> A viral article implores us to “flatten the curve of armchair epidemiology”—that is, to listen only to authoritive sources like the CDC, not random people spouting on social media. > This was notable to me for being the diametric opposite of the actual lesson of the past two months. So, because some (unspecified, unnamed) experts weren't able to predict the future with perfect accuracy, we should give equal credenc…
His default was to listen to those in authority and responsible. Instead he wishes that he listened to those who did independent thinking and their own projections with verifiable reasoning from the data.
This doesn't mean don't listen to epidemiologists. There were plenty of epidemiologists who were plenty concerned in early February. It means do not pay particular heed to epidemiologists who were selected to be listened to via a politically motivated process.
And my own editorial. Go read the book Superforecasting. The people that Scott is recommending listening to are exactly the kind of people who do better at making short term forecasts than the majority of recognized experts. And the reason why their forecasts are better is exactly the same as why they got it right this time.
Quantitative thinking is something we as a society are still learning to trust. We've come to trust it in baseball. (Go read Moneyball.) We've come to respect it in politics. (Nate Silver established a following for a reason.) But we have yet to internalize as second nature the idea that we should sanity check everything with people who clearly think in a quantitative way. And that we should attempt that kind of thought ourselves.
In the long run I believe we will. And perhaps reflecting on who got COVID right and who got it wrong will help us get there sooner.