Katharine Gun IX: Data & Stats: Covid vaccine deaths mis-categorised as 'unvaccinated: Norman Fenton

Katharine Gun IX: Data & Stats: Covid vaccine deaths mis-categorised as 'unvaccinated: Norman Fenton
https://politicsthisweek.wordpress.com/2021/12/09/not-the-bcfm-politics-show-presented-by-tony-gosling-69/

Jamie Jenkins, statistician on Talk Radio Mike Graham’s show – 80,000 excess deaths in peoples homes in UK, data from South Africa on Omicron, vaccine passports don’t work.  PMQs – stop 15 min wait after Pfizer vaccine. 
https://www.researchgate.net/publication/356756711_Latest_statistics_on_England_mortality_data_suggest_systematic_mis-categorisation_of_vaccine_status_and_uncertain_effectiveness_of_Covid-19_vaccination

Katharine Gun – lack of science behind the stage 3 trials of Covid vaccines – Pfizer documents on Covid vaccine trials not fully available for over 50 years –  people dying within two weeks of having Covid vaccine not classed as vaccinated   - have Covid measures been responsible for many excess deaths in UK? - analysis by Prof. Norman Fenton from St. Mary’s College, London University – Covid vaccine deaths and injuries recorded on Yellow Card schemes. 

REPORT: Latest statistics on England mortality data suggest systematic mis-categorisation of vaccine status and uncertain effectiveness of Covid-19 vaccination The risk/benefit of Covid vaccines is arguably most accurately measured by an all-cause mortality rate comparison of vaccinated against unvaccinated, since it not only avoids most confounders relating to case definition but also fulfils the WHO/CDC definition of "vaccine effectiveness" for mortality. We examine the latest UK ONS vaccine mortality surveillance report which provides the necessary information to monitor this crucial comparison over time. At first glance the ONS data suggest that, in each of the older age groups, all-cause mortality is lower in the vaccinated than the unvaccinated. Despite this apparent evidence to support vaccine effectiveness-at least for the older age groups-on closer inspection of this data, this conclusion is cast into doubt because of a range of fundamental inconsistencies and anomalies in the data. Whatever the explanations for the observed data, it is clear that it is both unreliable and misleading. While socio-demographical and behavioural differences between vaccinated and unvaccinated have been proposed as possible explanations, there is no evidence to support any of these. By Occam's razor we believe the most likely explanations are systemic miscategorisation of deaths between the different categories of unvaccinated and vaccinated; delayed or non-reporting of vaccinations; systemic underestimation of the proportion of unvaccinated; and/or incorrect population selection for Covid deaths.