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Naïve optimality: Subjects' heuristics can be better motivated than experimenters' optimal models
16 references·4 citing·38 second hop
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References

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  • 1987Confirmation, disconfirmation, and information in hypothesis testing.2,095 cited
  • 1956On a Measure of the Information Provided by an Experiment1,507 cited
  • 1996Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty1,295 cited
  • 1981Can human irrationality be experimentally demonstrated?1,224 cited
  • 1994A rational analysis of the selection task as optimal data selection.1,054 cited
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  • 1980On estimating the diagnosticity of eyewitness nonidentifications.291 cited
  • 2003Fast, frugal, and rational: How rational norms explain behavior179 cited

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  • 2004Normative Models of Judgment and Decision Making148 cited
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    • 2013Children’s sequential information search is sensitive to environmental probabilities80 cited
    • 2016Approach-induced biases in human information sampling12 cited
    • 2014Evidence evaluation: Measure Z corresponds to human utility judgments better than measure L and optimal-experimental-design models.11 cited
    • 2013Insensitivity and Oversensitivity to Answer Diagnosticity in Hypothesis Testing5 cited