  We demonstrate that the conclusions drawn by Bernhard et al. (2018) regarding
the ability of nonlinear averaging to accurately predict organismal performance
under fluctuating temperatures are flawed because of a series of experimental
and statistical issues that include the presence of a hidden treatment effect,
the use of a single low frequency temperature fluctuation that could easily be
tracked by the fast growing organism, and the decision to quantify performance
via population growth rate, a metric that can mask significant variation in
population size.
