CDC Changes Test Thresholds To Virtually Eliminate New COVID Cases Among Vaxx’d

Agency altering its practices of data logging for COVID to make it seem the experimental gene-therapy “vaccines” are effective at preventing the alleged disease.

Source: https://www.newswars.com/caught-red-handed-cdc-changes-test-thresholds-to-virtually-eliminate-new-covid-cases-among-vaxxd/

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:

1. 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)

1. 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”.

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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.

The CDC is demonstrating the beauty of having a “disease” that can appear or disappear depending on how you measure it.

To be clear: If these new policies had been the global approach to “Covid” since December 2019, there would never have been a pandemic at all.

If you apply them only to the vaccinated, but keep the old rules for the unvaccinated, the only possible result can be that the official records show “Covid” is much more prevalent among the latter than the former.

This is a policy designed to continuously inflate one number, and systematically minimise the other.

What is that if not an obvious and deliberate act of deception?

Flaws in Many Models Used for COVID Lockdown

 https://www.theepochtimes.com/professor-explains-flaw-in-many-models-used-for-covid-lockdown-policies_3807048.html

CANADA

Professor Explains Flaw in Many Models Used for COVID Lockdown Policies

BY ANDREW CHEN

 

May 10, 2021 Updated: May 10, 2021

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Economics professor Doug Allen wanted to know why so many early models used to create COVID-19 lockdown policies turned out to be highly incorrect. What he found was that a great majority were based on false assumptions and “tended to over-estimate the benefits and under-estimate the costs.” He found it troubling that policies such as total lockdowns were based on those models.

“They were built on a set of assumptions. Those assumptions turned out to be really important, and the models are very sensitive to them, and they turn out to be false,” said Allen, the Burnaby Mountain Professor of Economics at Simon Fraser University, in an interview.

Allen says most of the early cost-benefit studies that he reviewed didn’t try to distinguish between mandated and voluntary changes in people’s behaviour in the face of a pandemic. Rather, they just assumed an exponential growth of cases of infection day after day until herd immunity is reached.

In a paper he published in April, in which he compiled his findings based on a review of over 80 papers on the effects of lockdowns around the world, Allen concluded that lockdowns may be one of “the greatest peacetime policy failures in Canada’s history.”

He says many of the studies early in the pandemic assumed that human behaviour changes only as a result of state-mandated intervention, such as the closing of schools and non-essential businesses, mask and social distancing orders, and restrictions on private social gatherings.

However, they didn’t take into consideration people’s voluntary behavioural changes in response to the virus threat, which have a major impact on evaluating the merits of a lockdown policy.

“Human beings make choices, and we respond to the environment that we’re in, [but] these early models did not take this into account,” Allen said. “If there’s a virus around, I don’t go to stores often. If I go to a store, I go to a store that doesn’t have me meeting so many people. If I do meet people, I tend to still stand my distance from them. You don’t need lockdowns to induce people to behave that way.”

Allen’s own cost-benefit analysis is based on the calculation of “life-years saved,” which determines “how many years of lost life will have been caused by the various harms of lockdowns versus how many years of lost life were saved by lockdowns.”

Based on his lost-life calculation, lockdown measures have caused 282 times more harm than benefit to Canadian society over the long term, or 282 times more life years lost than saved.

Today, some 14 months into the pandemic, many jurisdictions across Canada are still following the same policy trajectory outlined at the beginning of the pandemic. Allen attributes this to politics.

He says that while scientists have found that the virus starts to mitigate about 30 days into a wave, when case numbers would reach an equilibrium, politicians often take credit for having achieved this through their lockdown measures.

“I think it makes perfect sense why they do exactly what they did last year,” Allen said.

“If you were a politician, would you say, ‘We’re not going to lock down because it doesn’t make a difference, and we actually did the equivalent of killing 600,000 people this last year.’”

You wouldn’t, he said, because “the alternative is they [politicians] have to admit that they made a mistake, and they caused … multiple more loss of life years than they saved.”

Allen laments that media for the most part have carried only one side of the debate on COVID-19 restrictions and haven’t examined the other side. Adding to the concern, he says, is that views contrary to the official government response are often pulled from social media platforms.

He says he has heard that even his own published study has been censored by some social media sites.

“In some sense these are private platforms. They can do what they want. But on the other hand, I feel kind of sad that we live in the kind of a world where posing opposing opinions is either dismissed, ignored, or … name-called, [and] in some ways cancelled,” Allen said.