Why do we buy insurance?

Why do we buy insurance? 

Loss-aversion

, explained.
Bias

What is loss aversion?

Loss aversion is a cognitive bias where the emotional impact of a loss is felt more intensely than the joy of an equivalent gain.

A cartoon illustrating the concept of loss aversion. On the left side, labeled 'Winning $10,' a stick figure with a neutral expression says, 'Heh, cool I guess...' On the right side, labeled 'Losing $10,' another stick figure is crying profusely, with tears forming a puddle, and exclaims, 'Oh cruel world!' The image humorously depicts how people tend to react more strongly to losses than to equivalent gains.

Where this bias occurs

Imagine finding $10 on the street. You'd probably feel pretty happy—then shove it in your pocket and move on with your day. 

But what if you accidentally dropped $10 somewhere? If you're like most people, the overwhelming disappointment from this loss will probably be far greater than the joy you experienced after picking up the same $10 bill.

This disproportionate reaction can be explained by loss aversion, a cognitive bias where the pain we experience from losing far outweighs the perceived benefits of acquiring the same amount. This concept is most commonly applied to money, as in the example above, but also extends to a wide array of circumstances—such as losing time, social status, sentimental possessions, or even opportunities.

But how big, exactly, is the emotional difference between losing and gaining? According to the original research conducted by Daniel Kahneman and Amos Tversky, the pioneers of loss aversion, the torment of a loss can be psychologically twice as powerful as an equivalent gain.1 This discrepancy often motivates the choices we make, leading us to cling to what we already have rather than try to acquire new objects or opportunities. Simply put, it’s better not to lose $10 than to find $10.

The concept of loss aversion is a staple in Tversky and Kahneman’s Prospect Theory as well as relevant in a variety of fields, including cognitive psychology, decision theory, and behavioral economics. 

Sources

  1. Kahneman, D., & Tversky, A. (1977). Prospect Theory. An Analysis of Decision Making Under Risk. doi:10.21236/ada045771
  2. Tay, Shu Wen; Ryan, Paul; Ryan, C Anthony (2016-10-18). “Systems 1 and 2 thinking processes and cognitive reflection testing in medical students”. Canadian Medical Education Journal. 7 (2): e97–e103. ISSN 1923-1202. PMC 5344059. PMID 28344696.
  3. Stein, R. (2016, March 25). How Could Releasing More Mosquitoes Help Fight Zika? Retrieved from https://www.npr.org/sections/goatsandsoda/2016/03/25/471304974/how-could-releasing-more-mosquitoes-help-fight-zika
  4. Fernández, C. R. (2019, September 02). New Results Show GM Mosquitoes Keep Dengue and Zika at Bay in Brazil. Retrieved July 20, 2020, from https://www.labiotech.eu/medical/oxitec-dengue-zika-brazil/
  5. Hendricks, K. (2018, September 14). What causes loss aversion? Retrieved July 20, 2020, from https://kenthendricks.com/loss-aversion/
  6. Canessa, N., Crespi, C., Baud-Bovy, G., Dodich, A., Falini, A., Antonellis, G., & Cappa, S. F. (2017). Neural markers of loss aversion in resting-state brain activity. NeuroImage, 146, 257-265. doi:10.1016/j.neuroimage.2016.11.050
  7. Canessa, N., Crespi, C., Motterlini, M., Baud-Bovy, G., Chierchia, G., Pantaleo, G., . . . Cappa, S. F. (2013). The Functional and Structural Neural Basis of Individual Differences in Loss aversion. Journal of Neuroscience, 33(36), 14307-14317. doi:10.1523/jneurosci.0497-13.2013
  8. Inesi, M. (2010). “Power and Loss aversion.” Organizational Behavior and Human Decision Processes, 112, 58–69
  9. Tanaka, T., Camerer, C., and Nguyen, Q. (2010). “Risk and time preferences: Linking experimental and household survey data from Vietnam.” American Economic Review, 100 (1), 557–71.
  10. Wang, M., Rieger, M. O., & Hens, T. (2016). The Impact of Culture on Loss aversion. Journal of Behavioral Decision Making, 30(2), 270-281. doi:10.1002/bdm.1941
  11. Bontempo, R. N., Bottom, W. P., & Weber, E. U. (1997). “Cross-cultural differences in risk perception: A model-based approach.” Risk Analysis, 17(4), 479–488.
  12. Levin, I. P., Schneider, S. L., & Gaeth, G. J. (1998). All Frames Are Not Created Equal: A Typology and Critical Analysis of Framing Effects. Organizational Behavior and Human Decision Processes, 76(2), 149-188. doi:10.1006/obhd.1998.2804
  13.  Tversky, A., & Kahneman, D. (2000). Advances in Prospect Theory: Cumulative Representation of Uncertainty. Choices, Values, and Frames, 44-66. doi:10.1017/cbo9780511803475.004
  14. Putler, D. S. (1992). Incorporating Reference Price Effects into a Theory of Consumer Choice. Marketing Science, 11(3), 287-309. doi:10.1287/mksc.11.3.287
  15. Shuja, U. (2018, November 30). Council post: Three cases of artificial intelligence overcoming professional bias. Forbes. https://www.forbes.com/sites/forbestechcouncil/2018/11/30/three-cases-of-artificial-intelligence-overcoming-professional-bias/?sh=7cae02594015

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.

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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.

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