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Steeltime already dropped the bigger hammer. I'll drop a different one.
Go back to the logic. We know the doom and gloom models INCLUDED assumptions for social distancing.
Use a hypothesis. Say a model says "With social distancing measures in place, we expect to see 140,000 deaths, 600,000 hospitalizations and x, y and z."
Then the virus hits. And we see the actual numbers are expecting 60,000 deaths, 300,000 hospitalizations and x, y and z."
The numbers dropped. And we social distanced.
One cannot say "See social distancing worked and lowered the numbers!"
BECAUSE THE MODELS ALREADY FACTORED THAT IN.
You cannot use a model that includes assumptions, have the model come in drastically lower than it predicted, then say because of the assumptions that were baked in, see it worked!
Good lord.
FFS! It’s called a variable, Tim. You argue as if social distancing is some fixed objective measure.
They didn’t know exactly how much society would abide by social distancing (variable 1) and exactly how effective it would be if they did (variable 2). Furthermore, they aren’t able to easily measure the variable. Those are assumptions they had to make, along with many others. For all we know, society hasn’t social distanced as much as assumed, but it has worked much better than assumed, OR vice-versa. But the evidence is that, overall, it is working. What else would explain the drop in new cases?