Crémieux Profile picture
Oct 4, 2024 • 10 tweets • 4 min read • Read on X
There are people who desperately want this to be untrueđź§µ

One example of this came up earlier this year, when a "Professor of Public Policy and Governance" accused other people of being ignorant about SAT scores because, he alleged, high schools predicted college grades better.Image
The thread in question was, ironically, full of irrelevant points that seemed intended to mislead, accompanied by very obvious statistical errors.

For example, one post in it received a Community Note for conditioning on a collider. Image
But let's ignore the obvious things. I want to focus on this one: the idea that high schools explain more of student achievement than SATs

The evidence for this? The increase in R^2 going from a model without to a model with high school fixed effects

This interpretation is bad. Image
The R^2 of the overall model did not increase because high schools are more important determinants of student achievement. This result cannot be interpreted to mean that your zip code is more important than your gumption and effort in school.

If we open the report, we see this:Image
Students from elite high schools and from disadvantaged ones receive similar results when it comes to SATs predicting achievement. If high schools really explained a lot, this wouldn't be the case.

What we're seeing is a case where R^2 was misinterpreted.
The reason the model R^2 blew up was because there's a fixed effect for every high school mentioned in this national-level dataset

That means that all the little differences between high schools are controlled—a lot of variation!—so the model is overfit, explaining the high R^2
This professor should've known better for many reasons.

For example, we know there's more variation between classrooms than between school districts when it comes to student achievement.

As another example, we know that achievement gaps exist along the whole continuum of school and district quality.

If the issue was really zip codes, high schools, and so on, this shouldn't be the case.

The other thing this professor should've known is that high school is biased! GPAs are biased too!

The bias in GPAs has actually been exploited: elite high schools inflate grades and don't report class ranks, so students appear better than they are. Image
But you know what isn't a biased tool for admissions? Just one thing: test scores.

Want to learn more? Here are some sources:

x.com/cremieuxrecuei…

cremieux.xyz/p/what-happens…

cremieux.xyz/p/bias-in-admi…

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More from @cremieuxrecueil

Jan 29
How well-known is this?

A lot of the major pieces of civil rights legislation were passed by White elites who were upset at the violence generated by the Great Migration and the riots.

Because of his association with this violence, most people at the time came to dislike MLK. Image
It's only *after* his death, and with his public beatification that he's come to enjoy a good reputation.

This comic from 1967 is a much better summation of how the public viewed him than what people are generally taught today. Image
And yes, he was viewed better by Blacks than by Whites.

But remember, at the time, Whites were almost nine-tenths of the population.

Near his death, Whites were maybe one-quarter favorable to MLK, and most of that favorability was weak. Image
Read 5 tweets
Jan 28
The Pope, like his recent predecessors, is good to take this position: anti-Semitism is manifestly idiotic!

On that note, did you know that the Catholic Church was actually one of the biggest forces in stopping the rise of the Nazis?

It's true!đź§µ Image
You might say that the Catholics didn't vote for the Nazis because they had their own party: Zentrum.

This isn't the explanation.

Note: the Catholic Church opposed both forms of totalitarianism in Germany, but it had an asymmetric effect against the Nazis, not the Communists.Image
The real "Catholic effect" on far right vote shares was small.

In reality, Catholics only became poised against the far right when the church began to actively campaign against it.

But when the local clergymen were "Brown Priests" (Nazi-supporting priests) like Alois Hudal? Image
Read 22 tweets
Jan 27
The researcher who put together these numbers was investigated and almost charged with a crime for bringing these numbers to light when she hadn't received permission.

Now we have an update that goes through 2020!

First: Where are Sweden's rapists from?

Mostly not Sweden. Image
What countries were those foreign rapists from?

We only got information on the top five origins, constituting roughly half of the foreign-born samples, and thus about a quarter of all the rapists. Image
What about welfare usage? 35.1%.
Alcoholism? 14.9%
Drug addiction? 23.7%
A diagnosed psychiatric disorder besides that? 13%

What about a criminal prior? 52%. That compares to 13.4% of non-rapist criminals. So rapes? Considerably more preventable.
Read 5 tweets
Jan 17
Greater Male Variability rarely makes for an adequate explanation of sex differences in performance.

One exception may be the number of papers published by academics.

If you remove the top 7.5% of men, there's no longer a gap! Image
The disciplines covered here were ones with relatively equal sex ratios: Education, Nursing & Caring Science, Psychology, Public Health, Sociology, and Social Work.

Because these are stats on professors, this means that if there's greater male variability, it's mostly right-tail
Despite this, the very highest-performing women actually outperformed the very highest-performing men on average, albeit slightly.

The percentiles in this image are for the combined group, so these findings coexist for composition reasons. Image
Read 6 tweets
Jan 17
One of the issues with understanding Greater Male Variability on IQ tests is that groups that perform better tend to show greater variance

Therefore, to estimate the 'correct' male-female gap, you need to estimate it when the difference is 0

In the CogAT, that looks like this: Image
In Project Talent, that looks like this: Image
And comparing siblings in the NLSY '79, that looks like this: Image
Read 5 tweets
Jan 14
About a decade ago, a theory emerged:

If men do more of the housework and child care, fertility rates will rise!

Men have been doing increasingly large shares of the housework and child care.

Fertility is lower than ever.Image
In fact, they're doing more in each generation, but fertility has continued to fall. Image
The original claim, that men's household work would buoy fertility, was based on cross-sectional data that was inappropriately given a causal interpretation.

The updated cross-sectional data is as useful, and it affords no assurances about the original idea.

We should move on.
Read 4 tweets

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