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U.S. Health and Human Services (HHS) Secretary Robert F. Kennedy Jr. publicly warned that COVID-19 mRNA vaccines can spread throughout the body, reach “every organ,” and, in the case of upper respiratory illnesses like COVID-19 and influenza, may actually prolong pandemics rather than end them.

Speaking at the Alaska Native Tribal Health Consortium in Anchorage alongside local senators, Kennedy defended his department’s August 5 decision to halt most federally funded mRNA vaccine development for COVID and flu.

While he believes the technology could be useful in certain treatments such as cancer—though the platform is widely linked to cancer (see suggested articles below)—he made clear it is “not” appropriate for respiratory viruses.

Peer-reviewed studies and case reports have linked COVID-19 mRNA vaccination to cancer recurrence, stimulated tumor growth and metastasis via the mRNA ingredient N1-methyl-pseudouridine, excess cancer deaths following mass vaccination, and a “multi-hit” model suggesting repeated doses may accelerate cancer development. ...

“The mRNA vaccines don’t work against upper respiratory infections,” Kennedy said. “There are two problems with them. One is they target a single protein, which drives what’s called antigenic shift. It drives the virus to mutate, and it actually can prolong the pandemic.”

Kennedy also pointed to serious safety concerns stemming from how the shots travel in the body.

“The other issue is the way that it distributes in the body… there’s no control over it and no predictability,” he continued. “It goes to every organ. It turns your body into an antigen factory.”

Eighth Study Confirms mRNA Shots Increase Infection Risk

New study of 1,745 healthcare workers finds mRNA boosters raise risk of influenza-like illness by up to 70% and increase workdays lost by 50%.

A major Swiss study of 1,745 healthcare workers, published in Nature’s Communications Medicine, found that recent COVID-19 booster shots were linked to a significantly higher risk of illness and missed work compared to the unvaccinated.

Experts Puzzled By Why Haiti Has One of the Lowest COVID-19 Death Rates In the World Despite Administering Zero Vaccine Doses: ‘We Don’t Know’

By Niara Savage | Published on: May 11, 2021

... Dr. Jean “Bill” Pape, a top Haitian infectious disease expert, said the nation’s low death rate can’t be attributed to strict adherence to mask-wearing or social distancing guidelines.

“Most people don’t wear a mask,” he said.

By December, most restrictions had been lifted and buses and markets have been crowded in recent months. No one in Haiti has received a single dose of a coronavirus vaccine.

They could not afford to pay for the jabs, so they were just fine

Based on our data, we conclude that SARS-CoV-2 booster vaccination does not contribute to the protection of the healthcare workforce in a post-pandemic setting. SARS-CoV-2 vaccination may even temporarily increase the likelihood of symptomatic infection and workday loss.

Kennedy added:

“They think I’m being evasive because I won’t make a kind of a statement that’s almost religious in nature, ‘it saved a million lives.’ Well, there is no data to support that. There’s no study. There’s modeling studies. There’s faulty data.”

Sen. Ron Johnson (R-Wis.), who thanked Kennedy for “putting up with this abuse,” backed Kennedy’s statements on the dangers of the COVID-19 vaccines and said federal health agencies hid the early signals for myo and pericarditis.

Even more astonishing, following the meeting, the CDC itself tweeted a very critical comment from Dr. Malone, questioning how the drugmakers can even tell the shots work.

ACIP member Robert W. Malone, MD: "There is no established correlative
protection for COVID. Period. Full stop. And stop saying otherwise."

What Dr. Malone meant is that there is no agreed-upon measurement —like a specific antibody level— that reliably predicts whether a person “is protected” from covid, either in terms of bare infection or severe disease.

Absent “consensus” on even what proves protection exists, how can the drugmakers claim the shots produce protection? Stop saying that.

Malone was pointing out that pharma’s claims of efficacy were only based on large-group statistical conclusions, rather than any hard-science-based —i.e. measurable— biological effect. Whereas, most other vaccines do have established correlates of protection— meaning that there are well-defined, measurable biological markers (often specific antibody levels) that can reliably predict immunity.

" https://www.coffeeandcovid.com/p/unprescribed-saturday-september-20 "

ABSTRACT - Many media and public-record statements, including Congressional statements and testimony, since 2022, have often asserted that COVID‑19 vaccination in the USA prevented some 100 million infections, saved some millions of lives, saved some tens of millions of hospitalizations, and saved some 1 trillion dollars in associated medical costs. These fantastic and unverifiable claims are based on theoretical models of so‑called counterfactual scenarios, which are back predictions under hypothetical absence of COVID‑19 vaccination. The said claims are reported in several scientific articles, often in leading scientific journals, however their authors sparingly show and essentially never examine the time evolution of the back predictions for plausibility. We calculate time evolutions corresponding to the back predictions. We show that if one accepts the counterfactual models and their inputs to then calculate the corresponding excess all-cause mortality that would have occurred, then one graphically obtains excess all-cause mortality by time (by week) that is contrary to realistic behaviours. By accepting the counterfactual models, we must believe that the two main COVID-19 vaccination campaigns (doses 1+2 and first-booster dose rollouts, in early and late 2021, respectively) coincidentally were each applied just in time prior to two staggering spontaneous many-fold increases in viral virulence. In other words, we must believe that the massive and repeated COVID-19 vaccine rollouts did not significantly reduce mortality in 2021 and in 2022 compared to 2020 (they actually did not) because the virus became more virulent than ever in those years, twice, in early 2021 and in late 2021―early 2022, producing 5‑fold hypothetical increases in excess all-cause mortality by year. The counterfactual scenarios are so improbable that they can, on the sole basis of the predictions themselves, be qualified as impossible.