> One source (14 per 100k vs 10 per 100k):
Please do not cherry-pick data that has hidden confounding variables. The data DOES NOT SHOW that vaccinated (but not boosted) are getting sick and dying at higher rates than unvaccinated. You are being severely misleading with your statements as “facts”.
Most importantly “In the last week from 08 January 2022 to 14 January 2022, in an age-standardised population, the COVID-19 related death rate in individuals that received a booster or third dose of a COVID-19 vaccine was between 3.2 to 9.4 times lower than individuals who are unvaccinated or have only received one or two doses of a COVID-19 vaccine.”. That directly contradicts your “fact”, and the reason is the simple one that your numbers are not standardised for age i.e. more older people are vaccinated so more vaccinated people die. This should not need to be repeated ad nausium. Pay attention to the facts and please stop misrepresenting the truth.
From page 34 of that report:
“PLEASE READ BEFORE REVIEWING THE FOLLOWING TABLES AND FIGURES There is a large risk of misinterpretation of the data presented in this section due to the complexities of vaccination data. A blog post by the UK Health Security Agency (UKHSA), formerly Public Health England (PHE), provides a comprehensive explanation of the biases and potential areas for misinterpretation of such data. They state that a simple comparison of COVID-19 case rates in those who are vaccinated and unvaccinated should not be used to assess how effective a vaccine is in preventing serious health outcomes, because there are a number of differences between the groups, other than the vaccine itself, and these biases mean that you cannot use the rates to determine how well the vaccines work.
Below are examples of some of the complexities and biases that need to be taken into consideration when interpreting these data. This is explained in more detail in our blog on the PHS website.” And from page 35: “There are likely to be systematic differences and biases between the vaccinated and unvaccinated groups, such as behaviour, vulnerability and previous infection, that are unaccounted for when comparing rates. As most of the population is vaccinated, these differences become more evident and could create bias in case/hospitalisation/death rates between vaccinated and unvaccinated population.”