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When prospective applicants ask for advice on where to apply, they're usually directed to compare their stats (MCAT & GPA) with the median scores that are accepted to, or matriculate at, any given med school. This is generally good advice. However, two schools with the same median stats can't be equally selective, because at some schools there are more applicants competing for fewer spots.
For example, using public data, and letting the number of matriculants serve as a mediocre relative approximation of the number of accepted applicants:
Rush and Loma Linda both have median MCATs of 31. At Rush, 7701 applicants competed last year for a total of 128 seats (1.66% matriculated). At Loma Linda, fewer applicants (5217) competed for more seats (168) (3.22% matriculated).
Looking at LizzyM profiles alone, Rush and Loma Linda would appear equally selective; however, from these numbers one could argue that an average applicant has double the chance of getting into Loma Linda compared to Rush. (This ignores that some schools are clearly a better "fit" for any given applicant than others, but I'm trying to just crunch numbers right now).
There are a handful of schools that are attractive to many because they have relatively low median stats but are also located in large cities. Notably, George Washington has a median MCAT of only 30, but it gets more applicants than literally any other school. Last year, 14509 applicants vied for 177 spots (1.22%).
Is George Washington therefore perhaps a worse choice for someone trying to play the numbers game than its neighbor Georgetown where, despite a higher average MCAT (32), only 11733 applicants compete for 196 seats (1.67%).
Is this a productive line of reasoning when assessing relative competitiveness and selectivity? Are confounds, notably the variable self-selectivity of schools, too influential to draw anything from the results?
For example, using public data, and letting the number of matriculants serve as a mediocre relative approximation of the number of accepted applicants:
Rush and Loma Linda both have median MCATs of 31. At Rush, 7701 applicants competed last year for a total of 128 seats (1.66% matriculated). At Loma Linda, fewer applicants (5217) competed for more seats (168) (3.22% matriculated).
Looking at LizzyM profiles alone, Rush and Loma Linda would appear equally selective; however, from these numbers one could argue that an average applicant has double the chance of getting into Loma Linda compared to Rush. (This ignores that some schools are clearly a better "fit" for any given applicant than others, but I'm trying to just crunch numbers right now).
There are a handful of schools that are attractive to many because they have relatively low median stats but are also located in large cities. Notably, George Washington has a median MCAT of only 30, but it gets more applicants than literally any other school. Last year, 14509 applicants vied for 177 spots (1.22%).
Is George Washington therefore perhaps a worse choice for someone trying to play the numbers game than its neighbor Georgetown where, despite a higher average MCAT (32), only 11733 applicants compete for 196 seats (1.67%).
Is this a productive line of reasoning when assessing relative competitiveness and selectivity? Are confounds, notably the variable self-selectivity of schools, too influential to draw anything from the results?