Crémieux Profile picture
Sep 16, 2024 14 tweets 4 min read Read on X
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🧵 Image
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. Image
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. Image
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. Image
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. Image
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)

Third thing:

(A) Black babies with high birthweights disproportionately go to Black doctors;

(B) The Black babies sent to White doctors disproportionately have very low birthweights. Image
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:Image
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.Image
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.

To learn more and to find the article linked, check out my post on this: cremieux.xyz/p/missing-fixe…

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More from @cremieuxrecueil

Jan 14
About a decade ago, a theory emerged:

If men do more of the housework and child care, fertility rates will rise!

Men have been doing increasingly large shares of the housework and child care.

Fertility is lower than ever.Image
In fact, they're doing more in each generation, but fertility has continued to fall. Image
The original claim, that men's household work would buoy fertility, was based on cross-sectional data that was inappropriately given a causal interpretation.

The updated cross-sectional data is as useful, and it affords no assurances about the original idea.

We should move on.
Read 4 tweets
Jan 13
American military veterans have a suicide problem.

Some have theorized the reason is deployment-related trauma.

Leveraging the random assignment of new soldiers to units with different deployment cycles, Bruhn et al. found that was wrong.

Deployment did not increase suicides. Image
Looking only at violent deployments (ones with peer casualties), there aren't noncombat mortality effects either.

What explains veteran suicide rates? Image
The reason seems to be that the proposition is wrong: veterans do not have increased suicide risk.

This may seem surprising, but it's not!

Their suicide rates are elevated over the general population because most of them are young White men. That group has a suicide issue. Image
Read 8 tweets
Jan 12
That aspect is probably not that unrealistic, unfortunately.

Across the OECD, on average, just 55% of 15-to-16-year-olds got this question right, and no country saw 80% get it.

Most people globally *do* struggle even reading simple tables. What else?

Thread.🧵 Image
That table-reading question is "Level 3", which, amazingly, corresponds to an already-high level of ability, by global standards.

This is a simpler Level 1 question, but with this, 92% of the OECD got it, including just 65% of Brazilians and 53% of Peruvians. Image
Level 2!

Just 77% of the OECD got this, with less than half of the Mexican population being up to the task.

In fact, only Asian countries got over 90% on this trivial question. Image
Read 9 tweets
Jan 10
Credit card rewards are a great way to redistribute billions of dollars from people who are bad with money to people who are good with it.

With the advent of rewards cards (red), there's lots of cross-subsidization of people with high credit scores by people with low scores. Image
Curiously, the degree of cross-subsidization is not just an income thing.

People with high incomes (green) and moderate incomes (yellow) take fewer rewards at low credit scores, although they take more at high credit scores. Image
What does this do demographically? Spatially?

Credit card rewards transfer money from uneducated to educated, poor to rich, Black to White, and rural to urban. Image
Read 5 tweets
Jan 7
The host of NPR's This American Life once tried to raise a pit bull with his now ex-wife.

He let the dog ruin his life🧵

He ended up getting it on Prozac and Valium, feeding it kangaroo and ostrich, and making excuses for the many times it would attack people.Image
Ira Glass' wife had a dog before they got married, but it died right before the ceremony.

That dog was a pit bull and it was a rescue, so they decided it would be good to rescue another one.

Per him, it originally came with the "slave name" Marley, which he changed to Piney. Image
Shortly after taking him home, Piney seemingly developed severe allergies to whatever he was eating.

So, Ira and his wife got him set up with a doctor. In fact, they got him set up with four doctors.

And they started spending more time cooking for the dog than for themselves. Image
Read 18 tweets
Jan 5
Pit bulls were bred to fight.

Animals in nature are not like that. Tigers and lions? They don't seek out combat. Nature doesn't seem to want to breed them into unrelenting killers.

This is why Britain banned the sport of "lion baiting"🧵 Image
The nature of "baiting" is torment.

The idea is to put large, powerful animals like bulls or lions in the ring with several dogs, and the winner lives.

The sport has existed for thousands of years. One of our first records is of Indians showing it to Alexander the Great. Image
The first record in England comes from 1610 and features King James I requesting the Master of the Beargarden—a bear training facility—to provide him with three dogs to fight a lion.

Two of the dogs died and the last escaped because the lion did not wish to fight and retreated. Image
Read 18 tweets

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