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

Jul 2
I've seen people mentioning that Europe's heat-related death issue is larger than American gun violence—true!

But people neglect saying how many heat-related deaths America has.

Approximately 1% of what Europe does even though America is hotter and Americans are less healthy! Image
Those factors mean Americans are more at-risk for heat-related deaths, even after accounting for Europe being a little older than America.

So let's be clear:

Europeans die from heat at relatively high rates; Americans survive it with technology. Image
Image
What technology?

It's the terraforming technology of air conditioning.

Install A/C and the heat-related deaths will mostly disappear, if Europe can keep their grid operational. Image
Read 7 tweets
Jul 2
What happens when scholars get canceled?

They end up publishing fewer papers and they receive fewer citations.

In other words, scientific productivity fallsđź§µ Image
Tons of scholars have been cancelled in recent years.

That is, they've received professional backlash for expressing views that people deem "controversial, unpopular, or misaligned with prevailing norms." Image
Cancellations happen outside of academia, but it's very bad in it.

Large portions of the academy dislike the freedom of speech. Many of those free speech opponents have high agency and the clout to cause material harm to people they dislike = particularly bad cancel culture. Image
Read 13 tweets
Jun 28
You must pick one:

Double the productivity of the bottom 20% or double the productivity of the top 1%:
Double the productivity of the bottom 40% or double the productivity of the top 1%:
Double the productivity of the bottom 60% or double the productivity of the top 1%:
Read 7 tweets
Jun 27
Phenotyping is the vast, minimally-explored frontier in genome-wide association studies.

Important threadđź§µ

Briefly, phenotyping is how you measure people's traits. Measure poorly, get bad results; measure well, get good results.

Example? Janky knees. Image
The janky knee example refers to osteoarthritis, the most common form of arthritis, which occurs when the cartilage between bones is worn down, so bones start rubbing against each other.

This ends up being very painful. Image
Everyone with this condition isn't necessarily diagnosed with it.

This is especially true for men, who tend to just ignore this (and many other conditions) more often than women do.

This is, in a word, annoying, because it means that if you study it, sampling is likely biased. Image
Read 35 tweets
Jun 25
ADHD is a condition that's suffered from diagnostic drift: it's been defined more leniently over time, so more people are getting diagnosed.

One way to see this is to look at the benefits of taking ADHD medication. As prescription rates increased, the benefits have declined. Image
Another way to understand diagnostic drift is to look at the factors that promote it.

For example, school accountability laws lead to more diagnoses and, as a result, more psychoactive drug prescriptions.

Schools are pressured by law into making this happen. Image
An even more direct way to understand ADHD's diagnostic drift is to look at what types of diagnoses happen over time.

The increase has been more about non-severe ADHD than clinical ADHD. In other words, people with less and lesser symptoms are getting diagnosed. Image
Read 4 tweets
Jun 24
I have a story to break.

Columbia is still practicing racially discriminatory admissions in defiance of the Supreme Court's ruling in SFFA v. Harvard.

Newly-leaked data shows they still prefer less-qualified Blacks and Hispanics over more-qualified Asiansđź§µImage
Columbia has made a big show of "complying" with SFFA v. Harvard by noting that their 2024 batch of admits involved slightly less discrimination:

Fewer Black and Hispanic students, more Asian students.

That's what should happen, because Asian students tend to perform better.Image
But, with this leaked admissions data, we can see that race still predicts admissions.

With fair admissions, race should not have a significant effect, and it should not be directionally consistent.

And yet, in this data, it's clear Columbia still discriminates against Asians. Image
Read 14 tweets

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