If lockdowns were a prescription drug for Covid-19 treatment, the FDA would never have approved it. The seminal Imperial College London paper and other mathematical models like it were used to justify their use, but clinicians would never prescribe a drug or propose a surgery based on such modelling. The now well-publicised failure of these models to accurately predict Covid-19 outcomes proves the rule.
In medical science, we rely on epidemiologists to take all the available data from all the countries and perform statistical analyses to correct for as many different variables as possible.
This has now been done for lockdowns. In August, the Lancet published an analysis of data from 50 countries. The researchers found that full lockdowns were ‘not associated’ with decreased mortality from Covid-19. These are hard outcome data; reality cannot be waved away with theories or projections.https://www.spectator.co.uk/article/a-medic-s-case-against-another-lockdown