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Omission and commission in judgment and choice
Open accessAbstract
Subjects read scenarios concerning pairs of options. One option was an omission, the other, a commission. Intentions, motives, and consequences were held constant. Subjects either judged the morality of actors by their choices or rated the goodness of decision options. Subjects often rated harmful omissions as less immoral, or less bad as decisions, than harmful commissions. Such ratings were associated with judgments that omissions do not cause outcomes. The effect of commission is not simply an exaggerated response to commissions: a reverse effect for good outcomes was not found, and a few subjects were even willing to accept greater harm in order to avoid action. The “omission bias” revealed in these experiments can be described as an overgeneralization of a useful heuristic to cases in which it is not justified. Additional experiments indicated that subjects' judgments about the immorality of omissions and commissions are dependent on several factors that ordinarily distinguish omissions and commissions: physical movement in commissions, the presence of salient alternative causes in omissions, and the fact that the consequences of omissions would occur if the actor were absent or ignorant of the effects of not acting.
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Cites
Judgment 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
Kahneman, D., & Tversky, A. (1984) · American Psychologist · doi:10.1037/0003-066x.39.4.341 · Cited by 6,544
The processes of causal attribution.
Kelley, H. H. (1973) · American Psychologist · doi:10.1037/h0034225 · Cited by 4,025 · cited 6×
“Following the principle of causal discounting (Kelley, 1973), the perceived causal role of the actor is diminished by the salience of the other cause.”
BackgroundInfluentialGroup inhibition of bystander intervention in emergencies.
Latane, B., & Darley, J. M. (1968) · Journal of Personality and Social Psychology · doi:10.1037/h0026570 · Cited by 1,252 · cited 2×
“Diusion of Responsibility . According to the Diusion of Responsibility theory, when an individual realizes that another person is in danger, he is less likely to intervene if he believes that other people are present ( Latane and Darley, 1968 ).”
BackgroundOutcome Bias in Decision Evaluation
Baron, J., & Hershey, J. C. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.4.569 · Cited by 873 · cited 2×
“Baron and Hershey (1988) found that subjects evaluated identical decisions as well made or poorly made depending on whether their consequences were good or bad, even when the subjects knew everything that the decision maker knew at the time the decision was made.”
BackgroundSelf-citation
Cited by
Representativeness revisited: Attribute substitution in intuitive judgment.
Kahneman, D., & Frederick, S. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.004 · Cited by 3,476
Consumer Choice between Hedonic and Utilitarian Goods
Dhar, R., & Wertenbroch, K. (2000) · Journal of Marketing Research · doi:10.1509/jmkr.37.1.60.18718 · Cited by 2,239
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
Cognitive assessment of obsessive-compulsive disorder
(1997) · Behaviour Research and Therapy · doi:10.1016/s0005-7967(97)00017-x · Cited by 963
Reluctance to vaccinate: Omission bias and ambiguity
Ritov, I., & Baron, J. (1990) · Journal of Behavioral Decision Making · doi:10.1002/bdm.3960030404 · Cited by 854
Self-citationAnalyzing ordinal data with metric models: What could possibly go wrong?
Liddell, T. M., & Kruschke, J. K. (2018) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2018.08.009 · Cited by 805
Status-quo and omission biases
Ritov, I., & Baron, J. (1992) · Journal of Risk and Uncertainty · doi:10.1007/bf00208786 · Cited by 613
Self-citationBornstein, B. H., & Emler, A. C. (2001) · Journal of Evaluation in Clinical Practice · doi:10.1046/j.1365-2753.2001.00284.x · Cited by 353
Park, C. W., Jun, S. Y., & Macinnis, D. J. (2000) · Journal of Marketing Research · doi:10.1509/jmkr.37.2.187.18731 · Cited by 316
Accountability amplifies the status quo effect when change creates victims
Tetlock, P. E., & Boettger, R. (1994) · Journal of Behavioral Decision Making · doi:10.1002/bdm.3960070102 · Cited by 268
Roese, N. J., Hur, T., & Pennington, G. L. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.77.6.1109 · Cited by 213
Patterns of Moral Judgment Derive From Nonmoral Psychological Representations
Cushman, F., & Young, L. (2011) · Cognitive Science · doi:10.1111/j.1551-6709.2010.01167.x · Cited by 179
Strategic Ignorance and the Robustness of Social Preferences
Grossman, Z. (2014) · Management Science · doi:10.1287/mnsc.2014.1989 · Cited by 176
Confused by too many choices? Choice overload in tourism
Park, J.-Y., & Jang, S. (. (2013) · Tourism Management · doi:10.1016/j.tourman.2012.05.004 · Cited by 171
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
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
Do ‘big losses’ in judgmental adjustments to statistical forecasts affect experts’ behaviour?
Petropoulos, F., Fildes, R., & Goodwin, P. (2016) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.06.002 · Cited by 71
Capable but Amoral? Comparing AI and Human Expert Collaboration in Ethical Decision Making
Tolmeijer, S., Christen, M., Kandul, S., Kneer, M., & Bernstein, A. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517732 · Cited by 70
Valuing different human lives.
Goodwin, G. P., & Landy, J. F. (2014) · Journal of Experimental Psychology: General · doi:10.1037/a0032796 · Cited by 48
Causal Responsibility and Robust Causation
Grinfeld, G., Lagnado, D., Gerstenberg, T., Woodward, J. F., & Usher, M. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01069 · Cited by 41
Team dynamics in human-AI collaboration: effects on confidence, satisfaction, and accountability
Yousefi, M., Shahi, A., Sharifi, M., J Jorge Romera, A., Hoermann, S., & Piumsomboon, T. (2025) · Proceedings of the 27th International Conference on Multimodal Interaction · doi:10.1145/3716553.3750776 · Cited by 7
Metadata
- Authors
- Spranca, M., Minsk, E., & Baron, J.
- Venue
- Journal of Experimental Social Psychology
- Publisher
- Elsevier BV
- Published
- 1991-01
- Volume
- 27
- Issue
- 1
- Pages
- 76-105
- ISSN
- 0022-1031 (ISSN-L)
- OpenAlex
- W1989658754
- Cited by
- 1,041
- References
- 5
- FWCI
- 17.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
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