A variety of metrics have been used to assess truncation point selection algorithms in the operations research literature, including percentage bias removed by truncation, the closeness of the truncation point to the first unbiased point, the coverage of the true mean by the calculated confidence intervals, and the variability of the truncation point. However, we believe that the most natural metric is the RMSE of the estimated means to the true mean over an ensemble of test trajectories. This most closely reflects our intentions when using these heuristics -to minimise error to the true value.