The desire to make valuable medicines available to patients globally at approximately the same time has led many pharmaceutical sponsors to consider conducting multiregional trials. In this article, we propose an approach to mtionalize partitioning the total sample size among the constituent regions in a confirmatory multiregional trial. Our approach is tofind the minimal sample size for the smallest region so that there is a high probability of observing a consistent trend in the estimated treatment effect across regions if the treatment effect is positive and uniform across regions. W e investigate this probability in two ways, nam*, unconditional and conditional on the overall treatment effed being statistically significant. In the case of three regions, the proportion of patients from the smallest region could be as low as l5% to have an 80% probability that the observed treatment effects are consistent across the three regions, conditional on concluding a statistically significant overall treatment efect.