To recap: hospitalizations for COVID-19 fell outside the IHME's 95% confidence interval *twice* in one week, despite the IHME revising their model
The chances of this happening are like 0%
That's cute bullshit. The IHME models assumed "full social distancing" from the outset
And if your model isn't falsifiable, it isn't a model
So, how DID the model fail so badly?
A) That only countries past their peak in deaths should be considered. This is fair.
B) Lockdowns work, so since the US is locking down, only consider countries with lockdowns.
Most social distancing benefits of lockdown had ALREADY BEEN ADOPTED VOLUNTARILY
People are not totally dumb. When you scare them about a disease, they wash their hands more and avoid restaurants
This may explain why lockdowns and death counts are *positively* correlated
Lockdowns are not a cause of improvement, they are a political reaction to large death counts
Demography, climate, and lifestyle meant that Italy/Wuhan/Spain had bad outbreaks, so they were the first to lock down
So, *only countries with bad outbreaks* were included in the model!
They are assuming the US is exactly like Wuhan, Lombardy, and Madrid, but nothing like Japan, Korea, Germany
No wonder their model fails within 48 hours!
Because many municipalities experienced data backlogs in late March, early April has seen a global "catch up" in reporting: