I am sympathetic to the sentiment underlying this post, but I would stress that the value of "realism" depends on what you're trying to model, and why. If your purpose is to generate reasonable solutions to non-extreme problems/parlor games, then you can lose your purpose by artificially hardening your models beyond what such parlor games require. But if your purpose is to find generally-applicable decision rules that will be robust to extreme circumstances, then you can lose by failing to harden your models sufficiently.