What is Survivorship Bias?
We often hear success stories from people who do something risky like business and learn new things. This inspires us to do the same thing as the characters in the story. However, we forget that many people have done the same thing as this character but failed and we may be part of those people who failed. This is called survivorship bias. Survivorship bias is a logical error that occurs when someone focuses on those who succeed while ignoring those who fail. This bias can lead to inaccurate assessments or analyses because it need to take into account information from those who failed.
During World War II, British statistician Abraham Wald was tasked with analyzing damage to aircraft returning from missions to strengthen protection. Returning planes showed damage in certain areas, and many argued for reinforcing these damaged areas. However, Wald realized that the analysis ignored non-returning planes, which may have been damaged in areas not visible on the returning planes. So, he suggested reinforcing undamaged parts of returning planes, as planes hit in those areas might not make it back.
There are several steps you can take to avoid survivorship bias. Such as collecting and analyzing data from those who failed and succeeded, analyzing all influencing variables and the reasons why these variables can influence the results, studying other people's failure cases and how to avoid failure.
Comments
Post a Comment