Illusory Correlation
People can overestimate an association when events are distinctive, expected or remembered selectively, without checking all of the underlying combinations.
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Illusory Correlations: A Simple Associative Algorithm Provides a Convergent Account of Seemingly Divergent Paradigms
Research-assisted source review
- What it supports
- Expected pairings can gain a processing advantage, while infrequent or unexpected events can become distinctive; both can exaggerate subjective correlation under different conditions.
- Where it may not transfer
- The associative model is one integrative explanation rather than a universal causal account. Reviewed tasks vary and do not yield one interface-ready effect size.
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