A new Monte Carlo technique for reducing variance is presented and analysed. It obtains gains in accuracy comparable to those realized by importance sampling (Hammersley & Handscomb, 1964), without requiring the use of non-uniform probability distributions. Some numerical examples illustrate the theory.