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Usability & InteractionMember ingredient

Illusory Correlation

People can overestimate an association when events are distinctive, expected or remembered selectively, without checking all of the underlying combinations.

Public evidence overview

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Checked source previewAcademic paper

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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