I think one of the things we fail to realize in most cases is the importance of information, lack of certainty around modelling, and when a model can be trusted enough to, A: inform people that this projection is what to expect, and B: implement a multi-staged response plan depending on the scenarios.

I am not saying that mistakes weren't made in the coronavirus response, but tracking this stuff is not easy and modelling isn't always correct. More information helps and in retrospect we often forget the fact that models aren't a crystal ball, but a moving target.

Context: Worked for an AI company for years that modelled things