I am particularly interested in the IHME project because it includes state-by-state forecasts. For Minnesota, it currently projects 1,039 deaths. This is in marked contrast with the model on which Minnesota’s governor claims to have relied when he issued the state’s shutdown order. That model, according to the governor, projected more than 70,000 deaths in the state unless people were ordered to stay home and businesses were closed. He hasn’t said, to my knowledge, how much good his stay-home order will do, according to the same model.
I have a distrust of computer models that goes back a long time. Coincidentally, today the latest issue of EconJournalWatch is out, including my piece on why Edward Leamer, a skeptic of econometric models, deserves the Nobel Prize. I’ll say more about that in a post later this week.
It amazes me that people trust computer models as much as they do. Have they forgotten how computer models performed in rating mortgage securities prior to the financial crisis of 2008?
I would prefer to base decisions on experiments, not on models. For example, on the utility of masks, I think that the best evidence we have is the quasi-experiment of Hong Kong and Taiwan vs. Europe and the U.S. But I would be happy to see an experiment in which similar communities adopt different approaches, with one of approach being the lockdown and another approach being allowing people to go to work and school wearing masks.
As you know, I would like to see experiments performed to see how the virus spreads (testing the “doorknob effect,” for example), And a careful study of a random sample of the population to try to get a handle of how many people have the virus currently and how many people have had the virus.