UPDATE (11:20 AM, Mountain Time): This entry has been even further edited to remove anything that could even remotely be labeled as "political."
The following are just a few quotes from a very long article by Dr. Michael Yeadon of the U.K.:
20 September 2020
by Dr. Michael Yeadon
Dr. Mike Yeadon is the former CSO and VP, Allergy and Respiratory Research Head with Pfizer Global R&D and co-Founder of Ziarco Pharma Ltd.
[…]
We now know that lockdown made no difference at all to the spread of the virus. We can tell this because the interval between catching the virus and, in those who don’t make it, their death is longer than the interval between lockdown and peak daily deaths. There isn’t any controversy about this fact, easily demonstrated, but I’m aware some people like to pretend it was lockdown that turned the pandemic...
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As there is no foundational, medical or scientific literature which tells us to expect a ‘second wave’, I began to pay more attention to the phrase as it appeared on TV, radio and print media – all on the same day – and has been relentlessly repeated ever since. [...] Surely they have some evidence? [...] I searched — and am very qualified to do so —, drawing on academic friends, and we were all surprised to find that there is nothing at all.
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A person’s sample can be positive if they have the virus, and so it should. They can also be positive if they’ve had the virus some weeks or months ago and recovered.
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Because of the high false positive rate and the low prevalence, almost every positive test — a so-called "case" — identified by Pillar 2 since May of this year has been a FALSE POSITIVE. Not just a few percent. Not a quarter or even a half of the positives are FALSE, but around 90% of them. Put simply, [there] is an overestimate by a factor of about ten-fold. Earlier in the summer, it was an overestimate by about 20-fold.
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…What is the probability a person testing positive in Pillar 2 actually has COVID-19? The awful answer is 11% (10 divided by 80 + 10). The test exaggerates the number of covid-19 cases by almost ten-fold (90 divided by 10). [...] That daily picture they show you, with the ‘cases’ climbing up on the right-hand side? It's horribly exaggerated.
[…]
…The Pillar 2 test will find half as many real cases from our notional 10,000 volunteers, so 5 real cases. But the flaw in the test means it will still find 80 false positives (0.8% of 10,000). So its even worse. The headline would be “85 new cases identified today”. But now the probability a person testing positive [actually] has the virus is an absurdly low 6% (5 divided by 80 + 5). Earlier in the summer, this same test exaggerated the number of COVID-19 cases by 17-fold (85 divided by 5). It's so easy to generate an apparently large epidemic this way. Just ignore the problem of false positives. Pretend its zero. But it is never zero.
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The likelihood of an apparently positive case being a false positive is between 89-94%, or near-certainty.
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The cases in summer and at present, generated by seriously flawed Pillar 2 tests, should be corrected downwards by around ten-fold.
I do believe genuine cases are rising somewhat. This is, however, also true for flu, which we neither measure daily nor report on every news bulletin. If we did, you would appreciate that, going forward, it is quite likely that flu is a greater risk to public health than COVID-19.
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There are very serious consequences arising from grotesque over-estimation of so-called cases in Pillar 2 community testing...