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-positive 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 an appreciable 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 hospitalization or death.
From their website:
As of May 1, 2021, CDC transitioned from monitoring all reported vaccine breakthrough cases to focus on identifying and investigating only hospitalized or fatal cases due to any cause. This shift will help maximize the quality of the data collected on cases of greatest clinical and public health importance. Previous case counts, which were last updated on April 26, 2021, are available for reference only and will not be updated moving forward.
Just like that, being asymptomatic – or having only minor symptoms – will no longer count as a “Covid case” but only if you’ve been vaccinated.
The CDC has put new policies in place which effectively created a tiered system of diagnosis. Meaning, from now on, unvaccinated people will find it much easier to be diagnosed with Covid19 than vaccinated people.
Consider…
Person A has not been vaccinated. They test positive for Covid using a PCR test at 40 cycles and, despite having no symptoms, they are officially a “covid case”.
Person B has been vaccinated. They test positive at 28 cycles, and spend six weeks bedridden with a high fever. Because they never went into a hospital and didn’t die they are NOT a Covid case.
Person C, who was also vaccinated, did die. After weeks in hospital with a high fever and respiratory problems. Only their positive PCR test was 29 cycles, so they’re not officially a Covid case either.
Read full story here: https://off-guardian.org/2021/05/18/how-the-cdc-is-manipulating-data-to-prop-up-vaccine-effectiveness/