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Regression Toward the Mean

The statistical tendency that for any event where luck or probability plays a role, the extreme outcomes are followed by outcomes closer to the actual average.

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Origin

Discovered by Francis Galton in the 1880s while studying the heights of parents and children. He found that exceptionally tall parents tend to have children closer to average height — and vice versa. Galton called this “regression towards mediocrity.” The insight extends far beyond heredity: a record-breaking sports season is typically followed by a more ordinary one, not because of decline, but because extreme outcomes include a large dose of luck.

Updated February 22, 2026