Same chart with country labels.
> R2=0.0005; p<0.05 stat. sign.
> This means the introduction of vaccination appears to have no significant effect on acm.
> Countries essentially experienced the same level of excess mortality in flu season 21/22 as in 20/21.
Let's look at the US states. Same result.
> R2=0.14, p<0.05 stat. sign.
> Slight increase of acm in the states that have more vaccination.
BIG USA All-Cause Age-Adjusted Mortality Update!
> The US is now going into seasonal appearing normal mortality pattern, that is just a statistical anomaly, caused by the pull forward effect in 85+
> 25-74 still in significant excess! #COVID#Covid19#Corona#LockdownsKill
... as can be seen here, same thing happened last year. This was falsely attributed to vaccine success:
year-to-date the mortality is likely worse than ever before, at +14% (last year +13%):
Pfizer did instruct the investigators, to avoid testing patients experiencing symptoms that are indistinguishable from COVID-19 up to 7 days after each dose!
On top Prof. Morris, claims that all suspected were negative, which is IMO wrong too. They were not tested at all, otherwise they would not be classified as suspected.
12% is of course wrong - my thread describes that the upper bound of the CLI (Corona like illness) is at 19% VE!
🔥 Finally we have evidence, how Pfizer came to calculate a 95% vaccine efficacy!
Real efficacy is likely only 19%, with a very bad side effect profile of up to 0.8% severe side effects, as reported by German Hospital Study Charité!
As we know from the published study, the vaccine arm suffered from +12.1% and +36.1% more systemic Adverse Events (side-effects) than the placebo group.
These side effects, are indistinguishable from COVID19 in most cases!
The following document, just released in the latest Pfizer batch shows, that Pfizer did NOT test patients for COVID-19, unless the investigator suspected COVID-19, and not vaccine side effects. So it is likely that they would almost never test, but classify them as vax reactions.