Predictive accuracy has justified simplicity in model selection.
Model selection criteria generally entail a uniformity of nature assumption.
Complexity threatens this assumption when predictions are extrapolated.
This challenges simplicity's epistemic value when modeling complexity.
In complex systems simplicity might improve explanation rather than prediction.