Survivorship bias occurs when we focus only on the "winners" that survived a selection process while ignoring those that failed. This creates a dangerously optimistic view of reality.
Survivorship bias leads us to overestimate success rates because we only see the survivors. In investing, this manifests when:
The key formula for calculating the probability of survival over time:
P(survival) = (annual survival rate)number of years
Where:
This simulation shows how focusing only on surviving funds dramatically overstates average performance. The reality includes many more failures that disappear from the data.