Earlier quoted context omitted.
Think of the problem from Google's perspective though. At some point, you have tens of thousands of candidates and you need a system to quantify how good they are. Further, it's reasonable to have false negatives (people you don't hire that should have been hired) but really bad to have false positives (people that you hire that you should not have). Together, these boil down into the de facto whiteboarding interview…
This has got to be the biggest hiring fallacy I've ever heard. "It's better to reject a good candidate than hire a bad candidate." That's completely false, and anyone who says that is completely ignorant of Bayesian logic. Here are some simple numbers. Suppose that a "good" candidate is a 1-in-100 find. Suppose that a "bad" candidate has a 1% chance of tricking you into hiring them anyway. Every time you pass on a "g…
A bad hire can easily cause more friction than if nobody was hired at all. Net effect for the business is negative. You're also probably severely overestimating the likelihood of a bad hire going through.