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Wednesday, September 2, 2015

Flu death statistics are made up to push flu shots...

CDC caught wildly overestimating disease epidemic fatality numbers to boost vaccine sales
by: Ethan A. Huff


Arrogance and egoism run rampant within the ranks of the Centers for Disease Control and Prevention (CDC), where deluded statistical modelers acting on behalf of the pharmaceutical and vaccine industries routinely over hype disease outbreaks like the Ebola scare (and make up fake death statistics in the process) in order to sell more vaccines.

This is admitted by top-level CDC officials, in fact, including a prominent CDC disease modeler by the name of Martin Meltzer. Considered to be the agency's most famous disease modeler, this Jewish, Southern Rhodesia-born analyst predicted that 1.4 million people might contract Ebola in West Africa, a figure that he literally pulled out his behind in order to push for more foreign "aid" to be sent into the region.

The Associated Press (AP) explains in a recent report how the CDC uses these and other wildly inaccurate calculations to push its own agenda, which usually involves scaring governments into buying more emergency medications and vaccines to prevent what is commonly hyped as the potential for widespread disease and death.

Concerning the Ebola outbreak in West Africa, this is exactly what Meltzer did -- he created a "worst-case scenario" computer model that was adopted not only in the U.S. but all around the world to foment dramatic policy changes. His figures weren't based on science, of course, but were rather rooted in speculation for the purpose of motivation.

"Public health officials are well aware that their statistics get used -- and misused -- to justify an increase in their funding," says Peter Doshi, an assistant professor at the University of Maryland School of Pharmacy and an associated editor of the British Medical Journal (BMJ), as quoted by the AP.

Doshi also says these phony numbers are used to bolster vaccination campaigns and push more vaccines. "This is an area again where the CDC is free to produce numbers and nobody can really say they're right or wrong," he adds.

Flu death statistics are made up to push flu shots

It's what the CDC has long done with influenza, citing outrageous death statistics in the tens of thousands per year to scare people into getting more flu shots. The 24,000 people that the CDC claims die every year from the flu is completely made up, it turns out, and doesn't represent an actual death count.

Consider an earlier paper authored by Meltzer and several of his colleagues on the anthrax attacks that allegedly occurred in 2001. At the time, Meltzer forecast a global smallpox epidemic in which, get this, he claimed that 77 trillion cases of smallpox would occur within the year if the government failed to intervene.

With only about six billion people total in the world, this ridiculous 77 trillion figure was completely made up -- and Meltzer admits this! But his justification is that, if he didn't come up with a number this drastic, people wouldn't have taken the alleged threat seriously enough, prompting them towards inaction rather than response.

In other words, these various CDC-manufactured death figures and predictions are just a ruse to push the agency's fear-based agenda. It's a classic case of problem, reaction, solution, with government operatives telling tales through "computer modeling" (the problem) in order to spark the desired response (the reaction). In the end, governments come up with a plan of action that usually involves patented medications and vaccines (the solution).

"The way risk assessment is done in this country is that policy makers shoot the arrow and the risk assessors paint a target around it," admits David Ozonoff, a professor of environmental health at Boston University.

"There's a flavor of this with modeling, too. If you say the purpose (of a modeling estimate) is motivational, that's another way of saying it's not scientific."


Learn more: http://www.naturalnews.com/051023_pandemic_predictions_CDC_bad_science.html#ixzz3kcU8WnZV

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