Here in Germany, virologists have very much been at the center of media attention (and not only of the media: the first PCR test for covid-19 was co-developed by Prof. Drosten who leads the virology department of the Charité clinic in Berlin).
> By all means, have blind faith in the credentialed classes. Just remember these are the same people who came up with critical race theory, every replication failure in the field of psychology, the decades of 180 degree turns in nutrition, etc.
As well as with countless examples of genuine scientific and technological progress. It's not that credentialed scientists are always right, it's that the scientific community (not so much individuals) is much more likely to be right than random people. And that doesn't mean that publication bias isn't a thing, but I'm not gonna hedge my bets on what some un-credentialed people are going to say because they looked at a bunch of papers.
edit: and I'll also mention that it seems you imply that scientists are a uniform bloc or that they all propose the same measures but that's not even true. But they do, largely, agree on some key issues, most notably, that this is a dangerous virus. It is my understanding that not even Tegnell (from Sweden) denies this.
Oh, the Drosten PCR test is under fresh fire today by a team in Denmark for having design issues, and of course we may observe the claim that PCR testing has no false positives must have come from either microbiology or virology (not that there's much difference).
the scientific community (not so much individuals) is much more likely to be right than random people
It's clear now that this isn't the case at all. The successes of physics and chemistry tell us nothing about fields like social psychology because the norms and practices within those fields are totally different. There is no "scientific community". Wildly different thresholds for statistical significance are one such difference that hits you immediately when comparing fields, but the issues are far deeper and more complex than just that.
Epidemiology is a pseudo-science. I've read so many papers by now that are just ludicrous and would never be accepted (I hope!) in more rigorous fields, that you can't really convince me by making vague allusions to the awesome powers of SCIENCE! Epidemiologists aren't wrong as random individuals, they are wrong as a bloc, as a set of institutions, as an entire field. That's exactly why peer review doesn't help: the papers are reviewed by peers who have standards just as low as the people they're reviewing. And unfortunately in academia, peer review is the only tool they have to catch problems.
But they do, largely, agree on some key issues, most notably, that this is a dangerous virus. It is my understanding that not even Tegnell (from Sweden) denies this.
That's a vague and unscientific statement, so sure, of course epidemiologists make it. "Dangerous" is entirely relative. Dangerous compared to what? Statistically it's about as bad as a bad flu wave, which is the sort of event that's been seen many times in the living memory of even quite young people. Most people wouldn't say that's dangerous, even though in some senses almost anything can be dangerous to some people. After all, lots of people die from drowning. Is water dangerous? In some contexts, sure. In others, no.
I'm not asking you to blindly trust me on this. By no means. Go read some of the papers yourself if you like. The value of academic credentials in the field of epidemiology is zero. These people just constantly make basic errors in their papers and standards are so systematically low across the board nobody notices or cares.
I've posted here a list of just some of the problems I've noticed whilst reading these papers:
https://news.ycombinator.com/item?id=25202182
By all means, have blind faith in the credentialed classes. Just remember these are the same people who came up with critical race theory, every replication failure in the field of psychology, the decades of 180 degree turns in nutrition, etc. This article is a good (albeit slightly technical) introduction to some of the problems outsiders find when they sit down and actually read academic output:
https://fantasticanachronism.com/2020/09/11/whats-wrong-with...
It's useful because it has some meta-scientific analysis of quality problems in scientific papers.