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Crémieux Profile picture
@cremieuxrecueil
Mar 8 • 3 tweets • 1 min read • Read on X
This paper was finally accepted!

TL;DR: The Communists persecuted intellectuals, but the intellectuals persisted.

The areas the Soviets sent those "Enemies of the People" to are more successful today, with higher GDPs, more profitable firms, and greater average wages.

Short🧵
Image
The study also found that the descendants of "Enemies of the People" are better off today, despite their grandparents having everything taken from them by the Communists. Image
During their lifetimes, "Enemies of the People" faced persecution and prejudice. The Communists were able to steal people's land, possessions, families, and rights, but those people were still able to pass on their brilliance. Today, that still makes all the difference.

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More from @cremieuxrecueil

Crémieux Profile picture
Mar 9
Are you a fan of Tokyo? Then let me introduce you to America's Tokyo.

It's called Atlanta!

It has the same temperature range as Tokyo: Image
Tokyo and the American Tokyo have similar chances of precipitation throughout the year! Image
In both Tokyo and the American Tokyo, the odds of muggy conditions in both places are basically the same! Image
Read 7 tweets
Crémieux Profile picture
Mar 7
When humans in different groups take IQ tests, the questions that are easy in one group tend to be the ones that are easy in other groups.

But for the Claude Opus LLM, the questions it got right were unrelated to the ones humans tended to get right.

🧵 Image
There's been a lot of talk these past few years about how much smarter machines are getting.

The latest example is how well they perform on actual IQ tests given to humans. The number now is close to average, suggesting that AIs will soon outmatch us in IQ.
But mind the word "suggesting."

The way that LLMs reason about cognitive tests is by no means how humans reason about cognitive tests

Because LLM performance measures something else, there's no reason to think that the things a high IQ predicts for people are predicted for LLMs
Read 7 tweets
Crémieux Profile picture
Mar 3
Incredible stat: the 1% of male adoptees with biological parents who had three+ convictions were responsible for 30% of the sample's convictions.

Crime is very concentrated. Image
Source: science.org/doi/10.1126/sc…
More:
Read 15 tweets
Crémieux Profile picture
Mar 1
Sub-Saharan Africa has a higher obesity death rate than the U.S. Image
Source: ourworldindata.org/grapher/death-…
Given that this fact coexists with relatively low obesity rates in Africa, this should serve as a reminder of how unhealthy being fat is and how much medical care has made a difference for the survival of obese people. Image
Read 6 tweets
Crémieux Profile picture
Feb 29
I think this is a nifty way to view the relationship between earnings and cognitive ability🧵

You see some smart people along the whole earnings distribution, but they're more common at the high ends. You see comparatively few dull people at the highest levels. Image
The relationship is, in general, modest.

It gets stronger when you subset by sex, age, workforce participation, and stronger yet when you look within occupational strata.

But people make many choices and vary in many important ways beyond IQs, so the general relationship? Noisy
For example, people will trade earnings against certain other "intrinsic qualities" of jobs, and they'll often do the reverse too.
Read 12 tweets
Crémieux Profile picture
Feb 28
Why do women fare so poorly in open source software development?

Is it because people like Stallman make them feel unwelcome?

Maybe not! A lot of the sex difference in success and survival in open source might be down to how devs behave🧵 Image
A 2019 paper in the European Physical Journal Data Science gathered data from more than 190,000 female and 1,400,00 male devs on GitHub, and found that gendered behavior might explain a lot of the gaps in success.Image
Here's the meat: the researchers made a classifier for "femaleness" of devs actions on GitHub, operationalized as the probability of being female given some behavior.

For example, lots of female collaborators? Likely a woman.

Pushing code often? Likely a man. Image
Read 17 tweets

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