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  1. The desirability bias in predictions under aleatory and epistemic uncertainty.Paul D. Windschitl, Jane E. Miller, Inkyung Park, Shanon Rule, Ashley Clary & Andrew R. Smith - 2022 - Cognition 229 (C):105254.
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  • The skeptical import of motivated reasoning: A closer look at the evidence.Maarten van Doorn - 2023 - Thinking and Reasoning 1 (1):1-31.
    Central to many discussions of motivated reasoning is the idea that it runs afoul of epistemic normativity. Reasoning differently about information supporting our prior beliefs versus information contradicting those beliefs, is frequently equated with motivated irrationality. By analyzing the normative status of belief polarization, selective scrutiny, biased assimilation and the myside bias, I show this inference is often not adequately supported. Contrary to what’s often assumed, these phenomena need not indicate motivated irrationality, even though they are instances of belief-consistent information (...)
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  • Hoping for more: The influence of outcome desirability on information seeking and predictions about relative quantities.Aaron M. Scherer, Paul D. Windschitl, Jillian O’Rourke & Andrew R. Smith - 2012 - Cognition 125 (1):113-117.
  • Wishful thinking in the prediction of competitive outcomes.Paul C. Price - 2000 - Thinking and Reasoning 6 (2):161 – 172.
    In each of two experiments, college students were assigned to two ad hoc groups that competed in a dart-throwing contest. On each trial, one contestant from each team threw a single dart at a standard dart board, trying to come as close as possible to hitting the bull's-eye. Also on each trial, the other participants judged the likelihood that both the Team A contestant and the Team B contestant would come closer to hitting the bull's-eye. In both experiments, participants exhibited (...)
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  • The production and perception of randomness.Raymond S. Nickerson - 2002 - Psychological Review 109 (2):330-357.
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  • Exploiting risk–reward structures in decision making under uncertainty.Christina Leuker, Thorsten Pachur, Ralph Hertwig & Timothy J. Pleskac - 2018 - Cognition 175 (C):186-200.
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  • Estimating the probability of negative events.Adam J. L. Harris, Adam Corner & Ulrike Hahn - 2009 - Cognition 110 (1):51-64.
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  • Outcome-desirability bias in resource management problems.Mathias Gustafsson, Anders Biel & Tommy Garling - 1999 - Thinking and Reasoning 5 (4):327 – 337.
    Sequences of numbers representing prior resource size were presented to participants in a common-pool resource dilemma. The numbers were sampled from uniform probability distributions with either a low variance (low resource uncertainty) or a high variance (high resource uncertainty). Presentations were both sequential and simultaneous. Three groups of 16 undergraduates either estimated the size of the resource when it did not represent value to them; requested an amount from the resource, identified with a sum of money, when the outcome of (...)
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