Earlier quoted context omitted.
"Yes, which is clearly true, no?" No. As far as I can tell, approximately 100% of people in New York want to be tested, for many different reasons. You're assuming something and projecting it as truth. "These studies would ideally be true random samples so that we can know what the true infection rate is." But by your own logic, there can be no "random sample"...we can't tie people down and force them to be tested, s…
> No. As far as I can tell, approximately 100% of people in New York want to be tested, for many different reasons. You're assuming something and projecting it as truth. In NY, the issue was not about wanting to be tested, it was about "are you there when they're picking people to test"; quoting from the article, which is very thin on info, people were selected "at 40 locations that included grocery and big-box store…
It's the same critique. If you pick the people anywhere other than from their home, the argument is that they're not at home, therefore they're more likely to have it.
OK, so how do you get them in their homes? If you solicit them on the internet, then there's sample bias because you're telling them they'll be tested. If you knocking door-to-door, it's the same thing: you have to tell them what you're going to do, so you're "selecting for people who want to be tested". You can't win.
"Or at least pick people truly at random,"
You can't force people to take blood tests against their will. You have to tell them what you're doing, and why you're doing it, and they must consent to participate. The same objection always applies to any "random" selection of humans: it's biased towards the people in the place at the time of selection, who agreed to be selected.
"you can at least try to account for the ways in which your sample is likely to be different from a truly random sample."
Right, as all legitimate researchers in this area do.
As I said before: this is all just a highbrow way of rejecting studies for lowbrow reasons. You will never find a survey without some form of sample bias. You control for it and move on.
We are now seeing multiple independent serological surveys with different methods pointing in the same direction. It isn't a methodological error.