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ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Injected vaccines are the worst mistake in medicine

Authors: Arumugham, Vinu;

Injected vaccines are the worst mistake in medicine

Abstract

Injected vaccines have a fundamental flaw. Over a century ago, Nobel Laureate Dr. CharlesRichet discovered this flaw when he tried to protect dogs against Actinia venom - a protein, byvaccinating them using the venom. He discovered that instead of protecting, the vaccine made itworse. He coined the term ANAPHYLAXIS specifically to describe the fact that vaccinesprovide the opposite of protection, the opposite of PROPHYLAXIS. THEY MAKE THEDISEASE WORSE. He taught us never to inject alien proteins into an organism. The immune system has evolved to handle exposure to numerous pathogens during the course ofhuman evolution. So healthy people do not need any vaccines. Vaccines are contaminated withthousands of food, viral, bacterial, fungal, aeroallergen, animal proteins, etc. So they not onlytrain the immune system to produce a dysregulated immune response to viruses and bacteria(sepsis/cytokine storms) but also to attack harmless food, aeroallergens and animal proteins. Thusthe explosion of allergies and asthma. Since animal proteins are similar to human proteins, theybreak immune tolerance. The immune system attacks your own tissues due to cross-reaction,resulting in autoimmune diseases. Atherosclerosis is a vaccine-induced autoimmune disease thusmaking vaccines the #1 killer.

Keywords

Vaccines ; infection ; immunity ; autism ; asthma ; autoimmunity ; allergies ; IgG4 IgE, Vaccines ; infection ; immunity ; autism ; asthma ; autoimmunity ; allergies ; IgG4 IgE

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green