How the CDC is manipulating data to prop-up “vaccine effectiveness”



ORIGINAL POST
Posted by Ed 33 days ago
New policies will artificially deflate “breakthrough infections” in the vaccinated, while the old rules continue to inflate case numbers in the unvaccinated.
 
 
The US Center for Disease Control (CDC) is altering its practices of data logging and testing for “Covid19” in order to make it seem the experimental gene-therapy “vaccines” are effective at preventing the alleged disease.
 

They made no secret of this, announcing the policy changes on their website in late April/early May, (though naturally without admitting the fairly obvious motivation behind the change).
 

The trick is in their reporting of what they call “breakthrough infections” – that is people who are fully “vaccinated” against Sars-Cov-2 infection, but get infected anyway.
 

Essentially, Covid19 has long been shown – to those willing to pay attention – to be an entirely created pandemic narrative built on two key factors:

False-postive tests. The unreliable PCR test can be manipulated into reporting a high number of false-positives by altering the cycle threshold (CT value)
 
 
Inflated Case-count. The incredibly broad definition of “Covid case”, used all over the world, lists anyone who receives a positive test as a “Covid19 case”, even if they never experienced any symptoms.
 
Without these two policies, there would never have been a severe pandemic at all, and now the CDC has enacted two policy changes which means they no longer apply to vaccinated people.
 

Firstly, they are lowering their CT value when testing samples from suspected “breakthrough infections”.
 

From the CDC’s instructions for state health authorities on handling “possible breakthrough infections” (uploaded to their website in late April):
 

For cases with a known RT-PCR cycle threshold (Ct) value, submit only specimens with Ct value ≤28 to CDC for sequencing. (Sequencing is not feasible with higher Ct values.)
 

Throughout the pandemic, CT values in excess of 35 have been the norm, with labs around the world going into the 40s.
 

Essentially labs were running as many cycles as necessary to achieve a positive result, despite experts warning that this was pointless (even Fauci himself said anything over 35 cycles is meaningless).
 

But NOW, and only for fully vaccinated people, the CDC will only accept samples achieved from 28 cycles or fewer. That can only be a deliberate decision in order to decrease the number of “breakthrough infections” being officially recorded.
 

Secondly, asymptomatic or mild infections will no longer be recorded as “covid cases”.
 

That’s right. Even if a sample collected at the low CT value of 28 can be sequenced into the virus alleged to cause Covid19, the CDC will no longer be keeping records of breakthrough infections that don’t result in hospitalisation or death.
 

From their website:
 
 
https://off-guardian.org/2021/05/18/how-the-cdc-is-manipulating-data-to-prop-up-vaccine-effectiveness/ 
 
 
 

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COMMENTS
Ed 28 days ago
MORE Flagrant Data Manipulation from the CDC
 
New report is further evidence the CDC is deliberately hiding post-vaccine “breakthrough cases”
 
Anew report, published just yesterday, has provided yet more evidence that the CDC is manipulating data to conceal the number of “breakthrough infections”.

A “breakthrough infection” (or “breakthrough case”) is defined as a person who tests positive for Sars-Cov-2 infection, despite already being fully vaccinated. And this new report finds that the CDC’s official record of breakthrough cases is:
 
 
"likely a substantial undercount"
 
Going on to explain:
 
"The national surveillance system relies on passive and voluntary reporting, and data might not be complete or representative. Many persons with vaccine breakthrough infections, especially those who are asymptomatic or who experience mild illness, might not seek testing"
 
Which is partially accurate, but also a pretty major lie by omission.
 
It is probably true that vaccinated people with no symptoms are unlikely to seek testing, but it is also true that, on March 17th, the CDC updated their advice on testing policy to specifically exclude such people from testing protocols:
 
https://hongkong.asiaxpat.com/Utility/GetImage.ashx?ImageID=c68043a1-c530-4b6a-bf3a-1c95931f6ea8&refreshStamp=0
 
 
So, while it’s certainly true that “breakthrough cases” are likely a substantial undercount, it is dishonest to pretend that this is just an accident of the system. Rather, the system is specifically designed to hide such cases.
 
Of course, this report only goes up to the end of April, the “undercount” will only have gotten worse since then, because the CDC changed their rules AGAIN to make it even harder to keep an accurate count of breakthrough cases.
 
https://off-guardian.org/2021/05/26/more-flagrant-data-manipulation-from-the-cdc/
 
 
 
 
 

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