Why do we think we’re more likely to win at the big casino versus the small one?

Category Size Bias

, explained.
Bias

What is Category Size Bias?

Category size bias describes our tendency to believe outcomes are more likely to occur if they are part of a large category rather than part of a small category, even if each outcome is equally likely. While the bias is based on experimental studies that have been successfully replicated, the interpretation of the evidence remains mixed.

Where it occurs

Imagine you’re watching cross-country skiing in the Winter Olympics, a sport with a prominent field of Norwegians. You know next to nothing about cross-country skiing, but your friend points to the TV, where a woman is lining up for the race and asks you to consider the likelihood she’s the woman to win Gold. The name Ragnhild Haga appears along the bottom of the screen next to a Norwegian flag.

Regardless of Haga’s actual likelihood of winning the race, your prediction shouldn’t be influenced by the number of Norwegians also lining up for the race, yet this is an error people sometimes make. Even if the field is evenly matched, we may assume that a single outcome coming from a larger category is more likely than a smaller one.

Sources

  1. Isaac, M. S., & Brough, A. R. (2014). Judging a part by the size of its whole: The category size bias in probability judgments. Journal of Consumer Research, 41(2), 310-325.
  2. Perfecto, H., Nelson, L. D., & Moore, D. A. (2018). The category size bias: A mere misunderstanding. Judgment & Decision Making, 13(2).

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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