Axxe55
Retiretgtshit stirrer
And building off of this comment, it's also impossible to put a number on how many people have had it but were never tested which could be quite large. Lot's of stories about people who believe they've had it, test positive for antibodies but never showed symptoms (asymptomatic). To further muddy the waters the number of people who actually died of COVID verses those that died of other causes who happened to have covid at the same time is not available as it isn't tracked that way. There is so much garbage in the reporting of covid positive cases (multiple reportings of the same individual etc.) that the numbers we do have are not really credible. So, using population was a simplifying assumption which I tried to anchor the analysis to SOMETHING. The deaths numbers are suspect for the reasons previously stated but I thought using the TOTAL deaths was a simplifying assumption as well. Realizing that the year isn't over yet the .04% is a bit underreporting the actual, but considering the problems in all the other data sets, I don't believe it's crazy.
Using the number of the population is somewhat of a stable number, but it leads to a false and misleading outcome of the numbers. In simple terms, it is not an accurate indicator in the least possible way.