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Fault trees: sensitivity of estimated failure probabilities to problem representation
Abstract
Abstract : Fault trees represent problem situations by organizing things that could go wrong into functional categories. Such trees are essential devices for analyzing and evaluating the fallibility of complex systems. They follow many different formats, sometimes by design, other times inadvertently. Major results were: people were quite insensitive to what had been left out of a fault tree, increasing the amount of detail for the tree as a whole or just for some of its branches produced small effects on perceptions, and the perceived importance of a particular branch was increased by presenting it in pieces (as two separate component branches). Aside from their relevance for the study of problem solving, such results may have important implications for how best to inform the public about technological risks and to involve it in policy decisions and how experts should perform fault-tree analyses of the risks from technological systems.
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“In the unpacking effect, participants judge, say, 'being a lawyer', to be less probable than the 'unpacked' description 'being a tax, corporate, patent, or other type of lawyer' [44][45][46].”
From Bayesian Brains without Probabilities (2016) · cites this paper as [44]
Citations
Cites
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
Axten, N., Newell, A., & Simon, H. A. (1973) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2063712 · Cited by 6,886
Newell, A. (1972) · Cited by 6,222
Carroll, J. S., & Payne, J. W. (2014) · Psychology Press eBooks · doi:10.4324/9781315802879 · Cited by 655
Cognitive Processes and Societal Risk Taking
Slovic, P., Fischhoff, B., & Lichtenstein, S. (1976) · Springer eBooks · doi:10.1007/978-94-010-1276-8_2 · Cited by 310
Self-citationAttribution Theory and Advertiser Credibility
Settle, R. B., & Golden, L. L. (1974) · Journal of Marketing Research · doi:10.1177/002224377401100209 · Cited by 185
Combining information from sources that vary in credibility
Birnbaum, M. H., Wong, R., & Wong, L. K. (1976) · Memory & Cognition · doi:10.3758/bf03213185 · Cited by 99
Cost benefit analysis and the art of motorcycle maintenance
Fischhoff, B. (1977) · Policy Sciences · doi:10.1007/bf01712294 · Cited by 95
Self-citationRepresentation of frequency in memory.
Howell, W. C. (1973) · Psychological Bulletin · doi:10.1037/h0034648 · Cited by 68
Direct measures of availability and judgments of category frequency
Marom, T., & Fischhoff, B. (1977) · Bulletin of the Psychonomic Society · doi:10.3758/bf03336986 · Cited by 28
Self-citation
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An evaluation of human act generation performance
Gettys, C. F., Pliske, R. M., Manning, C., & Casey, J. T. (1987) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(87)90044-6 · Cited by 151
Sanbonmatsu, D. M., Posavac, S. S., Kardes, F. R., & Mantel, S. P. (1998) · Psychonomic Bulletin & Review · doi:10.3758/bf03212944 · Cited by 154
Cognitive and motivational factors influencing time prediction.
Byram, S. J. (1997) · Journal of Experimental Psychology Applied · doi:10.1037/1076-898x.3.3.216 · Cited by 149
Gilbert, D. T. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.011 · Cited by 153
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Schwarz, N. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.031 · Cited by 149
Improving the way we think about projecting future energy use and emissions of carbon dioxide
Morgan, M. G., & Keith, D. W. (2008) · Climatic Change · doi:10.1007/s10584-008-9458-1 · 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
Bown, N. J., Read, D., & Summers, B. A. (2003) · Journal of Behavioral Decision Making · doi:10.1002/bdm.447 · Cited by 153
Baron, J., & Greene, J. D. (1996) · Journal of Experimental Psychology Applied · doi:10.1037/1076-898x.2.2.107 · Cited by 147
Reflections on Risk Perception and Policy 1, 2
Otway, H. J., & Thomas, K. (1982) · Risk Analysis · doi:10.1111/j.1539-6924.1982.tb01368.x · Cited by 156
On accident analysis and slip-resistance measurement
Strandberg, L. (1983) · Ergonomics · doi:10.1080/00140138308963309 · Cited by 146
Moore, D., Tenney, E., & Haran, U. (2015) · doi:10.1002/9781118468333.ch6 · Cited by 106
Representing and communicating deep uncertainty in climate-change assessments
Kandlikar, M., Risbey, J. S., & Dessai, S. (2005) · Comptes Rendus Géoscience · doi:10.1016/j.crte.2004.10.010 · Cited by 149
A note on superadditive probability judgment.
Macchi, L., Osherson, D. N., & Krantz, D. H. (1999) · Psychological Review · doi:10.1037/0033-295x.106.1.210 · Cited by 140
The Base Rate Fallacy Controversy
Bar‐Hillel, M. (1983) · Advances in psychology · doi:10.1016/s0166-4115(08)62193-7 · Cited by 139
A critique of current practice for the use of expert opinions in probabilistic risk assessment
Mosleh, A., Bier, V. M., & Apostolakis, G. (1988) · Reliability Engineering & System Safety · doi:10.1016/0951-8320(88)90006-3 · Cited by 136
Studies in subjective probability III: The unimportance of alternatives
Teigen, K. H. (1983) · Scandinavian Journal of Psychology · doi:10.1111/j.1467-9450.1983.tb00481.x · Cited by 129
An availability bias in professional judgment
Dubé, L., & Russo, J. E. (1988) · Journal of Behavioral Decision Making · doi:10.1002/bdm.3960010403 · Cited by 128
The effects of statistical training on choice heuristics in choice under uncertainty
Hansen, D. E., & Helgeson, J. G. (1996) · Journal of Behavioral Decision Making · doi:10.1002/(sici)1099-0771(199603)9:1 · Cited by 12
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Fischhoff, B. (1989) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/21.31052 · Cited by 126
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Gettys, C. F., Mehle, T., & Fisher, S. D. (1986) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(86)90042-7 · Cited by 125
Pitz, G. F., & Harren, V. A. (1980) · Journal of Vocational Behavior · doi:10.1016/0001-8791(80)90059-7 · Cited by 127
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Baillon, A., & Bleichrodt, H. (2015) · American Economic Journal Microeconomics · doi:10.1257/mic.20130196 · Cited by 127
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The availability explanation of excessive plausibility assessments
Mehle, T., Gettys, C. F., Manning, C., Baca, S., & Fisher, S. D. (1981) · Acta Psychologica · doi:10.1016/0001-6918(81)90024-x · Cited by 122
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Miller, D. T., & Taylor, B. R. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.023 · Cited by 120
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Gigerenzer, G., Czerlinski, J., & Martignon, L. F. (1999) · Springer eBooks · doi:10.1007/978-1-4615-5089-1_6 · Cited by 125
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Pronin, E., Puccio, C., & Ross, L. D. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.038 · Cited by 120
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Hirshleifer, D. A. (2008) · European Financial Management · doi:10.1111/j.1468-036x.2007.00437.x · Cited by 137
Goldstein, W. M., & Weber, E. U. (1995) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(08)60308-4 · Cited by 119
Consumer product warnings: The role of hazard perception
Wogalter, M. S., Brelsford, J. W., Desaulniers, D. R., & Laughery, K. R. (1991) · Journal of Safety Research · doi:10.1016/0022-4375(91)90015-n · Cited by 118
Peters, E. M., McCaul, K. D., Stefanek, M. E., & Nelson, W. (2006) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm3101_8 · Cited by 117
Ülkümen, G., Thomas, M., & Morwitz, V. G. (2008) · Journal of Consumer Research · doi:10.1086/587627 · Cited by 118
Bordalo, P., Conlon, J. J., Gennaioli, N., Kwon, S. Y., & Shleifer, A. (2021) · The Quarterly Journal of Economics · doi:10.1093/qje/qjac031 · Cited by 127
Fixation Errors: Failures to Revise Situation Assessment in Dynamic and Risky Systems
Keyser, V. D., & Woods, D. (1990) · Ispra courses on reliability and risk analysis · doi:10.1007/978-94-009-0649-5_11 · Cited by 140
Buehler, R., Griffin, D. W., & Peetz, J. (2010) · Advances in experimental social psychology · doi:10.1016/s0065-2601(10)43001-4 · Cited by 110
Stopping Behavior of Systems Analysts During Information Requirements Elicitation
Pitts, M. G., & Browne, G. J. (2004) · Journal of Management Information Systems · doi:10.1080/07421222.2004.11045795 · Cited by 107
Spreadsheet Errors: What We Know. What We Think We Can Do
Panko, R. R. (2008) · arXiv · doi:10.48550/arxiv.0802.3457 · Cited by 107
Extensional versus Intuitive Reasoning
Tversky, A., & Kahneman, D. J. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.003 · Cited by 111
Cognitive failures and accidents
Wagenaar, W. A., Hudson, P. T. W., & REASON, J. T. (1990) · Applied Cognitive Psychology · doi:10.1002/acp.2350040405 · Cited by 106
Hammersley, J. S., Bamber, E. M., & Carpenter, T. D. (2010) · The Accounting Review · doi:10.2308/accr.2010.85.2.547 · Cited by 105
Strength of Evidence, Judged Probability, and Choice Under Uncertainty
Fox, C. R. (1999) · Cognitive Psychology · doi:10.1006/cogp.1998.0711 · Cited by 105
Understanding the building blocks of dynamic systems
Cronin, M. A., & González, C. (2007) · System Dynamics Review · doi:10.1002/sdr.356 · Cited by 103
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Li, Y. (2009) · Asia Pacific Journal of Management · doi:10.1007/s10490-009-9145-4 · Cited by 106
Frederick, S. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.032 · Cited by 103
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Katzman, M. T. (1988) · Journal of Risk & Insurance · doi:10.2307/253282 · Cited by 100
Stopping rule use during information search in design problems
Browne, G. J., & Pitts, M. G. (2004) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2004.05.001 · Cited by 100
The alternative-outcomes effect.
Windschitl, P. D., & Wells, G. L. (1998) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.75.6.1411 · Cited by 99
It's About Time: Optimistic Predictions in Work and Love
Buehler, R., Griffin, D. W., & Ross, M. (1995) · European Review of Social Psychology · doi:10.1080/14792779343000112 · Cited by 99
Context awareness for maintenance decision making: A diagnosis and prognosis approach
Galar, D. P., Thaduri, A., Catelani, M., & Ciani, L. (2015) · Measurement · doi:10.1016/j.measurement.2015.01.015 · Cited by 98
McGuire, W. J. (1993) · Duke University Press eBooks · doi:10.1215/9780822396697-003 · Cited by 98
Idea Habitats: How the Prevalence of Environmental Cues Influences the Success of Ideas
Berger, J. A., & Heath, C. (2005) · Cognitive Science · doi:10.1207/s15516709cog0000_10 · Cited by 96
Cognitive biases and time stress in team decision making
Lehner, P., Seyed-Solorforough, M.-M., O’Connor, M. F., Sak, S. T., & Mullin, T. (1997) · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · doi:10.1109/3468.618269 · Cited by 101
The enhancement effect in probability judgment
Koehler, D. J., Brenner, L. A., & Tversky, A. (1997) · Journal of Behavioral Decision Making · doi:10.1002/(sici)1099-0771(199712)10:4 · Cited by 96
The strategic management of the entitlement process in the employment relationship
Heath, C., Knez, M., & Camerer, C. F. (1993) · Strategic Management Journal · doi:10.1002/smj.4250141008 · Cited by 93
Decision makers conceive of their choices as interventions.
Hagmayer, Y., & Sloman, S. A. (2009) · Journal of Experimental Psychology General · doi:10.1037/a0014585 · Cited by 92
How to Be IncoherentandSeductive: Bookmakers' Odds and Support Theory
Ayton, P. (1997) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.1997.2732 · Cited by 91
Gilovich, T. D., & Griffin, D. W. (2010) · Wiley eBooks · doi:10.1002/9780470561119.socpsy001015 · Cited by 93
Uncertainty and the difficulty of thinking through disjunctions
Shafir, E. B. (1994) · Cognition · doi:10.1016/0010-0277(94)90038-8 · Cited by 93
The threat of weighting biases in environmental decision analysis
Hämäläinen, R., & Alaja, S. (2008) · Ecological Economics · doi:10.1016/j.ecolecon.2008.05.025 · Cited by 98
Cognitive Barriers in the Scenario Development Process
Bradfield, R. (2008) · Advances in Developing Human Resources · doi:10.1177/1523422307313320 · Cited by 86
Perspective—Chance Explanations in the Management Sciences
Denrell, J. C., Fang, C., & Liu, C. (2014) · Organization Science · doi:10.1287/orsc.2014.0946 · Cited by 97
Memory Beliefs as Social Cognition: A Reconceptualization of What Memory Questionnaires Assess
Cavanaugh, J. C., Feldman, J. M., & Hertzog, C. K. (1998) · Review of General Psychology · doi:10.1037/1089-2680.2.1.48 · Cited by 89
How long will it take? Power biases time predictions
Weick, M., & Guinote, A. (2010) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2010.03.005 · Cited by 85
Cianci, A. M., & Bierstaker, J. L. (2009) · Auditing A Journal of Practice & Theory · doi:10.2308/aud.2009.28.2.119 · Cited by 85
Neglect of Alternative Causes in Predictive but Not Diagnostic Reasoning
Fernbach, P. M., Darlow, A., & Sloman, S. A. (2010) · Psychological Science · doi:10.1177/0956797610361430 · Cited by 85
Bondt, W. F. M. D., & Thaler, R. H. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.040 · Cited by 82
What Do We Know About Making Risk Comparisons?
Roth, E., Morgan, M. G., Fischhoff, B., Lave, L., & Bostrom, A. (1990) · Risk Analysis · doi:10.1111/j.1539-6924.1990.tb00520.x · Cited by 110
Self-citationUngemach, C., Camilleri, A. R., Johnson, E. J., Larrick, R. P., & Weber, E. U. (2017) · Management Science · doi:10.1287/mnsc.2016.2703 · Cited by 88
Requirements for Psychological Models to Support Design: Toward Ecological Task Analysis
Kirlik, A. (2018) · CRC Press eBooks · doi:10.1201/9780203753095-4 · Cited by 81
Future-focussed thinking: combining scenario planning with decision analysis
Wright, G., & Goodwin, P. (1999) · Journal of Multi-Criteria Decision Analysis · doi:10.1002/1099-1360(199911)8:6 · Cited by 79
A New Approach To System Safety Engineering
Leveson, N. G. (2005) · Cited by 78
Models of accident causation and their application: Review and reappraisal
Lehto, M. R., & Salvendy, G. (1991) · Journal of Engineering and Technology Management · doi:10.1016/0923-4748(91)90028-p · Cited by 78
Uncovering unknown unknowns: Towards a Baconian approach to management decision-making
Feduzi, A., & Runde, J. (2014) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2014.04.001 · Cited by 85
Hypothesis generation in an automobile malfunction inference task
Mehle, T. (1982) · Acta Psychologica · doi:10.1016/0001-6918(82)90028-2 · Cited by 78
Fischhoff, B., & de Bruin, W. B. (1999) · Journal of Behavioral Decision Making · doi:10.1002/(sici)1099-0771(199906)12:2 · Cited by 217
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Dougherty, M. R. P., Gettys, C. F., & Thomas, R. P. (1997) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.1997.2700 · Cited by 76
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Leveson, N. G. (2011) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 76
Leveson, N. G. (1995) · Elsevier eBooks · doi:10.1016/b978-0-7506-2255-4.50110-0 · Cited by 75
Nuclear Regulatory Commission, W., Bonano, E. J., NRC, Sandia National Labs., A., Hora, S. C., Keeney, R. L., & von Winterfeldt, D. (1990) · doi:10.2172/6842967 · Cited by 74
Do consumers know what they want?
Riquelme, H. E. (2001) · Journal of Consumer Marketing · doi:10.1108/07363760110398772 · Cited by 73
Roszkowski, M. J., & Grable, J. E. (2008) · Cited by 73
Belief and Preference in Decision Under Uncertainty
Fox, C. R., & See, K. E. (2003) · Wiley eBooks · doi:10.1002/047001332x.ch14 · Cited by 74
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Savitsky, K., Leaf Van Boven, A., Nicholas Epley, A., & Wight, W. M. (2004) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2004.08.008 · Cited by 73
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Fiedler, K., & Wänke, M. (2009) · Social Cognition · doi:10.1521/soco.2009.27.5.699 · Cited by 72
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Sanbonmatsu, D. M., Kardes, F. R., Houghton, D. C., Ho, E. A., & Posavac, S. S. (2003) · Journal of Consumer Psychology · doi:10.1207/s15327663jcp1303_10 · Cited by 71
Boardman, F. (2014) · Social Science & Medicine · doi:10.1016/j.socscimed.2014.02.025 · Cited by 70
Sjöberg, L. (1980) · Acta Psychologica · doi:10.1016/0001-6918(80)90039-6 · Cited by 72
Self-Anchoring in Conversation: Why Language Users Do Not Do What They “Should”
Keysar, B., & Barr, D. J. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.010 · Cited by 67
Overprecision is a property of thinking systems.
Moore, D. A. (2022) · Psychological Review · doi:10.1037/rev0000370 · Cited by 66
Teaching scenario planning: Lessons from practice in academe and business
Wright, G., Cairns, G. M., & Goodwin, P. (2008) · European Journal of Operational Research · doi:10.1016/j.ejor.2007.12.003 · Cited by 65
Durability Bias in Affective Forecasting
Gilbert, D. T., Pinel, E. C., Wilson, T. D., Blumberg, S. J., & Wheatley, T. P. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.018 · Cited by 66
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
Toward Intelligent Decision Support Systems: An Artificially Intelligent Statistician
Remus, W., & Kottemann, J. E. (1986) · MIS Quarterly · doi:10.2307/249197 · Cited by 66
Known Unknowns: A Critical Determinant of Confidence and Calibration
Walters, D. J., Fernbach, P. M., Fox, C. R., & Sloman, S. A. (2017) · Management Science · doi:10.1287/mnsc.2016.2580 · Cited by 62
Murakami, M., Nakatani, J., & Oki, T. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165594 · Cited by 64
Adam, M. B., & Reyna, V. F. (2005) · Journal of Behavioral Decision Making · doi:10.1002/bdm.493 · Cited by 67
Disclosure to an Audience with Limited AttentionPreprint
Hirshleifer, D. A., Lim, S. S., & Teoh, S. H. (2004) · SSRN Electronic Journal · doi:10.2139/ssrn.604142 · Cited by 63
Effects of Track and Threat Information on Judgments of Hurricane Strike Probability
Wu, H., Lindell, M. K., Prater, C. S., & Samuelson, C. D. (2013) · Risk Analysis · doi:10.1111/risa.12128 · Cited by 62
Causal‐Based Property Generalization
Rehder, B. (2009) · Cognitive Science · doi:10.1111/j.1551-6709.2009.01015.x · Cited by 62
Metadata
- Authors
- Fischhoff, B., Slovic, P., & Lichtenstein, S.
- Venue
- Journal of Experimental Psychology: Human Perception and Performance
- Published
- 1978-05
- Volume
- 4
- Issue
- 2
- Pages
- 330-344
- ISSN
- 0096-1523 (ISSN-L)
- 1939-1277
- OpenAlex
- W2142405927
- Cited by
- 708
- References
- 12
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 9 · 2023: 26 · 2022: 13 · 2021: 21 · 2020: 15 · 2019: 17 · 2018: 11 · 2017: 11 · 2016: 17 · 2015: 17 · 2014: 18 · 2013: 10 · 2012: 24
- FWCI
- 16.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Experimental Psychology Human Perception & Performance (publishedVersion)
- Topics
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Risk and Safety Analysis
- Social Sciences › Sociology and Political Science › Risk Perception and Management
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- fault trees, failure probability estimation, problem representation, risk perception, problem solving, expert opinion, risk analysis
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