Perhaps Asians apply less frequently to schools with no or lower requirements. In fact, HBCUs on average have lower thresholds and very little Asian enrollment. I think it's like 1%. HBCUs are only a subset of such schools.
That does not explain why the difference in average MCAT scores also exists for individual schools like Duke. Schools don't generally publish such race-level data, but we have them for Duke because of a recent investigation.
Carolina Journal said:
For the 2024-25 admissions cycle, HHS said 3.3% of white applicants and 3.4% of Asian applicants were admitted to the medical school, compared with 10% of black applicants and 6.7% of Hispanic applicants.
The agency also pointed to differences in average Medical College Admission Test (MCAT) scores among admitted students. Black students admitted during that cycle had an average MCAT score in the 87th percentile, and Hispanic students averaged in the 89th percentile, compared with the 97th percentile for white students and 98th percentile for Asian students.
The agency also said it asked Duke to explain differences in MCAT scores and grade-point averages among racial groups, but did not receive a responsive explanation.
From
here.
_Some_ Asians are foreigners who can only apply to a few elite schools. This is not true for the AN/NA cohort.
"Non-U.S. Citizen and Non-Permanent Resident" is actually a separate AAMC category, which means that Russians, Chinese, Nigerians and Colombians on student visas are not included in the white, Asian, black and Hispanic categories, respectively.
Perhaps Asians more often would not want to go to a safety school, but would rather go into pharma, biotech, biomedical engineering etc. We use acceptance rates and matriculant rates as the same, but Stanley Zhong shows one can get accepted but not go.
Pure speculation that this differs by race to any significant extent.
Perhaps less Asians show willingness to participate in missions to work in underserved communities. Examples: tribal areas/reservations.
There are underserved communities everywhere. Rural Appalachia, swamps of Louisiana (straight from True Detective!), Atlanta hood.
And it is again pure speculation that fewer (not less, Asians are countable!) Asians engage in such activities.
None of this is intended to state there are no issues of discrimination against Asians. Just that it is an assumption that all or most of the observed differences are due to discrimination.
Med schools are not even denying that they engaged in racial preferences prior to the SCOTUS decision. Did they change their practices, or are simply hiding it behind things like "mission fit"? I think that if they really had stopped discriminating by race, then the characteristics of their admitted classes, and the characteristic of AAMC data overall, should change significantly.
ETA: So perhaps it is also true that Harvard, Yale, and a few other medical schools use race to adjust admission criteria/scores and a majority of medical schools do not do that.
A lot of "perhaps".
First, the Duke example is interesting, but it doesn't prove your broader point for a few reasons. (1) Perhaps Duke
did engage in discrimination--single data points and outliers certainly exist. (2) However, to genuinely demonstrate discrimination, you have to look at the holistic adcom scoring. It is typical for investigating agencies to only publicize the specific data points (like MCAT scores) that support their probable cause for criminal charges or preponderance of evidence for civil, while publicly withholding the rest of the application data that the defending entity might use. (3) The Duke data actually highlights
why we cannot simply extrapolate from MCAT means. As
Jimmy Higgins pointed out, nationally we observe a rough correlation where acceptance rates increase alongside increasing MCAT scores across racial cohorts. Duke is an anomaly: the acceptance rates for Asians and Whites are actually lower than that of Blacks. This outlier underscores exactly why multi-variate analysis is necessary, and why merely pointing at a difference in MCAT means is statistically inadequate.
Next, regarding foreign applicants and how the AAMC tracks them, you've made a factual error. Take a close look at the AAMC data, specifically the MCAT tables. Directly above the list of races, the columns are merged under the header: "All Applicants (Regardless of Citizenship and Permanent Residency Status)."
I understand the mistake, as I initially made it too due to popular narratives that slice up racial data without looking at the fine print. You can easily confirm that foreigners are embedded in the race counts with basic arithmetic: sum the counts left-to-right from NA/AN to Race/Ethnicity Unknown, and you get the Total Applicants. Then, sum the US Citizens + Permanent Residents + Non-US Citizens/Non-Permanent Residents, and you get the exact same Total Applicants number. The point is not moot. It is real data, and there is only one logical conclusion.
Additionally, the mean MCAT for these non-citizen/non-resident applicants is 507.5, which is higher than the overall US citizen/permanent resident average and much closer to the White (508.0) and Asian means than other racial cohorts (example: Black 498.1). It is highly plausible that there is disproportionate representation of Asians, MENA, and Whites within this cohort. Because foreign applicants face massive institutional barriers, they are a deprioritized group for most medical schools, which is why their acceptance rate is abysmal (roughly 228/2020 or ~11.3%). Embedding a group with high MCAT scores but extremely low acceptance rates into the racial aggregates introduces significant noise at a minimum, and heavy statistical skews at a maximum.
As for your claim about underserved communities, simply asserting they are "everywhere" is hyperbole used to handwave away a plausible variable. I never claimed there are zero people of a certain demographic working in these communities either; I pointed out they participate at different rates. A study was already submitted to this thread demonstrating exactly this: Native American medical doctors showed the highest rates of participation in these communities, while Asian medical doctors showed the lowest. The inference that where one student demographic eventually will (want to) work as a medical doctor will show up in aggregate trends is reasonable. So, this plausible variable as it applies to aggregates absolutely still stands.
Looking at your remaining points, let's review how this discussion has actually unfolded. Your core assumption relies on posting a graph of MCAT means differences and effectively saying, "Aha! That proves a prevalent culture of discrimination." Jimmy Higgins countered by showing that, nationally, acceptance rates generally scale with MCAT means. I have repeatedly demonstrated that significant confounding variables drive this variation.
You have been unreasonably dismissive of these variables, even when hard data (like the AAMC table math, the underserved community study or data described in other posts) shows otherwise. Specific instances of discrimination might be one cause of variation among many. However, you cannot submit a single-variable graph and conclude it is the
vast majority reason for those differences, especially when ignoring the multivariate reality of admissions.