The only reason that this may not be accurate for ML is because machine learners generally make no attempt to quantify their uncertainty in their predictions wi

The only reason that this may not be accurate for ML is because machine learners generally make no attempt to quantify their uncertainty in their predictions with e.g. confidence intervals or prediction intervals. And there is a whole field of non-parametric statistics that doesn't make distribution assumptions.