Glossary

Category Size Bias

Published 1 min read

What is Category Size Bias?

Category size bias is a probability-judgment error in which an outcome seems more likely because it belongs to a larger category, even though its own objective probability is unchanged.

Isaac and Brough (2014) report five experiments on this effect. In one, participants judged their lottery ticket more likely to win when its color matched many other tickets, although the color grouping did not change the ticket's actual chance.

Why Category Size Can Mislead

The crucial comparison holds the individual outcome's probability constant. A larger category can legitimately contain more total probability; the error is transferring that larger total to one member. A useful question is: are you judging the whole group, or one item within it?