WHAT THE DATA SHOWS
Here’s the result of the analysis comparing unvaxxed vs. 2 doses given at least 6 months ago. I believe this analysis is conservative and the actual numbers are worse than this due to the seasonal variation of the all-cause mortality.
Figure 1. Risk/benefit determination from the UK data shows that for all ages, the vaccines kill more people than they save. A value of 15 means we kill 15 people from the vaccine to save 1 life from COVID. This is from the Exec Summary tab of the spreadsheet.
The data showed that for most age ranges, the vaccine reduced your chance of dying from COVID, but it increased your chances of dying from other causes. The former effect was smaller than the latter effect so the vaccines are nonsensical.
For example, if you are 25 years old, the vaccine kills 15 people for every person it saves from dying from COVID. Below 80, the younger you are, the more nonsensical vaccination is.
The cells in Figure 1 with a * means that the vaccinated had more COVID deaths than the unvaccinated. This is known as “negative vaccine efficacy.” This wasn’t surprising since we’ve been claiming that the vaccines damage your immune system.
Above 80, the UK data was too confounded to be useful. Until we have that data, it’s irresponsible to make a recommendation.
I describe below how you can compute this yourself from the UK data.
Please share this result on all your social media platforms. One user got 10,000 likes in less than 24 hours on Twitter and he had only 2,000 followers. So Twitter permanently suspended his account. So probably not a good idea to share on Twitter. According to Twitter, “health officials consider the COVID-19 vaccines safe for most people” and therefore any UK government data that shows that they are lying is a violation of Twitter Community Standards.