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Published online by Cambridge University Press: 28 September 2023
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- The Intelligence of Intuition , pp. 154 - 171Publisher: Cambridge University PressPrint publication year: 2023
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Aad, G., Abbott, B., Abdallah, J., Abdinov, O., Aben, R., Abolins, M., … Zwalinski, L. (2015). Combined measurement of the Higgs boson mass in pp collisions at root s=7 and 8 TeV with the ATLAS and CMS experiments. Physical Review Letters, 114, 191803.Google Scholar
Abrahamsen, D. (1946). The mind and death of a genius. New York: Columbia University Press.Google Scholar
Admati, A., & Hellwig, M. (2013). The bankers’ new clothes. Princeton, NJ: Princeton University Press.Google Scholar
Arie, S. (2013, March 21). Uruguay’s mandatory breast cancer screening for working women aged 40–59 challenged. British Medical Journal, 346.Google Scholar
Ariely, D. (2008). Predictably irrational: The hidden forces that shape our decisions (1st ed.). New York: Harper Collins.Google Scholar
Aristotle, . (350 BCE/1984). History of animals. In Barnes, J. (Ed.), The complete works of Aristotle (Vol. 1, rev. Oxford transl.). Princeton, NJ: Princeton University Press.Google Scholar
Arkes, H. R., Gigerenzer, G., & Hertwig, R. (2016). How bad is incoherence? Decision, 3, 20–39.Google Scholar
Arshad, A., Anderson, B., & Sharif, A. (2019). Comparison of organ donation and transplantation rates between opt-out and opt-in systems. Clinical Investigation, 95, 1453–1460.Google Scholar
Artinger, F. M., Artinger, S., & Gigerenzer, G. (2019). C.Y.A.: Frequency and causes of defensive decisions in public administration. Business Research, 12, 9–25.Google Scholar
Artinger, F. M., & Gigerenzer, G. (2016). The cheap twin: From the ecological rationality of heuristic pricing to the aggregate market. Academy of Management Proceedings, 2016, 13915.Google Scholar
Artinger, F. M., Gigerenzer, G., & Jacobs, P. (2022). Satisficing: Integrating two traditions. Journal of Economic Literature, 60(2), 598–635.Google Scholar
Bago, B., & De Neys, W. (2019). The smart System 1: Evidence for the intuitive nature of correct responding on the bat-and-ball problem. Thinking & Reasoning, 25, 257–299.Google Scholar
Bargh, J. A., & Morsella, E. (2008). The unconscious mind. Perspectives on Psychological Science, 3, 73–79.Google Scholar
Beilock, S. L., Bertenthal, B. I., McCoy, A. M., & Carr, T. H. (2004). Haste does not always make waste: Expertise, direction of attention, and speed versus accuracy in performing sensorimotor skills. Psychonomic Bulletin & Review, 11(2), 373–379.Google Scholar
Berg, N., & Gigerenzer, G. (2007). Psychology implies paternalism? Bounded rationality may reduce the rationale to regulate risk-taking. Social Choice and Welfare, 28, 337–359.Google Scholar
Berg, N., & Gigerenzer, G. (2010). As-if behavioral economics: Neoclassical economics in disguise? History of Economic Ideas, 18, 133–165.Google Scholar
Binet, A. (1911). Nouvelles recherches sur la mesure du niveau intellectuel chez les enfants d’école [New studies on the measurement of schoolchildren’s intellectual levels]. L’Année Psychologique, 17, 145–201. (Cited in Wolf, Trans., 1973, pp. 209–210)Google Scholar
Binet, A., & Simon, T. (1914). Mentally defective children (W. B. Drummond, Trans.). London: Edward Arnold.Google Scholar
Binet, A., & Simon, T. (1905/1973). The development of intelligence in children (E. S. Kite, Trans.). New York: Arno Press. (Original work published 1905; English translation first published 1916)Google Scholar
Blum, J. (1978). Pseudoscience and mental ability: The origins and fallacies of the IQ controversy. New York: Monthly Review Press.Google Scholar
Bramhall, S. (2011). Presumed consent for organ donation: A case against. Annals of the Royal College of Surgeons of England, 93, 268–272.Google Scholar
Brennen, J. S., Howard, P. N., & Nielsen, R. K. (2018, December). An industry-led debate: How UK media cover artificial intelligence. Factsheet. London: Reuters Institute for the Study of Journalism. Retrieved October 25, 2022, https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2018-12/Brennen_UK_Media_Coverage_of_AI_FINAL.pdfGoogle Scholar
Brighton, H., & Gigerenzer, G. (2015). The bias bias. Journal of Business Research, 68, 1772–1784.Google Scholar
Browning, C. R. (1998). Ordinary men: Reserve Battalion 101 and the final solution in Poland. New York: Harper Perennial.Google Scholar
Bruch, E. E., & Newman, M. E. J. (2018). Aspirational pursuit of mates in online dating markets. Science Advances, 4(8), eaap9815.Google Scholar
Bruner, J. S. (1973). Beyond the information given: Studies on the psychology of knowing. New York: Norton.Google Scholar
Brunswik, E. (1955). Representative design and probabilistic theory in a functional psychology. Psychological Review, 62, 193–217.Google Scholar
Burger, J. M. (2009). Replicating Milgram: Would people still obey today? American Psychologist, 64, 1–11.Google Scholar
Byron, M. (Ed.). (2004). Satisficing and maximizing: Moral theorists on practical reason. Cambridge, UK: Cambridge University Press.Google Scholar
Calaprice, A. (2011). The ultimate quotable Einstein. Princeton, NJ: Princeton University Press.Google Scholar
Carson, J. (2007). The measure of merit: Talents, intelligence, and inequality in the French and American republics. Princeton, NJ: Princeton University Press.Google Scholar
Chater, N., & Oaksford, M. (Eds.). (2008). The probabilistic mind: Prospects for Bayesian cognitive science. Oxford: Oxford University Press.Google Scholar
Chater, N., Tenenbaum, J. B., & Yuille, A. (2006). Probabilistic models of cognition: Conceptual foundations. Trends in Cognitive Sciences, 10, 335–344.Google Scholar
Christensen-Szalanski, J. J., & Beach, L. R. (1984). The citation bias: Fad and fashion in the judgment and decision literature. American Psychologist, 39(1), 75–78.Google Scholar
Cicero, M. T. (45 BC/2012). De finibus bonorum et malorum libri quinque. Vol. 3. Rev. by Reid, J. S.. Nabu Press.Google Scholar
Cokely, E. T., & Felz, A. (2014). Expert intuition. In Osbeck, L. M. & Held, B. S. (Eds.). Rational intuition. Cambridge, UK: Cambridge University Press.Google Scholar
Collett, T. S., & Land, M. F. (1975). Visual control of flight behavior in the hoverfly, Syritta pipiens L. Journal of Comparative Physiology, 99, 1–66.Google Scholar
Commission of the European Communities (2007, May 30). Organ donation and transplantation: Policy actions at EU level. Impact assessment. Press Release No. IP/07/718. Retrieved October 25, 2022, http://europa.eu/rapid/pressReleasesAction.do?reference=IP/07/718&format=HTML&aged=1&language=EN&guiLanguage=enGoogle Scholar
Cosmides, L. (1989). The logic of social exchange: Has natural selection shaped how humans reason? Studies with the Wason selection task. Cognition, 31, 187–276.Google Scholar
Cosmides, L., & Tooby, J. (2008). Can deontic logic capture the facts of human moral reasoning? In Sinnott-Armstrong, W. (Ed.), Moral psychology: Vol 1. The evolution of morality: Adaptations and innateness (pp. 53–119). Cambridge, MA: MIT Press.Google Scholar
Csikszentmihalyi, M. (2008). Flow: The psychology of optimal experience. New York: Harper Perennial.Google Scholar
Daniel, C., & Palmer, M. (2007, May 27). Google’s goal: To organise your daily life. Financial Times. Retrieved October 24, 2022, www.ft.com/content/c3e49548-088e-11dc-b11e-000b5df10621Google Scholar
Darwin, C. (1871/1981). The descent of man. Princeton, NJ: Princeton University Press.Google Scholar
Darwin, C. (1893). The variation of animal and plants under domestication (Vol. I, 2nd ed.). London: Murray.Google Scholar
Daston, L. (2017). The immortal archive: Nineteenth-century science imagines the future. In Daston, L. (Ed.), Science in the archives: Pasts, presents, futures (pp. 159–182). Chicago, IL: University of Chicago Press.Google Scholar
Dawes, R. M., & Mulford, M. (1996). The false consensus effect and overconfidence: Flaws in judgment, or flaws in how we study judgment? Organizational Behavior and Human Decision Processes, 65, 201–211.Google Scholar
Deary, I. J., Whalley, L. J., & Starr, J. M. (2009). A lifetime of intelligence. Follow-up studies of the Scottish mental survey of 1932 and 1947. Washington, DC: American Psychological Association.Google Scholar
DeMiguel, V., Garlappi, L., & Uppal, R. (2009). Optimal versus naive diversification: How inefficient is the 1/N portfolio strategy? Review of Financial Studies, 22, 1915–1953.Google Scholar
Denny, M. (2004). The physics of bat echolocation: Signal processing techniques. American Journal of Physics, 72, 1465–1477.Google Scholar
Dhami, M. K. (2003). Psychological models of professional decision-making. Psychological Science, 14, 175–180.Google Scholar
Diehl, L. A. (1986). The paradox of G. Stanley Hall: Foe of coeducation and educator of women. American Psychologist, 41(8), 868–878.Google Scholar
Dörfler, V., & Eden, C. (2019). Understanding “expert” scientists: Implications for management and organizational research. Management Learning, 50, 534–555.Google Scholar
Dury, M. O’C. (1984). Some notes on conversations with Wittgenstein: Recollections of Wittgenstein. Oxford: Oxford University Press.Google Scholar
Easton, C. (2018). Women and “the philosophical personality”: Evaluating whether gender differences in the Cognitive Reflection Test have significance for explaining the gender gap in philosophy. Synthese, 198, 1–29.Google Scholar
Edwards, W., Lindman, H., & Phillips, L. D. (1965). Emerging technologies for making decisions. In New directions in psychology II (pp. 261–325). New York: Holt, Rinehart and Winston.Google Scholar
Egidi, M., & Marengo, L. (2004). Near-decomposability, organization, and evolution: Some notes on Herbert Simon’s contribution. In Augier, M. & March, J. J. (Eds.), Models of a man: Essays in memory of Herbert A. Simon (pp. 335–350). Cambridge, MA: MIT Press.Google Scholar
Erev, I., Wallsten, T. S., & Budescu, D. V. (1994). Simultaneous over- and underconfidence: The role of error in judgment processes. Psychological Review, 101, 519–527.Google Scholar
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363–406.Google Scholar
Evans, J. St. B. T., & Stanovich, K. E. (2013). Dual-process theories of higher cognition: Advancing the debate. Perspectives on Psychological Science, 8, 223–241.Google Scholar
Fischer, A. H., Kret, M. E., & Broekens, J. (2018). Gender differences in emotion perception and self-reported emotional intelligence. PLoS ONE, 13, e0190712.Google Scholar
Fiske, A. P. (1992). The four elementary forms of sociality: Framework for a unified theory of social relations. Psychological Review, 99(4), 689–723.Google Scholar
Ford, D., Easton, D. F., Bishop, D. T., Narod, S. A., & Goldgar, D. E. (1994). Risk of cancer in BRCA1-mutation carriers. Lancet, 343, 692–695.Google Scholar
Fox, A. M., Himmelstein, G., Khalid, H., & Howell, E. A. (2019). Funding of abstinence-only education and adolescent pregnancy prevention: Does state ideology affect outcomes? American Journal of Public Health, 109, 497–504.Google Scholar
Frederick, S. (2005). Cognitive reflection and decision making. Journal of Economic Perspectives, 19, 25–42.Google Scholar
Friston, K. (2010). The free-energy principle: A unified brain theory? Nature Reviews Neuroscience, 11(2), 127–138.Google Scholar
Gal, D., & Rucker, D. D. (2018). The loss of loss aversion: Will it loom larger than its gain? Journal of Consumer Psychology, 28, 497–516.Google Scholar
Gambetta, D. (1996). The Sicilian Mafia: The business of private protection. Cambridge, MA: Harvard University Press.Google Scholar
Geddes, P., & Thomson, J. A. (1890). The evolution of sex. New York: Scribner & Welford.Google Scholar
German Federal Government (Bundesregierung). (n.d.). Retrieved October 24, 2022, www.bundesregierung.de/breg-de/themen/wirksam-regierenGoogle Scholar
Gigerenzer, G. (1996). On narrow norms and vague heuristics: A reply to Kahneman and Tversky. Psychological Review, 103, 592–596.Google Scholar
Gigerenzer, G. (2002). Calculated risks: How to know when numbers deceive you. New York: Simon & Schuster. (UK edition: Reckoning with risk: Learning to live with uncertainty. London: Penguin, 2002.)Google Scholar
Gigerenzer, G. (2004a). The irrationality paradox. Behavioral and Brain Sciences, 27, 336–338.Google Scholar
Gigerenzer, G. (2004b). Striking a blow for sanity in theories of rationality. In Augier, M. & March, J. G. (Eds.), Models of a man: Essays in memory of Herbert A. Simon (pp. 389–409). Cambridge, MA: MIT Press.Google Scholar
Gigerenzer, G. (2007). Gut feelings: The intelligence of the unconscious. London: Penguin.Google Scholar
Gigerenzer, G. (2008). Moral intuition = Fast and frugal heuristics? In Sinnott-Armstrong, W. (Ed.), Moral psychology: Vol 2. The cognitive science of morality: Intuition and diversity (pp. 1–26). Cambridge, MA: MIT Press.Google Scholar
Gigerenzer, G. (2010). Moral satisficing: Rethinking moral behavior as bounded rationality. Topics in Cognitive Science, 2, 528–554.Google Scholar
Gigerenzer, G. (2014b). Breast cancer screening pamphlets mislead women: All women and women’s organisations should tear up the pink ribbons and campaign for honest information. British Medical Journal, 348, g2636.Google Scholar
Gigerenzer, G. (2015). On the supposed evidence for libertarian paternalism. Review of Philosophy and Psychology, 6, 363–383.Google Scholar
Gigerenzer, G. (2018). The bias bias in behavioral economics. Review of Behavioral Economics, 5(3–4), 303–336.Google Scholar
Gigerenzer, G. (2019). Expert intuition is not rational choice. Review of Sources of Power by Gary Klein, 20th Anniversary Edition. American Psychologist, 132, 475–480.Google Scholar
Gigerenzer, G. (2021a). What is bounded rationality? In Viale, R. (Ed.), Routledge handbook of bounded rationality (pp. 55–69). London: Routledge.Google Scholar
Gigerenzer, G. (2022a). How to stay smart in a smart world: Why human intelligence still beats algorithms. Cambridge, MA: MIT Press.Google Scholar
Gigerenzer, G. (2022b). Simple heuristics to run a research group. PsyCH Journal, 11, 275–280.Google Scholar
Gigerenzer, G. (2022c). The idea of a peculiarly female intelligence: A brief history of bias masked as science. In Sternberg, R. & Preiss, D. (Eds.), Intelligence in context: The cultural and historical foundations of human intelligence. New York: Palgrave-Macmillan.Google Scholar
Gigerenzer, G. (2022d, June 23). A devil’s advocate in every lab would drive better science. Times Higher Education, www.timeshighereducation.com/opinion/devils-advocate-every-lab-would-drive-better-scienceGoogle Scholar
Gigerenzer, G., & Brighton, H. (2009). Homo heuristicus: Why biased minds make better inferences. Topics in Cognitive Science, 1, 107–143.Google Scholar
Gigerenzer, G., Fiedler, K., & Olsson, H. (2012). Rethinking cognitive biases as environmental consequences. In Todd, P. M., Gigerenzer, G., & the ABC Research Group, Ecological rationality: Intelligence in the world (pp. 80–110). Oxford: Oxford University Press.Google Scholar
Gigerenzer, G., & Gaissmaier, W. (2011). Heuristic decision making. Annual Review of Psychology, 62, 451–482.Google Scholar
Gigerenzer, G., Gaissmaier, W., Kurz-Milcke, E., Schwartz, L. M., & Woloshin, S. (2007). Helping doctors and patients to make sense of health statistics. Psychological Science in the Public Interest, 8, 53–96.Google Scholar
Gigerenzer, G., Galesic, M., & Garcia-Retamero, R. (2014). Stereotypes about men’s and women’s intuitions: A study of two nations. Journal of Cross-Cultural Psychology, 45, 62–81.Google Scholar
Gigerenzer, G., & Goldstein, D. G. (2011). The recognition heuristic: A decade of research. Judgment and Decision Making, 6, 100–121.Google Scholar
Gigerenzer, G., Hertwig, R., & Pachur, T. (Eds.). (2011). Heuristics: The foundations of adaptive behavior. Oxford, UK: Oxford University Press.Google Scholar
Gigerenzer, G., & Hoffrage, U. (1995). How to improve Bayesian reasoning without instruction: Frequency formats. Psychological Review, 102, 684–704.Google Scholar
Gigerenzer, G., Hoffrage, U., & Kleinbölting, H. (1991). Probabilistic mental models: A Brunswikian theory of confidence. Psychological Review, 98, 506–528.Google Scholar
Gigerenzer, G., & Hug, K. (1992). Domain-specific reasoning: Social contracts, cheating, and perspective change. Cognition, 42, 127–171.Google Scholar
Gigerenzer, G., Mata, J., & Frank, R. (2009). Public knowledge of benefits of breast and prostate cancer screening in Europe. Journal of the National Cancer Institute, 101, 1216–1220.Google Scholar
Gigerenzer, G., Multmeier, J., Föhring, A., & Wegwarth, O. (2021). Do children have Bayesian intuitions? Journal of Experimental Psychology: General, 50, 1041–1070. doi:10.1037/xge0000979Google Scholar
Gigerenzer, G., Reb, J., & Luan, S. (2022). Smart heuristics for individuals, teams, and organizations. Annual Review of Organizational Psychology and Organizational Behavior, 9(1), 171–198.Google Scholar
Gigerenzer, G., & Regier, T. (1996). How do we tell an association from a rule? Comment on Sloman (1996). Psychological Bulletin, 119, 23–26.Google Scholar
Gigerenzer, G., Todd, P. M., & the ABC Research Group. (1999). Simple heuristics that make us smart. Oxford: Oxford University Press.Google Scholar
Gilovich, T., Vallone, R., & Tversky, A. (1985). The hot hand in basketball: On the misperception of random sequences. Cognitive Psychology, 17, 295–314.Google Scholar
Gladwell, M. (2007). Blink: The power of thinking without thinking. New York: Back Bay Books.Google Scholar
Godfrey-Smith, P. (2016). Other minds: The octopus and the evolution of intelligent life. New York: Harper Collins.Google Scholar
Goldstein, D. G., & Gigerenzer, G. (2002). Models of ecological rationality: The recognition heuristic. Psychological Review, 109, 75–90.Google Scholar
Goris, H. (2012). Angelic knowledge in Aquinas and Bonaventure. In Hoffmann, T., (Ed.), A companion to angels in medieval philosophy (pp. 149–185). Leiden: Brill.Google Scholar
Gøtzsche, P. C., & Jørgensen, K. J. (2013). Screening for breast cancer with mammography. Cochrane Database of Systematic Reviews (6), CD001877.Google Scholar
Gould, S. J., & Vrba, E. S. (1982). Exaptation – a missing term in the science of form. Paleobiology, 8, 4–15.Google Scholar
Grant, R. A., Mitchinson, B., Fox, C., & Prescott, T. J. (2009). Active touch sensing in the rat: Anticipatory and regulatory control of whisker movements during surface exploration. Journal of Neurophysiology, 10(2), 862–874.Google Scholar
Grice, H. P. (1989). Studies in the way of words. Cambridge, MA: Harvard University Press.Google Scholar
Grill, M., & Hackenbroch, V. (2014, July 20). Unsinn in bester Qualität [Highest-quality nonsense]. Der Spiegel, 100–104.Google Scholar
Hahn, U., & Warren, P. A. (2009). Perceptions of randomness: Why three heads are better than four. Psychological Review, 116, 454–461.Google Scholar
Hahn, U., & Warren, P. A. (2010). Why three heads are better than four: A reply to Sun, Tweney, and Wang (2010). Psychological Review, 117, 706–711.Google Scholar
Haidt, J. (2001). The emotional dog and its rational tail: A social intuitionist approach to moral judgment. Psychological Review, 108, 814–834.Google Scholar
Haidt, J. (2013). The righteous mind: Why good people are divided by politics and religion. London: Penguin.Google Scholar
Haidt, J., & Kesebir, S. (2008). In the forest of value: Why moral intuitions are different from other kinds. In Plessner, H., Betsch, C., & Betsch, T. (Eds.), Intuition in judgment and decision making. New York: Erlbaum.Google Scholar
Haldane, A. G., & Madouros, V. (2012). The dog and the Frisbee. Proceedings of the 36th Economic Policy Symposium, Jackson Hole, Wyoming (pp. 109–159). Federal Reserve Bank of Kansas City.Google Scholar
Hall, G. S. (1904/1976). Biological and anthropological differences between the sexes. In Lee, P. C. & Stewart, R. S. (Eds.), Sex differences (pp. 371–379). New York: Urizen Books.Google Scholar
Halpern, D. F. (2012). Sex differences in cognitive abilities (4th ed.). Hillsdale, NJ: Erlbaum.Google Scholar
Halpern, D. F., & Wai, J. (2020). Sex differences in intelligence. In Sternberg, R. J. (Ed.), The Cambridge handbook of intelligence (2nd ed., pp. 253–272). Cambridge, UK: Cambridge University Press.Google Scholar
Hamann, H. (2022), On getting it right by being wrong: A case study of how flawed research may become self-fulfilling at last. Proceedings of the National Academy of Sciences, 119(15), e2122274119.Google Scholar
Hamlin, R. P. (2017). “The gaze heuristic”: Biography of an adaptively rational decision process. Topics in Cognitive Science, 9, 264–288.Google Scholar
Hauser, M. (2006). Moral minds: How nature designed our universal sense of right and wrong. New York: Ecco.Google Scholar
Henriksen, D. (2016). The rise of co-authorship in the social sciences (1980–2013). Scientometrics, 107, 455–476.Google Scholar
Hertwig, R., Davis, J. N., & Sulloway, F. J. (2002). Parental investment: How an equity motive can produce inequality. Psychological Bulletin, 128(5), 728–745.Google Scholar
Hertwig, R., & Gigerenzer, G. (1999). The “conjunction fallacy” revisited: How intelligent inferences look like reasoning errors. Journal of Behavioral Decision Making, 12, 275–305.Google Scholar
Hertwig, R., & Grüne-Yanoff, T. (2017). Nudging and boosting: Steering or empowering good decisions. Perspectives on Psychological Science, 12, 973–986.Google Scholar
Hertwig, R., Herzog, S. M., Schooler, L. J., & Reimer, T. (2008). Fluency heuristic: A model of how the mind exploits a by-product of information retrieval. Journal of Experimental Psychology: Learning, Memory, and Cognition, 34, 1191–1206.Google Scholar
Hertwig, R., Hoffrage, U., & the ABC Research Group. (2013). Simple heuristics in a social world. Oxford: Oxford University Press.Google Scholar
Hertwig, R., Pachur, T., & Kurzenhäuser, S. (2005). Judgments of risk frequencies: Tests of possible mechanisms. Journal of Experimental Psychology: Learning, Memory & Cognition, 31, 621–642.Google Scholar
Herzog, S. M., & Hertwig, R. (2013). The ecological validity of fluency. In Unkelbach, C. & Greifeneder, R. (Eds.), The experience of thinking: How the fluency of mental processes influences cognition and behaviour (pp. 190–219). New York: Psychology Press.Google Scholar
Hirsch, S., & Hirsch, A. (2011). The beauty of short hops: How chance and circumstance confound the moneyball approach to baseball. Jefferson, NC: McFarland & Co.Google Scholar
Hoffman, J. R., & Kanzaria, H. K. (2014). Intolerance of error and culture of blame drive medical excess. British Medical Journal, 349, g5702.Google Scholar
Hoffmann, H., Kessler, H., Eppel, T., Rukavini, S., & Traue, H. C. (2010). Expression intensity, gender and facial emotion recognition: Women recognize only subtle facial emotions better than men. Acta Psychologica, 135, 278–283.Google Scholar
Hofstede, H., & Ratcliffe, J. M. (2016). Evolutionary escalation: The bat–moth arms race. Journal of Experimental Biology, 219(11), 1589–1602.Google Scholar
Hollingworth, L. S. (1914). Variability as related to sex differences in achievement. American Journal of Sociology, 19, 510–530.Google Scholar
House of Lords Science and Technology Select Committee. (2011). 2nd Report of Session 2010–12: Behaviour Change. Authority of the House of Lords.Google Scholar
Hutchinson, J. M. C., & Gigerenzer, G. (2005). Simple heuristics and rules of thumb: Where psychologists and behavioural biologists might meet. Behavioural Processes, 69, 97–124.Google Scholar
Johnson, E. J., & Goldstein, D. G. (2003). Do defaults save lives? Science, 302, 1338–1339.Google Scholar
Johnson, J. G., & Raab, M. (2003). Take the first: Option-generation and resulting choices. Organizational Behavior and Human Decision Processes, 91(2), 215–229.Google Scholar
Johnson, W., Carothers, A., & Deary, I. J. (2009). A role for the X chromosome in sex differences in variability in general intelligence? Perspectives on Psychological Science, 4, 589–611.Google Scholar
Jonsson, B., & von Hofsten, C. (2003). Infants’ ability to track and reach for temporarily occluded objects. Developmental Science, 6, 86–99.Google Scholar
Juslin, P., Winman, A., & Hansson, P. (2007). The naïve intuitive statistician: A naïve sampling model of intuitive confidence intervals. Psychological Review, 114, 678–703.Google Scholar
Juslin, P., Winman, A., & Olsson, H. (2000). Naive empiricism and dogmatism in confidence research: A critical examination of the hard-easy effect. Psychological Review, 107, 384–396.Google Scholar
Kahneman, D. (2002, December 8). Maps of bounded rationality: A perspective on intuitive judgment and choice. Prize Lecture, 449–489.Google Scholar
Kahneman, D. (2003). Maps of bounded rationality: A perspective on intuitive judgment and choice. In Frangsmyr, T. (Ed.), Les Prix Nobel: The Nobel prizes 2002 (pp. 1449–1489). Nobel Foundation.Google Scholar
Kahneman, D. (2011b, September 12). The marvels and the flaws of intuitive thinking. Edge. Retrieved October 24, 2022, www.edge.org/conversation/daniel_kahneman-the-marvels-and-the-flaws-of-intuitive-thinking-edge-master-class-2011Google Scholar
Kahneman, D. (2019). Comment on artificial intelligence and behavioral economics. In Agrawal, A., Gans, J., & Goldfarb, A. (Eds.), The economics of artificial intelligence: An agenda. Chicago, IL: University of Chicago Press.Google Scholar
Kahneman, D., & Frederick, S. (2005). A model of heuristic judgment. In Holyoak, K. J. & Morrison, R. G. (Eds.), The Cambridge handbook of thinking and reasoning (pp. 267–293). Cambridge: Cambridge University Press.Google Scholar
Kahneman, D., & Tversky, A. (1972). Subjective probability: A judgment of representativeness. Cognitive Psychology, 3, 430–454. (Reprinted in D. Kahneman, P. Slovic, & A. Tversky (1982) (Eds.), Judgment under uncertainty: Heuristics and biases (pp. 1932–1947). Cambridge, UK: Cambridge University Press).Google Scholar
Kahneman, D., & Tversky, A. (1973). On the psychology of prediction. Psychological Review, 80, 237–251.Google Scholar
Kahneman, D., & Tversky, A. (1984). Choice, values, and frames. American Psychologist, 39, 341–350.Google Scholar
Kahneman, D., & Tversky, A. (1996). On the reality of cognitive illusions. Psychological Review, 103, 582–591.Google Scholar
Kam, C. D., & Zechmeister, E. J. (2013). Name recognition and candidate support. American Journal of Political Science, 57, 971–986.Google Scholar
Kane, S. A., Fulton, A. H., & Rosenthal, L. J. (2015). When hawks attack: Animal-borne video studies of goshawk pursuit and prey-evasion strategies. Journal of Experimental Biology, 218, 212–222.Google Scholar
Kant, I. (1764/2011). Observations on the feelings of the beautiful and sublime (P. Frierson & P. Guyer, Trans.). Cambridge, UK: Cambridge University Press.Google Scholar
Kant, I. (1784). Beantwortung der Frage: Was ist Aufklärung? Berlinische Monatsschrift, December, 481–494.Google Scholar
Katsikopoulos, K. V., Şimşek, Ö., Buckmann, M., & Gigerenzer, G. (2020). Classification in the wild. Cambridge, MA: MIT Press.Google Scholar
Katsikopoulos, K., Şimşek, Ö., Buckmann, M., & Gigerenzer, G. (2021). Transparent modelling of influenza incidence: Big data or a single data point from psychological theory? International Journal of Forecasting, 38(2), 613–619.Google Scholar
Keren, G., & Schul, Y. (2009). Two is not always better than one: A critical evaluation of two-systems theories. Perspectives on Psychological Science, 4, 533–550.Google Scholar
Khamsi, R. (2005, February 1). Bacteria show signs of ageing. Nature. Retrieved October 25, 2022, www.nature.com/news/2005/050131/full/news050131-6.htmGoogle Scholar
Klein, G. (1998/2017). Sources of power: How people make decisions (20th anniversary ed.). Cambridge, MA: MIT Press.Google Scholar
Klein, G. (2015). A naturalistic decision making perspective on studying intuitive decision making. Journal of Applied Research in Memory and Cognition, 4, 164–168.Google Scholar
Knight, F. (1921). Risk, uncertainty, and profit (Vol. XXXI). Boston, MA: Houghton Mifflin.Google Scholar
Kohlberg, L. (1984). Essays on moral development – Vol. 2. The psychology of moral development: The nature and validity of moral stages. San Francisco, CA: Harper & Row.Google Scholar
Kösters, J. P., & Gøtzsche, P. C. (2003). Regular self-examination or clinical examination for early detection of breast cancer. Cochrane Database of Systematic Reviews (2), CD003373.Google Scholar
Kristal, A. S., & Whillans, A. V. (2020). What we can learn from five naturalistic field experiments that failed to shift commuter behaviour. Nature Human Behaviour, 4, 169–176.Google Scholar
Kruglanski, A. W., & Gigerenzer, G. (2011). Intuitive and deliberative judgments are based on common principles. Psychological Review, 118, 97–109.Google Scholar
Kühberger, A. (1995). The framing of decisions: A new look at old problems. Organizational Behavior and Human Decision Processes, 62, 230–240.Google Scholar
Kühberger, A., & Tanner, C. (2010). Risky choice framing: Task versions and a comparison of prospect theory and fuzzy-trace theory. Journal of Behavioral Decision Making, 23(3), 314–329.Google Scholar
Lehrke, R. G. (1978). Sex linkage: A biological basis for greater male variability in intelligence. In Osborne, R. T., Noble, C. E., & Weyl, N. (Eds.), Human variation: The biopsychology of age, race, and sex (pp. 171–198). New York: Academic Press.Google Scholar
Lejarraga, T., & Hertwig, R. (2021). How experimental methods shaped views on human competence and rationality. Psychological Bulletin, 147(6), 535–564.Google Scholar
Libet, B. (2004). Mind time: The temporal factor in consciousness. Cambridge, MA: Harvard University Press.Google Scholar
Luan, S., Schooler, L., & Gigerenzer, G. (2011). A signal detection analysis of fast-and-frugal trees. Psychological Review, 118, 316–338.Google Scholar
Maier, M., Bartos, F., Stanley, T. D., Shanks, D. R., Harris, A. J. L., & Wagenmakers, E.-J. (2022). No evidence for nudging after adjusting for publication bias. Proceedings of the National Academy of Sciences, 119(31), e2200300119.Google Scholar
Mallon, E. B., & Franks, N. R. (2000). Ants estimate area using Buffon’s needle. Proceedings of the Royal Society B, 267, 765–770.Google Scholar
Mandel, D. R. (2001). Gain-loss framing and choice: Separating outcome formulations from descriptor formulations. Organizational Behavior and Human Decision Processes, 85(1), 56–76.Google Scholar
Mandel, D. R. (2014). Do framing effects reveal irrational choice? Journal of Experimental Psychology: General, 143, 1185–1198.Google Scholar
Marewski, J. N., Gaissmaier, W., Schooler, L. J., Goldstein, D. G., & Gigerenzer, G. (2010). From recognition to decisions: Extending and testing recognition-based models for multi-alternative inference. Psychonomic Bulletin & Review, 17, 287–309.Google Scholar
Martignon, L., & Hoffrage, U. (2002). Fast, frugal, and fit: Lexicographic heuristics for paired comparison. Theory and Decision, 52, 29–71.Google Scholar
Masters, B. A. (1986, April 18). When the Cliffies finally conquered Lamont. The Harvard Crimson. Retrieved October 25, 2022, www.thecrimson.com/article/1986/4/18/when-the-cliffies-finally-conquered-lamontGoogle Scholar
Matesanz, R. (2003). Factors influencing the adaptation of the Spanish Model of organ donation. Transplant International, 16, 736–741.Google Scholar
McBeath, M. K., Shaffer, D. M., & Kaiser, M. K. (1995). How baseball outfielders determine where to run to catch fly balls. Science, 268, 569–573.Google Scholar
McDowell, M., & Jacobs, P. (2017). Meta-analysis of the effect of natural frequencies on Bayesian reasoning. Psychological Bulletin, 143, 1273–1312.Google Scholar
McKenzie, C. R. M., & Nelson, J. D. (2003). What a speaker’s choice of frame reveals: Reference points, frame selection, and framing effects. Psychonomic Bulletin and Review, 10, 596–602.Google Scholar
McNemar, Q., & Terman, L. M. (1936). Sex differences in variational tendency. Genetic Psychology Monographs, 18, 1–66.Google Scholar
Medvegy, Z., Raab, M., Tóth, K., Csurilla, G., & Sterbenz, T. (2022). When do expert decision makers trust their intuition? Applied Cognitive Psychology, 36(4).Google Scholar
Melnikoff, D. E., & Bargh, J. A. (2018). The mythical number two. Trends in Cognitive Sciences, 22, 280–293.Google Scholar
Mercier, H., & Sperber, D. (2011). Why do humans reason? Arguments for an argumentative theory. Behavioral & Brain Sciences, 34, 57–74.Google Scholar
Mertens, S., Herberz, M., Hahnel, U. J. J., & Brosch, T. (2022). The effectiveness of nudging: A meta-analysis of choice architecture interventions across behavioral domains. Proceedings of the National Academy of Sciences, 119(1), e2107346118.Google Scholar
Meyerowtiz, B. E., & Chaiken, S. (1987). The effect of message framing on breast self-examination attitudes, intentions, and behavior. Journal of Personality and Social Psychology, 52(3), 509–510.Google Scholar
Meyers-Levy, J., & Loken, B. (2015). Revisiting gender differences: What we know and what lies ahead. Journal of Consumer Science, 25, 129–149.Google Scholar
Miller, J. B., & Sanjuro, A. (2018). Surprised by the hot hand fallacy? A truth in the law of small numbers. Econometrica, 86, 2019–2047.Google Scholar
Minton, H. L. (1988). Lewis M. Terman: Pioneer in psychological testing. New York: New York University Press.Google Scholar
Montagne, B., Kessels, R. P., Frigerio, E., de Haan, E. H. F., & Perrett, D. I. (2005). Sex differences in the perception of affective facial expressions: Do men really lack emotional sensitivity? Cognitive Processing, 6(2), 136–141.Google Scholar
Moxey, A., O’Connell, D., McGettigan, P., & Henry, D. (2003). Describing treatment effects to patients: How they are expressed makes a difference. Journal of General Internal Medicine, 18, 948–959.Google Scholar
Mugford, S. T., Mallon, E. B., & Franks, N. R. (2001). The accuracy of Buffon’s needle: A rule of thumb used by ants to estimate area. Behavioral Ecology, 12, 655–658.Google Scholar
Nagel, T. (1993). Moral luck. In Statman, D. (Ed.), Moral luck (pp. 57–71). Albany, NY: State University of New York Press.Google Scholar
Narvaez, D. (2010). Moral complexity: The fatal attraction of truthiness and the importance of mature moral functioning. Perspectives on Psychological Science, 5, 163–181.Google Scholar
Narvaez, D., & Lapsley, D. (2005). The psychological foundations of everyday morality and moral expertise. In Lapsley, D. & Power, C. (Eds.), Character psychology and character education (pp. 140–165). Notre Dame, IN: University of Notre Dame Press.Google Scholar
Newell, A. (1973). You can’t play 20 questions with nature and win: Projective comments on the papers of this symposium. In Chase, W. G. (Ed.), Visual information processing: Proceedings of the Eighth Annual Carnegie Symposium on Cognition (pp. 283–308). New York: Academic Press.Google Scholar
Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
OECD. The Organisation for Economic Co-operation and Development. (2017). Behavioral insights and public policy: Lessons from around the world. OECD Publishing.Google Scholar
OECD. The Organisation for Economic Co-operation and Development. (2019), PISA 2018 results: Vol. III. What school life means for students’ lives. OECD Publishing.Google Scholar
Ortmann, A., Gigerenzer, G., Borges, B., & Goldstein, D. G. (2008). The recognition heuristic: A fast and frugal way to investment choice? In Plott, C. R. & Smith, V. L. (Eds.), Handbook of experimental economics results: Vol. 1. Handbooks in Economics No. 28 (pp. 993–1003). Amsterdam: North-Holland.Google Scholar
Osbeck, L. M., & Held, B. S. (Eds.). (2014). Rational intuition. Cambridge, UK: Cambridge University Press.Google Scholar
Pachur, T., & Marinello, G. (2013). Expert intuitions: How to model the decision strategies of airport customs officers? Acta Psychologica, 144, 97–103.Google Scholar
Pachur, T., Mata, R., & Schooler, L. J. (2009). Cognitive aging and the adaptive use of recognition in decision making. Psychology and Aging, 24, 901–915.Google Scholar
Pashler, H., Coburn, N., & Harris, C. R. (2012). Priming of social distance? Failure to replicate effects on social and food judgments. PLoS ONE, 7(8), e42510.Google Scholar
Pearson, K. (1897). The chances of death and other studies in evolution (Vol. I). London: Edward Arnold.Google Scholar
Pearson, K., & Lee, A. (1903). On the laws of inheritance in man: Inheritance of physical characters. Biometrica, 2, 357–462.Google Scholar
Pessoa, F. (1996). The book of disquiet (Richard Zenth, Trans.). London: Penguin Classics.Google Scholar
Peterson, C. R., & Beach, L. R. (1967). Man as an intuitive statistician. Psychological Bulletin, 68, 29–46.Google Scholar
Petracca, E. (2021). On the origins and consequences of Simon’s modular approach to bounded rationality in economics. The European Journal of the History of Economic Thought, 28(5), 708–732.Google Scholar
Pfeifer, P. E. (1994). Are we overconfident in the belief that probability forecasters are overconfident? Organizational Behavior and Human Decision Processes, 58, 203–213.Google Scholar
Piaget, J., & Inhelder, B. (1951/1975). The origin of the idea of chance in children (L. Leake, P. Burrell, & H. D. Fishbein, Trans.). New York: Norton.Google Scholar
Pohl, R. F. (2006). Empirical tests of the recognition heuristic. Journal of Behavioral Decision Making, 19, 251–271.Google Scholar
Polanyi, M. (1966/2009). The tacit dimension. Chicago, IL: University of Chicago Press.Google Scholar
Pólya, G. (1945/1988). How to solve it (2nd ed.). Princeton, NJ: Princeton University Press.Google Scholar
Popomaronis, T. (2020, October 22). Jeff Bezos’s 3-question rule for hiring new Amazon employees – and how to answer them right. CNBC make it. Retrieved October 25, 2022, www.cnbc.com/2020/10/20/jeff-bezos-3-question-rule-for-hiring-new-amazon-employees.htmlGoogle Scholar
Popomaronis, T. (2021, January 26). Elon Musk asks this question at every interview to spot a liar: Why science says it actually works. CNBC make it. Retrieved October 25, 2022, www.cnbc.com/2021/01/26/elon-musk-favorite-job-interview-question-to-ask-to-spot-a-liar-science-says-it-actually-works.htmlGoogle Scholar
Raab, M., Gula, B., & Gigerenzer, G. (2012). The hot hand exists in volleyball and is used for allocation decisions. Journal of Experimental Psychology: Applied, 18, 81–94.Google Scholar
Reber, A. S. (1989). Implicit learning and tacit knowledge. Journal of Experimental Psychology: General, 118, 317–327.Google Scholar
Rebonato, R. (2012). Taking liberties: A critical examination of libertarian paternalism. New York: Palgrave Macmillan.Google Scholar
Richardson, H. S. (2004). Satisficing: Not good enough. In Byron, M. (Ed.), Satisficing and maximizing: Moral theorists on practical reason (pp. 106–130). Cambridge, UK: Cambridge University Press.Google Scholar
Rifkin, J. (2002). Science in the age of sensibility: The sentimental empiricists of the French Enlightenment. Chicago, IL: University of Chicago Press.Google Scholar
Rizzo, J. M., & Whitman, G. (2020). Escaping paternalism. Cambridge, UK: Cambridge University Press.Google Scholar
Rose, C. (Executive producer). (2009, February 11). The Charlie Rose show [television broadcast]. Public Broadcasting System (PBS).Google Scholar
Rosenbaum, J. (2009). Patient teenagers? A comparison of the sexual behavior of virginity pledgers and matched nonpledgers. Pediatrics, 123, 110–120. doi: 10.1542/peds.2008-0407Google Scholar
Rosenbaum, S. E., Glenton, C., & Oxman, A. D. (2010). Summary-of-findings tables in Cochrane reviews improved understanding and rapid retrieval of key information. Journal of Clinical Epidemiology, 63, 620–626.Google Scholar
Ross, C. (2022, January 21). Once billed as a revolution in medicine, IBM’s Watson Health is sold off in parts. www.statnews.com/2022/01/21/ibm-watson-health-sale-equityGoogle Scholar
Salovey, P., & Williams-Piehota, P. (2004). Field experiments in social psychology: Message framing and the promotion of health protective behaviors. American Behavioral Scientist, 47, 488–505.Google Scholar
Scheibehenne, B., & Bröder, A. (2007). Predicting Wimbledon 2005 tennis results by mere player name recognition. International Journal of Forecasting, 23, 415–426.Google Scholar
Schneider, S. (2010, June 29). Homo economicus – or more like Homer Simpson? Deutsche Bank Research.Google Scholar
Schofer, G. (1976). G. Stanley Hall: Male chauvinist educator. The Journal of Educational Thought, 10, 194–200.Google Scholar
Schooler, L. J., & Hertwig, R. (2005). How forgetting aids heuristic inference. Psychological Review, 112, 610–628.Google Scholar
Schüll, N. D. (2012). Addiction by design: Machine gambling in Las Vegas. Princeton, NJ: Princeton University Press.Google Scholar
Scottish Council for Research in Education. (1933). The intelligence of Scottish children: A national survey of an age group. (Publications of the Scottish Council for Research in Education V). London: University of London Press.Google Scholar
Scottish Council for Research in Education. (1939). The intelligence of a representative group of Scottish children (Vol. VX). London: University of London Press.Google Scholar
Scottish Council for Research in Education. (1949). The trend of Scottish intelligence (Vol. XXX). London: University of London Press.Google Scholar
Scottish Council for Research in Education. (1958). Eleven-year-olds grow up (Vol. XLII). London: University of London Press.Google Scholar
Sedlmeier, P., & Gigerenzer, G. (2001). Teaching Bayesian reasoning in less than two hours. Journal of Experimental Psychology: General, 130, 380–400.Google Scholar
Serwe, S., & Frings, C. (2006). Who will win Wimbledon? The recognition heuristic in predicting sports events. Journal of Behavioral Decision Making, 19, 321–322.Google Scholar
Shaffer, D. M., Krauchunas, S. M., Eddy, M., & McBeath, M. K. (2004). How dogs navigate to catch frisbees. Psychological Science, 15, 437–441.Google Scholar
Shaffer, D. M., & McBeath, M. K. (2002). Baseball outfielders maintain a linear optical trajectory when tracking uncatchable flyballs. Journal of Experimental Psychology: Human, 28, 335–348.Google Scholar
Shaffer, D. M., & McBeath, M. K. (2005). Naïve beliefs in baseball: Systematic distortions in perceived time of apex for fly balls. Journal of Experimental Psychology: Learning, 31, 1492–1501.Google Scholar
Sher, S., & McKenzie, C. R. M. (2006). Information leakage from logically equivalent frames. Cognition, 101, 467–494.Google Scholar
Shields, S. A. (1982). The variability hypothesis: The history of a biological model of sex differences in intelligence. Signs: Journal of Women in Culture and Society, 7, 769–797.Google Scholar
Simon, H. A. (1988). Nobel laureate Simon “looks back”: A low-frequency mode. Public Administration Quarterly, 12, 275–300.Google Scholar
Simon, H. A. (1990). Invariants of human behavior. Annual Review of Psychology, 41, 1–19.Google Scholar
Simon, H. A. (1992). What is an “explanation” of behavior? Psychological Science, 3, 150–161.Google Scholar
Simon, H. A. (1997). Models of bounded rationality: Vol. 3. Empirically grounded economic reason. Cambridge, MA: MIT Press.Google Scholar
Şimşek, Ö. (2013). Linear decision rule as aspiration for simple decision heuristics. In Burges, C. J. C., Bottou, L., Welling, M., Ghahramani, Z., & Weinberger, K. Q. (Eds.), Advances in neural information processing systems: Vol. 26. 27th Annual Conference on Neural Information Processing Systems 2013 [online version] (pp. 2904–2912). New York: Curran Associates.Google Scholar
Sinnott-Armstrong, W. (Ed.). (2008). Moral psychology. (2 Vols.). Cambridge, MA: MIT Press.Google Scholar
Sloman, S. A. (1996). The empirical case for two systems of reasoning. Psychological Bulletin, 119, 3–22.Google Scholar
Smith, V. L. (2003). Constructivist and ecological rationality in economics. American Economic Review, 93, 465–508.Google Scholar
Spearman, C. (1904). General intelligence, objectively determined and measured. American Journal of Psychology, 15, 201–293.Google Scholar
Sperber, D. (1994). The modularity of thought and the epidemiology of representations. In Hirschfeld, A. & Gelman, S. A. (Eds.), Mapping the mind (pp. 39–67). Cambridge, UK: Cambridge University Press.Google Scholar
Sperber, D., & Wilson, D. (1986). Relevance: Communication and cognition. Oxford: Blackwell.Google Scholar
Standing, L. (1973). Learning 10,000 pictures. Quarterly Journal of Experimental Psychology, 25, 207–222.Google Scholar
Stanovich, K., West, R., & Toplak, M. (2011). The great rationality debate: The science of reason. New York: Psychology Press.Google Scholar
Stephens, D. W., & Krebs, J. R. (1986). Foraging theory. Princeton, NJ: Princeton University Press.Google Scholar
Sternberg, R. J. (1990). Metaphors of mind: Conceptions of the nature of intelligence. Cambridge, UK: Cambridge University Press.Google Scholar
Strickland, E. (2019, April 2). How IBM Watson overpromised and underdelivered on AI health care. IEEE Spectrum. https://spectrum.ieee.org/biomedical/diagnostics/how-ibm-watson-overpromised-and-underdelivered-on-ai-health-careGoogle Scholar
Sturm, T. (2012). The “rationality wars” in psychology: Where they are and where they could go. Inquiry, 55(1), 66–81.Google Scholar
Summers, L. H. (2005, January 14). Remarks at NBER Conference on diversifying the science & engineering workforce. Retrieved October 25, 2022, http://web.archive.org/web/20080130023006/http:/www.president.harvard.edu/speeches/2005/nber.htmlGoogle Scholar
Sunstein, C. R. (2005). Laws of fear: Beyond the precautionary principle. Cambridge, UK: Cambridge University Press.Google Scholar
Sunstein, C. R. (2020, February 28). The cognitive bias that makes us panic about coronavirus. Opinion. Bloomberg. Retrieved October 25, 2022, www.bloomberg.com/opinion/articles/2020-02-28/coronavirus-panic-caused-by-probability-neglectGoogle Scholar
Terman, L. M., & Merrill, M. A. (1937). Measuring intelligence. Boston, MA: Houghton Mifflin.Google Scholar
Terman, L. M., & Oden, M. H. (1947). The gifted child grows up: Vol. IV. Genetic studies of genius. Redwood City, CA: Stanford University Press.Google Scholar
Tetlock, P. E., & Mellers, B. (2002) The great rationality debate. Psychological Science, 13, 94–99.Google Scholar
Thaler, R. H., & Sunstein, C. R. (2003). Libertarian paternalism. American Economic Review, 93(2), 175–179.Google Scholar
Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. New Haven, CT: Yale University Press.Google Scholar
Thompson, H. B. (1903). The mental traits of sex. Chicago, IL: University of Chicago Press.Google Scholar
Todd, P. M., & Gigerenzer, G. (2001). Putting naturalistic decision making into the adaptive toolbox. Journal of Behavioral Decision Making, 14, 381–383.Google Scholar
Todd, P. M., Gigerenzer, G., & the ABC Research Group. (2012). Ecological rationality: Intelligence in the world. Oxford: Oxford University Press.Google Scholar
Tombu, M., & Jolicoeur, P. (2004). Virtually no evidence for virtually perfect time-sharing. Journal of Experimental Psychology: Human Perception & Performance, 30, 795–810.Google Scholar
Tombu, M., & Mandel, D. R. (2015). When does framing influence preferences, risk perceptions, and risk attitudes? The explicated valence account. Journal of Behavioral Decision Making, 28(5), 464–476.Google Scholar
Tooby, J., & Cosmides, L. (1992). The psychological foundations of culture. In Barkow, J. H., Cosmides, L., & Tooby, J. (Eds.), The adapted mind (pp. 19–138). Oxford: Oxford University Press.Google Scholar
Tripodi, V. (2015). Intuition, gender, and the underrepresentation of women in philosophy. Architettura, 58, 136–146.Google Scholar
Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185, 1124–1131.Google Scholar
Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211, 453–458.Google Scholar
Tversky, A., & Kahneman, D. (1986). Rational choice and the framing of decisions. The Journal of Business, 59(4), S251–S278.Google Scholar
United States Department of Justice.(n.d.). Retrieved October 24, 2022, www.justice.gov/opa/pr/deutsche-bank-agrees-pay-72-billion-misleading-investors-its-sale-residential-mortgage-backedGoogle Scholar
Volz, K. G., Schubotz, R. I., Raab, M., Schooler, L. J., Gigerenzer, G., & von Cramon, D. Y. (2006). Why you think Milan is larger than Modena: Neural correlates of the recognition heuristic. Journal of Cognitive Neuroscience, 18, 1924–1936.Google Scholar
Wang, Y., Highhouse, S., Lake, C. J., Petersen, N. L., & Rada, T. B. (2017). Meta-analytic investigations of the relation between intuition and analysis. Journal of Behavioral Decision Making, 30, 15–25.Google Scholar
Weber, M. (1930/1992). The Protestant ethic and the spirit of capitalism. Abingdon, UK: Routledge.Google Scholar
Wellman, B. (1933). Sex differences. In Murchison, C. (Ed.), Handbook of child psychology (2nd rev. ed., pp. 626–649). Worcester, MA: Clark University Press.Google Scholar
Wilson, M. (2002). Six views of embodied cognition. Psychonomic Bulletin & Review, 9, 625–636.Google Scholar
Wissler, C. (1901). The correlation of mental and physical tests. Psychological Review, Monograph Supplement, 3(6), 1–62.Google Scholar
Zarembo, A. (2003, December 3). Funding studies to suit need. Los Angeles Times. Retrieved October 25, 2022, www.latimes.com/nation/la-na-valdez3-2003dec03-story.htmlGoogle Scholar
Zenko, M. (2015). Red team: How to succeed by thinking like the enemy. New York: Basic Books.Google Scholar
Zimbardo, P. (2007). The Lucifer effect: Understanding how good people turn to evil. New York: Random House.Google Scholar