Christ on a pogostick...did you stop attending math classes at the same time that you stopped your scientific education? Ok, quick math class here we go.
*Disclaimer, all CDC influenza estimates are, are just that, estimates, but for the sake of argument, we are going to assume they are 100 fact.*
2018-2019 Seasonal Influenza Numbers, per the CDC: 35,500,000 cases 34,200 deaths.
(Total Deaths)/(Total Infected)*100=CFR (case fatality rate)
2018-2019 Influenza (34,000/35,500,000) * 100= .1
So the CFR for seasonal influenza in the US, is
.1%
Still with me?
Now let's use the power of algebra to work backwards with the data we have for Covid 19.
Current Deaths:
174,631
CFR: Let's go with the best case estimate that I've seen which is .7%
So how do we find how many total infections that we need to keep a .7% CFR given our Current Deaths?
X=Unknown Total Infections
(174,631/X) *100 = .7
174,63100/X=.7
17463100=.7X
24,947,286=X
So to maintain a .7% mortality rate given the current number of deaths, we need roughly 25,000,000 infections.
Now here's the question, have we already had 20,000,000 untested, unnoticed Covid 19 infections? I don't know, but I'd say it's unlikely given what we know about covid 19 and the general unhealthiness of the American public.
Back to
@Halph66 's assertion that H1N1 was worse, we only saw ~12,000 deaths out of ~60,000,000 estimated cases. H1N1 is not worse than Covid 19 in terms of mortality, not even under the best case scenarios for Covid 19. We don't have enough people in the United States at this point, even if 100% of the population were to get infected, to get a CFR of ~.02% which is what H1N1 ended with.