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Cognitive Biases

Championship Selection Problem

A cognitive bias where people evaluate the fairness of playoff systems based on procedural details (like neutral vs. home venues) rather than statistical evidence of accuracy.

THE IDEA

Championship Selection Problem

Two sports fans are arguing over which sport – baseball or football – has the best (most accurate) playoff system. Charlie says that the Super Bowl is the best way of determining the world champion because, according to him, “The seven games of the World Series are all played in the home cities of the two teams, whereas the Super Bowl is usually played in a neutral city. Since you want all factors not related to the game to be equal for a championship, then the Super Bowl is the better way to determine the world championship.” Which procedure do you think is a better way to determine the world champion – World Series or Super Bowl? Why?

When to use it

  • Evaluating the fairness of tournament structures in sports or esports.

  • Choosing between statistical models where one has a simple appealing feature but another has better predictive performance.

  • Debating policy effectiveness when procedural details are highlighted over evidence.

FROM THEORY TO EVERYDAY LIFE

In practice

01

Baseball vs. Football Playoffs

Charlie argues that the Super Bowl is superior because it is played at a neutral site, ignoring that the World Series uses a best-of-seven format which reduces the influence of chance on the outcome.

✳

A MOMENT TO REFLECT

Put it to work.

  1. When comparing two systems, what objective measures could you use instead of focusing on a single surface-level feature?

  2. Think of a decision you made where you prioritized fairness of procedure over accuracy of outcome. What was the result?

  3. How would you design an experiment to test whether neutral-site games actually produce more accurate champions?

CONTINUE THE CONVERSATION

Source texts

  • Heuristics and Biases The Psychology of Intuitive Judgment (Thomas Gilovich, Dale Griffin, Daniel Kahneman)
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