It was 2.2 million, and that was in the absence of ANY mitigation or changes in human behavior, but I'm sure you don't really care about that facts based on your posting here.Remember when it was going to be 3 million?
How One Model Simulated 2.2 Million U.S. Deaths from COVID-19
The trouble with being too easily led by models is we can too easily be misled by models. Epidemic models may seem entirely different from economic models or climate models, but they all make terrible forecasts if filled with wrong assumptions and parameters.
www.cato.org
In the (unlikely) absence of any control measures or spontaneous changes in individual behavior, we would expect a peak in mortality (daily deaths) to occur after approximately 3 months. In such scenarios, given an estimated R0 of 2.4, we predict 81% of the G.B. and U.S. populations would be infected over the course of the epidemic… In total, in an unmitigated epidemic, we would predict approximately 510,000 deaths in G.B. and 2.2 million in the U.S., not accounting for the potential negative effects of health systems being overwhelmed on mortality.
The worst‐case Imperial College estimate of 2.2 million deaths if everyone does “nothing” did not simply mean no government lockdowns, as a March 31 White House graph with two curves implied. It meant nobody avoids crowded elevators, or wears face masks, washes their hands more often, or buys gloves or hand sanitizer. Everyone does literally nothing to avoid danger.The Ferguson team knew that was unrealistic, yet their phantasmal 2.2 million estimate depended on it. As they reticently acknowledged, “it is highly likely that there would be significant spontaneous change in population behavior even in the absence of government‐mandated interventions.” An earlier February 20 brief said, “Some social distancing is to be expected, even in the absence of formal control measures.”