One of the leading scientists proposing that the Covid vaxxes will result in mass casualties, and thus global depopulation, is Dr. Michael Yeadon, a former vice president at Pfizer, who recently spoke at the online session of the Corona Investigative Committee in Germany. On the experimental mRNA jabs, he said: “By choosing this design, the range of outcomes is probably 1,000 times worse than it would be for a conventional vaccine.” “This is a conspiracy led by the central banking clique and their clients to take over the world,” Yeadon says.

“Once they’ve done that, destroyed the economy … a great financial reset which will have us using our vax passes and digital ID, and central bank digital currency … you won’t like those, you really want. It’ll be the end of cash and any privacy for any transactions.”

Yeadon says that if depopulation of the planet is one of the goals, then “the setup is so perfect.”  “The current so-called ‘good’ batches could be batches with code to activate long-term adverse events,” suggested one commenter at Brighteon about the potentially different outcomes of jabs from different production lots. “One can’t be sure a good batch is a good batch?”

https://www.naturalnews.com/2022-01-10-toxic-pfizer-covid-vaccines-weapons-designed-depopulation.html

“The Corona Investigative Committee in Germany held an online session that was attended by Dr. Michael Yeadon, a former vice president at Pfizer, who shared the latest damning evidence about Wuhan coronavirus (Covid-19) “vaccines.”

Yeadon has become something of a “conspiracy theorist,” at least in the eyes of the establishment. Despite working at Pfizer in an executive-level position for more than three decades, Yeadon does not believe that his former employer’s injections are safe or effective.

In fact, Yeadon is not necessarily convinced that the Fauci Flu even exists as claimed. If by some off chance it is something more than just a nasty seasonal flu, it still is not even close to being as deadly as the media and governments continue to claim it is.

“It turns out that it’s not a particularly lethal virus, if it exists,” Yeadon stated during the symposium. “Or it’s about the same as a bad seasonal influenza.”

Everything from the PCR tests to the masks to the idea of “asymptomatic spread” is fraudulent, Yeadon warns. PCR tests “don’t tell you anything,” he says, and cloth masks “if anything make you more likely to catch an unusual bacterial pneumonia because you’re breathing through a filthy cloth.”

As for the blue masks, these are nothing more than splash guards. Their purpose, Yeadon says, is “to stop blood and bodily fluid from going into the nose and mouth of the attending worker” at the hospital.

“They’ve never been for filtering your breath, and they obviously don’t do so,” Yeadon says about the blue masks

Covid jabs are a depopulation and destabilization plot to usher in a Great Reset

The so-called “vaccines” are perhaps the most offensive component of the sham, though. These, Yeadon says, were “always going to harm people” because of the horrible way they were designed.

Not only is messenger RNA (mRNA) technology completely new and experimental, but the encoding that was done to have the shots target just the outside of the spike protein makes them exceptionally dangerous.

“By choosing this design, the range of outcomes is probably 1,000 times worse than it would be for a conventional vaccine,” Yeadon says about the mRNA jabs.

Another thing is the fact that not every vial of alleged vaccine contains the same ratio of components or even the same components at all. Some people seem to be receiving exceptionally lethal concoctions while others appear to be getting a placebo.

Yeadon also says that two people who receive the exact same injection might experience different outcomes. One person might have no negative effects while the other ends up dying – think Russian roulette.

Yeadon previously spoke out against the safety and efficacy claims for his former employer’s jabs, warning that there is “clear evidence of fraud.”

Not only do the jabs not provide any real protection against covid, but they are highly dangerous. They do not prevent infection or spread, and at best, we are told, merely help to lessen symptoms.

If these were true vaccines, vaccinated people would experience a lower viral load than unvaccinated people. The reality, though, is that viral loads tend to be the same in both groups – so what are the jabs actually doing?

In Yeadon’s view, the whole thing seems to be a widespread plot by those who control the financial systems of the world to destroy economies, supply chains and society at large in order to usher in a new age.

Part of this plot involves massively depopulating the planet, which will largely be accomplished by the injections. There will be other fallout from broken supply chains that lead to mass starvation and societal chaos as well.

“This is a conspiracy led by the central banking clique and their clients to take over the world,” Yeadon says.

“Once they’ve done that, destroyed the economy … a great financial reset which will have us using our vax passes and digital ID, and central bank digital currency … you won’t like those, you really wont. It’ll be the end of cash and any privacy for any transactions.”

Yeadon says that if depopulation of the planet is one of the goals, then “the setup is so perfect.”

“The current so-called ‘good’ batches could be batches with code to activate long-term adverse events,” suggested one commenter at Brighteon about the potentially different outcomes of jabs from different production lots. “One can’t be sure a good batch is a good batch?”

Another asked God to protect Dr. Yeadon and others like him who are risking their lives by coming forward to tell the truth about this evil plot.”

Dr Yeadon’s view on the depopulation agenda is supported by the dramatic failure of the covid vaxxes to control the infection. Data from highly-vaccinated countries show that Covid vaccines increase both the total Covid case load per million and the total number of deaths associated with Covid.

https://www.naturalnews.com/2022-01-10-data-countries-covid-vaccines-associated-sickness-death.html

“The most coercive vaccine program in the history of the world has yielded terrifying results across 145 different countries. Data from these heavily-vaccinated countries show that covid vaccines increase both the total COVID-19 case load per million and the total number of deaths associated with COVID-19. This statistical trend of depopulation occurred in approximately 88% of the countries studied. This increase in cases and deaths is a direct result of the causal impact of the vaccine rollout.

These findings are derived from an independent analysis, titled, “Worldwide Bayesian Causal Impact Analysis of Vaccine Administration on Deaths and Cases Associated with COVID-19: A Big Data Analysis of 145 Countries.” The source data is collected from Our World in Data and analyzed by Kyle Beattie. This independent analysis has been ignored by the CDC, the FDA and the NIH since October of 2021. As a result, the intent of these government agencies is becoming clearer by the day.

Vaccine mandate did not lead to herd immunity, caused spike in covid-19 cases and deaths instead

The vaccine was sold to the public as the “key to getting back our freedoms.” Lock downs, restrictions, mandates and other threats to civil liberties and individual rights were used by totalitarian governments to coerce maximum compliance with this medical experiment. The pharmaceutical companies, the politicians, Big Tech and the corporate media promised that these new mRNA vaccines would reduce symptoms across the population and thereby reduce the number of covid cases and deaths associated with severe acute respiratory syndrome. However, after a year of pushing vaccines on the public through unlawful mandates, the opposite is proving true.

This statistical analysis used standard computing procedures to determine the causal effect of vaccine administration on two dependent variables that have been measured throughout the covid-19 scandal. The results of the analysis were troubling. The statistical analysis found that causal impacts of the vaccine on covid-19 cases range from -46% to +12240%, with an average causal impact of +260.88%. Additionally, causal impacts of the vaccine on covid-19 associated deaths range from -19% to +19015%, with an average causal impact of +463.13%. At the worst end of the spectrum, 80% of the COVID deaths in the UK in December 2021 were in fully vaccinated people.

This uptick in covid-19 cases and deaths comes even after the CDC ordered laboratories to use PCR tests with lower cycle thresholds for people who are vaccinated. The CDC even called on laboratories to stop reporting covid-19 cases in the vaccinated. But covid-19 testing programs continued, regardless, and covid-19 began to describe various mild to severe illnesses in both the vaccinated and unvaccinated, with different variants cropping up in the population.

With their mandates and false narratives, governments routinely violate the Nuremberg code, causing DEMOCIDE

Even though there is enough vaccine coverage for herd immunity to be realized, (if the vaccines neutralized the threat), “fully vaccinated” and “boosted” people continue to suffer from enhanced respiratory disease, cardiovascular issues, and other vaccine injuries. In the US, covid-19 vaccines are associated with a 38% increase in cases (per million) and a 31% increase in deaths associated with covid-19 (per million). Governments have forced a false vaccine narrative onto the population, repeatedly violating the Nuremberg Code and forcing democide onto families across the country.

As this medical experiment continues to fail, totalitarian governments continue to use mandates and threats to punish the very people who refuse to accept LIES, coercion, immune depletion, cardiovascular injury and potential DEATH. Instead of forcing a pharmaceutical narrative onto the public, policy makers must look objectively at the cold hard data and warn the public about the disastrous effects of the first three rounds of the covid-19 vaccine experiment.”

https://vector-news.github.io/editorials/CausalAnalysisReport_html.html

“Worldwide Bayesian Causal Impact Analysis of Vaccine Administration on Deaths and Cases Associated with COVID-19: A BigData Analysis of 145 Countries

2021-11-15

Abstract

Policy makers and mainstream news anchors have promised the public that the COVID-19 vaccine rollout worldwide would reduce symptoms, and thereby cases and deaths associated with COVID-19. While this vaccine rollout is still in progress, there is a large amount of public data available that permits an analysis of the effect of the vaccine rollout on COVID-19 related cases and deaths. Has this public policy treatment produced the desired effect?

One manner to respond to this question can begin by implementing a Bayesian causal analysis comparing both pre- and post-treatment periods. This study analyzed publicly available COVID-19 data from OWID (Hannah Ritchie and Roser 2020Hannah Ritchie, Lucas Rodés-Guirao, Edouard Mathieu, and Max Roser. 2020. “Coronavirus Pandemic (COVID-19).” Our World in Data.) utlizing the R package CausalImpact (Brodersen et al. 2015Brodersen, Kay H., Fabian Gallusser, Jim Koehler, Nicolas Remy, and Steven L. Scott. 2015. “Inferring Causal Impact Using Bayesian Structural Time-Series Models.” Annals of Applied Statistics 9: 247–74. https://doi.org/10.1214/14-aoas788.) to determine the causal effect of the administration of vaccines on two dependent variables that have been measured cumulatively throughout the pandemic: total deaths per million (y1y1) and total cases per million (y2y2). After eliminating all results from countries with p > 0.05, there were 128 countries for y1y1 and 103 countries for y2y2 to analyze in this fashion, comprising 145 unique countries in total (avg. p < 0.004).

Results indicate that the treatment (vaccine administration) has a strong and statistically significant propensity to causally increase the values in either y1y1 or y2y2 over and above what would have been expected with no treatment. y1y1 showed an increase/decrease ratio of (+115/-13), which means 89.84% of statistically significant countries showed an increase in total deaths per million associated with COVID-19 due directly to the causal impact of treatment initiation. y2y2 showed an increase/decrease ratio of (+105/-16) which means 86.78% of statistically significant countries showed an increase in total cases per million of COVID-19 due directly to the causal impact of treatment initiation. Causal impacts of the treatment on y1y1 ranges from -19% to +19015% with an average causal impact of +463.13%. Causal impacts of the treatment on y2y2 ranges from -46% to +12240% with an average causal impact of +260.88%. Hypothesis 1 Null can be rejected for a large majority of countries.

This study subsequently performed correlational analyses on the causal impact results, whose effect variables can be represented as y1.Ey1.E and y2.Ey2.E respectively, with the independent numeric variables of: days elapsed since vaccine rollout began (n1n1), total vaccination doses per hundred (n2n2), total vaccine brands/types in use (n3n3) and the independent categorical variables continent (c1c1), country (c2c2), vaccine variety (c3c3). All categorical variables showed statistically significant (avg. p: < 0.001) postive Wilcoxon signed rank values (y1.Ey1.E VV:[c1c1 3.04; c2c2: 8.35; c3c3: 7.22] and y2.Ey2.E VV:[c1c1 3.04; c2c2: 8.33; c3c3: 7.19]). This demonstrates that the distribution of y1.Ey1.E and y2.Ey2.E was non-uniform among categories. The Spearman correlation between n2n2 and y2.Ey2.E was the only numerical variable that showed statistically significant results (y2.Ey2.E ~ n2n2: ρρ: 0.34 CI95%[0.14, 0.51], p: 4.91e-04). This low positive correlation signifies that countries with higher vaccination rates do not have lower values for y2.Ey2.E, slightly the opposite in fact. Still, the specifics of the reasons behind these differences between countries, continents, and vaccine types is inconclusive and should be studied further as more data become available. Hypothesis 2 Null can be rejected for c1c1, c2c2, c3c3 and n2n2 and cannot be rejected for n1n1, and n3n3.

The statistically significant and overwhelmingly positive causal impact after vaccine deployment on the dependent variables total deaths and total cases per million should be highly worrisome for policy makers. They indicate a marked increase in both COVID-19 related cases and death due directly to a vaccine deployment that was originally sold to the public as the “key to gain back our freedoms.” The effect of vaccines on total cases per million and its low positive association with total vaccinations per hundred signifies a limited impact of vaccines on lowering COVID-19 associated cases. These results should encourage local policy makers to make policy decisions based on data, not narrative, and based on local conditions, not global or national mandates. These results should also encourage policy makers to begin looking for other avenues out of the pandemic aside from mass vaccination campaigns.

Some variables that could be included in future analyses might include vaccine lot by country, the degree of prevalence of previous antibodies against SARS-CoV or SARS-CoV-2 in the population before vaccine administration begins, and the Causal Impact of ivermectin on the same variables used in this study.”