Why unconvincing? Some assertions speak: "Nearly One in Five American Adults Who Have Had COVID-19 Still Have “Long COVID,” Page last reviewed: June 22, 2022.
Surveying our family and rather large group of friends, we don't replicate that percentage. In our rather large circle, we know none. For this your circle of family and friends might make up the difference for the calculation of such an average? Have you forty percent of your circle to offset out zero percent?
Additionally, given that "Warp Speed" forward, and with about 80 percent having participated in some of the SARS CoV2 mRNA injections, whether first doses or succeeding boosters, neither of the other CDC articles even mention "vaccine" as a part of the study which could have been part of the whole.
I mention this as we know only two family members who tested positive, both were inoculated beforehand, and one had rebounds to include the so-called Paxlovid rebound. More prominent stories include public figures experiencing reinfection after one or more injections, and several "fully boosted." To not mention this in a study about Covid and long Covid seems methodologically unsound.
As you say, "it is hard to determine exact numbers." I agree with the general tone, "So, hard to say."
The mortality rate calculation for this entire 3 1/2 years is easy to do, according to which ever sources with which one agrees, and it still reckons out to something less than 1/10th of one percent over these last years of media frenzy.
I think I shall look around the topic of "long Covid" a bit more. I imagine you shall as well. Thanks again for the links.
If you won’t believe the scientific community, then I don’t know what to say. The scientific community really is the only source, because we do the research, gather the data, and do the statistical analyses. No one else does that.
Any CDC articles are based on communications from scientists. State health departments provide information to the CDC.
Looking at my family and friends does not give me population level statistical data. That is the kind of data you need to study in order to understand the incidence of a disorder, not anecdotal stories. Anecdotally, 33% of the people I know who caught Covid developed serious long-term health impairments (intestinal damage requiring surgery) from it, and 66% got long Covid. The other 33% of people I know who caught Covid felt bad for a few days but recovered uneventfully. That 33% was also vaccinated with one booster. This accounts for why his illness was so mild when the other two people I know who had Covid had such serious outcomes. But, as I already said, my personal anecdotal experience is not a substitute for population level data.
So far, the number of people diagnosed with Covid in the US is 108,288,061. Of these cases, 1,174,570 have died. This puts the death rate at 1.085%. Any death rate calculation that is not based on the number of cases is not a real death rate calculation. A lot of calculations (by charlatans) based a pseudo death rate on the total population rather than on the actual cases. This is invalid. Only people who catch Covid can die from it, so death rates can only be calculated based on the number of cases.
By the charlatan method of calculating death rate, you have nothing anly 1-2 people in the US die from rabies every year, giving the charlatan population based death rate of 0.000000606% from rabies. However, the real calculation based on number of cases and number of deaths shows that rabies is 100% fatal.