Citat:
This is also something I brought up at the time. They skewed those results by using samples from vårdcentralen. This is one way they actively skewed the results higher. The second, which I must admit was not intentional on their behalf and that I cannot hold against them—the Abbott tests they used to measure the antibody rate they ended up recalling over an unacceptably high false-positive rate.
The fact that the parameters for the 5% alone fall within the CI for false results make the first round of tests void. The lack of a random sample population study only increase the lack of validity behind the study and subsequent studies.
The fact that the parameters for the 5% alone fall within the CI for false results make the first round of tests void. The lack of a random sample population study only increase the lack of validity behind the study and subsequent studies.
There was confirmation bias. They jumped on what supported their thesis about the disease and rejected everything that went against it.
I wonder if there will ever be a proper inquiry to how FoHM dealt with this. I'm morbidly fascinated by the overall assesments and behaviour of Tegnell and the group think and re-inforcement of those assesments.
I'm also highly critical of Tom Britton and his models. His model assumptions were way off with a very high R and very low IFR. I don't remember exactly, but it was at 2,5 at a time when new infections had clearly stagnated and he only had a margin of error of 25% or something and thought he was definitely good. So good that he was willing to bet his house on it.
The R was indeed high for a while, then it went down, but he assumed that this very high R continued on and on without looking at the signals in hospitalizations data, deaths data, and new cases data. Of course then his model predicts herd immunity. It was trivial at the time to point out the flaws (and we did), but the media went with it.
FoHM published models that assumed an IFR of 0.01% or something when there were italian towns where more than 1% of the entire population had died..