Err...umm...so...we should definitely believe what epidemiology is telling us right now. https://www.theatlantic.com/technology/archive/2020/04/coronavirus-models-arent-supposed-be-right/609271/ …
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Yes, models are models i.e., based on parameters that only convey a slice of reality. They're also validated by the same empirical methods used by other realms of science. Again, the issue is the headline, which suggests that the models/science shouldn't be trusted.
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I think the piece is clear, and even the subtitle says "that's not what they're for" but I'll convey your concern to the editors. If people who doubt models read it, that will be good. I think uncertainty around COVID-19 models is huge, more than usual given data uncertainties.
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