Yes, I'd like to hear your proposal.
How's this: I'll bet you that by Jan 1st 2021, the total number of deaths attributed to Covid19 in the USA by John's Hopkins on this website:
https://coronavirus.jhu.edu/map.html will be greater than 75,000.
That 75,000 is based on your high estimate of how many deaths might occur, plus a bit. But I'd be willing to consider other terms.
As for stakes, people around here often do avatar bets, but I'd be willing to consider other stakes as well.
Why would it be odd that I'd consider myself vindicated? 100k would be a very, very bad flu year but far, far from the disaster being predicted. It would mean probably 40-65k coronavirus deaths in the US.
But what I actually believe is we'll see a combined total of 65k-80k deaths between flu and coronavirus.
It's not odd based on the number, it's odd based on the fact that you are saying if your prediction was false that would vindicate you. It might mean that others were wrong too, but it would clearly show that your thinking was wrong. Maybe you'd like to make a more probabilistic prediction that could take in to account some of the uncertainties in the numbers, though.
Further, I'd predict that all the measures being put in place, the lock-downs, the social distancing practiced throughout society, are having a serious effect. Given that all that's happening, wouldn't you expect a particularly
mild flu year? If what you're saying is correct we should expect to see
very few deaths between both flu and Covid19 combined. Given the measures being put in place, this
isn't a normal year, so if the numbers turned out similar to other years that would be strong evidence that this year was particularly bad.
As an analogy, imagine a village of farmers who keep a supply of food in case of drought and hard times. One year a drought happens and they eat through that food supply. Someone comes along and says: "the same number of people died of starvation this year as every other year, clearly there was no problem". But the fact that the same number died
while the stocks of food were exhausted demonstrates the problem.