References
Aldag, R. J., and Fuller, S. R. (1993). Beyond fiasco: A reappraisal of
the groupthink phenomenon and a new model of group decision processes.
Psychological Bulletin, 113(3), 533–552. https://doi.org/10.1037/0033-2909.113.3.533
Ariely, D., Gneezy, U., Loewenstein, G., and Mazar, N. (2009). Large
stakes and big mistakes. The Review of Economic Studies,
76(2), 451–469. https://doi.org/10.1111/j.1467-937X.2009.00534.x
Arkes, H. R. (2013). The Consequences of the Hindsight Bias in Medical
Decision Making. Current Directions in Psychological Science,
22(5), 356–360. https://doi.org/10.1177/0963721413489988
Arrow, K. J., Forsythe, R., Gorham, M., Hahn, R., Hanson, R., Ledyard,
J. O., Levmore, S., Litan, R., Milgrom, P., Nelson, F. D., Neumann, G.
R., Ottaviani, M., Schelling, T. C., Shiller, R. J., Smith, V. L.,
Snowberg, E., Sunstein, C. R., Tetlock, P. C., Tetlock, P. E., …
Zitzewitz, E. (2008). The Promise of Prediction Markets.
Science, 320(5878), 877–878. https://doi.org/10.1126/science.1157679
Ashenfelter, O. (2008). Predicting the quality and prices of bordeaux
wine. The Economic Journal, 118(529), F174–F184. https://doi.org/10.1111/j.1468-0297.2008.02148.x
Ashenfelter, O., and Jones, G. V. (2013). The demand for expert opinion:
Bordeaux wine. Journal of Wine Economics, 8(3),
285–293. https://doi.org/10.1017/jwe.2013.22
Atanasov, P., Rescober, P., Stone, E., Swift, S. A., Servan-Schreiber,
E., Tetlock, P., Ungar, L., and Mellers, B. (2017). Distilling the
wisdom of crowds: Prediction markets vs. Prediction polls.
Management Science, 63(3), 691–706. https://doi.org/10.1287/mnsc.2015.2374
Ball, S. B., Bazerman, M. H., and Carroll, J. S. (1991). An evaluation
of learning in the bilateral winner’s curse. Organizational Behavior
and Human Decision Processes, 48(1), 1–22. https://doi.org/10.1016/0749-5978(91)90002-B
Bareket-Bojmel, L., Hochman, G., and Ariely, D. (2017).
It’s (Not) All About the Jacksons: Testing Different Types
of Short-Term Bonuses in the Field. Journal of Management,
43(2), 534–554. https://doi.org/10.1177/0149206314535441
Bazerman, M. H., and Moore, D. A. (2013). Judgment in managerial
decision making (8. ed). Wiley.
Berg, H., and Proebsting, T. A. (2012). Hanson’s Automated
Market Maker. The Journal of Prediction Markets, 3(1),
45–59. https://doi.org/10.5750/jpm.v3i1.451
Berg, J. E., Nelson, F. D., and Rietz, T. A. (2008). Prediction market
accuracy in the long run. International Journal of Forecasting,
24(2), 285–300. https://doi.org/10.1016/j.ijforecast.2008.03.007
Bertrand, M., and Mullainathan, S. (2004). Are emily and greg more
employable than lakisha and jamal? A field experiment on labor market
discrimination. American Economic Review, 94(4),
991–1013. https://doi.org/10.1257/0002828042002561
Bohnet, I. (2016). How to take the bias out of interviews. Harvard
Business Review. https://hbr.org/2016/04/how-to-take-the-bias-out-of-interviews
Bohnet, I., Geen, A. van, and Bazerman, M. (2016). When performance
trumps gender bias: Joint vs. Separate evaluation. Management
Science, 62(5), 1225–1234. https://doi.org/10.1287/mnsc.2015.2186
Bornstein, B. H., Christine Emler, A., and Chapman, G. B. (1999).
Rationality in medical treatment decisions: Is there a sunk-cost effect?
Social Science & Medicine, 49(2), 215–222. https://doi.org/10.1016/S0277-9536(99)00117-3
Brickley, J., Smith, C., and Zimmerman, J. (2020). Managerial
economics and organizational architecture (7th ed.). https://www.mheducation.com/highered/product/managerial-economics-organizational-architecture-brickley-smith/M9781260004748.html
Camerer, C., Babcock, L., Loewenstein, G., and Thaler, R. (1997). Labor
supply of new york city cabdrivers: One day at
a time*. The Quarterly Journal of Economics, 112(2),
407–441. https://doi.org/10.1162/003355397555244
Camerer, C., and Lovallo, D. (1999). Overconfidence and excess entry: An
experimental approach. THE AMERICAN
ECONOMIC REVIEW, 89(1), 13.
Chang, W., Chen, E., Mellers, B., and Tetlock, P. (2016). Developing
expert political judgment: The impact of training and practice on
judgmental accuracy in geopolitical forecasting tournaments.
Judgment and Decision Making, 11(5), 509–526. http://journal.sjdm.org/16/16511/jdm16511.pdf
Chen, K.-Y., and Plott, C. R. (2002). Information aggregation
mechanisms: Concept, design and implementation for a sales forecasting
problem. California Institute of Technology. https://doi.org/10.7907/N9Y0A-A5Y79
Coase, R. H. (1937). The nature of the firm. Economica,
4(16), 386–405. https://doi.org/10.1111/j.1468-0335.1937.tb00002.x
Codi, A., Luk, D., Braun, D., Cambeiro, J., Besiroglu, T., Chen, E.,
Cesaris, L. E. U. de, Bocchini, P., and McAndrew, T. (2022). Aggregating
human judgment probabilistic predictions of coronavirus disease 2019
transmission, burden, and preventive measures. Open Forum Infectious
Diseases, 9(8), ofac354. https://doi.org/10.1093/ofid/ofac354
Cowgill, B., and Zitzewitz, E. (2015). Corporate prediction markets:
Evidence from google, ford, and firm x. The Review of Economic
Studies, 82(4), 1309–1341. https://www.jstor.org/stable/43869468
Czerlinski, J., Gigerenzer, G., and Goldstein, D. G. (1999). How good
are simple heuristics. In G. Gigerenzer, P. Todd, and The ABC Research
Group (Eds.), Simple heuristics that make us smart. Oxford
University Press.
Dawes, R. M. (1979). The robust beauty of improper linear models in
decision making. American Psychologist, 34(7),
571–582. https://doi.org/10.1037/0003-066X.34.7.571
Dawson, N. V., Arkes, H. R., Siciliano, C., Blinkhorn, R., Lakshmanan,
M., and Petrelli, M. (1988). Hindsight Bias: An Impediment to Accurate
Probability Estimation in Clinicopathologic Conferences. Medical
Decision Making, 8(4), 259–264. https://doi.org/10.1177/0272989X8800800406
De Bondt, W. F. M., and Thaler, R. H. (1995). Chapter 13 financial
decision-making in markets and firms: A behavioral perspective. In
Handbooks in operations research and management science (Vol.
9, pp. 385–410). Elsevier. https://doi.org/10.1016/S0927-0507(05)80057-X
Dreber, A., Pfeiffer, T., Almenberg, J., Isaksson, S., Wilson, B., Chen,
Y., Nosek, B. A., and Johannesson, M. (2015). Using prediction markets
to estimate the reproducibility of scientific research. Proceedings
of the National Academy of Sciences, 112(50), 15343–15347.
https://doi.org/10.1073/pnas.1516179112
Dubner, S. (n.d.). Does doing good give you license to be bad?
(No. 335). Retrieved June 22, 2022, from https://freakonomics.com/podcast/does-doing-good-give-you-license-to-be-bad/
Einhorn, H. J. (1974). Expert judgment: Some necessary conditions and an
example. Journal of Applied Psychology, 59(5),
562–571. https://doi.org/10.1037/h0037164
Enke, B., Gneezy, U., Hall, B., Martin, D., Nelidov, V., Offerman, T.,
and Ven, J. van de. (2023). Cognitive biases: Mistakes or missing
stakes? The Review of Economics and Statistics,
105(4), 818–832. https://doi.org/10.1162/rest_a_01093
Farber, H. S. (2008). Reference-Dependent Preferences and Labor Supply:
The Case of New York City Taxi Drivers. American Economic
Review, 98(3), 1069–1082. https://doi.org/10.1257/aer.98.3.1069
Farber, H. S. (2015). Why you can’t find a taxi in the rain
and other labor supply lessons from cab drivers. The Quarterly
Journal of Economics, 130(4), 1975–2026. https://doi.org/10.1093/qje/qjv026
Farber, Henry S. (2005). Is tomorrow another day? The labor supply of
new york city cabdrivers. Journal of Political Economy,
113(1), 46–82. https://doi.org/10.1086/426040
Flyvbjerg, B. (2008). Curbing optimism bias and strategic
misrepresentation in planning: Reference class forecasting in practice.
European Planning Studies, 16(1), 3–21. https://doi.org/10.1080/09654310701747936
Fox, C. R., and Clemen, R. T. (2005). Subjective probability assessment
in decision analysis: Partition dependence and bias toward the ignorance
prior. Management Science, 51(9), 1417–1432. https://doi.org/10.1287/mnsc.1050.0409
Freymuth, A. K., and Ronan, G. F. (2004). Modeling patient
decision-making: The role of base-rate and anecdotal information.
Journal of Clinical Psychology in Medical Settings,
11(3), 211–216. https://doi.org/10.1023/B:JOCS.0000037615.23350.f3
Friedman, J. A., Baker, J. D., Mellers, B. A., Tetlock, P. E., and
Zeckhauser, R. (2018). The Value of Precision in Probability Assessment:
Evidence from a Large-Scale Geopolitical Forecasting Tournament.
International Studies Quarterly. https://doi.org/10.1093/isq/sqx078
Fuller, S. R., and Aldag, R. J. (1998). Organizational tonypandy:
Lessons from a quarter century of the groupthink phenomenon.
Organizational Behavior and Human Decision Processes,
73(2), 163–184. https://doi.org/10.1006/obhd.1998.2760
Galef, J. (n.d.). 168: Overconfidence (don moore) – rationally
speaking podcast (No. 168). Retrieved June 22, 2022, from http://rationallyspeakingpodcast.org/168-overconfidence-don-moore/
Gallop, D., and Bischoff, J. and. (2016). How to catch a black swan:
Measuring the benefits of the premortem technique for risk
identification. Journal of Enterprise Transformation,
6(2), 87–106. https://doi.org/10.1080/19488289.2016.1240118
Galotti, K. M. (1995). Memories of a ’decision-map’: Recall of a
real-life decision. Applied Cognitive Psychology,
9(4), 307–319. https://doi.org/10.1002/acp.2350090404
Galton, F. (1907). Vox populi. Nature, 75(1949),
450–451. https://doi.org/10.1038/075450a0
Garvin, D. (2013). How google sold its engineers on management.
Harvard Business Review. https://hbr.org/2013/12/how-google-sold-its-engineers-on-management
Gigerenzer, G., and Brighton, H. (2009). Homo heuristicus: Why biased
minds make better inferences. Topics in Cognitive Science,
1(1), 107–143. https://doi.org/10.1111/j.1756-8765.2008.01006.x
Gigone, D., and Hastie, R. (1997). Proper analysis of the accuracy of
group judgments. Psychological Bulletin, 121(1),
149–167. https://doi.org/10.1037/0033-2909.121.1.149
Gneezy, U., and List, J. A. (2006). Putting behavioral economics to
work: Testing for gift exchange in labor markets using field
experiments. Econometrica, 74(5), 1365–1384. https://doi.org/10.1111/j.1468-0262.2006.00707.x
Goldberg, L. R. (1970). Man versus model of man: A rationale, plus some
evidence, for a method of improving on clinical inferences.
Psychological Bulletin, 73(6), 422–432. https://doi.org/10.1037/h0029230
Goldin, C., and Rouse, C. (2000). Orchestrating impartiality: The impact
of "blind" auditions on female musicians. American Economic
Review, 90(4), 715–741. https://doi.org/10.1257/aer.90.4.715
Goodie, A. S., and Fantino, E. (1999). What does and does not alleviate
base-rate neglect under direct experience. Journal of Behavioral
Decision Making, 12(4), 307–335. https://doi.org/10.1002/(SICI)1099-0771(199912)12:4<307::AID-BDM324>3.0.CO;2-H
Grimstad, S., and Jørgensen, M. (2007). Inconsistency of expert
judgment-based estimates of software development effort. Journal of
Systems and Software, 80(11), 1770–1777. https://doi.org/10.1016/j.jss.2007.03.001
Grosskopf, B., Bereby-Meyer, Y., and Bazerman, M. (2007). On the
robustness of the winner’s curse phenomenon. Theory and
Decision, 63(4), 389–418. https://doi.org/10.1007/s11238-007-9034-6
Grove, W. M., Zald, D. H., Lebow, B. S., Snitz, B. E., and Nelson, C.
(2000). Clinical versus mechanical prediction: A meta-analysis.
Psychological Assessment, 12(1), 19–30. https://doi.org/10.1037/1040-3590.12.1.19
Hall, C. C., Ariss, L., and Todorov, A. (2007). The illusion of
knowledge: When more information reduces accuracy and increases
confidence. Organizational Behavior and Human Decision
Processes, 103(2), 277–290. https://doi.org/10.1016/j.obhdp.2007.01.003
Hanson, R. (2006). Decision markets for policy advice. In A. S. Gerber
and E. M. Patashnik (Eds.), Promoting the general welfare: New
perspectives on government performance. Brookings Institution
Press. http://ebookcentral.proquest.com/lib/uts/detail.action?docID=286939
Hanson, R. (2007). Logarithmic Markets Coring Rules for Modular
Combinatorial Information Aggregation. The Journal of Prediction
Markets, 1(1), 3–15. https://doi.org/10.5750/jpm.v1i1.417
Hauenstein, C. E., Thomas, R. P., Illingworth, D. A., and Dougherty, M.
R. (2025). Rethinking the Role of Teams and Training in Geopolitical
Forecasting: The Effect of Uncontrolled Method Variance on Statistical
Conclusions. Psychological Science, 36(1), 3–18. https://doi.org/10.1177/09567976241266481
Hayek, F. A. (1945). The use of knowledge in society. The American
Economic Review, 35(4), 519–530. https://www.jstor.org/stable/1809376
Hedblom, D., Hickman, B., and List, J. (2019). Toward an
understanding of corporate social responsibility: Theory and field
experimental evidence (No. w26222). National Bureau of Economic
Research. https://doi.org/10.3386/w26222
Hertwig, R., Fanselow, C., and Hoffrage, U. (2003). Hindsight bias: How
knowledge and heuristics affect our reconstruction of the past.
Memory, 11(4-5), 357–377. https://doi.org/10.1080/09658210244000595
Hill, G. W. (1982). Group versus individual performance: Are
n+1 heads better than one? Psychological
Bulletin, 91(3), 517–539. https://doi.org/10.1037/0033-2909.91.3.517
Hiscox, M. J., Oliver, T., Ridgway, M., Arcos-Holzinger, L., Warren, A.,
and Willis, A. (2017). Going blind to see more clearly: Unconscious
bias in australian public service shortlisting processes.
Commonwealth of Australia, Department of Prime Minister; Cabinet. https://behaviouraleconomics.pmc.gov.au/sites/default/files/projects/unconscious-bias.pdf
Hopman, J. W. (2007). Using forecasting markets to manage demand risk.
Intel Technology Journal, 11(2), 127–135.
Janis, I. L. (1972). Victims of groupthink: A psychological study of
foreign-policy decisions and fiascoes. Houghton Mifflin.
Jensen, M. C., and Heckling, W. H. (1995). Specific and general
knowledge, and organizational structure. Journal of Applied
Corporate Finance, 8(2), 4–18. https://doi.org/10.1111/j.1745-6622.1995.tb00283.x
Joyce, E. J., and Biddle, G. C. (1981). Anchoring and adjustment in
probabilistic inference in auditing. Journal of Accounting
Research, 19(1), 120–145. https://doi.org/10.2307/2490965
Kahneman, D. (2011). Thinking, fast and slow (1st edition).
Farrar, Straus; Giroux.
Kahneman, D., Rosenfield, A. M., Gandhi, L., and Blaser, T. (2016).
Noise: How to overcome the high, hidden cost of inconsistent decision
making. Harvard Business Review, 12. https://hbr.org/2016/10/noise
Kahneman, D., and Tversky, A. (1979). Prospect theory: An analysis of
decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185
Katzenstein, G. (1996). The debate on structured debate: Toward a
unified theory. Organizational Behavior and Human Decision
Processes, 66(3), 316–332. https://doi.org/10.1006/obhd.1996.0059
Klein, G. (1998). Sources of power: How people make decisions.
MIT Press.
Klein, G. (2007). Performing a project premortem. Harvard Business
Review, 85(9), 18–19. https://ezproxy.lib.uts.edu.au/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=heh&AN=26115394&site=ehost-live
Lai, C. K., Skinner, A. L., Cooley, E., Murrar, S., Brauer, M., Devos,
T., Calanchini, J., Xiao, Y. J., Pedram, C., Marshburn, C. K., Simon,
S., Blanchar, J. C., Joy-Gaba, J. A., Conway, J., Redford, L., Klein, R.
A., Roussos, G., Schellhaas, F. M. H., Burns, M., … Nosek, B. A. (2016).
Reducing implicit racial preferences: II. Intervention
effectiveness across time. Journal of Experimental Psychology:
General, 145(8), 1001–1016. https://doi.org/10.1037/xge0000179
Laughlin, P. R., VanderStoep, S. W., and Hollingshead, A. B. (1991).
Collective versus individual induction: Recognition of truth, rejection
of error, and collective information processing. Journal of
Personality and Social Psychology, 61(1), 50–67. https://doi.org/10.1037/0022-3514.61.1.50
List, J. A. (2002). Preference reversals of a different kind: The
"more is less" phenomenon. The American
Economic Review, 92(5), 1636–1643. https://doi.org/10.1257/000282802762024692
List, J. A. (2003). Does market experience eliminate market anomalies?
Quarterly Journal of Economics, 118(1), 41. https://doi.org/10.1162/00335530360535144
List, J. A., and Momeni, F. (2021). When corporate social responsibility
backfires: Evidence from a natural field experiment. Management
Science, 67(1), 8–21. https://doi.org/10.1287/mnsc.2019.3540
Logg, J. M., Minson, J. A., and Moore, D. A. (2019). Algorithm
appreciation: People prefer algorithmic to human judgment.
Organizational Behavior and Human Decision Processes,
151, 90–103. https://doi.org/10.1016/j.obhdp.2018.12.005
Louie, T. A. (1999). Decision makers’ hindsight bias after receiving
favorable and unfavorable feedback. Journal of Applied
Psychology, 84(1), 29–41. https://doi.org/10.1037/0021-9010.84.1.29
Lovallo, D., Clarke, C., and Camerer, C. (2012). Robust analogizing and
the outside view: Two empirical tests of case-based decision making.
Strategic Management Journal, 33(5), 496–512. https://doi.org/10.1002/smj.962
Lovallo, D., and Kahneman, D. (2003). Delusions of success: How optimism
undermines executives’ decisions. Harvard Business
Review, July 2003. https://hbr.org/2003/07/delusions-of-success-how-optimism-undermines-executives-decisions
Manski, C. F. (2006). Interpreting the predictions of prediction
markets. Economics Letters, 91(3), 425–429. https://doi.org/10.1016/j.econlet.2006.01.004
Martin, V. (2017). When to quit: Narrow bracketing and reference
dependence in taxi drivers. Journal of Economic Behavior &
Organization, 144, 166–187. https://doi.org/10.1016/j.jebo.2017.09.024
Mauboussin, A., and Mauboussin, M. J. (2018). If you say something is
“likely,” how likely do people think it is?
Harvard Business Review. https://hbr.org/2018/07/if-you-say-something-is-likely-how-likely-do-people-think-it-is
McAndrew, T., Wattanachit, N., Gibson, G. C., and Reich, N. G. (2021).
Aggregating predictions from experts: A review of statistical methods,
experiments, and applications. Wiley Interdisciplinary Reviews.
Computational Statistics, 13(2), e1514. https://doi.org/10.1002/wics.1514
Meehl, P. E. (2013). Clinical versus statistical prediction: A
theoretical analysis and a review of the evidence. Echo Point Books
& Media.
Mellers, B., Ungar, L., Baron, J., Ramos, J., Gurcay, B., Fincher, K.,
Scott, S. E., Moore, D., Atanasov, P., Swift, S. A., Murray, T., Stone,
E., and Tetlock, P. E. (2014). Psychological Strategies for Winning a
Geopolitical Forecasting Tournament. Psychological Science,
25(5), 1106–1115. https://doi.org/10.1177/0956797614524255
Mitchell, D. J., Edward Russo, J., and Pennington, N. (1989). Back to
the future: Temporal perspective in the explanation of events.
Journal of Behavioral Decision Making, 2(1), 25–38. https://doi.org/10.1002/bdm.3960020103
Moore, D. A., and Healy, P. J. (2008). The trouble with overconfidence.
Psychological Review, 115(2), 502–517. https://doi.org/10.1037/0033-295X.115.2.502
Moore, D. A., Oesch, J. M., and Zietsma, C. (2007). What competition?
Myopic self-focus in market-entry decisions. Organization
Science, 18(3), 440–454. https://doi.org/10.1287/orsc.1060.0243
Newell, B. R., Lagnado, D. A., and Shanks, D. R. (2007). Straight
choices: The psychology of decision making. Psychology Press.
Newell, B. R., Lagnado, D. A., and Shanks, D. R. (2022). Straight
choices: The psychology of decision making (3rd ed.). Psychology
Press.
Oskamp, S. (1965). Overconfidence in case-study judgments. Journal
of Consulting Psychology, 29(3), 261–265. https://doi.org/10.1037/h0022125
Paluck, E. L., and Green, D. P. (2009). Prejudice reduction: What works?
A review and assessment of research and practice. Annual Review of
Psychology, 60(1), 339–367. https://doi.org/10.1146/annurev.psych.60.110707.163607
Raff, D. M. G., and Summers, L. H. (1987). Did henry ford pay efficiency
wages? Journal of Labor Economics, 5(4), S57–S86. https://www.jstor.org/stable/2534911
Roberts, R. (n.d.). Bent flyvbjerg on megaprojects. Retrieved
June 22, 2022, from https://www.econtalk.org/bent-flyvbjerg-on-megaprojects/
Roll, R. (1984). Orange juice and weather. The American Economic
Review, 74(5), 861–880. https://www.jstor.org/stable/549
Rosenzweig, P. (2007). Misunderstanding the nature of company
performance: The halo effect and other business delusions.
California Management Review, 49(4), 6–20. https://doi.org/10.2307/41166403
Rosenzweig, P. (2014). The halo effect. Simon & Schuster.
https://www.simonandschuster.com/books/The-Halo-Effect/Phil-Rosenzweig/9781476784038
Rowe, G., and Wright, G. (2001). Expert opinions in forecasting: The
role of the delphi technique. In J. S. Armstrong (Ed.), Principles
of forecasting (Vol. 30, pp. 125–144). Springer US. https://doi.org/10.1007/978-0-306-47630-3_7
Samuelson, W. F., and Bazerman, M. (1985). Negotiation under the
winner’s curse. In V. Smith (Ed.), Research in experimental
economics, vol. III. JAI Press.
Schulz-Hardt, S., Frey, D., Lüthgens, C., and Moscovici, S. (2000).
Biased information search in group decision making. Journal of
Personality and Social Psychology, 78(4), 655–669. https://doi.org/10.1037/0022-3514.78.4.655
Servan-Schreiber, E., Wolfers, J., Pennock, D. M., and Galebach, B.
(2004). Prediction markets: Does money matter? Electronic
Markets, 14(3), 243–251. https://doi.org/10.1080/1019678042000245254
Shaw, J. D., and Gupta, N. (2015). Let the evidence speak again!
Financial incentives are more effective than we thought. Human
Resource Management Journal, 25(3), 281–293. https://doi.org/10.1111/1748-8583.12080
Simon, H. A. (1991). Organizations and markets. Journal of Economic
Perspectives, 5(2), 25–44. https://doi.org/10.1257/jep.5.2.25
Slovic, P. (1973). Behavioral problems of adhering to a decision
policy.pdf. http://hdl.handle.net/1794/23607
Sniezek, J. A., and Henry, R. A. (1989). Accuracy and confidence in
group judgment. Organizational Behavior and Human Decision
Processes, 43(1), 1–28. https://doi.org/10.1016/0749-5978(89)90055-1
Sonnemann, U., Camerer, C. F., Fox, C. R., and Langer, T. (2013). How
psychological framing affects economic market prices in the lab and
field. Proceedings of the National Academy of Sciences,
110(29), 11779–11784. https://doi.org/10.1073/pnas.1206326110
Stahlberg, D., Eller, F., Maass, A., and Frey, D. (1995). We knew it all
along: Hindsight bias in groups. Organizational Behavior and Human
Decision Processes, 63(1), 46–58. https://doi.org/10.1006/obhd.1995.1060
Stasser, G., and Dietz-Uhler, B. (2001). Collective choice, judgment,
and problem solving. In Blackwell handbook of social psychology:
Group processes (pp. 31–55). John Wiley & Sons, Ltd. https://doi.org/10.1002/9780470998458.ch2
Stasser, G., Stewart, D. D., and Wittenbaum, G. M. (1995). Expert roles
and information exchange during discussion: The importance of knowing
who knows what. Journal of Experimental Social Psychology,
31(3), 244–265. https://doi.org/10.1006/jesp.1995.1012
Staw, B. M. (1975). Attribution of the “causes” of
performance: A general alternative interpretation of cross-sectional
research on organizations. Organizational Behavior and Human
Performance, 13(3), 414–432. https://doi.org/10.1016/0030-5073(75)90060-4
Story, M. (2022). Why i generally don’t recommend internal
prediction markets or forecasting tournaments to organisations. https://mwstory.substack.com/p/why-i-generally-dont-recommend-internal
Strumpf, K., and Rhode, P. (2006). Manipulating political stock markets:
A field experiment and a century of observational data. IDEAS
Working Paper Series from RePEc. https://www.proquest.com/docview/1698037996?pq-origsite=primo&sourcetype=Working%20Papers
Sunstein, C. R., and Hastie, R. (2014). Making dumb groups smarter.
Harvard Business Review. https://hbr.org/2014/12/making-dumb-groups-smarter
Sunstein, C. R., and Hastie, R. (2015). Wiser: Getting beyond
groupthink to make groups smarter. Harvard Business Review Press.
https://store.hbr.org/product/wiser-getting-beyond-groupthink-to-make-groups-smarter/2299
Tetlock, P. E. (2005). Expert political judgment. Princeton
University Press. https://press.princeton.edu/books/hardcover/9780691178288/expert-political-judgment
Tetlock, P. E., and Gardner, D. (2016). Superforecasting.
Crown. https://www.penguinrandomhouse.com/books/227815/superforecasting-by-philip-e-tetlock-and-dan-gardner/
Thorndike, E. L. (1920). A constant error in psychological ratings.
Journal of Applied Psychology, 4(1), 25–29. https://doi.org/10.1037/h0071663
Thorndike, R. L. (1938). The effect of discussion upon the correctness
of group decisions, when the factor of majority influence is allowed
for. The Journal of Social Psychology, 9(3), 343–362.
https://doi.org/10.1080/00224545.1938.9920036
Tversky, A., and Kahneman, D. (1973). Availability: A heuristic for
judging frequency and probability. Cognitive Psychology,
5(2), 207–232. https://doi.org/10.1016/0010-0285(73)90033-9
Tversky, A., and Kahneman, D. (1974). Judgment under uncertainty:
Heuristics and biases. Science, 185(4157), 1124–1131.
https://doi.org/10.1126/science.185.4157.1124
Tversky, A., and Kahneman, D. (1982). Judgments of and by
representativeness. In A. Tversky, D. Kahneman, and P. Slovic (Eds.),
Judgment under uncertainty: Heuristics and biases (pp. 84–98).
Cambridge University Press. https://doi.org/10.1017/CBO9780511809477.007
Veinott, B., Klein, G. A., and Wiggins, S. (2010). 7th International
ISCRAM Conference.
Whitaker, N., and Mazlish, J. Z. (2024). Why prediction markets
aren’t popular. Works in Progress. https://worksinprogress.co/issue/why-prediction-markets-arent-popular/
Wiblin, R. (n.d.). Prof tetlock on predicting catastrophe, keeping
your politics secret & when experts know more than you.
Retrieved June 24, 2022, from https://80000hours.org/podcast/episodes/prof-tetlock-predicting-the-future/
Wolfers, J., and Zitzewitz, E. (2004). Prediction Markets. Journal
of Economic Perspectives, 18(2), 107–126. https://doi.org/10.1257/0895330041371321
Wolfers, J., and Zitzewitz, E. (2006). Five open questions about
prediction markets. National Bureau of Economic Research,
w12060. https://doi.org/10.3386/w12060