Strategy & Portfolio
Survivorship Bias
The logical error of focusing only on successful outcomes while ignoring the many failures, distorting perceived probabilities.
Survivorship bias in venture capital is the tendency to study only successful companies and funds while ignoring the far more numerous failures. This distorts perceived success rates, makes strategies seem more effective than they are, and can lead to faulty pattern matching. Industry data itself suffers from survivorship bias as failed funds are less likely to report performance to benchmarking databases.
In Practice
Studying only unicorn founders and concluding that dropping out of Stanford is a success strategy ignores the thousands of dropouts whose startups failed. The 'successful dropout' narrative is survivorship bias.
Why It Matters
Survivorship bias leads to overconfidence in VC returns, flawed pattern matching in investment decisions, and unrealistic expectations for founders. Recognizing this bias improves decision-making quality.
Related Concepts
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