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COVID – Why Terminology Really, Really Matters

COVID – Why Terminology Really, Really Matters

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COVID - Why Terminology Really, Really Matters Tyler Durden Thu, 09/17/2020 - 05:30

Authored by Dr. Malcolm Kendrick,

COVID - Why terminology really, really matters [And the consequences of getting it horribly wrong]

When is a case not a case?

Since the start of the COVID pandemic I have watched almost everyone get mission critical things wrong. In some ways this is not surprising. Medical terminology is horribly imprecise, and often poorly understood. In calmer times such things are only of interest to research geeks like me. Were they talking about CVD, or CHD?

However, right now, it really, really, matters. Specifically, with regards to the term COVID ‘cases.’

Every day we are informed of a worrying rise in COVID cases in country after country, region after region, city after city. Portugal, France, Leicester, Bolton. Panic, lockdown, quarantine. In France the number of reported cases is now as high as it was at the peak of the epidemic. Over 5,000, on the first of September.

But what does this actually mean? Just to keep the focus on France for a moment. On March 26th, just before their deaths peaked, there were 3,900  ‘cases’. Fourteen days later, there were 1,400 deaths. So, using a widely accepted figure, which is a delay of around two weeks between diagnoses and death, 36% of cases died.

In stark contrast, on August 16th, there were 3,000 cases. Fourteen days later there were 26 deaths.  Which means that, in March, 36% of ‘cases’ died. In August 0.8% of ‘cases’ died. This, in turn, means that COVID was 45 times as deadly in March, as it was in August?

This seems extremely unlikely. In fact, it is so unlikely that it is, in fact, complete rubbish. What we have is a combination of nonsense figures which, added together, create nonsense squared. Or nonsense to the power ten.

To start with, we have the mangling of the concept of a ‘case’.

Previously, in the world of infectious diseases, it has been accepted that a ‘case’ represents someone with symptoms, usually severe symptoms, usually severe enough to be admitted to hospital. Here, from Wikipedia…. yes, I know, but on this sort of stuff they are a good resource.

‘In epidemiology, a case fatality rate (CFR) — sometimes called case fatality risk or disease lethality — is the proportion of deaths from a certain disease compared to the total number of symptomatic people diagnosed with the disease.’

Note the word symptomatic i.e. someone with symptoms.

However, now we stick a swab up someone’s nose, who feels completely well, or very mildly ill. We find that they have some COVID particles lodged up there, and we call them a case of COVID. Sigh, thud!

A symptomless, or even mildly symptomatic positive swab is not a case. Never, in recorded history, has this been true. However, now we have an almost unquestioned acceptance that a positive swab represents a case of COVID. This is then parroted on all the news channels as if it were gospel.

I note that, at last, some people are beginning to question how it can be that, whilst cases are going up and up, deaths are going down, and down.

This is even the case in Sweden, which seems to be the final bastion of people with functioning brains. However, even they seem surprised by this dichotomy. In the first two weeks of August they had 4,152 positive swabs. Yet, in the last two weeks of August, they had a mere 14 deaths (one a day, on average).

That represents 1 death for every 300 positive swabs or, as the mainstream media insists on calling them, positive ‘cases’. Which, currently, represent a case fatality rate of 0.33%. Just to compare that with something similar, the case fatality rate of swine flu (HIN1),  was 0.5%.

Thus, lo and behold, COVID is a less severe infection than swine flu – the pandemic that never was. That’s what these figures appear to tell us. They tell us almost exactly the same in France where they ‘appear’ to have a current case fatality rate of 0.4%.

On the other hand, if you look at the figures from around the world, they are very different. As I write this there have been, according to the WHO, 25 million cases and 850,000 deaths. That is a case fatality rate of more than 3%. Ten times as high.

Why are these figures so all over the place? It is because we are using horribly inaccurate terminology. We are comparing apples with pomegranates to tell us how many bananas we have. Our experts are, essentially, talking gibberish, and the mainstream media is lapping it up. They are defining asymptomatic swabs as cases, and no-one is calling them out on it. Why?

Because… because they are frightened of looking stupid? Primarily, I believe, because they also have no idea what a case might actually be So, it all sounds quite reasonable to them.

The good news

However, moving on from that nonsense, there is some extremely good news buried in here. Which I am going to try and explain. It goes as follows.

At the start of the epidemic, the only people being tested were those who were being admitted to hospital, who were seriously ill. Many of them died. Which is why, in France, there was this very sharp, initial case fatality rate of 35%. In the UK the initial case fatality rate was I think 14%. Last time I looked at the UK figures, the case fatality was 5%, and falling fast.

This fall has occurred, and will occur everywhere in the World, because as you increase your testing, you pick up more and more people with less severe symptoms. People who are far less likely to die. The more you test, the more the case fatality rate falls.

It falls even more dramatically when you start to test people who have no symptoms at all. In fact, as you broaden your testing net, something else very important happens. You gradually move from looking at the case fatality rate to the infection fatality rate.

The infection fatality rate is the measure of how many people who are infected [even those without symptoms, or very mild symptoms] who then die. This is the critical figure to know because it gives you an accurate assessment of the total number of deaths you are likely to see.

IFR x population of a country x % of population infected = total number of deaths (total mortality)

So, where have we got to. Well, although the case fatality rate in the UK still currently stands at 5%, because it is dragged up by the 14% rate we had at the start. If we look at the more recent figures things have changed very dramatically.

In the first two weeks of August there were 13,996 positive swabs in the UK. In the second two weeks of August there were 129 deaths. If you consider every positive swab to be a case, this represents a case fatality rate of 0.9%. Around one fifteenth of that seen at the start.

I think you can clearly see a direction of travel here.

  • At the start on the pandemic we had a, brief, 35% fatality rate in France

  • It was 14% in the UK at the start

  • It now sits at 5% in the UK – over the whole pandemic

  • In August, in the UK, it was down to 0.9%

  • It is currently 0.47% in Germany

  • It is currently 0.4% in France

  • It is currently 0.33% in Sweden

It is falling, falling, everywhere. Where does it end up, this hybrid case/infection fatality rate? Remember, we are still only testing a fraction of the population, so we are missing the majority of people who have been infected, mainly those who do not have symptoms. Which means that these rates must fall further, as they always do in any pandemic.

To quote the Centre for Evidence Base Medicine on the matter:

‘In Swine flu, the IFR (infection fatality rate) ended up as 0.02%, fivefold less than the lowest estimate during the outbreak (the lowest estimate was 0.1% in the 1st ten weeks of the outbreak).

The best place to estimate where we may finally end up with COVID, is with the country that has tested the most people, per head of population. This is Iceland. To quote the Centre for Evidence Based Medicine once more:

‘In Iceland, where the most testing per capita has occurred, the IFR lies somewhere between 0.03% and 0.28%.’

Sitting in the middle of 0.03% and 0.28% is 0.16%. As you can see, Iceland, having tested more people than anywhere else, has the lowest IFR of all. This is not a coincidence. This is an inevitable result of testing more people.

I am going to make a prediction that, in the end, we will end up with an IFR of somewhere around 0.1%. Which is about the same as severe flu pandemics we have had in the past. Remember that figure. It is one in a thousand.

It may surprise you to know that I am not the only person to have made this exact same prediction. On the 28th February, yes that far back, the New England Journal of Medicine published a report by the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD (A.S.F., H.C.L.); and the Centers for Disease Control and Prevention, Atlanta. 4

In this paper ‘Covid-19 — Navigating the Uncharted’ they stated the following:

‘On the basis of a case definition requiring a diagnosis of pneumonia, the currently reported case fatality rate is approximately 2%. In another article in the Journal, Guan et al. report mortality of 1.4% among 1099 patients with laboratory-confirmed Covid-19; these patients had a wide spectrum of disease severity. If one assumes that the number of asymptomatic or minimally symptomatic cases is several times as high as the number of reported cases, the case fatality rate (my underline) may be considerably less than 1%. This suggests that the overall clinical consequences of Covid-19 may ultimately be more akin to those of a severe seasonal influenza.’ 

case fatality rate considerably less than 1%. Their words, not mine. As they also added, ‘the overall clinical consequences of Covid-19 may ultimately be more akin to those of a severe seasonal influenza.’ 

At this point, you may well be asking. Why the hell did we lockdown if COVID was believed to be no more serious than influenza? Right from the start by the most influential infectious disease organisations in the World.

It is because of the mad mathematical modellers. The academic epidemiologists. Neil Ferguson, and others of his ilk. When they were guessing (sorry estimating, sorry modelling) the impact of COVID they used a figure of approximately one per cent as the infection fatality rate. Not the case fatality rate. In so doing, they overestimated the likely impact of COVID by, at the very least, ten-fold.

How could this possibly have happened?

When they put their carefully constructed model together on the 16th of March, if they had been reading the research, they must have been aware that they were looking at a maximum case fatality rate of just over 1% in China, right at the start, where the figures are always at their highest.

Which means that, unless COVID was going to turn out nearly 100% fatal, we could never get anywhere near 1%, for the infection fatality rate. Even Ebola only kills 50%.

But they went with it, they went with 1%. Actually, Imperial College reduced it slightly to 0.9%, for reasons that are opaque.

From this, all else flowed.

If the INFECTION fatality rate truly were 0.9%, and 80% of the population of the UK became infected, there would have been/could have been, around 500,000 deaths.

0.9% x 80% x 67million = 482,000

LOCKDOWN

However, if the case fatality rate is around 1%, then the infection fatality rate will be about one tenth of this, maybe less. So, we would see around 50,000 deaths, about the same as was seen in previous bad flu pandemics.

DO NOT LOCKDOWN

What Imperial College London did was to use a model that overestimated the infection fatality rate by a factor of ten.

We now know, as the IFR rates of various countries falls and falls, that the Imperial College estimated IFR was completely wrong. The UK, for example, has seen 42,000 deaths so far, which is 0.074% of population. The US has seen about 200,000 deaths 0.053%. Sweden, which did not lockdown down, has seen about 6,000 deaths, which is an infection fatality rate of 0.06%. All three countries are opening up and opening up. Whilst the ‘cases’ are rising and rising, the deaths continue to fall. They are, to all intents and purposes, flatlining.

In Iceland it is around 0.16% and falling. In other words…

Stop panicking – it’s over

Whilst everyone is panicking about the ever-increasing number of cases, we should be celebrating them. They are demonstrating, very clearly, that COVID is far, far, less deadly then was feared. The Infection Fatality Rate is most likely going to end up around 0.1%, not 1%.

So yes, it does seem that ‘the overall clinical consequences of Covid-19 may ultimately be more akin to those of a severe seasonal influenza.’

Wise words, wise words indeed. Words that were written by one Anthony S Fauci on the 28th of February 2020. If you haven’t heard of him, look him up.

Critically though, eleven days after this, he rather blotted his copybook, because he went on to say this “The flu has a mortality rate of 0.1 percent. This (COVID) has a mortality rate of 10 times that. That’s the reason I want to emphasize we have to stay ahead of the game in preventing this.”

The mortality rate Dr Fauci? Could it possibly be that he failed to understand that there is no such thing as a mortality rate? Did he mean the case fatality rate, or the infection fatality rate? If he meant the Infection mortality rate of influenza, he was pretty much bang on. If he meant the case fatality rate, he was wrong by a factor of ten.

The reality is that, no matter what Fauci went on to say, severe influenza has a case fatality rate of 1%, and so does COVID. They also have approximately the same infection fatality fate of 0.1%.

It seems that Dr Fauci just got mixed up with the terminology. Because in his Journal article eleven days earlier, he did state… ‘This suggests that the overall clinical consequences of Covid-19 may ultimately be more akin to those of a severe seasonal influenza… [and here is the kicker at the end] (which has a case fatality rate of approximately 0.1%).

You see, he did say the case fatality rate of influenza was approximately 0.1%. Wrong, wrong, wrong, wrong… wrong.

Oh dear, oh dear, oh dear. With influenza, Dr Fauci, the CDC, his co-authors, the National Institute of Allergy and Infectious Diseases and the National Institutes of Health and the New England Journal of Medicine got case fatality rate and infection fatality rate mixed up with influenza. Easy mistake to make. Could have done it myself. But didn’t.

You want to know where Imperial College London really got their 1% infection fatality rate figure from? It seems clear that they got it from Anthony S Fauci and the New England Journal of Medicine. The highest impact journal in the world – which should have the highest impact proof-readers in the world. But clearly does not.

Imperial College then used this wrong NEJM influenza case fatality rate 0.1%. It seems that they then compared this 0.1% figure to the reported COVID case fatality rate, estimated to be 1% and multiplied the impact of COVID by ten – as you would. As you probably should.

So, we got Lockdown. The US used the Fauci figure and got locked down. The world used that figure and got locked down.

That figure just happens to be ten times too high.

I know it is going to be virtually impossible to walk the world back from having made such a ridiculous, stupid, mistake. There are so many reputations at stake. The entire egg production of the world will be required to supply enough yolk to cover appropriate faces.

Of course, it will be denied, absolutely, vehemently, angrily, that anyone got anything wrong. It will be denied that a simple error, a mix up between case fatality and infection fatality led to this. It will even more forcefully stated that COVID remains a deadly killer disease and that all Governments around the world have done exactly the right thing. The actions were right, the models were correct. We all did the RIGHT thing. Only those who are stupid, or incompetent cannot see it.

When wrong, shout louder, get angry, double-down, attack your critics in any way possible. Accuse them of being anti-vaxx, or something of the sort. Dig for the dirt. ‘How to succeed in politics 101, page one, paragraph one.’

However, just have a look, at the figures. Tell me where they are wrong – if you can.

The truth is that this particular Emperor has no clothes on and is, currently, standing bollock naked, right in front of you. Hard to believe, but true.

I would like to thank Ronald B Brown for pointing out this catastrophic error, in his article ‘Public health lessons learned from biases in coronavirus mortality overestimation.’  I had not spotted it. He did. All credit is his. I am simply drawing your attention to what has simply been – probably the biggest single mistake that has ever been made in the history of the world.

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Looking Back At COVID’s Authoritarian Regimes

After having moved from Canada to the United States, partly to be wealthier and partly to be freer (those two are connected, by the way), I was shocked,…

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After having moved from Canada to the United States, partly to be wealthier and partly to be freer (those two are connected, by the way), I was shocked, in March 2020, when President Trump and most US governors imposed heavy restrictions on people’s freedom. The purpose, said Trump and his COVID-19 advisers, was to “flatten the curve”: shut down people’s mobility for two weeks so that hospitals could catch up with the expected demand from COVID patients. In her book Silent Invasion, Dr. Deborah Birx, the coordinator of the White House Coronavirus Task Force, admitted that she was scrambling during those two weeks to come up with a reason to extend the lockdowns for much longer. As she put it, “I didn’t have the numbers in front of me yet to make the case for extending it longer, but I had two weeks to get them.” In short, she chose the goal and then tried to find the data to justify the goal. This, by the way, was from someone who, along with her task force colleague Dr. Anthony Fauci, kept talking about the importance of the scientific method. By the end of April 2020, the term “flatten the curve” had all but disappeared from public discussion.

Now that we are four years past that awful time, it makes sense to look back and see whether those heavy restrictions on the lives of people of all ages made sense. I’ll save you the suspense. They didn’t. The damage to the economy was huge. Remember that “the economy” is not a term used to describe a big machine; it’s a shorthand for the trillions of interactions among hundreds of millions of people. The lockdowns and the subsequent federal spending ballooned the budget deficit and consequent federal debt. The effect on children’s learning, not just in school but outside of school, was huge. These effects will be with us for a long time. It’s not as if there wasn’t another way to go. The people who came up with the idea of lockdowns did so on the basis of abstract models that had not been tested. They ignored a model of human behavior, which I’ll call Hayekian, that is tested every day.

These are the opening two paragraphs of my latest Defining Ideas article, “Looking Back at COVID’s Authoritarian Regimes,” Defining Ideas, March 14, 2024.

Another excerpt:

That wasn’t the only uncertainty. My daughter Karen lived in San Francisco and made her living teaching Pilates. San Francisco mayor London Breed shut down all the gyms, and so there went my daughter’s business. (The good news was that she quickly got online and shifted many of her clients to virtual Pilates. But that’s another story.) We tried to see her every six weeks or so, whether that meant our driving up to San Fran or her driving down to Monterey. But were we allowed to drive to see her? In that first month and a half, we simply didn’t know.

Read the whole thing, which is longer than usual.

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Problems After COVID-19 Vaccination More Prevalent Among Naturally Immune: Study

Problems After COVID-19 Vaccination More Prevalent Among Naturally Immune: Study

Authored by Zachary Stieber via The Epoch Times (emphasis…

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Problems After COVID-19 Vaccination More Prevalent Among Naturally Immune: Study

Authored by Zachary Stieber via The Epoch Times (emphasis ours),

People who recovered from COVID-19 and received a COVID-19 shot were more likely to suffer adverse reactions, researchers in Europe are reporting.

A medical worker administers a dose of the Pfizer-BioNTech COVID-19 vaccine to a patient at a vaccination center in Ancenis-Saint-Gereon, France, on Nov. 17, 2021. (Stephane Mahe//Reuters)

Participants in the study were more likely to experience an adverse reaction after vaccination regardless of the type of shot, with one exception, the researchers found.

Across all vaccine brands, people with prior COVID-19 were 2.6 times as likely after dose one to suffer an adverse reaction, according to the new study. Such people are commonly known as having a type of protection known as natural immunity after recovery.

People with previous COVID-19 were also 1.25 times as likely after dose 2 to experience an adverse reaction.

The findings held true across all vaccine types following dose one.

Of the female participants who received the Pfizer-BioNTech vaccine, for instance, 82 percent who had COVID-19 previously experienced an adverse reaction after their first dose, compared to 59 percent of females who did not have prior COVID-19.

The only exception to the trend was among males who received a second AstraZeneca dose. The percentage of males who suffered an adverse reaction was higher, 33 percent to 24 percent, among those without a COVID-19 history.

Participants who had a prior SARS-CoV-2 infection (confirmed with a positive test) experienced at least one adverse reaction more often after the 1st dose compared to participants who did not have prior COVID-19. This pattern was observed in both men and women and across vaccine brands,” Florence van Hunsel, an epidemiologist with the Netherlands Pharmacovigilance Centre Lareb, and her co-authors wrote.

There were only slightly higher odds of the naturally immune suffering an adverse reaction following receipt of a Pfizer or Moderna booster, the researchers also found.

The researchers performed what’s known as a cohort event monitoring study, following 29,387 participants as they received at least one dose of a COVID-19 vaccine. The participants live in a European country such as Belgium, France, or Slovakia.

Overall, three-quarters of the participants reported at least one adverse reaction, although some were minor such as injection site pain.

Adverse reactions described as serious were reported by 0.24 percent of people who received a first or second dose and 0.26 percent for people who received a booster. Different examples of serious reactions were not listed in the study.

Participants were only specifically asked to record a range of minor adverse reactions (ADRs). They could provide details of other reactions in free text form.

“The unsolicited events were manually assessed and coded, and the seriousness was classified based on international criteria,” researchers said.

The free text answers were not provided by researchers in the paper.

The authors note, ‘In this manuscript, the focus was not on serious ADRs and adverse events of special interest.’” Yet, in their highlights section they state, “The percentage of serious ADRs in the study is low for 1st and 2nd vaccination and booster.”

Dr. Joel Wallskog, co-chair of the group React19, which advocates for people who were injured by vaccines, told The Epoch Times: “It is intellectually dishonest to set out to study minor adverse events after COVID-19 vaccination then make conclusions about the frequency of serious adverse events. They also fail to provide the free text data.” He added that the paper showed “yet another study that is in my opinion, deficient by design.”

Ms. Hunsel did not respond to a request for comment.

She and other researchers listed limitations in the paper, including how they did not provide data broken down by country.

The paper was published by the journal Vaccine on March 6.

The study was funded by the European Medicines Agency and the Dutch government.

No authors declared conflicts of interest.

Some previous papers have also found that people with prior COVID-19 infection had more adverse events following COVID-19 vaccination, including a 2021 paper from French researchers. A U.S. study identified prior COVID-19 as a predictor of the severity of side effects.

Some other studies have determined COVID-19 vaccines confer little or no benefit to people with a history of infection, including those who had received a primary series.

The U.S. Centers for Disease Control and Prevention still recommends people who recovered from COVID-19 receive a COVID-19 vaccine, although a number of other health authorities have stopped recommending the shot for people who have prior COVID-19.

Another New Study

In another new paper, South Korean researchers outlined how they found people were more likely to report certain adverse reactions after COVID-19 vaccination than after receipt of another vaccine.

The reporting of myocarditis, a form of heart inflammation, or pericarditis, a related condition, was nearly 20 times as high among children as the reporting odds following receipt of all other vaccines, the researchers found.

The reporting odds were also much higher for multisystem inflammatory syndrome or Kawasaki disease among adolescent COVID-19 recipients.

Researchers analyzed reports made to VigiBase, which is run by the World Health Organization.

Based on our results, close monitoring for these rare but serious inflammatory reactions after COVID-19 vaccination among adolescents until definitive causal relationship can be established,” the researchers wrote.

The study was published by the Journal of Korean Medical Science in its March edition.

Limitations include VigiBase receiving reports of problems, with some reports going unconfirmed.

Funding came from the South Korean government. One author reported receiving grants from pharmaceutical companies, including Pfizer.

Tyler Durden Fri, 03/15/2024 - 05:00

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‘Excess Mortality Skyrocketed’: Tucker Carlson and Dr. Pierre Kory Unpack ‘Criminal’ COVID Response

‘Excess Mortality Skyrocketed’: Tucker Carlson and Dr. Pierre Kory Unpack ‘Criminal’ COVID Response

As the global pandemic unfolded, government-funded…

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'Excess Mortality Skyrocketed': Tucker Carlson and Dr. Pierre Kory Unpack 'Criminal' COVID Response

As the global pandemic unfolded, government-funded experimental vaccines were hastily developed for a virus which primarily killed the old and fat (and those with other obvious comorbidities), and an aggressive, global campaign to coerce billions into injecting them ensued.

Then there were the lockdowns - with some countries (New Zealand, for example) building internment camps for those who tested positive for Covid-19, and others such as China welding entire apartment buildings shut to trap people inside.

It was an egregious and unnecessary response to a virus that, while highly virulent, was survivable by the vast majority of the general population.

Oh, and the vaccines, which governments are still pushing, didn't work as advertised to the point where health officials changed the definition of "vaccine" multiple times.

Tucker Carlson recently sat down with Dr. Pierre Kory, a critical care specialist and vocal critic of vaccines. The two had a wide-ranging discussion, which included vaccine safety and efficacy, excess mortality, demographic impacts of the virus, big pharma, and the professional price Kory has paid for speaking out.

Keep reading below, or if you have roughly 50 minutes, watch it in its entirety for free on X:

"Do we have any real sense of what the cost, the physical cost to the country and world has been of those vaccines?" Carlson asked, kicking off the interview.

"I do think we have some understanding of the cost. I mean, I think, you know, you're aware of the work of of Ed Dowd, who's put together a team and looked, analytically at a lot of the epidemiologic data," Kory replied. "I mean, time with that vaccination rollout is when all of the numbers started going sideways, the excess mortality started to skyrocket."

When asked "what kind of death toll are we looking at?", Kory responded "...in 2023 alone, in the first nine months, we had what's called an excess mortality of 158,000 Americans," adding "But this is in 2023. I mean, we've  had Omicron now for two years, which is a mild variant. Not that many go to the hospital."

'Safe and Effective'

Tucker also asked Kory why the people who claimed the vaccine were "safe and effective" aren't being held criminally liable for abetting the "killing of all these Americans," to which Kory replied: "It’s my kind of belief, looking back, that [safe and effective] was a predetermined conclusion. There was no data to support that, but it was agreed upon that it would be presented as safe and effective."

Carlson and Kory then discussed the different segments of the population that experienced vaccine side effects, with Kory noting an "explosion in dying in the youngest and healthiest sectors of society," adding "And why did the employed fare far worse than those that weren't? And this particularly white collar, white collar, more than gray collar, more than blue collar."

Kory also said that Big Pharma is 'terrified' of Vitamin D because it "threatens the disease model." As journalist The Vigilant Fox notes on X, "Vitamin D showed about a 60% effectiveness against the incidence of COVID-19 in randomized control trials," and "showed about 40-50% effectiveness in reducing the incidence of COVID-19 in observational studies."

Professional costs

Kory - while risking professional suicide by speaking out, has undoubtedly helped save countless lives by advocating for alternate treatments such as Ivermectin.

Kory shared his own experiences of job loss and censorship, highlighting the challenges of advocating for a more nuanced understanding of vaccine safety in an environment often resistant to dissenting voices.

"I wrote a book called The War on Ivermectin and the the genesis of that book," he said, adding "Not only is my expertise on Ivermectin and my vast clinical experience, but and I tell the story before, but I got an email, during this journey from a guy named William B Grant, who's a professor out in California, and he wrote to me this email just one day, my life was going totally sideways because our protocols focused on Ivermectin. I was using a lot in my practice, as were tens of thousands of doctors around the world, to really good benefits. And I was getting attacked, hit jobs in the media, and he wrote me this email on and he said, Dear Dr. Kory, what they're doing to Ivermectin, they've been doing to vitamin D for decades..."

"And it's got five tactics. And these are the five tactics that all industries employ when science emerges, that's inconvenient to their interests. And so I'm just going to give you an example. Ivermectin science was extremely inconvenient to the interests of the pharmaceutical industrial complex. I mean, it threatened the vaccine campaign. It threatened vaccine hesitancy, which was public enemy number one. We know that, that everything, all the propaganda censorship was literally going after something called vaccine hesitancy."

Money makes the world go 'round

Carlson then hit on perhaps the most devious aspect of the relationship between drug companies and the medical establishment, and how special interests completely taint science to the point where public distrust of institutions has spiked in recent years.

"I think all of it starts at the level the medical journals," said Kory. "Because once you have something established in the medical journals as a, let's say, a proven fact or a generally accepted consensus, consensus comes out of the journals."

"I have dozens of rejection letters from investigators around the world who did good trials on ivermectin, tried to publish it. No thank you, no thank you, no thank you. And then the ones that do get in all purportedly prove that ivermectin didn't work," Kory continued.

"So and then when you look at the ones that actually got in and this is where like probably my biggest estrangement and why I don't recognize science and don't trust it anymore, is the trials that flew to publication in the top journals in the world were so brazenly manipulated and corrupted in the design and conduct in, many of us wrote about it. But they flew to publication, and then every time they were published, you saw these huge PR campaigns in the media. New York Times, Boston Globe, L.A. times, ivermectin doesn't work. Latest high quality, rigorous study says. I'm sitting here in my office watching these lies just ripple throughout the media sphere based on fraudulent studies published in the top journals. And that's that's that has changed. Now that's why I say I'm estranged and I don't know what to trust anymore."

Vaccine Injuries

Carlson asked Kory about his clinical experience with vaccine injuries.

"So how this is how I divide, this is just kind of my perception of vaccine injury is that when I use the term vaccine injury, I'm usually referring to what I call a single organ problem, like pericarditis, myocarditis, stroke, something like that. An autoimmune disease," he replied.

"What I specialize in my practice, is I treat patients with what we call a long Covid long vaxx. It's the same disease, just different triggers, right? One is triggered by Covid, the other one is triggered by the spike protein from the vaccine. Much more common is long vax. The only real differences between the two conditions is that the vaccinated are, on average, sicker and more disabled than the long Covids, with some pretty prominent exceptions to that."

Watch the entire interview above, and you can support Tucker Carlson's endeavors by joining the Tucker Carlson Network here...

Tyler Durden Thu, 03/14/2024 - 16:20

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