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May 4, 2022 12 tweets 5 min read Read on X
🔥 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!

🧵 1/n #Covid #Covid19 #Corona #Coronavirus
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! Image
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. ImageImage
Pfizer reported these side effect as "unconfirmed COVID-19" in the just released documents.

Here we can see, that suspected COVID-19 was reported in 1595 vax recipients, and 1816 placebo recipients.

Based on these numbers VE is about 12%, but ... Image
Of course, in reality one must include the confirmed COVID-19 cases as well, which would yield:

VE = ((1816+162)-(1594+8))/(1816+162) = 19.0%

So overall, we have strong reasons to believe that the vaccine might be just 19% effective in preventing COVID-19, but...
A recent study from Germany's top hospital Charité Berlin, revealed that about 0.8% of vaccinated suffer "severe long-term side effects".

So it becomes quite clear that the cost/benefit overall is very likely there, given the fairly large chance of severe side effects, compared to other vaccines!

Sources:
phmpt.org/pfizers-docume…
cdn.pfizer.com/pfizercom/2020…
blogs.bmj.com/bmj/2021/01/04…
H/t to @justin_hart for providing some of the links and screenshots!
Small addendum & correction, since Twitter still doesn't have an edit button:

3. post: "Pfizer did NOT test patients for COVID-19 *up to 7 days after vaccination*, unless the investigator suspected COVID-19, and not vaccine side effects."
7. post: "So it becomes quite clear that the cost/benefit overall is very likely *NOT* there,"
Summarized:
Pfizer encouraged to generally not test for COVID-19 up to 7 days after each vaccination.
It would have just taken 154 patients to bring VE to 0%.
That represents just 3.1% ( `(162-8)/(2421+2627)` ) of vaccinated patients that experienced any vaccine side effect!
And here's part 2:

In this thread Jikky explains another vector of evidence that proofs that the vaccinated arm also got infected (but since not tested, undetected):

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More from @USMortality

Mar 17
There's a large pharma funded Measles Scare Campaign ongoing.
The actual data doesn't support this.Image
Read 8 tweets
Mar 7
‼️ Phantom Vaccine Efficacy!

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:Image
... 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. Image
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. Image
Read 6 tweets
Mar 1
🔥 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.Image
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?Image
Read 7 tweets
Feb 17
💥💥💥 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!Image
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. Image
Plotted against the official total monthly all-cause deaths from , shows a very close match of this dataset. stats.govt.nz
Image
Read 12 tweets
Feb 17
They give it all away in the package insert. Flu vaccines are a scam. By definition, they cannot work! Image
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! Image
Ontop of the viral strains, which contain multiple chemicals and biological substances, such as cow blood, this flu vaccine also contains mercury (THIMEROSAL)! Image
Read 7 tweets
Jan 12
💥 Age-Adjusted Excess Mortality now available for Germany 2023!
> Reversal to trend in 2023, to only +0.8% excess.
> Confirms high excess mortality during vaccination campaigns.
> Both 2020 and 2023 completely normal.
#Covid #Covid19 #mrna #Vaccine Image
Same chart with 95% prediction intervals. Image
... absolute excess values. Image
Read 5 tweets

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