The Kolmogorov-Smirnoff (KS) test can be performed to verify that the sampled distribution of residence times reflects a Poisson process as expected. However, in this automated setting, iMetaD simulations may not unbind reducing the number of data points fit before performing the KS test. We find the KS P-values are only informative in systems with a high unbinding success rate which in turn takes precedence as a measure of confidence in the sampling.