The Tale of the UK Covid Vax Data By Richard Miller (London)

A publication now at researchgate.net, with Norman Fenton, documents that official mortality data for England, for both Covid and non-Covid deaths, the two weeks of post first vaccination deaths have been omitted from the official ONS dataset, a  pattern which is repeated in all age groups over 60. The paper speculates that this may be due to including miscategorisation, reporting lags and data handling or transcription errors. My own explanation is much simpler: it is to keep mortality data down. In any case, the conclusion is strong for academics: “The dataset is therefore corrupted, making any inferences about vaccine efficacy or safety that are reliant on the data, moot. Accordingly, the ONS should publicly withdraw their dataset and call for the retraction of any claims made by others that are based upon it.”

  

  

https://www.researchgate.net/publication/358979921_Official_mortality_data_for_England_reveal_systematic_undercounting_of_deaths_occurring_within_first_two_weeks_of_Covid-19_vaccination

“Official mortality data for England reveal systematic undercounting of deaths occurring within first two weeks of Covid-19 vaccination Clare Craig1 , Martin Neil2 , Norman Fenton2 , Scott McLachlan2 , Joel Smalley1 , Josh Guetzkow3 , Jonathan Engler1 , Dan Russell 1 and Jessica Rose4 3 March 2022 Abstract The accuracy of any data purporting to show covid 19 vaccine effectiveness or safety is critically dependent on the accuracy of four measurements: (1) people classified as having the disease; (2) vaccination status; (3) reported deaths; and (4) the population of vaccinated and unvaccinated (the so called ‘denominators’). Errors in any of these could undermine claims of vaccine effectiveness or safety. We have previously identified anomalies in the UK Government’s ONS deaths by vaccination status data (ONS dataset) - specifically that some deaths occurring shortly after vaccination are being wrongly classified as unvaccinated deaths. In this paper we identify a further problem that appears to explain anomalies in the ONS data: the total deaths reported by ONS are significantly lower than we would expect compared to other government datasets, even allowing for the fact that the ONS use only a subset of the population. For both non-covid and covid deaths respectively the number of deaths reported for the within 21 days of first dose vaccination category tally almost perfectly with the number of deaths that would be expected should they have occurred in the third week alone. Thus, for both covid and noncovid deaths, the two weeks of post first vaccination deaths appear to have been omitted from the ONS dataset. This pattern is repeated in all age groups over 60. A variety of factors could have led to deaths in the first 14 days being omitted in the ONS dataset, including miscategorisation, reporting lags and data handling or transcription errors. The dataset is therefore corrupted, making any inferences about vaccine efficacy or safety that are reliant on the data, moot. Accordingly, the ONS should publicly withdraw their dataset and call for the retraction of any claims made by others that are based upon it.”

 

 

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Saturday, 18 May 2024

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