"Pandemic is Over" - Former Pfizer Chief Science Officer Says "Second Wave" Faked On False-Positive COVID Tests https://www.zerohedge.com/medical/pandemic-over-former-pfizer-chief-science-officer-says-second-wave-faked-false-positive
[most pertinent extrapolated portions, with charts]
Dr. Michael Yeadon is an Allergy & Respiratory Therapeutic Area expert with 23 years in the pharmaceutical industry. He trained as a biochemist and pharmacologist, obtaining his PhD from the University of Surrey (UK) in 1988.
Dr. Yeadon then worked at the Wellcome Research Labs with Salvador Moncada with a research focus on airway hyper-responsiveness and effects of pollutants including ozone and working in drug discovery of 5-LO, COX, PAF, NO and lung inflammation. With colleagues, he was the first to detect exhaled NO in animals and later to induce NOS in lung via allergic triggers.
Joining Pfizer in 1995, he was responsible for the growth and portfolio delivery of the Allergy & Respiratory pipeline within the company. He was responsible for target selection and the progress into humans of new molecules, leading teams of up to 200 staff across all disciplines and won an Achievement Award for productivity in 2008.
Under his leadership the research unit invented oral and inhaled NCEs which delivered multiple positive clinical proofs of concept in asthma, allergic rhinitis and COPD. He led productive collaborations such as with Rigel Pharmaceuticals (SYK inhibitors) and was involved in the licensing of Spiriva and acquisition of the Meridica (inhaler device) company.
Dr. Yeadon has published over 40 original research articles and now consults and partners with a number of biotechnology companies. Before working with Apellis, Dr. Yeadon was VP and Chief Scientific Officer (Allergy & Respiratory Research) with Pfizer.
Chief Science Officer for the pharmaceutical giant Pfizer says "there is no science to suggest a second wave should happen." The "Big Pharma" insider asserts that false positive results from inherently unreliable COVID tests are being used to manufacture a "second wave" based on "new cases.”
Yeadon said in the interview:
"Were it not for the test data that you get from the TV all the time, you would rightly conclude that the pandemic was over, as nothing much has happened. Of course people go to the hospital, moving into the autumn flu season...but there is no science to suggest a second wave should happen."
In a paper published this month, which was co-authored by Yeadon and two of his colleagues, "How Likely is a Second Wave?", the scientists write:
"It has widely been observed that in all heavily infected countries in Europe and several of the US states likewise, that the shape of the daily deaths vs. time curves is similar to ours in the UK. Many of these curves are not just similar, but almost super imposable."
In the data for UK, Sweden, the US, and the world, it can be seen that in all cases, deaths were on the rise in March through mid or late April, then began tapering off in a smooth slope which flattened around the end of June and continues to today. The case rates however, based on testing, rise and swing upwards and downwards wildly.
Media messaging in the US is already ramping up expectations of a "second wave."
The survival rate of COVID-19 has been upgraded since May to 99.8% of infections. This comes close to ordinary flu, the survival rate of which is 99.9%. Although COVID can have serious after-effects, so can flu or any respiratory illness. The present survival rate is far higher than initial grim guesses in March and April, cited by Dr. Anthony Fauci, of 94%, or 20 to 30 times deadlier. The Infection Fatality Rate (IFR) value accepted by Yeadon et al in the paper is .26%. The survival rate of a disease is 100% minus the IFR.
Yeadon's warnings are confirmed by a new study from the Infectious Diseases Society of America., summarized succinctly in the following twitter thread from al gato malo (@boriquagato)
Anyone still presuming that a Positive PCR test is showing a COVID case needs to read this very carefully:
- even 25 cycles of amplification, 70% of "positives" are not "cases." virus cannot be cultured. it's dead.
- by 35: 97% non-clinical.
- the US runs at 40, 32X the amplification of 35.
a lot of people still seem to not understand what this means, so let's lay that out for a minute.
PCR tests look for RNA. there is too little in your swab. so they amplify it using a primer based heating and annealing process.
Each cycle of this process doubles the material
the US (and much of the world) is using a 40 Ct (cycle threshold). so, 40 doublings, 1 trillion X amplification.
This is absurdly high.
The way that we know this is by running this test, seeing the Ct to find the RNA, and then using the same sample to try to culture virus.
If you cannot culture the virus, then the virus is "dead." it's inert. if it cannot replicate, it cannot infect you or others. it's just traces of virus, remnants, fragments etc
PCR is not testing for disease, it's testing for a specific RNA pattern and this is the key pivot
When you crank it up to 25, 70% of the positive results are not really "positives" in any clinical sense.
i hesitate to call it a "false positive" because it's really not. it did find RNA.
but that RNA is not clinically relevant.
It cannot make you or anyone else sick
so let's call this a non-clinical positive (NCP).
- if 70% of positives are NCP's at 25, imagine what 40 looks like. 35 is 1000X as sensitive.
- this study found only 3% live at 35
- 40 Ct is 32X 35, 32,000X 25
no one can culture live virus past about 34 and we have known this since march. yet no one has adjusted these tests.
This is more very strong data refuting the idea that you can trust a PCR+ as a clinical indicator.
That is NOT what it's meant for. at all.
The FDA would never do it, the drug companies doing vaccine trials would never do it... it's because it's nonsense.
And this same test is used for "hospitalizations" and "death with covid" (itself a weirdly over inclusive metric)
PCR testing is not the answer, it's the problem.
It's not how to get control of an epidemic, it's how to completely lose control of your data picture and wind up with gibberish and we have done this to ourselves before.
We're basing policy that is affecting billions of humans on data that is uninterpretable gibberish.
It's a deranged technocrat's wet dream, but for those of us along for the ride, it's a nightmare.
Testing is not the solution, it's the problem.