Table shows the skewness and excess kurtosis coefficients for each of the distributions included in Figures and. It is clear that the majority of systems have positive excess kurtosis coefficients going up to as high as 3.78. This implies that the tails of the corresponding distributions are fat and there is a significant probability of obtaining many different ∆G values. It should be noted that we also need large ensembles to detect non-normality and hence performing a handful of "repeats" would never capture the possible multimodal features of a given system.