Absolutely, but the same can be said about Ontario. Closing schools, restaurants and gyms is not a purely scientific decision, either. Nor is having a curfew in Quebec.
Countries and jurisdictions all have access to the same underlying scientific data. And they all have smart scientists and doctors. But they can come to vastly different policy decisions.
So saying that we shouldn't lock down or close schools again is not anti-science, and there really isn't any concrete data to suggest that Ontario's approach is better than New York's, or Florida's, or the UK's.
This sums up where we are pretty well.
Bottom line is there is no objective right decision for any of this. There is a ton of scientific uncertainty. Like for example, all else equal how much spread does keeping the schools open add, and "butterfly flapping it's wings" how much does that impact health outcomes and Healthcare capacity?
That's a really fundamental question that we can't answer.
Ideally you'd want to add up all the costs of each option (health impacts vs lockdown costs), stack the options against each other and make a perfectly informed and rational decision.
We don't have anywhere near enough information to do that. The people making the decisions have more info than we do, but still nowhere near enough.
And even if we did, we'd be sitting around arguing about how much one grandma's life is worth relative to the joy and health benefits people get from going to the gym. Wholly subjective valuations, even if science could calculate the dead-grandmas-per-gym trip tradeoff.
So again, THERE IS NO RIGHT ANSWER TO QUESTIONS LIKE "SHOULD THE SCHOOLS BE CLOSED".
It's just a subjective assessmemt masking a shitload of poorly informed scientific assumptions, personal risk tolerances, valuations about human life and health, and other junk.
That's why I find it supremely frustrating when people suggest that the government is 100% for sure doing things right or 100% for sure doing things wrong.
Literally no one knows the answer to to that. We'll probably never know definitively.