(useless information) and $1$ (definite information). In our model, private information of a juror comes in the form of a continuous signal $s$, which ranges between $-1$ and $+1$, with signal $0$ neutral, negative signals indicating $B$ is more likely and positive signals indicating that $A$ is more likely. Our analog of Condorcet’s probability $p$ is a number, called the *ability* $a$, which ranges from $0$ to $1$. The number $a$ is linearly related to the conditional probability $p$ of $A$, given a positive signal $s$. In particular, the conditional probability of $A$, given that a juror of ability $a$ receives a signal $s$ above a threshold $\tau$, $\tau\in[-1,+1]$, is given by $$\label{eqn:p-tau}
p_{\tau}=\Pr\left( A\mid s\geq\tau\right)  =\frac{1}{2}+\frac{1+\tau}{4}\,a.$$ This generalizes equation . For a juror of ability $a=0$, this means that $p$, or more generally $p_{\tau}$, is $1/2$, the same as the *a priori* probability of $A$. Thus a juror of ability $0$ essentially has no ability, his signal (his private information) is useless. On the other hand, if a juror has maximum ability $a=1$ and receives a signal above a threshold $\tau$ that is very close to $+1$, his conditional probability of $A$ approaches certainty ($p_{t} \approx 1$). The fact 