Look, the bottom line is that companies optimize for false negatives. In order to achieve a high accuracy rate, [tests must have exceptionally low false positive rates](https://www.math.hmc.edu/funfacts/ffiles/30002.6.shtml), just based on stats. I won't work out the math for you—you sound like you're perfectly capable of plugging numbers into bayes theorem—but that implies that even very good engineers are likely to get false negative rejections at many companies. It does not mean, however, that those companies are necessarily judging you based on unfair criterion, and I don't thin it's fair, thoughtful, or mature to indicate otherwise—(especially because some of my strongest coworkers at Uber are from less prestigious schools in the midwest...)