Audit person-judgments for prototype substitution
Check whether a judgment about a person is based on their actual behavior or on resemblance to a type.
Why it works
The representativeness heuristic underpins stereotyping: a person is assigned the traits of the group they resemble, regardless of individual evidence. This is cognitively efficient — group base rates are often real — but it misfires when group variance is high, when the individual is atypical, or when the "group" is a cultural stereotype rather than an empirical category. Deliberately auditing for prototype substitution ("Am I seeing this person or their template?") activates individuating-information processing.
How to do it
- When forming an impression of a person, write down the specific behaviors or statements you observed.
- Ask: "Would I hold this judgment if the person fit a different prototype?"
- Identify whether your conclusion follows from their individual evidence or from group membership.
- Seek one individuating data point that is inconsistent with the prototype to test the flexibility of your judgment.
Evidence
Research on individuation (Locksley et al., 1980; Kunda & Thagard, 1996) shows that providing individuating behavioral information can override stereotype-based judgments, but only when that information is concrete and unambiguous. (observational)
Stereotypes often encode real statistical patterns; the problem is treating them as certainties about individuals rather than probabilistic base rates. This practice corrects overconfidence, not the use of base rates.
Sources
- Locksley, Borgida, Brekke & Hepburn (1980), Sex stereotypes and social judgment, Journal of Personality and Social Psychology
Common mistake
Seeking individuating information but then discounting it when it doesn’t fit the prototype ("they’re just an exception"), which is the representativeness heuristic reasserting itself.
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More practices for The Representativeness Heuristic — Judging by Resemblance
- Look up base rates before forming a resemblance judgment
Before deciding "this looks like X," ask how common X actually is in the relevant population.
- Identify which features are actually diagnostic
Separate features that genuinely differentiate categories from ones that just complete the picture.
- Recognize that random sequences don’t "owe" balance
Random processes have no memory — a run of heads doesn’t make tails more likely.
- Treat small samples with explicit skepticism
A short sequence can look representative without being statistically reliable — adjust confidence for sample size.
- Expect extreme results to regress toward average
Unusually good or bad performance predicts more average performance next time — account for this before giving praise or blame.
- Name the prototype you’re comparing against before deciding
Make the prototype you’re using as a reference explicit — hidden templates bias decisions without scrutiny.