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Subjective probability: A judgment of representativeness
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Citations
Cites
An introduction to probability theory and its applications
(1958) · Journal of the Franklin Institute · doi:10.1016/0016-0032(58)90688-4 · Cited by 29,269
Availability: A heuristic for judging frequency and probability
Tversky, A., & Kahneman, D. (1973) · Cognitive Psychology · doi:10.1016/0010-0285(73)90033-9 · Cited by 9,984
Self-citationBelief in the law of small numbers.
Tversky, A., & Kahneman, D. (1971) · Psychological Bulletin · doi:10.1037/h0031322 · Cited by 3,246
Self-citationThe statistical power of abnormal-social psychological research: A review.
Cohen, J. (1962) · The Journal of Abnormal and Social Psychology · doi:10.1037/h0045186 · Cited by 1,824
Comparison of Bayesian and regression approaches to the study of information processing in judgment
Slovic, P., & Lichtenstein, S. (1971) · Organizational Behavior and Human Performance · doi:10.1016/0030-5073(71)90033-x · Cited by 1,819
Conservatism in human information processing
Edwards, W. (1982) · Judgment under Uncertainty · doi:10.1017/cbo9780511809477.026 · Cited by 1,004
Man as an intuitive statistician.
Peterson, C. R., & Beach, L. R. (1967) · Psychological Bulletin · doi:10.1037/h0024722 · Cited by 963
(1964) · Elsevier eBooks · doi:10.1016/c2013-0-12392-6 · Cited by 735
Formal representation of human judgment
Kleinmuntz, B., & Cattell, R. B. (1968) · Medical Entomology and Zoology · Cited by 683
Melton, A. W. (1964) · Defense Technical Information Center (DTIC) · Cited by 501
Cited by
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
Self-citationJudgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
Self-citationAvailability: A heuristic for judging frequency and probability
Tversky, A., & Kahneman, D. (1973) · Cognitive Psychology · doi:10.1016/0010-0285(73)90033-9 · Cited by 9,984
Self-citationThe case for motivated reasoning.
Kunda, Z. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.108.3.480 · Cited by 9,022
On the psychology of prediction.
Kahneman, D., & Tversky, A. (1973) · Psychological Review · doi:10.1037/h0034747 · Cited by 6,202
Self-citationA perspective on judgment and choice: mapping bounded rationality.
Kahneman, D. (2003) · American Psychologist · doi:10.1037/0003-066x.58.9.697 · Cited by 5,540
Self-citationDual-Processing Accounts of Reasoning, Judgment, and Social Cognition
Evans, J. S. B. T. (2008) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093629 · Cited by 5,137
Unrealistic optimism about future life events
Weinstein, N. D. (1980) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.39.5.806 · Cited by 4,999
The antecedents and consequences of customer satisfaction for firms
Anderson, E. W., & Sullivan, M. W. (1993) · Marketing Science · doi:10.1287/mksc.12.2.125 · Cited by 4,610
Dual-Process Theories of Higher Cognition: Advancing the Debate
Evans, J. S. B. T., & Stanovich, K. E. (2013) · Perspectives on Psychological Science · doi:10.1177/1745691612460685 · Cited by 4,271
The Intuitive Psychologist And His Shortcomings: Distortions in the Attribution Process
Ross, L. (1977) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60357-3 · Cited by 4,170
Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment.
Tversky, A., & Kahneman, D. (1983) · Psychological Review · doi:10.1037/0033-295x.90.4.293 · Cited by 3,991
Self-citationRepresentativeness revisited: Attribute substitution in intuitive judgment.
Kahneman, D., & Frederick, S. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.004 · Cited by 3,476
Self-citationLearned helplessness: Theory and evidence
Maier, S. F., & Seligman, M. E. (1976) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.105.1.3 · Cited by 2,494
Slovic, P., Finucane, M., Peters, E., & MacGregor, D. G. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.025 · Cited by 2,349
“Clinical versus Actuarial Judgment.”
Dawes, R. M., Faust, D., & Meehl, P. E. (1989) · Science · doi:10.1126/science.2648573 · Cited by 2,298
Why do humans reason? Arguments for an argumentative theory
Mercier, H., & Sperber, D. (2011) · Behavioral and Brain Sciences · doi:10.1017/s0140525x10000968 · Cited by 2,254
The Grammar of Society: The Nature and Dynamics of Social Norms
Bicchieri, C. (2005) · doi:10.1017/cbo9780511616037 · Cited by 1,991
Judgment of contingency in depressed and nondepressed students: Sadder but wiser?
Alloy, L. B., & Abramson, L. Y. (1979) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.108.4.441 · Cited by 1,692
The Hot Hand in Basketball: On the Misperception of Random Sequences
Gilovich, T., Vallone, R., & Tversky, A. (1985) · Cognitive Psychology · doi:10.1016/0010-0285(85)90010-6 · Cited by 1,649
Self-citationHelping Doctors and Patients Make Sense of Health Statistics
Gigerenzer, G., Gaissmaier, W., Kurz-Milcke, E., Schwartz, L. M., & Woloshin, S. (2007) · Psychological Science in the Public Interest · doi:10.1111/j.1539-6053.2008.00033.x · Cited by 1,336
Cosmides, L. (1996) · Cognition · doi:10.1016/0010-0277(95)00664-8 · Cited by 1,293
Cognitive Fit: A Theory‐Based Analysis of the Graphs Versus Tables Literature*
Vessey, I. (1991) · Decision Sciences · doi:10.1111/j.1540-5915.1991.tb00344.x · Cited by 1,263
Support theory: a nonextensional representation of subjective probability
Tversky, A., & Koehler, D. J. (1994) · Psychological Review · doi:10.1037/0033-295x.101.4.547 · Cited by 1,167
Self-citationReckless behavior in adolescence: A developmental perspective
ARNETT, J. (1992) · Developmental Review · doi:10.1016/0273-2297(92)90013-r · Cited by 917
Lieder, F., & Griffiths, T. L. (2020) · Behavioral and Brain Sciences · doi:10.1017/s0140525x1900061x · Cited by 892
Risk, uncertainty and the theory of planned behavior: A tourism example
Quintal, V. A., Lee, J. A., & Soutar, G. N. (2010) · Tourism Management · doi:10.1016/j.tourman.2009.08.006 · Cited by 855
On the relative independence of thinking biases and cognitive ability
Stanovich, K. E., & West, R. F. (2008) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.94.4.672 · Cited by 840
Dunning, D., Meyerowitz, J. A., & Holzberg, A. D. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.57.6.1082 · Cited by 758
Varieties of Confirmation Bias
Klayman, J. (1995) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(08)60315-1 · Cited by 755
Human cognition in its social context.
Wyer, R. S., & Srull, T. K. (1986) · Psychological Review · doi:10.1037/0033-295x.93.3.322 · Cited by 708
The dilution effect: Nondiagnostic information weakens the implications of diagnostic information
Nisbett, R. E., Zukier, H., & Lemley, R. E. (1981) · Cognitive Psychology · doi:10.1016/0010-0285(81)90010-4 · Cited by 605
The Parties in Our Heads: Misperceptions about Party Composition and Their Consequences
Ahler, D. J., & Sood, G. (2018) · The Journal of Politics · doi:10.1086/697253 · Cited by 586
Taxonomic efforts in the description of leader behavior: A synthesis and functional interpretation
Fleishman, E. A., Mumford, M. D., Zaccaro, S. J., Levin, K. Y., Korotkin, A. L., & Hein, M. B. (1991) · The Leadership Quarterly · doi:10.1016/1048-9843(91)90016-u · Cited by 580
Explanation, imagination, and confidence in judgment.
Koehler, D. J. (1991) · Psychological Bulletin · doi:10.1037//0033-2909.110.3.499 · Cited by 561
Language Acquisition as Rational Contingency Learning
Ellis, N. C. (2006) · Applied Linguistics · doi:10.1093/applin/ami038 · Cited by 559
The sunk cost and Concorde effects: Are humans less rational than lower animals?
Arkes, H. R., & Ayton, P. (1999) · Psychological Bulletin · doi:10.1037/0033-2909.125.5.591 · Cited by 554
Using cognitive psychology to understand GPT-3
Binz, M., & Schulz, E. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2218523120 · Cited by 559
“Finally, we asked GPT-3 to provide an answer to the “hospital problem” 17 (Hospital, see SI Appendix), in which participants are asked which of two hospitals, a smaller or a larger one, is more likely to report more days on which more than 60% of all born children were boys.”
Intuitive theories of events and the effects of base-rate information on prediction
Ajzen, I. (1977) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.35.5.303 · Cited by 503
The role of inhibition in task switching: A review
Koch, I., Gade, M., Schuch, S., & Philipp, A. M. (2010) · Psychonomic Bulletin & Review · doi:10.3758/pbr.17.1.1 · Cited by 493
Deterring Delinquents: A Rational Choice Model of Theft and Violence
Matsueda, R. L., Kreager, D. A., & Huizinga, D. (2006) · American Sociological Review · doi:10.1177/000312240607100105 · Cited by 467
Inductive judgments about natural categories
Rips, L. J. (1975) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(75)80055-7 · Cited by 465
Matters of mind: Mindfulness/mindlessness in perspective
Langer, E. J. (1992) · Consciousness and Cognition · doi:10.1016/1053-8100(92)90066-j · Cited by 443
Individual investor perceptions and behavior during the financial crisis
Hoffmann, A. O. I., Post, T., & Pennings, J. M. E. (2013) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2012.08.007 · Cited by 425
Arkes, H. R., & Tetlock, P. E. (2004) · Psychological Inquiry · doi:10.1207/s15327965pli1504_01 · Cited by 396
What You Don't Know About Customer-Perceived Quality: The Role of Customer Expectation Distributions
Rust, R. T., Inman, J. J., Jia, J., & Zahorik, A. (1999) · Marketing Science · doi:10.1287/mksc.18.1.77 · Cited by 391
Intuition and Reasoning: A Dual-Process Perspective
Evans, J. S. B. T. (2010) · Psychological Inquiry · doi:10.1080/1047840x.2010.521057 · Cited by 385
The Psychology of Group Conflict and the Dynamics of Oppression: A Social Dominance Perspective
Sidanius, J. (1993) · Explorations in Political Psychology · doi:10.1215/9780822396697-009 · Cited by 365
Artificial Intelligence, Discretion, and Bureaucracy
Bullock, J. B. (2019) · The American Review of Public Administration · doi:10.1177/0275074019856123 · Cited by 346
Wahlberg, A. A. F., & Sjoberg, L. (2000) · Journal of Risk Research · doi:10.1080/136698700376699 · Cited by 345
Gennaioli, N., Ma, Y., & Shleifer, A. (2016) · NBER Macroeconomics Annual · doi:10.1086/685965 · Cited by 332
Shafir, E., & LeBoeuf, R. A. (2002) · Annual Review of Psychology · doi:10.1146/annurev.psych.53.100901.135213 · Cited by 317
Belief in Conspiracy Theories and Susceptibility to the Conjunction Fallacy
Brotherton, R., & French, C. C. (2014) · Applied Cognitive Psychology · doi:10.1002/acp.2995 · Cited by 291
Miserliness in human cognition: the interaction of detection, override and mindware
Stanovich, K. E. (2018) · Thinking & Reasoning · doi:10.1080/13546783.2018.1459314 · Cited by 279
fMRI reveals reciprocal inhibition between social and physical cognitive domains
Jack, A. I., Dawson, A. J., Begany, K. L., Leckie, R. L., Barry, K. P., Ciccia, A. H., & Snyder, A. Z. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.061 · Cited by 280
Principles of Judging Valence: What Makes Events Positive or Negative?
Brendl, C. M., & Higgins, E. T. (1996) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60237-3 · Cited by 269
Rational Decision and Causality
Eells, E. (2016) · Cambridge University Press eBooks · doi:10.1017/cbo9781316534823 · Cited by 259
Signatures of a Statistical Computation in the Human Sense of Confidence
Sanders, J. I., Hangya, B., & Kepecs, A. (2016) · Neuron · doi:10.1016/j.neuron.2016.03.025 · Cited by 253
The production and perception of randomness
Nickerson, R. S. (2002) · Psychological Review · doi:10.1037/0033-295x.109.2.330 · Cited by 247
The anchoring bias reflects rational use of cognitive resources
Lieder, F., Griffiths, T. L., M. Huys, Q. J., & Goodman, N. D. (2018) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1286-8 · Cited by 230
Analytic and Heuristic Processing Influences on Adolescent Reasoning and Decision-Making
Klaczynski, P. A. (2001) · Child Development · doi:10.1111/1467-8624.00319 · Cited by 230
Matyas, T. A., & Greenwood, K. M. (1990) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.1990.23-341 · Cited by 222
Cross-Cultural Variations in Probability Judgment Accuracy: Beyond General Knowledge Overconfidence?
Yates, J. F., Lee, J.-W., Shinotsuka, H., Patalano, A. L., & Sieck, W. R. (1998) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.1998.2771 · Cited by 220
False Equivalence: Are Liberals and Conservatives in the United States Equally Biased?
Baron, J., & Jost, J. T. (2019) · Perspectives on Psychological Science · doi:10.1177/1745691618788876 · Cited by 213
The Sense of Confidence during Probabilistic Learning: A Normative Account
Meyniel, F., Schlunegger, D., & Dehaene, S. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004305 · Cited by 163
Stanovich, K. E. (2012) · The Oxford Handbook of Thinking and Reasoning · doi:10.1093/oxfordhb/9780199734689.013.0022 · Cited by 169
Mental Contamination and the Debiasing Problem
Wilson, T. D., Centerbar, D. B., & Brekke, N. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.012 · Cited by 160
Loftus, E. F., & Davis, D. (2006) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.2.022305.095315 · Cited by 158
Rauschecker, A. M., Rudie, J. D., Xie, L., Wang, J., Duong, M. T., Botzolakis, E. J., Kovalovich, A. M., Egan, J., Cook, T. C., Bryan, R. N., et al. (2020) · Radiology · doi:10.1148/radiol.2020190283 · Cited by 148
The calibration of expert judgment: heuristics and biases beyond the laboratory
Koehler, D. J., Brenner, L., & Griffin, D. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.041 · Cited by 146
Is probability matching smart? Associations between probabilistic choices and cognitive ability
West, R. F., & Stanovich, K. E. (2003) · Memory & Cognition · doi:10.3758/bf03194383 · Cited by 143
Kliegr, T., Bahník, Š., & Fürnkranz, J. (2021) · Artificial Intelligence · doi:10.1016/j.artint.2021.103458 · Cited by 139
Clinical decision‐making by midwives: managing case Complexity
Cioffi, J., & Markham, R. (1997) · Journal of Advanced Nursing · doi:10.1046/j.1365-2648.1997.1997025265.x · Cited by 119
Goldstein, W. M., & Weber, E. U. (1995) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(08)60308-4 · Cited by 119
The Effects of Culture on Consumers’ Consumption and Generation of Online Reviews
Kim, J. M., Jun, M., & Kim, C. K. (2018) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2018.05.002 · Cited by 118
Focusing techniques: A shortcut to improving probability judgments?
Fischhoff, B., & Bar-Hillel, M. (1984) · Organizational Behavior and Human Performance · doi:10.1016/0030-5073(84)90002-3 · Cited by 114
Imaginary People Representing Real Numbers: Generating Personas from Online Social Media Data
An, J., Kwak, H., Jung, S., Salminen, J., Admad, M., & Jansen, B. (2018) · ACM Transactions on the Web · doi:10.1145/3265986 · Cited by 104
Bellur, S., & Sundar, S. S. (2014) · Communication Methods and Measures · doi:10.1080/19312458.2014.903390 · Cited by 93
Understanding Human Intelligence through Human Limitations
Griffiths, T. L. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.09.001 · Cited by 88
Even statisticians are not immune to misinterpretations of Null Hypothesis Significance Tests
Lecoutre, M., Poitevineau, J., & Lecoutre, B. (2003) · International Journal of Psychology · doi:10.1080/00207590244000250 · Cited by 86
Tell me more! assessing interactions with social robots from speech
Laban, G., George, J.-N., Morrison, V., & Cross, E. S. (2020) · Paladyn, Journal of Behavioral Robotics · doi:10.1515/pjbr-2021-0011 · Cited by 81
Decision making in software architecture
van Vliet, H., & Tang, A. (2016) · Journal of Systems and Software · doi:10.1016/j.jss.2016.01.017 · Cited by 79
Stanovich, K. E., West, R. F., & Toplak, M. E. (2011) · The Cambridge Handbook of Intelligence · doi:10.1017/cbo9780511977244.040 · Cited by 77
A theory of learning to infer.
Dasgupta, I., Schulz, E., Tenenbaum, J. B., & Gershman, S. J. (2020) · Psychological Review · doi:10.1037/rev0000178 · Cited by 70
Strategic consumer behavior in online hotel booking
Masiero, L., Viglia, G., & Nieto-Garcia, M. (2020) · Annals of Tourism Research · doi:10.1016/j.annals.2020.102947 · Cited by 70
Inside the Mental Voting Booth: An Impression-Driven Process Model of Candidate Evaluation
Lodge, M., & Stroh, P. (1993) · Explorations in Political Psychology · doi:10.1215/9780822396697-011 · Cited by 66
Linda is not a bearded lady: configural weighting and adding as the cause of extension errors
Nilsson, H., Winman, A., Juslin, P., & Hansson, G. (2009) · Journal of Experimental Psychology General · doi:10.1037/a0017351 · Cited by 64
Clinical judgement in the era of big data and predictive analytics
Chin‐Yee, B., & Upshur, R. (2018) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.12852 · Cited by 59
Stock Market Investors: Who Is More Rational, and Who Relies on Intuition?
Hon-Snir, S., Kudryavtsev, A., & Cohen, G. (2012) · International Journal of Economics and Finance · doi:10.5539/ijef.v4n5p56 · Cited by 46
Halpern, D. F., & Wai, J. (2007) · Journal of Experimental Psychology: Applied · doi:10.1037/1076-898x.13.2.79 · Cited by 45
Fairness in representation: quantifying stereotyping as a representational harm
Abbasi, M., Friedler, S. A., Scheidegger, C., & Venkatasubramanian, S. (2019) · Proceedings of the 2019 SIAM International Conference on Data Mining · doi:10.1137/1.9781611975673.90 · Cited by 44
“This definition is based on the rep-resentativeness heuristic due to Kahnemann and Tver-sky [22, 23], a similarity heuristic that people rely on to judge the likelihood of uncertain events, instead of following the principles of probability theory [36].”
MethodAmericans overestimate the intergenerational persistence in income ranks
Cheng, S., & Wen, F. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1814688116 · Cited by 44
The narrative quality of action.
Sarbin, T. R. (1990) · Theoretical & Philosophical Psychology · doi:10.1037/h0091497 · Cited by 43
Bar-Hillel, M., Bar-Natan, D., Kalai, G., & McKay, B. (1999) · Statistical Science · doi:10.1214/ss/1009212243 · Cited by 38
Schulze, C., & Hertwig, R. (2021) · Cognition · doi:10.1016/j.cognition.2020.104580 · Cited by 36
The Motivational Underpinnings of Belief in God
Laurin, K., & Kay, A. C. (2017) · Advances in Experimental Social Psychology · doi:10.1016/bs.aesp.2017.02.004 · Cited by 38
Is higher inequality less legitimate? Depends on How You Frame it!
Bruckmüller, S., Reese, G., & Martiny, S. E. (2017) · British Journal of Social Psychology · doi:10.1111/bjso.12202 · Cited by 38
Exploring the conjunction fallacy within a category learning framework
Nilsson, H. (2008) · Journal of Behavioral Decision Making · doi:10.1002/bdm.615 · Cited by 36
The nudging effect of AIGC labeling on users’ perceptions of automated news: evidence from EEG
Liu, Y., Wang, S., & Yu, G. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1277829 · Cited by 32
What Makes Everyday Scientific Reasoning So Challenging?
(2017) · Psychology of Learning and Motivation · doi:10.1016/bs.plm.2016.11.006 · Cited by 29
Metadata
- Authors
- Kahneman, D., & Tversky, A.
- Venue
- Cognitive Psychology
- Publisher
- Elsevier BV
- Published
- 1972-07
- Volume
- 3
- Issue
- 3
- Pages
- 430-454
- ISSN
- 0010-0285 (ISSN-L)
- OpenAlex
- W2016377072
- Cited by
- 4,851
- References
- 28
- FWCI
- 19.72
- Type
- journal article
- Language
- en
- Open access
- closed
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