Like Most Of Covid, The PCR Test Proved To Be Wrong And Inaccurate For Testing Results

They lied about Gain of Function. They lied about the vaccine being safe and effective for preventing Covid-19. They lied that it would prevent the spread. They lied that masks would work. They lied that you had to be jabbed to keep your job.

Now, the test results show that the PCR test to detect Covid-19 was just as big of a lie. The results were fake and mostly wrong.


We all remember mid-2020 through all of 2021 when every news channel, it seemed, had a running scoreboard with the daily infections and daily deaths allegedly caused by COVID-19, remaining pinned as a sidebar even when the stories being covered were wholly independent from the ‘pandemic’.

The entire COVID-19 hysteria was exacerbated by widespread testing at the urging of global non-profits and non-governmental organizations and at the U.S. taxpayers’ expense.  So long as the Mockingbird Media could increment those “Daily Infected” numbers each night for primetime television.

Scientific organizations such as Science.org criticized the U.S. for inadequate testing in late February 2020, comparing the 1.6 million tests-per-week capability of China with just “459 tests since the epidemic began” in the United States.

That publication went as far as quoting an In-Q-Tel employee, Luciana Borio, saying that the “CDC normally ‘gets the ball rolling’ with diagnostics because it has the expertise and the biosafety laboratories to handle dangerous novel level pathogens.  In-Q-Tel was the “first government-sponsored venture capital firm” chartered by the Central Intelligence Agency.

A PubMed editorial in December 2020 stated that, “The number of positive molecular diagnostic tests, which are largely based on real-time (RT) PCR assays that detect genetic material of the causative agent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), still forms the basis for reporting both symptomatic and asymptomatic cases worldwide.”

The Nobel Prize-winning biochemist who invented the polymerase chain reaction (PCR) in 1983 had previously warned several times that PCR “can find almost anything in anybody”.  Of course these statements were quickly “fact-checked” and “debunked” by outlets like USAToday and The Journal, mainly claiming the cited quotes were “missing context” and that Mullis was specifically referring to the HIV virus and that “health experts say PCR tests are accurate and reliable in detecting COVID-19.”

But a new study out of Germany suggests the testing and dramatic sidebar counters were (mostly) wrong.

Last month, Frontiers in Epidemiology released a peer-reviewed study that obliterated the COVID-19 infection claims that were promulgated to the masses via mainstream news ‘sidebars’ and daily reports on new infections.

According to the report:

We analyzed the ALM-observed week-resolved time courses of test-positive fractions of PCR and IgG tests… Specifically, we show that scaling and shifting the cumulative sum of previous PCR-positive fractions effectively reproduces the time course of the IgG-positive fraction. The value of 0.14 found for the fitted scaling parameter means that only 14% of those who were tested PCR-positively actually became infected with SARS-CoV-2. This parameter fit further implies that a quarter of the German population already carried IgG antibodies from natural infections in their blood at the turn of the year from 2020 to 2021.

The Summary and Conclusion states that:

The principal finding from our analysis of ALM data on both nucleic acid amplification (PCR from mucosal swabs) and IgG antibody (serological) testing for SARS-CoV-2 in Germany between mid-March 2020 and summer 2021 is this: only 14%—and possibly even fewer, down to 10%—of individuals identified as SARS-CoV-2-positive via PCR testing were actually infected, as evidenced by detectable IgG antibodies.

…This evidence-based and representative serological signal was disregarded in favor of relying on the weekly absolute number of positive PCR tests—the so-called “7-day incidence” (“Sieben-Tage-Inzidenz”). Unequivocally, this definition of incidence yields a scientifically meaningless figure in the context of infection dynamics, as it depends entirely on the arbitrary (or imposed) number of PCR tests performed. It is therefore not an objective indicator of epidemiological reality, but an administratively imposed figure—more reflective of political will than scientific rigor. Yet, incomprehensibly, this 7-day incidence metric was even incorporated into the German Infection Protection Act (“Infektionsschutzgesetz”) as the quantitative foundation for imposing highly restrictive public health measures. The methodological shortcomings and institutional processes that enabled its elevation to policy status demand critical re-evaluation—not only to prevent similar errors in the future, but to restore trust in evidence-based public health governance.

This German study tears apart the force-fed narrative.  The PCR numbers were as fake.  They were used to scare people and justify draconian lockdowns that greatly increased the financial gaps in society, hammering down the middle and lower class while creating exorbitant wealth for the top corporate oligarchs.

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None of us who didn’t take it regret that we aren’t jabbed.

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