Go here for another excellent read on how for a 5% prevalence rate for COVID infections in a population, the 42% false positive discovery rate means that for every 50 true positives, there will be 36 false positives. Ponder that for a moment.
COVID cases will be overstated by a factor of 72%
Due to unreliable of PCR tests:
There are no credible COVID-19 ‘vaccine’ trial data.
Science, Public Health Policy & the Law has Accepted Dr. Sin Hang Lee’s Study of the Flaws of Non-Quantitative RT-PCR for SARS-CoV-2 Detection – Part 1
Sanger Sequencing Provides Definitive Evidence that RT-PCR Use with No Internal Control Applied to the Problem of Diagnosis of COVID-19 is Fatally Flawed
When the German team (Cormen et al. (aka “Drosten Report”)) published primers capable of detecting synthetic oligonucleotide that matched parts of the SARS-CoV-2 genome sequence published from the first clinical sample from the first patient diagnosis of pneumonia associated with a novel coronavirus, there was hope that the virus might be controlled at least until healthcare facilities could be made ready using the training and preparations they conducted during the Ebola care of 2014.
The use of PCR to detect specific sequences is trivially non-controversial, if it is done in an expert manner. First, the primers are chosen computationally to match only the target species (or quasi-species, in the case of viruses). Second, multiple targets can be selected that help nail down the results in case one of the single. Finally, if the primers are nested or hemi-nested – that is if the targets sequences overlap, a local sequence can reliably be determined on a percentage of the samples as a direct gold-standard check to estimate both the true positive rate (the probability of detecting a virus that is truly present) and the false positive rate (the probability of detecting the target when it is truly not present).
I expected when CDC’s PCR test failed that there would likely be a variety of approaches that would be developed by commercial nucleic acid technology companies. I started advocating for private mass testing, with an emphasis on “private”, expecting that accurate testing would emerge.
I was astonished when I saw that the FDA had only requested that commercial suppliers provide data on the true positive rate, but no data on the false positive rate. Worse, I was astonished to learn, upon reading the documents being submitted to the FDA, that the test kit manufacturers were not including positive control sample material to allow the determination of cycle threshold (Ct) by which one makes the call for a given patient that the virus was present or absent. Cycle thresholds are the number of rounds of amplification necessary to reach a specific point in the exponential growth of the number of copies of target sequences. This must be done for each patient separately – even if the test is the same kit done in the same lab, on the same day, by the same technician – because the amount of starting material in each swab varies.
This was the first time I had ever seen any RT-PCR-based test NOT use a positive control sample. The lack of a positive control sample means that the assay was qualitative, not the robust and rigorous qRT-PCR (“q” stands for “quantitative”. For example, even the RT-PCR test for the Monkeypox virus uses a positive control sample.
Instead of using empirically derived Ct values per patient, generic Ct values were used. These were part of the kits, but they were not published. This was unusual. I asked medical freedom activists to request from their local health department what Ct values were being used to determine a diagnosis for a patient. Multiple people did, and the reply was the same: that information is proprietary. This was ridiculous; the exact Ct being used is not a top-secret part of a test, but is, instead, an essential aspect of checking the reliability of the results of an RT-PCR test.
Go to top link for a video on RT-PCR.
The absence of a positive control target sample was a big deal because, without any data on whether tests were hitting human sequences via off-target amplification, many people would be “diagnosed” with COVID-19 who were not infected. This would not only be disruptive – the resulting huge numbers of false positives could be used to justify police actions as was going on in China at the time.
Further, people who had other respiratory illnesses like influenza, respiratory syncytial virus, bacterial pneumonia, the common cold, or other coronaviruses might not be given appropriate medical care given the isolate-and-do-nothing approach to COVID-19. Many would die from severe pneumonia that could have been prevented via medical intervention, just as antibiotics for bacterial pneumonia.
Also, it was clear that many people who were sick but did not have COVID-19 would believe thereafter they were immune, and they might risk exposures that they otherwise might not risk.
In addition, those that did then become infected after their false positive COVID-19 test might then doubt their actual case of SARS-CoV-2 infection was worth testing for and they might fail to protect others who were at the highest risk of death from COVID-19 infection – the immunocompromised and the elderly.
So I wrote to the FDA with my concerns. Dr. Peter Marks wrote back with a terse “Thank you, we will take your concerns up with my team”.
At the same time, Dr. Sin Hang Lee independently saw the same issues and was motivated to develop a Sanger sequencing-based test. His approach circumvented the risk of false positives altogether by using primer pairs that targeted parts of the SARS-CoV-2 genome in an overlapping mapper. This way, he could tell if he truly had the sequence of interest in a sample, or if one of the primer pairs was failing due to a mutation in the primer site.
Dr Sin Hang Lee in his laboratory in Milford, CT.
Dr. Lee is an extremely capable and experienced scientist and is an expert in molecular diagnosis and diagnostic pathology. The fact that he independently came to the same conclusion as I did on the risks of using RT-PCR the way CDC, ultimately, FDA allowed under emergency use authorization gave me hope.
July 2020 WWDNYK’s Unbreaking Science: CDC PCR Test Wrong 1/4 of the Time
See top link for a video from about the time I contacted FDA (Nov 2020).
After writing various blog articles and doing podcasts attempting to alert the public and health departments to these very serious issues, I was invited to testify in a case in Pennsylvania wherein a restauranteur was sued by the Commonwealth for not following the public health dictates regarding her customers.
Originally, the testimony was meant to be written. So I provided the judge with the scientific literature on measured false positive rates of the RT-PCR tests. There were about four studies that provided data that demonstrated that the false positive rates varied from 11% (Basile et al.) to as high as 38% (the Duke Marines study).
The State Epidemiology submitted her testimony at the same time, without seeing mine. (I did not see hers, either). When I was given a copy of her testimony, I could see she knew nothing about the state of the science on the use of RT-PCR as allowed by CDC and PCR. She reported to the judge in her written testimony that RT-PCR tests for COVID-19 had – get this – ZERO false positives.
That’s when the judge, for reasons I will never understand, refused both sets of written testimony, and instead decided that only verbal testimony was going to be allowed. Of course, the State’s lawyer used the only tool they had – ad hominem attack – to try to discredit me. But even that didn’t change the fact that RT-PCR tests were visiting abuse on the public via false positives as outlined above.
A group of people became increasingly aware of the issues, and together we created NAATEC, the Nucleic Acid Assay Technology Evaluation Consortium – to collect public funds and fund the comparison of RT-PCR testing to Sanger sequencing.
I am happy to report that we thereby funded research by independent research scientist Dr. Sin Hang Lee to conduct the evaluation that FDA should have required by PCR test kit manufacturers.
The study underwent a single-blind peer review with two independent reviewers not involved in the study. The peer reviewers were scientists and experts in the field. After two rounds of feedback from the reviewers, the manuscript was accepted for publication and is with the editorial production team.
Prior to publication, I am providing the title, author, and Abstract.
Evidence-Based Evaluation of PCR Diagnostics for SARS-CoV-2 and the Omicron Variants by Sanger Sequencing
Dr. Sin Hang Lee
Abstract: Both SARS-CoV-2 and SARS-CoV-1 initially appeared in China and spread to other parts of the world. SARS-CoV-2 has generated a COVID-19 pandemic causing more than 6 million human deaths worldwide while the SARS outbreak quickly ended in six months with a global total of 774 reported deaths. One of the factors contributing to this stunning difference in the outcome between these two outbreaks is the inaccuracy of the RT-PCR tests for SARS-CoV-2, which generated a large number of false-negative and false-positive test results that have misled patient management and public health policymakers. This article presented Sanger sequencing evidence to show that the RT-PCR diagnostic protocol established in 2003 for SARS-CoV-1 can in fact detect SARS-CoV-2 accurately due to the well-known ability of the PCR to amplify similar, homologous sequences. Using nested RT-PCR followed by Sanger sequencing to retest 50 patient samples collected in January 2022 and sold as RT-qPCR positive reference confirmed that 21 (42%) were false-positive. Routine sequencing of the RT-PCR amplicons of the receptor-binding domain (RBD) and N-terminal domain (NTD ) of the Spike protein (S) gene is a tool to avoid false positives and to study the effects of amino acid mutations and multi-allelic SNPs in the circulating variants for investigation of their impacts on vaccine efficacies, therapeutics. and diagnostics.
The study was partially funded by IPAK via the NAATEC. To support research like this, visit http://ipaknowledge.org/
Watch for Part 2 at the end of the month – the details of the study will be explained.
Dr. Lee is an unsung hero who has been outspoken many times against medical injustice:
- https://madisonarealymesupportgroup.com/2018/05/15/news-release-on-57-1-million-lyme-disease-lawsuit-filed-against-cdc/ Dr. Sin Hang Lee has sued the CDC for suppressing direct detection tests for Lyme disease, and promoting their own newly patented, unproven metabolomics technology for diagnosis of LD. Current and former CDC representatives receive royalties as a result of working on the approval and promotion/CDC endorsement of a Lyme disease serology test.
- https://madisonarealymesupportgroup.com/2018/09/26/cdc-resorts-to-politically-motivated-false-science/ Dr. Lee’s 16S rRNA gene sequencing was able to accurately detect early infection before antibody production.
- https://madisonarealymesupportgroup.com/2018/09/29/shocking-flaws-in-gardasil-trial-design-prevents-safety-assessment/ Lee confirmed the presence of HPV-16 L1 gene DNA in the girl’s post-mortem blood and spleen tissue — the same DNA fragments found in the vaccine. According to Lee, the fragments were protected from degradation by binding to the aluminum adjuvant used in the vaccine. He suggested their presence might offer a plausible explanation for the high immunogenicity of Gardasil, meaning that the vaccine tends to provoke an exaggerated immune response. He pointed out that the rate of anaphylaxis in girls receiving Gardasil is far higher than normal — reportedly five to 20 times higher than any other school-based vaccination program. Also, According to Lee, vaccines target 70% of HPV strains (though new version targets more strains), and if vaccines were 100% effective, ONE death would be prevented out of 100,000 vaccinated women; 1.3 with newer versions. Cost to vaccinate 1 girl is about $700. $350 for vaccine & $350 for doctor visit. Cost to vaccinate 100,000 girls is approximately $70 million.