People see patterns even when none exist, such as in IPod's randomization feature. This presents a behavioral challenge for mixed strategies. (by Steven Levy)

A model offers game theoretic predictions of the likelihood of terrorist attacks.

Coins are more likely to end up facing the same way they started the coin toss, calling into question their use as a method of resolving disputes.

David Romer's analysis suggesting that football teams punt too often is considered by the New England Patriots. (by David Loenhardt)

Chronicles one man's attempt to bring sanity and careful calculations into football strategy. (by Jascha Hoffman)

Athletes appear subconsciously to apply Bayes' Rule and to play equilibrium mixed strategies

A more reasoned approach to football strategy determines the value of each field position to calculate optimal play calling. (by Josh Levin)

The new champions of poker include those skilled in probability and game theory (by Paul Keegan)

Bayesian probabilistic spam filters work better than static checking against keywords or address lists.

Computer system security is not simply a probabilistic exercise since hackers are strategic actors. Game theoretic thought is required.

Bayes' Rule indicates that even if we can predict a future terrorist with great accuracy, we will usually be wrong.

An application of Bayes' Rule indicating that even if we can predict a future terrorist with great accuracy, we will usually be wrong. (by John Allen Paulos)

Describes a Bayesian approach to filtering spam from users' mailboxes.

Paul Romer's findins that teams should punt less often given the odds criticized by professional coaches.

American football coaches should punt less often, given the odds.

Understanding the mixed strategy game of target selection and defense helps quantify risk.

Lack of uniformity across European Euro coins leads to different odds of heads and tails in different countries. (by Debora MacKenzie)

Bayesian probability analysis gains popularity in uses ranging from effectiveness of medical procedures to email screeners.

Microsoft applies Bayesian probability analysis to decide when a user needs help or advice.

Bayes Rule suggests that it is likely that an eye witness picks the wrong person.

Discusses the rise of Bayesian statistics and reasons for the existence of detractors.

Bayesian networks underly many of Microsoft's technologies, from diagnosing problems to knowing when a user needs advice.

Justifies promiscuity and subsidization of condoms by examining probability, imperfect signals, and externalities

Describes people's attitudes towards very unlikely risks, and the implications for finance, insurance, and government policy. (by John Kay)