Tags: MentalModels DataScienceJournal Statistics101
From Wikipedia:
Survivorship bias or survival bias is the logical error of concentrating on entities that passed a selection process while overlooking those that did not. This can lead to incorrect conclusions because of incomplete data.
For example, one could focus on 10 good qualities that apparently successful people have, and neglect the 1 quality that is overbearing in those who fail, and which one quality is present in ourself abundantly.