Yeah, but in practice that hasn’t been relevant. It’s important to be cautious, but it’s also important to not be a know-it-all who just because they can think

Yeah, but in practice that hasn’t been relevant. It’s important to be cautious, but it’s also important to not be a know-it-all who just because they can think of a limitation of a data collection / statistical method they can suddenly cast doubt on the whole thing, even though people who know much more about it already probably did exactly the same thing. Finden a limitation of some data is extremely easy. Extremely easy. It will literally always be possible whenever people are working with data about people because this shit is hard. That doesn’t mean you get to name that limitation, cast doubt on something and piss off. That’s unproductive and irresponsible. These are the facts: incidence is a great leading indicator if some care is taken with it and it’s regularly put into the larger context (i.e. given more vaccinations a higher incidence is possible until things turn to shit). And you can shout data limitations at that central fact until you are blue in the face but it’s still gonna be there and true.