Evidence of harm

 Key pieces of data that are impossible to explain if the vaccines are safe and effective. Executive summary Here's a high level collection of some of the most compelling pieces of evidence I've seen to date. It can be found in the Reference section of my Substack. This is not an exhaustive list, but just the key pieces that can explain why the vaccines may not be effective.

The phase 3 clinical trial data

• The Pfizer trial 6 month report showed absolutely no all-cause morbidity or mortality benefit.
• At best, the drug saved only 1 COVID life per 22,000 recipients. This means that after vaccinating 220M Americans, we might save 10,000 lives from COVID.

Official government data

• VAERS data shows that an estimated hundreds of thousands have died and millions have been injured
• If these weren’t caused by the vaccine, what caused them?
• Why are there more adverse events reported for these vaccines than for all other vaccines in history combined?

Statements from government officials

• The Israeli Ministry of Health revealed that the reason that they never notified the people of Israel about the safety issues from the vaccines was because of budget/staffing issues

Independent expert reports solicited by government officials

• Israeli vaccine safety data showed very clearly the side-effects are serious, long-lasting, and caused by the vaccines.
• It also showed that US officials were not interested in seeing credible COVID vaccine safety that didn't go along with the narrative.

Pre-prints from highly credible sources

• Harvard-Hopkins-UCSF study showed it is unethical to mandate vaccination for college students and anyone younger
• The Thailand study did blood tests before vs. after the jab and determined that nearly 30% of young adults experienced cardiovascular injuries
• This was a simple blood test before and after the vaccine. Why did they not notify parents as soon as the study was published?

Papers published in peer-reviewed medical journals

• The Fraiman-Doshi paper looked at serious adverse event rates and found that the vaccines may not be as safe as has been claimed
• If the vaccine is so safe, why are the drug companies hiding the data?
• Levi cardiac arrest rate elevation paper showed a troubling correlation between vaccine doses and increased cardiac events from January-May 2021

Articles debunking bogus studies in the peer-reviewed scientific literature

• Did "COVID vaccinations" really prevent 14 million deaths?
• The original paper was clearly bogus since the vaccines kill more people than they save
• This article examines the paper claiming the vaccines have been ridiculously effective

Autopsy reports

• There are specialized tests required to diagnose a death from the COVID vaccine. The CDC has never told any medical examiner in the US about these tests.

Retracted papers published in peer-reviewed journals

• One paper, A Report on Myocarditis Adverse Events in the U.S., was retracted because the publisher didn't like the result.
• The reason cited for the retraction: The use of key terminology, specifically the key terms "inoculation" and "vaccination" diverges from common use and are incorrect.

Hard-to-explain anecdotes

• The Died Suddenly group on Facebook was adding users at 20,000 per day making it the fastest growing group in Facebook history. They had to throttle the growth rate due to attempts by the British military to infiltrate the group to cause it to be shut down. The average age of the people reported dead in the group has been trending younger and younger over time.
• Polling results consistently show that more people died from the vaccine than from the virus.

Books to consider

• Turtles all the way down

Mitigation measures: masks, vaccines, lockdowns, social distancing, 6 foot rule

• Masks don't work at all.
• If anything, masks are more likely to hurt you than to benefit you. There is no study at all on the 6 foot distance rule.

Questions for lawmakers

• Why can't we have open forums where our public health officials can be challenged by experts who disagree?

Questions I’d like to ask the CDC

• Why hasn’t anyone calculated the minimum VAERS under-reporting factor (URF)?
• Did the propensity to report change in 2021 vs. previous years?
• How did you calculate the URF and why do John Su and Tom Shimabukuro never talk about it in the ACIP meetings
• There were over 14,000 excess deaths reported in VAERS
• Thousands of adverse events that are elevated by these vaccines compared to all other vaccines combined in previous years. How could this not be a serious safety concern?

The unanswered questions

• Why did the CDC never publish the follow up on the NEJM pregnancy paper by Tom Shimabukuro?
• The CEO of Moderna was asked how the 19 nucleotide sequence from a Moderna patent got into the SARS-CoV-2 genome.
• Fauci wasn't supposed to be funding gain of function research but he was. How is he being held accountable?

Debates

• People who disagree with the mainstream narrative are rewarded with censorship, bans on posting on social media, demonetization of your YouTube account, revocation of your medical license, loss of hospital privileges, etc.
• The way people resolve differences is by confronting the issues and talking through them. But we are not doing this.

Articles about the corruption of science

• The head of the CDC's outside committee on vaccine safety does not want to see the safety data collected by the Israeli Ministry of Health
• This is objective proof of a broken system
• Professor Grace Lee should be removed from her position by the CDC

The precautionary principle of medicine

• In the face of uncertainty, one should take reasonable measures to avoid threats that are serious and plausible
• VAERS, which is at least 41 times under reported, is showing over 12,000 deaths associated with the vaccine, any reasonable person should say that killing more than 41 people to save 1 life is nonsensical... shouldn't we put a PAUSE on this intervention until we resolve the uncertainty?

Summary

• Science requires that we look at all the available data and see whether the data is more consistent with the hypothesis of "safe and effective" or "not safe and effective." All the data that they have seen end up being placed in the "not" bucket.
• They refuse to look at any data that goes against their currently held beliefs.

https://stevekirsch.substack.com/p/the-evidence