How to lie with statistics – Vaccine efficacy edition
The Naked Emperor’s Newsletter | April 23, 2022
Just a quick post to show another method of how to increase vaccine efficacy. This time looking at data from Switzerland and Liechtenstein (S&L).
By mid December 2021, S&L were at the peak of their third wave. It was ok though because 67% of the country had been fully vaccinated, 17% with a booster. 32% of selfish people had still not been vaccinated however.
As the vaccines stop people from going to hospital this would show up in the stats.
Yes, as predicted, there was a slight increase in hospitalisations for fully vaccinated citizens (Moderna – red line, Pfizer – light blue line) but a massive spike in hospitalisations for those pesky unvaccinated (dark blue line).
Job done, vaccine efficacy proven.
But hold on a second, there is another category. “Vaccine unknown, fully vaccinated”. Let’s add this to the graph.
They don’t really want you to see this line so have made it a faint grey colour. However much they would like to pretend it wasn’t there, it is. And it shows a lot of fully vaccinated people going to hospital, and continuing to go to hospital, until March 2022, well after the peak for unvaccinated individuals.
Lot’s of fully vaccinated people going into hospital who have forgotten which vaccines they had. Did they forget or were they too ill? Is this an admin issue or are these people who had a combination of vaccines and so couldn’t be put in one category?
Either way, this grey lined category shifts a lot of people out of the Pfizer and Moderna vaccinated categories. It makes vaccine efficacy look much better than it actually is by saying only this many Pfizer or Moderna vaccinees were hospitalised.
Another great example of how to lie with statistics.
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