A new research study has corroborated what many already knew to be true: there is no significant relationship between school mask mandates and covid case rates.
For the last two years, voracious debates have occurred between people from all walks of life. To mask or not to mask our children?
Data had been inconclusive up until recently, when researchers from the University of Toronto and the University of California, Davis decided to dive in and find out the truth for themselves.
Published on SSRN, the researchers stated, “Our study replicates a highly cited CDC study showing a negative association between school mask mandates and pediatric SARS-CoV-2 cases. We then extend the study using a larger sample of districts and a longer time interval, employing almost six times as much data as the original study. We examine the relationship between mask mandates and per-capita pediatric cases, using multiple regression to control for differences across school districts.”
This study demonstrates how the CDC was cherry-picking data to support their school mask dogma. The article states that CDC's MMWR journal rejected publishing this re-analysis. Most likely because it exposed the CDCs salami-slicing of data & use of science as political propaganda
— Marty Makary MD, MPH (@MartyMakary) May 29, 2022
They found that when they replicated the CDC study, it showed similar results. When they incorporated a larger sample and a longer period of time, however, it revealed that there is no significant relationship between mask mandates and case rates. They confirmed that these results persisted when using regression methods to control for differences across districts.
The study has yet to be peer reviewed but “failed to establish a relationship between school masking and pediatric cases using the same methods but a larger, more nationally diverse population over a longer interval.”
Furthermore, they state that their study demonstrates that “observational studies of interventions with small to moderate effect sizes are prone to bias caused by selection and omitted variables. Randomized studies can more reliably inform public health policy.”
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