by Dr Mercola, DC Clothesline:
The COVID-19 pandemic has brought us many harsh lessons. Importantly, it has shown us how easy it is to manufacture panic and control entire populations through deceptive means. Topping the list of deceptive strategies is the use of a test that falsely labels healthy individuals as sick and infectious. This allows mass testing to drive the narrative that we’re in a lethal pandemic.
Of course, I’m talking about the now infamous reverse transcription polymerase chain reaction (RT-PCR) test. The fact is, the PCR test is not designed to be used as a diagnostic tool as it cannot distinguish between inactive viruses and “live” or reproductive ones.1
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This is a crucial point, since inactive and reproductive viruses are not interchangeable in terms of infectivity. If you have a nonreproductive virus in your body, you will not get sick and you cannot spread it to others. Secondly, many if not most laboratories amplify the RNA collected far too many times, which results in healthy people testing “positive.”
The Crucial Detail That Nullifies Most PCR Test Results
The video above explains how the PCR test works and how we are interpreting results incorrectly. In summary, the PCR swab collects RNA from your nasal cavity. This RNA is then reverse transcribed into DNA. Due to its tiny size, it must be amplified to become discernible. Each round of amplification is called a cycle, and the number of amplification cycles used by any given test or lab is called a cycle threshold (CT).
The higher the CT, the greater the risk that insignificant sequences of viral DNA end up being magnified to the point that the test reads positive even if your viral load is extremely low or the virus is inactive and poses no threat to you or anyone else.
Many scientists have noted that anything over 35 cycles is scientifically indefensible.2,3,4 A September 28, 2020, study5 in Clinical Infectious Diseases revealed that when you run a PCR test at a CT of 35 or higher, the accuracy drops to 3%, resulting in a 97% false positive rate.
Yet, a test known as the Corman-Drosten paper and tests recommended by the World Health Organization are set to 45 cycles,6,7,8 and the U.S. Food and Drug Administration and the U.S. Centers for Disease Control and Prevention recommend running PCR tests at a CT of 40.9
The question is why, considering the consensus is that CTs over 35 render the test useless. When labs use these excessive cycle thresholds, you clearly end up with a grossly overestimated number of positive tests, so what we’re really dealing with is a “casedemic”10,11 — an epidemic of false positives.
Many are now questioning whether this was done on purpose to crash the global economy and provide cover for the implementation of what’s known as the Great Reset, which is nothing less than a global totalitarian takeover by unelected technocrats who seek to gobble up all the world’s assets.
Indeed, it seems quite clear we’re not dealing with a lethal pandemic in any real sense. Mortality statistics further prove this is the case, as overall mortality statistics have remained stable in 2020 and in line with previous years.12,13,14
In other words, people are dying from COVID-19, yes, but the illness is not killing an excess number of people. The same number of people would have died anyway, from something. Indeed, CDC data15 released August 26, 2020, showed only 6% of so-called COVID-19 deaths had COVID-19 listed as the sole cause on the death certificate.
“For deaths with conditions or causes in addition to COVID-19, on average, there were 2.6 additional conditions or causes per death,” the CDC stated, and any one of those comorbidities could have killed those people even if COVID-19 was nonexistent.
For Accuracy, Much Lower CTs Must Be Used
Now, if CTs above 35 are scientifically unjustified, just how low of a CT should be used? Quite a few studies have investigated this, so there’s no shortage of data at this point. The fact that the WHO, FDA and CDC still have not changed their CTs downward in light of all these data tells us they’re not interested in getting an accurate picture of the infection rate.