Grand deception in virus and disease research

Grand deception in virus and disease research

by Jon Rappoport

March 31, 2017

Public health officials usually fail to announce their reasons for claiming a particular virus causes a particular disease; they make those claims in an arbitrary authoritarian fashion.

In this article, I’m going to describe two vital steps in the process of proving a virus causes a disease. There are more steps, but these two will highlight a gaping problem.

I’m putting the information in a Q&A format:

Q: Let’s say researchers are claiming there is a new outbreak of a disease, or there is a disease they’ve never seen before. What’s their first step?

A: Most of the time, they assume a virus is the cause, rather than, say, a pesticide or a medical drug. They jump in and start looking for a virus.

Q: And when they find a virus?

A: Assuming they really do find one, they then look for correlation.

Q: What does that mean?

A: Let’s say they claim they’ve discovered 600 cases of the disease. They try to find the same virus in all those people. Because, if you say a virus causes a particular disease, you have to show that virus is present in all known cases of the disease—or an overwhelming percentage of cases, at the very least.

Q: That would be proof…

A: That would be one step of proof.

Q: Suppose, in these 600 cases, they can find the same virus in a hundred cases. Isn’t that pretty significant?

A: No. It isn’t. It means you couldn’t find the virus in 500 cases. And if that’s true, there is no reason to assume you have the right virus. In fact, it’s very strong evidence you don’t have the virus that’s causing the disease. It’s a compelling reason to go back to the drawing board. You say, “Well, we were wrong about that virus, let’s look for a different one.”

Q: All right. What if you do find the virus in 583 cases out of 600? Then what do you do?

A: You have to understand that the mere PRESENCE of the virus in all those cases ISN’T PROOF it’s causing disease. Lots of people walk around with the same virus in their bodies, but that virus isn’t causing them to get sick. You have to go further.

Q: Meaning?

A: Well, the next step would be finding that the 583 cases have a whole lot of the same virus in their bodies. A great quantity of virus. Not merely a trace. Not merely a little bit.

Q: Why?

A: Because cells in the body are reproducing all the time. If the amount of virus in the body is only infecting a tiny fraction of a particular type of cell, the virus isn’t going to cause a problem. The body is going to produce gigantic numbers of fresh uninfected cells every day.

Q: Do researcher carry out this kind of investigation? Do they assess how much virus is in a person’s body?

A: There are many situations where they don’t. For example, with the Zika virus, I see no evidence researchers examined many, many cases to see how much Zika was present.

Q: Why didn’t they?

A: You’d have to ask them. Perhaps they started to do that, and found there was only a tiny bit of Zika in the babies they examined, and they didn’t want to publicize the fact. They just wanted to assume Zika was the causes of babies being born with small heads and brain damage. But assuming isn’t proving.

Q: You’re talking about a major gap in research.

A: Yes.

Q: What method is used to decide how much virus is in a person’s body?

A: There are several methods. For example, the PCR test.

Q: What’s that?

A: With the PCR, you take a tiny, tiny sample of tissue from a patient. It’s so small you can’t observe it directly. You assume, you hope, you think this sample is a fragment of a virus. Now you amplify that fragment many times, until you can observe it, until you can (hopefully) identify it as the virus you claim is causing the disease…

Q: But that test wouldn’t tell you HOW MUCH virus is in the person’s body.

A: Many researchers believe the PCR allows you to infer how much virus is in a person’s body. I see no convincing evidence they can make such an inference. But also—you have to ask yourself, why did they do the PCR test in the first place? And the answer is: they couldn’t find, by more direct methods, any virus! If they had been able to, they wouldn’t have done the PCR. In other words, there was no reason to believe the patient had enough virus in his body to make him sick.

Q: Again, it seems there is a gaping hole in the research.

A: Indeed. But that doesn’t stop scientists from claiming they’ve found the virus that is causing a disease. I would cite two examples. In 2009, the CDC was embarrassed to learn that the overwhelming percentage of tests on Swine Flu patients were coming back from labs with NO TRACE of Swine Flu virus or any other flu virus. And in 2003, in Canada, more and more SARS patients were showing NO TRACE of the SARS virus.

Q: They would be enormous scandals.

A: They should have been enormous scandals, but the news was suppressed and buried.

Q: These people who were labeled with SARS and Swine Flu—what was really making these people sick?

A: There could have been a variety of causes. Don’t assume all so-called SARS or Swine Flu patients were sick for the same reason. The symptoms of these two illnesses were vague enough and general enough to have stemmed from a variety of causes. Since that’s the case, there was no reason to use the SARS and Swine Flu labels in the first place.

Q: The labels were a deception.

A: Yes. The labels group people together when there is no compelling reason to do so. But when you DO group people together with a disease label, you can sell drugs and vaccines designed to “treat the label.”


power outside the matrix

(To read about Jon’s mega-collection, Power Outside The Matrix, click here.)


Jon Rappoport

The author of three explosive collections, THE MATRIX REVEALED, EXIT FROM THE MATRIX, and POWER OUTSIDE THE MATRIX, Jon was a candidate for a US Congressional seat in the 29th District of California. He maintains a consulting practice for private clients, the purpose of which is the expansion of personal creative power. Nominated for a Pulitzer Prize, he has worked as an investigative reporter for 30 years, writing articles on politics, medicine, and health for CBS Healthwatch, LA Weekly, Spin Magazine, Stern, and other newspapers and magazines in the US and Europe. Jon has delivered lectures and seminars on global politics, health, logic, and creative power to audiences around the world. You can sign up for his free NoMoreFakeNews emails here or his free OutsideTheRealityMachine emails here.

The MERS virus: been down this road before?

The MERS virus: been down this road before?

by Jon Rappoport

May 3, 2014

www.nomorefakenews.com

We are told the first MERS virus case has now arrived in the US. The CDC and the World Health Organization have a new potential pandemic to hype.

As I’ve documented in past articles, we’ve been down this road before. Swine Flu, West Nile, Bird Flu, SARS. All duds. All hyped to the sky…and then the case numbers are miniscule.

You could take all the deaths from these “epidemics” and put them in one small footnote of the assessment that, every year, between 300,000 and 500,000 people around the world die from ordinary regular seasonal flu.

Yes, seasonal flu, about which there is no hype.

But even, you see, with regular seasonal flu, there are gigantic lies.

In December of 2005, the British Medical Journal (online) published a shocking report by Peter Doshi, which spelled out a massive delusion, and created tremors throughout the halls of the CDC.

Here is a quote from Doshi’s report:

“[According to CDC statistics], ‘influenza and pneumonia’ took 62,034 lives in 2001—61,777 of which were attributable to pneumonia and 257 to flu, and in only 18 cases was the flu virus positively identified.”

You see, the CDC has created one category that combines flu and pneumonia deaths. Why do they do this? Because they disingenuously assume that the pneumonia deaths are complications stemming from the flu.

This is an absurd assumption. Pneumonia has a number of causes.


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But even worse, in all the flu and pneumonia deaths, only 18 revealed the presence of an influenza virus.

Therefore, the CDC could not say, with assurance, that more than 18 people died of influenza in 2001. Not 36,000 deaths. 18 deaths.

Doshi continues his assessment of published CDC flu-death statistics: “Between 1979 and 2001, [CDC] data show an average of 1348 [flu] deaths per year (range 257 to 3006).” These figures refer to flu separated out from pneumonia.

This death toll is obviously far lower than the parroted 36,000 figure. However, when you add the sensible condition that lab tests have to actually find the flu virus in patients, the numbers of flu deaths plummet even further.

In other words, it’s all promotion and hype.

“Well, uh, we say that 36,000 people die from the flu every year in the US. But actually, it’s closer to 20. However, we can’t admit that, because if we did, we’d be exposing our gigantic psyop. The whole campaign to scare people into getting a flu shot would have about the same effect as warning people to carry iron umbrellas, in case toasters fall out of upper-story windows…and, by the way, we’d be put in prison for fraud.”

Press outlets are now reporting that the MERS virus has caused 401 cases of illness in the whole world, and 93 deaths. On this basis, the pandemic hype is beginning. Again.

Jon Rappoport

The author of three explosive collections, THE MATRIX REVEALED, EXIT FROM THE MATRIX, and POWER OUTSIDE THE MATRIX, Jon was a candidate for a US Congressional seat in the 29th District of California. He maintains a consulting practice for private clients, the purpose of which is the expansion of personal creative power. Nominated for a Pulitzer Prize, he has worked as an investigative reporter for 30 years, writing articles on politics, medicine, and health for CBS Healthwatch, LA Weekly, Spin Magazine, Stern, and other newspapers and magazines in the US and Europe. Jon has delivered lectures and seminars on global politics, health, logic, and creative power to audiences around the world. You can sign up for his free emails at www.nomorefakenews.com