Lets clear up some things about:
- race
- social constructs
- biological constructs
- sociological causation
- biological causation
- predictive accuracy
A thread. 1/n
Let's say X predicts Y. This doesn't mean X is in any way causally related to Y. Therefore, if I say "X predicts Y", it doesn't mean I'm saying "X causes Y". So in particular, if I say race predicts a health outcome, this doesn't mean race caused that outcome. 2/n
The next thing we should talk about is causation. Sociological causation involves entities from a sociological framing of the world. Biological causation involves constructs that originate out of a biological framework. 3/n
From a biology perspective, race is not directly observable. We don't see it explicitly in the genes. From a sociology perspective, people clearly take actions based on racial assumptions and that's visible in their behavior patterns (who people marry, have kids with, and so on).
Who people have kids with is both a sociological and a biological phenomenon. It is directly observable using the tools of biology. In this way, purely sociological phenomena (such as race) can have biologically detectable outcomes on a biological construct (like ancestry). 5/n
Finally, if you're sympathetic to argument that racism causes race and that's why we see disparities, then the most reasonable interpretation of that claim is that race is part of the causal path to these disparities. If "racism" is a cause of the disparity then so is "race". 6/n
Let me repeat this because I think it's an important point. How can a racist person or system act on racial categories without first being aware of those categories on which they must act? Therefore, racism causes disparity by acting *through* the race construct. 7/n
In conclusion:
1. Saying "racism causes a health disparity" and "race predicts a health disparity" is not the same thing.

2. Saying "Race causes health disparities" shouldn't be interpreted as always meaning that the causation is biological.
3. If "racism" is predictive of a health disparity then most likely "race" will be predictive of that health disparity as well. Again, this doesn't necessarily mean there's causation and if there is causation, it doesn't necessarily mean that the causation is biological.
I know it seems like I'm being really pedantic. I'm not. I'm fun at parties. I swear. Most people don't need this level of conceptual clarity about causation but if you want to make sense of what data can teach us about these issues then you need to understand this stuff. 10/n
Hope you enjoyed this thread! Feel free to retweet and like the thread so others can enjoy it as well. I tweet a lot about the kinds of things that we can learn from data. Follow me if you want to see more of this kind of content! 11/11

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More from @kareem_carr

10 Jul
Speaking as a black statistician, I don't think we can completely eliminate using race in medical decisions if we want to make the best decisions for each patient given our current state of technology. Gene testing for specific ancestry would be better but we aren't there yet.
Leaving out race can have a lot of unintended consequences. Algorithms might default to the standard of care for the largest group. This means treating everybody as if they are white which would be problematic in many cases.
Alternatively, algorithms may relearn race from the data. They will use family history, geography and other demographic variables to guess the race. This can be tricky to detect if you aren't looking for it. "Racist" algorithms get released to the public all the time.
Read 9 tweets
5 Jul
As a response to the rightwing, some academics are pushing for a world where scientists are above social criticism.

Critiquing the motivations and behaviors of scientists isn't anti-science. It's democracy.

A thread.
I frequently see academics imply it's morally wrong or anti-science to tweet negative things about them and their field. This is somewhat understandable. Who wouldn't want to live in a world where it was morally wrong to criticize us and our work?
I guess it's possible a mean tweet could hurt a field's reputation but so what? Tweeting mean things about Pepsi could cause Pepsi to be less popular and Pepsi employees to lose their jobs. That doesn't mean tweeting mean stuff about Pepsi is morally wrong.
Read 11 tweets
4 Jul
Folks have been bashing this mentorship program because of Google’s recent track record of what some might call “anti-blackness” but it doesn’t seem like most folks read the materials. I did and I have concerns. 🧵👇🏾
Look at this. They say they will “desk reject”, as in not even READ your application, if it’s not max 2 pages, 8.5” by 11”, Times New Roman font, 1” margins, single spaced, in PDF format. This is more stringent than a grad school application and probably quite a few term papers.
What else will they desk reject for? Including your contact information. That’s right. They will not even consider your application if it has your name in it.
Read 8 tweets
30 Jun
Folks seem to think that Charles Murray's arguments are just about the black-white IQ gap being genetic. They're not. The gap in IQ between receptionists and doctors is much bigger than the black-white IQ gap. His arguments imply that's genetic too!
His views imply that if you choose 1000 doctors and 1000 receptionists at random and analyze them genetically, you will find systematic genetic differences between both groups and these genetic differences hugely pre-determined their cognitive abilities and life outcomes.
Murray's arguments don't just imply that blacks are genetically limited (on average). They imply that if you or someone you know didn't do well on the SAT for instance then more likely than not, it's largely because of genetically pre-determined cognitive limitations.
Read 5 tweets
27 Jun
In my opinion, this plot represents one of the MOST important facts about American society today. The white population has a huge extra hump of older people that other demographics don't have.
I think that hump could explain why there's so much fear around how America is "changing". The younger generation is more mixed so the normal intergenerational conflict is perhaps being magnified by the fact that the younger generation doesn't "look like" the older generation.
I suspect age contributes to racial differences in politics in two ways. The first is obvious. Young people have different wants and needs from older people. So it matters that whites are proportionally so much older.
Read 9 tweets
20 Jun
"The cognitive demands of those jobs mean a lot more white people qualify than black people."

This video is full of misuses of statistics! A thread. 🧵👇

1. First of all. CORRELATION IS NOT CAUSATION. As a statistician, I'm contractually obligated to let you know that these patterns that he's talking about are all correlations. They are not proof of causation.
2. An IQ difference of 12 points is NOT "a lot". The distribution of IQ and the distribution of human height are very similar. They follow what's called a bell curve. So, we can get an intuition for IQs by thinking about heights which we are typically more familiar with.
Read 24 tweets

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