Up to 90% of people who test positive for Covid barely carry any virus & are not contagious. Every stat about the disease is bogus

Are we surprised by this headline from this report written by Peter Andrews an Irish science journalist and writer based in London?

It has been revealed that the standard tests being used in the US to diagnose Covid-19 cases are far too sensitive, with the vast majority of people marked down as being positive actually turning out to be negative

We can be absolutely sure it is the same case here and everywhere else.

Top US virologists have been stunned by revelations about the laxity of the US Covid testing regimen. It turns out that tests that deliver a simple binary “positive or negative” result are not fit for purpose, as they tell us nothing about the contagiousness of each person.

Data from three US states – New York, Nevada and Massachusetts – shows that when the amount of the virus found in a person is taken into account, up to 90 percent of people who have tested positive should actually have been negative, as they are carrying only tiny amounts of the virus, are not contagious, pose no risk to others, and have no need to isolate.

This means that only a fraction of the daily “cases” being reported so hysterically in the mainstream media are actual, bona fide Covid-19 sufferers, and need treatment and to separate themselves from others

This also means they have been exposed to the virus and are absolutely fine. It also means that large sections of the population have been exposed and we probably have herd immunity given the virus was in the country at least 10 weeks before the lockdown and must have spread to huge numbers of the population. [The flip side is we are to believe this contagious disease for which we are supposed social distance for, was somehow not spreading until the lockdown was announced.] All these tests are doing is confirming this but because the tests are so bad and the viral amounts so low in some people, those people show up positive.

At this rate the governments will be able to play this game indefinitely into the future and all the while using it as an excuse to bring in the New Abnormal and continue with their authoritarian rule.

So how could this have happened? The answer has to do with the sensitivity of PCR (Polymerase chain reaction) tests for Covid ....

-which the inventor of the PCR technique, Nobel Prize winner Kary Mullis warned PCR should never been used for medical testing in this way.....which it turns out can be ramped up according to the taste of the testing companies. Most testing companies have chosen the outrageously high sensitivity limit of 40 PCR cycles – meaning that the DNA in a sample is exponentially increased 40 times in order to amplify its signal.

But using such a ridiculously sensitive test means that the faintest traces of a dead virus, or even leftovers from previous infections, can result in a positive. Professor Juliet Morrison, a University of California virologist, said that even a limit of 35 PCR cycles is too high, let alone 40. She said she was “shocked that people would think that 40 could represent a positive.” But apparently, pretty much everyone in the US Covid brain trust took exactly that on faith.

So the scale of the pandemic ‘problem’ is actually much smaller than we’ve been led to believe – about a tenth of what all the politicians and media have been using to justify the lockdowns, the quarantines, the mass testing. Some may be shocked that the scale of the problem is so much smaller than assumed. But for a seasoned ignorer of any and all statistics that contain Covid ‘cases’, there are no surprises here. The truth is, there was never any reason to be confident in such figures. The FDA has only now been forced to concede that they have no idea how different testing companies determine which the positive and negative tests are: they just accept whatever data they are given.

What these findings bring is absolute assurance that the testing to this point has been an utter waste of time, and that not one statistic concerning this pandemic – from cases to deaths to infection rates – can be believed

The full report can be read here