Rather than popping off on academia, why not attack the real issue, which is lack of proper testing. No models, forecasts, fittings, or prophecies mean anythin

Rather than popping off on academia, why not attack the real issue, which is lack of proper testing. No models, forecasts, fittings, or prophecies mean anything with heavily biased data. I'm unaware of a solid method to counteract this problem. If my understanding is correct, we need population-wide testing to get a good basis for predictions of the future. Something which, unless I crawled under a rock again, we simply haven't come close to achieving (at least in my neck of the woods).