Study โChallenges Covid Vaccineโค effectiveness Assessments, Cites Statistical Flaws
Florence,โ Italy โ – A newly published peer-reviewed study alleges โฃthat common statistical practices in evaluating Covid-19 vaccine effectiveness โhave systematically overestimated โคbenefitsโ and underestimated potential adverse reactions.โ The research, led by Dr. Panagis Polykretis atโ the University of โคFlorence, identifies critical distortions in โฃhow data isโค analyzed, perhaps leadingโค to inaccurate public health conclusions.
The study,โค published by L’Indipendente, focuses on two key methodological issues:โค the “case counting window” and “immortal time bias.” These biases, the researchers argue, artificially inflate perceptionsโค of โฃvaccine โefficacy. The โฃ”caseโข counting โคwindow” refers to โคthe limited โtimeframe after vaccination during which outcomesโค are tracked, potentially missing later-occurring infections or adverseโค events. “Immortal time” bias arises โfromโ excluding the initial period after vaccination โขwhen individuals areโฃ most susceptible to infection, creating โฃa cohortโข that appears healthier โthan the general population. The study asserts that failing to correct for these โdistortions “increases artificially โขthe perception of โvaccine effectiveness.”
Dr. Polykretis,โ a biologist specializing in structural biology and neurodegenerative diseases, was theโ firstโค researcher to hypothesize an autoimmune โinflammatoryโฃ mechanism linked to genetic Covid-19 vaccines. โคHis team’s analysisโ ofโฃ real-world mortality data โฃby vaccination โขstatus reveals that neglectingโฃ these โstatistical corrections results inโ an overestimation of vaccine benefits and a โคcorrespondingโ underestimationโ of associated adverse reactions.โ
the researchers conclude that all existingโ studiesโข on โขvaccineโค effectiveness โ”should be reevaluated” to account for these biases, advocating for transparent and realistic assessments of vaccine safety and efficacy. They emphasize the need for up-to-date and accurate dataโ on individual vaccination โฃstatus to ensure reliable public health decision-making.