ℹ️ Big German Mortality Update! 🪦
Currently in week 15/22 +0.8% age-adjusted all-cause excess mortality over baseline 2015-2019.
🧵 1/n #Covid#Covid19#Corona#Coronavirus
Summed up by year-to-date:
Full year:
Full year without COVID-19:
Over time vs vaccinations and COVID-19 deaths:
By quarter:
By age group:
By state & quarter:
By state and flu season for the last 2 years:
Correlating the change (delta) in excess mortality of the last two flu seasons by state with its vaccination levels reveals that the vaccine did not seem to have any sign. effect. (The slight positive correlation, is not stat. significant).
Now you might ask, why correlate the delta vs vaccination and not just the excess mortality?
The reason is that we can already see a trend essentially without vaccination in the flu season '20/'21. (Vaccinations until the end of season <10%).
For example, in the '20/'21 flu season Bremen had a -3.2% mortality deficit, while in the '21/'22 season, the excess mortality went to +2.0%. An increase of +5.2%, that is with the introduction of vaccines and with so called "milder variants". Wouldn't we expect to see a decline?
A list of statistical tricks, that can be used to calculate an illusion of vaccine efficacy with a placebo alone.
For this exercise, I have used a sine wave to simulate weekly deaths:
... and a logistic growth function to simulate placebo vaccination from 0 to 75% of the population.
By the green/red dots, we can see no difference/effect, as no statistical tricks are applied yet.
Trick 1: Unknown Vaccination Status --> Unvaccinated.
If 50% of Unknown vaccination status is treated as unvaccinated, almost 3x higher mortality rates appear for unvaccinated. This is entirely an illusion.
🔥 All-cause mortality by vaccination status from the Netherlands shows likely no vaccine efficacy, possible harm!
Deaths per 100k population by vaccination status shows an initial spike for the vaccinated during the vaccination rollout, and consistently higher mortality levels.
The initial peak may be related to confounding as more elderly/frail were prioritized, to reporting artifact (Fenton et al.), or vaccine harm.
Only focusing on the mid 2021 data, where the lines move in tandem, we still see a diverging of rates after the late 2021 winter peak.
Here adjusted for the levels during extremely low COVID-19 prevalence in Summer of 2021, we can possibly see, no efficacy and a drop for unvaccinated and slight increase for vaccinated, possibly even indicating negative efficacy?
💥💥💥 The latest official New Zealand FOIA data of All-Cause Mortality by COVID-19 vaccination status & age, shows that the vaccinated are the driver of all-cause excess mortality!
Clearly, unvaccinated deaths did not account for any major spikes in excess mortality!
I have analyzed the official NZ data which was published due to a FOIA, and initially analyzed by @sco0psmcgoo.
Here split by age group & vaccination status!
0-20 and 100+ may be incomplete, but those are also rather small numbers.
Plotted against the official total monthly all-cause deaths from , shows a very close match of this dataset. stats.govt.nz
They give it all away in the package insert. Flu vaccines are a scam. By definition, they cannot work!
Moreover, they did not even bother to test for potential of these vaccines to cause cancer or mutations.
Yet, they use the say 14 day trick to claim efficacy!
Ontop of the viral strains, which contain multiple chemicals and biological substances, such as cow blood, this flu vaccine also contains mercury (THIMEROSAL)!