New Lancet Article Suggests 50-75% of “Positive” PCR Tests Are Not Infectious People

PCRArjun Walia – PCR testing (polymerase chain reaction testing) has come under fire from numerous doctors, scientists, politicians and journalists since the beginning of this pandemic. Not everyone would know this if their only source of information was mainstream media however, as they’ve chosen not to cover the controversy surrounding it. This is not to say that PCR testing hasn’t been praised as a useful tool to determine a covid infection, but again, there are great causes for concern that aren’t really being addressed.

As far back as 2007, Gina Kolata published an article in the New York Times about how declaring pandemics based on PCR testing can end in a disaster. The article was titled Faith in Quick Test Leads to Epidemic That Wasn’t.  In July, professor Carl Heneghan, director for the centre of evidence-based medicine at Oxford University, an outspoken critic of the current UK response to the pandemic, wrote a piece titled “How many Covid diagnoses are false positives?” He has argued that the proportion of positive tests that are false in the UK could also be as high as 50%.

The Deputy Medical Officer of Ontario, Canada, Dr. Barbara Yaffe recently stated that COVID-19 testing may yield at least 50 percent false positives. This means that people who test positive for COVID may not actually have it. Former scientific advisor at Pfizer, Dr. Mike Yeadon,  argued that the proportion of positive tests that are false may actually be as high as 90%.

Furthermore, 22 researchers have put out a paper explaining why, according to them, it’s clear that the PCR test is not effective in identifying COVID-19 cases, and that as a result we may be seeing a significant amount of false positives. You can read more about that here.

These are simply a few of many examples from the recent past, and it’s concerning because lockdown measures and more are based on supposed positive “cases.”

Another concern recently raised comes from an article  published in The Lancet medical journal titled “Clarifying the evidence of SARS-CoC-2 antigen rapid tests in public health responses to COVID-19.”

In it, the authors explain that most people infected with COVID are contagious for approximately one week, and that “specimens are generally not found to contain culture-positive (potentially contagious) virus beyond day 9 after the onset of symptoms, with most transmission occurring before day 5.” They go on to explain:

This timing fits with the observed patterns of virus transmission (usually 2 days before to 5 days after symptom onset), which led public health agencies to recommend a 10-day isolation period. The sort window of transmissibility contrasts with a median 22-33 days of PCR positivity (longer with severe infections and someone shorter among asymptomatic individuals). This suggests that 50-75% of the time an individual is PCR positive, they are likely to be post-infectious.

Once SARS-CoV-2 replication has been controlled by the immune system, RNA levels detectable by PCR on respiratory secretions fall to very low levels when individuals are much less likely to infect others. The remaining RNA copies can take weeks, or occasionally months, to clear, during which time PCR remains positive.

They explain:

However, for public health measures, another approach is needed. Testing to help slow the spread of SARS-CoV-2 asks not whether someone has RNA in their nose from earlier infection, but whether they are infectious today. It is a net loss to the health, social, and economic wellbeing of communities if post-infectious individuals test positive and isolate for 10 days. In our view, current PCR testing is therefore not the appropriate gold standard for evaluating a SARS-CoV-2 public health test.

An article published in the British Medical Journal explains:

It’s also unclear to what extent people with no symptoms transmit SARS-CoV-2. The only test for live virus is viral culture. PCR and lateral flow tests do not distinguish live virus. No test of infection or infectiousness is currently available for routine use. As things stand, a person who tests positive with any kind of test may or may not have an active infection with live virus, and may or may not be infectious.

The relations between viral load, viral shedding, infection, infectiousness, and duration of infectiousness are not well understood. In a recent systematic review, no study was able to culture live virus from symptomatic participants after the ninth day of illness, despite persistently high viral loads in quantitative PCR diagnostic tests. However, cycle threshold (Ct) values from PCR tests are not direct measures of viral load and are subject to error.

Searching for people who are asymptomatic yet infectious is like searching for needles that appear and reappear transiently in haystacks, particularly when rates are falling. Mass testing risks the harmful diversion of scarce resources. A further concern is the use of inadequately evaluated tests as screening tools in healthy populations.

The UK’s testing strategy needs to be reset in line with the Scientific Advisory Group for Emergencies’ recommendation that “Prioritizing rapid testing of symptomatic people is likely to have a greater impact on identifying positive cases and reducing transmission than frequent testing of asymptomatic people in an outbreak area.”

The academics who published this paper are one of many explaining how another approach is needed, given the fact that PCR tests are the basis of lockdowns that might have already, and will kill more people than COVID itself, all for a virus with a 99.95% recovery rate for people under the age of 70. Many are in fact calling for the end of testing for asymptomatic people.

Michael Levitt, a medical professor at Stanford University and a Nobel Laureate for chemistry is one of many who has been emphasizing this:

“Getting tested right to avoid making more mistakes going forward [is crucial].” He writes, “very disturbing that PCR test can be positive for up to FIVE times longer than the time an infected person is actually infectious. Many implications.”

Rosamond A K Jones, a retired consultant paediatrician, and part of the Health Advisory & Recovery Team (HART) in Slough, UK, writes with regards to testing in UK schools:

If testing 5 million secondary school pupils twice a week, those 10 million tests would be expected to generate 30,000 false positives. These children would presumably all be sent home from school, with their 30 classmates, leading to almost a million children incorrectly out of school each week.

According to an article written by Robert Hagen MD, who recently retired from Lafayette Orthopaedic Clinic in Indiana:

By base rate fallacy/false positive paradox, if the specificity of a test is 95%, when used in a population with a 2% incidence of disease — such as healthy college students and staff — there will be 5 false positives for every 2 true positives. (The actual incidence of active COVID-19 in college age students is not known but estimated to be less than 0.6% by Indiana University/Fairbanks data. Even using a test with 99% specificity with a 1% population incidence generates 10 false positives for every 9 true positives.

Using the same test on patients with COVID-19 symptoms, because their incidence of disease is 50% or greater, the test does not have to be perfect. Even using a test with only 90% specificity, the number of false positives will be much less significant.

Another issue is with PCR testing is the cycle threshold. PCR seeks the genetic code of the virus from nose or throat swabs and amplifies it over 30–40 cycles, doubling each cycle, enabling even minuscule, potentially single, copies to be detected. I first learned about this when Elon Musk revealed he had completed four rounds of COVID-19 testing, tweeting that something “bogus” is going on because two of the tests came back false, and the other two came back positive.

He also mentioned he was “doing tests from several different labs, same time of day, administered by RN & am requesting N1 gene PCR cycle threshold. There is no official standard for PCR testing. Not sure people realize this.”

And therein lies the problem, something that the World Health Organization finally addressed recently. On January 13th the WHO published a memo regarding the problem of asymptomatic cases being discovered by PCR tests, and suggesting any asymptomatic positive tests be repeated. This followed up their previous memo, instructing labs around the world to use lower cycle thresholds (CT values) for PCR tests. The higher the cycle threshold the greater the chance for false positive rates.

Is this why case rates around the world have started to decline? It seems plausible since the same time cases dropped the WHO told labs to monitor the cycle thresholds which means false positives would reduce.

A Portuguese court has determined that the PCR tests used to detect COVID-19 are not able to prove an infection beyond a reasonable doubt, and thus determined that the detainment of four individuals was unlawful and illegal. In the Portuguese appeal hearing, Jaafar et al. (2020) was cited, explaining how a high CT is correlated with low viral loads.

“If someone is testing by PCR as positive when a threshold of 35 cycles or higher is used (as is the rule in most laboratories in Europe and the US), the probability that said person is infected is  <3%, and the probability that said result is a false positive is 97%.” (source)

The court further noted that the cycle threshold used for the PCR tests currently being made in Portugal is unknown. You can read more about that story here.

“Cases” Are The Basis of Lockdowns

The information above is indeed telling, because PCR tests are being used to justify lockdown measures and yet there is a huge amount of controversy and inaccuracy with them.

Professor Anna-Mia Ekström and Professor Stefan Swartling Peterson have gone through the data from UNICEF and UNAIDS, and came to the conclusion that at least as many people have died as a result of the restrictions to fight covid as have died of covid.

A study published by four medical professors from Stanford University has failed to find evidence supporting the use of what they call “Non-Pharmaceutical Interventions” (NPIs) like lockdowns, social-distancing, business closures and stay at home orders. According to the study, these measures have not been sufficient and are not sufficient to stop the spread of COVID and therefore are not necessary to combat the spread of the virus.

A group of doctors and scientists published an essay for the American Institute for Economic Research explaining and presenting the data as to why they believe lockdowns are not only harmful, but useless to combat COVID. In the essay they present a multitude of studies supporting the same conclusions found in the Stanford study cited above. You can read that here.

Lockdown harms were pondered early on in the pandemic, a report published in the British Medical Journal titled Covid-19: “Staggering number” of extra deaths in community is not explained by covid-19″  has suggested that quarantine measures in the United Kingdom as a result of the new coronavirus may have already killed more UK seniors than the coronavirus has during the months of April and May .

Bhattacharya, MD, PhD wrote an article  for The Hill titled “Facts, not fear, will stop the pandemic.” In it he points out a number of facts regarding the implications of lockdown measures, which also include that fact that:

Internationally, the lockdowns have placed 130 million people on the brink of starvation, 80 million children at risk for diphtheria, measles and polio, and 1.8 million patients at risk of death from tuberculosis. The lockdowns in developed countries have devastated the poor in poor countries. The World Economic Forum estimates that the lockdowns will cause an additional 150 million people to fall into extreme poverty, 125 times as many people as have died from COVID.

Is a Great Reset Really required? Or should we just go back to normal?  Even if we weren’t in a lockdown, should we still be questioning how we feel about our “normal.” You can dive into a deeper discussion about that here.

The Takeaway

The one thing that has many more people questioning their government with regards to COVID seems to be the fact that countless amounts of scientists, doctors, journalists and more are being heavily censored for sharing their information, data, research and opinions about COVID when they don’t fit within the accepted framework of mainstream culture.

For example, the Swedish government has said that it will strengthen laws on academic freedom after a leading Swedish academic announced that he was quitting his work on COVID-19 because of an onslaught of intimidating comments from people who disagreed or disliked his research findings. (source)  This is one of many examples, you can see more here.

Dr. Kamran Abbasi, former (recent) executive editor of the prestigious British Medical Journal, editor of the Bulletin of the World Health Organization, and a consultant editor for PLOS Medicine. He is editor of the Journal of the Royal Society of Medicine and JRSM Open recently published a piece in the BMJ, titled “Covid-19: politicisation, “corruption,” and suppression of science.” I reference this quite a bit in many of my articles so I apologize if you’ve come across it already.

Science is being suppressed for political and financial gain. Covid-19 has unleashed state corruption on a grand scale, and it is harmful to public health. Politicians and industry are responsible for this opportunistic embezzlement. So too are scientists and health experts. The pandemic has revealed how the medical-political complex can be manipulated in an emergency—a time when it is even more important to safeguard science. –

I say it in almost every article I write about COVID, should we not have the right to examine information openly and transparently and determine for ourselves what is and what isn’t? Why is it that someone like Dr. Anthony Fauci gets to make an appearance on television with instant virality anytime he desires, while other experts presenting opposing viewpoints are completely ignored? Can the mainstream media make the “consensus” or the majority seem like the minority and the minority seem like the majority?

How are we going to make sense of what is going on and make effective decisions about it all if we are not allowed to talk about certain ideas?

SF Source Collective Evolution Mar 2021

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