%0 Journal Article %A Simmons, Joseph P. %A Nelson, Lief D. %A Galak, Jeffrey %A Frederick, Shane %D 1993 %T Intuitive Biases in Choice vs. Estimation: Implications for the Wisdom of Crowds %U https://kilthub.cmu.edu/articles/journal_contribution/Intuitive_Biases_in_Choice_vs_Estimation_Implications_for_the_Wisdom_of_Crowds/6706250 %R 10.1184/R1/6706250.v1 %2 https://kilthub.cmu.edu/ndownloader/files/12235280 %K Heuristics and Biases %K Intuition %K Learning %K Attributions %K Preference Reversals %X Although researchers have documented instances of crowd wisdom, it is important to know whether some kinds of judgments may lead the crowd astray, whether crowds’ judgments improve with feedback over time, and whether crowds’ judgments can be improved by changing the way judgments are elicited. We investigated these hypotheses in a sports gambling context (predictions against point spreads) believed to elicit crowd wisdom. In a season-long experiment, fans wagered over $20,000 on NFL football predictions. Contrary to the wisdom-of-crowds hypothesis, faulty intuitions led the crowd to predict “favorites” more than “underdogs” against spreads that disadvantaged favorites, even when bettors knew that the spreads disadvantaged favorites. Moreover, the bias increased over time, a result consistent with attributions for success and failure that rewarded intuitive choosing. However, when the crowd predicted game outcomes by estimating point differentials rather than by predicting against point spreads, its predictions were unbiased and wiser. %I Carnegie Mellon University