Ah, OK. So the claim is that the isolated effect (one building, even an office or home with significant time-spent) is small, but the cumulative effect is nonlinear in some way (either threshold effect or higher-order-than-linear). That IS a lot harder to measure, because it’s distributed long-term statistical impact, rather than individually measurable impact. I’d think that we have enough epidemiology knowledge to model the threshold or effect, but I’ve been disappointed on this front so many times that I’m certainly wrong.
It, unfortunately, shares this difficulty with other large-scale interventions. If it’s very expensive, personally annoying (rationally or not), and impossible to show an overwhelming benefit, it’s probably not going to happen. And IMO, it’s probably overstated in feasibility of benefit.
Ah, OK. So the claim is that the isolated effect (one building, even an office or home with significant time-spent) is small, but the cumulative effect is nonlinear in some way (either threshold effect or higher-order-than-linear). That IS a lot harder to measure, because it’s distributed long-term statistical impact, rather than individually measurable impact. I’d think that we have enough epidemiology knowledge to model the threshold or effect, but I’ve been disappointed on this front so many times that I’m certainly wrong.
It, unfortunately, shares this difficulty with other large-scale interventions. If it’s very expensive, personally annoying (rationally or not), and impossible to show an overwhelming benefit, it’s probably not going to happen. And IMO, it’s probably overstated in feasibility of benefit.