Reference:
Beattie, K. A. (2022). Worldwide Bayesian causal impact analysis of vaccine administration on deaths and cases associated with COVID-19: A big data analysis of 145 countries. Steve Kirsch’s Substack. Retrieved from https://stevekirsch.substack.com/p/new-big-data-study-of-145-countries
Summary:
A recent study by Kyle A. Beattie, titled “Worldwide Bayesian Causal Impact Analysis of Vaccine Administration on Deaths and Cases Associated with COVID-19,” has sparked controversy by suggesting that COVID-19 vaccines may be linked to increased infection and mortality rates. Analyzing data from 145 countries, the research found that in the United States, vaccination correlates with a 38% rise in COVID cases and a 31% increase in COVID-related deaths per million. Beattie urges policymakers to reconsider their reliance on vaccines as a primary strategy for combating the pandemic, advocating for data-driven, localised decision-making. The study aligns with other independent analyses that raise concerns about vaccine efficacy, indicating a pattern where increased vaccination rates coincide with worsening outcomes. Beattie calls for a shift away from mass vaccination campaigns towards alternative strategies, emphasizing the importance of recognising these troubling findings rather than adhering to prevailing narratives.