Predicting Lotto Numbers
AbstractWe investigate the "law of small numbers" using a unique panel data set on lotto gambling. Because we can track individual players over time, we can measure how they react to outcomes of recent lotto drawings. We can therefore test whether they behave as if they believe they can predict lotto numbers based on recent drawings. While most players pick the same set of numbers week after week without regards of numbers drawn or anything else, we find that those who do change, act on average in the way predicted by the law of small numbers as formalized in recent behavioral theory. In particular, on average they move away from numbers that have recently been drawn, as suggested by the "gambler’s fallacy," and move toward numbers that are on streak, i.e. have been drawn several weeks in a row, consistent with the "hot hand fallacy."
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Bibliographic InfoPaper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 8314.
Date of creation: Apr 2011
Date of revision:
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Other versions of this item:
- Jorgensen, C.B. & Suetens, S. & Tyran, J.R., 2011. "Predicting Lotto Numbers," Discussion Paper 2011-033, Tilburg University, Center for Economic Research.
- Claus Bjørn Jørgensen & Sigrid Suetens & Jean-Robert Tyran, 2011. "Predicting Lotto Numbers," Discussion Papers 11-10, University of Copenhagen. Department of Economics.
- D03 - Microeconomics - - General - - - Behavioral Microeconomics; Underlying Principles
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
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Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:
- As expected, lottery players are not rational
by Economic Logician in Economic Logic on 2011-05-05 14:15:00
- Nattavudh Powdthavee & Yohanes E. Riyanto, 2012. "Why Do People Pay for Useless Advice?," CEP Discussion Papers dp1153, Centre for Economic Performance, LSE.
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