I have a pretty major update for one of my articles.
It has to do with Justice Jackson's comment that when Black newborns are delivered by Black doctors, they're much more likely to survive, justifying racially discriminatory admissions.
We now know she was wrong🧵
So if you don't recall, here's how Justice Jackson described the original study's findings.
She was wrong to describe it this way, because she mixed up percentage points with percentages, and she's referring to the uncontrolled rather than the fully-controlled effect.
After I saw her mention this, I looked into the study and found that its results all seemed to have p-values between 0.10 and 0.01.
Or in other words, the study was p-hacked.
If you look across all of the paper's models, you see that all the results are borderline significant at best, and usually just-nonsignificant, which is a sign of methodological tomfoolery and results that are likely fragile.
With all that said, I recommended ignoring the paper.
Today, a reanalysis has come out, and it doesn't tell us why the coefficients are all at best marginally significant, but instead, why they're all in the same direction.
The reason has to do with baby birthweights.
So, first thing:
(A) At very low birthweights, babies have higher mortality rates, and they're similar across baby races;
(B) At very low birthweights, babies have higher mortality rates, and they're similar across physician races.
Second thing: Black infants tend to have lower birthweights.
MIxed infants tend to birthweights in-between Blacks and Whites, and there's a mother effect, such that Black mothers have smaller mixed babies than White mothers (selection is still possible)
(A) Black babies with high birthweights disproportionately go to Black doctors;
(B) The Black babies sent to White doctors disproportionately have very low birthweights.
If you control for birthweight when running the original authors' models, two things happen.
For one, they fit a lot better.
For two, the apparently beneficial effect of patient-doctor racial concordance for Black babies disappears:
At this point, we have to ask ourselves why the original study didn't control for birthweight. One sentence in the original paper suggests the authors knew it was a potential issue, but they still failed to control for it.
PNAS also played an important role in keeping the public misinformed because they didn't mandate that the paper include its specification, so no one could see if birthweight was controlled. If we had known the full model details, surely someone would have called this out earlier.
Ultimately, we have ourselves yet another case of PNAS publishing highly popular rubbish and it taking far too long to get it corrected.
Let me preregister something else:
The original paper will continue to be cited more than the correction with the birthweight control.
The public will continue to be misled by the original, bad result. PNAS should probably retract it for the good of the public, but if I had to bet, they won't.
So people like Justice Jackson will continue to cite it to support their case for racial discrimination.
They'll continue doing that even though they're wrong.
The College Board just released this year's SAT scores!
I thought I'd go ahead and put everything in familiar terms and make some plots.
This thread will have a lot of pictures. First up: How did everyone do?
All of the typical race differences are there. Blacks did roughly 15 IQ points worse, Hispanics did about 10 points worse, Asians did similarly better, etc.
If we scale all that by the sizes of the populations who took the tests, we get this:
Another way to look at this data is to stack everyone into a single population, like so:
Innovation is the backbone of modern economic growth, and without the Protestants, we probably wouldn't have it🧵
Consider the period of the Counter-Reformation. During this time, the Catholic Church set science back in the territories it governed:
Before the Counter-Reformation, Catholic and Protestant Europe were on similar scientific trajectories:
They produced comparable numbers of scientists, comparably important intellectuals, and comparable numbers of inventions.
But, seemingly overnight, Catholics started rampaging against intellectualism, and they had a focused impact on scientists, with no appreciable impacts on artists or other types of intellectuals.
Protestantism promoted the separation of Church and Science, so this makes sense.
If you give them a battery of tests built for LLMs or covering topics like U.S. History, you can end up with a model that is unidimensional, much like how human intelligence is:
I previously attempted to fit such a model and was unsuccessful because many LLMs are practically the same person, leading to a fitting failure.
These authors obviated that issue by pruning highly similar LLMs with DBSCAN and other means.
More than thirty countries globally have automatic non-filing options for taxpayers.
Many people claim these help to make the tax system more fair by taking out tax hassle and guesswork.
But German data suggests they might make the tax system less progressive🧵
The first thing to note is that the lower the income, the greater the odds of not filing, with almost 90% of those earning just €10,000 choosing not to file.
At an income of about €50,000, the relationship asymptotes at roughly 30% non-filers.
Another thing to note is that, consistent with the tax system being progressive in general, lower-income individuals are entitled to refunds more often.