COVID-19 total “deaths” in the U.S. are at 168,864.
So 6% is only 10,131 deaths from COVID-19 with no other underlying causes.
The New York Times put out an extensive article on polymerase chain reaction (PCR) tests and how they determine who has COVID-19 or not. The PCR tests are widely used to search for small segments of genetic material that look like COVID-19. If it finds it, the test is positive.
The sensitivity levels of the PCR tests have been set too high. The New York Times reports that up to 90% of people testing “positive” carried barely any virus.
People may have had COVID-19 a while ago but certainly didn’t have it now. Or the test may have detected some naturally occurring genetic segments that looked like COVID-19 but weren’t.
Context: if the medical community set appropriate sensitivity levels resulting in “real” positives for COVID-19, the COVID-19-related genetic material in a patient’s sample would have to be anywhere between 100-fold to 1,000-fold the levels that are being used today.
The states and the hospital systems use the PCR data when claiming a COVID-19-related death. If the PCR data comes back and says “positive,” then COVID-19 is claimed as a comorbidity. And we now know that up to 90% of those “positive” tests may in fact be “negative.”
The charts used so widely in by the media to scare us with the spikes in new COVID-19 cases… mean nothing at all.
More than half and up to 90% of those “new cases” are nothing at all.
The economic lockdowns were for nothing.
The two-week self-quarantines were for no reason at all.
Someone or some group within the CDC intentionally gave guidance for the PCR sensitivity settings knowing that this would result in an incredible spike in new cases… and economic destruction, fear, panic, and chaos.
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[ 2.7 ms ] story [ 5.9 ms ] thread########## Significance
COVID-19 total “deaths” in the U.S. are at 168,864.
So 6% is only 10,131 deaths from COVID-19 with no other underlying causes.
The New York Times put out an extensive article on polymerase chain reaction (PCR) tests and how they determine who has COVID-19 or not. The PCR tests are widely used to search for small segments of genetic material that look like COVID-19. If it finds it, the test is positive.
The sensitivity levels of the PCR tests have been set too high. The New York Times reports that up to 90% of people testing “positive” carried barely any virus.
People may have had COVID-19 a while ago but certainly didn’t have it now. Or the test may have detected some naturally occurring genetic segments that looked like COVID-19 but weren’t.
Context: if the medical community set appropriate sensitivity levels resulting in “real” positives for COVID-19, the COVID-19-related genetic material in a patient’s sample would have to be anywhere between 100-fold to 1,000-fold the levels that are being used today.
The states and the hospital systems use the PCR data when claiming a COVID-19-related death. If the PCR data comes back and says “positive,” then COVID-19 is claimed as a comorbidity. And we now know that up to 90% of those “positive” tests may in fact be “negative.”
The charts used so widely in by the media to scare us with the spikes in new COVID-19 cases… mean nothing at all.
More than half and up to 90% of those “new cases” are nothing at all. The economic lockdowns were for nothing. The two-week self-quarantines were for no reason at all.
Someone or some group within the CDC intentionally gave guidance for the PCR sensitivity settings knowing that this would result in an incredible spike in new cases… and economic destruction, fear, panic, and chaos.
This is a scandal of epic proportions.