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http://ssrn.com/abstract=2284964
 
 

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On the Difference between Binary Prediction and True Exposure with Implications for Forecasting Tournaments and Decision Making Research


Nassim Nicholas Taleb


New York University-Poly School of Engineering

Philip E. Tetlock


University of California, Berkeley - Organizational Behavior & Industrial Relations Group; University of Pennsylvania - Management Department

November 27, 2013


Abstract:     
There are serious differences between predictions, bets, and exposures that have a yes/no type of payoff, the "binaries", and those that have varying payoffs, which we call the "vanilla". Real world exposures tend to belong to the vanilla category, and are poorly captured by binaries. Vanilla exposures are sensitive to Black Swan effects, model errors, and prediction problems, while the binaries are largely immune to them. The binaries are mathematically tractable, while the vanilla are much less so.  Hedging vanilla exposures with binary bets can be disastrous -- and because of the human tendency to engage in attribute substitution when confronted by difficult questions, decision-makers and researchers often confuse the vanilla for the binary.

Number of Pages in PDF File: 6

Keywords: Predictions, Risk, Decision, Judgment and Decision Making, Fat Tails

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Date posted: June 26, 2013 ; Last revised: November 28, 2013

Suggested Citation

Taleb, Nassim Nicholas and Tetlock, Philip E., On the Difference between Binary Prediction and True Exposure with Implications for Forecasting Tournaments and Decision Making Research (November 27, 2013). Available at SSRN: http://ssrn.com/abstract=2284964 or http://dx.doi.org/10.2139/ssrn.2284964

Contact Information

Nassim Nicholas Taleb (Contact Author)
New York University-Poly School of Engineering ( email )
Brooklyn, NY 11201
United States

Philip E. Tetlock
University of California, Berkeley - Organizational Behavior & Industrial Relations Group ( email )
Berkeley, CA 94720
United States
University of Pennsylvania - Management Department ( email )
The Wharton School
Philadelphia, PA 19104-6370
United States

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