methods are trashhttps://twitter.com/Picketer/status/1386257315213369349 …
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i guess I dont trust a linear model for this kind of application but that aside I especially dont believe that the model specification contribution to the error is so small that we could reliably tell the difference between a 11% and a 16% spike
going further do they have an explanation for the massive dropoff in 1919, if not why not. smells like bad modeling to me what states are missing, many are absent apparently, can we even make a meaningful comparison "controlling for age" however they did that
I'd assume something sort of opposite the dry tinder effect, unhealthy people killed by "Spanish" flu, but that should be more gradual instead of all next year so yeah, interesting to check...
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