PCR-Based Covid Testing Has Failed
An epidemic is defined as the wide spread of an infectious disease. The final letter of Covid is ‘D’ for ‘disease’.
A disease requires symptoms. Public Health England’s National COVID-19 case definition required the presence of symptoms. Somehow symptoms have become irrelevant. We are now chasing down the healthy, immune population who are being over-tested. This includes those in hospital with other symptoms and for other reasons. If we tested for influenza in the same way and with the same implications, we would have to lock down every winter.
A false positive pseudo-epidemic is a well described phenomenon in the medical literature which results in an exponential rise in diagnosed cases and deaths but no excess deaths.
PCR testing is renowned for it and the “second wave” of Swine Flu in 2009 was entirely a false positive pseudo-epidemic only stopped by stopping the testing. SAGE have been focused on the constant low false positive rate of the testing equipment but the false positive rate of the whole testing process is variable and can rise.
2) The tests are not measuring the disease.
It is nonsense to rely simply on positive test cases without requiring the presence of symptoms to define the scale of the epidemic. However, if positive tests are to be used, determination of the test accuracy rate is absolutely essential (especially the false positive rate). These should be independently determined. This work must be current to assess the current rates. Those defending the tests claim they have been quality checked by the use of “whole genome sequencing” – but that test has never been used as a diagnostic test in this way either, so it’s like using one unvalidated process to validate another.
(The final page of this briefing provides some more background on why even an apparently low FPR can be so misleading.)
Symptom trackers, NHS triage data and GP consultation data all show that patients attending with Covid like conditions back to background levels; yet positive test results continued to rise during this time. This strongly implies that the test results are picking up largely false positives.
Using a figure of 2% for FPR, a 20% false negative rate, and incidence in the population of 0.5%,
around 83% of all positive tests results would be misdiagnoses.
This document has been authored by:
Clare Craig BM BCh FRCPath (clare.craig@gmail.com)
Jonathan Engler MBChB LLB (jengler@outlook.com)
Mike Yeadon BSc Hons (Biochem-tox) PhD (Pharmacol) (yeadon_m@yahoo.co.uk)
Christian McNeill LL.B and Dip LP (christian.mcneill@icloud.com)
https://lockdownsceptics.org/pcr-bas...has-failed-us/