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The Bias Bias in Behavioral Economics

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  • Gigerenzer, Gerd

Abstract

Behavioral economics began with the intention of eliminating the psychological blind spot in rational choice theory and ended up portraying psychology as the study of irrationality. In its portrayal, people have systematic cognitive biases that are not only as persistent as visual illusions but also costly in real life—meaning that governmental paternalism is called upon to steer people with the help of “nudges.†These biases have since attained the status of truisms. In contrast, I show that such a view of human nature is tainted by a “bias bias,†the tendency to spot biases even when there are none. This may occur by failing to notice when small sample statistics differ from large sample statistics, mistaking people’s random error for systematic error, or confusing intelligent inferences with logical errors. Unknown to most economists, much of psychological research reveals a different portrayal, where people appear to have largely fine-tuned intuitions about chance, frequency, and framing. A systematic review of the literature shows little evidence that the alleged biases are potentially costly in terms of less health, wealth, or happiness. Getting rid of the bias bias is a precondition for psychology to play a positive role in economics.

Suggested Citation

  • Gigerenzer, Gerd, 2018. "The Bias Bias in Behavioral Economics," Review of Behavioral Economics, now publishers, vol. 5(3-4), pages 303-336, December.
  • Handle: RePEc:now:jnlrbe:105.00000092
    DOI: 10.1561/105.00000092
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    Cited by:

    1. Pere Mir-Artigues, 2022. "Combining preferences and heuristics in analysing consumer behaviour," Evolutionary and Institutional Economics Review, Springer, vol. 19(2), pages 523-543, September.
    2. Christian Schubert, 2021. "Opportunity meets self-constitution," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 68(1), pages 51-65, March.
    3. Sroka, Wojciech & Bojarszczuk, Jolanta & Satoła, Łukasz & Szczepańska, Barbara & Sulewski, Piotr & Lisek, Sławomir & Luty, Lidia & Zioło, Monika, 2021. "Understanding residents’ acceptance of professional urban and peri-urban farming: A socio-economic study in Polish metropolitan areas," Land Use Policy, Elsevier, vol. 109(C).
    4. Rasim Serdar Kurdoglu & Nüfer Yasin Ateş, 2022. "Arguing to Defeat: Eristic Argumentation and Irrationality in Resolving Moral Concerns," Journal of Business Ethics, Springer, vol. 175(3), pages 519-535, January.
    5. Arkadiusz Sieron, 2020. "Some Problems of Behavioral Economics," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 336-362.
    6. Brighton, Henry, 2020. "Statistical foundations of ecological rationality," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-32.
    7. Ole Peters & Alexander Adamou & Mark Kirstein & Yonatan Berman, 2020. "What are we weighting for? A mechanistic model for probability weighting," Papers 2005.00056, arXiv.org.
    8. Mark Fabian, 2022. "Scale Norming Undermines the Use of Life Satisfaction Scale Data for Welfare Analysis," Journal of Happiness Studies, Springer, vol. 23(4), pages 1509-1541, April.
    9. Pitterle, Claudia, 2022. "Consumer behavior and decision making from officed- based doctors A systematic literature review," MPRA Paper 117730, University Library of Munich, Germany.
    10. Stroh, Tim & Mention, Anne-Laure & Duff, Cameron, 2023. "The impact of evolved psychological mechanisms on innovation and adoption: A systematic literature review," Technovation, Elsevier, vol. 125(C).
    11. Ville A. Satopää & Marat Salikhov & Philip E. Tetlock & Barbara Mellers, 2021. "Bias, Information, Noise: The BIN Model of Forecasting," Management Science, INFORMS, vol. 67(12), pages 7599-7618, December.
    12. Riedl, Anna & Vervaeke, John, 2022. "Rationality and Relevance Realization," OSF Preprints vymwu, Center for Open Science.

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