  We investigate the mechanism that leads to systematic deviations in cluster
Monte Carlo simulations when correlated pseudo-random numbers are used. We
present a simple model, which enables an analysis of the effects due to
correlations in several types of pseudo-random-number sequences. This model
provides qualitative understanding of the bias mechanism in a class of cluster
Monte Carlo algorithms.
