Here is just one of the most ridiculous graphs I have ever seen in a paper.
The "Dose 2 > 180 days" group had the exact same mortality rate. So the "vaccine efficacy" in this group was 34%. With tight confidence intervals.
Not a chance.
But it gets worse!
The "unvaccinated" death rate drops by half in the second half of the year....
Whilst the "Dose 2 8-90 days" quadruples in the same time frame, yet designated as a "13.9% efficacy"
This paper could go down in history.
The figures are all over the place. For "COVID-specific mortality" there is no significant difference between "Dose 2 > 180 days" and "Unvaccinated" as their confidence intervals cross. The "Vaccine efficacy" should include negative in the range. But of course it doesn't
And the "Dose 3 > 180 days" has a death rate of 4.068 compared to 9.704, a 58% apparent drop. Except it is quoted at 71.9.
Who did these stats?
The "all cause mortality reduction" is ridiculous. In Australia COVID peaked at 3.2% of deaths during the pandemic.
So how can any reduction in 3.2% of deaths create a 70% reduction in all-cause mortality?
Give me a break.
This is just healthy user bias.
@profnfenton
This is just a skim of the paper. There is no way this has passed an adequate peer review. There are red flags everywhere.
For instance this is just the declared interests. There are more undeclared interests...
...such as the involvement of the supervising author with the NCIRS which literally curates this data.
When you understand that the patients in the Pfizer vaccine trials did not have their "COVID" diagnosed on the basis of the swab that they sent in, it should become clear how the result was obtained. files.catbox.moe/pikoi0.pdf
To reiterate.
If you were in the trial and had COVID symptoms, you took your own swab and sent it into to Pfizer at Pearl River, who then sent it to Wuhan.
The COVID case was not recorded in the trial on the basis of your local test (e.g. with your GP)