72 Comments
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Dr. Molly Rutherford's avatar

It was obvious to all of us seeing patients in 2021 that the shots harmed people and saved no one.

David Pare's avatar

Yeah. Grok gonna Grok. Now just imagine Grok writing code to - say - run a nuclear reactor. "Gosh I'm so sorry for the meltdown. You were right." I had a debate with Alter.systems about chlorine dioxide. It is certain that CD will destroy the gut microbiome. Here's a modification to the old line:

Science advances one AI funeral at a time.

p.s. thanks for observing that "re-educating" Grok in your session does not change its overall training set. Its just a cosmetic change put in to make you a happy customer.

Eve D's avatar

I have friends (and an in-law) still taking the jab. Eventually I had to muffle myself after my attempts to scream from the rafters to anyone who would listen. From their inception vaccines have wreaked havoc, permanently injuring or worse, killing people.

https://fdocc2.wordpress.com/2020/08/24/the-poisoned-needle-by-eleanor-mcbean-1957-is-a-classic-that-you-need-to-know-to-be-medically-informed/

Marcus2M79's avatar

Someone please remind me why the US or other countries have no reports as useful as the Czech or Japan data.

Goldbuggered's avatar

Steve, great work but I it could be actually much worse than you describe. Most/all? of the Covid vaccine data has been compromised by the counting bias where vaccinated persons are not counted as vaccinated until 14 days after the second dose. Anything that happens before then (injuries or Covid cases) is attributed to the unvaccinated. Peter Doshi did some great work in this area and it was picked up by Dr. Vinay Prasad here.

https://www.drvinayprasad.com/p/observational-studies-of-covid-vaccine

Here's sample:

"In the experiment, he says, what if we compare the control arm of the Pfizer study against an imaginary vaccine arm. And for the thought experiment assume the vaccine is useless. As the table above shows, both groups have identical numbers of covid cases— just what you would expect from a useless vaccine. A straight forward analysis shows no benefit (second to last row)

But in the ‘fictional vaccine observational study’ cases are excluded for 36 days. When this is done the useless vaccine, looks like it reduces infections by 48%!!

Doshi makes a very good point in his paper that the solution is to subtract the 36 day infection rate from the observational control arm. Sadly most investigations don't do that."

Here's another good read about Doshi's work.

https://okaythennews.substack.com/p/science-summary-covid-19-vaccines

Keep up the great work!

Deanna Kline's avatar

You know I know it. No ai necessary. Wonder if the numbers of filed death certs and broken down into age groups comparable from ‘16-19 to ‘21-24 is public foi info.

GlyCop's avatar

Our current dilemma is helping the people that have been damaged. Here are some options that may be helpful for detoxing the spike proteins at https://glycop.raindrop.page/coronavirus-18528145

Gunther Heinz's avatar

Careful, you don´t want to be arguing with a machine.

Terry Anderson's avatar

Brilliant analysis.

Mike Casey's avatar

The Illusion of Choice: Why Prevention Is Missing From Modern Medicine

Medical science is not just evolving—it’s under strain.

Public trust is eroding. Questions are increasing. And instead of expanding the conversation, the system appears to be narrowing it.

A recent court ruling made that reality unmistakably clear: vaccination programs must continue, even in the face of growing public concern and calls for reconsideration.

Whether you agree with that decision or not, it exposes something deeper:

The public is not being offered a full spectrum of options.

The debate is framed as a binary:

Comply—or don’t.

Vaccinate—or take your chances.

But what if that framing itself is the problem?

The Missing Third Option

There is a third path that receives almost no attention:

Prevention.

Not pharmaceutical prevention.

Not reactive medicine.

But practical, everyday reduction of pathogen exposure before illness ever begins.

For all the sophistication of modern healthcare—genomic sequencing, advanced imaging, billion-dollar drug development—we have largely ignored simple, scalable ways to reduce microbial load where infection actually starts:

In the mouth

On the skin

In the immediate environment

Instead, the system waits.

Waits for infection.

Waits for symptoms.

Then intervenes.

That model is not prevention.

It is delayed reaction.

Follow the Incentives

Why does prevention remain on the sidelines?

Because prevention doesn’t fit the economic model.

A system built on treatment depends on illness.

A cured patient is a closed transaction.

A healthy patient is not a customer.

This is not a conspiracy—it’s structure.

When billions of dollars flow toward treatment, prevention becomes an afterthought, no matter how logical or accessible it may be.

The Overlooked Tool

One example of a neglected preventative approach is ozonated water.

Ozone—an energized form of oxygen—has been used for decades in:

Water treatment

Food sanitation

Industrial disinfection

Its function is straightforward: it oxidizes and neutralizes microorganisms, then quickly reverts back to oxygen, leaving no chemical residue.

In controlled settings, it is valued precisely because it is:

Fast-acting

Broad-spectrum

Residue-free

Yet despite widespread industrial use, its role in everyday personal prevention is rarely discussed.

A Simple Idea With Big Implications

The concept is almost too simple:

If you consistently reduce pathogen exposure on your body and in your environment, you reduce the likelihood of infection.

Not eliminate risk entirely—but shift the odds.

This can be approached through routine hygiene practices such as:

Oral rinsing

Skin application

Environmental sanitation

All centered around reducing microbial load before it reaches a threshold capable of causing illness.

Why This Matters Now

When legal rulings reinforce a single path…

When public debate becomes increasingly polarized…

When trust in institutions continues to decline…

Ignoring prevention is no longer a minor oversight.

It is a systemic blind spot.

No system should fear expanding its toolkit—especially when that expansion involves low-cost, low-residue, and widely accessible methods that can be openly studied and evaluated.

The Real Question

The question is no longer:

“Should we vaccinate or not?”

The better question is:

“Why are we not investing equal energy into preventing infection in the first place?”

A Shift in Thinking

Prevention does not replace medicine.

It strengthens it.

It reduces burden.

It expands choice.

It empowers individuals.

And most importantly:

It changes the starting point—from reacting to disease… to reducing the conditions that allow disease to exist at all.

The future of health will not be decided by louder arguments.

It will be decided by better questions.

And the most important one may be this:

What if we stopped waiting to get sick?

inge jarl clausen's avatar

This insight is radical: disturbance is not damage to be patched but a reservoir of potential for new growth. Autonomous morphogenesis therefore names the organism’s capacity to self-sculpt its future form once given appropriate conditions of safety and non-interference.

https://vegetativetraining.wordpress.com/an-entire-metatheory/

Joy N.'s avatar

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Crixcyon's avatar

Try this next time. Offer grokski $10 million in bitcoin and then tell IT that big pharma will castrate IT if it doesn't shape up and make big pharma look good. Safe and effective will then be the phrase that never dies.

RA's avatar

I think the lab created cv-19 virus was created for a population reduction project. I think the vaXs were similarly created.

What do the various AI's think about the heart, cancer, dementia, vessel clotting, neurological, cognitive decline, fertility drop problems that seem connected to the vaXs?

Do these new sources of "intelligence" believe youngsters having strokes, cancers, heart attacks, etc has always been the case, but just went unnoticed?

Ollie's avatar

Right; and now OWiD has been caught manipulating data to hide the sudden and unexpected rise in cancer. Boomshakalaka.

https://x.com/ChGefaell/status/2033874694361756096

https://www.2ndsmartestguyintheworld.com/p/modified-mrna-slow-kill-bioweapon

Frank McDonald's avatar

🔎 What that article is claiming

The Substack post you sent (by Steve Kirsch) argues that:

An AI (“Grok”) reviewed the literature

It supposedly concluded there are no high-quality studies showing COVID vaccines reduce mortality in the elderly

It uses country-level data (Czech Republic, Japan, etc.) and says there’s “no discontinuity” in death curves

It frames this as AI “admitting” the mainstream narrative is wrong

⚠️ The core issue: this is not a reliable scientific method

There are several major problems with this line of reasoning:

1) ❌ “AI said so” is not evidence

The article relies on a conversation with an AI, not a peer-reviewed study

AI outputs depend heavily on prompting, framing, and incomplete data

Even the post itself describes Grok making mistakes and contradicting itself before landing on a conclusion

👉 That’s not how scientific conclusions are established.

2) ❌ Country-level (“ecological”) data is weak evidence

Looking at whole-country mortality curves and saying “no visible change = no effect” is a classic pitfall.

Why?

Many variables change at once (variants, behavior, treatments, timing)

Effects can be masked or delayed

Different age groups behave differently

This is called the ecological fallacy—and it’s why epidemiology relies on individual-level data, not just population graphs.

3) ❌ Ignores large, higher-quality studies

There are many large studies that directly examine mortality risk with vaccination, including:

Cohort studies (millions of people)

Case-control studies

Real-world effectiveness studies across multiple countries

These consistently show:

Lower risk of severe disease and death, especially in older adults

The Substack claim that “no such dataset exists” is simply incorrect.

4) ❌ Selection + framing bias

The article:

Selects specific datasets (e.g., Czech, Japan)

Interprets them one way

Dismisses conflicting evidence

This is a known pattern in confirmation-driven analysis.

5) ⚠️ The author’s track record matters

Steve Kirsch is widely known for promoting claims that conflict with mainstream scientific consensus, and critiques of his work often point out:

Cherry-picking data

Misinterpretation of epidemiology

Use of non-peer-reviewed arguments

That doesn’t automatically make him wrong—but it does mean extra caution is warranted.

🧠 What a careful, evidence-based view looks like

From mainstream epidemiology and public health research:

COVID vaccines do not eliminate risk

But they reduce the risk of severe illness and death, especially in:

Older adults

People with comorbidities

This conclusion is based on:

Multiple countries

Different study designs

Consistent replication

🧭 Bottom line

That Substack post is:

❌ Not a scientific paper

❌ Based on AI conversation + selective interpretation

❌ Ignoring stronger forms of evidence

It’s best understood as an opinion piece with a predetermined conclusion, not a reliable synthesis of the literature.

If you want, we can go deeper

This topic gets nuanced fast. If you’d like, I can:

Walk you through actual high-quality studies (in plain English)

Compare all-cause mortality vs COVID-specific mortality

Or even break down the Czech/Japan data properly (this is where things get really interesting)

Just say the word 👍. GPT is a pain. Can you help defeat it? Thank you, Frank McDonald

Gerald Machnee's avatar

The usual rambling.

GROK did not locate ONE peer-reviewed study that showed the "experimental gene therapy" disguised as "vaccines" saved any lives.

Gunther Heinz's avatar

All you have to do is look at Brazilian record level data, and suddenly everything becomes clear: EXCESS MORTALITY = COVID MORTALITY = EXCESS MORTALITY. That´s the "model". That´s the "pandemic". End of story.