Wikipedia defines survivorship bias as
the logical error of concentrating on the people or things that made it past some selection process and overlooking those that did not, typically because of their lack of visibility. This can lead to false conclusions in several different ways. It is a form of selection bias.
The concept of survivorship bias was new to me until a doctoral student with whom I am working on yet another paper on contract farming–the economic institution wherein a processing firm delegates the production of an agricultural commodity to grower households–brought it to my attention when we discussed Ton et al.’s (2018) excellent meta-analysis of the impacts of contract farming, in which the authors report that published estimates of the impacts of participation in contract farming on household welfare are “… upward biased because contract schemes that fail in the initial years are not covered by research.”
At first, I thought this was a pretty important empirical issue. But after thinking about it for a few days, survivorship bias struck me as only important for some applications, but not for others.