I was just trying to explain how these models works and how easy is to influence the outcome. That's why not the general population makes decisions on them.
All will have flaws, some will be better than others, all will depend on how much info we have.
Funny thing is I personally rarely looked at them (the absolute numbers in particular) because their margin of error was quite large, and they had huge confidence intervals. Not to mention I don't have policy making responsibilities. What I cared about was timing and curves, when should we expect the increase and how fast can it grow.
It seems that the general population like you gets stuck with this forgetting those who interpret them have different system of values.
There are trade offs, and you have to decide if you are going to get ready for the worst case scenario or somewhere in between (for US is kind of rhetorical, we never got anywhere close to being ready for the worst case scenario).
Other models looks for other things, for example the Dutch model seems to be geared towards not overwhelming the ICUs, not to reduce the total number of cases.
Were all the models initially released that accurate? of course not, they missed important info not available at that time. But you can fly in the dark or try to come up with something to give you an idea, knowing there is a large margin for error, and adjust on the fly as new info comes in.
Here is an article about how these models are "rushed in" and adjusted on the fly:
https://www.nature.com/articles/d41586-020-01003-6