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The speaker discusses their involvement in building a vaccine payment system in New Zealand. They noticed discrepancies in the data, specifically a high number of deaths occurring shortly after vaccination. They provide charts showing the top ten batches with high mortality rates, all of which are Pfizer. They also mention the top ten vaccinators with the highest mortality ratios. The speaker questions why these deaths are happening and suggests that the vaccine should be protecting people. They also highlight spikes in deaths during flu seasons and the COVID-19 pandemic. The speaker concludes that the death rate in New Zealand has increased even after COVID-19, as shown by ongoing black lines on the chart.

The speaker analyzed the top 10 batches with high death counts and mortality rates. They found that all batches were from Pfizer and had varying mortality rates. The speaker mentioned that the expected mortality rate is 0.75, but these batches had much higher rates. They clarified that the batches included people of all ages and were not specific to any age group. The speaker highlighted batch number 1 with a 21% mortality rate and batch number 71 with a 4% rate. They concluded that the chances of these batches not being a killer are extremely low, with a statistician explaining that it would require dropping 100 billion people to obtain these statistics.

Some batches of the vaccine may have serious side effects or be degraded. The batch number can be checked to see what to expect. Documentation shows that certain batches have more serious adverse effects. Even the best batches from Pfizer and Moderna had a high rate of serious adverse events in the short term, around 1800.

The presentation examines the pattern of deployment of toxic vaccine batches using the VAERS dataset. It notes that the Covid vaccine was deployed in batches or lots, each with a number, and the batches are listed in VAERS in the order they were created, with adverse reactions recorded for each batch. A graph was produced with adverse reactions on the vertical axis and the sequence of batches in time on the horizontal axis, showing patterns of deployment in 2021. Each dot represents a batch, and the speaker highlights that about 95% of batches lie close to the x-axis, forming a thick line, with 80% of all batches generating only one or two adverse reaction reports and thus considered harmless. In contrast, the “clouds” and spikes above the x-axis represent toxic batches, with all such dots categorized as toxic. The breakdown given is: - 5% of all batches belong to these clouds and spikes. - The truly toxic batches generate 1,000 to 5,000 adverse reaction reports and are found above a red line, causing harm across every state in the USA where deployed. - These very toxic batches comprise about 0.65% of all batches (roughly one in 200). Total batches deployed in 2021 and recorded in VAERS: 28,330. Eighty percent are harmless (1–2 reports) within the x-axis line; the remaining 20% are more toxic, with the most extreme range up to 5,000 reports. Lesson two asks: “Who did it?” It identifies three companies appearing in VAERS: Moderna, Pfizer, and Janssen (Johnson & Johnson). By filtering VAERS data in Excel, the speaker presents the contributions of each company to the toxic-batch deployment. In the full picture, Moderna accounts for every batch in the first half of the chart except two spikes pre- and post- Moderna, which are attributed to Janssen. Pfizer’s results (from their batches) match the latter half of the chart exactly, suggesting Pfizer appeared to have taken over supply for every USA batch in the latter portion. The deployment is described as carefully compartmentalized, with phases where Janssen, then Moderna, then Janssen again, and then Pfizer dominate in sequence, followed by Moderna exiting and Pfizer continuing. Lesson three describes the purpose behind Moderna’s deployment of toxic batches: Moderna appears to randomly distribute toxic batches, with the intention of harm, possibly to induce fear of a pandemic and justify stronger policies. Janssen’s initial spike is interpreted as a test before Moderna’s deployment. Pfizer is described as carrying out rigorous dosage testing, deploying the most lethal batches systematically and recording effects, and acting as the only company administering batches at that stage to avoid interference from others. Lesson four details the fine art of lethal dosage testing. Pfizer’s deployment is shown as highly clustered in time, forming distinct periods of toxic batches separated by intervals of harmless batches. Toxic batches cluster in discrete ranges (e.g., 3,000–2,500; 2,000–1,500; 1,500–1,000), with abrupt transitions between clusters and harmless periods. Toxicity ranges are not random but follow a stepwise, linear decline across clusters. The speaker concludes that Pfizer deployed highly toxic batches for discrete dosage testing across all states, implying thousands of hospitalizations, injuries, and deaths. The presentation ends by contrasting that 80% of batches are harmless, while a minority exhibit wide toxicity ranges, with claims of systematic, non-random deployment designed for testing, and notes an ironic statement about American exposure to what is described as German-led testing.

The speaker discusses their involvement in building a vaccine payment system in New Zealand. They noticed discrepancies in the data, specifically a high number of deaths occurring shortly after vaccination. They provide information on the top ten batches with high mortality rates and mention a website where people can find their batch information. The speaker also highlights the high mortality rates among certain vaccinators. They question the reasons behind these deaths and emphasize that vaccines are meant to protect individuals. The speaker presents a chart showing spikes in deaths during flu seasons and a significant increase in deaths in 2021, even after COVID cases decreased. They conclude that the death rate in New Zealand has been increasing.

The speaker discusses their involvement in building a vaccine payment system in New Zealand. They noticed discrepancies in the data, specifically a high number of deaths occurring shortly after vaccination. They analyzed the top 10 batches with the highest death count and found alarming mortality rates. They also identified vaccinators with high mortality ratios. The speaker emphasizes that this data is based on government records and raises concerns about the substances being injected. They highlight the unusual increase in deaths even after the COVID-19 pandemic and question the effectiveness of the vaccine.

The speaker discusses their involvement in building a vaccine payment system in New Zealand. They noticed discrepancies in the data, specifically deaths occurring shortly after vaccination. They analyzed the top ten batches with high death counts and found that Pfizer's batch number 1 had a 21% death rate. They also examined the vaccinators and discovered that some had higher mortality rates than others. The speaker questions what is being injected into people's bodies and highlights the increase in deaths in New Zealand, even after COVID. They emphasize that these findings are based on government data and raise concerns about the vaccine's effectiveness.

There are four studies indicating significant lot variability in certain batches. Early 2021 batches appeared to be the most dangerous. Some lots are linked to large numbers of adverse events, while others have almost none, essentially being "duds," possibly due to degraded mRNA or manufacturing issues. Some batches decimated people and may be contaminated with high levels of DNA plasmids, mRNA, or even heavy metals. No batch appeared to be the same.

I built and implemented a vaccine payment system called pay per dose. While analyzing the data, I noticed discrepancies in the death dates of people who were vaccinated. As the only database administrator for this system in New Zealand, I have access to unique information. I created a chart displaying the top ten batches with high mortality rates. There are a total of 119 batches in New Zealand, mostly Pfizer. To find specific batch information, there is a website called "Find My Batch." I counted the number of vaccinated individuals and identified the deceased within each batch.

The speaker discusses the alarming findings of a study on vaccine injuries, highlighting red flags in the data. They mention white blood clots found in deceased patients and question the safety of COVID vaccines. The speaker emphasizes the importance of fact-checking and following the money in the pharmaceutical industry. They urge viewers to prioritize truth over profit and advocate for open scientific debate.

Willem Engel, a pharmaceutical scientist and human rights activist, discusses the concerns and safety issues surrounding COVID vaccines. He criticizes the spread of misinformation by governments and the lack of accurate registration of vaccine risks. He questions the validity of informed consent when crucial information is not shared with the public. Another speaker highlights the patterns of adverse reactions in different vaccine batches, suggesting that informed consent was impossible due to the unknown risks associated with each batch. The statistician presents data showing three distinct patterns of adverse reactions in different vaccine batches, indicating a concerning safety signal. The speakers call for the withdrawal of vaccine marketing authorizations and accountability for the alleged mishandling of the vaccination campaign.

The speaker analyzed the top 10 batches with high death counts and mortality rates. They found that all of these batches were from Pfizer. The mortality rates ranged from 21% to 4%. The speaker explained that these batches included people from all age groups and vaccination centers, so it wasn't specific to one age group. They mentioned that the chances of these results occurring naturally by chance are extremely low, indicating that the vaccine may be causing deaths. They estimated that to obtain these statistics, they would have had to vaccinate 100 billion people, while they currently have data for 2.2 million individuals.

The speaker analyzed the top 10 batches with high death counts and mortality rates. They found that all of these batches were from Pfizer. The mortality rates ranged from 21% to 4%. The speaker explained that these batches included people from all age groups and vaccination centers, so it wasn't specific to one age group. They stated that the chances of these results occurring naturally by chance are extremely low, suggesting that the vaccine may be causing deaths. They estimated that to obtain these statistics, they would have had to vaccinate 100 billion people, while they have only vaccinated 2.2 million.

The speaker analyzed the top 10 batches with high death counts and mortality rates. They found that all batches were from Pfizer and had varying mortality rates. The speaker mentioned that the normal mortality rate is 0.75%, while the batches ranged from 4% to 21%. They clarified that the batches included all age groups and were not specific to one age group. The speaker highlighted that the chances of these batches not being a killer were extremely low, with odds of 100 billion to 1. They emphasized that statistically, there is no chance that the vaccine is not causing deaths.

The speaker discusses a paper from Denmark that reveals a significant variation in suspected adverse reactions to the Pfizer vaccine. The data shows a 1,000-fold difference in incidence depending on the batch of vaccines administered. This information is currently gaining popularity.

I'm Philippe Boucalt, a cancer genomics researcher at the University of South Carolina. I've sequenced the DNA in the Pfizer vaccine and found that it contains fragments of DNA. This DNA could potentially cause rare but serious side effects, such as cardiac arrest and future cancer risks. The regulatory process that allowed this contamination is concerning. The DNA could integrate into long-lived somatic cells and potentially cause autoimmune attacks or disrupt tumor suppressors. To produce the vaccine, they cloned the PCR product into a plasmid vector, which led to the contamination. We can easily measure the amount of this substance in the vaccine and should conduct further studies to understand its implications. The FDA should require Pfizer to remove the DNA from the vaccine.

Four studies are cited as showing significant lot variability in the vaccine batches. The speaker notes that the variability is substantial across lots, with some batches from the early 2021 period appearing to be the most dangerous. They state that some lots are linked to large numbers of adverse events, while other lots are linked to no adverse events at all, describing these as “duds.” According to the speaker, these problematic batches may result from several issues: the mRNA being degraded, or the cold-chain failure such as being left out of the refrigerator for too long, or problems in the manufacturing process that rendered the batch ineffective. The implication is that these dud batches were not manufactured properly. The speaker emphasizes that some of these batches had devastating effects on individuals. They further claim that these batches were probably contaminated with high levels of DNA plasmids from the manufacturing process, extremely high levels of mRNA, and even heavy metal contamination. The range of issues is described as broad, indicating multiple types of contamination or quality problems in different batches. The overall assertion is that not a single batch appears to be the same as another; there is clear heterogeneity across batches, with some batches causing major adverse events and others causing none.

I am one of the scientists involved in a study on the safety and dependency of vaccine batches. We found three types of side effects: mild, severe, and even death. These adverse effects were present in the initial batches, which may have been changed during production or transportation. Patients were not informed of the risks and some received poor-quality batches. The Vice President of Pfizer admitted to building the plane while flying, and we have shown that one wing has fallen off. There is a safety issue that the European Medicines Agency (EMA) and national institutions should have addressed and informed the public about. Our study also suggests a potential link between certain cancers and different vaccine batches. We have observed increased mortality rates in European countries since May 21st. The EMA should have reacted to these findings and halted vaccinations or at least withdrawn the problematic batches. As a concerned citizen and doctor, I expected more action from the EMA. Thank you.

There are four studies that show lot variability, significant lot variability. The early twenty twenty one batches were actually the most dangerous it appeared. Some lots are linked to large numbers of adverse events, while some lots are linked to no adverse events really at all. And they're basically batches called duds. Right? Probably the mRNA is degraded or it's been left out of the refrigerator for too long or the manufacturing process was a bust and it wasn't manufactured properly. Thankfully right for those individuals. But, yeah, some of these batches, they just decimated people and they're probably contaminated with high levels of DNA plasmids from a manufacturing process, extremely high levels of mRNA, even heavy metal contamination has been detected in these batches. So all sorts of things. But, yeah, really no batch appeared to be the same.

I am one of the scientists involved in a study on the safety and dependency of vaccine batches. We found three types of side effects: mild, severe, and even death. These adverse effects were present in the initial batches, which were later changed, possibly due to Pfizer altering the product or during transportation. Patients were not informed of the risks and some received poor-quality batches. The study also reveals a safety issue that both Pfizer and regulatory institutions should have addressed. Pfizer had already informed the European Medicines Agency (EMA) about the safety problem in August 2021. Our data from Sweden indicates that this is a European issue, not just a Danish one. We are concerned about long-term side effects and their potential links to cancer and increased mortality rates. The EMA should have taken action based on the data and informed the public. The vice-president of Pfizer's statement about building the plane while flying is apt, as we have shown that one wing has fallen off.

The speaker discusses their involvement in building a vaccine payment system in New Zealand. They noticed discrepancies in the data, specifically a high number of deaths occurring shortly after vaccination. They provide charts showing the top ten batches with high mortality rates and mention a website called "Find My Batch" where people can find information about their specific batch. The speaker also highlights the high mortality rates among certain vaccinators. They question the reasons behind these deaths and express concern about the vaccine's effectiveness. They mention spikes in deaths during flu seasons and the COVID-19 pandemic, but note that the death rate in New Zealand has continued to increase even after COVID-19.

The speaker discusses their involvement in building a vaccine payment system in New Zealand. They noticed discrepancies in the data, specifically a high number of deaths occurring shortly after vaccination. They provide charts showing the top ten batches with high mortality rates and mention a website called "Find My Batch" where people can find information about their specific batch. The speaker also highlights the high mortality rates among certain vaccinators. They mention various spikes in deaths over the years, including the COVID-19 pandemic, but note that the death rate has continued to increase even after COVID-19.

Willem Engel, a human rights activist, and other speakers discuss the safety issues and lack of informed consent surrounding COVID vaccines. They highlight the problem of adverse events not being properly registered within the first 14 days after vaccination, leading to a false sense of security. They also raise concerns about the classification of mRNA injections as vaccines and the potential long-term side effects. The speakers present data showing different patterns of adverse reactions in different vaccine batches, indicating a lack of consistency and informed consent. They criticize the European Medicines Agency (EMA) for not taking appropriate action and call for the withdrawal of market authorizations.

The speaker analyzed the top 10 batches with high death counts and mortality rates. They found that all of these batches were from Pfizer. Batch number 1 had 711 vaccinated and 152 deaths, resulting in a 21% mortality rate. The expected mortality rate is 0.75%. These batches included all age groups, not specific to one age group. Other batches in the top 10 had mortality rates of 17%, 15%, and 4%. The speaker concludes that the chances of these batches not being a killer are extremely low, with odds of $100,000,000,000 to 1.

These batches are different. So yep. So so many people, nobody even really got the same product. The quality control was so bad. Some people got a tiny dose of the mRNA. Some people got a massive dose depending on the batch. And you can check your batch at howbadismybatch.com, which uses the Vaccine Adverse Events Reporting System, and it'll tell you how many people died from this batch, how many reports of blood clots were there from my batch? So that's an important tool you can use to see, what the possible risks you you you might face, regarding your injection.