For some reason, the image in your post wasn't displaying in Firefox. I had to use another browser to view it.I heard the CDC was pulling the PCR test because it couldn't tell the difference between influenza and covid-19 & strains. Then, I saw this:
What does this imply?
I see the image using Firefox / Chrome / Safari on my Mac. Once in a great while it happens to me and I reboot the computer / Firefox and it fixes the problem for me.For some reason, the image in your post wasn't displaying in Firefox. I had to use another browser to view it.
1. Experts compiled three datasets with officials from the states of Massachusetts, New York and Nevada that conclude:“Up to 90% of the people who tested positive did not carry a virus."2. The Wadworth Center, a New York State laboratory, analyzed the results of its July tests at the request of the NYT: 794 positive tests with a Ct of 40: “With a Ct threshold of 35, approximately half of these PCR tests would no longer be considered positive,” said the NYT. “And about 70% would no longer be considered positive with a Ct of 30! “3. An appeals court in Portugal has ruled that the PCR process is not a reliable test for Sars-Cov-2, and therefore any enforced quarantine based on those test results is unlawful.4. A new study from the Infectious Diseases Society of America, found that at 25 cycles of amplification, 70% of PCR test "positives" are not "cases" since the virus cannot be cultured, it's dead. And by 35: 97% of the positives are non-clinical.5. PCR is not testing for disease, it's testing for a specific RNA pattern and this is the key pivot. When you crank it up to 25, 70% of the positive results are not really "positives" in any clinical sense, since it cannot make you or anyone else sick
it's no secret that the CDC has a history of getting it wrong on covid testing and counting. Bottom line:
It appears they couldn't distinguish between covid and the more common flu, which resulted counting any flu-like symptoms as covid in many places..
Got this on a private newsletter and then confirmed on FDA site.
The Food & Drug Administration issued a class I recall for a defective COVID rapid test that had been the “benchmark” for testing in the United States. It continues an alarming trend of problems with COVID tests in the United States.“The FDA has classified the recall of this test as a Class I recall, the most serious type of recall,” the government agency said. “The FDA also has issued a warning letter to Innova Medical Group, Inc.”Innova describes itself as “the world’s largest manufacturer of rapid antigen tests and leader in COVID-19 testing solutions globally.” The FDA states the reasons for the COVID test recall:“Innova Medical Group is recalling its SARS-CoV-2 Antigen Rapid Qualitative Test. Labeling distributed with certain configurations of the test includes performance claims that did not accurately reflect the performance estimates observed during the clinical studies of the tests. The performance characteristics of the test have not been adequately established, presenting a risk of false results.”
This does suggest there is a ton of bad data and false information out there based on some bad testing regimens. But then, it's no secret that the CDC has a history of getting it wrong on covid testing and counting. Bottom line: It appears they couldn't distinguish between covid and the more common flu, which resulted counting any flu-like symptoms as covid in many places..
- False-negative results may lead to delayed diagnosis or inappropriate treatment of SARS-CoV-2, which may cause patient harm including serious illness and death. False-negative results can also lead to further spread of the SARS-CoV-2 virus, including when presumed negative patients are grouped into cohorts in health care, long-term care, and other facilities based on false test results.
- False-positive results could lead to a delay in the correct diagnosis and the initiation of an appropriate treatment for the actual cause of patient illness, which could be another life-threatening disease that is not SARS-CoV-2. False-positive results could also lead to further spread of the SARS-CoV-2 virus when presumed positive patients are grouped into cohorts based on false test results.
You may or may not be right about the CDC and inflation of influenza stats and I'd like to know. Can you please tell me where you got the information? Thanks!Finally, people are starting to clarify the confusion. It doesn't mean that the current PCR can't differentiate between Covid and the flu but that it only tests for Covid and not for both. The CDC is moving to single tests (several companies making these) that can detect both Covid and influenza to replace the separate PCR and flu only test. That does make sense rather than using two tests at one patient visit to differentiate ...if they're accurate. Haven't researched them yet.
I'd imagine the second--unacknowledged reason--is that the CDC likes to artificially inflate influenza deaths by lumping them with deaths from all cause pneumonia; this will help them get their influenza stats back up since Covid knocked flu stats down last year. I imagine they'd be thrilled to get positives for both viruses from the single test. That'll justify more money from the federal gravy train and more pharmaceutical payouts in the form of patents held by employees for flu vaccines, likely cash under the table and will ensure bureaucratic job security. I think it was @FastTrax who described the CDC as Coin Dat Cash.
You may or may not be right about the CDC and inflation of influenza stats and I'd like to know. Can you please tell me where you got the information? Thanks!
Thanks, Annie.The CDC prior to Covid-19 skewed flu death statistics by lumping deaths due to pneumonia in with flu (P&I report if you're looking at pre-2020 stats on their website) even though pneumonia is caused by a lot of other things such as chemical inhalation, emphysema, aspiration, stomach acid producing drugs, other viruses besides the flu, various bacteria and on and on...
From the British Medical Journal: Are US flu deaths more PR than science?
US data on influenza deaths are a mess. The Centers for Disease Control and Prevention (CDC) acknowledges a difference between flu death and flu associated death yet uses the terms interchangeably. Additionally, there are significant statistical incompatibilities between official estimates and national vital statistics data. Compounding these problems is a marketing of fear—a CDC communications strategy in which medical experts “predict dire outcomes” during flu seasons.The CDC website states what has become commonly accepted and widely reported in the lay and scientific press: annually “about 36 000 [Americans] die from flu” and “influenza/pneumonia” is the seventh leading cause of death in the United States. But why are flu and pneumonia bundled together? Is the relationship so strong or unique to warrant characterising them as a single cause of death?Lay article explaining it from HuffPost Canada: "Don't Believe Everything You Read About Flu Deaths"
Start at page 4, it mentions it:There may be more information in the lawsuit by AFD (America's Frontline Doctors) against DHHS. I haven't read the lawsuit but an informed friend sent some info saying the suit addresses the issue of polymerase chain reaction, or PCR, tests, which are also classified as experimental under an EUA, have artificially increased the number of overall cases.