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 original source for the Medline p-values explicitly compared the distributions in the abstracts and full-texts.
They found that there was a kink such that positive results had excess lower-bounds above 1 and negative results had excess upper-bounds below 1.
They then explicitly compared the distributional kinkiness from Medline to the distributions from an earlier paper that was similar to a specification curve analysis.
That meant comparing Medline to a result that was definitely not subject to p-hacking or publication bias.
I got blocked for this meager bit of pushback on an obviously wrong idea lol.
Seriously:
Anyone claiming that von Neumann was tutored into being a genius is high on crack. He could recite the lines from any page of any book he ever read. That's not education!
'So, what's your theory on how von Neumann could tell you the exact weights and dimensions of objects without measuring tape or a scale?'
'Ah, it was the education that was provided to him, much like the education provided to his brothers and cousins.'
'How could his teachers have set him up to connect totally disparate fields in unique ways, especially given that every teacher who ever talked about him noted that he was much smarter than them and they found it hard to teach him?'
This study also provides more to differentiate viral myocarditis from vaccine """myocarditis""", which again, is mild, resolves quickly, etc., unlike real myocarditis.
To see what it is, first look at this plot, showing COVID infection risks by time since diagnosis:
Now look at risks since injection.
See the difference?
The risks related to infection hold up for a year or more. The risks related to injection, by contrast, are short-term.
This analysis falls flat when you look into these people or think about how so many other "vons" were not as brilliant.
Von Neumann's brilliance preceded formal education and any tutoring. His advanced math tutor noted that he was smarter than him from their first meeting!
First thing's first: Most studies agree that rent controlled units have lower rents, but also the supply of rentable units goes down and un-controlled units see their rents increase.
Uh-oh!
Rent control also means that fewer homes get built, and it means that housing quality drops.
After all, if you can't raise the rent, what incentive do you have to make everything sparkly and neat?
Rent control lowers residential mobility, meaning people stay put longer
That's not good because it causes misallocation
Consider an elderly family whose kids left the nest. They should move to a smaller place, but rent control keeps them in place, so new families can't move in
I have actually had people thank me for getting them on this stuff precisely because they had inflammation issues that these drugs *immediately* solved for them.
Here's an example I've posted before: this man's back pain was cured!