Survivorship bias is a logical error that occurs when focusing on the survivors or successful cases without considering those that did not make it. In the context of cancer, this bias can significantly skew our understanding of treatment efficacy, survival rates, and overall patient experiences. Survivorship bias can lead to overly optimistic conclusions if we only look at those who have survived cancer, ignoring the experiences and outcomes of those who did not.
