The weights can incorporate a factor (0 < α ≤ 1 in that link) which adjusts the contribution of the prediction's accuracy. When α = 1, we get the zero-sum, pure

The weights can incorporate a factor (0 < α ≤ 1 in that link) which adjusts the contribution of the prediction's accuracy. When α = 1, we get the zero-sum, purely competitive situation; we can make accurate prediction less important by choosing α < 1. Although truth-telling is a Nash equilibrium of this setup, it's not the only one. However, as α → 0 the truth-telling equilibrium becomes dominant (i.e. achieves a higher expected payoff).