Answer to the Question: “How are They Getting the Statistics on Covid-19 Positives?”
A major question faced those attempting to convince the public to challenge the mainstream narrative on Covid-19 is: “The scientific statistics speak for themselves: how do explain the high Covid-19 numbers?”
The answer lies in the method used in the most popular tests: the PCR or Polymerase chain reaction method.
https://en.wikipedia.org/wiki/Polymerase_chain_reaction
Most people diagnosed as positive never show any symptoms and would otherwise have thought of themselves as perfectly healthy if not for the positive test result.
Polymerase chain reaction method uses chemicals to amplify the viral genetic material present in the body of the person being tested.
In most cases the virus is initially completely undetected in the first cycle of testing. So the PCR modality simply amplifies – you could say magnifies – the sample to make it more detectable. If after one cycle of amplification the virus is still not detected, they will simply amplify the strand even further to see if they detect it then. If it is still not detectable they will simply increase the cycles of amplifications until the sample is so expanded that the virus is detectable.
The greater number of amplification cycles needed to detect the virus, the more microscopic, insignificant and benign the virus is. In most cases they just end up detecting short strands of inactive RNA that broke into pieces months ago.
So you think there would be an established amplification threshold for effective testing for genuine diagnosis, but there is not; in fact some tests will amplify as many as 40 times to detect the tiniest presence of the virus.
40 = cuarenta in Spanish from which we get “quarantine.”
A simple explanation of the PCR testing method for the Leyman can be found in just the first sentence of Wikipedia’s page on PCR:https://en.wikipedia.org/wiki/Polymerase_chain_reaction:
“Polymerase chain reaction is a method widely used to rapidly make millions to billions of copies of a specific DNA sample, allowing scientists to take a very small sample of DNA and amplify it to a large enough amount to study in detail.”
Recent in-depth scientific articles on the flaws of the CPR test are: Lies, Damned Lies and Health Statistics – The Deadly Danger of False Positives by Dr. Mike Yeadon former ECO and VP, Respiratory Research head with Pfizer Global. He has a 30-year career in research in particularly respiratory viruses.
Another article is “If The PCR Test Is Unreliable – Why Are Health Officials Demanding The Public Be Tested?” published in The Last American Vagabond. https://www.thelastamericanvagabond.com/if-the-pcr-test-is-unreliable-why-are-health-officials-demanding-the-public-be-tested/
