Why don’t we pull the trolley lever?

The 

Omission Bias

, explained.
Bias

What is the Omission Bias?

The omission bias refers to our tendency to judge harmful actions as worse than harmful inactions, even if they result in similar consequences.

cartoon showing omission bias by depicting "the Trolley Problem"

Where it occurs

Imagine the following scenario.

You are on a walk when you see a runaway trolley car barreling down the railroad tracks. A group of five people are in the path of the trolley, and are unable to move out of the way in time to escape. You see there is a lever close to you that can switch the direction of the trolley onto another set of tracks. However, you notice one man standing on the other tracks that would also be unable to escape if you pulled the lever.

You find yourself in a moral dilemma with two options. You can A) do nothing and have the trolley kill five people or B) pull the lever and kill one person in order to save five. What is the right thing to do?

While neither option is optimal, most people would agree that option B is the most morally sound—fewer people killed, right? However, you might feel like the action of pulling the lever and killing one person would instill more guilt than the inaction resulting in the death of five people. Even though the consequences of choosing option A are worse, our desire to abstain from any harmful actions (and the subsequent blame) can override the more ethical choice. This famous thought experiment, dubbed “the Trolley Problem,” demonstrates the omission bias in action.1

It’s worth stressing that, in some ways, the omission bias is the very opposite of the action bias. While the former describes our tendency to judge action more harshly than inaction, the latter describes our tendency to prefer action over inaction. However, both biases align in their underlying premise that doing something feels more tangible to us than doing nothing at all—resulting in an exaggerated emotional response.

Related Biases

Sources

  1. Thomson, J. J. (1976). KILLING, LETTING DIE, AND THE TROLLEY PROBLEM. The Monist, 59(2), 204–217. JSTOR.
  2. Bennett, J. (1981). Morality and Consequences (S. McMurrin, Ed.; Vol. 2). University of Utah Press.
  3. Baron, J., & Ritov, I. (1993). Intuitions about penalties and compensation in the context of tort law. Journal of Risk and Uncertainty, 7(1), 17–33. https://doi.org/10.1007/BF01065312
  4. Baron, J., Bazerman, M. H., & Shonk, K. (2006). Enlarging the Societal Pie Through Wise Legislation: A Psychological Perspective. Perspectives on Psychological Science, 1(2), 123–132. https://doi.org/10.1111/j.1745-6916.2006.00009.x
  5. Spranca, M., Minsk, E., & Baron, J. (1991). Omission and commission in judgment and choice. Journal of Experimental Social Psychology, 27(1), 76–105. https://doi.org/10.1016/0022-1031(91)90011-T
  6. Singer, P. (2011). Practical Ethics. Cambridge University Press.
  7. Kahneman, D. (2013). Thinking, Fast and Slow (1st Edition). Farrar, Straus and Giroux.
  8. Federal Trade Commission. (2024, October 16). Federal Trade Commission Announces Final “Click-to-Cancel” Rule Making it Easier for Customers to End Recurring Subscriptions and Memberships. Federal Trade Commission. https://www.ftc.gov/news-events/news/press-releases/2024/10/federal-trade-commission-announces-final-click-cancel-rule-making-it-easier-consumers-end-recurring
  9. IBM. (2023, October 16). Shedding light on AI bias with real world examples. IBM. https://www.ibm.com/think/topics/shedding-light-on-ai-bias-with-real-world-examples#:~:text=What%20is%20bias%20in%20artificial,historical%20and%20current%20social%20inequality.
  10. Salleh, H. M. (2023). Errors of commission and omission in artificial intelligence.: contextual biases and voids of ChatGPT as a research assistant. Digital Economy and Sustainable Development, 1(14). https://doi.org/10.1007/s44265-023-00015-0
  11. Asch, D. A., Baron, J., Hershey, J. C., Kunreuther, H., Meszaros, J., Ritov, I., & Spranca, M. (1994). Omission Bias and Pertussis Vaccination. Medical Decision Making, 14(2), 118–123. https://doi.org/10.1177/0272989X9401400204
  12. Moskowitz, T., & Wertheim, L. J. (2012). Scorecasting: The Hidden Influences Behind How Sports Are Played and Games Are Won. Three Rivers Press.

About the Authors

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Dan Pilat

Dan is a Co-Founder and Managing Director at The Decision Lab. He is a bestselling author of Intention - a book he wrote with Wiley on the mindful application of behavioral science in organizations. Dan has a background in organizational decision making, with a BComm in Decision & Information Systems from McGill University. He has worked on enterprise-level behavioral architecture at TD Securities and BMO Capital Markets, where he advised management on the implementation of systems processing billions of dollars per week. Driven by an appetite for the latest in technology, Dan created a course on business intelligence and lectured at McGill University, and has applied behavioral science to topics such as augmented and virtual reality.

A smiling man stands in an office, wearing a dark blazer and black shirt, with plants and glass-walled rooms in the background.

Dr. Sekoul Krastev

Sekoul is a Co-Founder and Managing Director at The Decision Lab. He is a bestselling author of Intention - a book he wrote with Wiley on the mindful application of behavioral science in organizations. A decision scientist with a PhD in Decision Neuroscience from McGill University, Sekoul's work has been featured in peer-reviewed journals and has been presented at conferences around the world. Sekoul previously advised management on innovation and engagement strategy at The Boston Consulting Group as well as on online media strategy at Google. He has a deep interest in the applications of behavioral science to new technology and has published on these topics in places such as the Huffington Post and Strategy & Business.

Dr. Lauren Braithwaite

Dr. Lauren Braithwaite

Dr. Lauren Braithwaite is a Social and Behaviour Change Design and Partnerships consultant working in the international development sector. Lauren has worked with education programmes in Afghanistan, Australia, Mexico, and Rwanda, and from 2017–2019 she was Artistic Director of the Afghan Women’s Orchestra. Lauren earned her PhD in Education and MSc in Musicology from the University of Oxford, and her BA in Music from the University of Cambridge. When she’s not putting pen to paper, Lauren enjoys running marathons and spending time with her two dogs.

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