The acceptance mass for an unnormalized rejection envelope follows by integrating the proposal-specific acceptance probability:
The inequality also gives , so this is a valid probability. It is the same at every independent trial.
If indicates acceptance of the th proposal, then are independent Bernoulli distribution variables with parameter . Hence the accepted count satisfies
Its variance is . Conditional on any acceptance pattern, the accepted values have independent target probability density function ; mixing over patterns retains this product law conditional on their count.