In this prior report, the infection fatality rate (IFR) for wild-type COVID (before the “COVID variants”) was estimated from what is likely the best data set for 2020 COVID death: the UK Technical Briefing No. 5. The top rate of estimated annual spread of COVID can be gleaned from a report by John Ioannides.
With what may be the best estimate of total spread of wild-type COVID (Ioannides), along with what may be the best estimate of infection fatality for wild-type COVID (150-million-round simulation of UK death data), you can derive the expected yearly deaths from wild-type COVID.
In the USA for the population of 2020, that number was below 80,000 COVID deaths per year:
In cell B5, the reported deaths from pneumonia and influenza were 65,000 back in 2000. Applying COVID to that reference US population of 2000, in all estimates but one (cell D13; marked orange), the COVID death would be less than the pneumonia+influenza deaths.
In cell F13 (green) is the central estimate of COVID IFR along with the highest estimate of yearly COVID spread (also called the “attack rate”) applied to the actual US population of 2020. Note how it is still less than the pneumonia+influenza deaths of 2000. The two, dated estimates of COVID spread (from Ioannides) are in column E.
At the highest plausible IFR and the highest plausible COVID spread, then 78,000 US deaths are expected. Even this highest-possible estimate is much lower than the almost 400,000 COVID deaths reported by CDC for 2020.
Evidence suggests that at least 3 of every 4 recorded COVID deaths were actually “falsely attributed” to COVID, and that the true number of wild-type COVID deaths is less than one-fourth of the official number of wild-type COVID deaths, and likely even less than one-fifth of the offical number (over 4 of each 5 being falsely attributed).
Official COVID death numbers are “at least” 75% wrong.