I always wonder with the models produced whether or not they assume that 100% of those available to be infected, potentially will be.
We know from observation of this and previous pandemics that a lot of people, probably the majority, just don't succomb. For instance, that useful accidental experiment on the Diamond Princess showed that 1 in 5 caught Covid while they were all mixing with no precautions and sometimes one of a couple sharing a cabin caught it and one didn't. They tested most people on board so asymptomatic cases, about half, were picked up.
It's not very accurate but it seems to be thought that around 1/3 of the population caught Spanish Flu and a similar number (very inaccurate) the Plague. My experience of Norovirus suggests that between 1 and 2 of the 4 of us caught it each time it visited my family.
If they do assume that some people just won't catch Covid, what proportion of the population do they take that as? How do they decide? Antibody tests last year were suggesting that about 1 in 7 people had had Covid, with or without symtoms, but presumably that changes over time. Assumptions of the number could dramatically affect the models.