  Drawing inspiration from another philosopher of experiment (Mayo 1996), Parker (2008b) suggests a remedy to some of the shortcomings in current approaches to simulation model evaluation. In this work, Parker suggests that Mayo’s error-statistical approach for understanding the traditional experiment—which makes use of the notion of a “severe test”—could shed light on the epistemology of simulation. The central question of the epistemology of simulation from an error-statistical perspective becomes, ‘What warrants our taking a computer simulation to be a severe test of some hypothesis about the natural world? That is, what warrants our concluding that the simulation would be unlikely to give the results that it in fact gave, if the hypothesis of interest were false (2008b, 380)?  Parker believes that too much of what passes for simulation model evaluation lacks rigor and structure because it: