Published online by Cambridge University Press: 01 January 2022
Most attempts to justify the use of idealized models to explain appeal to the accuracy of the model with respect to difference-making causes. In this article, I argue for an alternative way to justify using idealized models to explain that appeals to universality classes. In support of this view, I show that scientific modelers seeking to explain stable limiting behaviors often explicitly appeal to universality classes in order to justify their use of idealized models to explain.
Thanks to Julia Bursten, Robert Batterman, Chris Pincock, Jenn Jhun, and the audience of our symposium at PSA 2018 for helpful discussions and feedback. I am also grateful to two anonymous reviewers whose comments helped improve the final version.