🛠️ GUIDE: How to Spot Vaccine Fraud 💉

>> 5 Key Steps to Evaluate Any Trial Study <<

🧵A thread... Evaluating the safety and effectiveness of vaccines requires careful scrutiny of clinical trial methodologies. Here are five essential steps to identify potential flaws or fraud in vaccine studies.

💥💥💥 An official CDC FOIA response confirms that the validation of the SARS-CoV-2 genome has not been completed to scientific standards! 💥💥💥

CDC Unable to Scientifically Verify Full SARS-CoV-2 Genome, Leaving Potential for Semi-Random Construct.

🧵 A thread... The response:

CDC has responded to my FOIA request, in which I have asked for records related to these four points:

1. Records on single virion sequencing of SARS-CoV-2 that ensured the virion was physically isolated from any other genetic material before sequencing.

This may as well be part of the script/disinformation campaign after all:

>> This is important to understand <<

Hypothetical Disinformation Campaign Scenario

1. Initial Denial:
• Key Players: Military, secret agencies, health authorities, virologists, philanthropists, etc.
• Action: Strongly deny any allegations of a secret operation involving a lab-manufactured virus leak (commonly referred to as the “Lab Leak Theory”).
• Narrative: Label the lab leak theory as a baseless conspiracy, dismissing it without thorough investigation.

2. Diversion:
• Media Strategy: Shift the focus of the media to alternative explanations, such as the “Zoonosis Theory” (natural transmission from animals to humans).
• Examples: Highlight potential sources such as bats and pangolins to distract and redirect public attention.
• Impact: This redirection aims to convince the majority of the population (~70%) to believe in a "viral spillover", thus novelty of the virus.

3. False Confirmation:
• Controlled Leaks: Release unverifiable “evidence” that appears to confirm the lab leak theory through credible sources.
• Staged Reports: Media outlets present findings like the Furin Cleavage Site or HIV inserts as proof of the lab-manufactured origin.
• Public Reaction: Skeptics (~25%) quickly adopt this narrative, now able to direct their frustration towards those seemingly responsible.

4. Framing:
• Agenda Alignment: Shape the lab leak confirmation to justify specific actions or policies that stakeholders wish to implement.
• Justifications: Use this narrative to defend the necessity of questionable virological surveillance, mass testing, lockdowns, masking, and mass vaccinations as preventive measures.

5. Public Manipulation:
• Perceived Investigation: Convince the public that the origin of the virus has been thoroughly investigated and validated, creating a false sense of certainty.
• Acceptance: The public now either believes in the perpetual risk of natural spillover or lab leak pandemics, leading to widespread acceptance of continuous countermeasures.
• Focus Shift: Rather than calling for the cessation of Gain-of-Function (GoF) research, the narrative shifts to the inevitability of such research due to its international nature, emphasizing the need for ongoing measures like viral surveillance, mass testing and vaccinations.

Summary: Stakeholders deny the “Lab Leak Theory,” redirect media to natural origins, then release false evidence supporting the lab leak to win over skeptics. This frames their original techniques and countermeasures as necessary, manipulating the public into accepting any future measures. Instead, people like Dr. Binder have pointed out since 2020, that the use of mass PCR testing, is entirely responsible for this phenomenon:

https://x.com/Thomas_Binder/status/1795691467760968078

🧵Thread of posts showing no COVID-19 vaccine efficacy!

https://twitter.com/USMortality/status/1483995426839986183

https://twitter.com/USMortality/status/1499417726342868994

There are several problems with the reference genome (b) published by Wu et al. 2020 (a):

1. The sequenced patient sample contained genetic material from different sources: human, bacterial, viral, etc. Although known sequences were filtered out after sequencing, there is no guarantee that all non-novel-viral sequences were actually removed.

2. The patient's human genome was not sequenced for control.

3. Reassembly of the dataset published by Wu using Megahit does not provide the exact or complete sequence as published.

4. Trinity, the second program used for de novo sequencing, is unable to generate the identical contig.

5. When using untrimmed or protocol-trimmed reads (Takara), no reads are found that perfectly match both ends of the genome. This is unusual because, according to a theoretical simulation, several ends should be found in the sample. (c)

6. It has not yet been proven that the entire sequence (~30 KB) actually occurs in this form in the samples, e.g. by agarose gel electrophoresis or (Sanger/whole genome) sequencing.

7. Wu et al. published three versions of the reference genome, the first of which contained known sequences from the human reference genome. The fact that the first version contained human sequences suggests possible problems with sequencing or analysis.

8. The amplicons, i.e. the sequences of the ends found using RACE, have not been published. The non-publication of the amplicon sequences raises questions about the transparency and reproducibility of the study.

9. The only non-Chinese author of this paper, Eddie Holmes, confirmed to me by email that he had no detailed knowledge of these issues. There was silence from the Chinese side, although questions were asked via Holmes. (d)

These clear scientific problems therefore clearly call into question the validity of the SARS-CoV-2 sequence.

(a)
(b)
(c)
(d) ncbi.nlm.nih.gov/pmc/articles/P…
ncbi.nlm.nih.gov/labs/virus/vss…
usmortality.substack.com/p/why-the-ends…
usmortality.substack.com/p/why-do-wu-et… 10. Wu et al., only published a single run, which is supposed to prove the sequence.

There's a large pharma funded Measles Scare Campaign ongoing.
The actual data doesn't support this. ecdc.europa.eu/sites/default/…

‼️ 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: ... 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.

🔥 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.

💥💥💥 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.

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!

💥 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 Same chart with 95% prediction intervals.

There's just no denying with this. The increase of disabilities in the US since Covid-19 vaccine rollout is statistical significant.

https://twitter.com/USMortality/status/1733421623196500058

This is not based on any y-axis trickery either.

🔥 Switzerland's birth rates are now at a record low! Excess Mortality:

There's definitely a signal in the NZ death/CMR data: However, that's completely de-confounded or masked when using ASMR - which would suggest, that it's mostly elderly that are dying?

🔥 Median all-cause excess mortality in the 20 most vaccinated highly developed countries increased by +149% after vaccination rollout!

#COVID #COVID19 #Vaccine #MRNA #Excess #ExcessDeaths

Results

In 2020 median excess mortality in the top 20 highly developed countries was +4.5%, with the mass vaccine rollout in 2021, it increases to +9.9% and even further deteriorated in 2022 to +11.2%.

❓ How many countries saw an improvement of relative excess mortality with mass vaccination?
📉 3 📈 17
➡️ Only three countries saw an improvement in excess mortality, 17 had their excess mortality increase.

❓ How many countries achieved normal excess mortality levels (<1%) with vaccination?
📉 0 📈 20
➡️ None of the countries saw a return to negative or close to zero excess mortality levels.

Here are the individual excess mortality charts for all 20 countries:

Methodology

The 20 most vaccinated countries of the @OurWorldInData COVID-19 dataset were selected (min. 1 dose) and filtered by a very high Human Development Index (HDI) >=0.8 value. (1)

Excess Mortality was assessed by age-standardized mortality rates, where available, otherwise crude mortality rate (CMR) was used. A conservative pre-pandemic three-year average 2017-2019 (as used by Levitt et al. (9)) of the mortality rate was used as baseline, except for the United Arab Emirates, where the average of 2018-2019 was used, due to limited data availability.

Relative excess mortality was calculated by the @MortalityWatch tool, all links to charts can be found in the provided spreadsheet. (2)

Discussion

In contrast to general expectations, excess mortality continued and almost tripled with global mass vaccine rollouts.

Considering, that:

1) The COVID-19 vaccines are said to offer a protection against death of up to 94%, according to the CDC, this should have led to a massive reduction in overall excess mortality, not an increase. (3)

2) 2020 IFR estimates by Ioannidis et al., already demonstrated a moderate IFR for all age-groups of 0.23%, and 0.05% for <70-year-olds. (6)

3) Subsequent virus variants decreased in CFR/IFR, a drop of 79% in IFR from previous variants was reported for the Omicron variant in 2022. (8)

4) Early variants of 2020 lead to many deaths in the most vulnerable, hence a temporary mortality deficit should be expected going forward. (“Pull forward effect”)

5) The early diamond princess outbreak of 2020, demonstrated that only about 20% of people tested positive. Since measures and awareness were non-existent at that point in time on the ship, it is clear, that a significant amount of the population must have pre-existing immunity. (7)

6) Use of a conservative three-year average baseline method. In many countries, a declining mortality trend can be observed pre-pandemic. In this case, the average method, could even lead to underestimation of excess mortality.

Given these reasons, it appears mathematically impossible, for excess mortality to rise in subsequent years after a novel virus outbreak, and with a “highly effective vaccine” available.

HDI was used as an indicator, to quickly control for several confounders, that typically impact mortality levels in lower developed nations. E.g. general health status, income levels, poverty levels, that typically impact health outcomes. A common example is when mistakenly comparing lower HDI countries such as eastern European nations, e.g. Bulgaria, with higher HDI countries.

Often, restrictions & NPI's are brought forward as the reason why 2020 saw relatively fewer excess deaths. However, it is already established by now again - as it was pre-2020 for seasonal influenza - that none of the NPI's have significantly reduced the spread of COVID-19. (Meta studies by Cochrane and Johns Hopkins (4) (5)). Germany's R value already decreased below 0, before the first lockdown in March 2020, indicating the natural limitation of outbreaks.

Sources & Data

1)
2)
3)
4)
5)
6)
7)
8)
9)






Again noteworthy, due to the average baseline method, the increase is not due to a modeling artifact!

Has the Measles (MMR) vaccine scientifically been shown to reduce measles cases or deaths?

A deep dive into the scientific literature!
⬇️⬇️⬇️

A Vaccine For Measles Prevention
CDC currently states (1), that they recommend the MMR vaccine to protect against measles.
Two products are available: M-M-R II and PRIORIX.

What is Measles?
According to Mayo Clinic (2) a 'red, blotchy rash' usually appears on the face.
Also, the following clinical symptoms are listed:

Now that we know what clinical measles looks like, let's take a look at the package inserts of the two products!

M-M-R II (rHA)
Merck's package insert (3) lists the clinical trials on page 20.
Here it says, that only the antibody response was compared against the previous M-M-R II HSA vaccine.
--> No clinical indications as endpoints, no real placebo used!

PRIORIX
The second current vaccine, was also simply compared to the antibody response of M-M-R II.
--> Also, here: No clinical indications as endpoints, no real placebo used!

1/2 (See next Tweet for continuation)

Sources:
(1)
(2)
(3)
(4)






M-M-R II (HSA)
Licensed since 1978 - the package insert (5) of Merck's original MMR vaccine, lists the following clinical trials
Of which, only reference 29 and 32 mention measles.

Reference 32 is not a clinical trial, only 29 is, in which I will discuss the details now:

Development and Evaluation of the Moraten Measles Virus Vaccine
According to the study published in 1968 in JAMA (6), three vaccines were compared for their clinical reaction and their antibody response.
I do not have access to the full text, but according to the abstract, the endpoints did not include the case rate of measles cases or deaths.

Also, no placebo was used!

Finally, let's look at the first measles vaccine created by Enders:

Edmonston B and a further attenuated measles vaccine--a placebo controlled double blind comparison.

In this original study from 1967 (7), the authors describe, how they performed a clinical trial of 300 children, that did not have measles before. Split into three groups, they used two measles vaccines, and one placebo, then monitored them for only three weeks (!!).

Moreover, there's no mention in the study of any surveillance of clinical signs of measles illness. They simply measured the fever of the children, and implied that this infers protection. No long term follow up or monitoring was performed. They did simply rely on antibody serum tests, again, to establish efficacy.

As you can see, we've now reached the end of the trail. It goes back to an experiment in 1967 in Honduras where 300 children were monitored for 3 weeks. No efficacy for measles cases or deaths was established. All subsequent studies rely on this original study.

Sources:
(5)
(6)
(7)

🔥 Why do Wu et al. 2020 refuse to answer scientific questions regarding the claimed SARS-CoV-2 sequence?
Several attempts to contact the original authors remain unanswered, even via Prof. Holmes.
#SARSCoV2 #Covid19 #Covid #Genomics #Sequence #Wuhan *Background*
In my genomics series, I have tried to unravel, what happened in late 2019 and early 2020, as the team around Prof. Zhang and the Chinese CDC identified the first sequence claimed to be the genome of SARS-CoV-2.

🔥 A deep dive into how Pfizer and their original mRNA manufacturer BioNTech prepared early for the pandemic that appeared to unfold into 2020...
#COVID19 #Covid #mrna @RobertKennedyJr @Johnincarlisle @delbigtree @AlexBerenson @benshapiro @elonmusk @KimIversenShow
1/n 🧵 9/4/2019
Bill #Gates invests 50 million euros in Biontech, a manufacturer of genetically engineered therapies for cancer patients.
investors.biontech.de/news-releases/…

Dr. Rancourt PhD: "There's a strong correlation to poverty, which is one of the pieces of evidence that allows you to say that this is not a virus. [..] No matter how you slice it, there's absolutely no correlation with age, which is a definitive proof that this cannot be COVID" "During the covid period, all western countries cut antibiotics prescriptions by 50%, so they were not treating bacterial pneumonia."
"The age structure of the excess mortality has changed as you move into the vaccination period."

Block recommendation thread.
We can all help to stop spread Big Pharma propaganda trolls, by all blocking these dishonest & malicious accounts:
@TweetiepieHawly
@thereal_truther
@jason_willz1
@RightoidBS
@PeterHotez
@doritmi
1/n twitter.com/i/web/status/1… @EricTopol

Space Thread.