How do our memories differ from our experiences?

The peak-end rule

, explained.
Bias

What is the Peak-end Rule?

The peak-end rule is a psychological heuristic that changes the way we recall past events. We remember a memory or judge an experience based on how they felt at the peak moments, as well as how they felt at the end.1

Where this bias occurs

When recalling memories, individuals are usually shocked when they understand how biased their memory of an event is. The peak-end rule infiltrates many of our minds in both positive and negative ways.

Childbirth is a classic case of how a positive ending detracts from an overall negative experience or painful experience. Memories associated with childbirth are influenced by peak emotions experienced during, and at the end of the birth. Thus, the positive memory of a child being born can outweigh the pain endured throughout the process.2

In contrast, romantic partners separating is an example of a negative ending, detracting from the overall positive experience. Though the relationship may have been good for a long time, an individual usually vividly remembers breakups, especially if they were painful, and recall heartbreak when thinking back to their relationship.2

Sources

  1. Kane, L. (2018, December 30). The Peak–End Rule: How Impressions Become Memories. Retrieved July 20, 2020, from https://www.nngroup.com/articles/peak-end-rule/
  2. Doll, K. (2020, April 02). What is peak-end Theory? A Psychologist Explains How Our Memory Fools Us. Retrieved July 20, 2020, from https://positivepsychology.com/what-is-peak-end-theory/
  3. Sontag, A. (2019, October 21). The Peak End Rule. Retrieved July 20, 2020, from https://medium.theuxblog.com/the-peak-end-rule-ff7246115248
  4.  Okeke, K. (2019, March 11). Understanding The Peak–end Rule & How It Affects Customer Experience. Retrieved July 20, 2020, from https://customerthink.com/understanding-the-peak-end-rule-how-it-affects-customer-experience/
  5. Cherry, K. (2019, May 06). How Representativeness Heuristic Influences the Decisions You Make. Retrieved July 20, 2020, from https://www.verywellmind.com/representativeness-heuristic-2795805
  6. Kahneman, D., & Tversky, A. (1972). Subjective Probability: A Judgment of Representativeness. The Concept of Probability in Psychological Experiments, 25-48. doi:10.1007/978-94-010-2288-0_3
  7. Dutta, Satrajit; Kanungo, Rabindra N.; Freibergs, Vaira (1972). “Retention of affective material: Effects of intensity of affect on retrieval”. Journal of Personality and Social Psychology23 (1): 64–80. doi:10.1037/h0032790PMID 5043005.
  8.  Ochsner, Kevin N. (2000). “Are affective events richly recollected or simply familiar? The experience and process of recognizing feelings past”. Journal of Experimental Psychology: General129 (2): 242–261. doi:10.1037/0096-3445.129.2.242PMID 10868336.
  9.  Morewedge, Carey K.; Gilbert, Daniel T.; Wilson, Timothy D. (2005). “The Least Likely of Times How Remembering the Past Biases Forecasts of the Future”. Psychological Science16 (8): 626–630. doi:10.1111/j.1467-9280.2005.01585.xPMID 16102065.
  10.  Definition of Recency Bias. (n.d.). Retrieved from https://www.davemanuel.com/investor-dictionary/recency-bias/
  11. peak-end Rule: Why You Make Terrible Life Choices. (2020, March 23). Retrieved from https://www.nirandfar.com/peak-end-rule/
  12.  Zenko, Z., Ekkekakis, P., & Ariely, D. (2016). Can You Have Your Vigorous Exercise and Enjoy It Too? Ramping Intensity Down Increases Postexercise, Remembered, and Forecasted Pleasure. Journal of Sport and Exercise Psychology, 38(2), 149-159. doi:10.1123/jsep.2015-0286
  13.  Kahneman, Daniel; Fredrickson, Barbara L.; Schreiber, Charles A.; Redelmeier, Donald A. (1993). “When More Pain Is Preferred to Less: Adding a Better End”. Psychological Science. 4 (6): 401–405. doi:10.1111/j.1467-9280.1993.tb00589.x.
  14.  Hoogerheide, Vincent; Vink, Marleen; Finn, Bridgid; Raes, An K.; Paas, Fred (2018). “How to Bring the News … Peak-end Effects in Children’s Affective Responses to Peer Assessments of Their Social Behavior”. Cognition and Emotion. 32 (5): 1114–1121. doi:10.1080/02699931.2017.1362375. PMID 28766393
  15.  Miron-Shatz, T (2009). “Evaluating multiepisode events: Boundary conditions for the peak-end rule”. Emotion. 9 (2): 206–13. CiteSeerX 10.1.1.617.2999. doi:10.1037/a0015295. PMID 19348533.
  16. Redelmeier, Donald A; Kahneman, Daniel (1996). “Patients’ memories of painful medical treatments: real-time and retrospective evaluations of two minimally invasive procedures”. Pain. 66 (1): 3–8. doi:10.1016/0304-3959(96)02994-6. PMID 8857625.
  17. Redelmeier, Donald A; Katz, Joel; Kahneman, Daniel (2003). “Memories of colonoscopy: a randomized trial”. Pain. 104 (1–2): 187–194. doi:10.1016/S0304-3959(03)00003-4. hdl:10315/7959. PMID 12855328.

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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