In solving integral equations and estimating average with the Monte Carlo method, biasing functions may be used to reduce the variance of the estimates. A simple derivation has been used to prove the existence of a zero-variance collision estimator if a specific biasing function and survival probability are applied. This optimum biasing function is the same as that used for the well-known zero-variance last-event estimator.