
Originally Posted by
Warg
I completely agree with you. I think scientists often fail with responsibly communicating their findings to the media and, in this case, interacting with policymakers. Any work around modeling is particularly suspect and needs to be reinforced as just that- a model with a wide variability of inputs and outputs and one that needs to be updated regularly as new data emerge. And, after all of that, it's still a model. It seems like many focused on the numbers with this particular work rather than the authors conclusions that were primarily focused on epidemic suppression through interventions to flatten the curve.
I would think the architect/scientist analogy in this case would be more akin to drafting scaleable set of plans for a structure between x and y square footage (or volume), with inputs and outputs of varying electrical demand, HVAC, plumbing, sewage, etc. Maybe that's a poor analogy?
At any rate, this type of work and the resulting uncertainty is one of the reasons I'm an epidemiologist working in oncology rather than infectious disease.