That document has a wealth of information in it. Very cool.
I think Chart 16 is the most telling.
The whole linear regression thing, however, is a bit silly.
Unfortunately, in their regression model, the best predictor variable is the number of "contiguous ranks" -- (are there non-contiguous ranks??) -- but isn't this number really a surrogate for how many interviews candidates are getting? Obviously, the more desirable candidates are getting more interviews, and thus ranking more programs. Those who rank 4 or fewer programs have a lower chance of matching, but it's not because they only decide to rank 4 programs; it's because they only interview at 4 programs. However, the NRMP doesn't see this logic and states:
"The principal message of these graphs is that applicants with longer rank order lists are more successful than those with shorter ones. The NRMP has been recommending longer list for many years, but many applicants apparently do not heed the advice."
Having the number of interviews be the #1 predictor variable is poor. Most people want to know what their chance of matching in a specialty is BEFORE they apply. This is like not knowing how sucky the odds of winning are until after I spend my entire paycheck on
lotto tickets. Not very helpful.
Anyway... The point is, if anyone actually computes an odds ratio to predict their chance of matching, they should be slapped. And then slapped again ... with a Cerrobend
gauntlet.