I dislike this argument very much. Decision-making is important, but there is no feasible, equitable, or realistic way to randomly test people for #COVID19 during an outbreak
CIs are mostly a function of sample size, not sampling accuracy. I do agree we don't know a lot, but I would strongly disagree that we know very little. We have a very good idea of the R0, confident estimates of hospitalization rate, and pretty decent predictions of morbidity
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I pretty much disagree with everything in this tweet.
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I never said "perfect" estimates, but the range of plausible R0s, death rates, etc has shrunk significantly. It's incredibly unlikely, for example, that the death rate is anywhere near as low as Ioannidis hypothesizes
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