Survivalship bias is something I deal with on a day to day basis. When I am analyzing a dataset (in my case investments) I have to keep in mind that it does not include those that have flunked out. Not doing so can cause huge gaps in understanding of the sample relative to the population. This illustrates it perfectly, thought others would find it interesting.