The initial transients in our synthetic data decay quickly enough that most bias is eliminated by the end of a "standard" length binding free energy simulation. This is a sweet spot for testing truncation heuristics because the choice of truncation point is especially critical. We expect the data to be reasonably representative of absolute binding free energy calculations, but time series from other molecular simulations may not occupy this sweet spot. In the case where a rapidly-decaying initial transient only biases the first few samples of a long time series, it is still important not to erroneously discard large fractions of the data (Section 4.1). Also, large but short-lived initial transients may have a fairly long-lived effect on cumulative averages if no truncation is performed. Therefore, the use of these heuristics is still justified. In the case where insufficient sampling has been performed and all data remain highly biased, these heuristics can still help to reduce bias. A key strength of these automated methods is that they can be applied without prior knowledge of the data.