I am clearly not a statistician. So you believe that no low scoring Asian or white students are admitted to universities and grad programs?
No, some are, but they have a much lower chance of admission than a similarly-scoring Black or Latino student. The more 'marginal' (ie low scoring), the worse the size of the discrimination -e.g. at a given MCAT/GPA range, an Asian student might have a 5% chance of admission but a Black student might have a 40% chance.
Do you know whether Asian and white prospective students apply to more or fewer different programs compared with black students or Hispanic students? If students from a particular group, say: left handed red heads--applied to, on average, say 12 schools but right handed red heads applied to 4 schools, would you expect he right handed and left handed red heads have similar rates of acceptance? Assume normal distribution of grades, scores for the stated acceptance criteria of the caliber of schools.
I don't know how many schools on average are applied for by each kind of student. Whether and how that would affect acceptance rates depends on what kind of students tend to apply to more or fewer schools.
It is mathematically possible that there is no discrimination by any individual institution, and Asians have simply applied at more prestigious institutions, in which case a higher rejection rate could be expected. This could, at an outside stretch, explain some of the apparent discrimination in the medical schools admissions data. But it's very improbable, and the data are more parsimoniously explained by a de-facto 'quota' for low-achieving groups which means discrimination against people from the high-achieving groups. It is no mistake that the worst chances of admission at a given grade/aptitude score is for the highest achieving group -- Asians.
In California, when race was banned as a selection criterion, the Asian cohort increased.
Do you believe that test scores/grades within one standard deviation actually are predictive of different levels of academic achievement?
Within one standard deviation? Absolutely. The single best prediction of future academic performance is past academic performance.
Imagine an experiment where an institution took in everyone who was exactly half a standard deviation above the mean, and everyone who was half a standard deviation below the mean, and no-one else. I would eat my hat if the average performance a year later of the half-standard-above group was not greater than the performance of the half-standard below group.
(Individuals would deviate from their group averages, obviously, but overall it would show the pattern).
But I've never claimed that non-grade/non-aptitude selection criteria should not be used. I've only ever claimed that whatever criterion you use should be empirically defensible and be related to performance. I've also said I find it staggeringly unlikely that Black and Latino students are so far ahead of Whites and Asians on these non-grade/non-aptitude criteria that it was differences in these criteria, and not racial discrimination, that could explain the differential admission rates.
