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Health policies are built on safety data and disease data. What happens when both are flawed, and policy is built on flawed data? An additional concern is how health departments are conflating vaccine effectiveness stats with "muddy" data that does not distinguish between many variables (hospitalized with covid, hospitalized because of covid, general admission vs ICU admission, days in ICU, with pneumonia vs covid pneumonia, age and co-morbidity stratification, definitions of injected vs un-injected, clear definitions of all terms in the stats. Also there are at least four groups to analyze, not just the false dichotomy of vaxxed vs unvaxxed. Stats shouls examinef never-injected and covid-naive, covid-recovered and un-injected, covid-recovered and injected, covid-naive and injected. This post does a great job of teasing out conflations and confounders in manipulated data, thought you might like it, Dr. Carver https://metatron.substack.com/p/alberta-just-inadvertently-confessed?utm_source=substack&utm_campaign=post_embed&utm_medium=web

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