Going into an "unprecedented time" and treating models as absolute predictors of what will happen. If it's unprecedented, how can we expect to get reliable data out of the model? Somewhere along the line, an individual or group of individuals, will have to plug in some numbers as a baseline to begin the projection, but how do they come up with those numbers if it is all unprecedented? Personally, I wouldn't call this science or junk science because it actually is neither. At best it's an initial hypothesis that hasn't undergone any scientific testing or scrutiny. Unfortunately, the media and politicians seem to decide what is science and, as a whole, those are probably the two least qualified groups on the planet to do that. Unfortunately there was a chance by the government to actually do some science by performing some actual contact tracing early on and proceed with policy based on some actual hard data. But Wisconsin fell flat here, and that's not to rip specifically on Wisconsin, because it seems that nationwide the government fell completely flat in what was likely the most opportune time to get some real reliable data on transmission rates. https://www.jsonline.com/story/news/health/2020/04/23/coronavirus-patients-not-contacted-covid-19-victims-wait-interviewed-milwaukee-health-department/5150125002/ So we never got "guy A" has the virus. Who does "guy A" live with? How many of the people also living with "guy A" got sick? Where did "guy A" go the last two weeks? 8 places that he can remember....how many other positive cases can we trace back to those 8 places? Apparently that's too much work for the government. They like computer models because it's easy, cheaper, techie...and they think they can easily talk their way out of ridiculous "60% infected" projections because it is SCIENCE. Complete failure. As someone who works in the modeling business, we have a saying: "All models are wrong, but some are useful." Most of what you are saying sounds like Monday morning quarterbacking. Nobody had the job of doing the above because government wasn't paying anyone to do it. That was the failure point of government--not being prepared for a disaster that everyone knew would happen eventually. So putting that aside (which is a political topic that is beyond the scope of this discussion), they really had no choice but to go to whatever experts they could find and scramble to organize. Most of the models initially came from university research groups who were applying their RESEARCH models to coronavirus. This is like if a hurricane was approaching the United States and we didn't have the National Weather Service or National Hurricane Center so we used whatever models some university scientists happened to be working at the time. That's a guaranteed recipe for delivering inconsistent messages and having to amend recommendations on the fly. If they change their policy on masks and have good reasoning for it, then it's completely logical to go with it. I certainly changed my personal opinion on masks as this whole thing evolved.