In this work, we compare 47 different dynamic discharge profiles with realistic average discharge currents ranging from C/16 to C/2, cycled over 24 months (where 1 C corresponds to the nominal current that discharges the battery in one hour) on 92 commercial silicon oxide -graphite / nickel cobalt aluminum lithium-ion cells. We elucidate the effect of dynamic, non-constant-current discharge profiles while holding the average C-rate and voltage window constant. Surprisingly, we find that dynamic cycling enhances battery lifetime by up to 38 %. Moreover, we quantify the tip-over C-rate balancing timeinduced aging and cycling aging to be approximately 0.4 C, in the range of realistic C-rates, contrary to previous reports . Lastly, we apply explainable machine learning (ML) to deconvolute the impacts of dynamic discharge profiles on battery degradation. Specifically, we discover the importance of lowfrequency current pulses (8.2 mHz on average) in the discharge profile signal on lifetime metrics. This work illustrates the importance of testing batteries under realistic usage conditions and challenges the broadly adopted convention of constant current discharge in the laboratory. Evaluating batteries with realistic cycling profiles is necessary to properly understand aging mechanisms at the chemistry, materials, and cell levels.