> For example this report from March 2020 was highly influential and predicted 2.2 million deaths in the US in an 'unmitigated epidemic' scenario:
You just said yourself that the 2.2 million was the "do nothing" scenario, and as we've seen in India it could've easily been that. You also just said said we did many things — "unusual and unjustified" things, in your opinion — therefore mitigating that worst-case projection. I personally lost the point you were trying in these self-contradictions, but I am curious where you were going.
Re: India. Look at their case curves per million. They haven't really had any epidemic until now. Their infections per mille stats are far below places like the UK. What we're seeing in India is COVID round 1 combined with a third world health system and third world air quality. This is a country that routinely has problems with respiratory illness and oxygen shortages in 'normal' times. It will get much worse before it gets better in India and that doesn't tell us anything about the accuracy of the predictions.
For that we need to look at all the data. People have done that. The predictions were always completely wrong in every case. Here's an article that examines the track record of that group at ICL:
Re: "do nothing". Both ICL and a separate Swedish team applied the Ferguson model to Sweden and got a prediction of around 90,000 COVID deaths. True total: 98,000 deaths of all causes in total, and that was after 2019 was the year with the lowest mortality on record. Age adjusted, Swedish excess mortality matches that in 2012.
That's one famous example but again, all-data analysis shows the same thing. Lockdowns don't seem to affect the course of the disease:
Epidemiology has developed a culture of bad science, presenting unvalidated models as indisputable fact and worst of all, pathological lying. Ferguson was recently caught doing it again:
As pandemic revisionism goes, it was really quite extraordinary. Asked on BBC Radio Four’s Today Programme about the latest data showing Britain is enjoying an eight-month low in coronavirus deaths and infections, Professor Neil Ferguson said on Tuesday: “The data is very encouraging, and very much in line with what we expected.” As it was on the radio it was impossible to tell whether this was said with a straight face, but we must assume it was ...
... Prof Ferguson’s team [had] warned: “A return to higher transmissibility levels after non-pharmaceutical interventions are lifted will also lead to a third wave of hospitalisations comparable in magnitude to the current wave” and called for mask wearing and hand hygiene to continue after full lifting. Under the February modelling which informed the roadmap, hospitalisations should be starting to tick up around now, but there is no evidence of that happening, with cases down 11 per cent in the past week ...
... The team warned there was no way out of a devastating third wave, with modellers arguing that even the slowest release in August would result in “substantial additional deaths” of around 56,900 by June 2022 ... One of the main errors in much of the modelling seems to have arisen from a misjudgement of how much schools would impact the reproduction number
The predictions of epidemiologists, not just Ferguson, were wrong by orders of magnitude and wrong in a way that has caused global supply chain disruptions. We should care more about the effects they had on restricting access to healthcare, because those actually killed people rather than just disrupting electronics supplies. But this story is about the latter. That's why it is wrong to vote down someone speaking the truth about the root cause: exceptionally bad science and our societies apparent inability to detect it or reckon with it.
You just said yourself that the 2.2 million was the "do nothing" scenario, and as we've seen in India it could've easily been that. You also just said said we did many things — "unusual and unjustified" things, in your opinion — therefore mitigating that worst-case projection. I personally lost the point you were trying in these self-contradictions, but I am curious where you were going.