Earlier quoted context omitted.
You’re completely missing the point. The selection effects would be things like able-bodied / non-immunocompromised / already-recovered people being selected way higher, which would inflate the apparent infected population size estimate and underestimate the death rate among those infected. This is not some snooty tech point of view - this kind of flaw in statistical studies matters a lot. The more important the poli…
I don't think anyone disagrees that the sample has bias. On the other hand, since the majority of people have no choice but to grocery shop in person, I do not think the sample is as tilted as you imply. And even if it were--- it's notable that it's this easy to find a subgroup with cleared infections this far above what was anticipated to be found across NY/NYC. And-- it's remarkably consistent with statistical esti…
This is deeply flawed.
I live in NYC and have been making donations to have food delivered to elderly people since this started.
Just the other day, de Blasio announced that taxi and rideshare drivers would be paid by the city to deliver food - and city agencies would be serving as overflow dispatchers and tech support for it.
Many, many people do not have to go to the grocery store, or they have their healthy younger family member go in their place, etc.
To boot, as Gelman has written on his blog, these studies do not agree with a wide range of other studies, and in most cases the test specificity is on par with the incidence rate itself, making incidence rate estimates from _all_ of the studies very unreliable for correlated reasons, so that pooling the studies does nothing to overcome the huge uncertainty they suffer in incidence rates.