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  1. (1 other version)Judgment under Uncertainty: Heuristics and Biases.Amos Tversky & Daniel Kahneman - 1974 - Science 185 (4157):1124-1131.
    This article described three heuristics that are employed in making judgements under uncertainty: representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value (...)
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  • On the Supposed Evidence for Libertarian Paternalism.Gerd Gigerenzer - 2015 - Review of Philosophy and Psychology 6 (3):361-383.
    Can the general public learn to deal with risk and uncertainty, or do authorities need to steer people’s choices in the right direction? Libertarian paternalists argue that results from psychological research show that our reasoning is systematically flawed and that we are hardly educable because our cognitive biases resemble stable visual illusions. For that reason, they maintain, authorities who know what is best for us need to step in and steer our behavior with the help of “nudges.” Nudges are nothing (...)
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  • Representation facilitates reasoning: what natural frequencies are and what they are not.U. Hoffrage - 2002 - Cognition 84 (3):343-352.
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  • Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty.L. Cosmides - 1996 - Cognition 58 (1):1-73.
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  • How to improve Bayesian reasoning without instruction: Frequency formats.Gerd Gigerenzer & Ulrich Hoffrage - 1995 - Psychological Review 102 (4):684-704.
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  • Conservatism in a simple probability inference task.Lawrence D. Phillips & Ward Edwards - 1966 - Journal of Experimental Psychology 72 (3):346.
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  • Evolutionary modules and Bayesian facilitation: The role of general cognitive resources.Elise Lesage, Gorka Navarrete & Wim De Neys - 2013 - Thinking and Reasoning 19 (1):27 - 53.
    (2013). Evolutionary modules and Bayesian facilitation: The role of general cognitive resources. Thinking & Reasoning: Vol. 19, No. 1, pp. 27-53. doi: 10.1080/13546783.2012.713177.
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  • Why Can Only 24% Solve Bayesian Reasoning Problems in Natural Frequencies: Frequency Phobia in Spite of Probability Blindness.Patrick Weber, Karin Binder & Stefan Krauss - 2018 - Frontiers in Psychology 9:375246.
    For more than 20 years, research has proven the beneficial effect of natural frequencies when it comes to solving Bayesian reasoning tasks (Gigerenzer & Hoffrage, 1995). In a recent meta-analysis, McDowell & Jacobs (2017) showed that presenting a task in natural frequency format increases performance rates to 24% compared to only 4% when the same task is presented in probability format. Nevertheless, on average three quarters of participants in their meta-analysis failed to obtain the correct solution for such a task (...)
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  • On Bayesian problem-solving: helping Bayesians solve simple Bayesian word problems.Miroslav Sirota, Gaëlle Vallée-Tourangeau, Frédéric Vallée-Tourangeau & Marie Juanchich - 2015 - Frontiers in Psychology 6.
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  • Natural frequencies improve Bayesian reasoning in simple and complex inference tasks.Ulrich Hoffrage, Stefan Krauss, Laura Martignon & Gerd Gigerenzer - 2015 - Frontiers in Psychology 6.
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  • The role of representation in bayesian reasoning: Correcting common misconceptions.Gerd Gigerenzer & Ulrich Hoffrage - 2007 - Behavioral and Brain Sciences 30 (3):264-267.
    The terms nested sets, partitive frequencies, inside-outside view, and dual processes add little but confusion to our original analysis (Gigerenzer & Hoffrage 1995; 1999). The idea of nested set was introduced because of an oversight; it simply rephrases two of our equations. Representation in terms of chances, in contrast, is a novel contribution yet consistent with our computational analysis System 1.dual process theory” is: Unless the two processes are defined, this distinction can account post hoc for almost everything. In contrast, (...)
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  • Effects of visualizing statistical information – an empirical study on tree diagrams and 2 × 2 tables.Karin Binder, Stefan Krauss & Georg Bruckmaier - 2015 - Frontiers in Psychology 6.
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