The Flippant Juror

July 20, 2015 in Mathematics

A three-man jury has two members each of whom independently has probability \(p\) of making the correct decision and a third member who flips a coin for each decision (majority rules) A one-man jury has probability \(p\) of making the correct decision. Which jury has the better probability of making the correct decision? 1

Solution

The winning outcomes for the first scenario (three juris) are:

outcome probability
\(A_0B_1C_1\) \(\frac{1}{2}(1-p)~p\)
\(A_1B_0C_0\) \(\frac{1}{2}(1-p)~p\)
\(A_1B_1C_0\) \(\frac{1}{2}p^2\)
\(A_1B_1C_1\) \(\frac{1}{2}p^2\)

Hence, the probability of a correct decision is given by:

\[\begin{align} 2\frac{1}{2}(1-p)~p + 2\frac{1}{2}p^2 & = (1-p)~p + p^2 \\ & = p - p^2 + p^2 \\ & = p \end{align}\]

The two scenarios are strictly equivalent.

Intuition

Half the times the flippant member agrees with the first member. In these cases the conditional probability of a correct decision is \(p\). The other half it agrees with the second member, where the conditional probability is also \(p\), thus \(\frac{1}{2}p + \frac{1}{2}p = p\).

  1. This is problem 3 of Frederick Mosteller’s “Fifty Challenging Problems in Probability”. ↩︎

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I am a Principal Research Engineer at Arm, ex-Professor of Software Engineering at the Faculty of Engineering, University of Porto and Research Associate at INESC TEC. Here you can find my PhD Thesis, my Résumé (not updated since 2020), and my Publications.

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This is a blog about software, some mathematics, and the occasional philosophy. Not necessarily in that order.

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