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Randomperson's comments seemed so odd to me, that I looked into it, re-reading the "Early Admissions Game", then quizzing one of the authors, who I happen to know.</p>
<p>In fact, the statistics for 1600-scorers shown in Table 5.2 on page 160 are for actual 1600 scorers, as shown in the survey data.</p>
<p>Randomperson may be confused by the fact that the study DID attempt to normalize for other factors (recruited athlete, legacy status, etc) in calculating the odds of admission, both early and regular, for applicants with the same SAT score.
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My memory was wrong, but this statement is also incorrect. I checked the book out of the library, and the data on page 160 is absolutely not from actual 1600-scorers. Just read the explanation on page 159, which I copy verbatim:
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To refine our figures, we estimated the chances of admissions for a hypothetical male applicant who is approximately average within the survey in terms of activities and high school attended, and who has no other distinguishing characteristics. We assess the prospects of this average student four times, giving him four different sets of test scores varying from 650 to 800 on each of five SAT tests (the SAT-1 verbal and math, and three SAT-2 subject tests).
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In other words, these are strictly estimated chances (which you would have realized had you read the caption right above the table). The authors took a male who was average in every sense outside test scores and endowed him with several different sets of scores, then estimating his chances. Unforunately, the results don't entirely reflect reality. There are quite a few applicants who are "average" in every way but test scores, and these are precisely the kinds of high-scoring applicants that elite schools reject (just take a look around this site).</p>
<p>My sense is that these estimated chances were meant to be demonstrative - meant to prove a point about the difference between early and regular admissions, not to pin down the chances of hypothetical applicants. Since the nuances of regression analysis are too cloudy for many people to appreciate, the authors also presented us with a more compelling chart with predicted chances. These numbers don't, however, give us an accurate perception of how 1600s fare.</p>
<p>And to Mr. Fairbanks: first, thank you for writing this book. It is a valuable expos</p>