Survivorship bias
Core pattern
Visible successes dominate because failures are absent from the evidence set.
Ask: Who tried the same path and vanished from view?
Compare Biases
Survivorship Bias vs Base Rate Neglect
Survivorship bias samples only visible winners; base-rate neglect ignores the background frequency needed to interpret a case.
Base rate neglect
Core pattern
A vivid case description overwhelms the prior probability or population rate.
Ask: What is the rate before this specific evidence updates it?
Why people mix them up
Both lose the denominator, but they lose it differently.
Quick rule
Ask whether the missing information is failed cases from the sample or background rates for the whole inference.
Diagnostic questions
Use these before deciding which label should carry the lesson.
Are we studying only the winners?
Do we have the full starting cohort?
What prior probability should frame the case-specific evidence?
Mini cases
The same surface area can point to different underlying mechanisms.
Survivorship bias
Business advice is drawn only from companies that survived.
Why: Failed companies are missing from the sample.
Base rate neglect
A personality sketch overwhelms the fact that one role is far more common in the applicant pool.
Why: The background frequency is ignored during inference.
Repair Move
Change the process, then choose the label.
Recover the full cohort first, then apply the relevant base rate before updating on case details.
Study the entries
Use the comparison as a bridge into the fuller pages.
Survivorship bias
The tendency to learn from the visible winners while overlooking the invisible failures that dropped out of view.
Hypothesis AssessmentOutcomeResearch & evidenceForecasting & planning
Base-rate neglect
The tendency to underweight general prevalence information when vivid case-specific details are available.
EstimationBaselineResearch & evidenceForecasting & planning