Probability cannot be understood in isolation from a payoff function—probability density is a kernel that must be multiplied by a payoff function g(x) and integrated, and talking about probability alone has no meaning; for binary forecasts g(x) is an indicator function, but g(x) can be any continuous, convex, or concave function.