It's a trap!

(They outright lied to us!)

Pfizer vaccine trial data shows us 95% efficacy, what does that means?

All those “cases” on that Kaplan–Meier curve Pfizer proudly showcased have specific way how they ended up as data points on that plot!

In document https://www.fda.gov/media/144245/download on page 14 there is “case definition” for Covid-19 cases that will be presented as data points on that famous curve! It says there:

“for a confirmed COVID-19 case was the presence of at least one of the following symptoms and a positive SARS-CoV-2 NAAT within 4 days of the symptomatic period:

• Fever;

• New or increased cough;

• New or increased shortness of breath;

• Chills;

• New or increased muscle pain;

• New loss of taste or smell;

• Sore throat;

• Diarrhea;

• Vomiting. “

(Image1-Famous efficacy plot)

Based on this definition, “vaccine efficacy” is obtained trough symptoms reduction, or “VE” Is number that represents “symptomatic reduction of covid-19 cases”!

That is where trouble starts!

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When regulators, scientists and others use this data to calculate or estimate HIT (herd imunity treshold https://en.wikipedia.org/wiki/Herd_immunity ) what they are purporting is...FRAUD!

They misrepresent data on symptomatic reduction and present it as transmission reduction data that they used to calculate or estimate herd immunity threshold!

In order to calculate HIT, you have to design a study in a specific way to test ALL the people involved, and you have to test them in period that is shorter then infection duration, in signal processing the term you have to satisfy is called “Nyquist–Shannon sampling theorem” that is, you have to take samples in periods that are at least half of the infection duration (or sampling frequency has to be double compared to sampled signal frequency as theorem states)!

There are good studies done that satisfy that requirement, like:

SARS-CoV-2 Transmission among Marine Recruits during Quarantine https://www.nejm.org/doi/full/10.1056/NEJMoa2029717

where all recruits are tested every 7 days!

Unfortunately that study is done before vaccine was available but it is good example how study should have been designed (this shows intent to avoid getting relevant data).

All other subsequent efficacy studies included bias, first is CDC’s favorite “do not test vaccinated” (kind of evidence tampering in “judicial sense”) where system is set up to avoid testing vaccinated as much as possible (to create sampling bias), tool to help facilitate this is green pass, covid pass-vaccination record systems they try to put in place!

So all estimates on “real world vaccine efficacy” IS skewed, and results are weird, since UK data showed that prevalence of Covid-19 in adjusted population among vaccinated was higher!

https://www.gov.uk/government/publications/covid-19-vaccine-weekly-surveillance-reports In weekly reports graph that compares prevalence in population is fig.2,

This graph on the left is week 47 in UK, where UK stopped making these graphs in their reports at around week 42? since it shows colossal failure of vaccination to stop the spread!

Because of that UK with its fairly high vaccination rate is suffering skyrocketing of cases checked on 12/21/2020 also few other counties listed below (image2-UK)

(Image5-Uk prevalence of cases by vaccination status from Week47)

(Image3-AU)

(Image4-NZ)

Another anomaly was that all countries that had higher rate of vaccination had higher number of cases! In paper that took all available data from as many countries as possible and plotted linear regression fit https://link.springer.com/article/10.1007/s10654-021-00808-7 angle was opposite of expected, in the picture I tried to emphasis real world data to promised data that is preached all the time:

Note that if “vaccine works” stopping the spread (instead it looks like it enhances the spread) pink curve should be observed, the more you vaccinate the lower the number of cases are!

Data shows other way around!

(Image6)

More absurd situation would be in few places (Waterford Ireland) that had almost perfect vaccination rate (99.7%) had record breaking number of cases https://www.planet-today.com/2021/10/ireland-town-thats-997-fully-vaccinated.html this is not alone case (Singapore, Australia, Iceland, UK check images above…) looks more like a rule!

One more peace of compounding evidence just came in, it appears that compared viral load in both groups vaccinated and unvaccinated, just to conclude ‘viral load is similar’ (papers that described this are: https://www.cdc.gov/mmwr/volumes/70/wr/mm7031e2.htm and https://www.medrxiv.org/content/10.1101/2021.07.31.21261387v1.full.pdf

(Image7-viral load)

Fortunately we still have few good scientist left like US Marines, or Prison Ward managers that took “shotgun approach” when they experienced outbreaks at their facility, and tested everyone-often!

Results are described in paper:

Effectiveness of the mRNA-1273 Vaccine during a SARS-CoV-2 Delta Outbreak in a Prison

https://www.nejm.org/doi/full/10.1056/NEJMc2114089

What we can see here is stunning in table1 ! Ratio of symptomatic to asymptomatic is 11.75:1 !

(Image8-ratio)

1 overall vaccine efficacy against infection is 56% (that includes previously infected that skews result up), real efficacy is in table S3 – 49.5% on vaccinated without prior infection!

(Image9-true transmission reduction efficacy)

Now go back to HIT definition on https://en.wikipedia.org/wiki/Herd_immunity and try to calculate will this vaccine stop the spread even if R0=3 as it was in original strain?

R needs to fall below 1 to stop the spread, with only 50% transmission reduction, R drops to 1.5…that does not stop the spread!

Vaccine with 50% transmission reduction works only on viral disease with reproduction number up to 2! 2.1 and up it FAILS to stop the spread, in reality with these leaky vaccines you actually harm vulnerable population that you promised protection by reaching HIT!

Enter new strains:

https://en.wikipedia.org/wiki/Herd_immunity#/media/File:Herd_immunity_threshold_vs_r0.svg that have reproduction numbers ranging from 4-8 for Delta variant, and omicron that is even higher, and that situation is way worse now!

None of these vaccines could stop this, and then knew this!

Actually worse, look at prison study ratio of asymptomatic cases in vaccinated group 47/4 or almost 12 times more cases were without symptoms!

You all heard about Typhoid Mary? Basically people without symptoms spread virus more, also people in certain social settings spread virus way more (claim is 10% of people are responsible for 80% of cases)! What vaccine does is creates mass of this asymptomatic spreaders, no wonder countries with higher vaccination rate has higher number of coronavirus cases! https://link.springer.com/article/10.1007/s10654-021-00808-7 (image 6 from this paper)

That is exactly the opposite from that effort to protect vulnerable, by mass vaccination you put these people at increased risk, and all people not trusting vaccine manufacturers and corrupt regulators!

To make things worse vaccine adverse events compound to that harm (more on that in another article)!

To conclude:

Problem is deeper, our regulators and top media-scientists KNEW that study design was not proper to answer these questions, and they did not reject the study or collaborate with vaccine manufacturers to design proper studies, they colluded with them (as accomplice in crime) in concerted effort to commit FRAUD and DECEIT people in order to COERCE population into taking vaccine under FALSE PRETENSE that it will stop the spread!

To try to convey this idea to regular folks ill use analogy that might be easier to understand: If you want to purchase company, and you order audit, but auditor and seller conspire a “deal”, and (mis)present sales data as profit, you became victim of fraud!

This is only first part of pharmaceutical-fraud series, there is more to come!

Merry Christmas, this article is my present to you!

I hope lawyers will use this information productively, if in need of more information I’m here. I would appreciated constructive comments, more knowledge is always better and yields clearer picture!