Rationality for Engineers: Part IV: Misconceptions and Debiasing

Document Type : Original Research Article


Brunel University, London


Humans are thought of as predictably irrational, primarily due to apparent inconsistencies in their decision-making.  When presented with the same information on different occasions, the same people often draw different conclusions. There is a noise in the decision-making of individuals, whether in the same or a different environment. Humans are likened to a faulty scale; every time you weigh the same thing you get a different answer. This variation is more pronounced when we examine decisions by different decision-makers. Noise in decisions implies that humans’ internal gauges are imprecise and that their dial rests on a different position when confronted with the same choice at different times. Decision errors can relate to; correlation, causal reasoning, probabilistic reasoning, thinking statistically, hypothetical thought, dubious justification, not seeing everything, and even seeing something which is not there. This part of this series of papers attempts to clarify errors in engineers’ decision-making processes and describe how to avoid them.


  1. Aczel, B., Bago, B., Szollosi, A., Foldes, A. and B. Lukacs, (2015). “Is it time for studying real-life debiasing? Evaluation of the effectiveness of an analogical intervention technique.” Front. Psychol. 6, 1120, 23 pages.
  2. Arkes, H. R. 1991. “Costs and benefits of judgment errors: Implications for debiasing.” Psychol. Bull. 110 (3): 486.
  3. Arkes, H. R., D. Faust, T. J. Guilmette, and K. Hart. (1988). “Eliminating the hindsight bias.” J. Appl. Psychol. 73 (2): 305.
  4. Bhargava, S., and G. Loewenstein. 2015. “Behavioral economics and public policy 102: Beyond nudging.” Am. Econ. Rev. 105 (5): 396–401.
  5. Caputo, A. 2016. “Overcoming judgmental biases in negotiations: A scenario-based survey analysis on third party direct intervention.” J. Bus. Res. 69 (10): 4304–4312.
  6. Dolan, P., M. Hallsworth, D. Halpern, D. King, R. Metcalfe, and I. Vlaev. 2012. “Influencing behavior: The mind space way.” J. Econ. Psychol. 33 (1): 264–277.
  7. Ely, J.W.; Graber, M.L.; Croskerry, P. (2011). Checklists to Reduce Diagnostic Errors. Acad. Med., 86, 307
  8. Fischhoff, B. 1975. “Hindsight is Not Equal to Foresight: The Effect of Outcome Knowledge on Judgment Under Uncertainty.” Journal of Experimental Psychology: Human Perception and Performance 1 (3): 288–299.
  9. Fischhoff, B. (1982). Debiasing. In D. Kahneman, P. Slovic, & A. Tversky (Eds.), Judgment under uncertainty: Heuristics and biases (pp. 422–444). Cambridge, United Kingdom: Cambridge University Press.
  10. Fischhoff, B., P. Slovic, and S. Lichtenstein. 1977. “Knowing with certainty: The appropriateness of extreme confidence.” J. Exp. Psychol.: Hum. Percept. Perform. 3 (4): 552.
  11. Fischhoff, B., P. Slovic, and S. Lichtenstein. (2013). “Knowing with Certainty: The Appropriateness of Extreme Confidence.” Judgment and Decision Making 3 (4): 103–123.
  12. Garcia-Retamero, R., and M. K. Dhami. 2011. “Pictures speak louder than numbers: On communicating medical risks to immigrants with limited non-native language proficiency.” Health Expectations 14 (Mar): 46–57.
  13. Gilovich, T., D. Griffin, and D. Kahneman. 2002. Heuristics and biases: The psychology of intuitive judgment. Cambridge, UK: Cambridge University Press.
  14. Gumbel, E.J. (1958), Statistics of Extremes, Columbia University Press  DOI: https://doi.org/10.7312/gumb92958
  15. Hertwig, R., Benz, B., and Krauss, S., (2008). The conjunction fallacy and the many meanings of and, Cognition 108, 740–753
  16. Hirt, E. R., and K. D. Markman. 1995. “Multiple explanations: A consideration-alternative strategy for debiasing judgments.” J. Personality Social Psychol. 69 (6): 1069.
  17. Hales, B.M.; Pronovost, P.J. (2006). The checklist—A tool for error management and performance improvement. J. Crit. Care 2006, 21, 231–235.
  18. Hodgkinson, G. P., N. J. Bown, A. J. Maule, K. W. Glaister, and A. D. Pearman. 1999. “Breaking the frame: An analysis of strategic cognition and decision making under uncertainty.” Strategic Manage. J. 20 (10): 977–985.
  19. Kahneman, D. 2011. Thinking, fast and slow. New York: Macmillan.
  20. Kahneman, D., and G. Klein. 2009. “Conditions for intuitive expertise: A failure to disagree.” Am. Psychol. 64 (6): 515.
  21. Kahneman, D., and D. Lovallo. 1993. “Timid choices and bold forecasts: A cognitive perspective on risk-taking.” Manage. Sci. 39 (1): 17–31.
  22. Kahneman, D., and A. Tversky. 1973. “On the psychology of prediction.” Psychol. Rev. 80 (4): 237.
  23. Kahneman, D., Lovallo, D., and Olivier Sibony, O., (2011), Before you make that big decision, Harvard Business Review June 2011, pp 51-60.
  24. Koriat, A., S. Lichtenstein, and B. Fischhoff. 1980. “Reasons for confidence.” J. Exp. Psychol.: Hum. Learn. Memory 6 (2): 107. Lam, K. C., D. Wang, P. T. Lee, and Y. T. Tsang. 2007. “Modelling risk allocation decision in construction contracts.” Int. J. Project Manage. 25 (5)
  25. Kuhn T.S. (2004). The Structure of Scientific Revolutions 3rd edition. Chicago: The University of Chicago Press
  26. Larrick, R. P. (2004). “Debiasing.” In Blackwell handbook of judgment and decision making, 316–338. Hoboken, NJ: Wiley.
  27. Lanchester, J. (2013). Mr. Phillips, Faber & Faber
  28. Lilienfeld, S.O.; Ammirati, R.; Landfield, K. (2009). Giving Debiasing Away: Can Psychological Research on Correcting Cognitive Errors Promote Human Welfare? Perspect. Psychol. Sci. 2009, 4, 390–398.
  29. Meissner, P., and T. Wulf. 2013. “Cognitive benefits of scenario planning: Its impact on biases and decision quality.” Technol. Forecasting Social Change 80 (4): 801–814.
  30. Miller, C. C., L. M. Burke, and W. H. Glick. 1998. “Cognitive diversity among upper-echelon executives: Implications for strategic decision processes.” Strategic Manage. J. 19 (1): 39–58.
  31. Mlodinow, L., 2009 The Drunkard's Walk: How Randomness Rules Our Lives, Vintage; Illustrated edition.
  32. Morewedge, C. K., H. Yoon, I. Scopelliti, C. W. Symborski, J. H. Korris, and K. S. Kassam. 2015. “Debiasing decisions: Improved decision making with a single training intervention.” Policy Insights Behav. Brain Sci. 2 (1): 129–140.
  33. Murphy, A. H., & Winkler, R. L. (1977). Can weather forecasters formulate reliable probability forecasts of precipitation and temperature? National Weather Digest, 2(2), 2-9.
  34. Mussweiler, T., F. Strack, and T. Pfeiffer. 2000. “Overcoming the inevitable anchoring effect: Considering the opposite compensates for selective accessibility.” Personality Social Psychol. Bull. 26 (9): 1142–1150.https://doi.org/10.1177/01461672002611010.
  35. Polya, G, (1945). How to Solve It: A New Aspect of Mathematical Method. Newest edition 2014, Princeton Science Library.
  36. Popper, K., (2002). Conjectures and Refutations: The Growth of Scientific Knowledge, Routledge Classics, 2nd
  37. Spengler, P. M., D. C. Strohmer, D. N. Dixon, and V. A. Shivy. 1995. “A scientist-practitioner model of psychological assessment: Implications for training, practice, and research.” Couns. Psychol. 23 (3): 506–534.
  38. Savitsky, K., and Gilovich, T., ( 2003 ). The illusion of transparency and the alleviation of speech anxiety, Journal of Experimental Social Psychology Volume 39, Issue 6, November 2003, Pages 618-625
  39. Shapiro, F. (2008), Who wrote the Serenity Prayer? https://yalealumnimagazine.com/articles/214-who-wrote-the-serenity-prayer
  40. Stewart, T. R., Roebber, P. J., & Bosart, L. F. (1997). The importance of the task in analyzing expert judgment. Organizational Behavior and Human Decision Processes, 69, 205-219.
  41. Walters, D. J., P. M. Fernbach, C. R. Fox, and S. A. Sloman. 2016. “Known unknowns: A critical determinant of confidence and calibration” Manage. Sci. 63 (12): 4298–4307.
  42. Wikipedia "Who Wrote the Serenity Prayer?" The Chronicle of Higher Education cited from https://en.wikipedia.org/wiki/Serenity_Prayer.& https://en.wikipedia.org/wiki/Reinhold_Niebuhr
  43. Wikipedia, Fukushima Daiichi Nuclear Power Plant; https://en.wikipedia.org/wiki/Fukushima_Daiichi_Nuclear_Power_Plant
  44. Yasseri, S., (2015), Evidence-based practice in subsea engineering Underwater Technology, The International Journal of the Society for Underwater 32(4)
  45. Yasseri, S., (2017), Thinking Like an Engineer, available on ResearchGate https://www.researchgate.net/publication/319644185_Thinking_like_an_engineer
  46. Yasseri, S., (2021), Rationality for engineers, Part I, IJCOE Vol.4/No. 2/Summer 2020 (1-13)
  47. Yasseri, S., (2021), Rationality for engineers, Part II, IJCOE Vol.4/No. 2/Summer 2020 (1-13)
  48. Yasseri, S., (2021), Rationality for engineers, Part III, IJCOE Vol.4/No. 2/Summer 2020 (1-13)
  49. Yoshimi, G., (2010), Random Seas and Design of Maritime Structures World Scientific Publishing
  50. Ackoff, R. L., "From Data to Wisdom", Journal of Applies Systems Analysis, Volume 16, 1989 p 3-9.
  51. Ackoff, R. L. (1999) Ackoff’s Best. New York: John Wiley & Sons, pp 170 – 172.
  52. Nikhil Sharma (2008), The Origin of Data Information  Knowledge Wisdom (DIKW) Hierarchy https://www.researchgate.net/publication/292335202_The_Origin_of_Data_Information_Knowledge_Wisdom_DIKW_Hierarchy
  53. Sartre, J.P., (2009), Existentialism and Humanism. By Jean-Paul Sartre. Translation and Introduction by publications Philip Mairet. (London: Methuen. 1948. Pp. 70. Price 5s. net.). Published online by Cambridge University Press.
  54. Baggini, J. (2005), The Pig that Wants to be Eaten: And Ninety-Nine Other Thought Experiments, granta press Chow, T. (2018), The Surprise Examination or Unexpected Hanging Paradox, Pages 41-51 | https://www.tandfonline.com/doi/abs/10.1080/00029890.1998.12004847