Modelling Probability Judgements that Violate Binary Complementarity (Familiar Situation Check)

Open Science Framework 2026 Open access

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Authors: Yitong Lin, Joakim Sundh, Nick Chater A, Aidan Tee, Adam N. Sanborn
DOI: 10.17605/osf.io/mhby7
Cited by: 0

Abstract

We examine whether eliciting probability judgements of two exclusive and exhaustive events in a high-knowledge environment leads to systematic violations of binary complementarity. We ask participants to produce several responses per observation, mimicking the experimental paradigms used in sampling-focused experiments.

Fields of Study & Subjects

Decision-Making and Behavioral Economics Bayesian Modeling and Causal Inference Categorization perception and language

Publication details

Journal / source
Open Science Framework
Publication date
1 January 2026