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.
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.
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.
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:
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.
Happy Autism Awareness Day! I think too many people are 'aware' of autism.
Have you ever met someone who claims to be autistic, but they've never been diagnosed?
Self-reported autism spectrum disorder (ASD) is practically uncorrelated with real, clinician-diagnosed autism🧵
Sort self-reporters into those with high and low ASD scores, and you get the bars on the left. The "high-trait" self-reporters look like people with diagnosed autism (ASD column).
But they're more socially anxious (middle) and avoidant (right).
So far, the means of distinguishing diagnosed from self-reported autistics have been crude.
To get a more nuanced understanding of their differences, we have to look at behavior.
For that, we'll start with the social control task.
Ending credentialism means affirmative action will become less harmful, and you can be more confident that your doctor is qualified rather than someone who replaced a qualified person in the pipeline.
Without credentialism, women's ability to select on educational credentials will be impaired, and they'll have to make better judgments.
Men aiming to leverage credentialism in the dating market in their favor will lose that edge, too. But that's good, because it's a lousy edge.
It has to do with Justice Jackson's comments that when Black newborns are delivered by Black doctors, they're much more likely to survive, justifying racially discriminatory admissions.
We now know the study contained fraud🧵
The original article claimed that, when Black babies are attended to by Black physicians, their infant mortality rates decline substantially relative to when they have a White physician.
Justice Jackson cited this in the Supreme Court, even though it was implausible.
A few months back, we learned that the original finding was driven by the authors failing to include a required control variable.
Not only that, but they seemingly knew they this variable was important.
Prior to the fall of the Iron Curtain, markets in Eastern Europe were remarkably inefficient.
After its fall, market reforms occurred, and after they took place, they went from less efficient firms capturing larger market shares to the opposite: more efficient firms dominated!
The thesis is this:
America's stock markets are set up in a way that, incidentally, promotes more efficient firms capturing larger market shares.
There's not yet enough data to know if this is true, but time will tell if this possibility holds up.