Comment by Terr_

3 hours ago

Normally we'd reject the first 37% [0] of candidates and then pick the next one that is above the average, but if all the unluckiest candidates show up first, then we need to sample even more in order to get an accurate baseline.

This may be compounded by the the "Teela Brown" problem [1], where some candidates may be too lucky to end up with our company, causing them to appears later in the stream or not-at-all.