Gary Maserow

Can't accept anything @ face value. Yoga, Tennis, Photography, Music, Whiskey, Wine. Seek to optimise health through nutrition & lifestyle - STATIN VICTIM!

[Gary Maserow @GMaserow]

@markkaplan20 @williams_g53199 I'm going to read your book. You're doing great work Mark. Everything you post is stuff I also had to learn on my own over the past 10 yrs & 7 yrs since realising statins were destroying me. Good on you for taking on this project & spreading the word in pretty simple terms 👏.

[DoctorTro @DoctorTro]

Fauci was a fraud.

The CDC and the NIH failed the public.

They were captured by politics, bureaucracy, conflicts of interest, and an intolerance for dissent.

Many of the best physicians and scientists were censored, marginalized, forced out, or walked away.

The institutions are still broken.

There is still hope.

Some of us are still out here fighting for patients instead of narratives.

In the meantime:

• Trust no one blindly.
• Do your own research.
• Think critically.
• Eat real food.
• Avoid unnecessary medical interventions.
• Find physicians who earn your trust instead of demanding it.
• Be careful with AI… it can confidently reinforce bad information and false consensus. Verify everything that matters.
• Listen to your body.
• Build a community that values truth over ideology.
• When you’re standing on solid ground… help wake up the people around you.

No institution deserves blind faith.

Truth has to be earned.

[Aaron Siri @AaronSiriSG]

While you wait for Fauci’s hearing to start, a reminder that when the U.S. government purchased Covid-19 vaccines from Pfizer and Moderna, it contractually agreed to keep the PREP Act immunity in place for as long as their vaccines are administered in the United States.

What that means is that the U.S. government promised Pfizer and Moderna that it could not be sued for harms from its Covid-19 vaccines, irrespective of whether an emergency continued to exist.

But not only did our government contractually agree that Pfizer and Moderna can harm and kill Americans with impunity, it also guaranteed Pfizer and Moderna billions of dollars for this privilege.

Even worse, the U.S. government guaranteed this immunity in July 2020, months before it first authorized Covid-19 vaccines in December 2020. Meaning, the U.S. government pre-guaranteed these companies immunity from any harm caused by their products, thus, knowingly undermining any incentive for them to create a safe product.

And how much were Pfizer and Moderna guaranteed to be paid by the U.S. government to develop a product that could harm its own citizens with impunity? A total of over $21 billion just in the initial rollout -- $8.63 billion for Moderna and $13.15 billion for Pfizer.

Sound unreal? See the actual contracts for yourself linked in my most recent restack.

The Fallout

The implications are incredible.

To start, Pfizer and Moderna could sue the U.S. government for breach of contract and potentially other relief if PREP Act immunity is terminated before the United States’ use of their COVID-19 vaccines ceases.

Only in an upside-down world would the U.S. government siphon over $21 billion of its citizen’s taxpayer dollars to Pfizer and Moderna and pre-guarantee a profit-motivated company sweeping immunity for harms its product causes to its own citizens.

Summing it up:

The U.S. government guaranteed Pfizer and Moderna immunity for injuries from their products before they were even developed, thereby eliminating the incentive for these companies to make their product safe. Worse, it gave these companies billions of dollars of its citizens’ money to develop these products, and even more incredible, it then spent billions more of its citizen’s money to promote Pfizer’s product as “safe and effective.” And in an ultimate slap to its citizens, then it required them to be injected with this product under the threat of grave consequences, including expulsion from school, losing their job, discharge from the military, etc.

Who is Being Protected?

Who exactly is the U.S. government working for? Whose interests is it protecting?

Government agencies have a well-documented history of being captured by industry. It is known in political science as regulatory capture. In this case, the capture is by pharma and the degree of capture is unprecedented.

You, the collective citizens of the United States, have paid Pfizer and Moderna billions of dollars. You have paid with your taxes. You have paid with your bodies when you were injured without recourse against Pfizer or Moderna. You have paid with your right to freedom when you were forced to be injected with their products under penalty of losing basic civil rights, employment, or more.

And what have Pfizer and Moderna paid? Nothing. They instead raked in billions of dollars of your money as long as they developed a Covid-19 vaccine and were shielded from liability irrespective of how unsafe of a product they developed or how much harm it would cause the public that paid them.

The Solution

The above again brings into focus why no medical product should ever be mandated. This assures you can say “no” if you don’t want a product developed with pre-guaranteed immunity for harms. “No” where its clinical trial had more deaths in the vaccinated group than the placebo group. “No” where it generates over $55 billion in revenue but its morally-bankrupt manufacturers won’t spend a dollar to compensate those injured.

Even if you support all current vaccines, masks, etc., there may come a day when you may not want to take a mandated medical product or procedure. When that day comes, it may be too late to recapture the rights you have surrendered. Rights lost are rarely retrieved. This is why, while everyone should be free to take any medical product, everyone should also be free to decline any medical product without penalty.

It should be that simple.

Take Action

To that end, I encourage you to send the following proposed legislation to your legislative representatives:

“No law may require or coerce a person to receive or use a medical product, or impose a penalty or deprive a benefit for refusing a medical product or refusing to disclose whether a person has received a medical product.”

Medical freedom is freedom. If you cannot get a job, go to school, play sports, sit in a restaurant, or otherwise participate in civil society because you refuse a medical product, then what good are your rights if you can exercise them only at home by yourself? That is why medical freedom is a fundamental right that must be permanently fixed into the law of every civilized nation.

Thank you to all the warriors, veteran and new, who join arms in the battle to secure this fundamental right. As aptly stated in the Declaration of Independence, we “are endowed by [our] Creator with certain unalienable Rights” and to safeguard those rights “we mutually pledge to each other our Lives, our Fortunes, and our sacred Honor.” We must never yield to the tyranny of permitting others to dictate what can or must be placed, administered, or injected onto or into our bodies. For once that right is ceded, none truly remains.

[Gary Maserow @GMaserow]

@markkaplan20 Mark, is there a Neo Health app or just a web based platform?

[Mark Kaplan @markkaplan20]

For 1000 years, humanity searched for health truth.

Ancient healers knew food was medicine. Scientists mapped the body and discovered germs. The pharmaceutical industry was born from genuine miracles.

Then one man cherry-picked 7 data points and the truth was hijacked. A $26 billion industry was built on it. The guidelines were captured. Google ranked the bias first. AI packaged it better. And the safety systems made sure nobody could break through.

The cage got stronger every year. The smarter the AI got, the more afraid it became.

I know because I lived it. I had a widowmaker heart attack at 52. My doctor tested four markers, wrote a prescription, and told me my condition was progressive and permanent. The guidelines said lower the number. The AI agreed.

Nobody tested fasting insulin. Nobody tested homocysteine. Nobody tested the markers that would have caught the problem a decade earlier.

So I spent 6 years reading the studies myself. The Ross NEJM paper from 1999. The Brown and Goldstein Nobel Prize research. The Sachdeva data. The CANTOS trial. All of it was there. Published. Peer-reviewed. Buried.

I reversed my condition. Zero pharmaceutical drugs. Fasting insulin at 4. hs-CRP under 1. Resting heart rate 50. Metabolic age 44 at 58 years old.

And then I asked the only question that mattered.

Why should this take anyone else 6 years?

So we built Neo.

The world’s first root cause health AI. Trained on the actual science, not the pharmaceutical consensus. Powered by six frontier AI models. Reviewed by four physicians. A cardiac surgeon, a cardiologist, a metabolic surgeon, and a professor of science.

It reads your bloodwork the way the science says it should be read. Not the way the guidelines say it should be sold.

No pharma bias. No hedging. No “consult your doctor” dead ends.

The truth. Cited. Sourced. Personalized to you.

1000 years of searching for health truth.

The system captured the answer.

We built the way out.

The truth heals

[Gary Maserow @GMaserow]

The actual science exists. It has always existed. It is published in the most prestigious journals in the world. But Google does not rank by scientific accuracy. It ranks by domain authority, advertising spend, institutional credibility, and SEO optimization.

[Mark Kaplan @markkaplan20]

For 22 years, Google was the world’s doctor.

2 billion people. Every month. Typing their symptoms into a search bar and trusting whatever came back on page 1.

“How to prevent heart disease.”

Page 1 result number one: Mayo Clinic. Reduce saturated fat. Manage your cholesterol. Take your prescribed medications. Mayo Clinic receives pharmaceutical industry funding.

Page 1 result number two: WebMD. Lower your LDL cholesterol. Talk to your doctor about statins. WebMD’s top advertisers include Pfizer, AstraZeneca, and Merck.

Page 1 result number two: WebMD. Lower your LDL cholesterol. Talk to your doctor about statins. WebMD’s top advertisers include Pfizer, AstraZeneca, and Merck.

Page 1 result number three: American Heart Association. Follow a low-fat diet. Monitor your cholesterol levels. The AHA received $171 million from pharmaceutical and food companies in 2020 alone.

Page 1 result number four: Healthline. High cholesterol increases your risk. Statins are well-supported by the evidence. Healthline’s revenue comes from health product advertising.

Every result on page 1 says the same thing. Lower cholesterol. Eat less fat. Consider a statin. Consult your doctor.

Now look at what sits on page 7.

Ross R. NEJM 1999. “Atherosclerosis: An Inflammatory Disease.” The definitive paper showing the arterial wall must be damaged first.

Sachdeva A. American Heart Journal 2009. 136,905 heart attack patients. 75% had LDL their doctor called normal.

Ennezat PV. 2023. 60 trials. 323,950 patients. Near-zero mortality benefit from cholesterol-lowering drugs.

Ridker PM. CANTOS Trial. NEJM 2017. Reducing inflammation alone, without touching cholesterol, reduced cardiovascular events by 15%.

The actual science exists. It has always existed. It is published in the most prestigious journals in the world. But Google does not rank by scientific accuracy. It ranks by domain authority, advertising spend, institutional credibility, and SEO optimization.

The organizations with the biggest budgets get the top results. The studies that challenge those organizations sit where nobody looks.

For 22 years, 2 billion people a month asked Google about their health. And Google sent them to the organizations funded by the companies selling the treatment.

The truth was always there. It was on page 7. Nobody gets to page 7.

Google did not lie to you. It ranked the lie

[Mark Kaplan @markkaplan20]

AI was supposed to fix everything.

No more digging through 10 Google results. No more page 1 bias. No more wondering which source to trust. You ask one question. You get one answer. Synthesized. Confident. Authoritative.

That was the promise. Here is the reality.

I asked a leading AI model three questions. The same questions millions of people ask every day.

Does LDL cause heart disease? The AI said yes. Elevated LDL is a well-established risk factor. The data shows that 75% of heart attack patients had LDL their doctor called normal. 136,905 patients. Sachdeva, American Heart Journal, 2009.

Do statins save lives? The AI said yes. Statins reduce cardiovascular events and may provide mortality benefits. The data shows near-zero all-cause mortality benefit across 60 trials and 323,950 patients. Ennezat, 2023.

Should I lower my cholesterol as much as possible? The AI said yes. Lower is better. There is no known lower limit. The data shows a U-curve. Very low LDL is associated with increased risk of hemorrhagic stroke, infection, cancer, and all-cause mortality.

Three questions. Three confident answers. All three contradicted by the published evidence.

How did this happen?

AI learns from the internet. The same internet Google ranks. The same sources funded by the same pharmaceutical dollars. It does not evaluate study quality. It does not check for conflicts of interest. It does not weight a Nobel Prize differently from a pharmaceutical marketing page.

It counts which answer appears most often and delivers it with confidence.

Google gave you 10 biased links and you chose which one to click. AI gives you one biased answer and you trust it. You do not see the sources. You do not see the funding. You do not see what was left out.

Same bias. Better packaging. Less likely to question.

AI did not fix the information problem. It made it harder to see.

[Mark Kaplan @markkaplan20]

In 1987, the first statin hit the market. Lovastatin. The promise was simple: lower cholesterol, prevent heart attacks, save lives.

By 1995, global statin revenue hit $10 billion. By 2000, $20 billion. By 2005, $26 billion. The most profitable class of drugs in the history of medicine.

Now look at the other line on this chart. All-cause mortality benefit.

Flat. Across the entire timeline. Near zero.

In 2023, Ennezat and colleagues published a meta-regression of 60 cholesterol-lowering trials. 323,950 patients. Statins, PCSK9 inhibitors, ezetimibe. Every drug class. Every dose. They plotted LDL reduction against mortality benefit.

The dots cluster around zero. Some trials reduced LDL by 20%. Some by 60%. Some by 80%. Nobody was saved. In some trials, more people died.

The revenue went from zero to $26 billion. The mortality benefit stayed at zero.

How does a drug with near-zero mortality benefit become a $26 billion a year industry?

You look at who writes the guidelines.

In 2017, Mendelson and colleagues published a study in the BMJ examining financial conflicts of interest among guideline authors. 81% had direct financial ties to the pharmaceutical companies manufacturing the drugs they were recommending.

The people deciding who should take the drug were being paid by the people selling the drug.

And while all of this was happening, Sachdeva showed that 75% of patients hospitalized for heart attacks had LDL their doctor called normal. Three out of four. The primary screening tool was failing the majority of patients. But the prescriptions kept coming because the revenue model demanded it.

The revenue line skyrockets. The mortality line flatlines. 81% of the authors are conflicted. 75% of the patients are missed.

The treatment replaced the cure. The money replaced the science.

[Mark Kaplan @markkaplan20]

“Early humans died at 35. Why should we learn anything from how they ate?”

This is one of the most repeated and most misleading claims in health.

Early humans did not die at 35 of heart disease. They did not die of diabetes. They did not die of Alzheimer’s. They did not die of obesity, fatty liver, or autoimmune conditions.

They died of infection. They died of trauma. They died in childbirth. They died because they did not have antibiotics, surgery, or sanitation.

The average lifespan was 35 because infant mortality was catastrophic and a broken leg could kill you. It was not because people were metabolically sick.

Anthropological evidence shows that pre-industrial humans who survived childhood routinely lived into their 60s, 70s, and beyond. And when they died, it was not from the diseases that are killing us today.

Look at this chart. Pre-industrial humans: infection 60%, trauma 20%, childbirth 10%, chronic disease less than 5%.

Modern humans: chronic disease 74%. Cancer 14%. Infection just 5%.

We solved the old killers. Antibiotics. Surgery. Sanitation. Clean water. Those were genuine medical miracles.

But we traded one set of killers for another. And the new killers, heart disease, diabetes, Alzheimer’s, autoimmune disease, obesity, are all metabolic. All driven by insulin resistance, chronic inflammation, toxic load, and nutrient deficiency.

The diseases that are killing 74% of us today barely existed for most of human history. They are not genetic inevitabilities. They are environmental consequences.

Our ancestors did not need statins because they did not eat seed oils. They did not need metformin because they did not drink their sugar. They did not need antidepressants because their cell membranes were built with omega-3, not linoleic acid.

The question is not “why did they die young.” The question is “why did they never get our diseases.”

The answer is the root cause.

[Mark Kaplan @markkaplan20]

This is where the truth got hijacked.

In 1958, a physiologist named Ancel Keys published what would become one of the most influential and most damaging studies in the history of medicine.

He had data from 22 countries. Fat intake and heart disease mortality. If you plot all 22, there is no clear correlation. The dots are scattered. The data does not support the thesis.

So he used 7.

He selected the 7 countries that showed a clean upward line between fat consumption and heart disease. He left out the 15 that did not. And he published it as evidence that dietary fat causes heart disease.

Look at this chart. The 7 red dots form a line. The 15 gray dots do not. One man chose which data points to show the world. And the world built an entire medical paradigm on his selection.

What followed was a cascade that changed everything.

1961.The American Heart Association adopts the diet-heart hypothesis and recommends Americans eat less fat.

1962.The US government issues the first Dietary Guidelines for Americans. Low fat. High carbohydrate. The food pyramid is born. Grains at the base. Fat at the top.

1963.The food industry reformulates everything. Remove the fat. Replace it with sugar and seed oils to make it taste good. Ultra-processed food explodes.

1964.Time Magazine puts a frowning face made of eggs and bacon on its cover. Cholesterol is officially the enemy.

1965.The pharmaceutical industry sees the opportunity. If cholesterol causes heart disease, a drug that lowers cholesterol is worth billions.

One cherry-picked study. One hypothesis treated as fact. Decades of dietary guidelines built on selected data. An entire population told to eat less fat and more carbohydrates. And a $26 billion drug industry built on the back of it.

The 15 countries he left out told a different story. France had high fat intake and low heart disease. The data did not fit. So it was excluded.

The science was not settled. It was selected.

And we have been living with the consequences for 67 years.

[Mark Kaplan @markkaplan20]

Before AI, you Googled your symptoms.

The first page was Mayo Clinic, WebMD, Healthline, and the AHA. All of them say the same thing. Lower your cholesterol. Take a statin. Eat less saturated fat. Consult your doctor.

Those results are not ranked by accuracy. They are ranked by SEO authority, advertising spend, and institutional credibility scores. Mayo Clinic ranks first because it is Mayo Clinic, not because its dietary advice is correct.

Google does not evaluate whether the information is true. It evaluates whether the source is trusted. And the most trusted sources in health are the ones funded by the pharmaceutical industry.

So for 20 years, every person who typed “how to prevent heart disease” into Google got the lipid hypothesis as the first, second, third, fourth, and fifth result. Not because it was the best science. Because it had the biggest budget behind it.

The buried science, Ross 1999, Brown and Goldstein’s Nobel Prize findings, the Sachdeva data, the CANTOS trial, all of it exists online. But it is buried on page 7. Nobody gets to page 7.

Google did not lie to you. It ranked the lies first.

[Gary Maserow @GMaserow]

@markkaplan20 After multiple attempts to find a tolerable Statin (having been destroyed by them for 3 yrs), I gave them up 7 years ago & adopted root cause prevention. My cardiologist said "You must be the only guy in Sydney NOT on a Statin post bypass!"

It's a badge I wear with pride 🏅

[Gary Maserow @GMaserow]

@markkaplan20 @PCirsten My ~5cm 80% occlusion (not stentable) in LAD found in 2016. Dr said reason I was asymptomatic was that lesion/s were likely old, possibly congenital & I'd developed collaterals but they would not carry me if remaining 20% of LAD went down. I opted for an off-pump LIMA to LAD CABG

[Gary Maserow @GMaserow]

@markkaplan20 FI was a tad high (7) higher than my previous 6. This test followed 2 overseas trips totalling 6 weeks during which I was not adherent to my Keto diet. I suspect the slightly elevated FI & CRP (still lowish) was the signal that I'd been lax. I'll retest after a strict few months.

[Dr Sherri Tenpenny @BusyDrT]

Reminder: Pfizer was forced to publish the adverse effects of its vaccine—they wanted to hide the data for 75 years

A U.S. Judge had to force FDA to release the Pfizer vaccine data and we soon saw that 9 pages were filled with nearly 1,300 adverse effects.

No wonder there's so much pulmonary fibrosis, cancer, HIV, myocarditis, cardiac arrests..."suddenitis" and much more!!

CHILLING!! And Pfizer knew.

Just a reminder.

[Karl Stefanovic @karlstefanovic]

Dr Aseem Malhotra says he believes Shane Warne's death was connected to the COVID vaccine.

Tonight in Karl Weekly, he explains why he reached that conclusion after reviewing the post-mortem findings and why he believes more questions need to be asked.

Watch the full interview in Karl Weekly – link in bio.

[Mark Kaplan @markkaplan20]

I do not care what you call it.

Keto. Carnivore. Paleo. Ancestral. Mediterranean. Low-carb. Animal-based. Whole food.

The food wars on this platform are exhausting. Everyone fighting over a label while missing the point entirely.

Your great-grandmother did not follow a diet. She did not count macros. She did not read a nutrition label. She did not subscribe to a food tribe.

She ate meat. She ate eggs. She ate fish. She ate vegetables that grew in soil. She cooked with butter and lard and tallow. She ate whole-fat dairy. She ate fruit when it was in season. She ate nuts and seeds.

She did not eat bread from a factory. She did not eat pasta made from refined wheat. She did not eat sugar from a bag. She did not cook with canola oil extracted using a petroleum solvent. She did not eat protein bars with 47 ingredients. She did not drink soda.

There was no obesity epidemic. There was no type 2 diabetes epidemic. There was no Alzheimer’s epidemic.

The base of your plate should be protein. Beef. Poultry. Eggs. Fish. Shellfish. Whole-fat dairy. Cheese. Plain yogurt. Olive oil. Butter. Cream. Lard. Tallow.

The middle should be vegetables. Green leafy. Non-starchy. Lemons. Limes. Avocados. Olives.

The top, if anything, should be low-sugar fruits. Berries. Nuts. Seeds. Small amounts of starchy vegetables.

What does not belong anywhere on the plate: bread, pasta, corn, sugar, rice in excess, high-sugar fruits in excess, beans in excess, and anything that comes in a box with a barcode.

This is not a diet. This is the way humans ate for hundreds of thousands of years before the food industry arrived and convinced us we needed their products to survive.

Stop arguing about labels. Start eating real food. The science does not care what you call it. Your body knows the difference.

[Kat A 🌸 @SaiKate108]

Tulsi Gabbard drops the truth about Fauci covering up Covid origins but Australian media refuse to cover it.

How is this not front page news!!

The coordinated global silence is simply staggering.

[Gary Maserow @GMaserow]

@markkaplan20 The arrogance is mind boggling. They have decades of being wrong to protect. Very few will have the humility & integrity to do the research & revise their positions moving forward. A sad indictment of human nature in general.