Former Chief Science Officer for MAJOR Pharmaceutical Giant Blows the Whistle on Covid

Dr. Mike Yeadon might not be savaged quite so hard by the media for stating something about COVID that’s against the fear narrative. Might. The survival rate mirrored the flu when we had numbers 6-8 weeks in. It still does. The virus is similar to the common cold which circulates every year but we don’t close down the United States for that or the flu. They’re all viruses. Some already have immunity from COVID based on previous viruses.

We now have six months of COVID facts

Some are in spite of political manipulation. Dr. Mike Yeadon, the former Pfizer Chief Science Officer says there’s “there is no science to suggest a second wave should happen.” “Almost all” of the latest tests are false positives.

He thinks the pandemic is essentially over, herd immunity has been reached. “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.”

COVID has been called a “scamdemic”

The CDC website itself has admitted only 6% of that 183,000 people died from COVID alone. The remainder died from something else but just happened to have COVID at the same time.

The death rates rose in late March to late April. That line has been flattened since the end of June and it continues that way. But the media is enjoying the eyes and fear.

COVID survival is actually very high

It’s 99.8% which is similar to the flu. It’s far higher than original grim estimates. In a scientific paper that Yeadon and two colleagues wrote, “There are at least four well characterised family members (229E, NL63, OC43 and HKU1) which are endemic and cause some of the common colds we experience, especially in winter. They all have striking sequence similarity to the new coronavirus.”

Due to previous illnesses, many people already have immune T cells. “A major component our immune systems is the group of white blood cells called T-cells whose job it is to memorise a short piece of whatever virus we were infected with so the right cell types can multiply rapidly and protect us if we get a related infection. Responses to COVID-19 have been shown in dozens of blood samples taken from donors before the new virus arrived.”

The authors of “How likely is a Second Wave?” had to back down a lttle once the idea that maybe some people had immunity was brought up. “It is now established that at least 30% of our population already had immunological recognition of this new virus, before it even arrived…COVID-19 is new, but coronaviruses are not.”

Any COVID second wave isn’t based on fact

A Boston lab was suspended after 400 false positive tests were found. One of the tests is a PCR test. It stands for polymerase chain reaction and it detects the virus’ genetic material. It could just be a dead piece that isn’t transmittable and can’t make anybody sick. The MedRXiv website states that, “data on PCR-based tests for similar viruses show that PCR-based testing produces enough false positive results to make positive results highly unreliable over a broad range of real-world scenarios.”

This test has been famously proven wrong when the President of Tanzania sent samples to a lab that came from two animals and a piece of fruit. They all came back positive.

A coronavirus second wave would be abnormal

Both SARS in 2003 and and MERS in 2012 started from unique events months apart in different areas of the world. Dr. Yeadon and colleagues said of MERS, “it is actually multiple single waves affecting geographically distinct populations at different times as the disease spreads. In this case the first major peak was seen in Saudi Arabia with a second peak some months later in the Republic of Korea. Analysed individually, each area followed a typical single event…”

The Spanish flu was entirely different. It wasn’t a coronavirus. People aren’t taking into account the unsanitary conditions of World War I.

COVID predictor Professor Neil Ferguson

Nobody knows why his draconian model was chosen to base world closure on. Suffice it to say Dr. Yeadon doesn’t think well of him and neither do many in that community.

“No serious scientist gives any validity to his model” and “It’s important that you know most scientists don’t accept that it [Ferguson’s model] was even faintly right…but the government is still wedded to the model,” Yeadon said.

Professor Ferguson said Sweden’s death toll would be 100,000 by June and they didn’t lock down. Sweden’s death count is now 5800 which equates to a mild case of the flu.

1 comment
  1. There are almost as many differing predictions of what covid-19 will do as there are “expert scientists” making predictions. I will not even pretend to be any kind of expert, but I have read the predictions of almost all of these experts and when I do I get the same sinking feeling as I get when I read about anthropogenic global warming. Both of these areas of “science” have in common that there are as many answers as there are scientists studying the issue. The global warming people have come up with a novel scientific solution-they take all of the computer predictions, all of which are totally wrong, and average them and use the average prediction as gospel (a real scientist-like Einstein-is spinning in his grave at the notion that the average of twenty wrong answers will be right). I suppose epidemiologists who study covid could use a similar schema to predict how covid will act-take the average of all the really wrong answers generated and use that as your prediction. I’ll probably be sorry I even suggested such a thing in jest, because they’ll probably be using it soon.

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