This is Nassim Taleb's “Surgeon Paradox”: “If you're choosing between two surgeons of equal merit, choose the one who DOESN'T look the part, because they had to overcome more to get to where they are.”
So now if you have to choose between an Asian doctor and an African American one, you'd have to be pretty foolish to pick the African American one. In the 80s, I would have totally believed the African American doctor must be amazing to make it through. Now we know he was possibly let into medschool with scores that would have gotten an Asian doctor rejected.
>The magnitude of Systemic Antiracism in medical school admissions: A black applicant with a 3.2–3.39 GPA and a 24–26 MCAT had almost a ten times greater chance of admission than an Asian-American with the same scores.
I don't know about studies on actual patient outcomes, but there are good data WRT admissions, which I think is relevant to OP's point about overcoming obstacles.
The story is exactly the opposite of the one that you're telling!
We first found out that GPA and GRE scores mean nothing. Neither GPA nor GRE scores are predictive of grad school performance!
Same with LSAT. It has no predictive validity for your quality as a lawyer. Just about 0.5% of your abilities as a lawyer are related to your LAST score. (not 50%, less than 1%) https://www.alanet.org/legal-management/2023/february/column...
MCAT scores are a bit more predictive, but only in the stupidest way. Very low MCAT scores are very predictive that you will be terrible and fail out. MCAT is only predictive at the bottom, above the lowest 25% of scores, all MCAT scores are the same.
We don't have a good way of scoring people to get them into these positions. So instead of blindly following a score that we know is meaningless, we try to have some equity of opportunity in society. And, we try to make sure that people have doctors, scientists, etc. that they feel comfortable with and that represent their communities too.
And anyway, since when does someone have to be the same race as you to be part of the same community?
And how many Asians do you think are in that quartile? So they were right, given that choice go with the Asian, thanks to affirmative action we know they are less likely to be in the bottom and therefore less likely to be terrible.
I’m skeptical of these claims because I’ve heard similar things about the SATs, but: https://news.mit.edu/2022/stuart-schmill-sat-act-requirement...
This is a very poor source - an article from a company with no explanation of their method of determining "success" for lawyers.
When you select a population by a criteria the selection itself eliminates the correlation.
So for example if you only accept high LSAT scores to be lawyers you should expect to find LSAT scores to be largely uncorrelated-- the correlation has already been removed. In fact, you may find it be be _inversely_ correlated because the parties with weaker scores that still made it through had other things going for them that made them successful. And this is true even if the test performance is HIGHLY predictive considering the whole population.
And this is clearly true: if nothing else LSAT tests the ability to understand written English and the kinds of basic logical reasoning that are absolutely required in the law. There are some people who do poorly at those tasks and would score very poorly at the LSAT, and would be huge liabilities if they became lawyers.
Now, perhaps those low performers would be filtered out by other criteria ultimately (say the bar exam) and so the LSAT may be redundant in that sense (except for saving huge costs and time for people who would ultimately flunk out...).
All that said, it's common for tests to get overweighed because they're the number we have. Would you prefer the lawyer that has the 5pt higher LSAT score but never worked a case like your vs one who successfully handles them all the time? Obviously the latter! but many other predictors are often not available and ones that are available are often not reducible to numbers or are situation specific.
In any case reasoning from post selected statistics has produced some disastrous decisions in business. Sadly, most people are not in the position to conduct a controlled study most of the time and so the stats you get are always tainted by post-selection effects.
I know someone whose work conducted basic coding tests on applicants. They found that scores on the test didn't predict performance (or were even somewhat anti-predictive: the people who nailed the tests were sometimes fakers who had managed to study for the test). So they eliminated it and then suffered disaster after disaster. The newer hires were generally not as good at their jobs, entirely contrary to the expectations from their prior results.
Holding favored minorities to lower standards has permeated every institution, including medical schools, at every level because people are afraid of being called racist.
"Racist medical school fails african americans at higher rate than asians!" would be the headline and there would be no defense the critical race theory mob would accept.
You have the wrong analogy as well, MCAT is extraordinarily thorough, so instead of evaluating on someone's high school GPA, it would be like evaluating them on an all-day entrance interview on which you evaluate them on their knowledge of software engineering, hardware, various programming languages, and their libraries. And many questions from TAoCP.
> The admission to medical school of Patrick Chavis, one of the black doctors admitted under the medical school's affirmative action program instead of Bakke, was widely praised by many notable parties, including Ted Kennedy, the New York Times, and the Nation. As an actual medical doctor, Chavis's many actions of incompetence and negligence were broad and widespread. The large number of patients that he harmed, the amount of pain and suffering that he caused, the video recordings of his many major mistakes, the huge number of malpractice lawsuits against him, and the eventual loss of his medical license, were all reported by the media.
https://en.m.wikipedia.org/wiki/Regents_of_the_University_of...
First % is from upper income families, second is from lower, Asian has better representation from lower income families than any other racial group among med students.
> Asian: RI, 2.3 [21.7% vs 9.5%];
> Black: RI, 5.3 [9.1% vs 1.7%];
https://jamanetwork.com/journals/jamanetworkopen/fullarticle...
It's like trying to find the fastest sprinter using a race but some of kids are wearing heavy backpacks and some aren't. How do you find the actual fastest sprinters?
I don't know if this was necessarily ever true, diversity quotas or not. It's a marketing narrative that "feels" good (which is how they get you) but I've always gotten the impression that minority candidates are more likely to take extreme risks to make a name for themselves. The west has never really valued craftsmanship as much as we value showmanship.
It was Ben Carson's "illustrious" career that put me off the idea of blindly choosing the underdog; he and Josef Mengele must have taken the same ethics class. Nobody can say shit about the black surgeon who fucks up high-risk, experimental surgeries-- after all, he had to work so hard to get to where he is.
Dr. Roxy too. I was disappointed to learn she wasn't actually a cocaine-addicted clown, but she's had her medical license revoked nonetheless.
A 95th percentile scoring black student raised in the projects with no societal or peer pressure to succeed, could be just as successful as a 99th percentile Asian student raised in a distraction-free, parental-pressured and peer-pressured environment.
In fact, maybe the black student could be better suited to handle the stressful study and work period that medical interns go through.
And that's just the medical field. There's plenty of stories of tech companies and technologies being built by people that weren't high academic overachievers.
There are usually plenty other criteria available to base decisions on with available medical practitioners. I find it’s usually a pretty good idea to not get smart with doctors, and I take the one that shows up.
As for medical admissions, I’ve spent a good few years working collaborating with surgeons. And good grades, like looks, are a distant starting point for such people. Not one particularly relevant to one’s ability to navigate the actual decision making in job or the long-winding process of actually getting to that point.
Personally, I find it much more useful to simply look up whether a doctor is recently pursuing medical publications or research in their work. That’s usually a hallmark of someone who is actually up to date about their specialty outside of daily practice. Just like a dev with an active GitHub page or side projects is better than someone who scored well on their SAT’s to get into a CS program because dad told them to.
And sorry but no, flawed institutional policies somewhere out there don’t make a racist reaction any less racist. It is what it is.
Any organization that does zero virtue signalling but still nonetheless have women working in substantial positions strongly suggests they're genuinely an enlightened organization and/or found lots of way above average candidates somehow.
For any organization that does some amount of signalling, no strong inferences can be made on either direction.
For any organization that signals 24/7, a pretty strong inference can be made in the opposite direction.
We do have quite a few women working for us in significant positions but female applicants for developer positions specifically are still extremely rare.
In addition, she is likely to pay fucking attention. It's well documented that female doctors tend to do things like follow checklists and prodcedure instead of just half-assing it.
Every single specialist female surgeon I have dealt with has been way above average. The male surgeons have been a mixed bag. Some good--some not so much.