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Discrepancies and inconsistencies in UK Government datasets compromise accuracy of mortality rate comparisons between vaccinated and unvaccinated.

Emily

Editor, Senior Moderator
https://www.researchgate.net/public...mparisons_between_vaccinated_and_unvaccinated
Neil, Martin & Fenton, Norman & Mclachlan, Scott. (2021). Discrepancies and inconsistencies in UK Government datasets compromise accuracy of mortality rate comparisons between vaccinated and unvaccinated. 10.13140/RG.2.2.32817.10086.

Abstract and Figures


UPDATE: A significantly revised version of this report is here:http://www.eecs.qmul.ac.uk/~norman/papers/inconsistencies_vaccine.pdf To determine the overall risk-benefit of Covid-19 vaccines it is crucial to be able to compare the all-cause mortality rates between the vaccinated and unvaccinated in each different age category. However, current publicly available UK Government statistics do not include raw data on mortality by age category and vaccination status. Hence, we are unable to make the necessary comparison. In attempting to reverse engineer estimates of mortality by age category and vaccination status from the various relevant public Government datasets we found numerous discrepancies and inconsistencies which indicate that the Office for National Statistics reports on vaccine effectiveness are grossly underestimating the number of unvaccinated people. Hence, official statistics may be underestimating the mortality rates for vaccinated people in each age category. Although we have not subjected this data to statistical testing the potential implications of these results on the effects of vaccination on all-cause mortality, and by implication, the future of the vaccination programme is profound
 
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