Young children are not sensitive to graded probablistic information.
People tend to search information of the more attractive option.
The adaptive toolbox literature includes an unreasonable compensatory model.
Model comparison studies should include reasonable competitor models.
People follow Bayesian principles in subjective coherence assessment.
Evidence accumulated by eye fixations can predict choices and reactions times in donation and product decisions.
Replication rates of leading research are low.
Single-mechanism accounts predict process and choice data in probabilistic decision making better than multi-mechanism accounts.
People use base rates and discrimination rates of cues to infer cue-values.
Coherence-based artificial network-models can mimic Bayesian decision making.