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<p>^It is how the cookie crumbles, and that’s exactly the kind of dynamic that was going on at Duke when Rachel Toor wrote the (depressing) book, College Confidential. “Bright and well-rounded” coincided with “white upper-middle-class suburban” – students with such similar academic+e.c. profiles as to be interchangeable for admission purposes. In addition, if they had the problem of clustering (large numbers of them applying from the same region or regions to the same single university), she was unable to admit large numbers of them, despite their “qualifications.” Without something compelling in their essays, their letters of recommendation, or something else, she was unable to distinguish among them. So she began to look for those distinguishers. Thus, someone of that group who wrote an original or risky essay would be given a longer look by her and more consideration. That white student would be “preferred” over the other, more similar white students. Was she ‘discriminating’? Not against whites for being white – especially if she chose a different white. </p>
<p>This is another problem with not having the data. There’s nothing to compare against, including positively. All you have is guesses, or knowledge, about particulars who have been rejected. You do not know who from that same racial/ethnic group has been accepted from that ‘overly rejected’ region/school, etc.</p>
<p>However (back to Duke), it was undeniably clear that if there were a number of points of similarity between yourself as an applicant and the large number of BWRK’s from your area, you would be, in the larger scheme of things, “disadvantaged,” “discriminated against,” etc., due to the proportionality (math) operative in admissions sorting. Unless your achievement was in a distinctly different category of achievement from your local peers – you were a historian, creative writer, budding international relations expert – whereas they were mostly mathematicians, scientists, and economists – then it was going to be difficult for you to stand out, due also to the short time admissions officers have to read these app materials. </p>
<p>Every category of college applicant competes more within its own category than with any different category, due (again) to the proportionality which is being sought. The more different categories and the more sought-after categories you are lucky enough to be a member of, the higher your chances of admission to that particular institution, and the reverse is true. Population clustering, combined with category-of-achievement clustering, combined with financial profile clustering, combined with personal origin clustering, combined with proceeding from a huge field to a narrow funnel, will disadvantage students who have several points of common identity with that cluster.</p>