A U of W doctoral candidate questions the legitimacy of early covid-19 mortality projections, and by extension, the justification of all COVID-19 policy
Can Politicians Prove Their COVID-19 Lockdown Was Justified?
APJ Media report presents the case of University of Waterloo doctoral candidate in epidemiology, Ronald B. Brown, who concluded that there was a “math error” injected into the early COVID-19 death models that caused them to overestimate projected mortality totals.
This fact could impact the political justification of all COVID-19 policy because the data’s legitimacy is inversely proportional to the size of the “math error”. Put another way, information’s decision-making value falls as its level of error grows, and vice versa. Bad data equals bad decisions.