>

Clicked Gallery

What is survivorship bias?

Highlighted from a real textbook passage. Explained by Clicked.

Used in a sentence

University Course Reader · STEM

Critics argued the fund industry's performance claims suffered from survivorship bias, since failed funds vanish from the averages.

The reader highlighted one term — in an article or a paper PDF. Clicked made the statistics term “survivorship bias” easy to understand:

Explained in three depths

Same facts, different vibe — Slang mode 😎

Formal definition — The same term, explained the usual way

Survivorship bias is a form of selection bias in which analysis is restricted to entities that passed a survival or persistence filter, while those eliminated along the way are absent from the dataset, biasing estimates of performance, durability, or risk upward. Documented instances include mutual fund databases that exclude closed funds, clinical studies affected by participant attrition, and inferences from historical artifacts, which necessarily overrepresent durable items. Mitigations include reconstructing the full initial cohort, tracking dropouts explicitly, and intention-to-treat analysis in trials.

Want Clicked to explain terms like “survivorship bias” directly in your browser — including on PDFs?

Add to Chrome — Free

50 free Explanations · No credit card required