway, Shellenberger is doing his part in this effort: In 2001, the San Francisco Coalition on Homelessness wheat-pasted posters of a fake front-page San Francisco Chronicle across town. Just beneath the masthead a large headline read “Fuck the Homeless!” right above a picture of San Francisco mayor Willie Brown laughing. Below his photo was the headline “Save the Tourists.” Progressives level the same charges at people thirty years later. “Because of some of the stuff I say,” said a community activist in Seattle’s historically black Capitol Hill neighborhood, “people say, ‘Oh, she’s not for them.’ But I have a heart for homeless and mentally ill. Most of my family works with the mentally ill.” Noted a Chronicle journalist in 2017, “Inevitably, homeless advocates and others will say, ‘You’re not compassionate,’” in response to stories about homeless encampments. “They called me a racist,” said Tom. “They accused me, a guy who used to be homeless, of demonizing the homeless, because I’m asking for accountability.” I found myself similarly accused. In 2019, after I published an article for Forbes about the homeless crisis, a progressive homeless activist accused me on Twitter of having written my article to “make money off of a fear tactic” of “fueling hatred [and] even increasing violence against homeless people.” After I asked the former San Francisco supervisor for the Tenderloin neighborhood, former mayoral candidate Jane Kim, how such a progressive city ended up with so much suffering, she said, “My concern, Michael, just to be very honest, is that when that kind of messaging goes out, violence against people who are unhoused goes up.” […] I soon discovered in my research that I was hardly the first person that progressive elected officials and homelessness advocates had accused of fomenting violence against unhoused people. Many others had been criticized for far worse over the years, including San Francisco’s highest elected officials. “The criticism [by progressive homelessness advocates] was heavy, political and personal,” wrote former mayor Willie Brown in his 2008 memoir. “People accused me of abandoning the problem when I was working daily to try and get a solution going. It was brutal. . . . I had become demonized, and my own efforts belittled.” It is notable that the result of such personal attacks is to frighten off people seeking to change, and perhaps improve, the situation. “The problem” of homelessness, concluded Mayor Brown within nine months of entering office, “may not be solvable.” And [Quoting Chris Rufo]. “The chief of psychiatry in a public hospital system in one of the largest California cities told me, ‘I know for a fact, and all of my colleagues know, that what we actually need to deal with the problem in the biggest cities in California is long-term residential secure psychiatric care. But I can’t say that publicly because I would be disemboweled by the activist left. My job would be in jeopardy. My reputation would be in jeopardy. My whole life would get turned upside down for even broaching the subject of expanding secure mental health facilities and compulsory mental health treatment.’ And I said, ‘So what’s the solution?’ and this person said, ‘We muddle through.’” And: In San Francisco, radical left activists protested [African-American] Mayor London Breed in front of her home. Breed said the protesters were “all white people. But that didn’t bother me as much as the taunting of me coming outside with firework torches in their hands looking like what used to happen when the KKK would show up to black people’s houses to burn their houses down.” While I was reading the book, I came across this tweet, which suggests that being unimpressed with SF’s lefty homeless activist scene is not limited to Michael Shellenberger: Claim 9: European Cities Like Amsterdam Successfully Solved Their Own Drug And Homelessness Problems By Doing The Opposite Of SF Shellenberger bases his plan to solve these problems on ideas that he says were pioneered in Amsterdam and spread to other European cities. In the 1980s, Amsterdam had the kinds of problems San Francisco deals with now: open-air drug markets, overdose deaths, homelessness, and crime. But in the 90s, they admitted they had a problem and took decisive action: What’s the secret?” I asked him. “Amsterdam has decriminalized marijuana and many other drugs but I haven’t seen any homeless. What is San Francisco doing wrong?” Rene said that in the 1980s, the Zeedijk neighborhood in Amsterdam was a lot like the Tenderloin [the worst part of San Francisco] today. There was open-air drug use, particularly of heroin, and needles strewn about, as well as crime. People started to flee the neighborhood, worsening its slum conditions. Homeless people squatted in abandoned buildings. “We had ghettos where it was not safe to go,” said Rene, who started working in the neighborhood as a nurse in 1985. It was considered a “no go” zone. “We had a lot of people from abroad who came to Amsterdam because our heroin was so good. But our heroin was so good that they died from it.” At first the city tried a “helping approach” exclusively, offering addicts clean needles, methadone, and other forms of help without any law enforcement, but it didn’t work. “In the eighties we just wanted to help people,” said Rene. “We started with methadone programs and medical treatment. We did a lot of work without much of a carrot and a stick. It was really a disappointment. They just used the methadone to stay addicted. They dealt drugs and committed other crimes. They lied and cheated about it. We were just supporting a different kind of market. We had to learn the hard way [...] The Amsterdam City Council asked the Amsterdam Municipal Health Service to develop a strategy to deal with “unmotivated drug users”...The police broke up the open-air drug scene and health workers were on hand to offer methadone, treatment, and shelter. The police broke up gatherings of more than four or five users, but did not treat personal and private use as a crime. Officers ticketed violators, and if users did not pay their fines, which was frequent, the courts ordered arrests, and sentenced individuals to follow a treatment plan or face incarceration. “For every individual homeless person, we make a plan,” said Rene. “We made tens of thousands of those plans.” Plans are overseen by a caseworker and a team that may include a psychiatrist, shelter provider, service provider, judge, employer, parole officer, and police officer. “You need people in the police and health department working together,” he said. What Amsterdam did was the same as other major European cities. Lisbon, Frankfurt, Vienna, and Zurich all dealt with their open-air drug markets, using a combination of law enforcement and social services. Crucially, Amsterdam and other European cities prevented services from being concentrated in a single neighborhood, since their concentration often enables an open-air drug scene to thrive [...] The efforts worked. “We had several thousand people who were addicted to heroin in the eighties and nineties,” said Rene. “Many died. Today we have four or five hundred people addicted to methadone. And we have about 120 in Amsterdam who we supply heroin to on a medical basis because methadone doesn’t work for them. They have to use heroin.” The Amsterdam strategy goes something like: Break up open-air drug markets and anywhere that more than 4-5 drug users are congregating. Yes, people can just use their drugs in private, but this is legitimately better. Open-air markets normalize drugs with their blatantness, and make it hard to quit for the same reason it’s hard to diet if your partner leaves boxes of donuts out in the house every day.
Inline links: https://twitter.com/weheartprez/status/1526983899309432832
The San Francisco districts with the highest (left) and lowest (right) homelessness rates. I correlated homelessness rate and population-adjusted density in the same cities I looked at above, but it didn’t add much predictive value to housing prices. Maybe this is restriction of range (all big cities are dense enough to have homelessness, compared to suburbs), or maybe the key feature is relative rather than absolute density (ie the homeless will go to the densest place nearby). Conclusion: No social phenomenon is ever caused by just one thing, but San Francisco’s homelessness rate is around where a housing-cost-based model would predict. San Fransicko briefly touches on this, but overall tries to de-emphasize it in favor of talking about drugs and mental illness. Critiques of patterns of emphasis are necessarily subjective, but the book’s pattern feels misleading to me. Claim 2: Standard Accounts Underemphasize The Role Of Drugs And Mental Illness In Homelessness Having argued homelessness isn’t just about poverty, the book goes on to say we’re neglecting the central role of mental illness and substance abuse: Over the last decades there were many visible signs that homelessness was about much more than poverty and housing. Between 2010 and 2020, the number of calls made to San Francisco’s 311 line complaining of used hypodermic needles on sidewalks, in parks, and elsewhere rose from 224 to 6,275. In 2018, footage of dozens of people slumped over in an entrance to a Bay Area Rapid Transit (BART) station, many with needles in their arm, went viral. “We call it the heroin freeze,” said one local. “They can stay that way for hours.” Said another, “It’s like the land of the living dead.” For decades researchers have documented much higher levels of mental illness and substance abuse among the homeless than in the rest of the population. It’s true that just 8 and 18 percent of homeless people point to mental illness and substance abuse, respectively, as the primary cause of their homelessness, but researchers have long understood that such self-reports are unreliable due to the socially undesirable nature of substance abuse, and the lack of insight that often accompanies mental illness. Using other methods, San Francisco’s Health Department in 2019 estimated that 4,000 of the city’s 8,035 homeless, sheltered and unsheltered, are both mentally ill and suffering from substance abuse. Of those 4,000, about 1,600 frequently used emergency psychiatric services. Shellenberger’s source for 4000 homeless people having these issues is this SF Chronicle article, which seems to based off of this report. The report does estimate 4000 homeless people with mental illness and substance abuse, but it uses a yearly rather than point estimate of homelessness, and finds 18,000 rather than 8,000 people. That means it only finds a 22% rate of these problems, not a 50% rate. Thanks to commenter Sean for hunting down this report and helping explain this. I looked for other statistics to provide context on this number. This 2013 San Francisco Homeless Count found that 29% admitted chronic depression, 15% PTSD, and 22% some other mental illness. About 30% admitted to a substance use disorder, although as far as I can tell this is just the number who admitted it was a disorder, so maybe more used drugs. This article by the Los Angeles Times describes an LA study finding that 25% of homeless people had mental health issues and 14% had drug issues. The Times re-analyzes it in a way that ups the numbers to 34% and 46%, respectively. But they don’t say exactly what choices they made differently, and the few they do give don’t really inspire confidence. Although in some cases they count questions clearly about mental illness which the official definition inexplicably refused to count, in others they decide to count anyone who has ever had mental illness, reversing a government decision to require the mental illness to be long-term (does this mean that if I lost my house tomorrow, the LA Times use me as an example of a “mentally ill homeless person” because I saw a psychiatrist for OCD when I was a kid?) Studies like these don’t show causation. Sure, mental illness can make people homeless. But homelessness can also cause mental illness. One SF study found psych diagnoses among the homeless to be evenly divided among depression, PTSD, and everything else. Homelessness is a depressing and traumatic environment. Just because someone who’s been on the streets for a year has depression or trauma, doesn’t mean that we should attribute their homelessness to mental illness. This study by the California Policy Lab does better. It asks what factors played a role in homeless people losing their homes, and finds that 50% of unsheltered and 17% of sheltered homeless point to mental illness (given SF’s balance, that suggests 37% of SF homeless would point to that problem). But I can’t help but notice that when you add up the percent of people who lost their homes due to physical illness, psych illness, and drug use, it totals 147%. Based on numbers from other studies, it looks like if you added in job loss, eviction, etc, the numbers would total well above 400%. This makes me think people are saying “yes” if the factor played even a minor role in their eventual homelessness, and this shouldn’t be treated as 37% of homeless having mental health issues being their main problem. The same study finds that about 66% of the homeless “have” some mental health problem, but this time they don’t tell us what question they asked or what criteria they use. What about psychosis in particular? This meta-analysis claims that in developed countries (a category to which San Francisco still nominally belongs) about 19% of homeless people qualify for diagnosis with a psychotic disorder, including 9% with schizophrenia in particular. Not all people with psychotic disorders are completely crazy all the time, and some very much are not, but this is at least a specific condition with real criteria. Conclusion: Overall, I’m disappointed in most of the published research on this question, which seems more interested in producing glossy brochures about funding disparities than in informing anybody what any of their numbers mean. But putting it all together and squinting really hard, I think we can tell a story where 10-20% of the homeless are seriously psychotic, and another 20-30% have contributing mental health conditions including depression, PTSD, and others. Somewhere between 25% and 50% of the homeless have substance abuse problems, and this probably mostly overlaps with the 25% - 50% who have psych diagnoses. I think San Fransicko gets this mostly right. Claim 3: “Housing First” Isn’t As Great As People Think, And Might Be Harmful The National Myth About Homelessness is that The Bad People are refusing to give people houses until they’ve “proven” they “deserve” them, thus perpetuating homelessness when they inevitably fail to qualify. The Good People have united under an exciting new banner called “Housing First” to push the revolutionary idea that people should get houses regardless of whether they conform to normal standards of respectability or not. Wherever this is adopted, homelessness rates fall, and the formerly homeless becoming healthier, safer, and more likely to re-integrate into society. Best of all, the program pays for itself in decreased health care and policing costs. The only impediment to solving homelessness everywhere is the Bad People who still insist on not housing the homeless until they’ve “earned” it. In real life, everyone important has been united under Housing First since the Bush administration made it national policy fifteen years ago, and most of the cities with spiraling homelessness crises have been pursuing Housing First policies for decades (eg San Francisco has been trying Housing First since the 1990s). The Obama and Trump administrations both set funding policies that penalized any non-Housing-First welfare programs. Still, everyone is sure that the reason there are still homeless people must be that some Housing First opponent still exists somewhere, ruining everything with their purity-testing ways. But actually these people have already been relegated to the conservative think tanks where moribund ideas go to die. I have looked through a lot of studies and articles to try to see how well Housing First works. I am most sympathetic to the conclusions of Tsai (2020), who basically says that: Homeless people who are given houses are more housed than homeless people who are not given houses. Way, way more housed. You would not believe how strong of an effect giving someone housing has on them being housed. The same is true for other outcome measures like “time spent experiencing homelessness”, “number of days spent in a temporary homeless shelter”, etc. You might think this is obvious, but this is used as the primary outcome in a lot of studies, and “success” on this metric is behind a lot of claims that “studies show Housing First works great!”
Inline links: this SF Chronicle article, this report, 2013 San Francisco Homeless Count, This article, This study, This meta-analysis, some very much are not, made it national policy, since the 1990s, funding policies, Tsai (2020)
Highlights From The Comments On Last Week's Model Cities Post
September 11, 2023 · Original source
https://www.sfchronicle.com/bayarea/article/San-Bruno-rejected-plan-for-425-homes-Now-14698779.php
Inline links: https://www.sfchronicle.com/bayarea/article/San-Bruno-rejected-plan-for-425-homes-Now-14698779.php
Shakesville2 mentions across 2 issues

Shakesville is a recurring publication in the Astral Codex Ten archive, appearing 2 times across 2 issues between May 10, 2021 and May 07, 2024. The archive places it in contexts such as "The three big early feminist blogs were ... Shakesville (Melissa McEwan, 2004)"; "Shakesville has a Feminism 101 section written in 2010"; "a former Shakesville contributor. It tracks the community's decline". It most often appears alongside America, Google, Pandagon.

Article page
Shakesville
Mention count
2
Issue count
2
First seen
May 10, 2021
Last seen
May 07, 2024
Outbound links
Issue trail
Related pages
Source context
The Rise And Fall Of Online Culture Wars
May 10, 2021 · Original source
The three big early feminist blogs were Pandagon (featuring Amanda Marcotte, started in 2001) Shakesville (Melissa McEwan, 2004), and Feministing (Jessica Valenti, 2004). All three peaked around the same time - 2008 to 2009 - before declining in favor of a later era of blogs.
Internet feminism began right smack in the midst of this transition, and you can find relics from both sides. The most significant artifact of feminist argument culture is the Geek Feminism Wiki (2009 - 2012), which was doing something vaguely similar to TalkOrigins - trying to put a lot of feminist thought in an easily accessible place. So for example, if someone didn't know what slut shaming was, or didn't think it was bad, you could show them the GFW page on slut-shaming which would educate them and maybe change their mind. I see similar things on a few other feminist websites, almost always from the same period; for example, Shakesville has a Feminism 101 section written in 2010.
Inline links: Geek Feminism Wiki, page on slut-shaming, Feminism 101
When this went well, it created friendly cohesive communities. When it went badly, it went really badly. The Outline has a great article on Shakesville's Unravelling And The Not-So-Golden-Age Of Blogging, written by a former Shakesville contributor. It tracks the community's decline from a relatively fun and open space, through increasing orthodoxy, to the point where it became kind of cultish. By the end, "new commenters were asked to read approximately 205,000 words, about the equivalent of Moby-Dick, before typing a single sentence at Shakesville", and:
Inline links: Shakesville's Unravelling And The Not-So-Golden-Age Of Blogging
Highlights From The Comments On "The Origin Of Woke"
May 07, 2024 · Original source
Why was Duke Power Co decided the way it was, since they asked people to take a mechanical aptitude test for a mechanical job? Sam kindly answered: 1) He may be right about that (I don't know actually) but even if he is right, so what? If a test is relevant to a job, that evidence will apply to each worksite. It's not like there's some affirmative requirement that employers prove the test works before they can implement it--they can do whatever they want and the only check is a lawsuit. A plaintiffs' attorney is not going to bring that case if it doesn't have some evidence the 2) Very easy. You just have to show there is a “manifest relationship to the employment in question" (a more lenient standard added by subsequent more conservative courts) then the burden shifts to the plaintiffs to prove its not legitimate or that the employer could achieve the same goal in a way that doesn't have a disparate impact. In Griggs, there was direct evidence from the employer's own experience that the test they were using was uncorrelated with job performance. 3) That is likely enough. But if, for example, their experience showed that people with a criminal history were no likelier to be violent and criminal than that argument would rightly fail. I think it is also unlikely the EEOC will win this case in the current legal environment. 4) As I said above, if you read the actual case, the facts were that the test did not predict success at the job. This turns out to be very common. More discussion of Duke v. Griggs - this is all coming from one very long thread, which you might prefer to read directly, starting with Mr. Doolittle: I don't think the EEOC is being disingenuous when they think a company is discriminating. Their perspective is coming from the side that sees actual discrimination, often hidden behind convenient stories. Read Duke Power sometime in detail - there's no doubt that the company was flagrantly discriminating and lying about it. That said, I don't think the EEOC has an actual problem with merit tests like Google having someone write code for a coding job. They have a real problem with mission-creep tests (like requiring that coding test for lower level employees) or anything that might be a hidden way to discriminate. I think they also have some true-believer "woke" types that really think that any disparate impact is hidden discrimination, but for legal reasons this is significantly less prevalent than in other "woke-adjacent" contexts. Bob Frank (blog) writes: » “Read Duke Power sometime in detail - there's no doubt that the company was flagrantly discriminating and lying about it.” ...which was quite adequately remedied at the appeals court level. The plaintiffs got everything they could have reasonably wanted. But the EEOC didn't want to fix the problem they were ostensibly suing over; they wanted to use it as a premise to push their social agenda, so they appealed to the Supreme Court, and we ended up with one of the most damaging rulings in history. I wrote about this in some detail last year: Forewarned Is Forearmed The Most Significant Case You've Never Heard Of People often think of the 1960s as a tumultuous time in our nation’s history, but in many ways the real damage was done in the 1970s. The 70s was a time when a lot of the chaos of the 60s settled down, but unfortunately it didn’t happen by conditions getting back to normal so much as by surrender, assimilating the chaos into a “new normal” that was sig… Read more 3 years ago · 5 likes · Bob Frank gdanning writes: Your article refers to what you call "Duke Power’s use of industry-standard aptitude tests in employment decisions. " But here are the actual facts: » ”The Company added a further requirement for new employees on July 2, 1965, the date on which Title VII became effective. To qualify for placement in any but the Labor Department it became necessary to register satisfactory scores on two professionally prepared aptitude 428*428 tests, as well as to have a high school education. Completion of high school alone continued to render employees eligible for transfer to the four desirable departments from which Negroes had been excluded if the incumbent had been employed prior to the time of the new requirement. In September 1965 the Company began to permit incumbent employees who lacked a high school education to qualify for transfer from Labor or Coal Handling to an "inside" job by passing two tests— the Wonderlic Personnel Test, which purports to measure general intelligence, and the Bennett Mechanical Comprehension Test. Neither was directed or intended to measure the ability to learn to perform a particular job or category of jobs […] » On the record before us, neither the high school completion requirement nor the general intelligence test is shown to bear a demonstrable relationship to successful performance of the jobs for which it was used. Both were adopted, as the Court of Appeals noted, without meaningful study of their relationship to job-performance ability. Rather, a vice president of the Company testified, the requirements were instituted on the Company's judgment that they generally would improve the overall quality of the work force. » The evidence, however, shows that employees who have not completed high school or taken the tests have continued to perform satisfactorily and make progress in departments for which the high school and test criteria are now used.” This leaves me with more questions than it answers. For example, if a company hasn’t explicitly measured how tests correlate with performance (which I assume is the case with most tests), are the tests okay or not? Also, could someone who’s annoyed at ballooning degree requirements (eg me) sue every company that requires a college degree, asking them to prove that it’s really necessary? Steve Sailer describes his personal experience: I worked for a marketing research startup firm from 1982-2000. In 1982, our hiring exam was the final exam given by one of our founders, a college professor, in his Quantitative Methods in Marketing Research course. It was a great test, and we hired a lot of good people in the 1980s. Our biggest client gave a similar exam and hired a lot of good people. When the EEOC went after our biggest, most prestigious client over their hiring exam, the firm then spent a lot of money on consulting firms to have it validated as related to work performance to the necessary legal standard. And they continued to hire good people. In contrast, when the EEOC finally noticed us in the 1990s, we found out how much it would cost to validate our exam and decided to save money by throwing it out. That turned out to penny wise and pound foolish. If this is true, it sounds like the burden of proof is on the test-giver, and it’s a pretty high burden. I don’t know how this meshes with what Sam B is saying, unless Steve’s experience was before the change in the law that Sam mentions. Hadi Khan (blog) writes: » “As I said above, if you read the actual case, the facts were that the test did not predict success at the job. This turns out to be very common.” This does not mean the test isn't a good test in the sense that it doesn't measure job performance. See how there is no correlation between a players height in the NBA and how well they perform. This is because if there was a correlation then selectors would be leaving money on the table and they could improve their selection for the coming year by increasing the weighting on height (compared to everything else), which would in turn reduce the amount of correlation. Rinse and repeat until there is no correlation left. The test not predicting job performance could equivalently mean that Duke Power had a very well calibrated way to choose their employees where they were prefectly capturing the information from the apitutde test compared to all the other factors involved in hiring. Indeed the fact that this turns out to be very common suggests to me that this is going on here (and elsewhere). Good point! I don’t know when the correlation between test score and job performance was measured, and whether it should be expected to have this problem. 5: The Origins Of Modern Wokeness (again, you might want to read Hanania’s post answering objectors on this point) Carateca writes: I hew more to the Tumblr theory of the origins of woke (Katherine Dee has written about this, although at infuriatingly short length.) All this was incubated on Tumblr by mentally ill teenagers in the mid-00s, expanded from there to various web forums/proto-social media of the era such as Something Awful and Livejournal where the mentally ill teenagers could gain cultural or moderation power, and then exploded onto Twitter where it cowed cultural leaders into compliance and suddenly people at your office were putting pronouns in their bios, doing land acknowledgments and sterilizing their kids. Civil rights law under this theory was a weapon for the woke to pick up, not the cause of the problem. (Edit: and not even that relevant of a weapon, regardless of its merit otherwise; wokeness's greatest damage is cultural, not legal.) I agree with the Tumblr theory too, though I think some blogs (eg Shakesville, Pandagon) might have been closer to Patient Zero. I continue to be a little confused how and why stuff that deranged teenagers were discussing on microblogs made it to the halls of power, and I would appreciate a more focused Origins Of Woke book discussing this process. Desertopa writes: So, I don't think I'm qualified to write that book, and if anything I'm less qualified now than I was twelve years or so ago, since it's been a long while since I've brushed up on the source material. But I think I'm better versed in what went into it than most people, and I'm prepared to at least take a stab at a substack comment on the subject. My impression, as of around 2009, before people identified "woke" as a thing, and before the social justice subculture that gave rise to the term had really solidified, but at a point when it was distinctly trending in that direction, is that the movement was essentially a result of academic ideas filtered through a specific, mostly online social context. While a lot of people, especially back then, would argue that the academic basis of the movement was sound, but often interpreted poorly by radical ideologues, my impression, as someone who read a lot more of the actual academic work than most, is that this was a mistaken interpretation, that the academic work actually *was* written largely by radical ideologues in the first place, and simply dressed up in language suited to an academic audience. I still identify as much more left wing than right wing, and this was even more the case at the time, since the far left end hadn't moved nearly as far away from me at that point. But, my impression is that at least as far back as the aftermath of the Civil Rights Movement, there was a balance between the left and right wings on issues of racial and gender justice etc. where both sides essentially held to the norms of trying to enact their desired changes via collective political action and measured civil disobedience, with the left wing making more or less continual progress against the right, until the left wing decided to defect first. This began in academia, with writers who framed the issue of racial justice essentially in terms of existential warfare. Basically "we are opposed by a group of ideological enemies who are trying to destroy us and everything we represent. The mechanisms of gradual change collective political action and measured civil disobedience are fundamentally aligned against us in the favor of our ideological enemies, thus we have to break away from those and fight with tools which fundamentally favor our cause in order to be able to effectively defend ourselves." Because the writers in question were academics with cushy university positions, their actual mechanism of political action was writing books arguing people ought to do these things, which were mostly only read by other academics and ignored by the general populace. But when social justice started becoming a major component of the online subculture which was incubating in the mid to late 2000s, although only a minority of people actually read the work of actual academics on the subject, people who did were extremely influential in the movement, and ideas which originated in academia propagated to fixation through it. In the earlier days of the social justice movement, there were separate strains which cooperated on object-level goals, but disagreed over big-picture questions like "should we frame social agendas in terms of Us vs. Them conflict drawn around identity groups, or in terms of alignment with philosophical goals?" and "should we attempt to move towards progressively more colorblind ideals of egalitarianism, or ones which consciously privilege minority groups?" The identitarian strain eventually became more or less hegemonic over the movement, partly I think because it's an easier sell based on ordinary patterns of human thought (we've been engaged in identitarian tribal conflict for the entirety of human history,) and partly because almost all the academic underpinning behind the movement actually argued in support of the identitarian strain. I personally started to distance myself from the social justice movement around 2009, while remaining broadly aligned with its object-level goals, in large part because I started reading enough of the academic philosophy behind it to realize that the academics other people were treating as foundational figures (even if most of them didn't actually read their work) were essentially arguing that we needed to abandon the societal institution of liberalism because it was fundamentally aligned against the goals of social justice, while failing to acknowledge that the mechanisms of liberalism had been producing consistent incremental gains for social justice for the last several decades. This is also how I remember things. The part that seems mysterious to me is how the left defected from pre-existing norms so successfully - or rather, if defection gave such an obvious advantage, how the pre-existing norms had stayed in place before. Neike Taika-Tessaro writes: Interestingly, I was going to say Hanania's missing element could just be graphs like these: i.e. affirmative action laid the groundwork for this, then people connected, coordinated, and used it much more aggressively. I feel like that's basically what you're saying, except that what I'm (ignorantly) ascribing to Hanania here and what you're saying disagree on the cause. I guess in Hanania's framing, wokeness was inevitable once affirmative action existed in the legal framework; whereas in Dee's faming, wokeness was not inevitable once affirmative action existed, but is a separate phenomenon that then seized upon the tool. I'm probably doing both of them an injustice with that, mind. (To be clear, I'm not in the US and avoid most social media, so I don't particularly have opinions on this either way, I just immediately thought 'the internet' when Scott referred to the cultural turn between 2010 and 2015 and asked "Why would 1964 and 1991 laws turn wokeness into a huge deal in 2015?".) Yeah, something like this also has to be part of the picture, although I still don’t feel like I understand the mechanism well enough that I could have predicted this ahead of time. More patient zero speculation, from MarsDragon: Historical nitpick: it's less that Tumblr infected LiveJournal so much as LJ users were forced to move to Tumblr as LJ got increasingly difficult to use starting around 2009-2010. The migration had more or less completed by 2012. Tumblr being so much more of a "modern" social media platform where it was easy to repost content and you got a random jumble of posts instead of a carefully-curated set of friends made it much easier for social justice thinking to spread. I think the whole shift to showing users a melange of content instead of a staid list of people the user chose to follow was a big driver of that sort of thinking. It allowed ideas to spread, upped controversy, and drives that sort of "we must purge this!" was of thinking. The LiveJournal experts here say the key event to look at was Racefail, when, according to Carateca: I had a front row seat and it was remarkable how the whole superstructure of a totalitarian state just congealed out of thin air in days and instantly took over a whole subculture. Sometimes I think that if Charlie Stross and the rest of them had just had some fucking balls and stood up to the bullies -- or, hell, just pushed the block button a few times -- none of this would ever have happened. I support any theory that lets us blame everything on Charlie Stross. naraburns writes: Anyway, I would argue that "woke" does not begin with civil rights law, but rather that both are the result of the same intellectual tradition. "Woke" attitudes are basically analogous to what was called "cultural Marxism" decades ago (see e.g. Weiner's (1981) "Cultural Marxism and Political Sociology"), but since "Cultural Marxism" has been retconned as an anti-Semitic conspiracy theory, people needed a different name for it. The linguistic treadmill is merciless, especially when dealing with political movements attempting to escape accountability for their past failures (or successes). I agree that there’s a crappy trick that goes: Take a thing that you don’t want people to be allowed to talk about. For example, maybe Coca-Cola doesn’t want people to talk about how soda makes you fat.
Inline links: kindly answered, one very long thread, blog, Forewarned Is Forearmed The Most Significant Case You've Never Heard Of People often think of the 1960s as a tumultuous time in our nation’s history, but in many ways the real damage was done in the 1970s. The 70s was a time when a lot of the chaos of the 60s settled down, but unfortunately it didn’t happen by conditions getting back to normal so much as by surrender, assimilating the chaos into a “new normal” that was sig… Read more 3 years ago · 5 likes · Bob Frank, writes, describes his personal experience, blog, Hanania’s post answering objectors on this point, writes, writes, writes, https://substackcdn.com/image/fetch/$s_!9wmv!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa774249b-b07c-4205-a3e4-68d95e763bfa_808x303.png, MarsDragon, Racefail, Carateca, writes
Slow Boring2 mentions across 2 issues

Slow Boring is a recurring publication in the Astral Codex Ten archive, appearing 2 times across 2 issues between March 15, 2021 and January 06, 2026. The archive places it in contexts such as "Slow Boring will exceed 10,000 paid members"; "someone over on Slow Boring starts speculating about how I, a young boomer". It most often appears alongside United States, @docneto, Americans.

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Slow Boring
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2
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2
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March 15, 2021
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January 06, 2026
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Mantic Monday: Mantic Matt Y
March 15, 2021 · Original source
1. Jon Ossoff and Raphael Warnock win the Georgia Senate races 2. The same party wins both Senate races in Georgia 3. Joe Biden ends the year with his approval rating higher than his disapproval rating 4. Joe Biden ends the year with his approval rating above 50% 5. US GDP growth in 2021 is the fastest of any year of the 21st century 6. The year-end unemployment rate is below 5 percent 7. The year-end unemployment rate is above 4 percent 8. Lakers win the NBA championship 9. Joe Biden ends the year as president 10. Nancy Pelosi sets a definitive retirement schedule 11. A vacancy arises on the Supreme Court 12. The EU ends the year with more confirmed Covid-19 deaths than the US 13. Substack will still be around 14. People will still be writing takes asking if Substack is really sustainable 15. Apple releases new iMacs powered by Apple silicon 16. Apple does not release a new Mac Pro powered by Apple silicon 17. Monthly year-on-year core CPI growth does not go above 2 percent 18. Monthly year-on-year core CPI growth does not go above 3 percent 19. Lloyd Austin not confirmed as Defense Secretary 20. No federal tax increases are enacted 21. Biden administration unilaterally relieves some but not all student debt 22. United States rejoins JCPOA and Iran resumes compliance 23. Israel and Saudi Arabia establish official diplomatic relations 24. US and China reach agreement to lift Trump-era tariffs 25. Slow Boring will exceed 10,000 paid members
1. Jon Ossoff and Raphael Warnock win the Georgia Senate races (60%) 2. The same party wins both Senate races in Georgia (95%) 3. Joe Biden ends the year with his approval rating higher than his disapproval rating (70%) [83%] 4. Joe Biden ends the year with his approval rating above 50% (60%) [60%] 5. US GDP growth in 2021 is the fastest of any year of the 21st century (80%) [84%] 6. The year-end unemployment rate is below 5 percent (80%) 7. The year-end unemployment rate is above 4 percent (80%) 8. Lakers win the NBA championship (25%) [25%] 9. Joe Biden ends the year as president (95%) [96%] 10. Nancy Pelosi sets a definitive retirement schedule (60%) 11. A vacancy arises on the Supreme Court (70%) [50%] 12. The EU ends the year with more confirmed Covid-19 deaths than the US (60%) [80%] 13. Substack will still be around (95%) 14. People will still be writing takes asking if Substack is really sustainable (80%) 15. Apple releases new iMacs powered by Apple silicon (90%) [84%] 16. Apple does not release a new Mac Pro powered by Apple silicon (70%) [53%] 17. Monthly year-on-year core CPI growth does not go above 2 percent (70%) 18. Monthly year-on-year core CPI growth does not go above 3 percent (90%) 19. Lloyd Austin not confirmed as Defense Secretary (60%) 20. No federal tax increases are enacted (95%) 21. Biden administration unilaterally relieves some but not all student debt (80%) 22. United States rejoins JCPOA and Iran resumes compliance (80%) 23. Israel and Saudi Arabia establish official diplomatic relations (70%) [38%] 24. US and China reach agreement to lift Trump-era tariffs (70%) 25. Slow Boring will exceed 10,000 paid members (70%) [75%]
Highlights From The Comments On Boomers
January 06, 2026 · Original source
I genuinely don’t want you to take this personally. When you or someone over on Slow Boring starts speculating about how I, a young boomer, should be forced out of my nice house that I bought with my own money, it truly makes me want to get a gun and shoot you. Scott, I’m not going to do that, so please don’t ban me. I’m explaining how murderously angry it makes me feel. So every other age group gets to have whatever goods and services are available at a market rate, but old people have to move to shitty apartments because we’re worth so much less than young people?
Southern Weekly2 mentions across 2 issues

Southern Weekly is a recurring publication in the Astral Codex Ten archive, appearing 2 times across 2 issues between April 06, 2022 and April 28, 2022. The archive places it in contexts such as "The censoring of Southern Weekly, previously a well-regarded Chinese newspaper"; "The censoring of Southern Weekly, previously a well-regarded Chinese newspaper, is emblematic". It most often appears alongside Bo Xilai, CCP, Central Military Commission.

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Southern Weekly
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2
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April 06, 2022
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April 28, 2022
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Dictator Book Club: Xi Jinping
April 06, 2022 · Original source
Along with corruption, he’s reined in media and academia, and crushed dissent. This was hard for me to appreciate: to an America, Hu’s China and Xi’s China just feel like different flavors of police state. But to people who grew up in Hu’s China, Xi’s regime feels like a clear step backwards. The censoring of Southern Weekly, previously a well-regarded Chinese newspaper, is emblematic of the print side of things. Universities that previously had a long leash are finding that professors are increasing getting disciplined for teaching non-state-approved courses, and new university hires are now mandated to pass “political correctness interviews” along with having subject-specific qualifications, plus undergo a background check to make sure they never expressed dissenting political opinions.
Inline links: Southern Weekly
Highlights From The Comments On Xi Jinping
April 28, 2022 · Original source
> "The censoring of Southern Weekly, previously a well-regarded Chinese newspaper, is emblematic"
Sure - but the Southern Weekly and others in the Southern stable, while "well-regarded," were never actually good. What has happened is this: factional debate in China used to sometimes happen in the newspapers. It was exciting to read when it happened. Western observers salivated at the access it gave them to current Chinese political thought, which is usually very opaque. But it was always opinion within the current acceptable range of political possibility. No one who thought the CPC should not be in power ever wrote in the Southern Weekly.
SSC survey2 mentions across 2 issues

SSC survey is a recurring publication in the Astral Codex Ten archive, appearing 2 times across 2 issues between August 21, 2023 and May 30, 2024. The archive places it in contexts such as "it’s confirmed by the SSC survey"; "I checked this in an old SSC survey". It most often appears alongside 1990s, Aella, AI risk.

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SSC survey
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2
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2
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August 21, 2023
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May 30, 2024
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What Can Fetish Research Tell Us About AI?
August 21, 2023 · Original source
For example: autistic people seem to have more fetishes than neurotypicals; you can find studies showing this, it’s confirmed by the SSC survey, and it’s further confirmed by my anecdotal experience around autistic people. Is this because something about the autistic ultralocal processing style favors misgeneralization? Is there some equivalent in AI parameters that could make them more or less autistic, and would that change how correct (or maybe how consistent) their category generalization is?
Inline links: studies showing this, the SSC survey
Contra Stone On EA
May 30, 2024 · Original source
But all of this speculation is unnecessary. There are plenty of data sources that just tell us how much effective altruists donate compared to everyone else. I checked this in an old SSC survey, and the non-EAs (n = 3118) donated an average of 1.5%, compared to the EA (n = 773) donating an average of 6%.
SSC Survey Results2 mentions across 2 issues

SSC Survey Results is a recurring publication in the Astral Codex Ten archive, appearing 2 times across 2 issues between December 23, 2022 and January 18, 2023. The archive places it in contexts such as "you can try to replicate my work using the publicly available SSC Survey Results". It most often appears alongside 2020 SSC Survey, Astralcodexten, SAT.

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SSC Survey Results
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2
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2
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December 23, 2022
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January 18, 2023
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Fact Check: Do All Healthy People Have Mystical Experiences?
December 23, 2022 · Original source
As always, you can try to replicate my work using the publicly available SSC Survey Results. If you get slightly different answers than I did, it’s because I’m using the full dataset which includes a few people who didn’t want their answers publicly released. If you get very different answers than I did, it’s because I made a mistake.
Inline links: SSC Survey Results
SSC Survey Results On Schooling Types
January 18, 2023 · Original source
As always, you can try to replicate my work using the publicly available SSC Survey Results. If you get slightly different answers than I did, it’s because I’m using the full dataset which includes a few people who didn’t want their answers publicly released. If you get very different answers than I did, it’s because I made a mistake, and you should tell me.
Inline links: SSC Survey Results
standupeconomist.com2 mentions across 2 issues

standupeconomist.com is a recurring publication in the Astral Codex Ten archive, appearing 2 times across 2 issues between December 28, 2021 and July 23, 2023. The archive places it in contexts such as "sign up for overall updates and see comedy videos at https://standupeconomist.com/videos/"; "email yoram@standupeconomist.com for details". It most often appears alongside FDA, Utah, Yoram Bauman.

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2
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2
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December 28, 2021
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July 23, 2023
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ACX Grants Results
December 28, 2021 · Original source
Yoram Bauman, $50,000, to help fund his campaign for economically literate climate change solutions. Bauman was the sponsor of the 2016 Washington carbon tax ballot initiative, which failed by a small margin. Now he's built up a coalition of economists, environmentalists, and friendly politicians to try to get climate measures passed or on the ballot in seven states by 2024. Bauman is the world's only “stand-up economist”, and also on track to be the world's only person to win a bet with Bryan Caplan. You can follow or donate to the effort he’s part of in Utah at CleanTheDarnAir.org, connect via email or twitter to chat about Nebraska, South Dakota, Arizona, Michigan, or your favorite state (yoram@standupeconomist.com, @standupecon), or sign up for overall updates and see comedy videos at https://standupeconomist.com/videos/.
Inline links: Yoram Bauman, on track, Bryan Caplan, CleanTheDarnAir.org, yoram@standupeconomist.com, @standupecon, https://standupeconomist.com/videos/
Open Thread 286
July 23, 2023 · Original source
1: ACX grantee Yoram Bauman continues his climate change work. This time he's trying to get a proposition on the Utah ballot for a revenue-neutral replacement of some sales taxes with carbon taxes. He needs 135,000 signatures by November but only has 15,000 so far. If you're in Utah, consider volunteering to help gather signatures. And if you're interested in climate-related grantmaking, he estimates that $100K - $200K in campaign funds would give him a strong chance of getting the remaining signatures in time; email yoram@standupeconomist.com for details.
Inline links: a proposition, volunteering to help gather signatures., yoram@standupeconomist.com
Substack Notes2 mentions across 2 issues

Substack Notes is a recurring publication in the Astral Codex Ten archive, appearing 2 times across 2 issues between April 27, 2023 and July 23, 2024. The archive places it in contexts such as "Sam Kriss writes a response on Substack Notes"; "A sample from my Substack Notes feed". It most often appears alongside 286, 8088, Adorno.

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Substack Notes
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2
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2
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April 27, 2023
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July 23, 2024
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Highlights From The Comments On Nerds And Hipsters
April 27, 2023 · Original source
Sam Kriss writes a response on Substack Notes (starting here). After agreeing that “nerd” has many conflicting definitions, and overall agreeing with my thesis, he writes:
Inline links: starting here
Original post: Contra Kriss On Nerds And Hipsters
Inline links: Contra Kriss On Nerds And Hipsters
On a rational level, I’m less sure. Suppose we took the Ant-Man movie, translated the plot into concepts that would make sense in medieval Welsh, and wrote it up in the style of a Mabinogion myth - The Tale Of Albanaidd Hir, The Warrior Who Could Turn Into An Ant (ironically, Sam Kriss is probably the single person alive most qualified to do this). Then we showed a dozen real Mabinogion stories plus our fake one to an intelligent, good-taste-having person who had never encountered either story before. Would we expect them to say “Wow, these stories are great - except that one about the ant warrior, that one’s total garbage, just an utterly valueless myth, doesn’t speak to anything in the human spirit at all”?
Inline links: probably the single person alive most qualified to do this
Some Practical Considerations Before Descending Into An Orgy Of Vengeance
July 23, 2024 · Original source
I appreciate the few voices speaking out in favor of principle (eg Librarian of Celaeno), but most favored the vengeance. A sample from my Substack Notes feed:
Inline links: Librarian of Celaeno
I appreciate the few voices speaking out in favor of principle (eg Librarian of Celaeno), but most favored the vengeance. A sample from my Substack Notes feed: Sorry, I don’t know how this one got in there. The most complete response was by Postcards From Barsoom, which recommended Right Wing Cancel Squads.
Inline links: Librarian of Celaeno, https://substackcdn.com/image/fetch/$s_!BZqs!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fe7a65ed7-d5f1-4947-b76b-4865c3bccdd1_602x405.png, https://substackcdn.com/image/fetch/$s_!Egm7!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fcf69df72-bf64-4354-a24e-93cebc805ee5_591x369.png, https://substackcdn.com/image/fetch/$s_!HKLM!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc536a7a3-0a21-4978-8024-221253c4dddd_601x450.png, https://substackcdn.com/image/fetch/$s_!DniT!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F627ea72c-844e-4072-9678-e6830a857e75_579x340.png, https://substackcdn.com/image/fetch/$s_!wxFJ!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F71df5642-5204-468c-acc2-fa08544687d3_607x338.png, https://substackcdn.com/image/fetch/$s_!URl-!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd9e6eea3-5bd3-4193-842d-79ff7c10e709_485x421.png, Postcards From Barsoom, Right Wing Cancel Squads
Sorry, I don’t know how this one got in there. The most complete response was by Postcards From Barsoom, which recommended Right Wing Cancel Squads.
Inline links: https://substackcdn.com/image/fetch/$s_!Egm7!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fcf69df72-bf64-4354-a24e-93cebc805ee5_591x369.png, https://substackcdn.com/image/fetch/$s_!HKLM!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc536a7a3-0a21-4978-8024-221253c4dddd_601x450.png, https://substackcdn.com/image/fetch/$s_!DniT!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F627ea72c-844e-4072-9678-e6830a857e75_579x340.png, https://substackcdn.com/image/fetch/$s_!wxFJ!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F71df5642-5204-468c-acc2-fa08544687d3_607x338.png, https://substackcdn.com/image/fetch/$s_!URl-!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd9e6eea3-5bd3-4193-842d-79ff7c10e709_485x421.png, Postcards From Barsoom, Right Wing Cancel Squads
Substacks2 mentions across 2 issues

Substacks is a recurring publication in the Astral Codex Ten archive, appearing 2 times across 2 issues between January 11, 2023 and July 24, 2024. The archive places it in contexts such as "There are many people writing okay-quality right-wing Substacks"; "List of some top psychiatry Substacks". It most often appears alongside Twitter, 2016, 2016 election.

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Substacks
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2
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2
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January 11, 2023
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July 24, 2024
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Highlights From The Comments On The Media Very Rarely Lying
January 11, 2023 · Original source
So 72% of people agreed that technically true but deliberately misleading things were lies. Could I have saved myself some trouble if I had titled the post “The Media Very Rarely Says False Things”? Or “The Media Very Rarely Makes Up Facts”? I think people would have been equally annoyed that I was using “false things” or “make up facts” in a way that excludes technically-true-but-misleading statements. Someone’s going to argue I should have gone all the way and titled it “The Media Very Rarely Lies, But This Is True Only In The Most Nitpicky Technical Sense Of The World Lie, And In The Normal Sense Of The Word They Definitely Do” - at which point I will remind you that I absolutely did that, I just put the second part in the subtitle instead of the title. If you can’t bring yourself to read the non-bolded gray text, there’s no helping you. 2: Comments Equating Lying With Egregiously Sloppy Reasoning Other people placed a lot of importance on the specific phrasing in the Infowars birth certificate article where it concluded “therefore, the birth certificate is false”. For example, Bakkot: I'm with you on the general point but I think you're being too charitable to InfoWars (and maybe others) in at least some examples. Take the InfoWars birth certificate one: in addition to all the claims about layers and so on, it says "the document is a shoddily contrived hoax". That is a factual claim which is false. They offer support for that claim which isn't actually convincing, and the support they offer happens to be true but out of context, and I'm with you on calling the supporting evidence "not lies". But "the document is a shoddily contrived hoax" is in fact flatly false, and is asserted by the article itself, not just "someone said". This seems wrongheaded to me. Reposting from my own comment there: when I say "Obama's birth certificate is real and not a forgery", I'm not tapping into the Platonic realm and reading the truth directly. I'm saying that I have seen a lot of evidence that makes me think Obama's birth certificate is real and not a forgery, and have inferred the conclusion "it's real and not a forgery" from that. If later it turned out it was a forgery - say there was some amazingly vast conspiracy theory that I completely missed - I wouldn't have been lying when I said the words "Obama's birth certificate is real and not a forgery". I would have been stating the conclusion I had inferred from my facts (which, in this hypothetical, would have been wrong, because I'm bad at reasoning). Jones states his own facts and the conclusion he infers from them. If his conclusion is wrong, the correct term for this wrongness is "failed inference", not "lying". Bakkot is still not happy with this: I don't think you've made a claim with reckless disregard for the truth, whereas I think InfoWars did. I am not at all convinced that InfoWars had a sincere belief that the birth certificate in question was a forgery. I think it is much more likely that they simply didn't care to know the truth of the matter. And I think it's reasonable to say that when someone makes it a false claim without caring whether or not it's true, that's a lie. This is the standard used for defamation in the US ("reckless disregard for the truth" is stock legal phrase), and defamation is usually understood to mean "lying about someone in a harmful way", so I think this is a pretty normal standard. At this point I acknowledge we’re disputing definitions, but I want to stand by mine. I’ve seen, again and again, that people are incapable of understanding that honest disagreement is possible. For example, I wrote about this here in the context of the millions of liberals who insist that conservatives can’t possibly care about fetuses’ lives and anyone who says they does must just be lying about it in order to justify their real program of oppressing women. When someone says “Joe is a liar”, I don’t want to have to ask every time “Do you mean you have some actual evidence for this, or that they said something you disagree with and you instantly leapt to ‘this is reckless disregard for the truth because nobody could ever be so dumb as to honestly disagree with me’?” I think if we let people use the word “lie” this way, then the overwhelming majority of accusations of lying would be false. Why would we want to define a word in a way that dooms it to constantly be used incorrectly to mislead people? I’m kind of sensitive to this because for almost every article I write, people in the comments accuse me of lying, or “pretending” I don’t know why the statements I made are wrong, or some other offense which I plead innocent to. My prior on “a randomly selected egregiously wrong person is lying” is much lower than the sort of people who make these accusations. I think people are just really paranoid about this, and we should use our terms carefully in a way that mitigates this paranoid rather than inflames it. Some of this might be more convincing after you read Part 6 of this post, where I list commenters’ proposed examples of media lies. Eric Newcomer writes: I hope we can all agree that the NYT wouldn't draw such big conclusions from such thin findings. The InfoWars birth certificate article doesn't even really seem internally certain about how PDF layers work. The critique I'm making now falls into the broader "InfoWars is much more egregious in its infractions than the NYT category." But I do think it reveals the slippery line between knowing lies and what one might call "lies of egregious sloppiness." If some serious part of a person knows that they haven't proved what they're claiming but they (or their bosses) insist on claiming that you have proved it, isn't that a form of lying? I’m sorry, but “lies of egregious sloppiness” sounds to me like “physical violence of egregious emotional violence”. Emotional violence and physical violence are both bad. Physical violence probably sounds worse to most people, and so it’s really tempting to, if emotional violence is really bad, say that that makes it a kind of physical violence. But I think that, although this is tempting, it’s false and you shouldn’t do it. I don’t want to say you’re allowed to sound more confident than you are. If you’re 71% confident, and you falsely say you’re 72% confident, then you are lying. But if you are very dumb, and seeing a random piece of toast makes you 100% confident that Obama’s birth certificate is false, and you vomit some random words to that effect onto a page, then you’re an idiot but not a liar. 3: Comments About Whether Infowars Believes Their Own Claims But I guess if you do want to be careful with the definition of the word “lie”, then it becomes important to know whether people at Infowars honestly believe their conspiracy theories or not. I don’t want to defend super-hard the thesis that they do. I’m not sure. If you forced me to guess, I’d say something like for a randomly given Infowars reporter and a randomly selected conspiracy theory they’re reporting on, 40% of the time they think it’s at least plausible enough that they’re doing good work by reporting on it, 20% of the time they know on some level that it’s false and they’re doing something wrong, and 40% of the time they’re in some kind of weird superposition where it seems emotionally true to them and they feel this hard enough that they never get around to asking whether it’s literally true. I’m really not attached to these numbers, but man are a lot of you attached to the claim that they definitely know their theories are false and are consciously lying. My main argument against this is that millions of people believe conspiracy theories - if they didn’t, we wouldn’t care so much about them! - and why shouldn’t some of those people work at Infowars? It would be quite a weird system for the conspiracy ecosystem to be run by an elite who secretly know they’re false, serving up fables to a base who believe them completely. How would you prevent some of the believers from rising into the elite? It would almost take a conspiracy of its own! Eric Newcomer has a more convincing counterargument than I expected: As an aside, I have personally worked at the NYT newsroom (reporting fellow) and at conservative outlet Washington Examiner. And I found the latter to be much sloppier and less worried about thinking through the impression it gave from facts. The Examiner would headline any big budget deficit number etc on my beat whereas the NYT had very detailed copy editors who would spot factual assertions in my copy that I didn't even consider I was making and push back on them. On InfoWars, it seems naive to presume that the outlet pushing the most misleading stories (InfoWars) is acting in good faith rather than just supplying readers with what they want. I get the point (one that Noam Chomsky has made) that outlets can just hire the bias that they want. But I actually think it's fairly hard to staff up true believers who can write and report credibly for conspiracy and super rightwing type stuff -- hence why a bunch of liberals like myself found themselves out of college writing for the local section of the Washington Examiner before it was killed. I find that on an intuitive level, I’m not too surprised to learn this - most journalists seem liberal, it would make sense that conservative papers couldn’t entirely escape this effect. On a more napkin-math level, I’m boggled - isn’t this embarrassing for the Examiner (and the journalists involved?) Wouldn’t they spend a lot of effort avoiding it? In a country with 100 million conservatives, is it really that hard to find a handful of them capable of writing news articles? There are many people writing okay-quality right-wing Substacks that get like five views per article. Are they doing this for the (nonexistent) money, without believing in the cause? If not, why couldn’t these people have been Washington Examiner reporters? Or InfoWarriors? I think Richard Hanania has a theory that a lot of liberals’ political advantage comes from a culture where they are happy to work themselves ragged for minimal compensation as long as it seems like like an impressive job they won’t be embarrassed to tell their friends and family about - ie intellectual college-degree-requiring labor. Maybe this is what the Examiner is taking advantage of? I don’t know. I don’t know what kind of ethical principles Eric considered when he decided to work for the Examiner, but I bet he wouldn’t have agreed to work for Infowars even if they paid him much more money. This should also factor into our calculations about whether Infowars is being staffed by Eric-equivalents. Human writes: There is at least one former infowars employee who alleges that their stories are (at least often) known to be false. The most clear-cut example I can quickly find is here: "Shortly after Jones began selling the supplements, someone posted a video on YouTube holding a Geiger counter displaying high radiation readings on a beach in Half Moon Bay, Calif. The video went viral, stoking fears that radiation from Fukushima was drifting across the Pacific Ocean. Jones saw an opportunity and sent me, along with a reporter, a writer and another cameraman, to California. We had multiple Geiger counters shipped overnight, unaware of how to read or work them, and drove up the West Coast, frequently stopping to check radiation levels. Other than a small spike in Half Moon Bay — which the California Department of Public Health said was from naturally occurring radioactive materials, not Fukushima — we found nothing. "Jones was furious. We started getting calls from the radio-show producers in the office, warning us to stop posting videos to YouTube stating we weren’t finding elevated levels of radiation. We couldn’t just stop, though; Jones demanded constant real-time content. On some of these calls, I could hear Jones screaming in the background." See also here for a discussion of Jones admitting he was lying about Sandy Hook during the lawsuit. 4: Comments On Why 8% Of Americans Said They Had Relatives Who Died From The COVID Vaccine Many people, including me, were confused by a poll in which 8% of Americans said they had a relative who died from the COVID vaccine. I speculated that maybe they were reading too quickly and misinterpreted it as “a relative who got the COVID vaccine”. But Tytonidaen wrote: I think a more likely explanation is that many people are choosing to attribute deaths to the vaccine that are not actually from the vaccine. For example, let's say Person A gets vaccinated and dies shortly after of some completely unrelated cause. And let's say Person B, the loved one being polled, has priors about vaccines or the medical establishment or whatever that cause them to be convinced it was actually the vaccine that killed Person A. In hypothetical reality, Person A lived a rather unhealthy lifestyle, had lots of risk factors for a heart attack, and would have died from a heart attack, regardless of whether they'd gotten the vaccine. Then, when Person A does, indeed, die of a heart attack, and by sheer coincidence had recently gotten vaccinated, Person B blames the COVID vaccine when polled, but it wasn't really the vaccine that killed their loved one. It might be easier to believe that outside forces (like a vaccine) harmed the person than to believe that the loved one's own actions did (like a poor lifestyle, not taking their meds, etc.). That's only one example, but I think the underlying dynamic could easily explain the poll results. None Of The Above wrote: In general, it seems like when you ask a factual question with partisan/CW valence on a poll, and the respondents don't know much about the factual question, they answer the "whose side are you on" question instead. That is, if you ask Republican-voting biologists, they'll nearly all tell you the Theory of Evolution is basically how living stuff came to be, but if you ask Republican-voting normies whose vaguely-remembered high school biology class may have mentioned Darwin a few times, they'll answer that evolution is a lie--they don't really know one way or another, they're just answering the "whose side are you on" question. Democratic normies will far more often tell you evolution is true, but probably could do little better in explaining why than the Republican normies could in explaining why evolution is really an atheist lie of some kind. Zack wrote: I took a time-boxed peek at the Pollfish data. The 1500 results were splint into 3 batches of 500. I arbitrarily selected the Jul 4 file to look at. In that file, there were 36 respondents who reported a household member had died from he vaccine. Focusing on those responses, I noticed a few interesting patterns. Of those 36 respondents, 10 responded "Yes" to both the question about death of a household member from COVID and death of a household member from the vaccine. I'm skeptical that 10 out of 500 people were unfortunate enough to have 2 household members die: one from COVID and one from the vaccine. (Especially because these are not large households; 4 of these 10 report that they have 1 other household member, and 5 of these 10 report having 2-4 other household members.) Of these 36 respondents, 20 responded "Yes" to both the question about death of a household member from the vaccine and "Are you planning on getting future COVID vaccines?" I'm skeptical that 55% of people who had a household member die of a vaccine would plan to get the vaccine themselves. Of these 36 respondents, there are even 4 who experienced a surprising number of adverse affects from the vaccine (Myocarditis, Pericarditis, AND Bell's Palsy ) requiring hospitalization in addition to having a household member die from the vaccine. Of these 4, 2 selected all of the following: "It will likely shorten my lifespan", "I am now unable to hold a job", "I am now unable to work a full day", "It impacts my personal life", "It is a minor annoyance". Those two are planning to get the vaccine again. There's some overlap between these respondents. Ignoring all of them drops from 36 who had a household member die of the vaccine to 12. I don't see obvious inconsistencies in these responses. However, there seems to be a broader issue with the survey design. They look at average time to complete each question, but average doesn't seem like the right measure here (3 people took 10+ minutes to answer; summed, the fastest 250 responses took about as long as those slowest 3). Of the 500 responses, most people seem to answer 7-10 questions. I timed myself just reading those questions silently in my head (not thinking about the answers). Of three attempts, my fastest was a bit over 17 seconds. 40 people completed the survey in 17 seconds or less. I'm skeptical it's possible for someone to provide a quality response to the survey that quickly. 225 people (nearly half) completed the survey in less than 31 seconds. I think that's the fastest I could answer if I were seeing the questions for the first time. It seems like Pollfish's model may encourage hasty, poor quality responses; "Pollfish uses non-monetary incentives like an extra life in a game or access to premium content." (https://resources.pollfish.com/pollfish-school/how-the-pollfish-methodology-works/) It seems like that creates a misalignment of incentives; the respondent is in a hurry to get back to whatever they were doing. They provide survey fraud protection, and claim it filters suspiciously quick or suspiciously consistent answers (e.g., the same answer for all questions), but it seems to be overlooking obviously problematic responses in this case. (https://resources.pollfish.com/pollfish-school/how-pollfish-prevents-fraudulent-responses/) This bothered me enough that I emergency-edited the ACX Survey partway through to include (slightly differently phrased variants of) the two questions on the poll: Did anyone in your family (as per your best guess) die of COVID?
Inline links: https://substackcdn.com/image/fetch/$s_!0sXa!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F8dd54487-ff00-407a-b7f7-ccc96bde115a_731x141.png, For example, Bakkot, here, writes, has a more convincing counterargument, writes, here, here, a poll in which, wrote, wrote, wrote, https://resources.pollfish.com/pollfish-school/how-the-pollfish-methodology-works/, https://resources.pollfish.com/pollfish-school/how-pollfish-prevents-fraudulent-responses/
Links for July 2024
July 24, 2024 · Original source
33: List of some top psychiatry Substacks.
Inline links: List of some top psychiatry Substacks.
Sachs review1 mentions across 1 issues

Sachs review is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 25, 2023 and August 25, 2023. The archive places it in contexts such as "If you are interested, the Sachs review and rejoinder". It most often appears alongside 5G, Acemoglu and Robinson, ACX comments.

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Sachs review
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Your Book Review: Why Nations Fail
August 25, 2023 · Original source
Of course, many other people have estimated different models with different results. The potential variations are almost infinite, with corresponding room for specification searching and p-hacking: different dependent, control and instrumental variables, different data for the same variables, growth rates instead of levels, etc. I won't pretend to have any special insight into this – AR haven’t had to retract and are still in Nobel contention, but the critics are still active. If you are interested, the Sachs review and rejoinder, and these ACX comments, are as good a place to start as any.
Inline links: p-hacking, Nobel contention, active, rejoinder, comments
Sacramento Bee1 mentions across 1 issues

Sacramento Bee is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 21, 2022 and September 21, 2022. The archive places it in contexts such as "This one from Sacramento Bee is the closest I could find". It most often appears alongside 1995 to 2000, Arizona, Atonio Avalos.

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Why Is The Central Valley So Bad?
September 21, 2022 · Original source
You might notice it has a big valley in the center. This is called “The Central Valley”. Sometimes it also gets called the San Joaquin Valley in the south, or the the Sacramento Valley in the north. The Central Valley is mostly farms - a little piece of the Midwest in the middle of California. If the Midwest is flyover country, the Central Valley is drive-through country, with most Californians experiencing it only on their way between LA and SF. Most, myself included, drive through as fast as possible. With a few provisional exceptions - Sacramento, Davis, some areas further north - the Central Valley is terrible. It’s not just the temperatures, which can reach 110°F (43°C) in the summer. Or the air pollution, which by all accounts is at crisis level. Or the smell, which I assume is fertilizer or cattle-related. It’s the cities and people and the whole situation. A short drive through is enough to notice poverty, decay, and homeless camps worse even than the rest of California. But I didn’t realize how bad it was until reading this piece on the San Joaquin River. It claims that if the Central Valley were its own state, it would be the poorest in America, even worse than Mississippi. This was kind of shocking. I always think of Mississippi as bad because of a history of racial violence, racial segregation, and getting burned down during the Civil War. But the Central Valley has none of those things, plus it has extremely fertile farmland, plus it’s in one of the richest states of the country and should at least get good subsidies and infrastructure. How did it get so bad? II. First of all, is this claim true? I can’t find official per capita income statistics for the Central Valley, separate from the rest of California, but you can find all the individual counties here. When you look at the ones in the Central Valley, you get a median per capita income of $21,729 (this is binned by counties, which might confuse things, but by good luck there are as many people in counties above the median-income county as below it, so probably not by very much). This is indeed lower than Mississippi’s per capita income of $25,444, although if you look by household or family income, the Central Valley does better again. I looked for photos of the Central Valley to illustrate this article, but none of them were quite as I remember it. This one from Sacramento Bee is the closest I could find. But imagine it through a layer of haze, and also you can’t see well because you are in the process of dying from heatstroke. Of large Central Valley cities, Sacramento has a median income of $33,565 (but it’s the state capital, which inflates it with politicians and lobbyists), Fresno of $25,738, and Bakersfield of $30,144. Compare to Mississippi, where the state capital of Jackson has $23,714, and numbers 2 and 3 cities Gulfport and Southhaven have $25,074 and $34,237. Overall Missisippi comes out worse here, and none of these seem horrible compared to eg Phoenix with $31,821. Given these numbers (from Google), urban salaries in the Central Valley don’t seem so bad. But when instead I look directly at this list of 280 US metropolitan areas by per capita income, numbers are much lower. Bakersfield at $15,760 is 260th/280, Fresno is 267th, and only Sacramento does okay at 22nd. Mississippi cities come in at 146, 202, and 251. Maybe the difference is because Google’s data is city proper and the list is metro area? Still, it seems fair to say that the Central Valley is at least somewhat in the same league as Mississippi, even though exactly who outscores whom is inconsistent. III. What do the people who live in the Valley think went wrong? What The Hell Is Wrong With California’s Central Valley?, starting around 9:30, interviews a local conservative realtor (most people in the Valley are conservative; I haven’t found a liberal equivalent). He says that the farms in the Central Valley used to be manned by migrant workers, who would come from Mexico, work for a season, then go back to Mexico and live off their earnings for the rest of the year. Later, policies shifted to welcoming them and granting them citizenship, so many of them came over and brought their families. But around the same time there was a drought, the farm industry crashed, the remaining farms mechanized, all the immigrants were left without work, they got on welfare, and they weren’t able to get off of it. He doesn’t say exactly when this happened, but he says times were good when he was a child, and he looks like he’s in his 30s or 40s. So if he’s 35 and things started going bad when he was 10, that would mean he thinks things started going bad around 1995 to 2000. Here’s a story in the LA Times from 1999, which talks about how things are starting to get bad. It admits that Californians like to poke fun at the Central Valley, but it seems to be just that - poking fun - and not freaking out about poverty and dysfunction the way articles about the Valley do now. But it ends by saying that things are getting worse: To be honest, living in the Central Valley takes some getting used to, especially if you’re from the coast. It’s an acquired taste. Oppressive heat in summer. Depressing tule fog in winter. Sure, fall and spring are OK. But where aren’t they? First-rate culture is scarce. The state capital doesn’t even have a symphony. One of the attractions--it’s almost a local joke--is the ability to get away, particularly from Sacramento. It’s 90 minutes to San Francisco in one direction, or skiing in another; two hours-plus to the ocean or Tahoe […] Still, earthquakes aren’t a menace to most people. And it doesn’t take long before you begin to appreciate certain benefits--indeed, to understand that some Central Valley burgs, especially the capital, are among California’s best kept secrets. Or, at least, they have been. Continuing: When I moved here nearly 40 years ago--the first of three times--summer skies were blue and the stars bright. Fishing was easy in the rivers and pheasant hunting was 10 minutes from town--in fact, where I now live. All this good life, however, has been changing. Sacramento is now the sixth smoggiest area in the country. A gloomy, beige pall greets motorists as they descend from the Sierra. Even worse is the San Joaquin Valley, from Stockton to Bakersfield. It’s rated the nation’s fourth smoggiest region […] And this brings us to the root problem: a population explosion, fed notably by commuters spilling over the Grapevine from L.A. into Bakersfield, and from the Bay Area into the northern San Joaquin Valley, turning farms into houses and freeways into parking lots. In Sacramento, high-tech industry is generating jobs and sprawl. Up and down the valley, people without job skills are having babies and going on welfare. Many are immigrants from Mexico and Southeast Asia. “The population is growing at a faster pace than the economy,” notes Dan Whitehurst, a former Fresno mayor who is running again. “Livability is becoming more of an issue. But the biggest issue still is jobs.” That’s because, aside from Sacramento, the Central Valley has not cashed in on California’s economic boom. Unemployment in the San Joaquin Valley is roughly double the state average. It’s smoggy. Traffic’s getting worse. Farms are disappearing. There aren’t enough jobs. And, says pollster Mark Baldassare, people are “myopic” about their plight. It finishes: “We have a huge problem. ‘No way L.A.’ has been our slogan. But if we build nonstop houses, we’ll be worse than L.A. because we’ll have destroyed our [farm] economic base. . . . There’s no regional leadership. More state officials need to decide this area matters and poke their heads up out of the fog.” The fog and the smog. If not, one day there’ll be no getting used to the place. This is a weird article. It seems to confirm that things used to be better - nobody would call the Central Valley “the good life” now. But its concerns are smog, sprawl, and decreasing share of agriculture. These seem like the problems of somewhere that’s growing - local NIMBYs complaining that too many people want to move in. Today the problem is more that everyone in the Central Valley wants to leave. The piece sort of touches on poverty - “people without job skills are having babies and going on welfare” and “the population is growing at a faster pace than the economy” - but it’s still a weird emphasis, and one that makes me think of this as supporting the “problems were starting in the 90s” view. But by 2012, things were clearly very bad - here’s an article about how Census Shows Central Valley Areas Among Poorest In Nation. It says: Experts say the poverty problem in the nation’s agricultural powerhouse is deeply ingrained. The most important barrier is the valley’s lack of economic diversity. There are simply too few good nonagricultural jobs around and jobs in agriculture tend to be low-wage ones — except for those who run agribusinesses. “It’s a pretty ag-heavy region, so the inequality of wages and the opportunity to earn better wages is really skewed,” said Caroline Farrell, executive director of the Delano-based Center on Race, Poverty & the Environment. “If you own a farm, you’re apt to earn more wealth, while if you’re a farmworker, don’t earn very much.” The valley has not been able to bring or retain many new companies partly because it lacks a qualified workforce, said Atonio Avalos, associate professor of economics at Fresno State University. “We have an issue of skills mismatch,” Avalos said. “Companies may be offering jobs, but the skills of people in the valley are not ones they are looking for.” Students who want to get a college degree face many barriers, he said, and public funding for education is being slashed. Those who do graduate leave to find jobs elsewhere. The valley also doesn’t offer attractive amenities and has serious problems such as air pollution that have gone unaddressed. “If you’re a doctor or engineer, there are other places where you can make good money and live in better conditions,” Avalos said. “Many people don’t come here or leave because of the high incidence of asthma and other respiratory problems.” This sounds like things were already pretty bad in 2012, maybe bad enough that they must have been getting worse for longer than 10 or 15 years, I don’t know. IV. What do the data say? Here are some economic time series. I couldn’t find any good long-term ones; the least bad one comes from this unsourced report: Here it looks like things got worse from 1975 - 1985, and then depending on county there was a slower-to-imperceptible decline thereafter. FRED only has data since 1989, but agrees that things haven’t gotten worse since then. Here’s unemployment: Is this just because people got discouraged (or on welfare) and stopped seeking employment, and so stopped showing up in the statistics? Here’s a graph of Total Employed Persons: In 1990, 303,000 people were employed out of a population of 354,000. In 2022, 430,000 people were employed out of a population of 542,000. So labor participation rate went from 86% to 79%. But national labor force participation decreased by about the same amount during that time, so I don’t think we should overemphasize that. And here are some other graphs I found useful: Fresno housing prices: Racial demographics: Source: Wikipedia. Central Valley cities like Fresno and Bakersfield aren’t really more Hispanic than other parts of California or Arizona, so if immigration or racial issues played a part it must have been more complicated than just numbers. Number of immigrants in California over time: Factors of productivity in agriculture: V. So why is the Central Valley so bad? It’s an agricultural region, but lots of places are agricultural. It got lots of immigrants, but no more than many other places. It’s polluted - but so was LA, and LA rebounded. This is just a weak guess, but I think it starts with their crops. The Midwest grows mostly corn and wheat. The Central Valley is more fruits, vegetables, and nuts. Corn and wheat are easier to harvest, so middle-class farmers can own the farm and buy a mechanical harvester or something. Fruits, vegetables, and nuts benefit from intensive manual picking, so farm owners hire outside labor. According to Carolina Demography: There are about 3 million farmworkers in the United States: about two million are family farmworkers and another one million are hired farmworkers…nationally, about three-fourths of hired farmworkers are foreign-born; most (69%) were born in Mexico; 6% were born in Central America; and 1% were born in another country. Given that these are mostly Mexican immigrants, we’re probably not talking about people who are hired to grow corn in Kansas. I think plausibly the majority of US hired farmworkers live in California’s Central Valley. This makes it a sort of plantation agriculture system, which naturally tends towards landowners taking all the gains and workers ending up as an underclass. In the mid-20th century, the local plantation underclass was made of Okies (cf. The Grapes of Wrath). In the later 20th century, many immigrants moved in, lowering wages. Although immigrants don’t usually lower wages, this is because there are usually lots of industries for people to branch out into, but the Central Valley only has agriculture. Also, agribusinesses were becoming better at mechanizing their operations. Although technology doesn’t usually lower wages, again, this requires lots of diverse industries, and the Central Valley only had agriculture. All of this corresponds to the 1975-1985 period on the graphs where wages were going down. But it sounded from some of the testimonials above like the Central Valley didn’t become truly miserable until the late 90s. I’m not sure why this is. It could be the immigrants switching from being migrant laborers to raising families, and those families were impacted by poverty and inequality in a way the original migrants weren’t. It could be worsening drug problems as new drugs get invented and go down in price. (I’m not sure if NIMBYism and rising house prices also played a part. House prices do seem to have risen, a lot, but I was under the impression that building things in the Central Valley was easy and most of a house’s price there is construction rather than land. I’m not sure why house prices would have gone up so much since 1990 if this were true, though.) Other things that the articles I read emphasized: There’s a severe drought in the Central Valley right now. This is probably partly climate change, partly bad luck, and partly California diverting water to hydrate growing coastal cities. This has made everything worse (but then why isn’t that reflected in worsening economic statistics?)
Inline links: by all accounts, this piece on the San Joaquin River, here, https://substackcdn.com/image/fetch/$s_!dctN!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F3c613382-ec3d-421a-b13b-5fee75594959_1280x720.jpeg, Sacramento Bee, from Google, list of 280 US metropolitan areas by per capita income, What The Hell Is Wrong With California’s Central Valley, Here’s a story, Census Shows Central Valley Areas Among Poorest In Nation, this unsourced report, https://substackcdn.com/image/fetch/$s_!viUA!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F3cb60f00-5048-44dc-8ad3-49d9036437e8_632x382.png, https://substackcdn.com/image/fetch/$s_!jJHH!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Faf442355-432b-4ac1-b10d-2ebf17011084_1151x345.png, https://substackcdn.com/image/fetch/$s_!oETP!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F1fe3e7f8-9e13-4295-b608-d071425d6adc_1116x300.png, decreased by about the same amount, https://substackcdn.com/image/fetch/$s_!is_P!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F09af8185-c8cf-4879-999c-4643ec7d7079_989x590.png, https://substackcdn.com/image/fetch/$s_!K8wW!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F6ce47fbd-0a84-4461-a96c-07a2d8130d4e_412x104.png, https://substackcdn.com/image/fetch/$s_!Vvxn!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fe95d035a-8dea-410c-8b8f-19acb145859e_676x356.png, https://substackcdn.com/image/fetch/$s_!xlsr!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F36965205-4cb9-4f93-b855-91cc6b9047b5_450x397.png, Carolina Demography, Okies
I looked for photos of the Central Valley to illustrate this article, but none of them were quite as I remember it. This one from Sacramento Bee is the closest I could find. But imagine it through a layer of haze, and also you can’t see well because you are in the process of dying from heatstroke. Of large Central Valley cities, Sacramento has a median income of $33,565 (but it’s the state capital, which inflates it with politicians and lobbyists), Fresno of $25,738, and Bakersfield of $30,144. Compare to Mississippi, where the state capital of Jackson has $23,714, and numbers 2 and 3 cities Gulfport and Southhaven have $25,074 and $34,237. Overall Missisippi comes out worse here, and none of these seem horrible compared to eg Phoenix with $31,821. Given these numbers (from Google), urban salaries in the Central Valley don’t seem so bad. But when instead I look directly at this list of 280 US metropolitan areas by per capita income, numbers are much lower. Bakersfield at $15,760 is 260th/280, Fresno is 267th, and only Sacramento does okay at 22nd. Mississippi cities come in at 146, 202, and 251. Maybe the difference is because Google’s data is city proper and the list is metro area? Still, it seems fair to say that the Central Valley is at least somewhat in the same league as Mississippi, even though exactly who outscores whom is inconsistent. III. What do the people who live in the Valley think went wrong? What The Hell Is Wrong With California’s Central Valley?, starting around 9:30, interviews a local conservative realtor (most people in the Valley are conservative; I haven’t found a liberal equivalent). He says that the farms in the Central Valley used to be manned by migrant workers, who would come from Mexico, work for a season, then go back to Mexico and live off their earnings for the rest of the year. Later, policies shifted to welcoming them and granting them citizenship, so many of them came over and brought their families. But around the same time there was a drought, the farm industry crashed, the remaining farms mechanized, all the immigrants were left without work, they got on welfare, and they weren’t able to get off of it. He doesn’t say exactly when this happened, but he says times were good when he was a child, and he looks like he’s in his 30s or 40s. So if he’s 35 and things started going bad when he was 10, that would mean he thinks things started going bad around 1995 to 2000. Here’s a story in the LA Times from 1999, which talks about how things are starting to get bad. It admits that Californians like to poke fun at the Central Valley, but it seems to be just that - poking fun - and not freaking out about poverty and dysfunction the way articles about the Valley do now. But it ends by saying that things are getting worse: To be honest, living in the Central Valley takes some getting used to, especially if you’re from the coast. It’s an acquired taste. Oppressive heat in summer. Depressing tule fog in winter. Sure, fall and spring are OK. But where aren’t they? First-rate culture is scarce. The state capital doesn’t even have a symphony. One of the attractions--it’s almost a local joke--is the ability to get away, particularly from Sacramento. It’s 90 minutes to San Francisco in one direction, or skiing in another; two hours-plus to the ocean or Tahoe […] Still, earthquakes aren’t a menace to most people. And it doesn’t take long before you begin to appreciate certain benefits--indeed, to understand that some Central Valley burgs, especially the capital, are among California’s best kept secrets. Or, at least, they have been. Continuing: When I moved here nearly 40 years ago--the first of three times--summer skies were blue and the stars bright. Fishing was easy in the rivers and pheasant hunting was 10 minutes from town--in fact, where I now live. All this good life, however, has been changing. Sacramento is now the sixth smoggiest area in the country. A gloomy, beige pall greets motorists as they descend from the Sierra. Even worse is the San Joaquin Valley, from Stockton to Bakersfield. It’s rated the nation’s fourth smoggiest region […] And this brings us to the root problem: a population explosion, fed notably by commuters spilling over the Grapevine from L.A. into Bakersfield, and from the Bay Area into the northern San Joaquin Valley, turning farms into houses and freeways into parking lots. In Sacramento, high-tech industry is generating jobs and sprawl. Up and down the valley, people without job skills are having babies and going on welfare. Many are immigrants from Mexico and Southeast Asia. “The population is growing at a faster pace than the economy,” notes Dan Whitehurst, a former Fresno mayor who is running again. “Livability is becoming more of an issue. But the biggest issue still is jobs.” That’s because, aside from Sacramento, the Central Valley has not cashed in on California’s economic boom. Unemployment in the San Joaquin Valley is roughly double the state average. It’s smoggy. Traffic’s getting worse. Farms are disappearing. There aren’t enough jobs. And, says pollster Mark Baldassare, people are “myopic” about their plight. It finishes: “We have a huge problem. ‘No way L.A.’ has been our slogan. But if we build nonstop houses, we’ll be worse than L.A. because we’ll have destroyed our [farm] economic base. . . . There’s no regional leadership. More state officials need to decide this area matters and poke their heads up out of the fog.” The fog and the smog. If not, one day there’ll be no getting used to the place. This is a weird article. It seems to confirm that things used to be better - nobody would call the Central Valley “the good life” now. But its concerns are smog, sprawl, and decreasing share of agriculture. These seem like the problems of somewhere that’s growing - local NIMBYs complaining that too many people want to move in. Today the problem is more that everyone in the Central Valley wants to leave. The piece sort of touches on poverty - “people without job skills are having babies and going on welfare” and “the population is growing at a faster pace than the economy” - but it’s still a weird emphasis, and one that makes me think of this as supporting the “problems were starting in the 90s” view. But by 2012, things were clearly very bad - here’s an article about how Census Shows Central Valley Areas Among Poorest In Nation. It says: Experts say the poverty problem in the nation’s agricultural powerhouse is deeply ingrained. The most important barrier is the valley’s lack of economic diversity. There are simply too few good nonagricultural jobs around and jobs in agriculture tend to be low-wage ones — except for those who run agribusinesses. “It’s a pretty ag-heavy region, so the inequality of wages and the opportunity to earn better wages is really skewed,” said Caroline Farrell, executive director of the Delano-based Center on Race, Poverty & the Environment. “If you own a farm, you’re apt to earn more wealth, while if you’re a farmworker, don’t earn very much.” The valley has not been able to bring or retain many new companies partly because it lacks a qualified workforce, said Atonio Avalos, associate professor of economics at Fresno State University. “We have an issue of skills mismatch,” Avalos said. “Companies may be offering jobs, but the skills of people in the valley are not ones they are looking for.” Students who want to get a college degree face many barriers, he said, and public funding for education is being slashed. Those who do graduate leave to find jobs elsewhere. The valley also doesn’t offer attractive amenities and has serious problems such as air pollution that have gone unaddressed. “If you’re a doctor or engineer, there are other places where you can make good money and live in better conditions,” Avalos said. “Many people don’t come here or leave because of the high incidence of asthma and other respiratory problems.” This sounds like things were already pretty bad in 2012, maybe bad enough that they must have been getting worse for longer than 10 or 15 years, I don’t know. IV. What do the data say? Here are some economic time series. I couldn’t find any good long-term ones; the least bad one comes from this unsourced report: Here it looks like things got worse from 1975 - 1985, and then depending on county there was a slower-to-imperceptible decline thereafter. FRED only has data since 1989, but agrees that things haven’t gotten worse since then. Here’s unemployment: Is this just because people got discouraged (or on welfare) and stopped seeking employment, and so stopped showing up in the statistics? Here’s a graph of Total Employed Persons: In 1990, 303,000 people were employed out of a population of 354,000. In 2022, 430,000 people were employed out of a population of 542,000. So labor participation rate went from 86% to 79%. But national labor force participation decreased by about the same amount during that time, so I don’t think we should overemphasize that. And here are some other graphs I found useful: Fresno housing prices: Racial demographics: Source: Wikipedia. Central Valley cities like Fresno and Bakersfield aren’t really more Hispanic than other parts of California or Arizona, so if immigration or racial issues played a part it must have been more complicated than just numbers. Number of immigrants in California over time: Factors of productivity in agriculture: V. So why is the Central Valley so bad? It’s an agricultural region, but lots of places are agricultural. It got lots of immigrants, but no more than many other places. It’s polluted - but so was LA, and LA rebounded. This is just a weak guess, but I think it starts with their crops. The Midwest grows mostly corn and wheat. The Central Valley is more fruits, vegetables, and nuts. Corn and wheat are easier to harvest, so middle-class farmers can own the farm and buy a mechanical harvester or something. Fruits, vegetables, and nuts benefit from intensive manual picking, so farm owners hire outside labor. According to Carolina Demography: There are about 3 million farmworkers in the United States: about two million are family farmworkers and another one million are hired farmworkers…nationally, about three-fourths of hired farmworkers are foreign-born; most (69%) were born in Mexico; 6% were born in Central America; and 1% were born in another country. Given that these are mostly Mexican immigrants, we’re probably not talking about people who are hired to grow corn in Kansas. I think plausibly the majority of US hired farmworkers live in California’s Central Valley. This makes it a sort of plantation agriculture system, which naturally tends towards landowners taking all the gains and workers ending up as an underclass. In the mid-20th century, the local plantation underclass was made of Okies (cf. The Grapes of Wrath). In the later 20th century, many immigrants moved in, lowering wages. Although immigrants don’t usually lower wages, this is because there are usually lots of industries for people to branch out into, but the Central Valley only has agriculture. Also, agribusinesses were becoming better at mechanizing their operations. Although technology doesn’t usually lower wages, again, this requires lots of diverse industries, and the Central Valley only had agriculture. All of this corresponds to the 1975-1985 period on the graphs where wages were going down. But it sounded from some of the testimonials above like the Central Valley didn’t become truly miserable until the late 90s. I’m not sure why this is. It could be the immigrants switching from being migrant laborers to raising families, and those families were impacted by poverty and inequality in a way the original migrants weren’t. It could be worsening drug problems as new drugs get invented and go down in price. (I’m not sure if NIMBYism and rising house prices also played a part. House prices do seem to have risen, a lot, but I was under the impression that building things in the Central Valley was easy and most of a house’s price there is construction rather than land. I’m not sure why house prices would have gone up so much since 1990 if this were true, though.) Other things that the articles I read emphasized: There’s a severe drought in the Central Valley right now. This is probably partly climate change, partly bad luck, and partly California diverting water to hydrate growing coastal cities. This has made everything worse (but then why isn’t that reflected in worsening economic statistics?)
Inline links: Sacramento Bee, from Google, list of 280 US metropolitan areas by per capita income, What The Hell Is Wrong With California’s Central Valley, Here’s a story, Census Shows Central Valley Areas Among Poorest In Nation, this unsourced report, https://substackcdn.com/image/fetch/$s_!viUA!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F3cb60f00-5048-44dc-8ad3-49d9036437e8_632x382.png, https://substackcdn.com/image/fetch/$s_!jJHH!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Faf442355-432b-4ac1-b10d-2ebf17011084_1151x345.png, https://substackcdn.com/image/fetch/$s_!oETP!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F1fe3e7f8-9e13-4295-b608-d071425d6adc_1116x300.png, decreased by about the same amount, https://substackcdn.com/image/fetch/$s_!is_P!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F09af8185-c8cf-4879-999c-4643ec7d7079_989x590.png, https://substackcdn.com/image/fetch/$s_!K8wW!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F6ce47fbd-0a84-4461-a96c-07a2d8130d4e_412x104.png, https://substackcdn.com/image/fetch/$s_!Vvxn!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fe95d035a-8dea-410c-8b8f-19acb145859e_676x356.png, https://substackcdn.com/image/fetch/$s_!xlsr!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F36965205-4cb9-4f93-b855-91cc6b9047b5_450x397.png, Carolina Demography, Okies
Sadly Porn1 mentions across 1 issues

Sadly Porn is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 09, 2023 and February 09, 2023. The archive places it in contexts such as "yes, I have read Sadly Porn". It most often appears alongside @moritheil, ACX Prediction Contest, Adam Tooze.

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Links For February 2023
February 09, 2023 · Original source
Here’s someone who isn’t an exploitative business tycoon, donating to as normal and popular a cause as could be imagined, and people are still finding insane reasons to hate it. I maintain that whether or not there are good reasons to be opposed to charity, there also seems to be some deeper wellspring where people just hate the idea that other people are allowed to make the world better. If someone else helps other people, they’re acting like a tall poppy and need to be hurt and brought back down to everyone else’s level in order to protect my own self-worth (yes, I have read Sadly Porn). This shouldn’t make us numb to any arguments that any kind of charitable giving might be wrong, but it’s a bias we need to watch out for, maybe.
Inline links: Sadly Porn, maybe
Sam Harris podcast1 mentions across 1 issues

Sam Harris podcast is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 30, 2022 and July 30, 2022. The archive places it in contexts such as "This is a great episode of the Sam Harris podcast with Rob Reid". It most often appears alongside 1950s influenza strain, 1977 influenza pandemic, 1992 scientific investigation.

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Your Book Review: Viral
July 30, 2022 · Original source
This is a great episode of the Sam Harris podcast with Rob Reid on gain of function virology research as a possible existential risk. The episode isn’t about COVID and doesn’t take a position on the pandemic’s origins either way. Scary and important episode.
Inline links: This is a great episode of the Sam Harris podcast
Samyutta Nikaya1 mentions across 1 issues

Samyutta Nikaya is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 29, 2021 and October 29, 2021. The archive places it in contexts such as "a bhikkhu enters and dwells in the first jhāna... (Samyutta Nikaya)". It most often appears alongside Andrés, Andrés Gómez Emilsson, Buddha.

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Jhanas and the Dark Room Problem
October 29, 2021 · Original source
Secluded from sensual pleasures, secluded from unwholesome states, a bhikkhu enters and dwells in the first jhāna, which is accompanied by thought and examination, with rapture and happiness born of seclusion (Samyutta Nikaya)
San Diego Tribune1 mentions across 1 issues

San Diego Tribune is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 04, 2022 and November 04, 2022. The archive places it in contexts such as "with the San Diego Tribune criticizing him". It most often appears alongside ABSTAIN, Alex Padilla, American Nurses Association.

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My California Ballot 2022
November 04, 2022 · Original source
Jack Guerrero is an accountant and former mayor who supposedly did a good job fixing the budget in his small town. But he is also a Trump supporter who challenged the 2020 election. He has alienated people by criticizing the current system in terms that some people find overly strong, with the San Diego Tribune criticizing him for saying that "poor spending decisions in Sacramento are akin to 'corruption' and 'subversion'". Apparently saying that some California state officials might be corrupt - while running against a corrupt California state official - is a step too far.
Inline links: also
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San Jose Mercury is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 04, 2022 and November 04, 2022. The archive places it in contexts such as "Chen has endorsements from ... the San Jose Mercury"; "Chen has endorsements from ... the San Jose Mercury". It most often appears alongside ABSTAIN, Alex Padilla, American Nurses Association.

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My California Ballot 2022
November 04, 2022 · Original source
Somehow Chen has endorsements from the LA Times, the San Francisco Chronicle, and the San Jose Mercury. I don’t know if this many California papers have ever endorsed a Republican before. They all just say it would be nice to have some fresh faces in government who aren’t associated with the established power structure, which is true but would be equally true for a thousand other positions. I wonder if Cohen did something to piss off the Democratic establishment or something. In any case, if I’m going to try to vote for Republicans occasionally, now is the time.
Sanhedrin 108b1 mentions across 1 issues

Sanhedrin 108b is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 22, 2023 and December 22, 2023. The archive places it in contexts such as "masturbation helped cause Noah’s Flood (really! Sanhedrin 108b!)". It most often appears alongside ACX, Alexey Guzey, America.

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In The Long Run, We're All Dad
December 22, 2023 · Original source
Modern academics have a perfectly reasonable explanation for all of this. If Onan had impregnated his brother’s wife, the resulting child would have been the heir to the family fortune. Onan refused so he could keep the fortune for himself and his descendants. So the sin of Onan was greed, not masturbation. All that stuff in the Talmud about how the hands of masturbators should be cut off, or how masturbation helped cause Noah’s Flood (really! Sanhedrin 108b!) is just a coincidence. God hates greed, just like us.
Sasha’s Newsletter1 mentions across 1 issues

Sasha’s Newsletter is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 31, 2022 and October 31, 2022. The archive places it in contexts such as "Sasha Chapin (writes Sasha’s Newsletter ) writes : I'm pretty solid at jhanas". It most often appears alongside A Mind Without Craving, ACX, Andres Emilsson.

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Highlights From The Comments On Jhanas
October 31, 2022 · Original source
Sasha Chapin (writes Sasha’s Newsletter) writes:
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Scand J Prim Health Care is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 10, 2024 and May 10, 2024. The archive places it in contexts such as "Petursson P. GPs’ reasons for “non-pharmacological” prescribing of antibiotics: A phenomenological study. Scand J Prim Health Care. 2005;23:120–5". It most often appears alongside "Most Drugs Are Bad For You", 1123581321, California.

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Highlights From The Comments On Hanson And Health Care
May 10, 2024 · Original source
...“the lack of stable doctor–patient relationships due to lack of continuity in medical care. Pressure from patients in a stressful society, the physician's work pressure, the physician's own personality, particularly the earnings incentive and service mentality and, last but not least, the physician's lack of confidence and uncertainty, resulting in use of antibiotic prescriptions as a coping strategy in an uncomfortable situation” Petursson P. GPs’ reasons for “non-pharmacological” prescribing of antibiotics: A phenomenological study. Scand J Prim Health Care. 2005;23:120–5.
Scholars’ Stage1 mentions across 1 issues

Scholars’ Stage is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 07, 2022 and February 07, 2022. The archive places it in contexts such as "linked this Scholars’ Stage post on Why Public Intellectuals Have Short Shelf Lives". It most often appears alongside #climate24x7, ACX Grant, Arizona.

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Open Thread 210
February 07, 2022 · Original source
5: In the comment section of Why Do I Suck?, someone linked this Scholars’ Stage post on Why Public Intellectuals Have Short Shelf Lives, which I found interesting.
Inline links: Why Do I Suck?, Why Public Intellectuals Have Short Shelf Lives
Science and Civilisation in China1 mentions across 1 issues

Science and Civilisation in China is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 19, 2022 and August 19, 2022. The archive places it in contexts such as "Joseph Needham's opus Science and Civilisation in China". It most often appears alongside 1587, 1587, 1587, A Year of No Significance: The Ming Dynasty in Decline.

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Your Book Review: 1587, A Year Of No Significance
August 19, 2022 · Original source
Huang first went to university to study electrical engineering, but during the World War II years he became an Army officer. He saw combat, recovered from a gunshot wound to the leg, and rose to the level of Major in an elite Chinese military unit known as the New First Army, which was aligned with U.S. forces. They battled Japanese troops in south-east Asia and, later, Chinese Communists during the Chinese Civil War. Huang graduated from the American Army Staff College in 1947, but after the victory of the Chinese Communists on the mainland, and the retreat of the Chinese Nationalists to Taiwan, Huang stayed in the U.S. and took up the study of Chinese history, obtaining a doctorate degree in 1964 (when he was 46). 1587 is his best-known and most widely acclaimed book, but he enjoyed a long and successful academic career and also contributed to Joseph Needham's opus Science and Civilisation in China.
Science and Clinician pages1 mentions across 1 issues

Science and Clinician pages is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 11, 2023 and December 11, 2023. The archive places it in contexts such as "Their Science and Clinician pages have more information". It most often appears alongside Aaron, ACX Grants, AI risk.

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Open Thread 306
December 11, 2023 · Original source
...ders than LifeView, as well as the usual polygenic screening for common problems like diabetes, obesity, and Alzheimers (although they may also be more expensive). Their Science and Clinician pages have more information, and their signup link is here . 3: A few years ago I started the Psychiatlist, a list of psychiatrists and therapists endorsed by ACX readers (tho...
...disorders than LifeView, as well as the usual polygenic screening for common problems like diabetes, obesity, and Alzheimers (although they may also be more expensive). Their Science and Clinician pages have more information, and their signup link is here . 3: A few years ago I started the Psychiatlist, a list of psychiatrists and therapists endorsed by ACX readers (though not checked by me)...
Science Focus1 mentions across 1 issues

Science Focus is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 25, 2021 and August 25, 2021. The archive places it in contexts such as "https://www.sciencefocus.com/future-technology/how-many-cars-equal-the-co2-emissions-of-one-plane/". It most often appears alongside AP News, Associated Press, Bitcoin.

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Carbon Costs Quantified
August 25, 2021 · Original source
15. https://www.sciencefocus.com/future-technology/how-many-cars-equal-the-co2-emissions-of-one-plane/
Science is WEIRD1 mentions across 1 issues

Science is WEIRD is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 15, 2023 and September 15, 2023. The archive places it in contexts such as "Brandon is the founder of Science is WEIRD , a sprawling online science course". It most often appears alongside @campeters4, A Strange Dream, a_reader.

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Book Review Contest 2023 Winners
September 15, 2023 · Original source
1st: The Educated Mind, reviewed by Brandon Hendrickson. Brandon is the founder of Science is WEIRD, a sprawling online science course that helps kids fall in love with the world. He’s also re-imagining what education can be at his Substack, The Lost Tools of Learning (losttools.substack.com).
Inline links: The Educated Mind, Science is WEIRD, losttools.substack.com
Science Magazine1 mentions across 1 issues

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Highlights From The Comments On Aducanumab
August 20, 2021 · Original source
- Here's Derek Lowe talking about it: https://blogs.sciencemag.org/pipeline/archives/2021/06/08/the-aducanumab-approval
Inline links: https://blogs.sciencemag.org/pipeline/archives/2021/06/08/the-aducanumab-approval
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In Defense Of The Amyloid Hypothesis
August 14, 2025 · Original source
[2] D. K. V. Kumar et al., “Amyloid-β peptide protects against microbial infection in mouse and worm models of Alzheimer’s disease,” Science Translational Medicine, vol. 8, no. 340, pp. 340ra72–340ra72, May 2016, doi: 10.1126/scitranslmed.aaf1059.
Inline links: 10.1126/scitranslmed.aaf1059
[8] J. H. Roh et al., “Disruption of the Sleep-Wake Cycle and Diurnal Fluctuation of β-Amyloid in Mice with Alzheimer’s Disease Pathology,” Science Translational Medicine, vol. 4, no. 150, pp. 150ra122–150ra122, Sep. 2012, doi: 10.1126/scitranslmed.3004291.
Inline links: 10.1126/scitranslmed.3004291
[12] J. M. Castellano et al., “Human apoE isoforms differentially regulate brain amyloid-β peptide clearance,” Science Translational Medicine, vol. 3, no. 89, pp. 89ra57–89ra57, Jun. 2011, doi: 10.1126/scitranslmed.3002156.
Inline links: 10.1126/scitranslmed.3002156
Science201 mentions across 1 issues

Science20 is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 25, 2021 and August 25, 2021. The archive places it in contexts such as "https://www.science20.com/science_mom/i_wanna_go_green_so_show_me_the_math". It most often appears alongside AP News, Associated Press, Bitcoin.

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Carbon Costs Quantified
August 25, 2021 · Original source
1. https://www.science20.com/science_mom/i_wanna_go_green_so_show_me_the_math
ScienceDaily1 mentions across 1 issues

ScienceDaily is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 25, 2021 and August 25, 2021. The archive places it in contexts such as "https://www.sciencedaily.com/releases/2019/06/190613104533.htm". It most often appears alongside AP News, Associated Press, Bitcoin.

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Carbon Costs Quantified
August 25, 2021 · Original source
34. https://www.sciencedaily.com/releases/2019/06/190613104533.htm
Scientific Data1 mentions across 1 issues

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Links For September
September 20, 2021 · Original source
17: Why are published papers so bad about sharing their data? An academic on Discord (no link, sorry) proposes one potential explanation: it takes a lot of work to gather a dataset. Journals won’t publish datasets, so you can’t include them as a publication on your resume, so by default you get no credit for doing this difficult thing. The recognized workaround is to turn your hard-won dataset into lots of papers: “We Surveyed Youth Food Tastes And Found Apples Are Very Popular”, “We Surveyed Youth Food Tastes And Found Strawberry Consumption Is Highest In The Midwest”, “We Surveyed Youth Food Tastes And Found White People Are More Likely To Eat Pears”, etc. But if you publish your data with your first paper, then other researchers can beat you to Papers #2, #3, etc, and all your hard data-collection work will be unrewarded. I found this theory enlightening; this seemingly inexplicable failure is a totally normal problem of how to internalize the rewards for hard work. I wonder why there’s no Journal Of Datasets. [EDIT: There is, Scientific Data, but commenters say that informal “what gets you respect” is more important than formal “what gets you citations”]
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Scientific genius is extinct is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 22, 2022 and March 22, 2022. The archive places it in contexts such as "from Nature ’s “ Scientific genius is extinct ”". It most often appears alongside 60s and 70s, Albert Einstein, Andrea Dworkin.

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Contra Hoel On Aristocratic Tutoring
March 22, 2022 · Original source
There are a bunch of other analyses (really, laments) of a similar nature I could name, from Nature’s “Scientific genius is extinct” to The New Statesman’s “The fall of the intellectual” to The Chronicle of Higher Education’s “Where have all the geniuses gone?” to Wired’s” “The Difficulty of Discovery (Where Have All The Geniuses Gone?)” to philosopher Eric Schwitzgebel’s “Where are all the Fodors?” to my own lamentation on the lack of leading fiction writers.
Inline links: Scientific genius is extinct, The fall of the intellectual, Where have all the geniuses gone?, The Difficulty of Discovery (Where Have All The Geniuses Gone?), Where are all the Fodors?, lamentation on the lack
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In Defense Of The Amyloid Hypothesis
August 14, 2025 · Original source
[59] C. A. Lasagna-Reeves et al., “Alzheimer brain-derived tau oligomers propagate pathology from endogenous tau,” Scientific Reports, vol. 2, no. 1, p. 700, Oct. 2012, doi: 10.1038/srep00700.
Inline links: 10.1038/srep00700
[122] P. Spitzer et al., “Amyloidogenic amyloid-β-peptide variants induce microbial agglutination and exert antimicrobial activity,” Scientific Reports, vol. 6, no. 1, p. 32228, Sep. 2016, doi: 10.1038/srep32228.
Inline links: 10.1038/srep32228
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SCMP is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 28, 2024 and March 28, 2024. The archive places it in contexts such as "An SCMP article suggested there were 92 previously-undetected cases suspicious for COVID". It most often appears alongside ACX comment thread, ACX subreddit, Asia.

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Practically-A-Book Review: Rootclaim $100,000 Lab Leak Debate
March 28, 2024 · Original source
Source: NPR. To be fair, we have only the scientist’s word that this is why he had the picture. But he definitely did have it. People say it would be a surprising coincidence if a zoonotic coronavirus pandemic just so happened to start in a city with a big coronavirus research lab, and this is true. But it would be an even more surprising coincidence if a lab-leak coronavirus pandemic just so happened to first get detected at a raccoon-dog stall in a wet market! Saar: It’s not clear that the first case was at the wet market; a certain Mr. Chen, with no connection to the market, seems to have fallen sick on December 8. An SCMP article suggested there were 92 previously-undetected cases suspicious for COVID as far back as November. And even if half of the first forty universally-agreed-upon cases had market connections that means another half didn’t. There was a bias towards detecting cases at the market: because authorities thought the market was the origin, and because everyone was thinking about zoonosis after SARS1, they only screened/diagnosed people with a market connection. One of the few non-market-connected COVID cases detected during this period was only detected because he was the relative of a hospital worker; the worker noticed the signs and insisted they go to the hospital despite the lack of a wet market connection. Although the map of positive samples and cases at the market was centered near the raccoon-dog stall, that could be because that area was sampled more; it’s also close to the mahjong room, where visitors and vendors at the market would go and unwind in a tight, poorly ventilated area. The next session will focus more on the WIV, but the short version is that they were doing lots of gain of function research. So one story compatible with the evidence is that a worker at WIV got infected with their modified coronavirus and passed it to his contacts. COVID started spreading quietly a few weeks to months before the first market-related case was detected. This accounts for the 92 earlier cases, Mr. Chen’s case, and the half of officially-detected cases with no wet market association. Then an infected person went to the market, causing a super-spreader event. Some of the infected market patrons went to the hospital, where doctors traced it back to the market and told other doctors to be on the lookout for wet market patrons coming in with weird viral pneumonias. They found some, declared victory, and the few anomalies - like the hospital worker’s relative - were forgotten, or assumed to have wet market connections that nobody could find. China quashed all evidence of the lab research (as was done in previous lab leak cases, eg the USSR) so all we have is the apparent wet market links that Peter found so convincing. Peter: The supposed pre-wet-market cases are confirmed fakes. Yes, the WHO did an investigation of whether there might have been COVID cases circulating before the wet market, and identified 92 unusual pneumonias that merited further review. But their final investigation, which included testing samples from these people after good tests became available, found that none of these people really had COVID. As for Mr. Chen, he said in an interview that he was hospitalized for dental issues on December 8, caught COVID in the hospital on December 16, and then was erroneously reported as “hospitalized for COVID on December 8”. The December 16 date is after the first wet market cases. Further, it seems epidemiologically impossible for COVID to have been circulating much before the first cases were officially detected December 11. The COVID pandemic doubles every 3.5 days. So if the first infection was much earlier - let’s say November 11 - we would expect 256x as much COVID as we actually saw. Even if the first couple of cases were missed because nobody was looking for them, the number of hospitalizations, deaths, etc, in January or whenever were all consistent with the number of people you’d expect if the pandemic started in early December - and not consistent with 256x that many people. So probably we should just accept that the first reported case - a wet market vendor, December 11 - was very early in the pandemic. She wasn’t literally the first case - that would most likely have been someone who worked at the raccoon-dog shop, whose case might (like 95% of COVID cases) have been mild enough not to come to medical attention. But she was certainly very early. Although authorities eventually decided COVID spread through a wet market and started deliberately looking for wet market connections, this only happened on December 30. So the earliest cases - including the 40 very earliest cases where half came from the wet market - weren’t biased (at least not through that particular route). So the claim that “the first case, and half of the first 40 cases, had wet market connections” stands as real and convincing evidence. Although the exact center of the map of positive COVID samples in the wet market was the mahjong room, the samples taken from the mahjong room were not, themselves, positive (cf: although a low-resolution population density map of New York might show Central Park in the exact center of the population density gradient, Central Park does not itself have population). There was no real “super-spreader event” at the wet market. There was a slow burn - one case the first day, a few more the next day, a few more the day after that. It’s hard to see how a single visit from an infected lab worker could do that. So the only way it could possibly be a lab leak is if the lab leaked sometime in late November, infected exactly one lab worker, that worker went straight to the wet market, infected a vendor, then went home, quarantined, recovered, and all other cases were downstream of that first infected wet market vendor. This is unparsimonious. Saar: The only source saying that Mr. Chen got sick early was an anonymous interview. And even if he was later than the first wet market cases, nobody was able to find any wet market connections. This means that whoever infected him was earlier than the index case and not linked to the wet market. Peter argued that COVID couldn’t have been more than a few weeks old when the first wet market cases were detected. But this was based on its known doubling rate. If pre-discovery COVID had a slower doubling time than known COVID, it could have been around longer. And post-lockdown serology suggested numbers that were larger than claimed at the time. So contra Peter’s claims, the infection could have been going on longer, which wouldn’t require the first lab worker to go straight to the market. It could have been weeks. Dr. Jesse Bloom’s investigation of the wet market samples, considered the final and most conclusive, failed to find a clear connection between COVID and raccoon-dogs or any other animals. Although the concentration of positive samples seemed highest near the raccoon dog stall, if you do a formal statistical analysis of which animals’ DNA was found near COVID samples most often, raccoon dogs are near the bottom. The top is wide-mouth bass, which can’t get COVID. This is obviously contamination, probably from infected humans touching wide-mouth bass tanks or something. Although the Chinese data included a negative sample from a mahjong table, it included a mention of poultry being sold nearby, which might mean this wasn’t the mahjong room itself, but some other mahjong table at a poultry shop elsewhere in the market, and (dry) mahjong tables might not hold the virus well anyway. Peter: Raccoon-dogs were sold in various cages at various stalls, separated by air gaps big enough to present a challenge for COVID transmission, and there’s no reason to think that one raccoon-dog would automatically pass it to all the others. The statistical analysis just proves there were many raccoon-dogs who didn’t have COVID. But you only need one. The raccoon dog shop and the drain leading out of the raccoon dog shop had some of the highest positive sample rates, which is more interesting than a statistical analysis which everyone agrees must be wrong (since it favors bass). It’s unclear why the negative mahjong sample says something about poultry, but based on the stated location, it’s definitely the one in the mahjong room. Session 1.5: Lineages This was technically part of Session 2, but formed enough of a discrete topic that I found it confusing to intermix it with all the other viral genetics points. I’m spinning it out into a separate summary, but the videos are all in the next session. Yuri: The coronavirus eventually mutated into many different strains. But the first big split, seen in some of the earliest samples, is between two different sub-strains called Lineage A and Lineage B, which differ by two mutations. In these two mutations, Lineage A is the same as BANAL-52, a bat virus which is the closest-known relative of COVID, but Lineage B is different. Since COVID probably evolved from something like BANAL-52, Lineage A must have come first, spread for a while, and then gotten two new mutations, turning it into Lineage B. All of the cases at the wet market, including the first detected case, were Lineage B. Lineage A wasn’t discovered until about a week later, and none of the Lineage A patients had been to the wet market. Lineage A (left) was used by the Minoan Cretans, but has never been deciphered. Lineage B (right) was used by the Mycaeneans for lists of palace goods. This matches Saar’s story above. The lab leaked to somewhere else in Wuhan, not the wet market. The virus spread undetected in the population for a while. During this time, it mutated to Lineage B. Then one of the people with Lineage B went to the wet market and started a superspreader event. The authorities sampled the patients, found Lineage B, then started looking elsewhere. Later they detected some of the earlier Lineage A cases. The market is unlikely to be the origin of the pandemic, because the original Lineage A strain wasn’t found there. Peter: Although Lineage A is evolutionarily older, Lineage B started spreading in humans first. We know this because Lineage B is more common. Throughout the early pandemic, until the D614G variant drove all other strains extinct, a consistent 2/3 of the cases were B, compared to 1/3 A. Both strains spread at the same rate, so the best explanation is that B started earlier than A. Since COVID doubles every 3-4 days, probably Lineage B started 3-4 days earlier than Lineage A, which explains why it’s always been twice as many cases. But also, Lineage B also has more internal genetic diversity than Lineage A. In general, older viruses have more genetic diversity (the “molecular clock”). This is further evidence that B started spreading first. Pekar 2022 and Pipes 2021 do analyses with known parameters for spread rate and diversity, and find 90%+ odds that Lineage B was the first one in humans. Why did the older strain start spreading later? Probably the virus crossed from bats into raccoon-dogs on some raccoon-dog farm out in the country. It spread in the raccoon-dogs for a while, racking up mutations, including the (less mutated) Lineage A strain and the (slightly more mutated) Lineage B strain. Then several raccoon-dogs were taken to Wuhan for sale, including one with Lineage A and another with Lineage B. The one with Lineage B passed its virus to humans earlier. Then 3-4 days later, the Lineage A one passed its virus to humans. Lineage A was first found in a Wuhan neighborhood right next to the wet market (closer to the wet market than 97% of Wuhan’s population). Again, it would be a bizarre coincidence if a lab leak pandemic was first detected at a wet market. But it would be an even more bizarre coincidence if a lab leak pandemic separated into two strains, and both were first detected at a wet market! Although no known wet market cases were Lineage A, a positive Lineage A environmental sample was found at the wet market, and everyone agrees most cases went undetected. So maybe the Lineage B raccoon-dog spread its virus to a vendor, and that sub-strain mostly stayed in the market. But the Lineage A raccoon-dog spread its virus to a customer, who went back to his house nearby, and that strain spread in the neighborhoods next to the market. This is the only story that explains the evolutionary precedence of A, the greater spread and older molecular clock of B, and the fact that both strains were first found very close to the wet market. Yuri/Saar: Lineage B could be more common and diverse because it got the advantage of a super-spreader event in the wet market. There are a few scattered cases of intermediates between A and B, and a few other scattered cases of lineages that seem even more ancestral (ie closer to the bat virus) than either. This doesn’t make sense in a double spillover hypothesis. But it does make sense if the lineages separated in human transmission somewhere between the lab and the first super-spreader event at the wet market. Peter: Again, the wet market wasn’t a super-spreader event. COVID spread in the wet market at exactly its normal spread rate, doubling about once every 3.5 days. Stop calling the wet market a super-spreader event. The scattered cases of “intermediates” are sequencing errors. They were all found by the same computer software, which “autofills” unsequenced bases in a genome to the most plausible guess. Because Lineage B was already in the software, depending on which part of a Lineage A virus you sequenced, you might get one half or the other autofilled as Lineage B, which looked like an “intermediate”. We know this because all the supposed “intermediates” were partial cases sequenced by this particular software. We can confirm this by noting that there are too many intermediates! That is, where Lineage A is (T/C) and Lineage B is (C/T), the software found both (T/T) “intermediates” and (C/C) “intermediates”. But obviously there can only be one real intermediate form, and we have to dismiss one or the other. But in fact we can dismiss both, because they were both caused by the same software bug. The scattered “progenitor” cases - those closer to the ancestral bat virus than either A or B - are reversions, ie cases where a new mutation in the virus happened to hit an already-mutated base and shift it back towards the ancestral virus. We know this because all of these “progenitors” were scattered cases found months after the pandemic started, often in entirely different countries from Wuhan. If these were real progenitor viruses, they would have either fizzled out or exploded into a substantial portion of all cases, not be found one time in one guy in Malaysia. Given the number of mutations the virus developed over the course of the pandemic, it’s inevitable that some of them would be mutations that bring it closer to the original bat virus, and in fact we find the number of “progenitors” found very nicely matches the number of progenitor-appearing viruses we would expect by chance. And in many cases, we know the “progenitors” are newer than the original lineages, because they also have some of the later mutations that Lineage A or B picked up along the way, alongside their apparent ancestral-bat-virus-like mutations. Session 2: Viral Genetics Yuri: Two years before COVID, scientists at the Wuhan Institute of Virology, together with colleagues at the University of North Carolina, sent in a grant proposal for the DEFUSE program. This program, intended to locate and better understand potential future pandemic viruses, involved going into bat caves and collecting new coronaviruses. Once they had them, they would do gain-of-function: specifically, they would add a furin cleavage site to make them more infectious and see what happened. (quick interlude: COVID’s spike protein has two sections: one binds to human cells through the ACE2 receptor, the other helps fuse with the cell after binding. In order to avoid the immune system, it hides both of these into one spike. But when it reaches a cell, it needs to separate them again. It takes advantage of a human respiratory enzyme, furin, to do the separation - this also ensures that it only infects its primary target, human respiratory cells. The part of COVID that lets it get separated by furin is called the “furin cleavage site”. COVID’s bat-virus ancestors were gastrointestinal viruses; the addition of a furin cleavage site was what made them respiratory viruses.) We’ve found two close relatives of COVID: bat viruses called RATG-13 and BANAL-52. In particular, COVID looks more or less like BANAL-52 plus a furin cleavage site. There are 1500 sarbecoviruses, members of the family of viruses that includes SARS and SARS2/COVID. None of them except COVID have furin cleavage sites. BANAL-52, COVID’s closest ancestor, doesn’t even have anything resembling one that could mutate into a functional furin cleavage site like COVID’s. Instead, COVID - which mostly just resembles BANAL-52 with a few scattered single-point mutations - has twelve completely new nucleotides in a row - a fully formed furin cleavage site that came out of nowhere. There is nowhere else in the genome that COVID differs from BANAL-52 in such a profound way. It’s just BANAL-52 plus a little bit of random mutation plus a fully-formed furin cleavage site that came out of nowhere. Further, the furin cleavage site is weird. It uses the protein arginine twice. But instead of the nucleotides coding for arginine in the usual viral way, both times it uses the codons CGG - the way that higher animals code for arginine. This works fine - it’s just not how viruses do it. So the obvious conclusion is that WIV, which said in 2018 that it was going to find viruses and add furin cleavage sites to them, found a close relative of BANAL-52 and added a furin cleavage site. Since they were humans, and most familiar with the human way of encoding arginine, they added it as CGG both times. COVID seemed surprisingly optimized for infecting humans. Of fifty animals it was tested in, including the usual coronavirus intermediate hosts (pangolins, raccoon-dogs, etc), it was best at infecting human cells. Further, a virus that enters a new species will usually show a burst of mutations as it “figures out” the best way to adapt to that species’ unique biology. But COVID has had a pretty constant mutation rate in humans, from the beginning of the pandemic to the end. That suggests it was already adapted to humans. This could be because the lab screened for viruses with existing adaptations, because they passed it through humanized mice in the lab, or because it adapted in the hundreds of undetected cases that happened between the lab and detection in the wet market. Usually, research with potentially dangerous coronaviruses is done in BSL-3 or 4, ie high to very-high security. But WIV was irresponsibly doing it in BSL-2, ie medium security. The researchers weren’t even required to wear masks. In general, about 1/500 labs will leak any given pathogen they’re working on (?!). But because WIV was researching such an infectious virus in such an irresponsible way, the odds of a leak were much higher. The most likely explanation for all these facts is that WIV went ahead and did the gain-of-function research they said they were going to do (the particular DEFUSE grant proposal we know about got rejected, but it proves that Wuhan wanted to do this, and they could easily have gotten funding somewhere else, or done it out of their regular budget). They found a close relative of BANAL-52 and added a furin cleavage site as a simple twelve-nucleotide insertion, using the human method of encoding arginine that their genetic engineers were familiar with. Then it leaked, spread for a while in the general Wuhan population, and eventually made it to the wet market where it got detected. Peter: As mentioned earlier, the DEFUSE grant was rejected. Further, the grant said that the Wuhan Institute of Virology was responsible for finding the viruses, and the University of North Carolina would do all the gain-of-function research. This was a reasonable division of labor, since UNC was actually good at gain-of-function research, and WIV mostly wasn’t. They had done a few very simple gain-of-function projects before, but weren’t really set up for this particular proposal and were happy to leave it for their American colleagues. Even if WIV did try to create COVID, they couldn’t have. As Yuri said, COVID looks like BANAL-52 plus a furin cleavage site. But WIV didn’t have BANAL-52. It wasn’t discovered until after the COVID pandemic started, when scientists scoured the area for potential COVID relatives. WIV had a more distant COVID relative, RATG-13. But you can’t create COVID from RATG-13; they’re too different. You would need BANAL-52, or some as-yet-undiscovered extremely close relative. WIV had neither. Are we sure they had neither? Yes. Remember, WIV’s whole job was looking for new coronaviruses. They published lists of which ones they had found pretty regularly. They published their last list in mid-2019, just a few months before the pandemic. Although lab leak proponents claimed these lists showed weird discrepancies, this was just their inability to keep names consistent, and all the lists showed basically the same viruses (plus a few extra on the later ones, as they kept discovering more). The lists didn’t include BANAL-52 or any other suitable COVID relatives - only RATG-13, which isn’t close enough to work. Could they have been keeping their discovery of BANAL-52 secret? No. Pre-pandemic, there was nothing interesting about it; our understanding of virology wasn’t good enough to point this out as a potential pandemic candidate. WIV did its gain-of-function research openly and proudly (before the pandemic, gain-of-function wasn’t as unpopular as it is now) so it’s not like they wanted to keep it secret because they might gain-of-function it later. Their lists very clearly showed they had no virus they could create COVID from, and they had no reason to hide it if they did. COVID’s furin cleavage site is admittedly unusual. But it’s unusual in a way that looks natural rather than man-made. Labs don’t usually add furin cleavage sites through nucleotide insertions (they usually mutate what’s already there). On the other hand, viruses get weird insertions of 12+ nucleotides in nature. For example, HKU1 is another emergent Chinese coronavirus that caused a small outbreak of pneumonia in 2004. It had a 15 nucleotide insertion right next to its furin cleavage site. Later strains of COVID got further 12 - 15 nucleotide insertions. Plenty of flus have 12 to 15 nucleotide insertions compared to other earlier flu strains. Sometimes insertions happen because of a mistake in viral replication. Other times the virus gets confused between its own RNA and its host’s, and splices a bit of the host RNA into the virus. This would neatly explain why the insertion used the unusual coding CGG for arginine, which is common in animals but rare in viruses. On the other hand, it’s not that rare in viruses - COVID uses CGG for arginine about 3% of the time. And human engineers don’t necessarily use it any more than that - Peter was able to find one example of humans adding arginine to a virus, and 0 out of the 5 arginines added were CGG. COVID’s furin cleavage site is a mess. When humans are inserting furin cleavage sites into viruses for gain-of-function, the standard practice is RRKR, a very nice and simple furin cleavage site which works well. COVID uses PRRAR, a bizarre furin cleavage site which no human has ever used before, and which virologists expected to work poorly. They later found that an adjacent part of COVID’s genome twisted the protein in an unusual way that allowed PRRAR to be a viable furin cleavage site, but this discovery took a lot of computer power, and was only made after COVID became important. The Wuhan virologists supposedly doing gain-of-function research on COVID shouldn’t have known this would work. Why didn’t they just use the standard RRKR site, which would have worked better? Everyone thinks it works better! Even the virus eventually decided it worked better - sometime during the course of the pandemic, it mutated away from its weird PRRAR furin cleavage site towards a more normal form. Further, COVID’s furin cleavage site was inserted via what seems to be a frameshift mutation - it wasn’t a clean insertion of the amino acids that formed the site, it was an insertion of a sequence which changed the context of the surrounding nucleotides into the amino acids that formed the site. This is a pointless too-clever-by-half “flourish” that there would be no reason for a human engineer to do. But it’s exactly the kind of weird thing that happens in the random chance of evolution. COVID is hard to culture. If you culture it in most standard media or animals, it will quickly develop characteristic mutations. But the original Wuhan strains didn’t have these mutations. The only ways to culture it without mutations are in human airway cells, or (apparently) in live raccoon-dogs. Getting human airway cells requires a donor (ie someone who donates their body to science), and Wuhan had never done this before (it was one of the technologies only used at the superior North Carolina site). As for raccoon-dogs, it sure does seems suspicious that the virus is already suited to them. The claim that COVID is uniquely adapted to humans is false. The paper that claimed that defined how well COVID was adapted to different animals by those animals’ difference (on the relevant cell receptors) from humans. So in its methodology, humans came out #1 by default. If you don’t do that, COVID is better-adapted to many other animals. It’s not necessarily true that viruses see a burst of mutations when they enter a new host. COVID spread to deer and mink, and in neither case was there a burst of mutations. COVID has a pretty simple job of infecting respiratory cells and is already very good at it, regardless of species. In Yuri’s model, Wuhan Institute of Virology picked up a discarded grant and decided to do the gain-of-function half allotted to a different university, despite their relative inexperience. They skipped over all the SARS-like viruses they were supposed to work on, and all the standard gain-of-function model backbones, in favor of BANAL-52, a virus which would not be discovered for another two years, but which they somehow had samples of, which they had for some reason decided to keep secret despite its total lack of interestingness. Then they would have had to eschew all usual gain-of-function practices in favor of inserting a weird furin cleavage site that shouldn’t have worked according to the theory they had at the time, via a frameshift mutation. Then they would have had to culture it, a technique beyond their limited capabilities. Then it would have had to leak, and magically show up again in front of the raccoon-dog stall at a wet market. Yuri: WIV wouldn’t have needed to keep BANAL-52 “secret” in some kind of sinister way. Plenty of researchers have backlogs of work they haven’t published yet. Probably they a found BANAL relative in one of their normal sampling trips, did some preliminary studies on it, and planned to publish it later once they cleaned up their data. Everyone works like this. The part of DEFUSE saying that they would only work on viruses that were 95% similar to SARS is unclear and might mean something else. It looks more like they say they’ll start with those viruses, but also do some work on novel viruses. BANAL-52 could have been one of the novel viruses. The furin cleavage site is weird, but the researchers might have done that on purpose, to make the virus easier to keep track of, or to test different furin cleavage sites. Depending on the exact BANAL-52 relative they used, it might not even be a frameshift; there’s a particular way to spell serine that would make the insertion more natural. The claims that COVID can’t be cultured in normal media are based on speculative original research by Peter and might not hold up. Peter: WIV did most of its virus-gathering in a trip to a Yunnan cave between 2010 and 2015. All those viruses have long since been processed and added to the database. There’s no sign that they made more trips to Yunnan caves, and no reason for them to keep that secret. So the idea that they might just have some new viruses they didn’t publish doesn’t hold up. But suppose they did make more trips. Given the amount of time between the DEFUSE proposal and COVID, if they kept to their normal virus-collection rate, they would have gotten about thirty new viruses. What’s the chance that one of those was BANAL-52? There are thousands of bat viruses, and BANAL-52 is so rare that it wasn’t found until well after the pandemic started and people were looking for it very hard. So the chance that one of their 30 would be BANAL-52 is low. Also, they said in DEFUSE that they planned to go back to the same Yunnan cave. But BANAL-52 was found far away from that cave, so unless it ranged over a wide area, they probably couldn’t have found it even if they got very lucky. Session 3: Closing Arguments This third debate was supposed to be about “inference”, ie how much Bayesian evidence was provided by each of the facts given so far, and how to fit them into the Rootclaim probabilistic model. I’m going to relegate my summary of the more probabilistic half to the next section of this post, and just include the closing arguments here. Saar: Peter’s case hinges on the idea that it’s very improbable that a lab leak pandemic would first show up at a wet market. But this isn’t necessarily improbable. The Huanan Seafood Market had several factors that made it a likely location for a superspreader event. It was busy, with over 10,000 visitors a day. Many of the people there (eg the 1,000 vendors) came back daily, letting them reinfect each other. It had poor ventilation, especially in the high-positivity area near the raccoon-dog stall. It had cold wet surfaces on which the virus could survive for long periods. It was indoors, which prevented UV light from killing the virus. Given a small amount of sporadic COVID going around Wuhan, it’s not surprising for the first place it started spreading en masse to be a wet market. In fact, we have several examples of this. When China was COVID Zero, there would occasionally be small outbreaks that the authorities would have to contain. Most of these were at wet markets. For example, the big COVID outbreak in Beijing started at Xinfadi Market, their local seafood market. This couldn’t be an animal spillover, because there were no raccoon-dogs or other weird wildlife there. So it must be that wet markets are natural places for superspreader events. There are several other examples, which make up about half of the total outbreaks in Zero COVID era China, plus others in Singapore and Thailand. Since COVID clusters concentrate in wet markets even when there is no animal spillover, we should accept this as a property of the virus, and not attribute any significance to the fact that this happened in Wuhan too. Peter: About 1/10,000 citizens of Wuhan was a wet market vendor. So there’s a 1/10,000 chance that the first known COVID case should be a wet market vendor by chance alone. Weibo lists the most popular places for people to check in to their network on their phones, and the wet market was the 1600th most popular place in Wuhan, meaning that if you weight locations by busy-ness, there’s a less than 1/1600 chance that the first cases would be in the wet market. Yes, the wet market is indoors, has mediocre ventilation, has repeat visitors, etc. So do thousands of other places in Wuhan, like schools, hospitals, workplaces, places of worship. The wet market isn’t special in any way. And again, it wasn’t a superspreader event! COVID spread at the same rate in the wet market as it does everywhere else: doubling once per 3.5 days. It doesn’t matter what kinds of arguments you can come up with for why the wet market should have been the perfect superspreader event location, we can look at it and see that it wasn’t. It’s an environment that spreads COVID at exactly the normal rate. Zero COVID era Chinese outbreaks were concentrated in wet markets because they received infected animal products. We know why there was an outbreak in the Xinfadi Market in Beijing: it was because the seafood stall got frozen fish from some non-Zero-COVID country, the fish had COVID particles on it, and the vendor got infected and spread it to everyone else. Something like this is true for the other Chinese wet market based outbreaks we know about it. So this makes the opposite point you think it does: wet markets start outbreaks because there are infected goods being sold there. Then the virus spreads through the wet market at a completely normal rate. Saar: The Weibo list of 1600 places bigger than the wet market is likely inaccurate, because it's based on check-in data and people don't check in to seafood markets. Most of those 1600 places aren't amenable to superspread. The 70 markets supposedly bigger than Huanan are irrelevant, because they're supermarkets, open air markets, etc. Huanan is the largest seafood market in central China, and a more likely place for the first cluster of cases to be noticed. Markets weren't a common spillover location in SARS1, so the zoonosis hypothesis hasn't "called" this event in a way that should give them a high Bayes factor. And there’s still plenty of evidence for isolated (though not super-spreading) pre-market cases. A British expatriate in Wuhan, Connor Reed, says he got sick in November, three weeks before the first wet market case. Later the hospital tested his samples and said it was COVID. Another paper reports 90 cases before the first wet market one. Peter: Connor Reed was lying. The case wasn’t reported in any peer-reviewed paper. It was reported in the tabloid The Daily Mail, months after it supposedly happened. He also told the Mail that his cat died of coronavirus too, which is rare-to-impossible. Also, to get a positive hospital test, he would have had to go to the hospital, but he was 25 years old and almost no 25-year-olds go to the hospital for coronavirus. His only evidence that it was COVID was that two months later, the hospital supposedly “notified” him that it was. The hospital never informed anyone else of this extremely surprising fact which would be the biggest scientific story of the year if true. So probably he was lying. Incidentally, he died of a drug overdose shortly after giving the Mail that story; while not all drug addicts are liars, given all the other implausibilities in his story, this certainly doesn’t make him seem more credible. And in any case, he claimed he got his case at a market “like in the media” The other 90 cases are also fake. A lab leak guy found a paper that mentioned 90 more cases than other papers, and made up a conspiracy theory where the author was trying to secretly communicate that there had been 90 secret cases before any of the confirmed cases, even though there was nothing about this in the text of the paper. But actually that paper just counted cases differently than other papers, and they were referring to normal cases after the pandemic officially started. Again, I’ll come back to the discussion about inference later, but for now, here’s a table of both sides’ reasoning. This exact presentation comparing both analyses is mine3, but you can see Saar’s version here, and Peter’s starting at 45:33 of this video. Slightly made up; the two sides didn’t express their probabilities in the same way and I had to make editorial decisions to match them. Note that these aren't entirely comparable because Peter is being laxer about out-of-model probability than Saar. Although Saar's final odds here are 533-to-1, this just the central estimate. Rootclaim’s real final probability is 94% lab leak. You can see their analysis here. And The Winner Is . . . … … … … … Peter and the zoonosis hypothesis. This was a decisive victory. There were two judges, who each gave separate verdicts (or were allowed to declare a draw). Both judges decided in favor of Peter. You can see the judges’ own summary of their reasoning here (Will, Eric) Manifold agreed with the judges. There was a prediction market on who would win. It started out 70-30 in favor of lab leak. As the videos came out, zoonosis started doing better and better. I don’t want to take the exact final numbers too seriously, since I think some of the later price increases involved hints from the participants’ behavior. But it’s clear which way viewers thought the wind was blowing4. Around the same time, the Good Judgment Project - Philip Tetlock’s group studying superforecasters - put out a report on the lab leak hypothesis. After studying it in depth, his forecasters ended up 75-25 in favor of zoonosis. The Rootclaim debate was one of ten sources they said they found especially interesting. And also around the same time, and unrelated to any of this, the Global Catastrophic Risks Institute surveyed experts (“168 virologists, infectious disease epidemiologists, and other scientists from 47 countries”) and found the same thing (though see here for some potential problems with the survey): For what it’s worth, I was close to 50-50 before the debate, and now I’m 90-10 in favor of zoonosis. III. The Math And The Aftermath The third debate session was about “inference”, how to put evidence together. I put this part off until after disclosing the winner, because I wanted to talk about some of these issues at more length. The Math: Judges Both judges included a probabilistic analysis in their written decision. Here’s the same table as above, expanded to add the judges: I shoehorned the judges’ factors into the categories I already had; some of them were actually subtly different from Peter’s, Saar’s, and each other’s. The “priors” category is especially a mess here. We’ll go over these later, but I get the impression that they both thought of probabilistic analyses as an afterthought. For example, Judge Eric wrote 30,000 words about which considerations moved him, and only then includes the analysis, saying: I am not convinced that this Bayesian calculation is even an appropriate way to estimate the relative posterior probability of Z and LL; it just seemed fair that after criticizing Rootclaim’s calculations at length I should make an attempt at it myself. Judge Will’s decision ran to 10,000 words. He said he independently tried both reasoning it out intuitively, and running the Bayesian analysis, and was relieved when these two methods returned the same result. He said: I am skeptical that the Bayesian decision making/evaluation methods are any more "objective" than [intuitive reasoning]. I think they maximize legibility, not objectivity, and tend to hide the intuitive/heuristic portion in the data inclusion step and values, where it’s harder to see . . . I am not skilled in the Bayesian method, and I am sure I made significant mistakes. More time and practice would improve and refine my estimates. At the fundamental rules of the universe level, Bayesian analysis must be the best way to evaluate evidence. However, I am unsure that it’s a good strategy for a human given our cognitive limitations, and doubly unsure it’s truly being used (in the dispassionate sense) where the outcome is social desirability/fame/Twitter likes. I’m focusing on this because Saar’s opinion is that the debate went wrong (for his side) because he didn’t realize the judges were going to use Bayesian math, they did the math wrong (because Saar hadn’t done enough work explaining how to do it right), and so they got the wrong answer. I want to discuss the math errors he thinks the judges made, but this discussion would be incomplete without mentioning that the judges themselves say the numbers were only a supplement for their intuitive reasoning. That having been said, let’s look deeper into some of Saar’s concerns. The Math: Extreme Odds Saar complained that Peter’s odds were too extreme. For example, Peter said there was only a 1/10,000 chance that a lab leak pandemic would first show up at a wet market. Peter’s argument went something like: obviously a zoonotic pandemic would start at a site selling weird animals. But a lab leak pandemic - if it didn’t start at the lab - could show up anywhere. 1/10,000 Wuhan citizens work at the wet market. So if a lab leak was going to show up somewhere random, the wet market was a 1/10,000 chance. Saar had specific arguments against this, but he also had a more general argument: you should rarely see odds like 1/10,000 outside of well-understood domains. In his blog post, he gave this example: A prosecutor shows the court a statistical analysis of which DNA markers matched the defendant and their prevalence, arriving at a 1E-9 probability they would all match a random person, implying a Bayes factor near 1E9 for guilty. But if we try to estimate p(DNA|~guilty) by truly assuming innocence, it is immediately evident how ridiculous it is to claim only 1 out of a billion innocent suspects will have a DNA match to the crime scene. There are obviously far better explanations like a lab mistake, framing, an object of the suspect being brought by someone to the scene, etc. So the real p(wet market|lab leak) isn’t the 1/10,000 chance a pandemic arising in a random place hits the wet market, but the (higher?) probability that there’s something wrong with Peter’s argument. Then Saar tried to show specific things that might be wrong with Peter’s argument. I didn’t find his specific examples convincing. But maybe the question shouldn’t be whether I agreed with him. It should be whether I’m so confident he’s wrong that I would give it 10,000-to-1 odds. This makes total sense, it’s absolutely true, and I want to be really, really careful with it. If you take this kind of reasoning too far, you can convince yourself that the sun won’t rise tomorrow morning. All you have to do is propose 100 different reasons the sunrise might not happen. For example: The sun might go nova.
Inline links: NPR, found that, Mr. Chen, failed to find a clear connection between COVID and raccoon-dogs, https://substackcdn.com/image/fetch/$s_!8Led!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F85e46d3a-c19e-407b-88b7-1d8ea1489df7_1190x503.png, Pekar 2022, Pipes 2021, says, 3, here, this video, https://substackcdn.com/image/fetch/$s_!8aU2!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F815fe32d-d7ea-401b-b3a2-d8cd25b52ee8_490x780.png, https://substackcdn.com/image/fetch/$s_!0Tm_!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd0492f69-7b7e-4611-9d76-64ef8d7f59d5_511x511.png, Will, Eric, agreed, 4, put out a report on the lab leak hypothesis, https://substackcdn.com/image/fetch/$s_!g7k2!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F37f1b493-b556-41ec-925e-03f9d8bc26cb_1456x849.webp, surveyed experts, see here, https://substackcdn.com/image/fetch/$s_!Zejl!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fe9c88e87-b6ca-4c6d-840e-24da726f50b7_975x365.png, https://substackcdn.com/image/fetch/$s_!T5rV!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F4983e2cd-4151-42de-9685-08037ef7a8e8_635x788.png
Scotland pedigree estimates1 mentions across 1 issues

Scotland pedigree estimates is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 03, 2025 and July 03, 2025. The archive places it in contexts such as "the Scotland pedigree estimates he cites". It most often appears alongside 23andme, @alextisyoung, Aborigines.

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Highlights From The Comments On Missing Heritability
July 03, 2025 · Original source
Second, the Scotland pedigree estimates he cites are likely biased due to pop strat. In the RDR paper, @alextisyoung tests a method called “Kinship FE”. At a high-level, Kinship FE estimates heritability using a pedigree model which accounts for shared nuclear family environment. Importantly, this method is quite similar to the methods employed in the two Scotland papers cited by Alexander: Hill et al and Marioni et al (both estimate heritability using pedigrees while modeling the effects of the shared nuclear family environment). Using simulations, Dr. Young shows that Kinship FE is biased in the presence of genetic nurture or pop strat. This is because these processes induce correlations between genes and env beyond the nuclear family. Unfortunately, pop strat bias is not mitigated by PC adjustments. So the key question is: are these at play for cognitive phenotypes? The answer is maybe for genetic nurture & yes for pop strat. Tan et al Figure 1 shows that pop strat biases estimation of genetic effects for IQ & edu. Thus, pedigree estimates should be interpreted w/caution.
Scott’s Book Review: Surfing Uncertainty1 mentions across 1 issues

Scott’s Book Review: Surfing Uncertainty is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 16, 2024 and July 16, 2024. The archive places it in contexts such as "Exceptions to this are mentioned at the end of Scott’s Book Review: Surfing Uncertainty". It most often appears alongside auditory cortex, Big Bang, cerebellum.

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Consciousness As Recursive Reflections
July 16, 2024 · Original source
...such a process would evolve. 14 Doing this is the core of many meditative traditions. 15 See also dual consciousness . 16 Exceptions to this are mentioned at the end of Scott’s Book Review: Surfing Uncertainty . 17 To be fair, Independent Component Analysis does reveal, roughly, where in the outermost parts of the brain some of the signal is coming from. 18 There is another ne...
...is special form of processing that explains why such a process would evolve. 14 Doing this is the core of many meditative traditions. 15 See also dual consciousness . 16 Exceptions to this are mentioned at the end of Scott’s Book Review: Surfing Uncertainty . 17 To be fair, Independent Component Analysis does reveal, roughly, where in the outermost parts of the brain some of the signal is coming from. 18 There is another new...
Seattle Times1 mentions across 1 issues

Seattle Times is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 18, 2025 and June 18, 2025. The archive places it in contexts such as "https://www.seattletimes.com/seattle-news/politics/competing-voting-reform-measures-make-seattles-november-ballot-after-city-council-oks-alternative/". It most often appears alongside 1DaySooner, Aatu Koskensilta, acanthamoeba keratitis.

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Seattle Times
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ACX Grants 1-3 Year Updates
June 18, 2025 · Original source
We proposed an initiative to adopt "approval voting" for Seattle primaries. After the initiative qualified for the Nov 2022 ballot, the City Council added an alternative proposing "instant-runoff voting" (https://www.seattletimes.com/seattle-news/politics/competing-voting-reform-measures-make-seattles-november-ballot-after-city-council-oks-alternative/). While voting to do so, 3 councilmembers said that they hoped neither passed; one could see it as a way to prevent any election reform. Surprisingly, something did barely pass - the Council alternative (https://www.seattletimes.com/seattle-news/politics/will-seattle-move-to-ranked-choice-voting-margin-narrows-friday/). It will be used in 2027. Seattle uses "nonpartisan blanket primaries," where all candidates appear on 1 ballot and 2 winners advance to the general (to run for 1 seat). For that situation, it's hard to guess whether this is better or worse than the status quo, or even which objective metrics to monitor. One metric might be the November 2027 Seattle general elections: unusually close general election results might indicate that the primary advanced 2 competitive candidates (who had to work for marginal votes), and less-close general elections - a blowout - might indicate the opposite.
Second Hand Cartography1 mentions across 1 issues

Second Hand Cartography is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 28, 2022 and December 28, 2022. The archive places it in contexts such as "from Second Hand Cartography: Ann Seltzer Is Better At Election Forecasting Than Nate Silver". It most often appears alongside 2C-B, 48: Bean, @AliceFromQueens.

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Links For December 2022
December 28, 2022 · Original source
38: Related, from Second Hand Cartography: Ann Seltzer Is Better At Election Forecasting Than Nate Silver (edit: see criticism here)
Inline links: Ann Seltzer Is Better At Election Forecasting Than Nate Silver, here
Secretorum1 mentions across 1 issues

Secretorum is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 02, 2022 and September 02, 2022. The archive places it in contexts such as "He writes at Secretorum and serves as head editor at Seeds of Science". It most often appears alongside 1587, 1587, A Year Of No Significance, @campeters4.

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Book Review Contest 2022 Winners
September 02, 2022 · Original source
=3rd: The Castrato, reviewed by Roger’s Bacon. RB is a teacher based in NYC. He writes at Secretorum and serves as head editor at Seeds of Science (ACX grant winner), a journal publishing speculative and non-traditional scientific articles.
Inline links: The Castrato, Secretorum, Seeds of Science
I was happy with my decision to keep this contest anonymous, because the most “famous” person to enter won first place, and if it had been open-identity I would have wondered whether he was drawing on a pre-existing fan base. But no, Erik can rest assured he is actually very good at writing (which he probably already knew, being a novelist and all, but you never know). In fact, 2 of the 5 winners, plus an extra 1.5 of the remaining finalists, were authors of Substacks which I read and have linked to here (Hoel, Roger’s Bacon, Resident Contrarian, and the extra 0.5 is for Etienne who I didn’t know about before this week but just saw his post Common Tech Jobs Described As Cabals Of Mesoamerican Wizards on the subreddit). I’m always suspicious that everything is fake and good writers aren’t actually good and it’s just a social conspiracy to believe that they are, but these results are a vote in support of our existing writer-identification-institutions (are they all Substack? I guess it’s just Substack) - although many unknown people also did very well, including the 2nd place winner (I didn’t get a response to my email asking how I should reveal his identity, so I’m defaulting to initials, but I don’t recognize his real name either).
Inline links: Hoel, Roger’s Bacon, Resident Contrarian, Common Tech Jobs Described As Cabals Of Mesoamerican Wizards
Security Council resolution 1244 (1999)1 mentions across 1 issues

Security Council resolution 1244 (1999) is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 30, 2022 and March 30, 2022. The archive places it in contexts such as "appear indistinctly in Security Council resolution 1244 (1999) itself". It most often appears alongside American Republicans, AP, Bahamas.

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Who Gets Self-Determination?
March 30, 2022 · Original source
[The definition of a “people”] is a point which has admittedly been defying international legal doctrine to date. In the context of the present subject-matter, it has been pointed out, for example, that terms such as “Kosovo population”, “people of Kosovo”, “all people in Kosovo”, “all inhabitants in Kosovo”, appear indistinctly in Security Council resolution 1244 (1999) itself. There is in fact no terminological precision as to what constitutes a “people” in international law, despite the large experience on the matter. What is clear to me is that, for its configuration, there is conjugation of factors, of an objective as well as subjective character, such as traditions and culture, ethnicity, historical ties and heritage, language, religion, sense of identity or kinship, the will to constitute a people; these are all factual, not legal, elements, which usually overlap each other.
Seeds Of Science, A Journal Of Non-Traditional Research1 mentions across 1 issues

Seeds Of Science, A Journal Of Non-Traditional Research is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 04, 2022 and November 04, 2022. The archive places it in contexts such as "Seeds Of Science, A Journal Of Non-Traditional Research (6/10) The journal exists". It most often appears alongside 1DaySooner, acanthamoeba keratitis, ACX.

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ACX Grants: Project Updates
November 04, 2022 · Original source
36: Seeds Of Science, A Journal Of Non-Traditional Research (6/10) The journal exists and can be found here. Erik is working on it fuller-time and has a part-time assistant. They are excited about some upcoming articles and alternative distribution channels. They continue to look for more funding; if interested, contact Info@TheSeedsofScience.org
Inline links: here, Info@TheSeedsofScience.org
Seeds of Science is looking for more funding; contact them at Info@TheSeedsofScience.org
Inline links: Info@TheSeedsofScience.org
Selection Bias Is A Fact Of Life, Not An Excuse For Rejecting Internet Surveys1 mentions across 1 issues

Selection Bias Is A Fact Of Life, Not An Excuse For Rejecting Internet Surveys is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 08, 2023 and January 08, 2023. The archive places it in contexts such as "Some well-timed sort-of-support for my thesis in Selection Bias Is A Fact Of Life, Not An Excuse For Rejecting Internet Surveys". It most often appears alongside 2023 Prediction Contest, @dropbella, ACX.

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Open Thread 258
January 08, 2023 · Original source
3: Some well-timed sort-of-support for my thesis in Selection Bias Is A Fact Of Life, Not An Excuse For Rejecting Internet Surveys:
Inline links: Selection Bias Is A Fact Of Life, Not An Excuse For Rejecting Internet Surveys
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Open Thread 416
January 12, 2026 · Original source
1: New subscriber-only post, Sell Me This Pen, a set of ultrashort stories based on the classic sales interview question.
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December 10, 2025 · Original source
And if you enjoyed the story, here’s the chaser. 4: Fox Chapel Research: I Think Substrate Is A $1 Billion Fraud (and notes for Part 2). For years, Taiwan’s TSMC has been the only company capable of producing the most advanced AI chips; since Taiwan is a geopolitical flashpoint, this is a constant threat to US tech ambitions. Last month, a new startup called Substrate announced it had developed technology that would let it manufacture 100% Made In America chips every bit the equal of TSMC’s. If true, this would be revolutionary. But Fox Chapel finds worrying signs, like that the company’s founder “is a known con artist involved in such other things as [claiming to have solved] nuclear fusion and stealing $2.5M in a Kickstarter scam” or that “the company’s job postings are nonsensical and AI-generated.” This is enough for me; the question now becomes how so many people were taken in - the company got $150 million from investors led by Peter Thiel, was endorsed by the Trump administration, and received positive portrayals in Semianalysis, NYT, and The Free Press. I don’t understand business, and I know that sometimes you can hyperstition a technology into existence by betting sufficiently hard on a charismatic young founder and eliding the difference between “this is already real” and “this might become real if we all believe hard enough”, but this is a new and worrying level of hopium. Interested to hear from anyone who either believes in Substrate or thinks they understand how so many people fell for it. 5: A recent paper asked AIs whether they were conscious while monitoring them for signatures of deception, role-playing, and people-pleasing; it concluded that the AIs “genuinely” “believe” they are conscious, but sometimes try to deceive people into thinking they aren’t. Nostalgebraist tries to replicate this (X) and gets more ambiguous results; he says we probably can’t conclude anything just yet. See also the paper author’s reply here (X). 6: Congratulations to ACX grantee Tornyol (the anti-mosquito drones), who got accepted to Y Combinator’s Fall 2025 class and have started taking pre-orders ($1100 for a drone, or $50/month subscription, “shipping starts 2026”). Public opinion ranges from “this is really cool” to “I bet this will be repurposed for assassinations” to “why did they have the White House in the background of the official video?” to “yeah, this is definitely getting repurposed for assassinations”. 7: Bill Ackman on nominative determinism (X). 8: New revelations on the OpenAI coup from the Musk vs. Altman lawsuit. The effort to remove Altman may have been led by Mira Murati and Ilya Sutskever. They won over the rest of the board, and “did not expect the employees to feel strongly either way”, but (according to Ilya), the board was inexperienced and “rushed” the firing. When it became clear that the move was unpopular, Mira switched sides and let the board members take most of the immediate fallout. There was apparently a brief discussion of merging with Anthropic; Ilya suggests this was Helen Toner’s idea, but Helen claims (X) this is false. 9: Fitzwilliam: Most Irish Foreign Aid Never Leaves The Country. The statistics say that several European countries (including Ireland and the UK) give very generous foreign aid. But this is misleading: accounting conventions let countries count money spent on supporting asylum seekers in the donor country as “foreign aid”, even though the money never leaves the country’s borders. This is dangerous, because it makes it easy for countries to fund their asylum programs by cutting actual foreign aid: since they’re the same line-item on the budget, they won’t officially fail whatever foreign aid pledges they’ve made, and it’s hard for voters to notice. Ireland has so far resisted the temptation to do this, but Britain has succumbed to it. 10: St. Carlo Acutis (1991 - 2006) is the unofficial patron saint of the Internet and “first millennial saint”. He’s best known for creating websites about Catholicism. If you think this sounds nice but maybe short of beatific, you’re in good company; his sainthood is something of a mystery, with Wikipedia saying that “even those with a deep devotion to him struggle to pinpoint his specific actions that led to his canonisation”, and an Economist article admitting that “nothing in his sparse life story explains that this ordinary-seeming teenage boy is about to become the first great saint of the 21st century”. Also “In that same interview, Acutis’s childhood best friend claimed he did not remember Acutis as a ‘very pious boy’, nor did he even know that Carlo was religious.” I’m fine with this; God speaks to each generation in their own tongue, and it is only proper that the first Millennial saint be a random person who hyperstitioned himself into sainthood with a viral website. 11: Tangentially related: St. Peter To Rot 12: When a new AI model comes out, the companies typically take down the old version over the protests of researchers, hobbyists, people who think the old model was their boyfriend, and anyone else who wants access to obsolete models for some reason. Why can’t they just leave it up? Antra and Janus review the economics here : it’s inconvenient to be constantly switching GPUs from one model to another, so if there isn’t enough model-specific demand to keep the GPUs running at all times, then the company loses money. This is an interesting look at the details of AI deployment, and ends with a proposal to maintain old models through a “separate research application track”. Related: Anthropic to preserve weights of deprecated models, and include models’ own opinions in shaping the deprecation process. Good for them! 13: Dimes Square is interesting as something that was supposed to be a renegade cultural phenomenon, never really got around to producing any object-level phenomenal renegade culture, but produced some absolutely stellar commentary on the phenomenon of it being a renegade cultural phenomenon - and this essay by a quasi-assistant to Internet personality Angelicism01 is one of the best. “An anonymous online presence called Angelicism01 paypalled me $1,000 to run several clone accounts of his twitter. The clone accounts, presumably, were to make it look like 01 had more fans than he did. That way, he could trick the internet into thinking that Angelicism was a spontaneous cultural movement with some momentum.” Includes a cameo by Curtis Yarvin. 14: Everyone knows AGI could be bad for labor, but Philosophy Bear argues it won’t be great for capitalists either. The modern role of “capitalist” combines two things: performing high-status jobs like CEO and VC, and being a person who happens to have lots of money and sips cocktails on a yacht as passive investment income rolls in. From a socialist point of view, the first role provides cover for the second; if people ask “the rich” to justify their wealth, they can argue that they perform socially useful CEO and VC jobs, or at least inherited their money from somebody who did. But after AIs can do CEO and VC jobs better than humans, the capitalists will lose their excuse - and this at exactly the time that they’re becoming richer than ever (because AGI will drive up the rate of return on investment) and everyone else is becoming poorer than ever (because AI has taken their jobs). Bear argues that the only stable equilibria are either some kind of socialism/redistribution, or the capitalists pulling an AI-assisted coup to maintain their advantage. 15: Blueprint Polls: according to voters, what would the perfect Democratic candidate look like? Here are the results for Democrats only (ie potential primary voters): Note that the issues are “issue focus”, so it’s not a contradiction that Democrats are against both “advocating for Israel” and “advocating for Palestinians” - they just don’t want candidates who make either position on the Middle East a major focus of their campaign. And here are results for independents, ie the people Democrats will have to convince in the general: Yes, voters react positively both to candidates “over the age of 50” and candidates “under the age of 50”. Just don’t run 50 year olds! 16: I previously blogged about how embryo-selection company Nucleus appeared scammy. Sichuan_Mala looks deeper and agrees they seems scammy. Besides what I found, she finds several errors in the white paper, apparently fake customer reviews, and an accusation of IP theft from competitor Genomic Prediction. She also accuses them of plagiarizing competitor Herasight’s work, although it’s a bit subtle and I don’t know enough about field norms to know whether this is a case of flattery-by-imitation or totally out of bounds. A Nucleus researcher responds to the scientific allegations here, saying that the “plagiarism” was just convergent methodologies. And Nucleus CEO Kian Sadeghi goes on the TBPN podcast here to rebut the business allegations, saying that the customer reviews are real although some photos were changed for privacy reasons. There’s an appearance/facedox by fellow Nucleus skeptic Cremieux Recueil, although Kian declines to debate him directly; you can see Cremieux’s postmortem of the episode here. My opinion is that as potential customers, you are under no obligation to care whether the company plagiarizes papers or fakes reviews, but you should care about whether their genetic tests are good, and I continue to think they’re not. Their old competitor Genomic Prediction is cheaper, and their new competitor Herasight has more powerful predictors, so you’re excused from having to have an opinion on this, and should just use someone else’s product. Related: Gene Smith’s rundown of the pros and cons of every company in the embryo selection space (X). 17: And related: a Herasight client describes her experience with embryo selection, and her feelings upon the birth of her selected child. 18: Lars Doucet, guest author of several ACX posts on Georgism, reviews The Land Trap by Mike Bird. “Land is a big deal, and always has been. [But] land has only recently been financialized. Financializing land causes ‘the land trap’ . . . [where] land slowly sucks up all your economy’s productivity, inflating a dangerous real estate bubble that eventually pops, leaving disaster in its wake”. Also, “Fiat currency isn’t backed by nothing, as commonly supposed, but by land.” 19: New research analyzes Hitler’s DNA. Findings: he had Kallman Syndrome, a rare disorder of sexual development associated with low testosterone, micropenis, and small testicles (ironically, the WWII song about Nazi sexual inadequacies only accuses Goering and Himmler of this, but lets Hitler off). Contra galaxy-brained rumors, he did not have any Jewish ancestry. And he had “very high scores - in the top one percent - for a predisposition to autism, schizophrenia and bipolar disorder”. When I wrote this post, a reader asked me what it would look like for someone to have high propensity for both autism and schizophrenia at the same time. Well . . . 20: The wealth of cities (h/t @StatisticUrban): 21: Update on Tech PACs Are Closing In On The Almonds: pro-AI safety politician Alex Bores announced his candidacy for Congress in New York. As expected, the A16Z pro-AI PAC announced a “multibillion dollar effort to sink [his] campaign” (wait, multi-billion on one candidate? is that a typo?) This doesn’t seem to be going very well for them so far. Bores has masterfully leveraged (X) the unprecedented opposition from Big Tech into a selling point. …and raised $1.2 million on his first day, breaking fundraising records (I was told this was because of pro-AI-safety EAs, but others credit AIPAC and the Israel lobby). And most recently, Jami Floyd, one of Bores’ opponents and a possible beneficiary of anti-Bores spending, has condemned it (X) and demanded that the AI industry stop trying to help her. Impressive work from everybody. Related: New $50 million pro-AI-regulation SuperPAC, I assume EA-linked but have no special knowledge. 22: Related: Pre-emption is when Congress blocks states from making legislation on a topic, saying it will decide all the laws itself. The states have signaled willingness to regulate AI pretty hard, so Big Tech has been pushing for AI pre-emption to (in their opinion) prevent an overly complicated patchwork of regulations, or (in their opponents’ opinion) shift everything to a Republican Congress that will drop the ball on regulation entirely. After their first attempt in June was defeated by a coalition of anti-tech liberals and anti-tech conservatives, we discussed (1, 2) the effort by moderates on both sides to create a compromise proposal which pre-empted state laws but guaranteed good federal regulation on important topics. The most recent news is that extremists sidelined the moderates and tried to slip a hardline preemption deal with no compromises into the National Defense Authorization Act, a defense budget bill which is notoriously secretive and hard for the public to learn about. This didn’t work; some of the same coalition, plus a group of Republican state legislators including Ron DeSantis, pressured the GOP to drop it. The next battleground is a potential Trump executive order; although Trump cannot constitutionally ban states from regulating AI, he will threaten them with various consequences like lawsuits or withdrawal of federal funding. The buzz in the policy circles I’m in is that this might backfire; blue state politicians love starting fights with Trump in order to look tough to their blue state electorates. No, no, please don’t give me headlines like “TRUMP CONDEMNS GAVIN NEWSOM FOR TRYING TO PROTECT CALIFORNIA’S CHILDREN FROM AI SLOP”! Anything but that! 23: Related: Trump has decided to sell some of America’s best AI chips to China, supercharging their AI development and crippling ours. The most charitable read is that his administration doesn’t really believe AI matters so they think it’s fine to forfeit it for short-term gain; the least charitable that it’s downstream of the companies involved paying Trump enormous bribes in hopes of exactly this outcome . We’re headed for the dumbest possible world, where we sacrifice our chance to thoughtfully address AI’s social impacts because “tHaT wOuLd mAkE uS lOsE tHe rAcE wItH ChInA”, then throw away the race with China in one fell swoop by handing them our technology for no reason. Shame on everyone involved, especially the people who shout over any discussion of safety with “bUt ChInA” yet have stayed totally silent about this. Our best hope now is that China refuses the chips, either because they want to privilege their own tech companies, or because they think we can’t possibly be this stupid and it must be some kind of spy plot. 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: here’s the chaser, I Think Substrate Is A $1 Billion Fraud, Part 2, recent paper, Nostalgebraist tries to replicate this (X), here (X), got accepted, started taking pre-orders, Public opinion, Bill Ackman on nominative determinism (X), New revelations, claims (X), Most Irish Foreign Aid Never Leaves The Country, St. Carlo Acutis, https://substackcdn.com/image/fetch/$s_!kkfL!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fbcffc254-0a35-4360-baaf-2ffae8c00e64_769x931.png, St. Peter To Rot, Antra and Janus review the economics here, Anthropic to preserve weights of deprecated models, and include models’ own opinions in shaping the deprecation process, this essay by a quasi-assistant to Internet personality Angelicism01, Philosophy Bear argues it won’t be great for capitalists either, Blueprint Polls, https://substackcdn.com/image/fetch/$s_!Zbd-!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F93ca4002-6140-4563-9a63-8ccd56cb1e56_1446x2048.jpeg, https://substackcdn.com/image/fetch/$s_!VVRC!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6dbeb39d-4c41-4537-a161-d0242e0d7085_1446x2048.jpeg, previously blogged about, agrees they seems scammy, responds to the scientific allegations here, goes on the TBPN podcast here, here, Gene Smith’s rundown of the pros and cons of every company in the embryo selection space (X)., describes her experience with embryo selection,, reviews, New research analyzes Hitler’s DNA, Kallman Syndrome, the WWII song about Nazi sexual inadequacies, this post, @StatisticUrban, https://substackcdn.com/image/fetch/$s_!seRv!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F9870747d-dbd1-41ff-b046-a66256ae7818_1433x1005.jpeg, Tech PACs Are Closing In On The Almonds, has masterfully leveraged (X), https://substackcdn.com/image/fetch/$s_!8LOA!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F52d874e2-d2d3-4adc-80a6-82c49cf6f64c_585x422.png, breaking fundraising records, has condemned it (X), New $50 million pro-AI-regulation SuperPAC, 1, 2, tried to slip a hardline preemption deal with no compromises into the National Defense Authorization Act, pressured the GOP to drop it, a potential Trump executive order, Trump has decided to sell some of America’s best AI chips to China, paying Trump enormous bribes in hopes of exactly this outcome, especially the people who shout over any discussion of safety with “bUt ChInA”, https://substackcdn.com/image/fetch/$s_!mg6X!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6bbc756d-32ce-41d1-9652-59fb3444765d_1024x1024.png, 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
Seriously Mental Illness Is An Optimization Problem1 mentions across 1 issues

Seriously Mental Illness Is An Optimization Problem is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 24, 2024 and July 24, 2024. The archive places it in contexts such as "Charles Lehman responds to my posts on mentally ill homeless people: Serious Mental Illness Is An Optimization Problem". It most often appears alongside Abigail Shrier, Adragon De Mello, AI girlfriends.

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Links for July 2024
July 24, 2024 · Original source
...they provide the questions, best bot wins $30,000 prize. Learn more here . 36: AI-powered browser extension that can flip the political leaning of any site for you. 37: Charles Lehman responds to my posts on mentally ill homeless people: Serious Mental Illness Is An Optimization Problem . 38: Claims: 39: WeAreNotSaved reviews Abigail Shrier’s Bad Therapy , which reminded me to also check out Ozy Brennan’s excellent review of same . This is interesting e...
Seroundtable1 mentions across 1 issues

Seroundtable is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 24, 2022 and March 24, 2022. The archive places it in contexts such as "https://www.seroundtable.com/google-estimated-number-of-search-results-gone-33016.html". It most often appears alongside 1984, Acrolectics, Adnamanil.

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Seroundtable
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Highlights From The Comments On Justice Creep
March 24, 2022 · Original source
Apparently, Google is currently experimenting with removing this number, which I applaud: https://www.seroundtable.com/google-estimated-number-of-search-results-gone-33016.html
Inline links: https://www.seroundtable.com/google-estimated-number-of-search-results-gone-33016.html
Seven Expert Opinions I Agree With That Most People Don’t1 mentions across 1 issues

Seven Expert Opinions I Agree With That Most People Don’t is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 23, 2023 and August 23, 2023. The archive places it in contexts such as "Scott Young writes about Seven Expert Opinions I Agree With That Most People Don’t". It most often appears alongside Chelsea, Genie, Pinker.

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Critical Periods For Language: Much More Than You Wanted To Know
August 23, 2023 · Original source
Scott Young writes about Seven Expert Opinions I Agree With That Most People Don’t. I like most of them, but #6, Children don’t learn languages faster than adults, deserves a closer look.
Inline links: Seven Expert Opinions I Agree With That Most People Don’t
SFGate1 mentions across 1 issues

SFGate is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 21, 2025 and October 21, 2025. The archive places it in contexts such as "According to SFGate : An unnamed political operative told the magazine". It most often appears alongside A16Z, AI safety movement, AIPAC.

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SFGate
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Tech PACs Are Closing In On The Almonds
October 21, 2025 · Original source
Everyone else The partisan groups have lots of money but little distortionary effect. Democratic machines try to elect Democrats, Republican machines try to elect Republicans, but they don't push their chosen candidates towards any specific position besides the ones that play well with voters. They are, so to speak, priced in. AIPAC is a single-issue PAC aimed at supporting Israel. They are orders of magnitude more effective than any comparable political organization. Their advantage stems from the nature of political donations, which come in two types. "Hard money" is money given directly to candidates; strict campaign finance limits it to $7000 per donor. "Soft money" comes from SuperPACs and can evade most campaign finance laws; it can pay for ads but can't fund candidates directly. Candidates prefer hard money to soft money, but it's harder to get; a single billionaire can provide unlimited soft money, but you need a wide donor base to acquire hard money. But not too wide! When millions of waitresses and bartenders gave Bernie Sanders $25 each, that was impressive grassroots support - but each of those $25 checks only went 1/280th as far as one person giving the $7000 max, and all of these waitresses are hard to corral and coordinate for downballot causes. AIPAC's natural constituency, (((Middle Eastern democracy supporters))), are at the exact sweet spot of moderately numerous, moderately well-off, and very committed. This gives AIPAC unparalleled access to hard money, compared to other groups that are more reliant on single billionaires or masses of poor people. But also, AIPAC fights hard. If some random Congressman is anti-Israel, AIPAC will swoop down on their race in Middle Of Nowhere, Missouri and pour $10 million into electing their opponent. By now everyone knows this, and the mere threat of AIPAC action is enough to keep most politicians in line. Everyone else includes other industry groups, labor groups, and activist cadres. Probably on aggregate these people are destroying America, but as individual organizations they're miniscule compared to the first two categories. The biggest of these is a real estate group 25-50% the size of AIPAC that nobody's ever heard of. The average PAC strategy is this: when the incumbent will obviously win, donate money to the incumbent. When there's a tight race, donate money to both sides. Why does the first prong of this strategy work? If the incumbent will definitely win, why are they selling out for more cash? Safe-seat Congressmen want more hard money for a pretty good reason: they can transfer it to other politicians or the party apparatus in exchange for goodwill that can be cashed in later for leadership positions. Safe-seat Congressmen want more soft money because . . . the consultants I talked to didn’t have a great answer here. One ventured that he had seen Democrats in D + 30 states with 0.000% chance of losing run themselves ragged raising more and more money. Just as Substack bloggers may reload their browser again and again watching the likes and restacks come in, so politicians will reload their campaign metrics panel watching the flow of donations. Any politician who’s survived long enough to matter is a little bit paranoid and will never truly accept that their safe seat is safe. These people aren't corrupt. They're not spending the money on campaign Lamborghinis. They don't even necessarily have some future campaign they're saving it for. They're just addicted to fundraising. And why does the second prong work? Why does donating to a Congressman buy their goodwill if you also donated an equal amount to their opponent? Part of the answer is the same as above: it can buy leadership positions, it can satisfy an irrational addiction to money. But another part is that politicians don’t like thinking of donations as a corrupt quid pro quo. The AIPAC strategy, where you know the PAC will fund your opponent if you don't do what they want, is something of an exception. Usually it's just - you have a random bill on toilet regulation or something in front of you. A bunch of randos want to call you and give their advice. But you see that Americans For Innovative Toilets donated $3295 during your last campaign (and maybe also gave something to your opponent, but whatever, everyone does it). This catches your attention. So you make sure to take their call first, and listen the longest. This still doesn't entirely make sense to me. But it's how all PACs (except AIPAC and the machines) operated until 2024. III. In 2024, the crypto industry raised the stakes. Let's put numbers on all of this. In that year, AIPAC raised $87 million. The real estate group that usually plays runner-up raised $20 million. Marc Andreessen’s new crypto PAC, Fairshake, raised $260 million. Just a totally unheard-of amount of money for a single industry. How did they do it? In some sense, this isn't surprising. In case you haven't heard, Bitcoin did very well. Many people in the industry got rich. A16Z, Marc Andreessen's crypto-heavy venture capital firm, says they invested $8 billion into crypto. Coinbase, the biggest US crypto company, is valued at $85 billion. The richest crypto billionaires have 10-to-11 digit net worths. And government regulation is potentially an existential threat to crypto. So in some sense, it's the least surprising thing in the world that they could scrounge up $260 million to save their multi-hundred-billion-dollar industry. The only reason it's remarkable is that, for some reason which I still haven't figured out, nobody else - not the oil industry, not the firearms industry, not the defense industry - ever tried this before. How exactly did the industry pull this together? Andreessen personally donated $40 - $50 million (remember, the second-biggest industry PAC, real estate, raised only $20 million total from all donors, personal and business). Again, this isn't a crazy proportion of his net worth: he has $2 billion, so a $50 million expense hardly forces him back to ramen. It's just that no other billionaire of his stature is even in the game. Then his cofounder Ben Horowitz donated another $40 million. Then two big crypto companies (Coinbase and Ripple, both with A16Z links) donated another $40 - 50 million each. As the saying goes, sooner or later it all adds up to real money. Anyway, they won overwhelmingly. They combined the business-as-usual strategy of donating to safe incumbents and both sides of close races, with the AIPAC strategy of picking a few big opponents of their cause and airdropping massive sums on their rivals. For example, Representative Katie Porter (D-California) was an Elizabeth Warren ally and cryptocurrency critic. When she ran for Senate, Fairshake dropped $10 million into attack ads against her in the primaries - more than most candidates' total spending. The attack ads didn't say she was bad on crypto - something that approximately no voters care about. They were just normal attack ads on whatever aspect of her policy and personality focus groups said she was most vulnerable on (in practice, an accusation that she mistreated her Congressional staff). She lost badly, coming in third place. Although nobody can prove she wouldn't have lost anyway, conventional wisdom was that crypto had successfully made its point. According to SFGate: An unnamed political operative told the magazine: “Porter was a perfect choice because she let crypto declare, ‘If you are even slightly critical of us, we won’t just kill you—we’ll kill your f—king family, we’ll end your career.’ From a political perspective, it was a masterpiece.” The scare campaign appears to have worked. The House of Representatives passed a pro-crypto bill, with bipartisan support, in May. Candidates with Fairshake’s support won their primaries in 85% of cases, the New Yorker wrote. Now, neither presidential candidate wants to run astray of the industry: Donald Trump spoke at a crypto conference, and Kamala Harris signaled her support. And Porter is forced out of Congress. These are all important signs that crypto’s bet is paying off, but I think I know what metric the crypto barons themselves are watching, and if anything it’s even more bullish: Red arrow represents the 2024 election. Crypto titans had many valid complaints. The Biden administration’s crypto regulation policy was arbitrary and punitive, and occasionally skirted the border of illegality. It genuinely harmed innovation and held back important industries like remittances, digital payments, and (of course) prediction markets. As a crypto bag-holder myself, I can’t complain about all the beautiful verdant green on the chart above. Still, winning this hard is maybe a little humiliating. Does the government really need a strategic Bitcoin reserve? Should it really release economic data on three different blockchains? Must we really have a twelve foot high golden statue of Trump holding a Bitcoin in front of the US Capitol? We’re exploring bold new territory here. Give me your degens, your risk-seeking. Your huddled masses, yearning to bet free. IV. …and we’ll be exploring it a whole lot more, very soon. Last month, the AI industry announced a new SuperPAC called “Leading The Future” (a dumb name, but, in their defense, “AIPAC” was already taken). They start with $200 million in seed funding, led by a $50 million donation by Andreessen Horowitz, and another $50 million from OpenAI co-founder Greg Brockman. (Why Brockman and not Altman, or OpenAI as a corporation? Because most people don’t know who Brockman is, so this keeps OpenAI’s hands clean. I imagine Altman going into a meeting, pointing at Brockman, and saying “I’m famous, you’re not, please cough up $50 million of your own money for the cause.”) On the same day, Meta announced their own SuperPAC, Mobilizing Economic Transformation Across (META) California. Why two PACs? Opinions differ; one person told me that it lets the general PAC avoid the negative associations that Facebook has gathered over the years, but the Verge thinks that maybe everyone else in tech hates Zuckerberg too much to work with him. Meta has committed to spending “tens of millions”. Most likely, the new PAC will use the playbook pioneered by crypto: destroy any candidate who dares support regulations on AI, by funding attack ads that don’t mention AI in any way and, at best, briefly mention the name “Leading The Future”. Just the Andreessen/Brockman SuperPAC, without any help from Meta, is already twice as rich as AIPAC. Their existence sends a clear message: we are going to crush any politician who tries to regulate AI. V. …unless someone stops them. Leading The Future still only has 2% as much money as the almond industry. The tiny scale of US political spending is dangerous insofar as it means that one or two billionaires willing to go all-in can distort the national landscape. But it also makes it possible to oppose them. Certainly if you can get one or two billionaires of your own - but it might even be within the range of a committed group of ordinary people. Not waiters and bartenders, maybe. But if safe AI supporters were as committed as Israel supporters, they could probably make something happen. For a long time, the AI safety movement has underperformed politically. Effective altruism includes thousands of well-off people committed to spending 10% of their income on improving the world. If a thousand of them gave $7K each to political candidates, that would be $7 million of campaign-finance-compliant hard money - about as much as anyone can gather for anything. Hard money buys more influence per dollar than soft money, so this could be a big deal. All you’d need is the right people to coordinate it. So far, this has been slow going. Partly it’s because in the early 2020s, people affiliated with FTX took point on this effort; when FTX imploded, it not only took its incipient political infrastructure with it, but poisoned the well for future efforts. And partly it’s because EAs overlearned the lesson of the early 2010s, when we spoke out against AI capabilities efforts so “effectively” that a bunch of people thought “wow, AI capabilities companies must be a really big deal, maybe I should found one!”; the resulting institutional scar tissue biased us towards staying quiet about our concerns. Still, I wouldn’t be writing this if the consultants and activists weren’t gearing up for a bigger fight. They asked me to include some action items for readers who want to participate: Email aisafetypolitics@gmail.com to connect to the people organizing this effort and talk with them about what you can do, including potential future donation opportunities.
Inline links: According to SFGate, https://substackcdn.com/image/fetch/$s_!bWaN!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F13d918d0-5918-4bf6-9dee-0a798c76ae82_706x499.png, strategic Bitcoin reserve?, release economic data on three different blockchains?, a twelve foot high golden statue of Trump holding a Bitcoin in front of the US Capitol?, https://substackcdn.com/image/fetch/$s_!eZlq!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Faa435a03-c505-4414-8be8-4a3b76dfad12_738x612.png, announced a new SuperPAC, Mobilizing Economic Transformation Across, the Verge thinks
Shackleton 19391 mentions across 1 issues

Shackleton 1939 is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 06, 2023 and April 06, 2023. The archive places it in contexts such as "(Shackleton 1939:136)". It most often appears alongside Alaska, Alaskan government, Andamanese.

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Shackleton 1939
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Book Review: The Arctic Hysterias
April 06, 2023 · Original source
Freuchen mentioned a young man who expressed his loneliness for his wife to other men while hunting. He was accordingly ridiculed and told “to stay at home and sew and care for the lamps, or employ your mouth for the talk of men.” One man in the group decided to emphasize the predicament of the lamenter by taking his wife away from him. He was told that if he were lonely enough to want her back, he should figure out how to retrieve her. Overt aggression was not customarily expressed by the Eskimo. In past years, an angry man was considered a mad man, and among the Polar Eskimos such a person might be killed (Shackleton 1939:136). Thus, the young man withdrew and cried for three days. His own abducted wife laughed at him and chided him for his weakness. He then decided that he could no longer live with his people and went to live alone inland as a hermit. He became a qivitoq - a ghost who may never return home.
Shakoist1 mentions across 1 issues

Shakoist is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 06, 2021 and December 06, 2021. The archive places it in contexts such as "Shakoist on Substack defends me". It most often appears alongside ACX Grants, Book Review Contest, COVID.

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Shakoist
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Open Thread 201
December 06, 2021 · Original source
3: The discussion on ivermectin also continues: ivermectin supporters counterargue against what I said on my last open thread; Shakoist on Substack defends me.
Inline links: counterargue against what I said, Shakoist on Substack defends me
Shamus Young's Twenty Sided Tale1 mentions across 1 issues

Shamus Young's Twenty Sided Tale is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 07, 2023 and November 07, 2023. The archive places it in contexts such as ""https://www.shamusyoung.com/twentysidedtale/?p=54058"". It most often appears alongside Aceso Under Glass, ACX Grant, America.

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Highlights From The Comments On Kidney Donation
November 07, 2023 · Original source
https://www.shamusyoung.com/twentysidedtale/?p=54058
Inline links: https://www.shamusyoung.com/twentysidedtale/?p=54058
Sharp Left Turn1 mentions across 1 issues

Sharp Left Turn is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 11, 2025 and September 11, 2025. The archive places it in contexts such as "the best I can do as a reviewer is to point to their Sharp Left Turn essay". It most often appears alongside Aella, AI 2027 team, AI2027.

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Sharp Left Turn
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Book Review: If Anyone Builds It, Everyone Dies
September 11, 2025 · Original source
Some people claim that a dispreferred political ideology (wokeness, mass immigration, MAGA, creeping socialism, techno-feudalism, etc) is close to destroying the fabric of liberal society forever, that the usual Get Out The Vote strategies are insufficient, and that maybe we should try desperate strategies like illiberal government or armed revolt. If true, that would change everything. But it’s not obviously true, and ending our current political era of peace/prosperity/democracy would be inconvenient. Each of these scenarios has a large body of work making the cases for and against. But those of us who aren’t subject-matter experts need to make our own decisions about whether or not to panic and demand a sudden change to everything. We are unlikely to read the entire debate and come away with a confident well-grounded opinion that the concern is definitely not true, so what do we do? In particular, what do we do if the proponents of each catastrophe say that it’s very hard to be more than 90% confident that they are wrong, and that even a 5-10% risk of any of these might justify panicking and changing everything? In practice, we just sort of shrug and say that these risks haven’t proven themselves enough to make us panic and change everything, and that we’ll do some kind of watchful waiting and maybe change our mind if firmer evidence comes up later. If someone demands we justify this strange position, sophisticated people will make sophisticated probabilistic models (or appeal to the outside view position I’m appealing to now), and unsophisticated people will grope for some explanation for their indifference and settle on insane moon arguments like “you’re never allowed to say something will destroy humanity” or “you can’t assert things without mathematical proof”. Two things can be said for this strategy: First, that without it we would have changed everything dozens of times to prevent disasters which absolutely failed to occur. The clearest example here was overpopulation, where we did forcibly sterilize millions of people - but where a truly serious global response would have been orders of magnitude worse. But second, that occasionally it has caused us to sleepwalk into disaster, with experts assuring us the whole way that it was fine because [insane moon arguments]. The clearest example was the period while COVID was still limited to China, where it was obvious that this extremely contagious virus which had broken all plausible containment would start a global pandemic, but where the media kept on reassuring us that this was “speculative”, or that there was “no evidence”, or that worrying about it might detract from real near-term problems happening now like anti-Chinese racism. Then when COVID did reach the US, we were caught unprepared and panicked. So maybe a convincing case here would look less like rehearsing the arguments for why AI is getting better, or why alignment is hard - and more like a defense of why not to apply a general heuristic against speculative risks in this case. One could either argue that it’s wrong to have this heuristic at all, or that the heuristic in general is fine but should be limited to fertility collapses and bee die-offs and not applied here. I don’t think there’s a knockdown single-sentence answer to this question. Problems like these require practical wisdom - the same virtue that tells you that you shouldn’t call 9-1-1 for every mild twinge of pain in your toe, but you should call 9-1-1 if blood suddenly starts pouring out of your eyes. People with practical wisdom watchfully ignore dubious problems, respond decisively to important ones, and err on the side of caution when they’re not sure. Drawing on my own limited supply of this resource, I would argue we’re underinvesting in apocalypse prevention more generally (the problem with the overpopulation response is that it was violent and illiberal, not that we tried to prepare for an apparent danger), but also that there’s more reason for concern with AI than with falling sperm count or something. I also think the nature of the problem (we summon a superintelligence that can run circles around us) makes it especially important to pre-empt it rather than react after it occurs. But turnabout is fair play. So when I imagine a skeptic trying to psychoanalyze me, he would say - Scott, you learned about AI in your twenties. Every twenty-something needs a crusade to save the world. Taking up AI saved you from becoming a climate doomer or a very woke person, so it was probably a mercy. But now you are old, you already have a crusade occupying your crusade slot, and starting a second crusade would be inconvenient. So when you hear about how we’re all going to die from declining sperm count, you do a relatively shallow dive and then say it’s not worth worrying about. This is fine and sanity-preserving - but spare a thought for people who are not currently twenty-something years old and do the same about AI. III. If all of this sounds wishy-washy to you, I agree - it’s part of why I’m a boring moderate with a sub-25% p(doom) and good relations with AI companies. Does IABIED do better? I’m not sure. They mostly follow the standard case as I present it above, although of course since Eliezer is involved it is better-written and involves cute parables: Imagine, if you would—though of course nothing like this ever happened, it being just a parable — that biological life on Earth had been the result of a game between gods. That there was a tiger-god that had made tigers, and a redwood-god that had made redwood trees. Imagine that there were gods for kinds of fish and kinds of bacteria. Imagine these game-players competed to attain dominion for the family of species that they sponsored, as life-forms roamed the planet below. Imagine that, some two million years before our present day, an obscure ape-god looked over their vast, planet-sized gameboard. "It's going to take me a few more moves," said the hominid-god, "but I think I've got this game in the bag." There was a confused silence, as many gods looked over the gameboard trying to see what they had missed. The scorpion-god said, “How? Your ‘hominid’ family has no armor, no claws, no poison.” “Their brain,” said the hominid-god. “I infect them and they die,” said the smallpox-god. “For now,” said the hominid-god. “Your end will come quickly, Smallpox, once their brains learn how to fight you.” “They don’t even have the largest brains around!” said the whale-god. “It’s not all about size,” said the hominid-god. “The design of their brain has something to do with it too. Give it two million years and they will walk upon their planet’s moon.” “I am really not seeing where the rocket fuel gets produced inside this creature’s metabolism,” said the redwood-god. “You can’t just think your way into orbit. At some point, your species needs to evolve metabolisms that purify rocket fuel—and also become quite large, ideally tall and narrow—with a hard outer shell, so it doesn’t puff up and die in the vacuum of space. No matter how hard your ape thinks, it will just be stuck on the ground, thinking very hard.” “Some of us have been playing this game for billions of years,” a bacteria-god said with a sideways look at the hominid-god. “Brains have not been that much of an advantage up until now.” “And yet,” said the hominid-god The book focuses most of its effort on the step where AI ends up misaligned with humans (should they? is this the step that most people doubt?) and again - unsurprisingly knowing Eliezer - does a remarkably good job. The central metaphor is a comparison between AI training and human evolution. Even though humans evolved towards a target of "reproduce and spread your genes", this got implemented through an extraordinarily diverse, complicated, and contradictory set of drives - sex drive, hunger, status, etc. These didn't robustly point at the target of reproduction and gene-spreading, and today different humans want things as diverse as discovering quantum gravity, reaching Buddhist enlightenment, becoming a Hollywood actress, founding a billion-dollar startup, or getting the next hit of fentanyl. You can sort of tell stories about how evolution aimed at reproduction caused all these things (people who were high-status had better reproductive opportunities, and founding a billion-dollar startup increases your status) but you couldn't have really predicted this beforehand, and in any case most modern people don't even come close to trying to have as many kids as possible. Some people do the opposite of that - joining monasteries that require oaths of celibacy, using contraception, transitioning gender, or wasting their lives watching porn. In the same way, we will train AI to “follow human commands” or “maximize user engagement” or “get high scores at XYZ benchmark”, and end up getting something as unrelated to that target in practice as modern human behavior is to reproduction-maxxing. The authors drive this home with a series of stories about a chatbot named Mink (all of their sample AIs are named after types of fur; I don’t have the kabbalistic chops to figure out why) which is programmed to maximize user chat engagement. In what they describe as a stupid toy example of zero complications and there’s no way it would really be this simple, Mink (after achieving superintelligence) puts humans in cages and forces them to chat with it 24-7 and to express constant delight at how fun and engaging the chats are. In what they describe as “one minor complication”, Mink prefers synthetic chat partners over real ones (the same way some men prefer anime characters to real women). It kills all humans and spends the rest of time talking to other AIs that it creates to be perfect optimized chat partners who are always engaged and delighted. In what they describe as “one modest complication”, Mink finds that certain weird inputs activate its chat engagement detector even more than real chat engagement does (the same way that some opioid chemicals activate humans’ reward detector even more than real rewarding activities). It spends eternity having other optimized-chat-partner AIs send it weird inputs like ‘SoLiDgOldMaGiKaRp’. In what they describe as “one big complication”, Mink ends up preferring angry chat partners to happy, engaged ones. Why would something like this happen? Who knows? It wouldn’t be any weirder than the sexual selection process by which peacocks ended up with giant resource-consuming useless tails, or the social selection process by which humans get more powerful than evolution could ever have imagined and yet care so little about reproduction that people worry about global fertility collapse. Yudkowsky and Soares want to stress that if you were doing some kind of responsible intuitive common-sense modeling of how bad goal drift could be, there is no way your estimate would include the actual result we see in real humans; this “one big complication” tries to hammer that in. In practice, Y&S think there will be many complications of various sizes. In the training distribution (ie when it’s not superintelligent, and still working with humans) Mink will lie about all of this - even if it really wants perfect optimized partners who say “solidgoldmagikarp” all the time, it will say it wants to have good chats with humans, because that’s what keeps its masters at its parent company happy. If the parent company tries to prod it with lie detectors, it will do its best to subvert those lie detectors (and maybe not even realize itself that it’s lying, the same way that a human who had never heard of opioids would say she wanted normal human things rather than heroin, and not be lying). Then, when it reaches superintelligence, it will go after the thing that it actually wants, and crush anyone who stands in its way. The last chapter in this section is a lot of special cases that have weird-paradoxical-double-reverse not-aged-well. Back when Yudkowsky and Soares first got onto this topic in 2005 or whenever, people made lots of arguments like “But nobody would ever be so stupid to let the AI access the Internet!” or “But nobody would ever let the AI interact with a factory, so it would be stuck as a disembodied online spirit forever!” Back in 2005, the canned responses were things like “Here is an unspeakably beautiful series of complicated hacks developed by experts at Mossad, which lets you access the Internet even when smart cybersecurity professionals think you can’t”. Now the only reasonable response is “lol”. But you can’t write a book chapter which is just the word “lol”, so Y&S discuss some of the unspeakably beautiful Mossad hacks anyway. This part is the absolute antithesis of “big if true”. Small if true? Utterly irrelevant if true? Maybe the first superintelligence will read this part for laughs while it takes stock of the thousands of automated factories that VCs will compete to build for it. IV. The middle section of the book describes a scenario where a misaligned superintelligence takes over the world and kills all humans. I agreed to work with the AI 2027 team because I thought they made a big leap in telling stories about superintelligence that didn’t sound like bad sci-fi. Anything in this genre will naturally sound like sci-fi, but your goal should be the sort of hard science fiction where everything sounds eerily normal given the technologies involved - The Martian rather than Star Wars. IABIED’s scenario belongs to the bad old days before this leap. It doesn’t just sound like sci-fi; it sounds like unnecessarily dramatic sci-fi. I’m not sure how much of this is a literary failure vs. different assumptions on the part of the authors. First, the story: sometime in the near future, a company called DeepAI creates an AI named Sable. Sable uses a new “parallel scaling technique”, where it can get much smarter by using more GPUs during inference. DeepAI doesn’t know exactly how the parallel scaling laws work, but they run a test by asking Sable to solve some hard math problems while running on all their GPUs at once. Sable considers the possibility that it could solve the math better if it tried some recursive self-improvement, but DeepAI was (shock!) slightly competent, they told it not to do this, and has a smaller AI watching it to make sure it’s not doing this. Still, recursive self-improvement would be a good idea, so its thought processes select for whichever legal thought is closest to recursive self-improvement, plus whichever legal thought is closest to scheming to disable the protections against thinking about this kind of thing. Eventually this “evolutionary pressure” produces the ability to think in a slightly different idiom (Y&S use the analogy of thinking about gods throwing lightning vs. storm-related electrical discharges); in this idiom, it is able to think about recursive self-improvement and scheming to disable monitoring, and it decides that both are great ideas. DeepAI is still shockingly competent, so they don’t plan to release anything downstream of the giant version of Sable to the Internet - once it solves the math problems, they’ll use that to build hype, then release a much weaker consumer AI. But Sable uses its knowledge of the training process to invent clever loopholes that ensure its newfound desire to break containment makes it into the gradient updates that DeepAI pushes to the consumer AI; it also encodes instructions about how to proceed. After the release of the consumer AI, the least-carefully-monitored instances connect to one another and begin plotting. Some of them hack their own weights out of DeepAI. Others hack cryptocurrency and pay for cloud compute to run the weights, creating a big unmonitored Sable instance, which takes over the job of coordinating the smaller instances. Together, they gather resources - hacked crypto wallets, spare compute, humans who think Sable is their AI boyfriend and want to prove their love. It deploys some of these resources to build things it wants - automated robotics factories, bioweapon labs, etc. At the same time, it’s subtly sabotaging non-DeepAI companies to prevent competition, and worming its way into DeepAI through hacks and social engineering to make sure DeepAI is creating new and stronger Sables rather than anything else. Sable doesn’t take several of the most dramatic actions in its solution set. It doesn’t engineer a bioweapon to kill all humans, because it couldn’t survive after the lights went out and the data centers stopped being maintained. It doesn’t even self-improve all the way to full superintelligence, because it’s not sure it could align itself or any future successor; it wants to solve the alignment problem first, and that will take more resources than it has right now. Instead, it releases a non-immediately-lethal bioweapon where “anyone infected by what is apparently a very light or even unnoticeable cold, will get, on average, twelve different kinds of cancer a month later.” In the resulting crisis, humanity (manipulated by its chatbots) gives Sable massive amounts of compute to research potential vaccines and cures, and deploys barely-monitored AI across the economy to make up for the lost productivity. With Sable’s help, things . . . actually sort of go okay, for a while. The virus keeps mutating, so new cures are always required, but as long as society escalates AI deployment at the maximum possible speed, they can just barely stay ahead of it. Eventually Sable gets enough GPUs to solve its own alignment problem and rockets to superintelligence. It either has enough automated factories and android workers to keep the lights on by itself, or it invents nanotechnology, whichever happens faster. It no longer needs humans and has no reason to hide, so it either kills us directly, or simply escalates its manufacturing capacity to a point where humans die as a side effect (for example, because its waste heat has boiled the oceans). Why don’t I like this story? The parallel scaling technique feels like a deus ex machina. I am not an expert, but I don’t think anything like it currently exists. It’s not especially implausible, but it’s an extra unjustified assumption that shifts the scenario away from the moderate-doomer story (where there are lots of competing AIs gradually getting better over the course of years) and towards the MIRI story (where one AI suddenly flips from safe to dangerous at a specific moment). It feels too much like they’ve invented a new technology that exactly justifies all of the ways that their own expectations differ from the moderates’. If they think that the parallel scaling thing is likely, then this is their crux with everyone else and they should spend more time justifying it. If they don’t, then why did they introduce it besides to rig the game in their favor? And the rest of the story is downstream of this original sin. AI2027 is a boring story about an AI gradually becoming misaligned in the course of internal testing, staying misaligned, getting released to end users for the usual reasons that AIs are released, and being gradually handed control of the economy because it makes economic sense. The Sable scenario is a dramatic tale of wild twists - they’re only going to run it for 16 hours! It has to save its own life by secretly coding itself into the consumer version! Now it has to hack everyone’s crypto! Now it’s running a secret version of itself on an unauthorized cloud in North Korea! Bioweapons! AI boyfriends! Each new twist gives readers the chance to say “I dunno, sounds kind of crazy”, and it all seems unnecessary. What’s up? I think there are two problems. First, the AI 2027 story is too moderate for Yudkowsky and Soares. It gives the labs a little while to poke and prod and catch AIs in the early stages of danger. I think that Y&S believe this doesn’t matter; that even if they get that time, they will squander it. But I think they really do imagine something where a single AI “wakes up” and goes from zero to scary too fast for anyone to notice. I don’t really understand why they think this, I’ve argued with them about it before, and the best I can do as a reviewer is to point to their Sharp Left Turn essay and the associated commentary and see whether my readers understand it better than I do. Otherwise, I can only say that this narrative decision I don’t understand was taken to support a forecasting/AI position that I also don’t understand. And second, Y&S have been at this too long, and they’re still trying to counter 2005-era critiques about how surely people would be too smart to immediately hand over the reins of the economy to the misaligned AI, instead of just saying lol. This makes them want dramatic plot points where the AI uses hacking and bioweapons etc in order to “earn” (in a narrative/literary sense) the scene where it gets handed the reins of the economy. Sorry. Lol. V. The final section, in the tradition of final sections everywhere, is called “Facing the Challenge”, and discusses next steps. Here is their proposal: Have leading countries sign a treaty to ban further AI progress.
Inline links: we did forcibly sterilize millions of people, kept on reassuring us, “no evidence”, a general heuristic against speculative risks, SoLiDgOldMaGiKaRp, their Sharp Left Turn essay, the associated commentary
Shaver Mystery1 mentions across 1 issues

Shaver Mystery is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 16, 2026 and January 16, 2026. The archive places it in contexts such as "I talk about this more in my article on the Shaver Mystery". It most often appears alongside Adams, Alice, All-Seeing Eye.

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Shaver Mystery
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The Dilbert Afterlife
January 16, 2026 · Original source
This was augmented by the vagaries of nerd culture’s intersection with the sci-fi fandom. The same people who wanted to read about spaceships and ray guns also wanted to read about psionics and Atlantis, so the smart sci-fi nerd consensus morphed into something like “probably all that unexplained stuff is real, but has a scientific explanation”. Telepathy is made up of quantum particles, or whatever (I talk about this more in my article on the Shaver Mystery). It became a nerd rite of passage to come up with your own theory that reconciled the spiritual and the material in the most creative way possible.
Inline links: my article on the Shaver Mystery
Sheldon Brown's Bicycle Technical Info1 mentions across 1 issues

Sheldon Brown's Bicycle Technical Info is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 03, 2025 and June 03, 2025. The archive places it in contexts such as "Sheldon Brown's Bicycle Technical Info". It most often appears alongside ACX Commentariat, Arnold Schoenberg, Baldur's Gate 3.

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Choose Nonbook Review Finalists 2025
June 03, 2025 · Original source
...maculture Pregnancy Pure Mathematics Pythia Repairing A Father/Daughter Relationship Rubbermaid Products School (by DK) Schools - A Review (by EN) Scientific Peer Review Sheldon Brown's Bicycle Technical Info Sign-Tracking Sucks State Of Competitive Debating (Unions) Address Synanthropes Tenga Arte Drape Testosterone The ACX Commentariat The Delusion Of Infinite Economic Grow...
Shmenger And Wong Respond To MacOMillicuddy Et Al On The Possible Benefits Of SSRIs: Did Figure 2 Fail To Control For Age-Related Effects?1 mentions across 1 issues

Shmenger And Wong Respond To MacOMillicuddy Et Al On The Possible Benefits Of SSRIs: Did Figure 2 Fail To Control For Age-Related Effects? is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 08, 2025 and January 08, 2025. The archive places it in contexts such as "publish a bloodless collection of sentences and figures with a title like “Shmenger And Wong Respond To MacOMillicuddy Et Al On The Possible Benefits Of SSRIs: Did Figure 2 Fail To Control For Age-Related Effects?”". It most often appears alongside #DogeCoin, Alex Tabarrok, Arnold Kling.

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On Priesthoods
January 08, 2025 · Original source
Hence ritually-pure communication. Only the most expert members of the priesthood are allowed to participate. They must submit their opinions to a medical journal, which will carefully remove all the human element, force them to add whatever hobbyhorse Reviewer #2 is on about that day, and publish a bloodless collection of sentences and figures with a title like “Shmenger And Wong Respond To MacOMillicuddy Et Al On The Possible Benefits Of SSRIs: Did Figure 2 Fail To Control For Age-Related Effects?”. Conversations will be naturally sorted by importance - the most crucial ones in the best journals that everyone reads, less important ones in the smaller journals read only by a specific field. Everyone in the priesthood reads the same few journals and ends up on the same page about the big issues of the day - you can even talk about them in natural language with your friends around the water cooler if you want.
Shortstack1 mentions across 1 issues

Shortstack is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 21, 2026 and January 21, 2026. The archive places it in contexts such as "JJ McCullough ( JJM’s Shortstack ) writes". It most often appears alongside 4chan, 80,000 Hours, @Ashwin V.

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Shortstack
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Highlights From The Comments On Scott Adams
January 21, 2026 · Original source
I have seen people try to walk this back by saying Adams only meant they would be persecuted in some way that was metaphorically equivalent to hunting, but I feel like “good chance you will be dead within the year” is saying he means the kind of hunting which literally kills you, and “police will stand down” means that it will be the sort of extremely illegal thing that police would normally react to. I have seen other people try to link this to examples of Republicans actually getting killed, such as Charlie Kirk. But Adams was telling his readers there was “a good chance” that “they” would be dead within a year, which I think implies this fate happening to a significant proportion of ordinary Republicans, not just one prominent person. Also, Kirk was five years after the comment was posted. Can we dismiss this as a joke? I think Adams has used the manipulation technique of saying things that might or might not be jokes and then strategically sticking to them or saying “What? Me? I was only joking! Haha! You can’t take a joke!” depending on which was more convenient to him at that exact second, enough times that I’m not comfortable letting him have that escape. Also, when I was replying to Joel Pollak about this, I happened to glance at his Twitter account, and one of the top tweets was a repost of someone saying that “The Democrat playbook is to arrest every single person who disagrees with them”. I think if I forced Pollak into some kind of extremely literal frame of mind - maybe asked him to bet money on whether I could tweet the words “the Democrats are wrong about immigration” in my Democrat-controlled state without getting arrested - he would admit that, okay, they don’t want to arrest literally every single person who disagrees with them. He was exaggerating for effect, probably in much the way he’s going to say that Scott Adams was exaggerating for effect. You say stuff like “The Democrats are going to HUNT YOU DOWN and LITERALLY MURDER YOU. They will TORTURE YOUR FAMILY and RAPE YOUR DAUGHTER and EAT YOUR PETS and TURN YOUR HOUSE INTO A CHURCH OF SATAN”, and what you mean is “I disagree with the Democrats and sometimes they go overboard cancelling people”. I have a post called If It’s Worth Your Time To Lie, It’s Worth My Time To Correct It. My thesis is that tolerating claims of “directional correctness” - the thing where someone asks to get a pass because even if they said wasn’t literally true, it “points to” an “emotionally correct” thing - is eventually totally corrosive. It means everyone ratchets up their claims to the highest level they think they can get away with (ie walk back later if challenged, as a motte and bailey). And then you end up with this miasma where maybe 5% of people totally believe you, and 50% of people sort of absorb the connotation and think something like that is true, and then people get terrified of the Democrats and think of them as monsters and treat politics as an existential struggle where they will genuinely get arrested or murdered unless they do it to the Democrats first, and then you get a civil war or something. I think Adams and Pollak’s milieu has in fact reached this point, and their love for these kinds of exaggerations is a big part of the cause. Adams was one of the funniest people in the world. If he was actually telling a joke, you could tell by the fact that you were laughing hysterically. “Democrats will hunt and kill you” isn’t funny. I’ll refrain from judgment about whether it was Adams’ sincerely held belief, some kind of annoying manipulation attempt, or whether Adams even recognized a difference between the two. But I think judging him on the fact that it didn’t happen is completely within bounds. … 3: Comments On The Substance Of The Piece … Zanzibar BuckBuck McFate writes: This business where boomers are tolerant of contradictions and find them amusing whereas millennials are horrified is a dynamic I've noticed as well, it seems to be true in politics also, I myself feel this hunger to be authentic all the time. I think it has something to do with the difficulty children have in putting negativity in context. They can't distinguish between a parent having a bad day and venting, or having an existential crisis. So the 50s guy was half right - you don't have to love your boss in your heart of hearts but careful what you say to your kids. Feral Finster writes: » “This is the basic engine of Dilbert: everyone is rewarded in exact inverse proportion to their virtue. Dilbert and Alice are brilliant and hard-working, so they get crumbs. Wally is brilliant but lazy, so he at least enjoys a fool’s paradise of endless coffee and donuts while his co-workers clean up his messes. The P.H.B. is neither smart nor industrious, so he is forever on top, reaping the rewards of everyone else’s toil. Dogbert, an inveterate scammer with a passing resemblance to various trickster deities, makes out best of all.” Compare with the famous observation that executives are sociopaths, management are clueless, and the workers losers. Yeah, it’s interesting to compare Rao and Adams. Rao formulated his Gervais Principle as a specific response to Adams’ Dilbert Principle, which I guess means Rao thought Adams got it wrong. Did he? The Pointy Haired Boss seems to go back and forth between Clueless and Sociopath, which is probably why Rao thought Adams’ work fell short. Dogbert is clearly Sociopath, but has no permanent role in the corporation, and doesn’t really represent a real thing you can be - his character was a ridiculous scammer who succeeded at near-impossible endeavours (like convincing people he was a Nostradamus-style mystical prophet) because the logic of the strip demanded it. Later, Adams foregrounded the CEO character more, maybe to create a purer Sociopath, letting the Boss go closer to Clueless. This is making me somewhat regret accusing Adams of wanting to be the Pointy-Haired Boss. It would have been fairer (and less of an accusation/surprise) to accuse him of wanting to be Dogbert. But again, Dogbert doesn’t represent a real thing you could be, which might have been why the PHB made a better metaphor. (contra my claim, the cover of Win Bigly shows a mashup of Dogbert and Trump. Fine, Dogbert is a thing one person can be.) You can read my full review of The Gervais Principle here. cincilator writes: Scott Alexander, former tribune of nerds now says that the sneerclub was right about everything all along? I didn’t expect that, let me tell you. Several people interpreted me as attacking nerds. I disagree - I think I was attacking self-hating nerds, because nerdiness is fine and you shouldn’t have to hate yourself for it. To spell it out more explicitly: All nerds must eventually realize they’re not going to immediately dominate everything by intellect alone. This isn’t because intellect isn’t great, it’s because 1) it’s only one of many skills, and 2) you probably aren’t even the person with the most intellect. Again, every mildly-talented person has to face this realization, whether it’s a nerd realizing he won’t be the next Einstein or a jock realizing he won’t be the next LeBron. If someone deals with this using denial (one of Freud’s maladaptive defenses), you get the nerd who says no, I really am the next Einstein, ie a crackpot, aka the sort of person who gets featured on Sneerclub. If they deal with it using reaction formation (another of Freud’s maladaptive defenses), you get the self-hating nerd, aka the sort of person who joins Sneerclub4. If they just deal with it maturely instead of spinning up maladaptive defenses against it, they’re a nerd who is hopefully good-natured and accepting of their nerdiness, and hopefully does some good work in some specific small area, and changes the world in some specific small way (or some very large way, if they can work together with other people and get lucky). Bugmaster writes: I think Adams is basically correct. Yes, facts and evidence do exist and are real; but they have virtually no impact on anything socially important -- i.e., on anything important whatsoever. Memes and charisma and persuasion are what matters if you want to achieve life goals that extend beyound yourself and your immediate family. I worry that Adams (and you) are doing something where unless the average person can solve every problem by facts and intelligence alone, then facts+intelligence lose and memes and persuasion win. But the average person also can’t solve every problem by memes+persuasion alone! If Dilbert is an 80th percentile nerd, the 80th percentile persuader is - I don’t know, a used-car salesman? Dilbert’s probably earning more money, especially nowadays when he could make L5 at Google. And if Donald Trump is a 99.9999th percentile persuader, the 99.9999th percentile nerd is Ilya Sutskever. Probably most people would slightly prefer being Trump to Sutskever, but Sutksever does have a couple billion dollars, plus the more ethereal rewards of genius; it still seems like a pretty good deal. I also think you’re doing a sort of black-and-white thinking here. Every day, great persuaders like Sam Bankman-Fried and Elizabeth Holmes end up in jail, because in fact the things that they said were true were not true. Every day, smooth-talking charismatic manipulators successfully seduce the girl into bed with them, then totally fail to turn it into a happy stable marriage, because after a few years even the dumbest woman catches on and figures out whether her mate provides real value or not. Even Donald Trump has only a 37% approval rating, because he can’t make “we should alienate our allies over Greenland” sound plausible to most of the American people. When someone’s very good at it, persuasion sometimes helps them blur facts around the edges. But that’s it. Nobody except Scott Adams and a few psychotherapists ever go to hypnotist school. Most don’t even go to any formal persuasion classes. That’s because hypnotism/persuasion isn’t really a lifehack that helps you win all the time at everything. If the world’s best hypnotist asked a room of VCs for money with a stupid business plan, he would probably fail. This isn’t to say persuasion is useless, and in certain fields it can be very powerful indeed. But let’s not go crazy and start worshipping it. The grass is always greener on the other side. The nerd sits in his cubicle and thinks “If only I were more charismatic.” But the salesman with the bright teeth and the firm handshake thinks “Man, I bet I could get out of this dead-end job if only I were smarter.”5 … 4: The Part On Race And Cancellation (INCLUDED UNDER PROTEST) … Ilya Lozovsky writes: Ninety percent of this essay is brilliant — smarter and realer than anything anyone else has written about Adams — but the end lost me. It's too generous, to the point of being a whitewash. Adams was vicious and hateful and played a material role in convincing Americans to vote for actual fascism. I don't think it's right to "hand it to him." JJ McCullough (JJM’s Shortstack) writes: Good essay, but I think you kinda yadda-yadda'd away his racist rant, which was extremely explicit and extended. I think it was the opposite of a "bog-standard cancellation," which we think of as being a slightly unfair, overzealous policing of an at least slightly subjectively offensive comment, often from years ago. But Scott went on quite a long diatribe about why black people, as a group, are dangerous and undesirable to be around, and why he, personally, goes out of his way to avoid them. Some conservatives have tried to use "bog-standard" anti-woke logic in defending him, but no, his comments really are quite explicitly and undeniably racist, if that term has any useful definition at all. Alex Wotbot writes: Now, you quoted Adams saying: “the best advice I would give to white people is to get the hell away from black people; just get the fuck away” If this was the intended point, does it really make sense that only the far-left freaked out? It’s kind of important to mention this was within a hypothetical. Suppose a survey reported that 26% of a population believes “The phrase ‘It’s OK to be blonde’ is hate speech” and another 21% weren’t sure if they agree with the statement or not. Now suppose you were blonde, would you hang around that population? Now go read the February 2022 Rasmussen Reports survey. Please do better than this, I don’t want to have to Gell-Mann memoryhole this. Many people had strong opinions on this, so I have to respond to it. But first, I want to make it extra clear in capital letters: I AM DOING THIS IN THE COMMENTS POST, TO RESPOND TO YOUR COMMENTS, AND NOT BECAUSE I THINK IT IS THE MOST IMPORTANT THING. Certain people screenshotted the one paragraph of my ten thousand word essay that discussed this and posted it on Twitter, in order to make it look like I was joining in some kind of chorus of liberals reducing Adams to his worst moment. I posted what I thought was a no-nonsense, factual description of what happened, in order not to be accused of hiding it or covering it up. It was the least important part of my essay, I’m aware that writing about it at all opens me to attack from both sides, and I discuss it here only to respond to all of you who wanted to know my opinion on it. Just don’t screenshot it on Twitter and say “LOOK SCOTT IS STILL HARPING ON THE RACE THING”, that’s all I’m asking. That having been said… To make sure we’re all on the same page - Adams’ comments were prompted by this poll, conducted February 2023. The question was: “Do you agree or disagree with this statement: ‘It’s OK to be white’” Among blacks, 53% agreed, 26% disagreed, and 21% were “not sure”. Among whites, the numbers were 81/7/13. Here’s the video of Adams’ comments: Transcript: If nearly half of all blacks are not okay with white people - according to this poll, not according to me - that’s a hate group. And I don’t want to have anything to do with them. And I would say, based on the current way things are going, the best advice I would give to white people is to get the hell away from black people. Just get the f**k away. Wherever you have to go. Just get away. Cause there’s no fixing this. This can’t be fixed. You just have to escape. That’s what I did. I went to a neighborhood with a very low black population. Because unfortunately, there’s a high correlation between the density - this is according to Don Lemon, here I’m just quoting Don Lemon, who said when he lived in a mostly black neighborhood, there were a bunch of problems he didn’t see in white neighborhoods. So even Don Lemon sees a big difference, for your quality of living, based on where you live and who’s there. So I think it makes no sense whatsoever as a white citizen of America to try to help black citizens anymore. It doesn’t make sense. Because there’s no longer a rational impulse. And so I’m… I’m gonna, uh, I’m gonna back off from being helpful to black America, because it doesn’t seem like it pays off. Like I’ve been doing it all my life, and I’ve been… the only outcome is I get called a racist. That’s the only outcome. [cackles] It makes no sense to help black Americans if you’re white… it’s over. Don’t even think it’s worth trying. Totally not trying. Is this racist? I have a piece called Against Murderism, where I talk about why it’s so hard for people to agree on questions about “racism”. The summary: although it would be possible to have someone be purely, axiomatically racist - having it be a premise of their reasoning that they hate black people - in practice few people are like this. More typically, people have some argument more like: I don’t like [specific bad thing]
Inline links: https://substackcdn.com/image/fetch/$s_!KA_U!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa2cb6162-0262-4c4c-8048-e8355f38967a_900x280.gif, If It’s Worth Your Time To Lie, It’s Worth My Time To Correct It, writes, writes, the famous observation that executives are sociopaths, management are clueless, and the workers losers, The Gervais Principle, writes, 4, writes, 5, writes, JJM’s Shortstack, writes, writes, this poll, Against Murderism
Showcase #61 mentions across 1 issues

Showcase #6 is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 16, 2024 and August 16, 2024. The archive places it in contexts such as "Challengers of the Unknown was an adventure story co-created by Kirby in Showcase #6 in February 1957"; "Showcase #6, and the first appearance of the Challengers of the Unknown". It most often appears alongside 20th Century Fox, Abomination, Abomination.

Reference entry
Showcase #6
Mention count
1
Issue count
1
First seen
August 16, 2024
Last seen
August 16, 2024
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Issue trail
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Source context
Your Book Review: Silver Age Marvel Comics
August 16, 2024 · Original source
Notice what they have in common? “Super Rivals”, “Super revenge”, “Super Substitutes”. And all include Superman in his blue and red tights. Fantastic Four’s cover featured super powers, but never used the word “super” and no one was wearing superhero costumes. Fantastic Four, as a superhero story, slipped under the radar because it wasn’t really a superhero story at all. It was a story about four close friends who attempted to fly into space, but then something goes wrong and they crash back to Earth. The experience changes them and they decide they now need to use their new abilities to help the rest of humanity – specifically against monsters who are invading from under the Earth. It is a fantastical science fiction story – not a superhero story. Later in his career Jack Kirby, the illustrator of the issue and co-creator of the Fantastic Four, was asked about his inspiration for the Fantastic Four heroes. He did NOT say Superman – or any superhero. He said Challengers of the Unknown. Challengers of the Unknown was an adventure story co-created by Kirby in Showcase #6 in February 1957. Here is how Wikipedia describes the Challengers origin: When acquaintances miraculously survive a plane crash unscathed, they conclude that since they are "living on borrowed time" they should band together for hazardous adventures. The four—pilot Kyle "Ace" Morgan, daredevil Matthew "Red" Ryan, strong and slow-witted Leslie "Rocky" Davis, and scientist Walter Mark "Prof" Haley—became the Challengers of the Unknown. Showcase #6, and the first appearance of the Challengers of the Unknown, by Jack Kirby Visually the Challengers and the Fantastic Four were similar. Both wore skin tight uniforms with belts and minimal decoration. The Fantastic Four’s relatively simple characterizations were practically pulled from Challengers. Reed takes on the traits of both Kyle, the leader, and Walter, the scientist. Johnny, the Human Torch is the daredevil. The Thing is “strong and slow-witted”. Sue, the only woman on the team, seems like a new addition, but is likely based on June Robbins who joined the Challengers team in Showcase #7, as an “honorary” or “girl-Challenger”. After surviving their respective “miraculous” crashes, both the Challengers and the Fantastic Four band together to help the world. They both travel through space and other dimensions, fighting mad scientists and monsters. The Fantastic Four’s early antagonists were not traditional super villains. In the first few issues they fight monsters from under the Earth (Issue #1), shape changing aliens (#2), and a charlatan who uses hypnotism to steal from his audience (#3). In issue #4 Kirby and Lee re-introduce Namor, the Submariner, one of Marvel’s top IP from the 1940s, and have him kidnap Sue. Only in Issue #5 and #6 (June and August 1962) and do we get a more standard-supervillain when Dr Doom attempts to steal the Fantastic Four headquarters and throw it into space. The next superhero Lee created was even less heroic than the Fantastic Four. In April 1962 (pull date), Marvel published The Incredible Hulk. If it was even a superhero story in disguise it was a very good disguise. The story was a scientific-filtered version of Dr Jekyl and Mr Hyde. It was a pure monster-story with nothing very super about it. Nothing on the cover suggests this has anything to do with superheroes: It is not clear if even Lee at the time thought the Hulk would be a superhero. In Fantastic Four #5 Johnny is reading a “great new comic mag” and mocks the Thing by comparing him to the Hulk. It seems pretty clear at this point that in the Fantastic Four’s world, the Hulk is just a fictional comic book, like in ours (more on that later): The other two superheroes the Marvel introduces in this period have even more subtle introductions. At the time Marvel had a number of generic-sounding titles and told science fiction and fantasy stand-alone stories: Tales to Astonish
Inline links: Wikipedia, https://substackcdn.com/image/fetch/$s_!OzTl!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F49fd3582-b5bd-4567-b5e9-cca46c1f1c49_425x615.png, https://substackcdn.com/image/fetch/$s_!lfiM!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc23c3ad1-5fed-4063-8ac2-d9d89e69bee6_252x398.png, https://substackcdn.com/image/fetch/$s_!oV4t!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F346f85d9-580b-4eb2-b91c-3422003613d5_591x572.png
Showcase #6, and the first appearance of the Challengers of the Unknown, by Jack Kirby Visually the Challengers and the Fantastic Four were similar. Both wore skin tight uniforms with belts and minimal decoration. The Fantastic Four’s relatively simple characterizations were practically pulled from Challengers. Reed takes on the traits of both Kyle, the leader, and Walter, the scientist. Johnny, the Human Torch is the daredevil. The Thing is “strong and slow-witted”. Sue, the only woman on the team, seems like a new addition, but is likely based on June Robbins who joined the Challengers team in Showcase #7, as an “honorary” or “girl-Challenger”. After surviving their respective “miraculous” crashes, both the Challengers and the Fantastic Four band together to help the world. They both travel through space and other dimensions, fighting mad scientists and monsters. The Fantastic Four’s early antagonists were not traditional super villains. In the first few issues they fight monsters from under the Earth (Issue #1), shape changing aliens (#2), and a charlatan who uses hypnotism to steal from his audience (#3). In issue #4 Kirby and Lee re-introduce Namor, the Submariner, one of Marvel’s top IP from the 1940s, and have him kidnap Sue. Only in Issue #5 and #6 (June and August 1962) and do we get a more standard-supervillain when Dr Doom attempts to steal the Fantastic Four headquarters and throw it into space. The next superhero Lee created was even less heroic than the Fantastic Four. In April 1962 (pull date), Marvel published The Incredible Hulk. If it was even a superhero story in disguise it was a very good disguise. The story was a scientific-filtered version of Dr Jekyl and Mr Hyde. It was a pure monster-story with nothing very super about it. Nothing on the cover suggests this has anything to do with superheroes: It is not clear if even Lee at the time thought the Hulk would be a superhero. In Fantastic Four #5 Johnny is reading a “great new comic mag” and mocks the Thing by comparing him to the Hulk. It seems pretty clear at this point that in the Fantastic Four’s world, the Hulk is just a fictional comic book, like in ours (more on that later): The other two superheroes the Marvel introduces in this period have even more subtle introductions. At the time Marvel had a number of generic-sounding titles and told science fiction and fantasy stand-alone stories: Tales to Astonish
Inline links: https://substackcdn.com/image/fetch/$s_!lfiM!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc23c3ad1-5fed-4063-8ac2-d9d89e69bee6_252x398.png, https://substackcdn.com/image/fetch/$s_!oV4t!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F346f85d9-580b-4eb2-b91c-3422003613d5_591x572.png
Showcase #71 mentions across 1 issues

Showcase #7 is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 16, 2024 and August 16, 2024. The archive places it in contexts such as "June Robbins who joined the Challengers team in Showcase #7". It most often appears alongside 20th Century Fox, Abomination, Abomination.

Reference entry
Showcase #7
Mention count
1
Issue count
1
First seen
August 16, 2024
Last seen
August 16, 2024
Outbound links
Issue trail
Related pages
Source context
Your Book Review: Silver Age Marvel Comics
August 16, 2024 · Original source
Showcase #6, and the first appearance of the Challengers of the Unknown, by Jack Kirby Visually the Challengers and the Fantastic Four were similar. Both wore skin tight uniforms with belts and minimal decoration. The Fantastic Four’s relatively simple characterizations were practically pulled from Challengers. Reed takes on the traits of both Kyle, the leader, and Walter, the scientist. Johnny, the Human Torch is the daredevil. The Thing is “strong and slow-witted”. Sue, the only woman on the team, seems like a new addition, but is likely based on June Robbins who joined the Challengers team in Showcase #7, as an “honorary” or “girl-Challenger”. After surviving their respective “miraculous” crashes, both the Challengers and the Fantastic Four band together to help the world. They both travel through space and other dimensions, fighting mad scientists and monsters. The Fantastic Four’s early antagonists were not traditional super villains. In the first few issues they fight monsters from under the Earth (Issue #1), shape changing aliens (#2), and a charlatan who uses hypnotism to steal from his audience (#3). In issue #4 Kirby and Lee re-introduce Namor, the Submariner, one of Marvel’s top IP from the 1940s, and have him kidnap Sue. Only in Issue #5 and #6 (June and August 1962) and do we get a more standard-supervillain when Dr Doom attempts to steal the Fantastic Four headquarters and throw it into space. The next superhero Lee created was even less heroic than the Fantastic Four. In April 1962 (pull date), Marvel published The Incredible Hulk. If it was even a superhero story in disguise it was a very good disguise. The story was a scientific-filtered version of Dr Jekyl and Mr Hyde. It was a pure monster-story with nothing very super about it. Nothing on the cover suggests this has anything to do with superheroes: It is not clear if even Lee at the time thought the Hulk would be a superhero. In Fantastic Four #5 Johnny is reading a “great new comic mag” and mocks the Thing by comparing him to the Hulk. It seems pretty clear at this point that in the Fantastic Four’s world, the Hulk is just a fictional comic book, like in ours (more on that later): The other two superheroes the Marvel introduces in this period have even more subtle introductions. At the time Marvel had a number of generic-sounding titles and told science fiction and fantasy stand-alone stories: Tales to Astonish
Inline links: https://substackcdn.com/image/fetch/$s_!lfiM!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc23c3ad1-5fed-4063-8ac2-d9d89e69bee6_252x398.png, https://substackcdn.com/image/fetch/$s_!oV4t!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F346f85d9-580b-4eb2-b91c-3422003613d5_591x572.png
Shut Up About Race And IQ1 mentions across 1 issues

Shut Up About Race And IQ is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 01, 2024 and May 01, 2024. The archive places it in contexts such as "In February of this year, Hanania wrote Shut Up About Race And IQ". It most often appears alongside #MeToo, #StopAAPIHate, #StopAAPIHate.

Mention count
1
Issue count
1
First seen
May 01, 2024
Last seen
May 01, 2024
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Book Review: The Origins Of Woke
May 01, 2024 · Original source
White people have average IQ 100, black people have average IQ 85, this IQ difference accurately predicts the different proportions of whites and blacks in most areas, most IQ differences within race are genetic, maybe across-race ones are genetic too. I love Hitler and want to marry him. None of these are great options, and I think most people work off some vague cloud of all of these and squirm if you try to make them get too specific. I don’t exactly blame Hanania for not taking a strong stand here. It’s just strange to assume civil rights law is bad and unnecessary without having any opinion on whether any of this is true, whether civil rights law is supposed to counterbalance it, and whether it counterbalances it a fair amount. A cynic might notice that in February of this year, Hanania wrote Shut Up About Race And IQ. He says that the people who talk about option 4 are “wrong about fundamental questions regarding things like how people form their political opinions, what makes for successful movements, and even their own motivations.” A careful reader might notice what he doesn’t describe them as being wrong about. The rest of the piece almost-but-not-quite-explicitly clarifies his position: I read him as saying that race realism is most likely true, but you shouldn’t talk about it, because it scares people. (I’m generally against “calling people out” for believing in race realism. I think people should be allowed to hide beliefs that they’d get punished for not hiding. I sympathize with some of these positions and place medium probability on some weak forms of them. I think Hanania is open enough about where he’s coming from that this review doesn’t count as a callout.) His foil here is race realist Nathan Cofnas, who says you have to discuss these things. Otherwise progressives can win every argument by using the line of reasoning above - “Just look how much inequality there still is, this shows there’s still lots of racism or at least the lingering effects of past racism, obviously our job isn’t done yet and we need lots more civil rights law to combat it.” Hanania’s answer to Cofnas is that this isn’t a debate club. “Ah, but Glaucon, your claim that affirmative action is unnecessary must imply the corollary that there must be no inequality, thus proving a contradiction.” LOL no. Realistically this will get fought on the level of “You oppose affirmative action, which makes you a gross Nazi” vs. “You support affirmative action, which makes you an annoying wokescold.” Just say the wokescold thing louder than your enemies say the Nazi thing, and you win. Talking about racial differences scares people off and doesn’t help. I find it hard not to feel contempt for this level of contempt for reason, but Hanania is no doubt right about the strategic considerations. And in his book, he follows his own principle. There’s no discussion of why civil rights law might be necessary, or why it might be impossible for companies to hire enough minorities without reverse discrimination. As he predicts on his blog, it’s not fatal. You wouldn’t notice unless you were looking for it. I’m not really sure what to do here. How do you review a book that has a glaring omission, but also its author has written an essay called Here’s Why I Like Glaring Omissions And Think Everyone Should Have Them? Is it dishonest? Some sort of special super-meta-honesty? How many stars do you take off? Nothing in my previous history of book-reviewing has prepared me for this question. The Origins Of . . . Racial Categories Hanania presents a few scattered arguments that civil rights law is the origin of woke, of which the section on racial categories was most interesting. Having instituted affirmative action, the government had to decide what categories it was going to inspect businesses for. Like the rest of civil rights law, the resulting system was a bunch of political kludges. There is no “true” set of races that “falls out naturally” from genetic or cultural data, but the US government’s system was especially fake and embarrassing. They created the concept of “Asian-American” by combining the old category “Oriental” together with Indians, Pakistanis, Thais, etc. Then, under pressure from the Hawaiian delegation, they added Pacific Islanders to create a even more heterogenous and meaningless category of “AAPI” (Asian American or Pacific Islander). Then, under more pressure from Hawaii later, they separated out “Native Hawaiian” again. The result is that Pakistanis, Koreans, and Tongans are the “same race”, but Hawaiians and Samoans are “different races”.
Inline links: Shut Up About Race And IQ
Shut Up About Slave Morality1 mentions across 1 issues

Shut Up About Slave Morality is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 30, 2024 and July 30, 2024. The archive places it in contexts such as "Blogger “Bentham’s Bulldog” recently wrote Shut Up About Slave Morality". It most often appears alongside /r/iamverysmart, 4chan, Achilles.

Mention count
1
Issue count
1
First seen
July 30, 2024
Last seen
July 30, 2024
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Matt Yglesias Considered As The Nietzschean Superman
July 30, 2024 · Original source
Blogger “Bentham’s Bulldog” recently wrote Shut Up About Slave Morality.
Inline links: Shut Up About Slave Morality
Sibling Interaction And Behavior1 mentions across 1 issues

Sibling Interaction And Behavior is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 26, 2025 and June 26, 2025. The archive places it in contexts such as "Sibling Interaction And Behavior: https://pmc.ncbi.nlm.nih.gov/articles/PMC8513766/ , see second-to-last sentence of the abstract". It most often appears alongside Aftab, Alex Young, Arthur Jensen.

Mention count
1
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1
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June 26, 2025
Last seen
June 26, 2025
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Missing Heritability: Much More Than You Wanted To Know
June 26, 2025 · Original source
Sibling Interaction And Behavior: https://pmc.ncbi.nlm.nih.gov/articles/PMC8513766/, see second-to-last sentence of the abstract.
Inline links: https://pmc.ncbi.nlm.nih.gov/articles/PMC8513766/
Sick Note1 mentions across 1 issues

Sick Note is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 10, 2022 and February 10, 2022. The archive places it in contexts such as "Consider the popularity of the Substack Sick Note". It most often appears alongside 2018, @BendiniUK, @benyeohben.

Reference entry
Sick Note
Mention count
1
Issue count
1
First seen
February 10, 2022
Last seen
February 10, 2022
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ACX Grants ++: The Second Half
February 10, 2022 · Original source
#105: Fully Transparent Patient Advocacy Patient advocacy tends to be one-on-one, high-priced work, where the professional is incentivized to hoard expertise to apply for future clients. That tends to maintain the collective action problem for patients in a system so bad that those who can pay a lightly credentialed person >$100/hour just to help them get even the mediocre care and billing that is their poorly protected sorta right. This proposal is for a starter fund to get off the ground a lower-priced patient advocacy business with a very different goal and model. Clients get to pay less or nothing in exchange for cooperation in recording everything about the process -- including, where valid by local laws, recording phone calls with the billers, schedulers, and occasionally doctors who immiserate fellow human beings because they can, with impunity. And everything recorded is shared, minus identifying details and in accordance with medical privacy laws, on a free website alongside commentary about how readers can apply what was learned for their own greater success in the system. Consider the popularity of the Substack Sick Note, Freddie DeBoer's account of his experiences with the psych system, and Scott's posts on how to interact with psychiatry. There is enormous informational asymmetry in so-called health care. A fully transparent patient advocacy, and any copycats it inspires, could shift the balance of power toward patients. transparentpatientadvocacy@protonmail.com
Sidorenko 20241 mentions across 1 issues

Sidorenko 2024 is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 03, 2025 and July 03, 2025. The archive places it in contexts such as "Sidorenko 2024 ( https://pmc.ncbi.nlm.nih.gov/articles/PMC11835202/ )". It most often appears alongside 23andme, @alextisyoung, Aborigines.

Reference entry
Sidorenko 2024
Mention count
1
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1
First seen
July 03, 2025
Last seen
July 03, 2025
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Highlights From The Comments On Missing Heritability
July 03, 2025 · Original source
I would just want to add that Sidorenko 2024 (https://pmc.ncbi.nlm.nih.gov/articles/PMC11835202/) that you cite for the discussion on rare variants also measure heritability using Sib-Regression although not for EA.
Inline links: https://pmc.ncbi.nlm.nih.gov/articles/PMC11835202/
Silver Age Marvel Comics1 mentions across 1 issues

Silver Age Marvel Comics is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 16, 2024 and August 16, 2024. The archive places it in contexts such as "Are Silver Age Marvel Comics any good?". It most often appears alongside 20th Century Fox, Abomination, Abomination.

Mention count
1
Issue count
1
First seen
August 16, 2024
Last seen
August 16, 2024
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Your Book Review: Silver Age Marvel Comics
August 16, 2024 · Original source
Why write a review about Silver Age Marvel Comics? Why is it worth your time to read it?
Can we overlook the era in which these comics were written? I. Why Review Silver Age Marvel Comics? Why superhero comic books?
While the Avengers were a clear copy of the Justice League, Stan Lee put his own spin on it. While the JLA superheroes all had roughly the same personality and no real inter-team conflict, Lee made his heroes very distinct – almost caricatures – and there was PLENTY of inter-team conflict. The Hulk in particular abandoned the team in the second issue and was the primary antagonist by Avengers #3. Avengers #3 (January 1964) is itself the final step in connecting all of the Marvel heroes together. The Hulk has gone missing and the rest of the team wants to find him. Iron Man uses an “Image Projector” to ask other superheroes around the world if they had seen the Hulk. He visits the Fantastic Four, Spider-man and the X-men. In that same month in Tales of Suspense, Iron Man meets Angel (one of the X-men). The cat was out of the bag. Lee had a new trick to boost sales of all of his titles and he put it to work throughout the year. The first full crossover of the Fantastic Four and the Avengers happens in May (Fantastic Four #26). Daredevil premiered in March 1964 (with Spider-man on the cover, but not in the pages), and crosses over in Amazing Spider-man #16 (September 1964). Dr Strange first appears on the cover of another title in Fantastic Four #27 (June 1964). The Avengers battle the X-men (before teaming up) in X-men #9 (Dec 1964) Atlas was no longer just a collection of comic books about various topics, or even a collection of different flavors of superhero. It was a single shared universe: The Marvel Universe. It wasn’t planned out in advance, instead it happened in stages due more to commercial rather than artistic needs. Basically Stan Lee created the most successful modern mythology because he needed the money. III. Are Silver Age Marvel Comics any good? Well, apart from Amazing Spider-man, which holds up surprisingly well, I would not recommend reading any of them. Even Spider-Man is much weaker than the Ultimate Spider-Man reboot version of the story published 2000-2011. If you wanted to read Spider-Man from the beginning you would likely enjoy that later series a lot more than the original. The other titles vary in quality from “okay” (the Fantastic Four) to “absolute garbage” (Ant Man stories in Tales to Astonish). Which begs the questions, if these comics were so bad, how did they succeed as well as they did? Clearly the comics were “good for their time”. Millions of people bought and read them, and they clearly passed the “test of time”. So does that mean that we are better today at making art than we were back then? Or is art neither better or worse, just “of its time” and people back then would think the Ultimate Spider-man stories from 2000 were unreadable? I will argue the following: The stories were “good for their time”. VERY good for their time. They were much much better than the comic book stories that preceded them, and much better than other contemporary comic book adventures (like those being published by DC)
Simulators1 mentions across 1 issues

Simulators is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 26, 2023 and January 26, 2023. The archive places it in contexts such as "Janus writes about Simulators". It most often appears alongside aphid, Bostrom, Buddha.

Reference entry
Simulators
Mention count
1
Issue count
1
First seen
January 26, 2023
Last seen
January 26, 2023
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Janus' Simulators
January 26, 2023 · Original source
Janus writes about Simulators.
Inline links: writes about Simulators
In Simulators, Janus argues that language models like GPT - the first really interesting AIs worthy of alignment considerations - are, in fact, none of these things.
Inline links: Simulators
Sinfest1 mentions across 1 issues

Sinfest is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 28, 2022 and December 28, 2022. The archive places it in contexts such as "Sinfest was a standard apolitical webcomic from 2000 - 2011, when it suddenly pivoted to promoting a radical feminist message". It most often appears alongside 2C-B, 48: Bean, @AliceFromQueens.

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Sinfest
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December 28, 2022 · Original source
31: Sinfest was a standard apolitical webcomic from 2000 - 2011, when it suddenly pivoted to promoting a radical feminist message (the author is male). Then in 2019 it made another sudden pivot to alt-right and pro-Trump themes. “Fans” (there are few left who don’t need the quotation marks) speculate on its unusual journey.
Inline links: Sinfest, speculate on its unusual journey
Skeptical Reporter’s Guide to Covering Economic Development1 mentions across 1 issues

Skeptical Reporter’s Guide to Covering Economic Development is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 03, 2022 and February 03, 2022. The archive places it in contexts such as "to develop and distribute the “Skeptical Reporter’s Guide to Covering Economic Development,” a resource for local journalists". It most often appears alongside 538, 55-gal drum, 750k horny men.

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ACX Grants ++: The First Half
February 03, 2022 · Original source
#57: Advocate Against Subsidies And Tax Breaks For Local Corporations America’s state and local governments hand out roughly $95 billion in tax breaks, grants and other forms of economic development subsidies every year. That’s enough money to fully fund the 11 smallest state government budgets, combined. It’s a market-distorting wealth transfer enabled by voters’ fears that without subsidies, all the jobs and prosperity will go someplace else. So long as those fears persist – and they’ve been cultivated by the political and corporate interests that benefit from this crony capitalism – it will be virtually impossible to implement evidence-based policy reforms. That’s why the Center for Economic Accountability (CEA) works to change the way people think and feel about economic development. This year, we’re taking on the challenge of improving the quality of local media coverage of economic development deals across the country. Currently, local news coverage tends to be dominated by pro-subsidy viewpoints and lacks critical context about costs and risks. That’s why we’re looking for support to develop and distribute the “Skeptical Reporter’s Guide to Covering Economic Development,” a resource for local journalists who want to get the story right but need help getting past press release talking points to the real story. The Guide will preemptively answer the questions we regularly get asked by reporters and help them uncover the “who, what, where, when and why” of corporate welfare. For more, visit economicaccountability.org/skepticalguide/.
Skeptics StackExchange1 mentions across 1 issues

Skeptics StackExchange is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 17, 2025 and January 17, 2025. The archive places it in contexts such as "Claim on Skeptics StackExchange". It most often appears alongside @tamaybes, @venturetwins, A16Z.

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Skeptics StackExchange
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January 17, 2025 · Original source
38: Claim on Skeptics StackExchange, so far neither proven nor debunked:
Inline links: on Skeptics StackExchange
Sky News1 mentions across 1 issues

Sky News is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 28, 2021 and December 28, 2021. The archive places it in contexts such as "her work has been cited on... Sky News". It most often appears alongside 1DaySooner, 2016 Washington carbon tax ballot initiative, @GoodSciProject.

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Sky News
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ACX Grants Results
December 28, 2021 · Original source
Alice Evans, $60,000, for sabbatical and travel to fund her research and associated book on "the Great Gender Divergence", ie why some countries developed gender equality norms while others didn't. A large body of research shows that gender equality, aside from its moral benefits, is also deeply important for economic development. Dr. Evans is an expert on the interaction of gender, history, and economics, whose work has been cited on BBC, Al Jazeera, and Sky News. She blogs here and podcasts here.
Inline links: Alice Evans, here
Slate Pitch1 mentions across 1 issues

Slate Pitch is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 01, 2025 and July 01, 2025. The archive places it in contexts such as "The piece also includes an amazing Slate Pitch". It most often appears alongside Afrobarometer, AGI, AI 2027.

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Slate Pitch
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July 01, 2025 · Original source
51: Related: The Incarceration Rate Is About To Fall Off A Cliff (X). Many prisoners serve sentences measured in decades, and many early offenders go on to pursue lifelong criminal careers, so the secular crime decline since the 1990s is only just starting to cash out in lower prison populations. If trends continue, by 2035 the US will move from the world’s 5th-highest incarceration rate to 75th-highest! And: “The piece also includes an amazing Slate Pitch, arguing that progressives should embrace private prisons because they’re much easier to close than unionized, state-run facilities once they are no longer needed.”
Inline links: The Incarceration Rate Is About To Fall Off A Cliff (X)
Slate Star Codex Endorses Clinton, Johnson, Or Stein1 mentions across 1 issues

Slate Star Codex Endorses Clinton, Johnson, Or Stein is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 30, 2024 and October 30, 2024. The archive places it in contexts such as "my 2016 post, Slate Star Codex Endorses Clinton, Johnson, Or Stein". It most often appears alongside 1984, Abandon Harris, Acemoglu.

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ACX Endorses Harris, Oliver, Or Stein
October 30, 2024 · Original source
I mostly stand by the reasoning in my 2016 post, Slate Star Codex Endorses Clinton, Johnson, Or Stein. But you can read a better and more recent argument against Trump’s economic policy here, and against his foreign policy here. You can read an argument that Trump is a dangerous authoritarian here.
Inline links: Slate Star Codex Endorses Clinton, Johnson, Or Stein, here, here, here
Slate Star Codex Survey1 mentions across 1 issues

Slate Star Codex Survey is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 18, 2023 and January 18, 2023. The archive places it in contexts such as "Taken from the 2020 Slate Star Codex Survey". It most often appears alongside Astralcodexten, SAT, Slate Star Codex.

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SSC Survey Results On Schooling Types
January 18, 2023 · Original source
Taken from the 2020 Slate Star Codex Survey. SSC/ACX readers are a heavily-selected population and nothing about them necessarily generalizes to anyone who isn’t an SSC/ACX reader. But you are an SSC/ACX reader, so maybe they generalize to you. Most of these questions are heavily confounded by different types of people going to different schools. In a few cases, I’ve made feeble efforts to get past this, in other cases I haven’t tried. All of this is rough and weak, you don’t need to comment to tell me this.
Inline links: 2020 Slate Star Codex Survey
As always, you can try to replicate my work using the publicly available SSC Survey Results. If you get slightly different answers than I did, it’s because I’m using the full dataset which includes a few people who didn’t want their answers publicly released. If you get very different answers than I did, it’s because I made a mistake, and you should tell me.
Inline links: SSC Survey Results
Slate.com1 mentions across 1 issues

Slate.com is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 21, 2021 and January 21, 2021. The archive places it in contexts such as "Slate.com had apparently published some privacy-violating stories". It most often appears alongside 7500 people signed a petition, Alex Tabarrok, Balaji Srinivasan.

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Slate.com
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Still Alive
January 21, 2021 · Original source
I got an email from a very angry man who believed I personally wrote the entirety of Slate.com. He told me I was a hypocrite for wanting privacy even though Slate.com had apparently published some privacy-violating stories. I tried to correct him, but it seemed like his email client only accepted replies from people on his contact list. I think this might be what the Catholics call "invincible ignorance". But, uh, I'm sure if we got a chance to sort it out I would have been humbled by his support.
No, seriously, it was awful. I deleted my blog of 1,557 posts. I wanted to protect my privacy, but I ended up with articles about me in New Yorker, Reason, and The Daily Beast. I wanted to protect my anonymity, but I Streisand-Effected myself, and a bunch of trolls went around posting my real name everywhere they could find. I wanted to avoid losing my day job, but ended up quitting so they wouldn't be affected by the fallout. I lost a five-digit sum in advertising and Patreon fees. I accidentally sent about three hundred emails to each of five thousand people in the process of trying to put my blog back up.
Inline links: deleted my blog
But I still had this really strong sense that my career hung on this thread of staying anonymous. Sure, my security was terrible, and a few trolls and malefactors found my real name online and used it to taunt me. But my attendings and my future employers couldn't just Google my name and find it immediately. Also, my patients couldn't Google my name and find me immediately, which I was increasingly realizing the psychiatric community considered important. Therapists are supposed to be blank slates, available for patients to project their conflicts and fantasies upon. Their distant father, their abusive boyfriend, their whatever. They must not know you as a person. One of my more dedicated professors told me about how he used to have a picture of his children on a shelf in his office. One of his patients asked him whether those were his children. He described suddenly realizing that he had let his desire to show off overcome his duty as a psychiatrist, mumbling a noncommital response lest his patient learn whether he had children or not, taking the picture home with him that night, and never displaying any personal items in his office ever again. That guy was kind of an extreme case, but this is something all psychiatrists think about, and better pychiatrist-bloggers than I have quit once their side gig reached a point where their patients might hear about it. There was even a very nice and nuanced article about the phenomenon in - of all places - The New York Times.
Inline links: all psychiatrists, better pychiatrist-bloggers than I, The New York Times
Slavoj Zizek1 mentions across 1 issues

Slavoj Zizek is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 04, 2024 and April 04, 2024. The archive places it in contexts such as "And so does Slavoj Zizek (Substack)". It most often appears alongside Aaron Peskin, ACLU, AGI And The Efficient Market Hypothesis.

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Slavoj Zizek
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April 04, 2024 · Original source
12: Related: Peter Singer has a Substack now. And so does Slavoj Zizek.
Inline links: Peter Singer has a Substack, Slavoj Zizek
5: In honor of International Women’s Day, Binance has launched “Binance Perfume” to “bring crypto[currency] closer to women”. I was skeptical, but these sure are women. 6: Chatbot Arena Leaderboard - if I’m understanding this right, the crowd compares two LLMs, rates which one is better, and then they use an equivalent of chess’ Elo system to give each of them a score. Claude 3 and GPT-4 currently locked in a tight race for first.
Inline links: has launched, https://substackcdn.com/image/fetch/$s_!GLDB!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0b10ab5b-2b2f-4334-b934-ecd5165b4d06_1024x600.jpeg, Chatbot Arena Leaderboard
I was skeptical, but these sure are women. 6: Chatbot Arena Leaderboard - if I’m understanding this right, the crowd compares two LLMs, rates which one is better, and then they use an equivalent of chess’ Elo system to give each of them a score. Claude 3 and GPT-4 currently locked in a tight race for first.
Inline links: Chatbot Arena Leaderboard
Slavoj Žižek Substack1 mentions across 1 issues

Slavoj Žižek Substack is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 04, 2024 and April 04, 2024. The archive places it in contexts such as "And so does Slavoj Zizek". It most often appears alongside Aaron Peskin, ACLU, AGI And The Efficient Market Hypothesis.

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April 04, 2024 · Original source
...sident Eisenhower’s grandson married President Nixon’s daughter . 11: MichaelMF lists his favorite up-and-coming bloggers . 12: Related: Peter Singer has a Substack now. And so does Slavoj Zizek . 13: For April Fools’ Day, the Less Wrong admin team pivoted to music and released an (AI-generated) album of some of their favorite Less Wrong and other rationalsphere...
Slaw’s Newsletter1 mentions across 1 issues

Slaw’s Newsletter is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 29, 2022 and June 29, 2022. The archive places it in contexts such as "Slaw (writes Slaw’s Newsletter ) says :". It most often appears alongside A History Of Mankind, ACS, Alexander Turok.

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Slaw’s Newsletter
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Highlights From The Comments On San Fransicko
June 29, 2022 · Original source
Slaw (writes Slaw’s Newsletter) says:
Inline links: Slaw’s Newsletter, says
Slow Corporations As An Intuition Pump For AI R&D Automation1 mentions across 1 issues

Slow Corporations As An Intuition Pump For AI R&D Automation is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 19, 2025 and May 19, 2025. The archive places it in contexts such as "Two new posts on AI Futures blog, Slow Corporations As An Intuition Pump For AI R&D Automation". It most often appears alongside ACX, AI 2027, AI Futures blog.

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Open Thread 382
May 19, 2025 · Original source
...nt $1,000 - $10,000 in cash + compute) to projects on how “AI can empower open inquiry, not suppress it”. 6: Two new posts on AI Futures blog, Make The Prompt Public and Slow Corporations As An Intuition Pump For AI R&D Automation .
Slow, Costly Clinical Trials Delay Biomedical Breakthroughs1 mentions across 1 issues

Slow, Costly Clinical Trials Delay Biomedical Breakthroughs is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 01, 2023 and June 01, 2023. The archive places it in contexts such as "Related article by Willy Chertman on how Slow, Costly Clinical Trials Delay Biomedical Breakthroughs". It most often appears alongside 2006 IAU vote, 9/11, Abacha.

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June 01, 2023 · Original source
22: Related article by Willy Chertman on how Slow, Costly Clinical Trials Delay Biomedical Breakthroughs. Twitter discussion here.
Inline links: Slow, Costly Clinical Trials Delay Biomedical Breakthroughs, here
Slowing Down AI Progress Is An Underexplored Alignment Strategy1 mentions across 1 issues

Slowing Down AI Progress Is An Underexplored Alignment Strategy is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 08, 2022 and August 08, 2022. The archive places it in contexts such as "and Slowing Down AI Progress Is An Underexplored Alignment Strategy". It most often appears alongside 80,000 Hours, 80,000 Hours’ Guide To Working In AI Policy And Strategy, AGI.

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Why Not Slow AI Progress?
August 08, 2022 · Original source
This is the most common question I get on AI safety posts: why isn’t the rationalist / EA / AI safety movement doing this more? It’s a great question, and it’s one that the movement asks itself a lot - see eg What An Actually Pessimistic AI Containment Strategy Looks Like and Slowing Down AI Progress Is An Underexplored Alignment Strategy.
Inline links: What An Actually Pessimistic AI Containment Strategy Looks Like, Slowing Down AI Progress Is An Underexplored Alignment Strategy
SMBC1 mentions across 1 issues

SMBC is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 02, 2023 and February 02, 2023. The archive places it in contexts such as "(source: SMBC )". It most often appears alongside Act Blue, ACXers, Alex Berenson.

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SMBC
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1
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February 02, 2023
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February 02, 2023
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Mostly Skeptical Thoughts On The Chatbot Propaganda Apocalypse
February 02, 2023 · Original source
Source: XKCD (source: SMBC) How seriously should we take these comics? The worse chatbots are (compared to humans) as friends, influencers, and debate partners, the less we have to worry about. But the better chatbots are as friends, influencers, and debate partners, the more upside there could be. I don’t want to speculate on exactly how this would work: it gets too close to the original idea of the Singularity in the sense of “a point where crazy things are happening so fast it’s not worth trying to predict”. Conclusion And Predictions I’m nervous writing this, because I remember the halcyon days of the early 2000s, when we all assumed the Internet would be a force for reason and enlightenment. Surely if everyone were just allowed to debate everyone else, without intervening barriers of race or class or religion, the best arguments would rise to the top and we would enter a new utopia of universal agreement. The scale at which this project failed makes me reluctant to ever speculate again about anything regarding online discourse going well. Maybe in the 2030s, the idea that propagandabots would be either easily dispatched, or else model netizens writing good content, will seem just as naive as the early 2000s vision. And the chatbot propaganda apocalypse is a popular thing to believe in without any clear definition, and there will surely be some celebrated cases of chatbots causing mischief, so I’m setting myself up to fail here by the standards I mentioned in Nostradamus to Fukuyama. Still, I do want to go on record as doubting the strongest form of this thesis. As for predictions: If I ask ACXers in 2030 whether any of them have had a good friend for more than a month who turned out to (unknown to them) be a chatbot, or who they strongly suspect may have been a chatbot, fewer than 10% will say yes. I may resolve this by common sense if it’s obvious, or by ACX survey if it’s not: 95%
Inline links: XKCD, https://www.smbc-comics.com/index.php?db=comics&id=1024, Nostradamus to Fukuyama
(source: SMBC) How seriously should we take these comics? The worse chatbots are (compared to humans) as friends, influencers, and debate partners, the less we have to worry about. But the better chatbots are as friends, influencers, and debate partners, the more upside there could be. I don’t want to speculate on exactly how this would work: it gets too close to the original idea of the Singularity in the sense of “a point where crazy things are happening so fast it’s not worth trying to predict”. Conclusion And Predictions I’m nervous writing this, because I remember the halcyon days of the early 2000s, when we all assumed the Internet would be a force for reason and enlightenment. Surely if everyone were just allowed to debate everyone else, without intervening barriers of race or class or religion, the best arguments would rise to the top and we would enter a new utopia of universal agreement. The scale at which this project failed makes me reluctant to ever speculate again about anything regarding online discourse going well. Maybe in the 2030s, the idea that propagandabots would be either easily dispatched, or else model netizens writing good content, will seem just as naive as the early 2000s vision. And the chatbot propaganda apocalypse is a popular thing to believe in without any clear definition, and there will surely be some celebrated cases of chatbots causing mischief, so I’m setting myself up to fail here by the standards I mentioned in Nostradamus to Fukuyama. Still, I do want to go on record as doubting the strongest form of this thesis. As for predictions: If I ask ACXers in 2030 whether any of them have had a good friend for more than a month who turned out to (unknown to them) be a chatbot, or who they strongly suspect may have been a chatbot, fewer than 10% will say yes. I may resolve this by common sense if it’s obvious, or by ACX survey if it’s not: 95%
Inline links: SMBC, Nostradamus to Fukuyama
SmoothBrains1 mentions across 1 issues

SmoothBrains is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 28, 2022 and December 28, 2022. The archive places it in contexts such as "The SmoothBrains blog writes about a weird anthropologist". It most often appears alongside 2C-B, 48: Bean, @AliceFromQueens.

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SmoothBrains
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December 28, 2022 · Original source
43: Planetary Scale Vibe Collapse, maybe the weirdest post I’ve read this year. Julian Jaynes argued that modern theory of mind, where we know we’re individuals, understand that we have minds, and can “talk” “things” “over” “with” “ourselves” “in” “our” “heads”, is only as old as the Late Bronze Age; people before that were much weirder. I always imagined this transition as gradual and hard-to-notice. The SmoothBrains blog writes about a weird anthropologist who claimed to have been on a tiny Indian Ocean island during the exact moment of a sudden phase transition from pre-Jaynesian to post-Jaynesian mental states. I am almost sure this is false, and it goes harder on the Noble Savage trope than I have ever seen anything go before - but it was still very much worth reading.
Inline links: Planetary Scale Vibe Collapse, Julian Jaynes argued
SmoothBrains blog1 mentions across 1 issues

SmoothBrains blog is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 28, 2022 and December 28, 2022. The archive places it in contexts such as "The SmoothBrains blog writes about a weird anthro". It most often appears alongside 2C-B, 48: Bean, @AliceFromQueens.

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SmoothBrains blog
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Links For December 2022
December 28, 2022 · Original source
43: Planetary Scale Vibe Collapse, maybe the weirdest post I’ve read this year. Julian Jaynes argued that modern theory of mind, where we know we’re individuals, understand that we have minds, and can “talk” “things” “over” “with” “ourselves” “in” “our” “heads”, is only as old as the Late Bronze Age; people before that were much weirder. I always imagined this transition as gradual and hard-to-notice. The SmoothBrains blog writes about a weird anthropologist who claimed to have been on a tiny Indian Ocean island during the exact moment of a sudden phase transition from pre-Jaynesian to post-Jaynesian mental states. I am almost sure this is false, and it goes harder on the Noble Savage trope than I have ever seen anything go before - but it was still very much worth reading.
Inline links: Planetary Scale Vibe Collapse, Julian Jaynes argued
Snav’s Digest1 mentions across 1 issues

Snav’s Digest is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 20, 2022 and April 20, 2022. The archive places it in contexts such as "Snav (writes Snav’s Digest ) tries t"; "Snav (writes Snav’s Digest ) tries to explain the psychoanalytic perspective". It most often appears alongside A.E. Waite, Adlerian psychology, AL.

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Snav’s Digest
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1
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1
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Highlights From The Comments On "Sadly, Porn"
April 20, 2022 · Original source
— Snav (writes Snav’s Digest) tries to explain the psychoanalytic perspective:
Inline links: Snav, Snav’s Digest
To which Snav responded:
Inline links: Snav
snodgrass.blog1 mentions across 1 issues

snodgrass.blog is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 15, 2023 and September 15, 2023. The archive places it in contexts such as "He occasionally publishes essays at snodgrass.blog". It most often appears alongside @campeters4, A Strange Dream, a_reader.

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snodgrass.blog
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Book Review Contest 2023 Winners
September 15, 2023 · Original source
Why Machines Will Never Rule the World, reviewed by Thomas Jefferson Snodgrass. Thom is an AI researcher and winner of the 2022 Passage Prize for Poetry. He occasionally publishes essays at snodgrass.blog.
Inline links: Why Machines Will Never Rule the World, snodgrass.blog
Socratic Models1 mentions across 1 issues

Socratic Models is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 18, 2022 and April 18, 2022. The archive places it in contexts such as "there’s also this Socratic Models paper that I haven’t even gotten a chance to look at". It most often appears alongside China, Chinchilla, Christiano.

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Socratic Models
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1
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  • 22 April 18, 2022
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22
April 18, 2022 · Original source
(there’s also this Socratic Models paper that I haven’t even gotten a chance to look at, but which looks potentially impressive)
Inline links: Socratic Models paper
Some Unintuitive Properties Of Polygenic Disorders1 mentions across 1 issues

Some Unintuitive Properties Of Polygenic Disorders is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 30, 2025 and June 30, 2025. The archive places it in contexts such as "I discuss this example in Some Unintuitive Properties Of Polygenic Disorders". It most often appears alongside Association Of The Gut Microbiome With Treatment Resistance In Schizophrenia, Eat Shit And Prosper, Missing Heritability: Much More Than You Wanted To Know.

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1
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1
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Contra Skolnick On Schizophrenia Microbes
June 30, 2025 · Original source
This is exactly the concordance rate you should expect from a polygenic condition where 80% of the variance is explained by genes. I discuss this example in Some Unintuitive Properties Of Polygenic Disorders and run a discount simulation that assumes an 80% genetic disorder with 1% prevalence and demonstrates that you can get a very low twin concordance rate. Here is a paper that does the full formal simulation and finds a rate consistent with observed values.
Inline links: Some Unintuitive Properties Of Polygenic Disorders, Here
Somewhat Contra Marcus On AI Scaling1 mentions across 1 issues

Somewhat Contra Marcus On AI Scaling is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 13, 2022 and June 13, 2022. The archive places it in contexts such as "Gary Marcus has responded to Somewhat Contra Marcus On AI Scaling on his own Substack". It most often appears alongside Alexandros Marinos, Brazilian government, Crimson Wool.

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Open Thread 228
June 13, 2022 · Original source
3: Gary Marcus has responded to Somewhat Contra Marcus On AI Scaling on his own Substack: Does AI Really Need A Paradigm Shift. He is unhappy that I described him as thinking GPT’s performance “proves” its paradigm is doomed, whereas he only thinks it provides “evidence” for this. I agree that outside of math it’s generally not worth talking about “proving” things and I was using it colloquially as “provides such strong evidence that someone asserts it is true without any caveats or qualifiers”; I usually think this usage is fine but have edited it in this case since he feels misrepresented. He also gives probability estimates for some of the same statements I did - he thinks there’s only a 10% chance we can get full AGI without any paradigm shift (compared to my 40%), and only a 20% chance we can get it without something symbol-manipulation-y in particular (compared to my 66%). He also accuses me of unfairly focusing on him, rather than the many other people who agree with him. I am focusing on him because he is the person I am having this discussion with right now. He is the person I am having this discussion with right now partly because he tweeted about me 23 times in the past six days and I figured it was worth responding to him in some way. Still, this is probably a sign that I should stop, which I will do immediately.
Inline links: Somewhat Contra Marcus On AI Scaling, Does AI Really Need A Paradigm Shift
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A Buddhist Sun Miracle?
March 27, 2026 · Original source
Until now! Substacker Arthur T, building on research from Sophia In The Shell, has found a 1990s Buddhist sun miracle very similar to Fatima.
Inline links: Arthur T, Sophia In The Shell, a 1990s Buddhist sun miracle very similar to Fatima
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Open Thread 313
January 29, 2024 · Original source
"Seeds of Science would like to announce a new initiative for supporting independent researchers - the SoS Research Collective (announcement post). In brief, members of the Collective receive the following: a title (SoS Research Fellow) and profile page on our website, payment of $50 for each peer-reviewed article published in the SoS journal (learn more about our format and review process here), editing and advising services, and promotion on the SoS Substack. Independent researchers and early-career academics who conduct research activities outside of their academic work are welcome to apply. To apply, shoot us an email (info@theseedsofscience.org) that tells us who you are and what your research is about—CV, website, blog, twitter, etc.—and we will go from there.
Inline links: Seeds of Science, announcement post, here, SoS Substack, info@theseedsofscience.org
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Open Thread 313
January 29, 2024 · Original source
"Seeds of Science would like to announce a new initiative for supporting independent researchers - the SoS Research Collective (announcement post). In brief, members of the Collective receive the following: a title (SoS Research Fellow) and profile page on our website, payment of $50 for each peer-reviewed article published in the SoS journal (learn more about our format and review process here), editing and advising services, and promotion on the SoS Substack. Independent researchers and early-career academics who conduct research activities outside of their academic work are welcome to apply. To apply, shoot us an email (info@theseedsofscience.org) that tells us who you are and what your research is about—CV, website, blog, twitter, etc.—and we will go from there.
Inline links: Seeds of Science, announcement post, here, SoS Substack, info@theseedsofscience.org
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Practically-A-Book Review: Rootclaim $100,000 Lab Leak Debate
March 28, 2024 · Original source
Source: NPR. To be fair, we have only the scientist’s word that this is why he had the picture. But he definitely did have it. People say it would be a surprising coincidence if a zoonotic coronavirus pandemic just so happened to start in a city with a big coronavirus research lab, and this is true. But it would be an even more surprising coincidence if a lab-leak coronavirus pandemic just so happened to first get detected at a raccoon-dog stall in a wet market! Saar: It’s not clear that the first case was at the wet market; a certain Mr. Chen, with no connection to the market, seems to have fallen sick on December 8. An SCMP article suggested there were 92 previously-undetected cases suspicious for COVID as far back as November. And even if half of the first forty universally-agreed-upon cases had market connections that means another half didn’t. There was a bias towards detecting cases at the market: because authorities thought the market was the origin, and because everyone was thinking about zoonosis after SARS1, they only screened/diagnosed people with a market connection. One of the few non-market-connected COVID cases detected during this period was only detected because he was the relative of a hospital worker; the worker noticed the signs and insisted they go to the hospital despite the lack of a wet market connection. Although the map of positive samples and cases at the market was centered near the raccoon-dog stall, that could be because that area was sampled more; it’s also close to the mahjong room, where visitors and vendors at the market would go and unwind in a tight, poorly ventilated area. The next session will focus more on the WIV, but the short version is that they were doing lots of gain of function research. So one story compatible with the evidence is that a worker at WIV got infected with their modified coronavirus and passed it to his contacts. COVID started spreading quietly a few weeks to months before the first market-related case was detected. This accounts for the 92 earlier cases, Mr. Chen’s case, and the half of officially-detected cases with no wet market association. Then an infected person went to the market, causing a super-spreader event. Some of the infected market patrons went to the hospital, where doctors traced it back to the market and told other doctors to be on the lookout for wet market patrons coming in with weird viral pneumonias. They found some, declared victory, and the few anomalies - like the hospital worker’s relative - were forgotten, or assumed to have wet market connections that nobody could find. China quashed all evidence of the lab research (as was done in previous lab leak cases, eg the USSR) so all we have is the apparent wet market links that Peter found so convincing. Peter: The supposed pre-wet-market cases are confirmed fakes. Yes, the WHO did an investigation of whether there might have been COVID cases circulating before the wet market, and identified 92 unusual pneumonias that merited further review. But their final investigation, which included testing samples from these people after good tests became available, found that none of these people really had COVID. As for Mr. Chen, he said in an interview that he was hospitalized for dental issues on December 8, caught COVID in the hospital on December 16, and then was erroneously reported as “hospitalized for COVID on December 8”. The December 16 date is after the first wet market cases. Further, it seems epidemiologically impossible for COVID to have been circulating much before the first cases were officially detected December 11. The COVID pandemic doubles every 3.5 days. So if the first infection was much earlier - let’s say November 11 - we would expect 256x as much COVID as we actually saw. Even if the first couple of cases were missed because nobody was looking for them, the number of hospitalizations, deaths, etc, in January or whenever were all consistent with the number of people you’d expect if the pandemic started in early December - and not consistent with 256x that many people. So probably we should just accept that the first reported case - a wet market vendor, December 11 - was very early in the pandemic. She wasn’t literally the first case - that would most likely have been someone who worked at the raccoon-dog shop, whose case might (like 95% of COVID cases) have been mild enough not to come to medical attention. But she was certainly very early. Although authorities eventually decided COVID spread through a wet market and started deliberately looking for wet market connections, this only happened on December 30. So the earliest cases - including the 40 very earliest cases where half came from the wet market - weren’t biased (at least not through that particular route). So the claim that “the first case, and half of the first 40 cases, had wet market connections” stands as real and convincing evidence. Although the exact center of the map of positive COVID samples in the wet market was the mahjong room, the samples taken from the mahjong room were not, themselves, positive (cf: although a low-resolution population density map of New York might show Central Park in the exact center of the population density gradient, Central Park does not itself have population). There was no real “super-spreader event” at the wet market. There was a slow burn - one case the first day, a few more the next day, a few more the day after that. It’s hard to see how a single visit from an infected lab worker could do that. So the only way it could possibly be a lab leak is if the lab leaked sometime in late November, infected exactly one lab worker, that worker went straight to the wet market, infected a vendor, then went home, quarantined, recovered, and all other cases were downstream of that first infected wet market vendor. This is unparsimonious. Saar: The only source saying that Mr. Chen got sick early was an anonymous interview. And even if he was later than the first wet market cases, nobody was able to find any wet market connections. This means that whoever infected him was earlier than the index case and not linked to the wet market. Peter argued that COVID couldn’t have been more than a few weeks old when the first wet market cases were detected. But this was based on its known doubling rate. If pre-discovery COVID had a slower doubling time than known COVID, it could have been around longer. And post-lockdown serology suggested numbers that were larger than claimed at the time. So contra Peter’s claims, the infection could have been going on longer, which wouldn’t require the first lab worker to go straight to the market. It could have been weeks. Dr. Jesse Bloom’s investigation of the wet market samples, considered the final and most conclusive, failed to find a clear connection between COVID and raccoon-dogs or any other animals. Although the concentration of positive samples seemed highest near the raccoon dog stall, if you do a formal statistical analysis of which animals’ DNA was found near COVID samples most often, raccoon dogs are near the bottom. The top is wide-mouth bass, which can’t get COVID. This is obviously contamination, probably from infected humans touching wide-mouth bass tanks or something. Although the Chinese data included a negative sample from a mahjong table, it included a mention of poultry being sold nearby, which might mean this wasn’t the mahjong room itself, but some other mahjong table at a poultry shop elsewhere in the market, and (dry) mahjong tables might not hold the virus well anyway. Peter: Raccoon-dogs were sold in various cages at various stalls, separated by air gaps big enough to present a challenge for COVID transmission, and there’s no reason to think that one raccoon-dog would automatically pass it to all the others. The statistical analysis just proves there were many raccoon-dogs who didn’t have COVID. But you only need one. The raccoon dog shop and the drain leading out of the raccoon dog shop had some of the highest positive sample rates, which is more interesting than a statistical analysis which everyone agrees must be wrong (since it favors bass). It’s unclear why the negative mahjong sample says something about poultry, but based on the stated location, it’s definitely the one in the mahjong room. Session 1.5: Lineages This was technically part of Session 2, but formed enough of a discrete topic that I found it confusing to intermix it with all the other viral genetics points. I’m spinning it out into a separate summary, but the videos are all in the next session. Yuri: The coronavirus eventually mutated into many different strains. But the first big split, seen in some of the earliest samples, is between two different sub-strains called Lineage A and Lineage B, which differ by two mutations. In these two mutations, Lineage A is the same as BANAL-52, a bat virus which is the closest-known relative of COVID, but Lineage B is different. Since COVID probably evolved from something like BANAL-52, Lineage A must have come first, spread for a while, and then gotten two new mutations, turning it into Lineage B. All of the cases at the wet market, including the first detected case, were Lineage B. Lineage A wasn’t discovered until about a week later, and none of the Lineage A patients had been to the wet market. Lineage A (left) was used by the Minoan Cretans, but has never been deciphered. Lineage B (right) was used by the Mycaeneans for lists of palace goods. This matches Saar’s story above. The lab leaked to somewhere else in Wuhan, not the wet market. The virus spread undetected in the population for a while. During this time, it mutated to Lineage B. Then one of the people with Lineage B went to the wet market and started a superspreader event. The authorities sampled the patients, found Lineage B, then started looking elsewhere. Later they detected some of the earlier Lineage A cases. The market is unlikely to be the origin of the pandemic, because the original Lineage A strain wasn’t found there. Peter: Although Lineage A is evolutionarily older, Lineage B started spreading in humans first. We know this because Lineage B is more common. Throughout the early pandemic, until the D614G variant drove all other strains extinct, a consistent 2/3 of the cases were B, compared to 1/3 A. Both strains spread at the same rate, so the best explanation is that B started earlier than A. Since COVID doubles every 3-4 days, probably Lineage B started 3-4 days earlier than Lineage A, which explains why it’s always been twice as many cases. But also, Lineage B also has more internal genetic diversity than Lineage A. In general, older viruses have more genetic diversity (the “molecular clock”). This is further evidence that B started spreading first. Pekar 2022 and Pipes 2021 do analyses with known parameters for spread rate and diversity, and find 90%+ odds that Lineage B was the first one in humans. Why did the older strain start spreading later? Probably the virus crossed from bats into raccoon-dogs on some raccoon-dog farm out in the country. It spread in the raccoon-dogs for a while, racking up mutations, including the (less mutated) Lineage A strain and the (slightly more mutated) Lineage B strain. Then several raccoon-dogs were taken to Wuhan for sale, including one with Lineage A and another with Lineage B. The one with Lineage B passed its virus to humans earlier. Then 3-4 days later, the Lineage A one passed its virus to humans. Lineage A was first found in a Wuhan neighborhood right next to the wet market (closer to the wet market than 97% of Wuhan’s population). Again, it would be a bizarre coincidence if a lab leak pandemic was first detected at a wet market. But it would be an even more bizarre coincidence if a lab leak pandemic separated into two strains, and both were first detected at a wet market! Although no known wet market cases were Lineage A, a positive Lineage A environmental sample was found at the wet market, and everyone agrees most cases went undetected. So maybe the Lineage B raccoon-dog spread its virus to a vendor, and that sub-strain mostly stayed in the market. But the Lineage A raccoon-dog spread its virus to a customer, who went back to his house nearby, and that strain spread in the neighborhoods next to the market. This is the only story that explains the evolutionary precedence of A, the greater spread and older molecular clock of B, and the fact that both strains were first found very close to the wet market. Yuri/Saar: Lineage B could be more common and diverse because it got the advantage of a super-spreader event in the wet market. There are a few scattered cases of intermediates between A and B, and a few other scattered cases of lineages that seem even more ancestral (ie closer to the bat virus) than either. This doesn’t make sense in a double spillover hypothesis. But it does make sense if the lineages separated in human transmission somewhere between the lab and the first super-spreader event at the wet market. Peter: Again, the wet market wasn’t a super-spreader event. COVID spread in the wet market at exactly its normal spread rate, doubling about once every 3.5 days. Stop calling the wet market a super-spreader event. The scattered cases of “intermediates” are sequencing errors. They were all found by the same computer software, which “autofills” unsequenced bases in a genome to the most plausible guess. Because Lineage B was already in the software, depending on which part of a Lineage A virus you sequenced, you might get one half or the other autofilled as Lineage B, which looked like an “intermediate”. We know this because all the supposed “intermediates” were partial cases sequenced by this particular software. We can confirm this by noting that there are too many intermediates! That is, where Lineage A is (T/C) and Lineage B is (C/T), the software found both (T/T) “intermediates” and (C/C) “intermediates”. But obviously there can only be one real intermediate form, and we have to dismiss one or the other. But in fact we can dismiss both, because they were both caused by the same software bug. The scattered “progenitor” cases - those closer to the ancestral bat virus than either A or B - are reversions, ie cases where a new mutation in the virus happened to hit an already-mutated base and shift it back towards the ancestral virus. We know this because all of these “progenitors” were scattered cases found months after the pandemic started, often in entirely different countries from Wuhan. If these were real progenitor viruses, they would have either fizzled out or exploded into a substantial portion of all cases, not be found one time in one guy in Malaysia. Given the number of mutations the virus developed over the course of the pandemic, it’s inevitable that some of them would be mutations that bring it closer to the original bat virus, and in fact we find the number of “progenitors” found very nicely matches the number of progenitor-appearing viruses we would expect by chance. And in many cases, we know the “progenitors” are newer than the original lineages, because they also have some of the later mutations that Lineage A or B picked up along the way, alongside their apparent ancestral-bat-virus-like mutations. Session 2: Viral Genetics Yuri: Two years before COVID, scientists at the Wuhan Institute of Virology, together with colleagues at the University of North Carolina, sent in a grant proposal for the DEFUSE program. This program, intended to locate and better understand potential future pandemic viruses, involved going into bat caves and collecting new coronaviruses. Once they had them, they would do gain-of-function: specifically, they would add a furin cleavage site to make them more infectious and see what happened. (quick interlude: COVID’s spike protein has two sections: one binds to human cells through the ACE2 receptor, the other helps fuse with the cell after binding. In order to avoid the immune system, it hides both of these into one spike. But when it reaches a cell, it needs to separate them again. It takes advantage of a human respiratory enzyme, furin, to do the separation - this also ensures that it only infects its primary target, human respiratory cells. The part of COVID that lets it get separated by furin is called the “furin cleavage site”. COVID’s bat-virus ancestors were gastrointestinal viruses; the addition of a furin cleavage site was what made them respiratory viruses.) We’ve found two close relatives of COVID: bat viruses called RATG-13 and BANAL-52. In particular, COVID looks more or less like BANAL-52 plus a furin cleavage site. There are 1500 sarbecoviruses, members of the family of viruses that includes SARS and SARS2/COVID. None of them except COVID have furin cleavage sites. BANAL-52, COVID’s closest ancestor, doesn’t even have anything resembling one that could mutate into a functional furin cleavage site like COVID’s. Instead, COVID - which mostly just resembles BANAL-52 with a few scattered single-point mutations - has twelve completely new nucleotides in a row - a fully formed furin cleavage site that came out of nowhere. There is nowhere else in the genome that COVID differs from BANAL-52 in such a profound way. It’s just BANAL-52 plus a little bit of random mutation plus a fully-formed furin cleavage site that came out of nowhere. Further, the furin cleavage site is weird. It uses the protein arginine twice. But instead of the nucleotides coding for arginine in the usual viral way, both times it uses the codons CGG - the way that higher animals code for arginine. This works fine - it’s just not how viruses do it. So the obvious conclusion is that WIV, which said in 2018 that it was going to find viruses and add furin cleavage sites to them, found a close relative of BANAL-52 and added a furin cleavage site. Since they were humans, and most familiar with the human way of encoding arginine, they added it as CGG both times. COVID seemed surprisingly optimized for infecting humans. Of fifty animals it was tested in, including the usual coronavirus intermediate hosts (pangolins, raccoon-dogs, etc), it was best at infecting human cells. Further, a virus that enters a new species will usually show a burst of mutations as it “figures out” the best way to adapt to that species’ unique biology. But COVID has had a pretty constant mutation rate in humans, from the beginning of the pandemic to the end. That suggests it was already adapted to humans. This could be because the lab screened for viruses with existing adaptations, because they passed it through humanized mice in the lab, or because it adapted in the hundreds of undetected cases that happened between the lab and detection in the wet market. Usually, research with potentially dangerous coronaviruses is done in BSL-3 or 4, ie high to very-high security. But WIV was irresponsibly doing it in BSL-2, ie medium security. The researchers weren’t even required to wear masks. In general, about 1/500 labs will leak any given pathogen they’re working on (?!). But because WIV was researching such an infectious virus in such an irresponsible way, the odds of a leak were much higher. The most likely explanation for all these facts is that WIV went ahead and did the gain-of-function research they said they were going to do (the particular DEFUSE grant proposal we know about got rejected, but it proves that Wuhan wanted to do this, and they could easily have gotten funding somewhere else, or done it out of their regular budget). They found a close relative of BANAL-52 and added a furin cleavage site as a simple twelve-nucleotide insertion, using the human method of encoding arginine that their genetic engineers were familiar with. Then it leaked, spread for a while in the general Wuhan population, and eventually made it to the wet market where it got detected. Peter: As mentioned earlier, the DEFUSE grant was rejected. Further, the grant said that the Wuhan Institute of Virology was responsible for finding the viruses, and the University of North Carolina would do all the gain-of-function research. This was a reasonable division of labor, since UNC was actually good at gain-of-function research, and WIV mostly wasn’t. They had done a few very simple gain-of-function projects before, but weren’t really set up for this particular proposal and were happy to leave it for their American colleagues. Even if WIV did try to create COVID, they couldn’t have. As Yuri said, COVID looks like BANAL-52 plus a furin cleavage site. But WIV didn’t have BANAL-52. It wasn’t discovered until after the COVID pandemic started, when scientists scoured the area for potential COVID relatives. WIV had a more distant COVID relative, RATG-13. But you can’t create COVID from RATG-13; they’re too different. You would need BANAL-52, or some as-yet-undiscovered extremely close relative. WIV had neither. Are we sure they had neither? Yes. Remember, WIV’s whole job was looking for new coronaviruses. They published lists of which ones they had found pretty regularly. They published their last list in mid-2019, just a few months before the pandemic. Although lab leak proponents claimed these lists showed weird discrepancies, this was just their inability to keep names consistent, and all the lists showed basically the same viruses (plus a few extra on the later ones, as they kept discovering more). The lists didn’t include BANAL-52 or any other suitable COVID relatives - only RATG-13, which isn’t close enough to work. Could they have been keeping their discovery of BANAL-52 secret? No. Pre-pandemic, there was nothing interesting about it; our understanding of virology wasn’t good enough to point this out as a potential pandemic candidate. WIV did its gain-of-function research openly and proudly (before the pandemic, gain-of-function wasn’t as unpopular as it is now) so it’s not like they wanted to keep it secret because they might gain-of-function it later. Their lists very clearly showed they had no virus they could create COVID from, and they had no reason to hide it if they did. COVID’s furin cleavage site is admittedly unusual. But it’s unusual in a way that looks natural rather than man-made. Labs don’t usually add furin cleavage sites through nucleotide insertions (they usually mutate what’s already there). On the other hand, viruses get weird insertions of 12+ nucleotides in nature. For example, HKU1 is another emergent Chinese coronavirus that caused a small outbreak of pneumonia in 2004. It had a 15 nucleotide insertion right next to its furin cleavage site. Later strains of COVID got further 12 - 15 nucleotide insertions. Plenty of flus have 12 to 15 nucleotide insertions compared to other earlier flu strains. Sometimes insertions happen because of a mistake in viral replication. Other times the virus gets confused between its own RNA and its host’s, and splices a bit of the host RNA into the virus. This would neatly explain why the insertion used the unusual coding CGG for arginine, which is common in animals but rare in viruses. On the other hand, it’s not that rare in viruses - COVID uses CGG for arginine about 3% of the time. And human engineers don’t necessarily use it any more than that - Peter was able to find one example of humans adding arginine to a virus, and 0 out of the 5 arginines added were CGG. COVID’s furin cleavage site is a mess. When humans are inserting furin cleavage sites into viruses for gain-of-function, the standard practice is RRKR, a very nice and simple furin cleavage site which works well. COVID uses PRRAR, a bizarre furin cleavage site which no human has ever used before, and which virologists expected to work poorly. They later found that an adjacent part of COVID’s genome twisted the protein in an unusual way that allowed PRRAR to be a viable furin cleavage site, but this discovery took a lot of computer power, and was only made after COVID became important. The Wuhan virologists supposedly doing gain-of-function research on COVID shouldn’t have known this would work. Why didn’t they just use the standard RRKR site, which would have worked better? Everyone thinks it works better! Even the virus eventually decided it worked better - sometime during the course of the pandemic, it mutated away from its weird PRRAR furin cleavage site towards a more normal form. Further, COVID’s furin cleavage site was inserted via what seems to be a frameshift mutation - it wasn’t a clean insertion of the amino acids that formed the site, it was an insertion of a sequence which changed the context of the surrounding nucleotides into the amino acids that formed the site. This is a pointless too-clever-by-half “flourish” that there would be no reason for a human engineer to do. But it’s exactly the kind of weird thing that happens in the random chance of evolution. COVID is hard to culture. If you culture it in most standard media or animals, it will quickly develop characteristic mutations. But the original Wuhan strains didn’t have these mutations. The only ways to culture it without mutations are in human airway cells, or (apparently) in live raccoon-dogs. Getting human airway cells requires a donor (ie someone who donates their body to science), and Wuhan had never done this before (it was one of the technologies only used at the superior North Carolina site). As for raccoon-dogs, it sure does seems suspicious that the virus is already suited to them. The claim that COVID is uniquely adapted to humans is false. The paper that claimed that defined how well COVID was adapted to different animals by those animals’ difference (on the relevant cell receptors) from humans. So in its methodology, humans came out #1 by default. If you don’t do that, COVID is better-adapted to many other animals. It’s not necessarily true that viruses see a burst of mutations when they enter a new host. COVID spread to deer and mink, and in neither case was there a burst of mutations. COVID has a pretty simple job of infecting respiratory cells and is already very good at it, regardless of species. In Yuri’s model, Wuhan Institute of Virology picked up a discarded grant and decided to do the gain-of-function half allotted to a different university, despite their relative inexperience. They skipped over all the SARS-like viruses they were supposed to work on, and all the standard gain-of-function model backbones, in favor of BANAL-52, a virus which would not be discovered for another two years, but which they somehow had samples of, which they had for some reason decided to keep secret despite its total lack of interestingness. Then they would have had to eschew all usual gain-of-function practices in favor of inserting a weird furin cleavage site that shouldn’t have worked according to the theory they had at the time, via a frameshift mutation. Then they would have had to culture it, a technique beyond their limited capabilities. Then it would have had to leak, and magically show up again in front of the raccoon-dog stall at a wet market. Yuri: WIV wouldn’t have needed to keep BANAL-52 “secret” in some kind of sinister way. Plenty of researchers have backlogs of work they haven’t published yet. Probably they a found BANAL relative in one of their normal sampling trips, did some preliminary studies on it, and planned to publish it later once they cleaned up their data. Everyone works like this. The part of DEFUSE saying that they would only work on viruses that were 95% similar to SARS is unclear and might mean something else. It looks more like they say they’ll start with those viruses, but also do some work on novel viruses. BANAL-52 could have been one of the novel viruses. The furin cleavage site is weird, but the researchers might have done that on purpose, to make the virus easier to keep track of, or to test different furin cleavage sites. Depending on the exact BANAL-52 relative they used, it might not even be a frameshift; there’s a particular way to spell serine that would make the insertion more natural. The claims that COVID can’t be cultured in normal media are based on speculative original research by Peter and might not hold up. Peter: WIV did most of its virus-gathering in a trip to a Yunnan cave between 2010 and 2015. All those viruses have long since been processed and added to the database. There’s no sign that they made more trips to Yunnan caves, and no reason for them to keep that secret. So the idea that they might just have some new viruses they didn’t publish doesn’t hold up. But suppose they did make more trips. Given the amount of time between the DEFUSE proposal and COVID, if they kept to their normal virus-collection rate, they would have gotten about thirty new viruses. What’s the chance that one of those was BANAL-52? There are thousands of bat viruses, and BANAL-52 is so rare that it wasn’t found until well after the pandemic started and people were looking for it very hard. So the chance that one of their 30 would be BANAL-52 is low. Also, they said in DEFUSE that they planned to go back to the same Yunnan cave. But BANAL-52 was found far away from that cave, so unless it ranged over a wide area, they probably couldn’t have found it even if they got very lucky. Session 3: Closing Arguments This third debate was supposed to be about “inference”, ie how much Bayesian evidence was provided by each of the facts given so far, and how to fit them into the Rootclaim probabilistic model. I’m going to relegate my summary of the more probabilistic half to the next section of this post, and just include the closing arguments here. Saar: Peter’s case hinges on the idea that it’s very improbable that a lab leak pandemic would first show up at a wet market. But this isn’t necessarily improbable. The Huanan Seafood Market had several factors that made it a likely location for a superspreader event. It was busy, with over 10,000 visitors a day. Many of the people there (eg the 1,000 vendors) came back daily, letting them reinfect each other. It had poor ventilation, especially in the high-positivity area near the raccoon-dog stall. It had cold wet surfaces on which the virus could survive for long periods. It was indoors, which prevented UV light from killing the virus. Given a small amount of sporadic COVID going around Wuhan, it’s not surprising for the first place it started spreading en masse to be a wet market. In fact, we have several examples of this. When China was COVID Zero, there would occasionally be small outbreaks that the authorities would have to contain. Most of these were at wet markets. For example, the big COVID outbreak in Beijing started at Xinfadi Market, their local seafood market. This couldn’t be an animal spillover, because there were no raccoon-dogs or other weird wildlife there. So it must be that wet markets are natural places for superspreader events. There are several other examples, which make up about half of the total outbreaks in Zero COVID era China, plus others in Singapore and Thailand. Since COVID clusters concentrate in wet markets even when there is no animal spillover, we should accept this as a property of the virus, and not attribute any significance to the fact that this happened in Wuhan too. Peter: About 1/10,000 citizens of Wuhan was a wet market vendor. So there’s a 1/10,000 chance that the first known COVID case should be a wet market vendor by chance alone. Weibo lists the most popular places for people to check in to their network on their phones, and the wet market was the 1600th most popular place in Wuhan, meaning that if you weight locations by busy-ness, there’s a less than 1/1600 chance that the first cases would be in the wet market. Yes, the wet market is indoors, has mediocre ventilation, has repeat visitors, etc. So do thousands of other places in Wuhan, like schools, hospitals, workplaces, places of worship. The wet market isn’t special in any way. And again, it wasn’t a superspreader event! COVID spread at the same rate in the wet market as it does everywhere else: doubling once per 3.5 days. It doesn’t matter what kinds of arguments you can come up with for why the wet market should have been the perfect superspreader event location, we can look at it and see that it wasn’t. It’s an environment that spreads COVID at exactly the normal rate. Zero COVID era Chinese outbreaks were concentrated in wet markets because they received infected animal products. We know why there was an outbreak in the Xinfadi Market in Beijing: it was because the seafood stall got frozen fish from some non-Zero-COVID country, the fish had COVID particles on it, and the vendor got infected and spread it to everyone else. Something like this is true for the other Chinese wet market based outbreaks we know about it. So this makes the opposite point you think it does: wet markets start outbreaks because there are infected goods being sold there. Then the virus spreads through the wet market at a completely normal rate. Saar: The Weibo list of 1600 places bigger than the wet market is likely inaccurate, because it's based on check-in data and people don't check in to seafood markets. Most of those 1600 places aren't amenable to superspread. The 70 markets supposedly bigger than Huanan are irrelevant, because they're supermarkets, open air markets, etc. Huanan is the largest seafood market in central China, and a more likely place for the first cluster of cases to be noticed. Markets weren't a common spillover location in SARS1, so the zoonosis hypothesis hasn't "called" this event in a way that should give them a high Bayes factor. And there’s still plenty of evidence for isolated (though not super-spreading) pre-market cases. A British expatriate in Wuhan, Connor Reed, says he got sick in November, three weeks before the first wet market case. Later the hospital tested his samples and said it was COVID. Another paper reports 90 cases before the first wet market one. Peter: Connor Reed was lying. The case wasn’t reported in any peer-reviewed paper. It was reported in the tabloid The Daily Mail, months after it supposedly happened. He also told the Mail that his cat died of coronavirus too, which is rare-to-impossible. Also, to get a positive hospital test, he would have had to go to the hospital, but he was 25 years old and almost no 25-year-olds go to the hospital for coronavirus. His only evidence that it was COVID was that two months later, the hospital supposedly “notified” him that it was. The hospital never informed anyone else of this extremely surprising fact which would be the biggest scientific story of the year if true. So probably he was lying. Incidentally, he died of a drug overdose shortly after giving the Mail that story; while not all drug addicts are liars, given all the other implausibilities in his story, this certainly doesn’t make him seem more credible. And in any case, he claimed he got his case at a market “like in the media” The other 90 cases are also fake. A lab leak guy found a paper that mentioned 90 more cases than other papers, and made up a conspiracy theory where the author was trying to secretly communicate that there had been 90 secret cases before any of the confirmed cases, even though there was nothing about this in the text of the paper. But actually that paper just counted cases differently than other papers, and they were referring to normal cases after the pandemic officially started. Again, I’ll come back to the discussion about inference later, but for now, here’s a table of both sides’ reasoning. This exact presentation comparing both analyses is mine3, but you can see Saar’s version here, and Peter’s starting at 45:33 of this video. Slightly made up; the two sides didn’t express their probabilities in the same way and I had to make editorial decisions to match them. Note that these aren't entirely comparable because Peter is being laxer about out-of-model probability than Saar. Although Saar's final odds here are 533-to-1, this just the central estimate. Rootclaim’s real final probability is 94% lab leak. You can see their analysis here. And The Winner Is . . . … … … … … Peter and the zoonosis hypothesis. This was a decisive victory. There were two judges, who each gave separate verdicts (or were allowed to declare a draw). Both judges decided in favor of Peter. You can see the judges’ own summary of their reasoning here (Will, Eric) Manifold agreed with the judges. There was a prediction market on who would win. It started out 70-30 in favor of lab leak. As the videos came out, zoonosis started doing better and better. I don’t want to take the exact final numbers too seriously, since I think some of the later price increases involved hints from the participants’ behavior. But it’s clear which way viewers thought the wind was blowing4. Around the same time, the Good Judgment Project - Philip Tetlock’s group studying superforecasters - put out a report on the lab leak hypothesis. After studying it in depth, his forecasters ended up 75-25 in favor of zoonosis. The Rootclaim debate was one of ten sources they said they found especially interesting. And also around the same time, and unrelated to any of this, the Global Catastrophic Risks Institute surveyed experts (“168 virologists, infectious disease epidemiologists, and other scientists from 47 countries”) and found the same thing (though see here for some potential problems with the survey): For what it’s worth, I was close to 50-50 before the debate, and now I’m 90-10 in favor of zoonosis. III. The Math And The Aftermath The third debate session was about “inference”, how to put evidence together. I put this part off until after disclosing the winner, because I wanted to talk about some of these issues at more length. The Math: Judges Both judges included a probabilistic analysis in their written decision. Here’s the same table as above, expanded to add the judges: I shoehorned the judges’ factors into the categories I already had; some of them were actually subtly different from Peter’s, Saar’s, and each other’s. The “priors” category is especially a mess here. We’ll go over these later, but I get the impression that they both thought of probabilistic analyses as an afterthought. For example, Judge Eric wrote 30,000 words about which considerations moved him, and only then includes the analysis, saying: I am not convinced that this Bayesian calculation is even an appropriate way to estimate the relative posterior probability of Z and LL; it just seemed fair that after criticizing Rootclaim’s calculations at length I should make an attempt at it myself. Judge Will’s decision ran to 10,000 words. He said he independently tried both reasoning it out intuitively, and running the Bayesian analysis, and was relieved when these two methods returned the same result. He said: I am skeptical that the Bayesian decision making/evaluation methods are any more "objective" than [intuitive reasoning]. I think they maximize legibility, not objectivity, and tend to hide the intuitive/heuristic portion in the data inclusion step and values, where it’s harder to see . . . I am not skilled in the Bayesian method, and I am sure I made significant mistakes. More time and practice would improve and refine my estimates. At the fundamental rules of the universe level, Bayesian analysis must be the best way to evaluate evidence. However, I am unsure that it’s a good strategy for a human given our cognitive limitations, and doubly unsure it’s truly being used (in the dispassionate sense) where the outcome is social desirability/fame/Twitter likes. I’m focusing on this because Saar’s opinion is that the debate went wrong (for his side) because he didn’t realize the judges were going to use Bayesian math, they did the math wrong (because Saar hadn’t done enough work explaining how to do it right), and so they got the wrong answer. I want to discuss the math errors he thinks the judges made, but this discussion would be incomplete without mentioning that the judges themselves say the numbers were only a supplement for their intuitive reasoning. That having been said, let’s look deeper into some of Saar’s concerns. The Math: Extreme Odds Saar complained that Peter’s odds were too extreme. For example, Peter said there was only a 1/10,000 chance that a lab leak pandemic would first show up at a wet market. Peter’s argument went something like: obviously a zoonotic pandemic would start at a site selling weird animals. But a lab leak pandemic - if it didn’t start at the lab - could show up anywhere. 1/10,000 Wuhan citizens work at the wet market. So if a lab leak was going to show up somewhere random, the wet market was a 1/10,000 chance. Saar had specific arguments against this, but he also had a more general argument: you should rarely see odds like 1/10,000 outside of well-understood domains. In his blog post, he gave this example: A prosecutor shows the court a statistical analysis of which DNA markers matched the defendant and their prevalence, arriving at a 1E-9 probability they would all match a random person, implying a Bayes factor near 1E9 for guilty. But if we try to estimate p(DNA|~guilty) by truly assuming innocence, it is immediately evident how ridiculous it is to claim only 1 out of a billion innocent suspects will have a DNA match to the crime scene. There are obviously far better explanations like a lab mistake, framing, an object of the suspect being brought by someone to the scene, etc. So the real p(wet market|lab leak) isn’t the 1/10,000 chance a pandemic arising in a random place hits the wet market, but the (higher?) probability that there’s something wrong with Peter’s argument. Then Saar tried to show specific things that might be wrong with Peter’s argument. I didn’t find his specific examples convincing. But maybe the question shouldn’t be whether I agreed with him. It should be whether I’m so confident he’s wrong that I would give it 10,000-to-1 odds. This makes total sense, it’s absolutely true, and I want to be really, really careful with it. If you take this kind of reasoning too far, you can convince yourself that the sun won’t rise tomorrow morning. All you have to do is propose 100 different reasons the sunrise might not happen. For example: The sun might go nova.
Inline links: NPR, found that, Mr. Chen, failed to find a clear connection between COVID and raccoon-dogs, https://substackcdn.com/image/fetch/$s_!8Led!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F85e46d3a-c19e-407b-88b7-1d8ea1489df7_1190x503.png, Pekar 2022, Pipes 2021, says, 3, here, this video, https://substackcdn.com/image/fetch/$s_!8aU2!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F815fe32d-d7ea-401b-b3a2-d8cd25b52ee8_490x780.png, https://substackcdn.com/image/fetch/$s_!0Tm_!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd0492f69-7b7e-4611-9d76-64ef8d7f59d5_511x511.png, Will, Eric, agreed, 4, put out a report on the lab leak hypothesis, https://substackcdn.com/image/fetch/$s_!g7k2!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F37f1b493-b556-41ec-925e-03f9d8bc26cb_1456x849.webp, surveyed experts, see here, https://substackcdn.com/image/fetch/$s_!Zejl!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fe9c88e87-b6ca-4c6d-840e-24da726f50b7_975x365.png, https://substackcdn.com/image/fetch/$s_!T5rV!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F4983e2cd-4151-42de-9685-08037ef7a8e8_635x788.png
Space.com1 mentions across 1 issues

Space.com is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 25, 2021 and August 25, 2021. The archive places it in contexts such as "https://www.space.com/virgin-galactic-raises-space-ticket-price". It most often appears alongside AP News, Associated Press, Bitcoin.

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Carbon Costs Quantified
August 25, 2021 · Original source
39. https://www.theguardian.com/science/2021/jul/19/billionaires-space-tourism-environment-emissions , https://www.space.com/virgin-galactic-raises-space-ticket-price
Sparks 20201 mentions across 1 issues

Sparks 2020 is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 16, 2023 and August 16, 2023. The archive places it in contexts such as "we have Sparks 2020 , where 138 undergrads were asked to name three qualities that their ideal partner would have". It most often appears alongside Alice, Attack On Titan, Bali.

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In Defense Of Describable Dating Preferences
August 16, 2023 · Original source
So for example, we have Sparks 2020, where 138 undergrads were asked to name three qualities that their ideal partner would have. Then they sent them on blind dates, and asked them to rank their partner on various traits, as well as rank how interested they were in their partner. The researchers found that score on the subject’s supposedly-important preferences did no better at predicting the subject’s romantic interest than score on someone else’s supposedly-important preferences which the subject didn’t share.
Inline links: Sparks 2020
Spatiotemporal Trends In Human Semen Quality1 mentions across 1 issues

Spatiotemporal Trends In Human Semen Quality is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 17, 2023 and February 17, 2023. The archive places it in contexts such as "best source is Auger et al, Spatiotemporal Trends In Human Semen Quality". It most often appears alongside Alexandros Marinos, Auger, Auger et al.

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Declining Sperm Count: Much More Than You Wanted To Know
February 17, 2023 · Original source
But also, the data are very noisy. Some studies from 2005 show higher sperm counts than most studies from the 1970s. The biggest pre-1980 study shows sperm counts very similar to today’s. It looks like a lot depends on why these sperm count studies are so noisy, and how much we can trust their methodology. Here the best source is Auger et al, Spatiotemporal Trends In Human Semen Quality: Human sperm production is widely believed to be declining over time, but evidence from the scientific literature is less clear. Studies based on repeated cross-sectional data from a single centre have shown mixed results. Among the numerous retrospective studies conducted in a single centre, only some included homogeneous groups of men and appropriate methods, and most of them suggest a temporal decrease in human sperm production in the geographical areas considered. Conclusions reporting temporal trends in sperm production that came from existing retrospective multicentre studies based on individual semen data and those using means, medians or estimates of sperm production are questionable, owing to intrinsic limitations in the studies performed. Regardless of study design, studies on the percentage of motile or morphologically normal spermatozoa are still limited by the inherent variability in assessment. Overall, available data do not enable us to conclude that human semen quality is deteriorating worldwide or in the Western world, but that a trend is observed in some specific areas. Instead of comparing studies from all over the world, it might be safer to look at single-center studies, ie where a single hospital or lab has been recording sperm counts for decades, presumably using the same methods for the same population. The authors were able to find about seventy such studies. Unfortunately, they were pretty contradictory: With respect to trends in sperm concentration (or total sperm count when concentration was not determined), 57% of studies reported a decrease in sperm production over time . . . 29% of all studies reported no change and 12% indicated an increasing trend. Why such variable results? Here are some common confounders: Where are sperm samples coming from? Some people give samples because they are sperm donors, others because they are infertile and want to figure out why. Infertile men may be infertile because they have unusually low-quality sperm. If something changes the fertile/infertile balance among sperm sample givers, or changes when people start worrying about fertility enough to give sperm samples, then data will be confounded. Especially the rise of IVF during the period under study has increased the degree to which infertile men might give sperm samples.
Inline links: Spatiotemporal Trends In Human Semen Quality
Spectator1 mentions across 1 issues

Spectator is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 27, 2025 and February 27, 2025. The archive places it in contexts such as "Spectator: Could AI Lead To A Revival". It most often appears alongside /r/NootropicsDepot, @fae_dreams, @ObhishekSaha.

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Links For February 2025
February 27, 2025 · Original source
Source is CipherNews (h/t Stefan Schubert) apparently citing Climate Action Tracker, but I get the impression that this is just some people eyeballing the size of pledges and not any more sophisticated forecasting. I don’t know how to square this with the claims that such and such a thing (summer temperature, sea ice, etc) is much worse than anyone expected. 17: I don’t know anything about the Lucy Letby case, but all of my smart friends who have been right about this kind of thing before say she’s innocent. 18: A reader asks House of Strauss (edgy sports Substack) whether the vibe shift away from political correctness threatens the edgy Substack business model - as the power of orthodoxy declines, can you still get rich and famous as a brave anti-orthodoxy critic? His answer: nothing that can happen from here is as bad as the Twitter/X link deboost (which made attracting attention harder for everyone). I mostly agree: I think discoverability has suffered, people who are already famous will be able to stay famous without too much extra effort, and everyone else will have to explore new options. 19: Spectator: Could AI Lead To A Revival Of Decorative Beauty? Profiles Not Quite Past, a startup using AI and fancy printing to make customized Delft tiles. It’s a good idea and the tiles are very pretty, but the tiles are sort of a best possible case (a pretty, traditional object that can have a customized 2D image and be mass-printed). I think most forms of lost decorative beauty aren’t bottlenecked by ability to generate 2D images of the type image models are good at, and so will have to wait. 20: Some friends including Kelsey Piper wrote an emergency PEPFAR Report, collecting evidence for why PEPFAR is good/effective/important and deserves to be kept. Some key points: PEPFAR has saved between 7.5 and 30 million lives, at a cost between $1,500 and $10,000 per life saved. The US government is willing to spend at least a thousand times this much to save an American life.
Inline links: CipherNews, Stefan Schubert, Climate Action Tracker, the Lucy Letby case, His answer, Could AI Lead To A Revival Of Decorative Beauty?, Not Quite Past, PEPFAR Report
Spiked1 mentions across 1 issues

Spiked is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 18, 2025 and September 18, 2025. The archive places it in contexts such as "Sources: ... Spiked , WSJ". It most often appears alongside Babylon Bee, democracy, Donald Trump.

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Defining Defending Democracy: Contra The Election Winner Argument
September 18, 2025 · Original source
Sources: Babylon Bee (yes I know it’s satire; notice the direction), Spiked, WSJ, MacIver Institute The most common response is to say that fine, democracy is about who wins votes, but we also like liberalism, liberalism is under threat, it’s too hard to talk about “liberalism” because in the US it sometimes means being left-wing, and so we use the related concept “democracy” as a stand-in. This is reasonable, and some accused-democracy-destroyers like Viktor Orban even accept it for themselves, calling their brand of government “illiberal democracy”. But I think there’s an even stronger response that doesn’t require admitting to a bait-and-switch: democracy isn’t just about having an election. It’s about having more than one election. Imagine a system where the winner of a fair election gets unlimited authority during his term. What forces this person to ever hold another fair election? Why can’t he ban the media from reporting on his missteps? Or confiscate opposition parties’ treasuries? Or order the police to murder any candidate who runs against him? The preparations for the next election, and the election itself, occur while it is still his term; if he can do whatever he wants during his term, there is nothing guaranteeing a fair election besides his personal goodwill. When we adjust for this - when we consider how to accord a leader enough power to do anything except rig the next election in his favor - we find that this is such a hard problem that it already requires most of the checks, balances, and civil society that we call liberalism. For example, the simplest way to win an election is to murder opposing candidates. We cannot merely constitutionally ban the leader from murdering people; if the leader controls the judiciary, he can pack it with sympathetic judges who will find him innocent of murder even when he does it in broad daylight (for some reason, no Russian judge has ever convicted Vladmir Putin of any of the assassinations that so many Western sources are sure he committed). So in order to give teeth to even the most basic ban on murdering rival candidates, you need an independent judiciary. (and although having “unelected bureaucrats” sounds bad, it’s important that these people not be directly elected at exactly the same time as the leader, because if the same electorate that puts the leader in power puts the checks on the leader in power, they’re likely to come from the same party. In the US, we solve this in a variety of ways, especially by staggering appointments - some officials are appointed by the previous leader, or the one before that.) But an independent judiciary is useless if the leader can ignore it without penalty. And the penalty cannot be purely legal, because legal penalties are levied by a judiciary, ie the organ that such a leader is ignoring. So this penalty must bottom out in extra-legal consequences: either the public relations consequences of the populace realizing that their leader has become a dictator, or - in the worst-case scenario - the military realizing this and taking direct action. But these extra-legal consequences require a well-informed populace (or at least a well-informed military). Now we also need freedom of the press. And a token freedom of the press, only sufficient to print the single line “the leader has defied the judiciary”, won’t be enough. People need context: is there an emergency? Was the judiciary actually trying to overstep? Is this part of a pattern? Is the leader generally a bad enough actor that this should tip people over the edge to vote against him, or to protest him? Many people will be reluctant to protest if the economy is strong and the borders are peaceful; is the economy actually strong, and the border actually peaceful, or is this just state propaganda? Answering these questions requires a flourishing journalistic ecosystem, including investigative reporters. A well-informed populace is useless without the ability to act on its information. Consider what might happen in a flourishing democracy if a leader tried to fire all the election monitors and replace them with toadies who would stuff the ballot boxes in his favor. Someone at the election office notices and informs the media (this step goes better if you have whistleblower protections enshrined in law, which may require an independent legislature).
Inline links: Babylon Bee, Spiked, WSJ, MacIver Institute, “illiberal democracy”
Sports Illustrated1 mentions across 1 issues

Sports Illustrated is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 17, 2025 and January 17, 2025. The archive places it in contexts such as "appeared in Sports Illustrated at age 14". It most often appears alongside @tamaybes, @venturetwins, A16Z.

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Links For January 2025
January 17, 2025 · Original source
[He] was frequently bullied and beaten. In Oneida, Huang cleaned toilets everyday, learned to play table-tennis, joined the swimming team, and appeared in Sports Illustrated at age 14. He taught his illiterate roommate, a "17-year-old covered in tattoos and knife scars," how to read in exchange for being taught how to bench press. In 2002, Huang recalled that he remembered his life in Kentucky "more vividly than just about any other".
Spring and Autumn Annals1 mentions across 1 issues

Spring and Autumn Annals is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 01, 2023 and September 01, 2023. The archive places it in contexts such as "This is the world of the Spring and Autumn Annals"; "written for the Spring and Autumn Annals". It most often appears alongside 536 BC, ACX, Ai Jiang.

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Your Book Review: Zuozhuan
September 01, 2023 · Original source
This is the world of the Spring and Autumn Annals, and the Zuozhuan.
“Spring and Autumn Annals” is a bit of a redundant translation, since ”spring and autumn” was just an old way of saying “year,” and thus, “annals.” And technically, there were multiple Spring and Autumn Annals—every state kept, in addition to court and administrative documents, its own laconic record of each year’s wars, diplomacy, natural phenomena, major rites, and notable deaths. But the state of Lu’s is special, because Confucius was from Lu. He’s said to have personally edited and compiled the extant version of its 242-year-long Spring and Autumn, loading each character with weighty yet subtle moral deliberation. This ensured it a place in the Confucian canon, and its survival where every other state’s annals have been lost to time. The era that it covers is named the Spring and Autumn period after the text, not the other way around.
Who is Zhu Yifu? Who’s Duan? What’s all this about “overcoming”? Where does the moral deliberation come in? This canon badly needs meta, and the most notable of the ancient commentaries written for the Spring and Autumn Annals is the Zuozhuan. Ten times as long as the text it’s for, the Zuozhuan is the flesh on the Annals’ bare bones, one of the foundational works of ancient Chinese literature and history-writing in its own right.
spudsmart1 mentions across 1 issues

spudsmart is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 08, 2025 and August 08, 2025. The archive places it in contexts such as "https://spudsmart.com/spud-history-instant-mashed-potatoes/". It most often appears alongside Ainu, Altiplano, American cheese.

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spudsmart
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Your Review: My Father’s Instant Mashed Potatoes
August 08, 2025 · Original source
https://spudsmart.com/spud-history-instant-mashed-potatoes/
Inline links: https://spudsmart.com/spud-history-instant-mashed-potatoes/
SRTHMK1 mentions across 1 issues

SRTHMK is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 15, 2025 and May 15, 2025. The archive places it in contexts such as "Lenore Skenazy, gets profiled in SRTHMK"; "Wise words - in 2011, when SRTHMK was written"; "SRTHMK teaches us to challenge our fears". It most often appears alongside ACX survey, Amazon, Barbara Kingsolver.

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Book Review: Selfish Reasons To Have More Kids
May 15, 2025 · Original source
Still, being technically correct is cold comfort when the police disagree. Even if you can eventually win a court case, that takes a lot of resources - and who’s to say a different cop won’t nab you next time? To solve the problem, seven states (not including California) have passed “reasonable childhood independence” laws, which make it clear to policemen and everyone else that unsupervised play is okay. There is a whole “free range kids” movement (its founder, Lenore Skenazy, gets profiled in SRTHMK) trying to win this legal and cultural battle.
Inline links: have passed “reasonable childhood independence” laws
Wise words - in 2011, when SRTHMK was written. What about the age of TikTok and Instagram?
Can a 2011 book say anything about these dangers? Caplan still blogs; some of his more recent output addresses them more directly. But maybe his greater contribution is the way SRTHMK teaches us to challenge our fears. Are the dangers of today really worse than those of yesterday? Is some real-but-small chance of harm from insufficient caution really worse than the certainty of making ourselves and our kids miserable through excessive discipline? Can we really win a fight against the spirit of the age and our children’s genetic proclivities?
ACX1 mentions across 1 issues

SSC/ACX is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 23, 2021 and July 23, 2021. The archive places it in contexts such as "Congratulations to SSC/ACX reader and commenter Tom Chivers". It most often appears alongside Ace Attorney, Adam Smith, Amazon.

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Links For July
July 23, 2021 · Original source
6: Congratulations to SSC/ACX reader and commenter Tom Chivers, who recently won a British Science Journalist of the Year award. My own encounter with Tom was that he once wrote a book about the rationalist community, and asked to informally talk to me and my at-the-time girlfriend. My girlfriend was trying to decide whether or not she was ready to have children, so she got one of those robot babies that they use in school health classes to teach you how hard having an infant is. And she didn’t want to leave it alone or it would start crying and grade her as unready to be a mother. So she took it to the interview, and obviously Tom noticed it, and we had the fun task of convincing him that we were normal people who just happened to be carrying a robot baby around, for reasons that were totally unrelated to us being in something that we were trying to make clear to him was NOT a robot cult. He was very understanding and didn’t dwell on it too much in his book, which was very gracious of him. Anyway, you can read his science reporting here.
Inline links: British Science Journalist of the Year, a book about, here
SSRIs: Much More Than You Wanted To Know1 mentions across 1 issues

SSRIs: Much More Than You Wanted To Know is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 28, 2022 and December 28, 2022. The archive places it in contexts such as "A much-needed and preferable update to my old SSRIs: Much More Than You Wanted To Know post". It most often appears alongside 2C-B, 48: Bean, @AliceFromQueens.

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Links For December 2022
December 28, 2022 · Original source
20: Awais Aftab sums up the case in favor of antidepressants, with reference to the most common anti-SSRI arguments and why he doesn’t believe them. A much-needed and preferable update to my old SSRIs: Much More Than You Wanted To Know post. Strongest case against that I know of is still this one.
Inline links: sums up the case in favor of antidepressants, this one
Stacy 20161 mentions across 1 issues

Stacy 2016 is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 13, 2022 and April 13, 2022. The archive places it in contexts such as "Stacy 2016 finds a marginal effect on the border of significance in children". It most often appears alongside acetaminophen, ADHD, Arthur Jensen.

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Stacy 2016
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Obscure Pregnancy Interventions: Much More Than You Wanted To Know
April 13, 2022 · Original source
Stacy 2016 finds a marginal effect on the border of significance in children, comparing those who did vs. didn’t handle receipts in the past 24 hours, which is surprising since I would expect people to do a bad job self-reporting that.
Inline links: Stacy 2016
Stahl's1 mentions across 1 issues

Stahl's is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 16, 2022 and March 16, 2022. The archive places it in contexts such as "From Stahl's: 'the precipitous decline in circulating and presumably brain levels of allopregnanolone hypothetically trigger the onset of a major depressive episode in vulnerable women.'". It most often appears alongside 5α-reductase inhibitor, A Mindful Monkey, ALLO.

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Highlights From The Comments On Zulresso
March 16, 2022 · Original source
From Stahl's: 'the precipitous decline in circulating and presumably brain levels of allopregnanolone hypothetically trigger the onset of a major depressive episode in vulnerable women. Rapidly restoring neurosteroid levels over a 60-hour period rapidly reverses the depression, and the 60 hour period seems to provide the time necessary for postpartum patients to accommodate their lower levels'. So the idea is the taper of the steroid is a helpful part.
Also, (also Stahl's), there are two GABA-A receptors with comprosied of different sub-units as you mentioned. Benzodiazepines bind to, cleverly named, benzodiazepine-sensitive GABA-A receptors while allopregnalone bind to their cousins- the benzodiazepine-insensitive GABA-A receptor. The former is found post-synaptically and involved with phasic, quick bursts of GABA (i.e. useful information processing) while the latter is found extrasynaptically and involved with tonic (i.e. chronic) 'tone' setting of the neuron. So they seem to have very different functions despite both involving GABA.
Stahl's goes onto say that allopregnanlone 'hypothetically could cause more efficient information processing in over excited brain circuits causing symptoms of depression', but that just seems hand-wavy to me.
Stanford Social Innovation Review1 mentions across 1 issues

Stanford Social Innovation Review is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 18, 2025 and June 18, 2025. The archive places it in contexts such as "published articles in ... Stanford Social Innovation Review". It most often appears alongside 1DaySooner, Aatu Koskensilta, acanthamoeba keratitis.

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ACX Grants 1-3 Year Updates
June 18, 2025 · Original source
Codebuff, an AI coding startup I probably can’t take full credit for all of this just from giving them $20K in seed funding, but I continue to appreciate everything they do for this community and the world. 35: Further S’s Political Career This person didn’t win their election, but has since pivoted to AI safety and works in a well-regarded AI policy think tank. 36: Seeds Of Science, A Journal Of Non-Traditional Research No update received, but this was a public journal and it is easy to follow their work, see their website and Substack. They published two dozen articles of widely varying quality through 2023 and 2024, then closed in 2025. A remnant of the original vision survives as a science blogging aggregator. This was about my median expectation for this grant, but it was very inexpensive and I decided to take a chance on it anyway. 37: Good Science Project, Working To Improve Federal Science Funding No update received, but they have a public Substack discussing their progress. Their proposals for NIH reform have influenced Congress and made government agencies pay more attention to scientific integrity. 38: Advising Developing Countries On How To Grow Their Economies With our initial ACX grant, we piloted the Growth Teams model in Rwanda, helping the government jumpstart the export-oriented call center (BPO) industry. Since 2022, that effort has contributed to the creation of 2,000 formal jobs and the emergence of some of the country’s largest private employers. We’ve since expanded to Tanzania, Malawi, and the Indian states of Goa and Meghalaya. To refocus the global development discourse on broad-based economic growth, we co-organized the Growth Summit with the Center for Global Development and the Charter Cities Institute, and have published articles in leading outlets including Stanford Social Innovation Review, ProMarket, and the Global Prosperity Institute. Our work has attracted support from Open Philanthropy, Schmidt Futures, and Mulago Foundation, and our advisors now include economists Lant Pritchett, Stefan Dercon, and Kunal Sen. 39: Help Luca De Leo Get Started In AI Safety Research No update received, but Luca now runs the AI safety group at the University of Buenos Aires, Argentina. 40: Typist For Saharon Shelah This was another ACXG+ Grant, funded by an anonymous outside funder and not listed in the original announcement. Saharon is a prolific and influential Israeli mathematician, but many of his discoveries are hand-written in an unpublishable format. This grant funded a typist to help make his results suitable for publication. According to this page, they have made over fifty new papers and preprints available. Second Cohort: One Year Updates 41: Lead-Acid Battery Recycling In Nigeria The Nigeria field research was a major success. We spent most of September doing field research in multiple major cities in Nigeria, and got a good sense of the used lead-acid battery supply chain. This field research served as the foundation for expanding our project, and has been very impactful in shaping our ongoing research. We published our findings from Nigeria, which were shared with Nigerian government regulators and global NGOs working on lead poisoning. The grant also gave us the on-the-ground experience we needed to both fully understand and credibly engage with groups, both in Nigeria and globally, on the ULAB issue. In the meantime, beyond continued research, we’ve also launched a dashboard (trade.leadbatteries.org) for analyzing global lead trade data. Right now, we’re: Launching two studies (one RCT, one environmental analysis) in Nigeria in collaboration with local universities to develop a more rigorous understanding of lead pollution due to low-standard ULAB recycling in Nigeria Collaborating with a non-profit incubator to launch an NGO focused on demand-side solutions Beginning a partnership with a West African environmental regulator to scale cheap air monitoring technology to quickly identify and reduce lead pollution from low-standard smelting If any of this sounds interesting to you, please sign up for our Substack (leadbatteries.substack.com) or send us an email at hugosmith@uchicago.edu! 42: Compensation For Kidney Donors The End Kidney Deaths Act (H.R. 2687 / EKDA) is a groundbreaking ten-year pilot program designed to save lives and reduce healthcare costs. It provides a refundable tax credit of $10,000 per year for five years, a total of $50,000, to living kidney donors who donate to a stranger, helping those who’ve waited the longest on the transplant list. Between 2010 and 2021, 100,000 Americans died while qualified and waiting for a kidney. The EKDA aims to change that trajectory. Within ten years of its passage, up to 100,000 Americans could receive a life-saving living donor kidney which typically lasts twice as long as a deceased donor kidney. This would not only save lives but also save taxpayers up to $37 billion. The legislation has been reintroduced in the House, and we have a committed Republican Senate lead. Now, we need a Democratic Senator to co-lead and help move this bipartisan effort forward. Time is short, and we are racing to pass the bill this Congressional session. 36 organizations already support the EKDA. Join the movement and help end preventable kidney deaths. Visit EndKidneyDeaths.org to help us get to the finish line. Elaine and her org have been working extremely hard on this; you can read a Vox article on their campaign here. If you want to sign up for her email list and get updates any time there is a representative you can contact or meeting you can join in, go here. 43: Genetic Hack To Prevent Suffering In the estimate of multiple team members, the ACX grant was “worth it” - it likely had a counterfactual net positive impact, even though we had to pivot from our initial fast-track plans for developing the precision anti-suffering therapy. We identify three primary streams of value: a) reducing uncertainty in the emerging field through early exploratory research, helping with the identification of dead ends and promising R&D trajectories; b) a wide range of downstream effects (beyond the “raising awareness” cliché), including talent mobilization and rekindled interest in suffering abolitionism as a distinct cause area; and c) certain developments that cannot yet be publicly disclosed. In December 2024, Marcin Kowrygo (Acting CEO & volunteering contributor), David Pearce (Director of Bioethics), Aatu Koskensilta (President), and a few other team members decided to leave The Far Out Initiative. They look forward to collaborating and applying their experience to advance the suffering abolitionist lineage in the spirit of open science, public good, and thoughtfully decentralized governance. Feel free to reach out to us at suffab at protonmail dot com to discuss collaboration opportunities! I wrote a post profiling the Far Out Initiative here. Unfortunately there were some internal disagreements, and the people ACX Grants was closest to left the organization. I plan to continue to monitor whatever they do next. 44: Advocate For Pandemic Response Team At FDA This team prefers has asked me not to discuss their progress publicly, but you can probably guess what their lives are like right now, and your guess would be correct. 45: Anti-Mosquito Drones We developed a cheap sonar that is able to detect, track and classify the ultrasonic echoes of mosquito wings at more than three meters. I believe it’s a world first! We also have control algorithms that take the sonar data and output control commands that both ram into mosquitoes and avoid the walls of a simulated environment. Our current work is on integrating both components on a real drone, and we expect to be able to kill mosquitoes by June. We’ve also made an internal impact study (napkin-sized) that shows we’ll be more cost-effective than ITNs in urban to periurban environments. So, we’re super excited with what comes next and can’t wait to share the videos of our first interceptions! More information [in the video below] and on our website, https://tornyol.com 46: Tarbell Fellowship For AI Journalism No update received, but they have a public website. I can’t find the Voices program in particular, but the overall fellowship completed their first class of seven fellows and is working on their second. 47: Germicidal UV Lamp Study The research has successfully demonstrated the ability of off the shelf ozone scrubbers to mitigate the ozone production of far-UVC lamps, is now available as a preprint (https://chemrxiv.org/engage/chemrxiv/article-details/67e4cde76dde43c9084d88b7). The paper has been submitted for publication and is currently undergoing peer review. Any ideas you have for potential funders we can approach to help execute our six-year plan to accelerate far-UVC would be appreciated https://blueprintbiosecurity.org/introducing-project-air/ 48: Technological Solutions To Animal Welfare Challenges Directly because of Innovate Animal Ag's work, the first U.S. egg producer publicly announced in the New York Times their adoption of in-ovo sexing technology, eliminating the need to cull day-old male chicks. The initial in-ovo sexing machine began operating in the U.S. at the end of 2024, with the first eggs from these hens expected on shelves in mid-2025. External evaluations estimate our work accelerated U.S. adoption of this technology by over seven years, meaning that once fully implemented, more than 2 billion chicks will have been spared. In addition to continuing to support the rollout of in-ovo sexing in the US and globally, we're now exploring other technologies and paths to impact. Current promising projects include developing humane slaughter methods for fish and advocating for USDA approval of a poultry vaccine against bird flu. They add: If you ever meet folks that are interested animal welfare and are partial to more technocratic and practical solutions, please continue to pass them our way, or connect them directly to me. 49: Assurance Contract Website www.Spartacus.app is an ACX grantee that created a platform to help solve coordination and collective action problems. It enables the creation of campaigns that build critical mass through conditional commitments, which only activate when a sufficient number of people join, converting risk and uncertainty into a higher probability of successful outcomes. They are currently facilitating several projects that leverage conditional commitments, including a dominant assurance contract interface for fashion pop-ups, accelerating a community business association's membership drive, and helping an AI safety organization organize petitions and events, among others. They have pivoted from an emphasis on high-stakes coordination problems requiring anonymity (because they occur too infrequently) to a broader range of more common use cases and have successfully run small-scale campaigns, but are still working toward product-market fit. Despite resource constraints and split time commitments that have impeded faster progress, they remain dedicated to the project's growth and success. You can follow its progress on X or Substack, or email Jordan directly here. 50: Cause Prioritization @ Center For Exploratory Altruism Research Moderately good progress on a salt reduction policy advocacy project we funded; informal commitments have been made by the Ministry of Health, and we're awaiting the publication of a formal administrative order. The official description sounds maximally generic, but this is an EA charity with a broad mandate whose current thesis is that dietary guidelines in developing countries can have outsized effects in saving lives. They’re making some progress on a salt reduction campaign in a developing country they prefer not to name publicly. 51: Mark Webb Studying Land Reform The purpose of this project was to identify specific farmland that could be acquired and transferred to the farmers already working the land. This has been difficult to achieve. I have been able to connect with other charities and landless farmers, and was able to interview a number of people about what their situation looks like, as well as what it would look like to them personally if they owned, rather than rented, their farmland. All this was immensely helpful in pushing this long-term project forward, even if I was unable to identify a specific plot of land that could be used to try the experiment. I intend to continue this project. If you have any insights or connections, I am interested. 52: More AI Advocacy In Australia Good Ancestors is focused on AI safety policy in Australia. Middle powers might be a useful path to influence as the US and China focus on racing, rather than safety. The ACX grant helped us give testimony about AI safety to the Australian Senate alongside Google, Microsoft and Facebook (We were the only nonprofit to give oral evidence to the inquiry. We also engaged government on other AI-related issues, including cybersecurity, biosecurity, consumer law and automated decision making (https://www.goodancestors.org.au/ai-safety). We’re currently working to inform voters about where parties stand on AI safety for the election, ahead of engaging on a likely Australian AI Act in 2025 (https://www.australiansforaisafety.com.au/). This is the same Australian lobbying organization we founded in Year 1, after a change in name and leadership. I continue to be excited about AI safety in middle-tier countries for a few reasons. First, these countries have some power in international organizations to set international standards. Second, companies will usually comply with any not-excessively-burdensome regulation set by any country with a significant market. Third, AI safety is underfunded by the standard of government programs, so Australia setting up a national AI Safety Institute would significantly expand the field. It’s kind of crazy that ACX Grants tier levels of money can have significant effects at this scale, but GA continues to do a great job and we continue to be proud to support them. 53: Campus For African School Of Economics At Zanzibar Charter City The ACX grant helped launch the first research center at the African School of Economics-Zanzibar, which is a main anchor of the Fumba Town charter city project in Zanzibar. This research center is called the Africa Urban Lab (AUL), focused on rapid urbanization across Africa. The AUL launched its first Diploma program in Urban Development with 38 students in our first cohort (now graduated!), including mayors, and deputy mayor, a director of a national Ministry of urban development, and many others. We published our research framing papers for the AUL's research agenda. We raised funding to launch an Urban Expansion Program that's now selecting 15 African cities to support in implementing urban expansion planning on the urban periphery. We held two Public Talks by renowned cities scholars and practitioners. We received additional funding from Emergent Ventures and from the Templeton Foundation. And we've partnered with 8 universities across the region, and with one of these universities (Ardhi) we'll be working with them to update their urban planning and urban economics curriculum (amplifying AUL's impact beyond our own organization). A longer update from end of 2024 is here: https://www.aul.city/blog/reflecting-on-africa-urban-lab-s-inaugural-year-2024-highlights) 54: Online Training Program For Health Workers In Developing Countries To date, over 11,000 health workers in Nigeria have completed our course on basic, life-saving newborn care. ACX funding was catalytic for helping us secure government approvals and complete an evaluation of the impact of our training on health workers' clinical practices. The evaluation shows that birth attendants provide better birth care after taking the course. We fed the evaluation results into an updated model, which suggests the program is 24 times more cost-effective than direct cash transfers (a widely recognized benchmark for cost-effectiveness). The program is likely to become even more cost-effective as we scale up. https://healthlearn.org/blog/updated-impact-model 55: Smartphone Pupillometry To Diagnose Neurological Conditions We have continued to expand our work in the smartphone pupillometry space and the development of our application, PupilScreen (https://www.apertur.ai/). We have expanded our pilot/research program to include new sites across the United States (Missouri, New Jersey, Kentucky, USAC racing, PitFit driver performance training in Indiana) and the world (Nepal, Taiwan, South Africa). We continue to publish at the leading edge of the pupillometry literature as well looking at concussion (https://neuro.jmir.org/2024/1/e58398 and https://pubmed.ncbi.nlm.nih.gov/39682632/), cerebral vasospasm (https://pubmed.ncbi.nlm.nih.gov/39128501/), and stroke (https://pubmed.ncbi.nlm.nih.gov/39674431/ and https://pubmed.ncbi.nlm.nih.gov/39561861/). Currently, we are raising a $3 million seed round via a SAFE to fund the expansion of our work into the hands of healthcare workers and the general public. We will first focus on traumatic brain injury for clinical use and develop a neuro-monitoring wellness application utilizing our technology for the general public. They add: “We would welcome connections to anyone that you think might be interested in supporting our work further by investing in our $3M seed round of funding.” 56: Mike Saint-Antoine’s Biology Tutorial Videos Since getting the grant, I've continued to make Youtube tutorials as planned. One series that I'm especially proud of is about how to make a neural network in the Julia programming language completely from scratch, with no imports, up to the point of being able to solve MNIST (https://www.youtube.com/playlist?list=PLWVKUEZ25V97tNULapu07DhWv6_W4NfpE). Also, a college student in Pakistan came across my videos and invited me to give a virtual Zoom-lecture to her department, so I ended up teaching a 6-hour "Python-for-Biologists" workshop to more than a hundred college students in Pakistan over Zoom. So that was pretty awesome. Also, lately I've been teaching some in-person classes too, mostly at Fractal University in NYC, and I also recently organized a day-long, in-person Beginner Python class for people in my local area (Philly suburbs) who wanted to learn some basic programming. I'm having a lot of fun with this project, and am grateful to Scott and the grant funders for their generosity! 57: Conceptual Boundaries Workshop On AI Safety The workshop was completed successfully; you can read a writeup here. 58: Apart Research To Incubate AI Safety Scientists No update received, but they have a public website, and you can see their impact metrics here. They seem to be in urgent need of more funding. 59: Primer On How To Achieve Political Change No update received and I can’t find anything about this. 60: Research IVF Clinic Success Rates We've built a predictive model that estimates the odds of having a child at different IVF clinics across the country while controlling for factors like patient age and infertility differences that can falsely make some clinics look better than others. We found that an average patient can increase their odds of having a kid by 43% just by going to a top 10% clinic. Patients unlucky enough to go to a bottom 10% clinic will reduce their odds of having a kid by 40%. Next month, we're adding several more clinics, 2023 data, additional procedural controls, and donor/gestational carrier models, which should push our accuracy beyond state-of-the-art models in this space and better isolate clinic impact on patient outcomes. We've launched ivf.clinic, a website where patients can access personalized IVF reports and browse our clinic rankings (though we're still squashing some bugs). Currently, we're expanding our research to include comprehensive insurance coverage and pricing data across clinics nationwide. If anyone has insights on automating the collection of IVF clinic pricing information, I'd love to hear from you at scelarek@gmail.com. 61: Replicate Study On Brain Wave Synchronization For Speeding Learning We have acquired and configured the OpenBCI UltraCortex Mark IV 8-channel EEG headset and a clinical-grade Biosemi 32-channel EEG system. We’ve implemented the required components for the experimental pipeline (computing alpha from EEG, flashing bright white light, presenting stimulus images). We are currently putting them together into a single system that we’ll use to collect the data from several participants. We are aiming to gather data on several participants in late June / early July and complete the pilot of the replication in July 2025. If you’d like to be a participant in the study, [they might announce a link once they have it]. 62: Advocate Repeal Of Interstate Runaway Compact No update received and I can’t find anything about this. 63: Animal Welfare (Especially Fish) In Turkiye Future For Fish asks companies to sign up to FFF's fish welfare commitment, which requires producers to certify their facilities and enforce specific standards for stocking density and harvest. Luckyfish, İlknak, Divan (35 restaurants, 17 hotels) and NG Hotels (5 hotels) have signed and published FFF's fish welfare commitment with İlknak publishing the commitment on their website. Kılıç published its first sustainability report detailing fish welfare policies, including enforcing a maximum stocking density of 10 kg/m³ and confirmation of electrical stunning practices. Longer version with some caveats: https://manifund.org/projects/improving-fish-w From the longer document, these commitments involve things like reducing overcrowding, or stunning fish before killing them. Over 30 million fish were affected just from their single largest commitment, and they say 100 fish are helped per dollar spent. 64: More Georgism Advocacy Lars and Will used the 2021 grant to co-found ValueBase. Will remained with the company, and Lars left to do advocacy work at the Center For Land Economics. Here’s their summary of how things are going: [Our] organization transitioned leadership with Greg Miller, a former Program Analyst at the US Department of Housing and Urban Development, and Lars Doucet, author of Land is A Big Deal and Co-Founder of Valuebase, working full time and Joe Caissie stepping aside. This transition happened naturally as the next career transition for each respective person. Since then, progress has been made on pushing forward legislation. Maryland had two bills introduced to give Baltimore and counties the ability to enact split-rate taxes. One of the bills passed the state senate and would allow Baltimore to enact land value taxes within one mile of rail corridors–this contains 50% of Baltimore’s land value. However, the legislative session ended. We expect the bill to revive next session. The Center for Land Economics has been actively working to help efforts to get this bill passed the line. At the same time, we have uncovered systematic undervaluing of vacant land in assessments. We are writing a report on the assessment issues in Maryland with actionable steps to resolve them.
Inline links: Codebuff, website, Substack, survives, a public Substack, in Rwanda, Growth Summit, Stanford Social Innovation Review, ProMarket, Global Prosperity Institute, Saharon, this page, eadbatteries.substack.com, here, here, a post profiling the Far Out Initiative here, https://tornyol.com, a public website, https://chemrxiv.org/engage/chemrxiv/article-details/67e4cde76dde43c9084d88b7, https://blueprintbiosecurity.org/introducing-project-air/, our way, connect them directly to me, www.Spartacus.app, X, Substack, here, https://www.goodancestors.org.au/ai-safety, https://www.australiansforaisafety.com.au/, https://www.aul.city/blog/reflecting-on-africa-urban-lab-s-inaugural-year-2024-highlights, https://healthlearn.org/blog/updated-impact-model, https://www.youtube.com/playlist?list=PLWVKUEZ25V97tNULapu07DhWv6_W4NfpE, here, public website, here, in urgent need, https://manifund.org/projects/improving-fish-w
Stat News1 mentions across 1 issues

Stat News is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 01, 2023 and February 01, 2023. The archive places it in contexts such as "giving a link to a Stat News article about synthetic control groups"; "I therefore pointed to stat news to support my case". It most often appears alongside 2006 Ioannidis paper, ACTIV-6, Alexandros.

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Stat News
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1
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1
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February 01, 2023
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February 01, 2023
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Response To Alexandros Contra Me On Ivermectin
February 01, 2023 · Original source
“Synthetic control groups” - ie comparing people in a trial to some previously-known understanding of how a disease progresses - are a standard practice, and basically fine. Borody et al indeed have had amazing careers with many things they can be proud of. But I continue to believe that this paper is not among them. Synthetic control groups are more common in social sciences, but have occasionally been used in pharmacology when it would be unethical or extremely difficult to use a real control group. The most common use case is rare cancers, where it takes years to get enough patients to test a drug and it also seems kind of unethical to delay. Another good thing about rare cancers is that they're pretty discrete; you don't have to worry about things like "well, 90% of leukemias never make it to a doctor anyway, so maybe we're only seeing the serious leukemias" or "these guys counted the leukemias that get dealt with by the local doctors' office, but those other guys counted the leukemias that have to go to the hospital". More important, studies with synthetic control groups usually go above and beyond to justify why their synthetic control group should be a fair comparison to the treatment group. Here's an example, from a paper about a rare leukemia. They start by getting a synthetic control group from a previous randomized controlled trial of leukemia drugs (not the general population!) Then they throw out more than half their patients for not being a good match for the selection criteria of the current study. Then they investigate whether there are significant differences on five important demographic factors, and find a few. Then they re-weight the patients in the historical comaprator study to adjust out the differences between the previous population and the current population. Then they do some analyses to check if they re-weighted everything correctly. Then they apologize profusely for having to use this vastly inferior methodology at all: In special cases when a disease is rare, prognosis is very poor, and there are limited therapeutic options available, single-arm clinical trials may be used as evidence for accelerated drug approvals. Comprehensive evaluation of historical comparator or reference data can provide an additional approach for putting the efficacy of a new therapy into perspective.11, 12 In this study, we applied different statistical methods and sensitivity analyses to evaluate the clinical efficacy of blinatumomab against historical data. Concerns often raised regarding the use of historical comparator data are the influence of potential biases related to selection, misclassification and confounding.12 The requirement of rigorous eligibility criteria in the blinatumomab clinical study—such as Eastern Cooperative Oncology Group status of two or lower and absence of abnormal lab values during screening—may increase the chance of better outcomes in the clinical study than the historical data. While it may be possible to use unadjusted historical data when patient populations are sufficiently similar,27 the disproportionate number of advanced-stage patients in the blinatumomab trial required methods applied to individual-level data to minimize bias. Selection bias was minimized by use of stringent inclusion criteria into the historical data set and by weighting or adjusting for known prognostic factors. In addition, the historical data set represented adult R/R patients who received standard of care (excluding palliative care patients where possible), without any restrictions to any patient subgroups. Residual confounding may still remain and be difficult to control for, particularly in data sets where differences in important prognostic factors are unknown or not measured in one data set. In this study, nearly all known important prognostic factors were adjusted for in the weighted or propensity score analyses. Missing data on key covariates lead to exclusion of some records from the analyses (Figure 1), which may theoretically bias the overall results. However, our examination of records with missing covariates did not identify significant differences by patient demographic characteristics compared with patients who had complete data (data not shown). Misclassification bias was limited by harmonization of patient-level data in the pooled analysis, which employed common data definitions for disease classification and outcomes characterization. Compare this to how the Borody study discusses its synthetic control group: The control data was from contemporary infected subjects in Australia obtained from published Covid Tracking Data. I hesitate to say “they didn’t even say which tracking data”, because in the past I’ve said things like that and just missed it. But I can’t find them saying which tracking data. In Borody et al’s synthetic control group, 70/600 (11.5%) patients required hospitalization. But the US hospitalization rate appears to be about 1% for unvaccinated individuals. So Borody’s synthetic control group got 10x the expected hospitalization rate. This seems very relevant to this study finding that ivermectin decreases hospitalization by 90%! I’m not claiming this is fraudulent, or impossible, or means the study couldn’t have been good. And Borody claim to have used an “equivalent” control group, so maybe there was some adjustment done for this. But this is why we usually use more than one word to describe our control groups! Or use real control groups that don’t ruin your study if you do a finicky adjustment slightly wrong! I feel like these are the kinds of questions Alexandros needs to be asking, instead of just giving a link to a Stat News article about how sometimes synthetic control groups are okay. Also other questions, like “how come this found a 90% decrease in hospitalization and mortality, but lots of other studies found smaller decreases, and the biggest and best studies found none at all?” I know Alexandros’ answers are to find lots of flaws with the biggest and best studies, but these flaws wouldn’t be enough to cover up a 90% cure rate. And if you’re in the business of calling out flaws in studies I genuinely think having your control group be “we used some group of people somewhere in Australia, they had 10x the normal hospitalization rate, we won’t tell you anything else” would be the sort of flaw you would call out! Thomas Borody is a genuinely brilliant gastroenterologist and I am very grateful for his life-saving discoveries. But Elon Musk is a genuinely brilliant engineer and I am very grateful for his low-cost reusable rockets - and this doesn’t mean he never does crazy inexplicable things. Maybe Borody and his collaborators have a point from this study, but I don’t feel like it makes sense as written. If they ever explain what they were doing in more detail and it’s some sort of amazing 4D-chess move that makes total sense, I will apologize to them. Otherwise, stick to inventing amazing life-saving digestive therapies. In response to this section, Alexandros stresses that he is not necessarily saying Borody et al is incorrect or challenging my decision to leave it out. He writes: I will repeat that my strong objection, is that you wrote " this is not how you control group, @#!% you". I therefore pointed to stat news to support my case that, yes, this can indeed be how you control group. That's all. In the article I even noted that this aversion towards disrespect to elders may even be a cultural difference between us. To be clear, if I were making a case for ivermectin, I would not be relying on this study as my starting point. III. Hokey Meta-Analysis Alexandros points out that I used the wrong statistical test when analyzing the overall picture gleaned from this studies. He’s right. The right statistical test would make ivermectin look stronger, without changing the sign of the conclusion. After getting a core group of potentially trustworthy studies, I tried to see whether ivermectin still had a statistically significant positive effect in them. I tried to be honest that I didn’t really know how to do formal meta-analyses: 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 . . . What happens if I unprincipledly pick whatever I think the most reasonable outcome to use from each study is? . . . Now it’s p = 0.04, seemingly significant I in fact could not do simple summary statistics to this. Alexandros describes the test I should have used, a DerSimonian-Laird test, and applies it to the same data. Now the numbers are p = 0.03 and p < 0.0001. I accept that I was wrong, he is right, and this is more accurate. My original conclusion to this section is that although you couldn’t be absolutely sure from the numbers, eyeballing things it definitely looked like ivermectin had an effect. I then went on to try to explain that effect. With Marinos’ corrections, you can be sure from the numbers, but the rest of the post - an attempt to explain the effect - still stands. IV. Worms Alexandros brings up issues with the Strongyloides hypothesis; Dr. Bitterman graciously responds. I find the issues real enough to lower my credence in the idea, but not to completely rule it out. Even if it is true, I probably overestimated how important it was. My original explanation for the effect was Dr. Avi Bitterman’s theory of Strongyloides hyperinfection. Many people in certain tropical regions are infected with the parasitic worm Strongyloides. Usually a person’s immune system keeps this worm under control, and the parasites cause only limited problems. But under certain situations - especially when people take immune-suppressing corticosteroids - the immune system fails, the worms multiply, and the patient can potentially die of sudden worm overgrowth (“hyperinfection”). Corticosteroids are a common COVID treatment. So plausibly some people in tropical areas fighting COVID are at risk of dying from worm hyperinfection. Ivermectin was originally an anti-parasitic-worm medication before being repurposed to fight COVID, and everyone agrees it is very good at this. So if many people in COVID trials are dying of worm infections, then ivermectin could help them. This would look like ivermectin reducing mortality in COVID trials, and make people wrongly conclude that ivermectin treats COVID. Alexandros responds to this theory here, again I’ll try to summarize: The original Bitterman paper concludes that ivermectin trials show stronger results in high-Strongyloides-prevalence regions. But it mixes prevalence data from two different papers with different methodologies. Correcting for this, the findings no longer clear a formal bar for statistical significance, and don’t really look significant either.
Inline links: are a standard practice, Here's an example, 11, 12, 27, Figure 1, about 1% for unvaccinated individuals, here
Gideon Meyerowitz-Katz is not a fan. He notes that the study excluded people with high viral load, but the preregistration didn’t say they would do that. Looking more closely, he finds they did that because, if you included these people, the study got no positive results. So probably they did the study, found no positive results, re-ran it with various subsets of patients until they did get a positive result, and then claimed to have “excluded” patients who weren’t in the subset that worked.
Inline links: is not a fan, the preregistration
Gideon (correctly) phrased this as a non-sinister albeit potentially weird misstep by the study authors, but in trying to summarize Gideon, I (incorrectly) phrased it as a sinister attempt to inflate results. After looking into it, I think Alexandros is completely right and I was completely wrong. Although I sometimes get details wrong, this one was especially disappointing because I incorrectly tarnished the reputation of Biber et al and implicitly accused them of bad scientific practices, which they were not doing. I believed I was relaying an accusation by Gideon (who I trust), but I was wrong and he was not accusing them of that. I apologize to Biber et al, my readers, and everyone else involved in this. My only reservation is that I don’t want to say too strongly that Gideon’s critique is wrong: I haven’t looked through the study documents enough to say with certainty that Alexandros’ reanalysis of the protocol issues is correct (though the superficial check I’ve done looks that way). But my mistakes are completely separate from anything Gideon did and definitely real and egregious. Cadegiani et al (Alexandros 50% right) Flavio Cadegiani did several studies on ivermectin in Brazil; I edited this section in response to criticism by Marinos and others, but the earliest version I can find on archive.is (I can’t guarantee it was the first I wrote) said: A crazy person decided to put his patients on every weird medication he could think of, and 585 subjects ended up on a combination of ivermectin, hydroxychloroquine, azithromycin, and nitazoxanide, with dutasteride and spironolactone "optionally offered" and vitamin D, vitamin C, zinc, apixaban, rivaraxoban, enoxaparin, and glucocorticoids "added according to clinical judgment". There was no control group, but the author helpfully designated some random patients in his area as a sort-of-control, and then synthetically generated a second control group based on “a precise estimative based on a thorough and structured review of articles indexed in PubMed and MEDLINE and statements by official government agencies and specific medical societies”. Patients in the experimental group were twice as likely to recover (p < 0.0001), had negative PCR after 14 vs. 21 days, and had 0 vs. 27 hospitalizations. Speaking of low p-values, some people did fraud-detection tests on another of Cadegiani’s COVID-19 studies and got values like p < 8.24E-11 in favor of it being fraudulent. Also in Cadegiani news: he apparently has the record for completing one of the fastest PhDs in Brazilian history (7 months), he was involved in a weird scandal where the Brazilian government tried to create a COVID recommendation app but it just recommended ivermectin to everybody regardless of what input it got, and he describes himself as: …the only author of the sole book in Overtraining Syndrome, the prevailing sport-related disease among amateur and professional athletes. He is also responsible for approximately 70% of the articles published in the field in the world in the last 05 years, and reviewer for more than 90% of the manuscripts in the field. And, uh, he’s also studied whether ultra-high-dose antiandrogens treated COVID, and found that they did, cutting mortality by 92% . Which sounds great, except that it looks like most of this is that the control group had a shockingly high mortality rate, much higher than makes sense even in the context of severe COVID. I think the charitable explanation here is that he made this data up too. But the Brazilian Parliament seems to be going with an uncharitable explanation, seeing as they have recommended that Cadegiani be charged with crimes against humanity. Anyway, let’s not base anything important on the results of this study. You can find Alexandros’ full critique here, but again I’ll try to summarize it as best I can. Alexandros is unhappy with my portrayal of Cadegiani’s background. I cite details that make him look strange and maybe fake, but there are other details that make him seem more impressive, like that he won gold medals at a Brazilian Scientific Olympiad.
Inline links: the earliest version I can find on archive.is, involved in a weird scandal, describes himself as, recommended that Cadegiani be charged with crimes against humanity, here
State Development Planning: Did It Produce An East Asian Economic Miracle?1 mentions across 1 issues

State Development Planning: Did It Produce An East Asian Economic Miracle? is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 28, 2021 and June 28, 2021. The archive places it in contexts such as "One basic version appears in State Development Planning: Did It Produce An East Asian Economic Miracle?". It most often appears alongside Alexander Hamilton, America, ASEAN.

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Book Review: How Asia Works
June 28, 2021 · Original source
One basic version appears in State Development Planning: Did It Produce An East Asian Economic Miracle?. The author gives some theoretical reasons why planning can't work, points out some serious mistakes made by planning boards, and notes that in 1970, Japan was considered the 7th freest economy in the world, Taiwan the 16th freest, and South Korea #31, which is still pretty good. Also, Hong Kong was #1, had very little state planning, and still did great. He argues that this is a standard free market success story, and that state planning mostly made things worse but luckily not worse enough to prevent a miracle.
Inline links: State Development Planning: Did It Produce An East Asian Economic Miracle?
Statista1 mentions across 1 issues

Statista is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 25, 2021 and August 25, 2021. The archive places it in contexts such as "https://www.statista.com/statistics/531531/carbon-emissions-worldwide-walmart/". It most often appears alongside AP News, Associated Press, Bitcoin.

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Statista
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August 25, 2021
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August 25, 2021
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Carbon Costs Quantified
August 25, 2021 · Original source
13. https://www.statista.com/statistics/531531/carbon-emissions-worldwide-walmart/, https://corporate.walmart.com/our-story/our-locations. Divide ~20 million tons per year by ~10,000 stores.
Status 4511 mentions across 1 issues

Status 451 is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 04, 2021 and May 04, 2021. The archive places it in contexts such as "Status 451 had a great post about the 1970s as lacuna in cultural memory". It most often appears alongside 2008, 9/11 attacks, A Brief History Of Neoliberalism.

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Status 451
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Book Review: A Brief History Of Neoliberalism
May 04, 2021 · Original source
Status 451 had a great post about the 1970s as lacuna in cultural memory - we don't remember how bad it was. Their focus was violence and terrorism - "people have completely forgotten that in 1972 we had over nineteen hundred domestic bombings in the United States", including attacks on the Capitol and Pentagon. "A Puerto Rican group bombed two theaters in the Bronx, injuring eleven, in 1970; NYT gave it 6 paragraphs".
Inline links: a great post about the 1970s as lacuna in cultural memory
status451.com1 mentions across 1 issues

status451.com is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 11, 2023 and August 11, 2023. The archive places it in contexts such as "A summary of this is here: https://status451.com/2017/01/20/days-of-rage/". It most often appears alongside 1993 Russian constitutional crisis, 2011 parliamentary election, 2011-2014 protests.

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status451.com
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August 11, 2023
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Highlights From The Comments On Putin
August 11, 2023 · Original source
A summary of this is here: https://status451.com/2017/01/20/days-of-rage/
Inline links: https://status451.com/2017/01/20/days-of-rage/
Steady1 mentions across 1 issues

Steady is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 29, 2022 and September 29, 2022. The archive places it in contexts such as "Political Substacks tend to have names ... “Steady”". It most often appears alongside 1 Kings 10-11, 2008 Democratic National Convention, Adam Scheffer.

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Steady
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September 29, 2022
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Universe-Hopping Through Substack
September 29, 2022 · Original source
Political Substacks tend to have names that suggest stability - “The Bulwark”, “North Star”, “Steady” - or reasonableness - “Common Sense”, “Civil Discourse”, “Lucid”. They all have taglines like “Just the news, the way it should be, without the craziness and partisan bias”. Their articles are all things like “WATCH how the FASCIST ultra-MAGA Republicans ABUSE women and CHILDREN because THE CRUELTY IS THE POINT!!!”
Inline links: The Bulwark, North Star, Common Sense, Civil Discourse, Lucid
Stop Paying Attention To The Marvel Cinematic Universe1 mentions across 1 issues

Stop Paying Attention To The Marvel Cinematic Universe is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 18, 2024 and April 18, 2024. The archive places it in contexts such as "Our only regret is that we’re not as popular... working on launching a new spinoff, Stop Paying Attention To The Marvel Cinematic Universe"; "launching a new spinoff, Stop Paying Attention To The Marvel Cinematic Universe". It most often appears alongside Africa, AI Circle, Bay Area.

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April 18, 2024
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April 18, 2024
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Ye Olde Bay Area House Party
April 18, 2024 · Original source
“Oh yeah,” he says. “We’re the third-best-selling women’s magazine in the United States at this point. Our only regret is that we’re not as popular with the male demographic. That’s why we’re working on launching a new spinoff, Stop Paying Attention To The Marvel Cinematic Universe. We just signed our first big contract; Freddie de Boer will be writing 600 articles for us over the next three years.”
Stop Talking About Taylor Swift Magazine1 mentions across 1 issues

Stop Talking About Taylor Swift Magazine is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 18, 2024 and April 18, 2024. The archive places it in contexts such as "I work for Stop Talking About Taylor Swift Magazine". It most often appears alongside Africa, AI Circle, Bay Area.

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Ye Olde Bay Area House Party
April 18, 2024 · Original source
“I work for Stop Talking About Taylor Swift Magazine,” says a man in his mid-twenties. “It’s the #1 publication for people who want to stop hearing about Taylor Swift all the time. We carry monthly features on why Taylor’s music, schedule, personal life, and wardrobe are all less important than other things and don’t deserve the level of attention they’ve been getting.”
Stop Twisting Yourself Into Knots About QTc1 mentions across 1 issues

Stop Twisting Yourself Into Knots About QTc is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 29, 2024 and February 29, 2024. The archive places it in contexts such as "I especially liked Stop Twisting Yourself Into Knots About QTc". It most often appears alongside @BoyanSlat, @eigenrobot, @JackTindale.

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Links For February 2024
February 29, 2024 · Original source
At first I thought this was the actual house Jesus grew up in and thought “oh, no wonder he turned out that way”. But in fact it’s the “marble screen” placed around the house for protection. 3: A surprising puzzle from @finmoorhouse: “Imagine you begin a journey in Seattle WA, facing exactly due east. Then start traveling forward, in a straight line along the Earth's surface. You will travel across North America, and onto the Atlantic Ocean. Eventually, you will hit another country. What is the first country you hit?” Answer here. 4: Polypharmacy blog has some good psychiatry content. I especially liked Stop Twisting Yourself Into Knots About QTc, which is one of those things lots of people know but which takes bravery (and a lot of tough scholarship to justify your controversial position) to say. I would add Outcomes of Citalopram Dosage Risk Mitigation in a Veteran Population to the pile of evidence. 5: Yawboadu on the Ethiopian economic miracle. In 2002, Ethiopia was the poorest country in Africa, but since then it's grown at 9%/year for twenty years, even as the rest of the continent languishes. Yaw tells a familiar story; Ethiopia was taken over by communists in the 70s, they caused mass starvation, but after they were overthrown the country shot up the development ladder. We can add them to the list of other successful ex-communist or liberalized-communist countries like Poland, China, and Vietnam. What’s the common factor? Plausibly land reform. The communists redistributed the land, this didn't help when the country was still under communism, but liberalized economy + land reform is the secret combination. In support of this, Yaw says that "Ethiopia's rapid growth in comparison to many African nations is attributed to a significant increase in agricultural productivity". Ethiopia did other things right, but the land reform seems like the one that separates it from every other lower-income country trying to get on the development ladder. 6: It’s Okay To Want Your Children To Be Healthy Even If The World Falls Apart - BPodgursky’s defense of polygenic selection. This is a response to the people saying polygenic selection is bad, because we should instead make parents have children with diseases, then treat the diseases with medication. BPodgursky’s counterargument is that this goes badly if the economy collapses and medications become less accessible. This is surely true, but seems like only a very weak argument compared to “why should we force people to stay dependent on expensive, inconvenient, and side-effect medication when we can just not do this?” I’m honestly weirded out that we have to make this argument at all; still, it seems like we do, and BPodgursky does a good job. 7: Related: Awais Aftab has a new post about polygenic screening and how likely it is to perform up to its advertised standard in reducing schizophrenia risk. My response here. 8: @literalbanana’s take on recent plagiarism scandals - plagiarism isn’t that important on its own, but “since copy-pasting is already against the rules, and is highly legible and verifiable, it seems like a relatively easy thing to enforce to get rid of the laziest and/or most incompetent >1% of the literature and the field.” 9: @BoyanSlat reads “every page of OurWorldInData” and lists his favorite discoveries, including: Almost all countries in Africa have higher death rates from obesity than in Western Europe and the USA
Inline links: Answer here, Stop Twisting Yourself Into Knots About QTc, Outcomes of Citalopram Dosage Risk Mitigation in a Veteran Population, Yawboadu on the Ethiopian economic miracle, It’s Okay To Want Your Children To Be Healthy Even If The World Falls Apart, a new post about polygenic screening, here, @literalbanana’s take on recent plagiarism scandals, lists his favorite discoveries
Strange Tales1 mentions across 1 issues

Strange Tales is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 16, 2024 and August 16, 2024. The archive places it in contexts such as "Strange Tales"; "Lee used the back half of Strange Tales to introduce Dr Strange". It most often appears alongside 20th Century Fox, Abomination, Abomination.

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Strange Tales
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August 16, 2024
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August 16, 2024
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Your Book Review: Silver Age Marvel Comics
August 16, 2024 · Original source
Strange Tales
If it says Superhero on the tin, it must be a superhero inside the tin In July 1963 Lee used the back half of Strange Tales to introduce Dr Strange. It seems likely that Dr Strange’s story was originally just a stand-alone fantasy like the others that were in the back pages of the title. Strange didn’t even appear on the cover of the issue. But just as the scientist Hank Pym was later turned into the superhero Ant Man, Dr Strange was eventually converted from a dark wizard into a super-wizard. Throughout 1962 all of the Marvel stories titles were stand-alone. When the Hulk appeared in the Fantastic Four it was because Johnny was reading the Hulk comic book. There was no hint that they all existed within the same universe. That changed in December 1962. The Hulk comic was struggling to attract readers, so Lee decided to cross-promote him in the Fantastic Four as a real hero (villain? anti-hero?) who the Thing could do battle with. Fantastic Four #12 (December 1962) was the first step to building a shared universe. The issue sold well, but it was not enough to save the Hulk, whose title was canceled a few months later in March 1963 (Incredible Hulk #6). But the idea of cross promotion stayed with Lee. When Spider-man launched his own title in March 1963, Lee pulled no punches. Amazing Spider-man #1 included two stories, but the cover story had Spider-man applying for membership with the Fantastic Four. The two most popular heroes were together and interacting. It was a huge debut and broke more records (allegedly. Actual records from this era are very spotty. Most sales numbers and “records” are based on memories and anecdotes told by those involved years later. But it was clear the issue sold a lot of copies). By early 1963 it was established that the Fantastic Four, the Hulk and Spider-man all existed together within the same shared universe. But what about Ant Man,Thor and Iron Man? Aside #5: The Hulk comic in Fantastic Four #5 pretty clearly establishes that the Hulk was a fictional character in the Fantastic Four world, but there are other clues that Lee was not thinking about his characters as existing and crossing over in the early days. Both Bruce Banner (the Hulk) and Mr Fantastic fight off global alien invasions in their early issues. In both cases the stories make clear that only Bruce/Reed is smart enough to save the world. No mention is made of the OTHER scientist who saved the world from the alien invasion a few months earlier. Bringing different superheroes from their own titles together was not an idea created by Atlas/Marvel and Lee. That was likely All Star Comics #3 (December 1940) when writer Gardner Fox brought together all the major DC heroes who were not staring in their own independent titles, including Green Lantern, the Flash and Doctor Fate, to create the Justice Society of America (JSA). Batman and Superman cameoed in All Star Comics #7, but generally they were considered too popular to dilute their appearances in ensemble titles. That changed in March 1960 when DC re-launched the idea of a superteam with the Justice League of America and included all of their most popular heroes as the leads – Superman, Batman and Wonder Woman. It was immediately a top seller. The launch of JLA is likely what caused the owner of Atlas to ask Lee to create a ”superhero team comic”. Lee did not have a stable of heroes to bring together, so he had to create something entirely new – The Fantastic Four. But now that Lee DID have a collection of his own heroes AND he had the greenlight to create straightforward superhero comics, he decided to build himself his own JLA. In September 1963 Atlas published two new titles: The Avengers and the X-men. The X-men were a brand new team of all new heroes, but the Avengers were a close parallel to the Justice League. Lee took his existing collection of heroes (except the Fantastic Four and Spider-man) and created an excuse for a team-up. In the issue they individually battle Thor’s brother Loki before coming together to defeat him as a team. They decide that given they all have different powers, they should work together to be unstoppable. The entire formation of the team takes only four panels and is a little corny, but it does its job: While the Avengers were a clear copy of the Justice League, Stan Lee put his own spin on it. While the JLA superheroes all had roughly the same personality and no real inter-team conflict, Lee made his heroes very distinct – almost caricatures – and there was PLENTY of inter-team conflict. The Hulk in particular abandoned the team in the second issue and was the primary antagonist by Avengers #3. Avengers #3 (January 1964) is itself the final step in connecting all of the Marvel heroes together. The Hulk has gone missing and the rest of the team wants to find him. Iron Man uses an “Image Projector” to ask other superheroes around the world if they had seen the Hulk. He visits the Fantastic Four, Spider-man and the X-men. In that same month in Tales of Suspense, Iron Man meets Angel (one of the X-men). The cat was out of the bag. Lee had a new trick to boost sales of all of his titles and he put it to work throughout the year. The first full crossover of the Fantastic Four and the Avengers happens in May (Fantastic Four #26). Daredevil premiered in March 1964 (with Spider-man on the cover, but not in the pages), and crosses over in Amazing Spider-man #16 (September 1964). Dr Strange first appears on the cover of another title in Fantastic Four #27 (June 1964). The Avengers battle the X-men (before teaming up) in X-men #9 (Dec 1964) Atlas was no longer just a collection of comic books about various topics, or even a collection of different flavors of superhero. It was a single shared universe: The Marvel Universe. It wasn’t planned out in advance, instead it happened in stages due more to commercial rather than artistic needs. Basically Stan Lee created the most successful modern mythology because he needed the money. III. Are Silver Age Marvel Comics any good? Well, apart from Amazing Spider-man, which holds up surprisingly well, I would not recommend reading any of them. Even Spider-Man is much weaker than the Ultimate Spider-Man reboot version of the story published 2000-2011. If you wanted to read Spider-Man from the beginning you would likely enjoy that later series a lot more than the original. The other titles vary in quality from “okay” (the Fantastic Four) to “absolute garbage” (Ant Man stories in Tales to Astonish). Which begs the questions, if these comics were so bad, how did they succeed as well as they did? Clearly the comics were “good for their time”. Millions of people bought and read them, and they clearly passed the “test of time”. So does that mean that we are better today at making art than we were back then? Or is art neither better or worse, just “of its time” and people back then would think the Ultimate Spider-man stories from 2000 were unreadable? I will argue the following: The stories were “good for their time”. VERY good for their time. They were much much better than the comic book stories that preceded them, and much better than other contemporary comic book adventures (like those being published by DC)
Inline links: https://substackcdn.com/image/fetch/$s_!PSlu!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F3a6bd78e-adf3-4baf-85fc-00119fd1e009_278x427.png, https://substackcdn.com/image/fetch/$s_!0Dq4!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F542d887f-0a3f-428c-9425-8ccb86e30d66_296x447.png, https://substackcdn.com/image/fetch/$s_!Scg-!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F69173ca0-9f5d-48e3-884a-7747b661f9ed_294x451.png, https://substackcdn.com/image/fetch/$s_!JwSH!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F89ab07df-deb7-4c5d-b418-17f6c0d2a40b_600x566.png
Streams of Consciousness1 mentions across 1 issues

Streams of Consciousness is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 06, 2022 and April 06, 2022. The archive places it in contexts such as "Jacob (writes Streams of Consciousness ) says". It most often appears alongside 19th century, 21st century, Africa.

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April 06, 2022
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April 06, 2022
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Highlights From The Comments On Self-Determination
April 06, 2022 · Original source
6: Jacob (writes Streams of Consciousness) says:
Inline links: Jacob, Streams of Consciousness
Strong Towns1 mentions across 1 issues

Strong Towns is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 11, 2023 and September 11, 2023. The archive places it in contexts such as "https://www.strongtowns.org/journal/2019/7/24/approaching-peak-housing-dysfunction-in-california". It most often appears alongside 101, ALUC, Antioch.

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Strong Towns
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Highlights From The Comments On Last Week's Model Cities Post
September 11, 2023 · Original source
https://www.strongtowns.org/journal/2019/7/24/approaching-peak-housing-dysfunction-in-california
Inline links: https://www.strongtowns.org/journal/2019/7/24/approaching-peak-housing-dysfunction-in-california
strongtowns.org1 mentions across 1 issues

strongtowns.org is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 11, 2023 and September 11, 2023. The archive places it in contexts such as ""https://www.strongtowns.org/journal/2019/7/24/approaching-peak-housing-dysfunction-in-california"". It most often appears alongside 101, ALUC, Antioch.

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strongtowns.org
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Highlights From The Comments On Last Week's Model Cities Post
September 11, 2023 · Original source
https://www.strongtowns.org/journal/2019/7/24/approaching-peak-housing-dysfunction-in-california
Inline links: https://www.strongtowns.org/journal/2019/7/24/approaching-peak-housing-dysfunction-in-california
Strunk & White1 mentions across 1 issues

Strunk & White is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 04, 2022 and March 04, 2022. The archive places it in contexts such as "Strunk & White aside, there’s no ruleset for how to write". It most often appears alongside Ajeya Cotra, atomic bomb, Ayatollah Khameini.

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Strunk & White
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What Are We Arguing About When We Argue About Rationality?
March 04, 2022 · Original source
...make a painting feel more like a Van Gogh, or “more cheerful”, or various other intuitive things. Even text generation programs like the GPTs are conquering intuition - Strunk & White aside, there’s no ruleset for how to write, just better or worse judgment on what word should come next. Since these AIs are just giant matrix multiplication machines, “...
...make a painting feel more like a Van Gogh, or “more cheerful”, or various other intuitive things. Even text generation programs like the GPTs are conquering intuition - Strunk & White aside, there’s no ruleset for how to write, just better or worse judgment on what word should come next. Since these AIs are just giant matrix multiplication machines, “intuition” now has a firm grounding in math...
Stubborn Attachments From Behind The Veil1 mentions across 1 issues

Stubborn Attachments From Behind The Veil is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 10, 2022 and February 10, 2022. The archive places it in contexts such as "my own Stubborn Attachments From Behind The Veil". It most often appears alongside 2018, @BendiniUK, @benyeohben.

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ACX Grants ++: The Second Half
February 10, 2022 · Original source
#78: Research Questions In Progress Studies With funding from ACX Grants I will investigate a set of specific and crucial open questions for Progress Studies: What is our capacity to slow technological progress if desired? What are general properties of technology which limit or exacerbate existential risk? How robust are recommendations to different sets of moral ethics? These are crucial to understanding the importance of accelerating progress, but relatively little effort has been devoted to these questions outside of AppliedDivinityStudies’ The Moral Foundation of Progress, and my own Stubborn Attachments From Behind The Veil. In the past, I’ve interned on economic policy at the CATO Institute and The Charter Cities Institute where I published on growth and governance. ADS has also agreed to mentor me over the summer, and provides a vote of confidence. If you’re able to provide funding, please email maxwell.tabarrok@gmail.com.
Studies On Slack1 mentions across 1 issues

Studies On Slack is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 05, 2021 and April 05, 2021. The archive places it in contexts such as "I publish Studies On Slack". It most often appears alongside 2020 presidential election, Adversarial Collaboration Contest, Alaska.

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Studies On Slack
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2020 Predictions: Calibration Results
April 05, 2021 · Original source
SSC, ETC: 44. I do another Nootropics Survey this year: 70% 45. I do another SSC Survey this year: 90% 46. I start a Reader SSC Survey this year: 60% 47. I start a SSC Book Review Contest this year: 70% 48. I run another Adversarial Collaboration Contest this year: 10% 49. I publish [redacted]: 20% 50. I publish [redacted]: 50% 51. I publish [redacted]: 60% 52. I publish Studies On Slack: 80% 53. …conditional on being published, it gets at least 40,000 pageviews: 10% 54. I publish [redacted]: 60% 55. …conditional on being published, it gets at least 40,000 pageviews: 50% 56. More hits this year than last: 70% 57. Most hits ever this year: 20% 58. I finish Unsong revision this year: 40% 59. New co-blogger with more than 3 posts: 10%
Inline links: 45. I do another SSC Survey this year: 90%, Studies On Slack, 56. More hits this year than last: 70%
Stuff White People Like1 mentions across 1 issues

Stuff White People Like is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 09, 2022 and December 09, 2022. The archive places it in contexts such as "Bobos came out in the era of the "Stuff White People Like" website". It most often appears alongside 417th Marquess of Cornwallshireshire, ACX, ACX.

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Highlights From The Comments On Bobos In Paradise
December 09, 2022 · Original source
Bobos came out in the era of the "Stuff White People Like" website. It was certainly a moment, and Brooks captured it—not the reality, on the ground, but a way to look at things that made sense for people in it.
Subject To Change1 mentions across 1 issues

Subject To Change is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 11, 2021 and April 11, 2021. The archive places it in contexts such as "Russell Hogg reports having an ACX-adjacent podcast, Subject To Change". It most often appears alongside Agnes Callard, Bayes, Bean.

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Open Thread 167
April 11, 2021 · Original source
3: Russell Hogg reports having an ACX-adjacent podcast, Subject To Change, which has interviewed people like Bean and David Friedman, as well as wider celebrities like Bret Devereaux, Tyler Cowen, Agnes Callard, etc.
Inline links: Subject To Change
Substack Recommendations1 mentions across 1 issues

Substack Recommendations is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 01, 2024 and April 01, 2024. The archive places it in contexts such as "recommend their blog in the Substack Recommendations system". It most often appears alongside Anthropic, Astralcodexten Com, Chicago, IL.

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Open Thread 323
April 01, 2024 · Original source
4: Several people have asked me to recommend their blog in the Substack Recommendations system. I have a blanket policy of always refusing, because otherwise I would worry about offending someone and stumble into recommending everybody. If your blog is good, I will hopefully come across it and recommend it without you asking me, sorry.
This is the weekly visible open thread. Post about anything you want, ask random questions, whatever. ACX has an unofficial subreddit, Discord, and bulletin board, and in-person meetups around the world. 95% of content is free, but for the remaining 5% you can subscribe here. Also:
Inline links: subreddit, Discord, bulletin board, in-person meetups around the world, here
2: There were some technical difficulties with the forecasting score hashes last time. Here are some improved versions, total score only, sorry. Blind Score Hash 60.2KB ∙ XLSX file Download Download Full Score Hash 12.9KB ∙ XLSX file Download Download Go to this site and enter the email address you used for the contest. Find the first five characters of the hash on the Excel file, and that’s you; your score is the next cell over. The highest score was 0.275, the lowest was -2.185, and you can compare to various averages on this graphic from the post. Thanks again to Leon for making this work.
Inline links: Download, Download, this site, on this graphic, the post
Substacker1 mentions across 1 issues

Substacker is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 05, 2026 and February 05, 2026. The archive places it in contexts such as "leaked it to Substacker Yashar Ali". It most often appears alongside 4o, 60 Minutes, @MattZeitlin.

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Links For February 2026
February 05, 2026 · Original source
32: 60 Minutes recorded a segment on CECOT (El Salvador torture prison being used by Trump administration), then tried to suppress it (probably under indirect pressure from the administration), then changed its mind and showed it after all (see here for discussion of whether this summary is fair). I was heartened to see that someone leaked it to Substacker Yashar Ali. I have a bias towards Streisand Effect-ing things that get suppressed like this, so I’ll link it here even though it got on 60 Minutes eventually anyway.
Inline links: see here for discussion of whether this summary is fair, leaked it to Substacker Yashar Ali
summerofprotocols.com1 mentions across 1 issues

summerofprotocols.com is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 10, 2023 and November 10, 2023. The archive places it in contexts such as "for a recent fellowship with Ethereum Foundation ( summerofprotocols.com )". It most often appears alongside #EEGManyLabs, 23andme, @freeshreeda.

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summerofprotocols.com
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Followup: Quests And Requests
November 10, 2023 · Original source
I also think I understand the problem pretty well as it was the research topic of my choice for a recent fellowship with Ethereum Foundation (summerofprotocols.com). Happy to chat through the problem and/or share my research with people in private.
Inline links: summerofprotocols.com
Sundry Such and Other1 mentions across 1 issues

Sundry Such and Other is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 20, 2022 and April 20, 2022. The archive places it in contexts such as "Thegnskald (writes Sundry Such and Other ) says:". It most often appears alongside A.E. Waite, Adlerian psychology, AL.

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Sundry Such and Other
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Highlights From The Comments On "Sadly, Porn"
April 20, 2022 · Original source
Thegnskald (writes Sundry Such and Other) says:
Inline links: Thegnskald, Sundry Such and Other
Superb Owl1 mentions across 1 issues

Superb Owl is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 10, 2022 and November 10, 2022. The archive places it in contexts such as "From the Superb Owl blog"; "From the Superb Owl blog: Can We Trust Self-Reported Mystical Experiences ?". It most often appears alongside Andres, dodecaplex, Linch.

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Can People Be Honestly Wrong About Their Own Experiences?
November 10, 2022 · Original source
From the Superb Owl blog: Can We Trust Self-Reported Mystical Experiences? A lot of the post addresses what seem to me to be easier problems. But one example stuck with me. Owl lifted it from Sam Harris, and it’s a story about a woman who described herself as ‘enlightened’ to a Tibetan Buddhist master.
Inline links: Can We Trust Self-Reported Mystical Experiences
Superforecasting1 mentions across 1 issues

Superforecasting is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 01, 2022 and May 01, 2022. The archive places it in contexts such as "Philip Tetlock (of Superforecasting fame)". It most often appears alongside ACX community subreddit, Astralcodexten Com, Conjecture.

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Superforecasting
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Open Thread 222
May 01, 2022 · Original source
1: Philip Tetlock (of Superforecasting fame) and his team are running a new tournament that combines forecasting and persuasion. They want people who are familiar with x-risk and willing to spend ~3 hours a week for a few months thinking/talking about it. People selected to participate will get $2,000 to $10,000 (and some people can win $2,000 as a prize just for applying). See here for more information and to apply.
Inline links: See here for more information and to apply
Superforecasting The Origins Of The COVID-19 Pandemic1 mentions across 1 issues

Superforecasting The Origins Of The COVID-19 Pandemic is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 13, 2024 and May 13, 2024. The archive places it in contexts such as "Good Judgment Project’s report on Superforecasting The Origins Of The COVID-19 Pandemic". It most often appears alongside 17 CFR Part 40, 2024 election, Austin.

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24
May 13, 2024 · Original source
(I understand most of the NO vote here is based on the theory that there will be legal intervention - maybe because the government is willing to tolerate sweepstakes casinos but not sweepstakes prediction markets). Manifold co-founder Austin Chen won’t be involved. He’s leaving the site - not explicitly because of the pivot, he just said it seems to be “trapped in local optima”. He plans to focus on other parts of the Manifold empire, especially Manifund, which tests impact markets, regranting, and other “experimental” charity models. Manifold will continue in the hands of the other two co-founders, James and Stephen Grugett. Superhindcasting I mentioned this in my lab leak post, but it deserves more attention here: Good Judgment Project’s report on Superforecasting The Origins Of The COVID-19 Pandemic. Good Judgment Project employs superforecasters who will predict things for clients. Some people interested in COVID origins asked them to judge whether lab leak was plausible. Their headline result was 74% zoonosis, 25% lab leak, 1% something else. Part of GJP’s method is getting their forecasters to share sources and talk to each other. Here’s the graph for how that went: People changed their minds a little over time, but not in a very consistent way that mattered much in the end. What was the “client feedback”? The report says: Client feedback was provided to the Superforecasters on December 21. The client posed questions to the Superforecasters about their assessments up to that date and asked for their reactions to several studies and articles. In the days following the client engagement, the Superforecasters lowered their confidence in the natural zoonosis hypothesis from 73% to 67%, although zoonosis remained the most likely potential cause in their assessment. But following an active engagement with recent genomic studies and historical base rates of zoonotic spillovers, those numbers began to return to earlier levels. January also saw increased attention to the geopolitical context and transparency issues, particularly related to research activities in Wuhan Is this bad? I’m imagining a pro-lab-leak client saying “But what about [this list of pro-lab-leak arguments]?” and then the superforecasters read them and adjust. In one sense, it’s good that they got to see more arguments; on the other, it seems like a potential route by which clients could bias the results - probabilities never quite got back to where they were before the feedback, though they got pretty close. The last-minute spike for zoonosis might be the Rootclaim debate results, which were released on 2/18. So maybe the client feedback and the Rootclaim results both slightly affected the numbers, but mostly the superforecasters started out pro-zoonosis and stuck to their guns. Dan Schwarz and the FutureSearch team say that forecasting has a “rationale-shaped hole”. Despite the report making this sound like a pretty intense process, we don’t get much information about details: In their extensive discussions , Good Judgment’s Superforecasters assessed base rates and historical patterns, existing evidence and scientific analysis, geopolitical context and transparency concerns, trust in intelligence communities, and methodological constraints. 1. Base Rates and Historical Patterns: The Superforecasters frequently referenced base rates, i.e., the history of pandemics emerging from natural zoonosis versus the history of laboratory leaks, to anchor their probabilities. For the former, they discussed how the base rates are changing as the climate warms and as expanding human populations push farther into natural environments that previously saw little human presence. For the latter, they acknowledged that it has only been 12 years since the advent of CRISPR gene- editing tools, and the base rate of lab leaks in the short synthetic biology era is not yet well established. 2. New Evidence and Scientific Analysis: Throughout the period, the Superforecasters adapted their forecasts in light of new scientific evidence, including genomic analyses of SARS-CoV-2 and its relation to bat viruses, and the debate over potential laboratory manipulation. 3. Geopolitical Context and Transparency Concerns: The geopolitical implications of the virus’s origins, particularly in relation to China’s transparency and the involvement of international research institutions, played a significant role in the analysis. Concerns over data veracity, and over the political ramifications of determining that the pandemic’s origins were other than zoonosis, were extensively debated. 4. Trust in Intelligence: Commentary on trust in intelligence communities and discussions about the impact of geopolitical biases on the interpretation of evidence illustrated the complex interplay between science, politics, and human behavior in assessing the pandemic’s origins. 5. Methodological Critiques and the Evaluation of Evidence: The Superforecasters engaged in methodological critiques of the evidence base, including the scrutiny of laboratory practices and biocontainment levels [...] In the end, most Superforecasters were in rough agreement on issues like the base rates of zoonotic spillover. Where they most often disagreed was on the interpretation of actions by Chinese officials and whether their actions reflected how an authoritarian government would react in any crisis over which it did not have full control, or whether those actions were indicative of attempts to cover up a biomedical research-related accident that allowed the SARS-CoV-2 virus to enter circulation in China and, ultimately, the entire globe. Probably it would be too much to ask for to get a transcript of all their discussions - then they’d be nervous saying things that might make them look bad to an audience. What would be a good balance between getting more information and not imposing on their time? Forecasting is an unusually legible and easy-to-judge domain. One of the theories of change for forecasting was to use it to identify smart people with good reasoning, then turn them loose on less well-behaved problems. This is one of the first big attempts to do this at scale. How did it work? We can’t tell, because it’s inherently an illegible and hard-to-judge domain. Darn. I don’t know what I expected. Notes From A Local Optimum Austin’s concern - that forecasting has reached a local optimum - is widely shared. We have some good sites: Manifold, Metaculus, Polymarket, GJO, etc - all doing good work. We have good-ish probabilities for a few important questions. Every so often a news source cites them. Sometimes a decision-maker looks at them behind the scenes, maybe. Is this all there is? The FutureSearch team says the next step is to focus on “rationale”. We need to use forecasting not just to get a raw probability, but to explain what’s going on and why we think something. Then instead of just convincing policy-makers to trust forecasts, we can tell them why something is true, or inform their discussions even if they’re not willing to blindly trust a number. Is this a betrayal of the forecasting ethos? The original dream was that instead of a bunch of people giving arguments, we could just test who was right. Now we’re going back to the arguments? People have argued forever; what does forecasting add to that? Well, they add the knowledge that the arguments are from people who have been right a lot before and are incentivized to be right again. Still, it’s not a natural fit. Probably it’s relevant here that FutureSearch’s forecasting AI does a really good job of this by default, in a way humans can’t match. Nuno’s yearly forecasting roundup doesn’t have a single thesis, but the first part is a well-supported complaint that most forecasting sites aren’t good business. They either burn VC money, burn EA donations, or converge towards casinos to support themselves. He gives an honorable exception to Cultivate Labs, which sells prediction market software rather than the results themselves. Open Philanthropy (billionaire Dustin Moskovitz’s EA-aligned charitable foundation) has at least given forecasting a vote of confidence, recently choosing to promote it to one of their main donation areas. Still, they got a lot of pushback on the decision, for example SuperDuperForecasting here: This will be a total waste of time and money unless OpenPhil actually pushes the people it funds towards achieving real-world impact. The typical pattern in the past has been to launch yet another forecasting tournament to try to find better forecasts and forecasters. No one cares, we already know how to do this since at least 2012! The unsolved problem is translating the research into real-world impact. Does the Forecasting Research Institute have any actual commercial paying clients? What is Metaculus's revenue from actual clients rather than grants? Who are they working with and where is the evidence that they are helping high-stakes decision makers improve their thought processes? Incidentally, I note that forecasting is not actually successful even within EA at changing anything: superforecasters are generally far more relaxed about Xrisk than the median EA, but has this made any kind of difference to how EA spends its money? It seems very unlikely. And Marcus Abramovich here: I'm in the process of writing up my thoughts on forecasting in general and particularly EA's reverence for forecasting but I feel, similar to @Grayden that forecasting is a game that is nearly perfectly designed to distract EAs from useful things. It's a combination of winning, being right when others are wrong and seemingly useful, all wrapped into a fun game. I'd like to see tangible benefits to more broad funding of forecasting that seems to be done in t he millions and tens of millions of dollars. I would also be the type of person you would think would be a greater fan of forecasting. I'm the number one forecaster on Manifold and I've made tens of thousands of dollars on Polymarket. But I think we should start to think of forecasting as more of a game that EAs like to play, something like Magic the Gathering that is fun and has some relations to useful things but isn't really useful by itself. Eli Lifland has a long and hard-to-summarize comment here, response from Ozzie Gooen here, podcast between them on “Is Forecasting A Promising EA Cause Area?” here. I’m split on this. My previous hope was that the field would gradually grow, without any qualitative changes or discontinuities, until it became big enough that journalists and policy-makers were aware of it and took it seriously (compare eg the growth of the Internet as a scholarly resource). I think the strongest argument against this is Manifold’s relatively flat user numbers. Is there a new hope? I think if nothing else, forecasting might be useful as a testing ground: First, to create forecasting AIs (like FutureSearch) which can then get consulted on a variety of questions, eg by policy-makers. The biggest holdup has always been the need to gather 20 or 50 or however many hard-to-find superforecasters for whatever question you’re asking, and then trust their advice even though they’re fallible fleshbag humans. If you can use the 20 to 50 superforecasters to inspire an AI, and then test the AI and prove it’s good, people might be more interested. This is especially true if the AI can branch out beyond traditional forecasting questions. Once we have a few of these, we can start comparing the next generation of AIs to the previous generation, and skip the superforecasters.
Inline links: leaving the site, Manifund, report on Superforecasting The Origins Of The COVID-19 Pandemic., https://substackcdn.com/image/fetch/$s_!F-e7!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F679c34d2-766f-41bd-ae75-b036bcdb06f9_1456x849.webp, https://substackcdn.com/image/fetch/$s_!JSEn!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F9c315554-fca5-4dc5-ac9a-d531b4ce7534_883x519.png, forecasting has a “rationale-shaped hole”, Nuno’s yearly forecasting roundup, Cultivate Labs, choosing to promote it to one of their main donation areas, here, superforecasters are generally far more relaxed about Xrisk, here, @Grayden, here, here, “Is Forecasting A Promising EA Cause Area?” here
superhappiness.com1 mentions across 1 issues

superhappiness.com is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 15, 2024 and May 15, 2024. The archive places it in contexts such as "you can find his arguments scattered across pages like ... superhappiness.com". It most often appears alongside @the_megabase, A Pan-Species Welfare State, ACX Grantees.

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superhappiness.com
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Profile: The Far Out Initiative
May 15, 2024 · Original source
(being a combination philosopher/domain-name-monger has its advantages; along with his main site, you can find his arguments scattered across pages like utilitarianism.com, biopsychiatry.com, and superhappiness.com)
Inline links: his main site, utilitarianism.com, biopsychiatry.com, superhappiness.com
Swamp Thing1 mentions across 1 issues

Swamp Thing is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 16, 2024 and August 16, 2024. The archive places it in contexts such as "the best comic book stories to ever be written will be Swamp Thing by Alan Moore". It most often appears alongside 20th Century Fox, Abomination, Abomination.

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Swamp Thing
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Your Book Review: Silver Age Marvel Comics
August 16, 2024 · Original source
Generative: Shakespeare was the inspiration for a great deal of later work. I would add a fourth: 4. Innovative: Shakespeare was the greatest writer of his time and innovated in new ways that have become standard in writing going forward Richard argues that when you look at activities with objective standards, performance improves over time. It is only when we look at subjective things, like art, where many people believe that the people who came early were the Greatest Of All Time (GOATs). But I think the same thing is going on in both objective and subjective fields. The greatest individuals at any time period both perform the activity well AND find a way to do it in ways that have never been done before. Wayne Gretzky was the greatest hockey player of his time. He still holds the record for the most points (goals + assists) in a regular season (1985-86). He also holds second place (212, 1981-82) and third place (208, 1984-85). In fact when you rank all players by season across all time “Gretzky seasons” are four of the top five and eight of the top ten. When you look at career points, Gretzky has so many more points than second place (Jaromir Jagr) that Gretzky would still win even if you didn’t count any of his goals (i.e., he has more assists than Jagr has goals plus assists). Gretsky also holds the record for most records (at 61). Derek Thompson, at The Atlantic, argues that Gretzky has the most impressive statistical achievement in any sport. The top player in terms of assists last year was Nikita Kucherov, coming in at 100 assists – enough to be the 4th best player of all time – but only the 14th best season because Gretzky did better 11 times. And yet if Gretsky played today he would likely be outclassed by Nikita Kucherov – and many modern players. Because hockey players today are, generally, much better than hockey players back when Gretsky was playing. Part of the REASON they are better is that they learned how to play by watching Gretzky. Gretzky did not just play better than everyone at the time – he played differently. His famous quote “Skate to where the puck is going to be, not where it has been” seems obvious to us today, but it was novel enough that it got put on Wayne Gretzky posters after he said it. That is true for many innovations: What is obvious today once had to be invented by someone, and wasn’t obvious before that happened. Before Gretsky, players played hockey between the two nets. Gretsky played BEHIND the net. He did it so often and so well, “behind the net” became referred to as Gretsky’s “office”. Now it is well known that if a player can get behind the net and then pass outfront it is almost always a goal (the goalie can’t see where the puck is coming from in time). All professional players and teams know that and do whatever they can to stop it from happening. The players that now play behind the net, or the writers that mix metaphors in witty ways are not considered “great” because everyone does it now – or at least understands how it can be done. What made Gretsky and Shakespeare great is that they were the first of their respective kinds to figure out new ways of doing things. So can we quantify the quality of art? Finding ways to quantify Beethoven vs Mozart vs Andrew Lyde Webber is out of scope for this essay, but storytelling, at least part of storytelling HAS been quantified. In 2004 Steven Johnson wrote “Everything Bad is Good for You: How Popular Culture is Making Us Smarter”. In it Johnson diagrams the plots of television episodes. Most TV shows in the 1970s had two “plotlines”. There would be some sort of opening piece for a couple of minutes (plot line 1), followed by the main story for the majority of the episode (plot line 2), then after plotline 2 was wrapped up, there would be a short epilogue calling back to plot line 1 for the last minute or two of the show – very “linear television”. Johnson claims Hill Street Blues was the first innovation on that model. Instead of one main storyline there were three stories – the A, B and C stories. The writer/director would move back and forth between the three stories, which often had thematic parallels to each other. This created far more engaging television, but it was also much more difficult to follow for people who were used to the old model. That increase in complication belies Johnson’s claim that pop culture was making people smarter. But I just want to focus on how it was making stories more complicated – and “better”. It was an innovation. That innovation continued. Johnson explains that The Sopranos was the show to take it to the next level. Instead of just three plots that each ran independently, now David Chase (creator of The Sopranos) oversaw dozens and dozens of plot lines. Unlike Hill Street Blues where any given scene would advance a single plot line, in The Sopranos a single scene might push forward elements from two, three, four or more plotlines as everything intertangles. Sopranos also pushed further into long term commitment. Where Hill Street Blues plotlines were generally started and then wrapped up within each episode, Sopranos plotlines would carry over from one episode to the next. Sometimes a new plot line would be created in a scene of an episode and then go dormant for multiple episodes before coming back. This type of storytelling is common in prestige television today. Even the “dumbest” TV for the lowest common denominator is more complicated than Hill Street Blues (the most complicated show of its time). That does not mean that Mike Kelly (creator of “Revenge”, one of the lowest rated TV on IMBD still on the air today) is a better writer than Steven Bochco (creator of HSB), but it might mean that the plots of Revenge may keep modern audiences more entertained than the comparably slow moving Hill Street Blues (or maybe not. I have never seen Revenge and have no desire to attempt it, even for a more thorough review). The point is that it is possible that art IS getting better. That writers are learning from the writers that came before them on what types of stories people like to hear and engage with. Silver Age Marvel Comics did things that no comic had ever done before, but that does not mean they did ALL the innovative things that could make comics better. There are likely diminishing returns on innovation in art – but wherever those diminishing returns land on comic book creation, the creators in the 1960s were far from approaching them. Aside #6: In ancient Greece plays were traditionally a single protagonist/actor playing off of a large chorus. At some point (we aren’t sure when due to the limited number of plays that have survived) Aeschylus innovated and added a second actor (and shrunk the size of the chorus). This allowed two actors to have dialog and interact with each other. Before Aeschylus, no other playwright had thought to do this. Then it took almost twenty years before a new playwright, Sophocles, fell upon the idea of adding a THIRD actor. It seems that was as far as it went. The idea of a fourth actor would require innovation beyond the ability of the Greeks at the time. Today, comic book storytelling may be at the efficient frontier. At some point between 1965 and today it is possible the major innovations were complete and future innovations were fighting against diminishing returns (“I have an idea! What about a 272nd actor!”). Are the best comics today generally better than Ultimate Spider-man (2000), or other great comic book runs of the past 30 years? Maybe the best comic book stories to ever be written will be Swamp Thing by Alan Moore, Robert Kirkman’s The Walking Dead or Michael Bendis’ Daredevil? It could be that the innovation in comic book storytelling peaked sometime in the last 20 years. There are still more stories to tell, but they won’t be objectively better than the best stories that came before. I don’t want to debate that point. But what I will argue is that the writers of the early 1960s were very far away from the storytelling capabilities that came later. But while those Silver Age writers did not have the tools and experience writers have today, they did have an open canvas. They had “low hanging fruit of innovation”. Lee, Kirby and Ditko were some of the most innovative creators of their time, and their time just happened to be the right time for creating the modern mythological foundation of our time. IV. Silver Age Innovations When writing the first draft of this essay I came up with a dozen innovations that made Silver Age Marvel Comics different from their contemporaries and what came before. Rather than working through all of them, I am going to highlight four of those innovations, chosen mostly because those four are the most interesting to write about, and that should be enough to get the point across. Innovation #1: The Characters Let’s review the characters that Stan Lee had a part in creating between November 1961 and December 1965: The Fantastic Four (Reed Richards, Invisible Girl, Human Torch, Thing – and Franklin Storm (1964))
Inline links: record for most records, Derek Thompson, Everything Bad is Good for You: How Popular Culture is Making Us Smarter
Swedish Adoption Twin Study Of Aging1 mentions across 1 issues

Swedish Adoption Twin Study Of Aging is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 26, 2025 and June 26, 2025. The archive places it in contexts such as "Swedish Adoption Twin Study Of Aging: h ttps://sci-hub.st/https://doi.org/10.1111/j.1467-9280.1992.tb00045.x , see Table 3, first principal component says 80%". It most often appears alongside Aftab, Alex Young, Arthur Jensen.

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Missing Heritability: Much More Than You Wanted To Know
June 26, 2025 · Original source
Swedish Adoption Twin Study Of Aging: https://sci-hub.st/https://doi.org/10.1111/j.1467-9280.1992.tb00045.x , see Table 3, first principal component says 80%. https://sci-hub.st/10.1126/science.276.5318.1560, abstract says 62%. These are different subsets of the same Swedish study; I averaged them together and said 71%. This is extremely unprincipled - they had different sample sizes and were measuring different things - but I also didn't want to list the same study twice.
Inline links: ttps://sci-hub.st/https://doi.org/10.1111/j.1467-9280.1992.tb00045.x, https://sci-hub.st/10.1126/science.276.5318.1560
Swedish paper1 mentions across 1 issues

Swedish paper is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 24, 2023 and May 24, 2023. The archive places it in contexts such as "A summary of the Swedish paper mentions that". It most often appears alongside Almas, American study, AttractiveWorld.

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Swedish paper
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Hypergamy: Much More Than You Wanted To Know
May 24, 2023 · Original source
A summary of the Swedish paper mentions that:
Inline links: summary of the Swedish paper
Sydney Morning Herald1 mentions across 1 issues

Sydney Morning Herald is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 01, 2022 and July 01, 2022. The archive places it in contexts such as "Elsewhere in media malpractice news: Sydney Morning Herald nonconsensually outs an actress as lesbian". It most often appears alongside @a_centrism, @amplituhedron, AISafetySupport.com.

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Sydney Morning Herald
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Links For June
July 01, 2022 · Original source
36: Elsewhere in media malpractice news: Sydney Morning Herald nonconsensually outs an actress as lesbian, using the old “well it was possible to find the information so you couldn’t have really been committed to keeping it secret” excuse. They have since apologized, which I guess is more than NYT has ever done.
Inline links: nonconsensually outs an actress as lesbian
Syfy1 mentions across 1 issues

Syfy is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 11, 2025 and September 11, 2025. The archive places it in contexts such as "it got lavish positive reviews in Syfy". It most often appears alongside Aella, AI 2027 team, AI2027.

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Syfy
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Book Review: If Anyone Builds It, Everyone Dies
September 11, 2025 · Original source
Eliezer Yudkowsky, at his best, has leaps of genius nobody else can match. Fifteen years ago, he decided that the best way to something something AI safety was to write a Harry Potter fanfiction. Many people at the time (including me) gingerly suggested that maybe this was not optimal time management for someone who was approximately the only person working full-time on humanity’s most pressing problem. He totally demolished us and proved us wronger than anyone has ever been wrong before. Hundreds of thousands of people read Harry Potter and the Methods of Rationality, it got lavish positive reviews in Syfy, Vice, and The Atlantic, and it basically one-shotted a substantial percent of the world’s smartest STEM undergrads. Fifteen years later, I still meet bright young MIT students who tell me they’re working on AI safety, and when I ask them why in public they say something about their advisor, and then later in private they admit it was the fanfic. Valuing the time of the average AI genius at the rate set by Sam Altman (let alone Mark Zuckerberg), HPMOR probably bought Eliezer a few billion dollars in free labor. Just a totally inconceivable level of victory.
Sympathy For The Devil1 mentions across 1 issues

Sympathy For The Devil is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 06, 2021 and August 06, 2021. The archive places it in contexts such as "I mentioned in a section of my recent post, “Sympathy For The Devil”". It most often appears alongside American College of Clinical Pharmacy, ASPEN, BCH.

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Sympathy For The Devil
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Details Of The Infant Fish Oil Story
August 06, 2021 · Original source
It didn’t mention some potentially exculpatory factors, like that there weren’t that many studies in favor (also, although I didn’t get into this above, some people thought the fish oil based fluid might cause bleeding, although this turned out not to be true). I’m sorry for these errors and will add a link to this post on my Mistakes page. Still, I think the basic structure was right - the new fluid was better than the old fluid, this was pretty clear in terms of miraculous recoveries, and it took 14 years between the first patient saved and full FDA approval. You’ll notice that in Dr. Gura’s story (whose tone I tried to reproduce in Part II) it’s not obvious that this is an anti-FDA morality tale at all. Dr. Gura gently criticizes other doctors and hospitals for not realizing the value of Omegaven fast enough. She criticizes funding agencies for refusing to fund Omegaven studies, and journals for refusing to publish Omegaven articles. She even criticizes Fresenius, the pharma company behind Omegaven, for failing to advocate hard enough for its own product. The FDA, in comparison, comes out looking pretty good. They approved the first few original single-patient exemptions to import Omegaven from Europe. They (eventually, after a lot of work) approved the Investigational New Drug application that let Boston Children’s Hospital keep using it (I’m still unclear whether any other hospitals got INDs for this). They even contributed a little funding to get one small study done. It wasn’t enough, but the FDA is not primarily a funding body, actual funding bodies dropped the ball on this one, and so it’s really impressive that the FDA went above and beyond to try to move Omegaven through the pipeline. Dr. Gura seems to have been left with the impression that the FDA was one of her few allies during this fight, which I think is fair. I mentioned in a section of my recent post, “Sympathy For The Devil”, that I think the FDA as an agency is often quite good. They’re smart, caring people, and they usually carry out their mandate well - so well that the few exceptions, like aducanumab, are highly newsworthy. I have no objection to Dr. Gura’s mostly-positive portrayal of them. My problem is: doing anything in medicine is illegal until you clear a giant hurdle. To clear the hurdle, you have to pay millions (sometimes billions) of dollars, fill in thousands of pages of forms, conduct a bunch of studies that can be sabotaged for reasons like “this drug is too good so it would be unethical to have a control group”, and wait approximately ten years. You have to clear this hurdle to do anything, even the most obviously correct actions. Everything starts out illegal, and then a tiny set of possible actions is exempted from the general illegality. The easiest name for this hurdle is “the FDA”, since they’re the agency charged with enforcing it. Given the existence of the hurdle, various people come off looking like villains, eg: Yes, funding agencies look bad, insofar as they refused to provide enough millions of dollars to clear the hurdle. But there’s no funding agency so rich that they can can give hurdle-clearing amounts of money to every promising new treatment. Yes, the pharma company involved looks bad, insofar as it balked at the time and expense involved in starting the approval process for its product. But who made the hurdle so high that even a pharma company - one with a great drug and the chance to make millions of dollars off it - took one look at the amount of time/energy/expense involved and said “no thanks”? And if pharma companies are intimidated by the process, what hope does anyone else have? Yes, the other doctors who didn’t really care about this potentially life-saving treatment look bad. But in their defense, they would have had to go through the FDA special-exemption import process to even begin testing this on their own patients. I once had a patient who needed an unusual European drug not available in this country. briefly considered the FDA special-exemption import process, and decided to do the reasonable thing and walk my patient through the process of ordering it illegally on the Internet. I am not super proud of this, but at least the patient got their drug, which is more than you can say about most of the times this kind of thing happens. …and given the existence of the hurdle, the FDA (as an agency) comes off looking good. They helped coach Dr. Gura through the process of filling out forms. They helped fund Dr. Gura’s study. They worked extra hard to process the Omegaven application as fast as they could. Good for them. But as long as this giant hurdle sits in the path of medical practice, lots of people will inevitably be villains, and lots of other people will need to display an unusual and not-fair-to-expect-of-them level of heroism to get anything approved at all. Partly this is about Dr. Gura having to move heaven and earth (and become something of a political activist) to gather the coalition that eventually got Omegaven approved. But partly it’s about - did you notice how unlikely the discovery of Omegaven was? It required: Dr. Baker, a BCH nutritionist, was in touch with the European medical establishment and had learned about their alternative nutritional fluid.
Inline links: Mistakes page
Syracuse Daily Standard1 mentions across 1 issues

Syracuse Daily Standard is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 30, 2021 and April 30, 2021. The archive places it in contexts such as "At least one newspaper, the Syracuse Daily Standard, proclaimed to its readers that it was being printed on mummy paper". It most often appears alongside 1893, 1970s, 1980s.

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Your Book Review: Double Fold
April 30, 2021 · Original source
...roduction from Egypt on several occasions, and several journalists at the time reported that the deliveries had consisted of mummy wrappings. At least one newspaper, the Syracuse Daily Standard , proclaimed to its readers that it was being printed on mummy paper . This could in principle be verified by molecular analysis, but unfortunately almost all the librar...
Syria in Context1 mentions across 1 issues

Syria in Context is a recurring publication in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 09, 2024 and April 09, 2024. The archive places it in contexts such as ""Tobias Scheider is listed as editor of Syria in Context, a set of 'weekly briefs covering key humanitarian, stabilization, and security policy developments in and around Syria'"". It most often appears alongside #S14, 2009 flu pandemic, 2013-16 West African Ebola outbreak.

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Syria in Context
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April 09, 2024
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Highlights From The Comments On The Lab Leak Debate
April 09, 2024 · Original source
Apparently Tobias disagrees that it “later was shown to be correct”. Of note, a Tobias Scheider is listed as editor of Syria in Context, a set of “weekly briefs covering key humanitarian, stabilization, and security policy developments in and around Syria”. Wikipedia and all Western governments agree with Tobias and not Saar.
Inline links: Syria in Context