if the ifr is under 0.3%, which i think is closer to the consensus since the last time i looked when 0.6 was considered reasonable, it would suggest pushing two million cases in quebec, given the death count of 5687.

and if it's more like 0.1%, which was the lowball i used in my model, then you'd be looking at 5.687 million cases. in ontario, .6% is 460K cases, .3% is 930K and .1% is 2.782 million cases.

obviously, nobody knows the exact number of people that have been infected in ontario or quebec. but, when your experimental indicators gives you a range in the 600K-5700K range, and your study throws out 125,000 (no doubt with a large error rate), you've either overturned the existing science or you've done something terribly wrong.