> I ran this analysis on people whom we decided to interview rather than on every applicant; roughly out 9 out of 10 applicants were screened out before the fi

> I ran this analysis on people whom we decided to interview rather than on every applicant; roughly out 9 out of 10 applicants were screened out before the first round. Although the author acknowledges this will taint the results, it seems like a major filter especially when you are crafting rules for screening by non-engineers. For example, the results for "Offer Likelihood as a Function of Highest Degree Earned" could shift quite a bit if those with higher degrees were basically passed through the first cut. Why not run a subset of the analysis using the full set of applicants?