Empirical evidence demonstrates that shutting down economies and schools brought little benefit and much harm.
Did the Covid lockdowns save lives? Statistics can help answer the question.
In April, free-market economists Phil Kerpen, Stephen Moore, and Casey B. Mulligan published a working paper for the National Bureau of Economic Research entitled “A Final Report Card on the States’ Response to COVID-19.” Their report considered three variables for all 50 states and Washington, D.C.: health outcomes (measured by adjusted mortality), economic performance throughout the pandemic (measured by unemployment and GDP), and the pandemic effect on education (measured by the percentage of cumulative in-person instruction). The authors investigated the relationships among the three variables using simple linear regression, a tool to summarize and study relationships between two continuous variables. This method yields a correlation coefficient that rates both the strength and the direction of the relationship between the two variables.
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