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Look what they did to our antibodies

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Our immune systems are supposed to fight viruses. Now they invite them round for tea. It’s all down to IgG4

Have you heard about the IgG4 antibody switch? It’s been glossed over in official discussions about Covid-19 ‘vaccines’, but it’s the elephant in the room. Let’s break it down and explore why this may matter more than we’re being told.

The antibody switch: what’s the big deal?

Our immune system is like a well-trained army, with different types of antibodies serving as its soldiers. Among them, IgG antibodies are the frontline warriors, designed to neutralize viruses and protect us from infections. But here’s the catch: not all IgG antibodies are created equal. Think of IgG4 antibodies as the peacekeepers of the immune system. They’re not fighters like the other IgG subclasses—they’re more about tolerance, calming things down. They’re certainly not about launching an attack.

Now, here’s where it gets interesting (and worrying).

Studies have shown that repeated Covid-19 mRNA injections—especially after the second dose or booster—cause the body to switch from producing the more effective IgG3 antibodies to producing IgG4. Essentially, the immune system is shifting toward tolerance rather than attack.

Sounds harmless, right? Well, not so fast. Here’s a look at what this shift might mean:

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1. More Covid-19 infections

Imagine your immune system being rewired to tolerate the virus instead of fighting it. That’s essentially what the IgG4 switch could entail. A study from the Cleveland Clinic found a troubling trend: the more Covid-19 vaccine doses a person received, the higher their risk of getting infected. This isn’t what we were promised with “safe and effective,” is it? The IgG4 antibodies might be making the body less effective at dealing with the virus, leaving vaccinated individuals more susceptible to reinfections.

2. The potential for worse outcomes

IgG4 antibodies are great if you’re dealing with allergies, as they help the body tolerate allergens. But when it comes to fighting a virus like SARS-CoV-2, this tolerance could backfire. Instead of neutralizing the virus, the immune system might let it hang around longer, potentially leading to more severe disease outcomes. It’s like inviting a burglar into your house and offering them tea instead of calling the police.

3. The risk of other conditions

This shift to IgG4 isn’t just about Covid-19. It could open the door to other IgG4-related diseases (known as IgG4-RD). These are a group of conditions where the immune system starts attacking various organs, causing inflammation and fibrosis (thickening or scarring of tissues). Examples include autoimmune pancreatitis, kidney disease, and even conditions affecting the lungs or brain. There have been reports of individuals developing these conditions after receiving the mRNA vaccines. Coincidence? Maybe. But it’s enough to warrant serious investigation.

Pathologies associated with elevated IgG4 levels and IgG4-related diseases

Below is a list of IgG4-related diseases (IgG4-RD) and other pathologies associated with elevated IgG4 levels that could also be related to IgG4 rising after mRNA injections:

  1. Type 1 Autoimmune Pancreatitis (AIP): Chronic inflammation of the pancreas, often presenting with abdominal pain, jaundice, or weight loss. It is one of the most common manifestations of IgG4-RD.
  2. Sialadenitis (Mikulicz’s Disease): Enlargement of the salivary and lacrimal glands, leading to dry mouth and eyes. This is a classic presentation of IgG4-RD in the head and neck region (Stone et al., 2012).
  3. Retroperitoneal Fibrosis: Thickening and fibrosis of the tissue behind the peritoneum, which can lead to ureteral obstruction and kidney damage (Stone et al., 2012).
  4. Riedel’s Thyroiditis: A rare form of thyroiditis involving fibrosis of the thyroid gland. It can present as a hard, fixed thyroid mass that mimics malignancy (Stone et al., 2012).
  5. Küttner’s Tumor (Chronic Sclerosing Sialadenitis): Affects the submandibular glands, causing enlargement and fibrosis, often mistaken for a tumor (Stone et al., 2012).
  6. IgG4-Related Sclerosing Cholangitis: Involves the bile ducts, often associated with autoimmune pancreatitis. Can lead to jaundice and bile duct obstruction (Stone et al., 2012).
  7. IgG4-Related Ophthalmic Disease: Involves orbital inflammation and can cause proptosis (bulging eyes), double vision, or orbital masses (Stone et al., 2012; Uchida et al., 2022).
  8. IgG4-Related Aortitis and Periaortitis: Inflammation of the aorta and surrounding tissues, which may lead to aneurysms or vascular complications (Stone et al., 2012).
  9. IgG4-Related Kidney Disease: Includes tubulointerstitial nephritis and other renal manifestations, leading to kidney dysfunction or masses (Stone et al., 2012; Uchida et al., 2022).
  10. IgG4-Related Lung Disease: Pulmonary involvement, presenting with inflammatory pseudotumors, interstitial pneumonia, or pleural thickening (Stone et al., 2012).
  11. IgG4-Related Lymphadenopathy: Enlargement of lymph nodes that may mimic lymphoma (Stone et al., 2012).
  12. IgG4-Related Skin Disease: While less common, presents as various cutaneous lesions, including plaques or nodules (Stone et al., 2012).
  13. IgG4-Related Prostatitis: Enlargement of the prostate, causing lower urinary tract symptoms (Stone et al., 2012).
  14. IgG4-Related Hypophysitis: Involves inflammation of the pituitary gland, leading to hormonal imbalances such as adrenal insufficiency or diabetes insipidus (Stone et al., 2012).
  15. IgG4-Related Pachymeningitis: Inflammation of the dura mater (the outer membrane covering the brain and spinal cord), leading to headaches, cranial nerve palsies, or other neurological symptoms (Stone et al., 2012).

That’s not all. There are potentially broader implications of elevated IgG4 levels that we must consider:

  1. Repeated infections. Elevated IgG4 levels may impair the immune system’s ability to clear infections, as IgG4 is less effective at neutralizing pathogens (Aalberse, 2009; Irrgang, 2021).
  2. Autoimmune diseases. Elevated IgG4 levels may contribute to autoimmune processes, where the immune system attacks its own tissues (Watad, 2021).
  3. Cancer risks. Chronic inflammation caused by IgG4-related conditions may increase the risk of certain malignancies. While not directly caused by IgG4, this link warrants further research (Uchida, 2022).
  4. Idiopathic Interstitial Lung Disease. Chronic inflammation and fibrosis in the lungs may lead to respiratory symptoms, further complicating the clinical picture (Stone, 2012).
  5. Systemic Vasculitis. Inflammation of blood vessels associated with IgG4-RD can cause systemic complications and end-organ damage (Stone, 2012).

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Why isn’t this being talked about?

Good question. The IgG4 switch is a complex phenomenon, and scientists are still trying to figure out its full implications. However, one thing is clear: this isn’t a simple black-and-white issue as the long-term effects of repeated mRNA shots are only now coming into focus.

Health agencies like the CDC and WHO argue that the benefits of vaccination outweigh the risks. But should we ignore potential red flags, especially when they involve changes to our immune system long term? Especially in populations that had virtually no risk from Covid-19 (i.e. children)? Absolutely not.

The science isn’t settled – but nor is this speculation

Elevated IgG4 levels are documented. Multiple studies confirm that repeated mRNA injections lead to a significant increase in IgG4 antibodies (Irrgang et al., 2021). This isn’t speculation—it’s a fact.

Case reports suggest a link. Individuals have developed IgG4-related diseases shortly after getting injected (Uchida et al., 2022). While these cases are rare, as not many practitioners have linked the Covid 19 gene therapy to a certain pathology, they highlight a potential connection that needs further investigation.

The immune response Is complex. The IgG4 switch might be the immune system’s way of adapting to repeated exposure to the spike protein in the vaccines. But this adaptation could come with unintended consequences, including reduced vaccine efficacy and heightened risk of certain diseases. And the most important question is the duration of this fact which we will only know in a decade.

More studies are needed. The science is evolving, and more research is needed to fully understand the implications of this antibody switch. For now, it’s clear that this isn’t a one-size-fits-all situation.

What can we do?

As individuals, the best thing we can do is stay informed. Ask questions if asked to be vaccinated: demand transparency, and weigh the risks and benefits of any medical intervention.

If you yourself have been affected by any of the pathologies above, even months or years after the Covid injections, ask your healthcare providers to assess a potential association. You can test for Covid antibodies (when over 1000 BAU, it is reasonable to assume that you are still producing spike proteins after the injections). You can also get tested for IgG4s (for Covid and generally), for spike proteins (in serum, immune cells, exosomes, body fluids) or for mRNA (in serum, exosomes or any body fluid).

For policymakers and health agencies, it’s crucial to continue monitoring these injections’ long-term effects and be honest about potential risks. Ignoring the elephant in the room won’t make it go away.

Final thoughts

The IgG4 switch is an alarming consequence of repeated Covid-19 mRNA vaccinations. The evidence so far suggests that this phenomenon could have significant implications for immunity, vaccine efficacy, and long-term health. It’s time to have an open, honest conversation about those ‘trade-offs’—and to keep the spotlight on the elephant in the room. This is certainly another red flag for the continuation of the Covid 19 gene therapy and adds to the calls for a moratorium of this technology. Especially considering further promotion of mRNA technologies in the US, Europe, and Russia, we urgently need independent scientists to gather at a roundtable with those pushing for even more use. The World Council for Health has repeatedly called for a moratorium on the technology. This is just the latest, essential piece we’re adding to the puzzle.

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References

Aalberse, R. C., Stapel, S. O., Schuurman, J., & Rispens, T. (2009). Immunoglobulin G4: an odd antibody. Clinical & Experimental Allergy, 39(4), 469-477. https://doi.org/10.1111/j.1365-2222.2009.03207.x

Bergamaschi, C., Terpos, E., Rosati, M., Angel, M., Bear, J., Stellas, D., … & Felber, B. K. (2021). Systemic IL-15, IFN-γ, and IP-10/CXCL10 signature associated with effective immune response to SARS-CoV-2 in BNT162b2 mRNA vaccine recipients. Cell Reports, 36(6), 109504. https://doi.org/10.1016/j.celrep.2021.109504

Uchida, K., Ito, S., Nakamura, Y., Hoshino, Y., Abe, Y., Ito, T., … & Okazaki, K. (2022). IgG4-related disease after BNT162b2 COVID-19 mRNA vaccination: A case report. Vaccine, 40(22), 3079-3082. https://doi.org/10.1016/j.vaccine.2022.04.073

Irrgang, P., Gerling, J., Kocher, K., Lapuente, D., Steininger, P., Habenicht, K., … & Überla, K. (2021). Class switch towards non-inflammatory, spike-specific IgG4 antibodies after repeated SARS-CoV-2 mRNA vaccination. medRxiv. https://doi.org/10.1101/2022.12.22.22283726

Kang, C. K., Kim, M., Lee, S., Kim, G., Choe, P. G., Park, W. B., … & Oh, M. D. (2022). Longitudinal analysis of SARS-CoV-2 specific antibody responses after COVID-19 vaccination. Journal of Korean Medical Science, 37(4), e35. https://doi.org/10.3346/jkms.2022.37.e35

Lozano-Ojalvo, D., Camara, C., Lopez-Granados, E., Nozal, P., Del Pino-Molina, L., Bravo-Gallego, L. Y., … & Paz-Artal, E. (2021). Differential effects of the second SARS-CoV-2 mRNA vaccine dose on T cell immunity in naive and COVID-19 recovered individuals. Cell Reports, 36(8), 109570. https://doi.org/10.1016/j.celrep.2021.109570

Perugino, C. A., AlSalem, S. B., Mattoo, H., Della-Torre, E., Mahajan, V., Ganesh, G., … & Stone, J. H. (2021). Identification of galectin-3 as an autoantigen in patients with IgG4-related disease. Journal of Allergy and Clinical Immunology, 147(2), 736-745. https://doi.org/10.1016/j.jaci.2020.09.037

Stone, J. H., Zen, Y., & Deshpande, V. (2012). IgG4-related disease. New England Journal of Medicine, 366(6), 539-551. https://doi.org/10.1056/NEJMra1104650

World Health Organization (WHO). (2023). COVID-19 vaccines: safety surveillance manual.

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Alberta

Alberta announces citizens will have to pay for their COVID shots

Published on

From LifeSite News

By Anthony Murdoch

The government said that it has decided to stop ‘waste’ by not making the shots free starting this fall.

Beginning this fall, COVID shots in the province will have to be pre-ordered at the full price, about $110, to receive them.  (This will roll out in four ‘phases’. In the first phases COVID shots will still be free for those with pre-existing medical conditions, people on social programs, and seniors.)

The UCP government in a press release late last week noted due to new “federal COVID-19 vaccine procurement” rules, which place provinces and territories as being responsible for purchasing the jabs for residents, it has decided to stop “waste” by not making the jab free anymore.

“Now that Alberta’s government is responsible for procuring vaccines, it’s important to better determine how many vaccines are needed to support efforts to minimize waste and control costs,” the government stated.

“This new approach will ensure Alberta’s government is able to better determine its overall COVID-19 vaccine needs in the coming years, preventing significant waste.”

The New Democratic Party (NDP) took issue with the move to stop giving out the COVID shots for free, claiming it was “cruel” and would place a “financial burden” on people wanting the shots.

NDP health critic Sarah Hoffman claimed the move by the UCP is health “privatization” and the government should promote the abortion-tainted shots instead.

The UCP said that in 2023-2024, about 54 percent of the COVID shots were wasted, with Health Minister Adriana LaGrange saying, “In previous years, we’ve seen significant vaccine wastage.”

“By shifting to a targeted approach and introducing pre-ordering, we aim to better align supply with demand – ensuring we remain fiscally responsible while continuing to protect those at highest risk,” she said.

The jabs will only be available through public health clinics, with pharmacies no longer giving them out.

The UCP also noted that is change in policy comes as a result of the Federal Drug Administration in the United States recommending the jabs be stopped for young children and pregnant women.

The opposite happened in Canada, with the nation’s National Advisory Committee on Immunization (NACI) continuing to say that pregnant women should still regularly get COVID shots as part of their regular vaccine schedule.

The change in COVID jab policy is no surprise given Smith’s opposition to mandatory shots.

As reported by LifeSiteNews, early this year, Smith’s UCP government said it would consider halting COVID vaccines for healthy children.

Smith’s reasoning was in response to the Alberta COVID-19 Pandemic Data Review Task Force’s “COVID Pandemic Response” 269-page final report. The report was commissioned by Smith last year, giving the task force a sweeping mandate to investigate her predecessor’s COVID-era mandates and policies.

The task force’s final report recommended halting “the use of COVID-19 vaccines without full disclosure of their potential risks” as well as outright ending their use “for healthy children and teenagers as other jurisdictions have done,” mentioning countries like “Denmark, Sweden, Norway, Finland, and the U.K.”

The mRNA shots have also been linked to a multitude of negative and often severe side effects in children and all have connections to cell lines derived from aborted babies.

Many Canadian doctors who spoke out against COVID mandates and the experimental mRNA injections were censured by their medical boards.

LifeSiteNews has published an extensive amount of research on the dangers of the experimental COVID mRNA jabs that include heart damage and blood clots.

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International

Pentagon agency to simulate lockdowns, mass vaccinations, public compliance messaging

Published on

From LifeSiteNews

By Tim Hinchliffe

With lockdowns, mass vaccination campaigns, and social distancing still on the table from the last around, it appears that AI and Machine Learning will play a much bigger role in the next.

DARPA is getting into the business of simulating disease outbreaks, including modeling interventions such as mass vaccination campaigns, lockdowns, and communication strategies.

At the end of May, the U.S. Defense Advanced Research Projects Agency (DARPA) put out a Request for Information (RFI) seeking information regarding “state-of-the-art capabilities in the simulation of disease outbreaks.”

The Pentagon’s research and development funding arm wants to hear from academic, industry, commercial, and startup communities on how to develop “advanced capabilities that drive technical innovation and identify critical gaps in bio-surveillance, diagnostics, and medical countermeasures” in order to “improve preparedness for future public health emergencies.”

As if masks, social distancing, lockdowns, and vaccination mandates under the unscientific guise of slowing the spread and preventing the transmission of COVID weren’t harmful enough, the U.S. military wants to model the effects of these exact same countermeasures for future outbreaks.

The RFI also asks participants “Fatality Rate & Immune Status: How are fatality rates and varying levels of population immunity (natural or vaccine-induced) incorporated into your simulations?“

Does “natural or vaccine-induced” relate to “population immunity” or “fatality rates” or both?

Moving on, the RFI gets into modeling lockdowns, social distancing, and mass vaccination campaigns, along with communication strategies:

Intervention Strategies: Detail the range of intervention strategies that can be modeled, including (but not limited to) vaccination campaigns, social distancing measures, quarantine protocols, treatments, and public health communication strategies. Specifically, describe the ability to model early intervention and its impact on outbreak trajectory.

The fact that DARPA wants to model these so-called intervention strategies just after the entire world experienced them suggests that these exact same measures will most likely be used again in the future:

“We are committed to developing advanced modeling capabilities to optimize response strategies and inform the next generation of (bio)technology innovations to protect the population from biological threats. We are particularly focused on understanding the complex interplay of factors that drive outbreak spread and evaluating the effectiveness of potential interventions.” — DARPA, Advanced Disease Outbreak Simulation Capabilities RFI, May 2025.

“Identification of optimal timelines and capabilities to detect, identify, attribute, and respond to disease outbreaks, including but not limited to biosensor density deployment achieving optimal detection timelines, are of interest.” ­— DARPA, Advanced Disease Outbreak Simulation Capabilities RFI, May 2025.

With lockdowns, mass vaccination campaigns, and social distancing still on the table from the last around, it appears that AI and Machine Learning will play a much bigger role in the next.

For future innovation, the DARPA RFI asks applicants to: “Please describe any novel technical approaches – or applications of diverse technical fields (e.g., machine learning, artificial intelligence, complex systems theory, behavioral science) – that you believe would significantly enhance the state-of-the-art capabilities in this field or simulation of biological systems wholistically.”

Instead of putting a Dr. Fauci, a Dr. Birx, a replaceable CDC director, a TV doctor, a big pharma CEO, or a Cuomo brother out there to lie to your face about how they were all just following The ScienceTM, why not use AI and ML and combine them with behavioral sciences in order to concoct your “public health communications strategies?”

When you look at recently announced DARPA programs like Kallisti and MAGICS, which are aimed at creating an algorithmic Theory of Mind to model, predict, and influence collective human behavior, you start to get a sense of how all these programs can interweave:

“The MAGICS ARC calls for paradigm-shifting approaches for modeling complex, dynamic systems for predicting collective human behaviour.” — DARPA, MAGICS ARC, April 2025

On April 8, DARPA issued an Advanced Research Concepts (ARC) opportunity for a new program called “Methodological Advancements for Generalizable Insights into Complex Systems (MAGICS)” that seeks “new methods and paradigms for modeling collective human behavior.”

Nowhere in the MAGICS description does it mention modeling or predicting the behavior of “adversaries,” as is DARPA’s custom.

Instead, it talks at length about “modeling human systems,” along with anticipating, predicting, understanding, and forecasting “collective human behavior” and “complex social phenomena” derived from “sociotechnical data sets.”

Could DARPA’s MAGICS program be applied to simulating collective human behavior when it comes to the next public health emergency, be it real or perceived?

“The goal of an upcoming program will be to develop an algorithmic theory of mind to model adversaries’ situational awareness and predict future behaviour.” — DARPA, Theory of Mind Special Notice, December 2024.

In December 2024, DARPA launched a similar program called Theory of Mind, which was renamed Kallisti a month later.

The goal of Theory of Mind is to develop “new capabilities to enable national security decisionmakers to optimize strategies for deterring or incentivizing actions by adversaries,” according to a very brief special announcement.

DARPA never mentions who those “adversaries” are. In the case of a public health emergency, an adversary could be anyone who questions authoritative messaging.

The Theory of Mind program will also:

… seek to combine algorithms with human expertise to explore, in a modeling and simulation environment, potential courses of action in national security scenarios with far greater breadth and efficiency than is currently possible.

This would provide decisionmakers with more options for incentive frameworks while preventing unwanted escalation.

We are interested in a comprehensive overview of current and emerging technologies for disease outbreak simulation, how simulation approaches could be extended beyond standard modeling methods, and to understand how diseases spread within and between individuals including population level dynamics.

They say that all the modeling and simulating across programs is for “national security,” but that is a very broad term.

DARPA is in the business of research and development for national security purposes, so why is the Pentagon modeling disease outbreaks and intervention strategies while simultaneously looking to predict and manipulate collective human behavior?

If and when the next outbreak occurs, the same draconian and Orwellian measures that governments and corporations deployed in the name of combating COVID are still on the table.

And AI, Machine Learning, and the military will play an even bigger role than the last time around.

From analyzing wastewater to learning about disease spread; from developing pharmaceuticals to measuring the effects of lockdowns and vaccine passports, from modeling and predicting human behavior to coming up with messaging strategies to keep everyone in compliance – “improving preparedness for future public health emergencies” is becoming more militaristically algorithmic by the day.

“We are exploring innovative solutions to enhance our understanding of outbreak dynamics and to improve preparedness for future public health emergencies.” — DARPA, Advanced Disease Outbreak Simulation Capabilities RFI, May 2025.

Reprinted with permission from The Sociable.

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