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

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 18
The end of affirmative action should have brought about major changes at American universities.

But did it?🧵

One piece of evidence it did is that the Black student share declined: Image
Another piece of evidence is that the Hispanic share declined: Image
And, consistent with Whites and Asians no longer trying to bilk the system, the multiracial share also dropped: Image
Read 10 tweets
Jan 17
It's well-known that a very small portion of the total criminal population is responsible for the overwhelming majority of all crime.

A new study shows that this is also true of prison misconduct:

Just 10% of prisoners are responsible for more than 70% of misconduct in prisons! Image
The above numbers were for males. Here are the numbers for female prisoners.

The numbers are eerily similar. Image
Misconduct overrepresentation holds adjusting for time served in prison, and being a high-misconduct prisoner is predicted by being younger, Black, having a more extensive criminal history, being a violent criminal, being in a state facility, using drugs, and mental disorders.
Read 5 tweets
Jan 16
I used to like this chart, but now I think it's too misleading and we should leave it behind in 2024.

🧵 Image
The key issue is how household size is adjusted for.

In the OP image, they divide by the square root of household size. This is problematic because it means Gen Z incomes are being inflated to the extent they live with their parents.
Generally, when I hear that the younger generations are more successful, what I think is that they're more successful in the stereotypical ways:

They've got relatively better jobs, relatively bigger homes, relatively faster cars and all that.

But the OP graph isn't that.
Read 8 tweets
Jan 16
I was reminded of this yesterday when looking into national IQ estimates.

The "pseudo-analysis" style of critique is to just spit out tons of possible problems, to nitpick, and then to assume that means a whole enterprise is rotten without even checking if the critique holds.Image
The people who engage in this style of critique (example below) don't care for scientific reasoning about these topics.

They want purity by their arbitrary and inconsistent standards, not correctness, not a 'best effort' to get make progress on finding answers. Image
So they misrepresent what people do and say; they attack strawmen; they claim people are wrong based on reasons that don't affect actually make them wrong, but they never check; they fail to understand the basics of the things they're contesting, but they act confident; etc.
Read 5 tweets
Jan 15
This post got 50,000 likes and it never even pointed out the actual issue with the calculations, it just took issue with framing and it expressed that Kareem is too inept to find sources.

But what's new?

Kareem debunking thread below Image
Kareem says this is a "textbook example of how to lie with statistics."

It really isn't, but let's see what he bases this on.

The first thing he says -- his "main criticism" -- is that the data isn't provided. But for Kareem, this is completely meaningless. Image
We know this is meaningless, because even when all the data is presented, Kareem still doesn't do anything with it, understand it, open it, manipulate it, or anything.

He says "where's the data?" and when he gets it, he just blocks you.

Example:
Read 18 tweets
Jan 14
'The patient always lies.'

A major problem with the healthcare system is that patients lie to their doctor.

Most patients will even privately admit that they lied when they were informing their doctors about their issues. Their reasons for doing this often aren't very good: Image
Patients want to avoid getting lectured, they don't want their doctor to call them fat or tell them their snacking habits are unhealthy. They're afraid the doctor will judge them or think they're stupid or immoral, and they don't want the doctor to tell their family.
But because people want to preserve their privacy even in the private setting of a doctor's office, they end up making doctors' jobs harder.

They make it harder to diagnose conditions and to prescribe the right drugs.
Read 5 tweets

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