The Knox and Mantel procedures of time-space disease clustering are shown to be nonrobust in certain situations. The effect of selecting the necessary constants by a trial-and-error approach drastically alters the nominal significance level. When the population is shifting over time or when the detection rate of the disease is not constant, this artificially induced space-time clustering can increase the probability of rejection to two or more times the nominal significance level.