COVID-19 second wave is just fake, former Chief Science Officer for the pharmaceutical giant Pfizer claims.
Dr. Mike Yeadon, a former Vice President for Pfizer, says half or even 'almost all' of COVID-19 tests are false positives.
The 'Big Pharm' insider asserts that governments are using false-positive results from inherently unreliable COVID tests to manufacture a 'second wave.'
'Governments Are Using a Covid-19 Test with Undeclared False Positive Rates'
In a recent interview, Yeadon said that government, economic, and civil liberties policies are based entirely on FAKE data.
He added that the 'pandemic is fundamentally over.' He based the conclusion on indicators in a worldwide pandemic, such as hospitalizations, ICU utilization, and deaths.
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.
Of course, people go to the hospital, moving into the autumn flu season. However, there is no science to suggest a second wave should happen.
How Likely is a Second Wave?
Yeadon and his colleagues recently wrote a research paper titled, How Likely is a Second Wave?
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 [that in] the UK.
Many of these curves are not just similar but almost superimposable.
The Researchers Also Claim COVID-19 Is Not Entirely Novel
Yeadon points out that the 'novel' COVID-19 contagion is novel only because it's a new type of coronavirus.
He argues that there are presently four strains that circulate freely throughout the population. These strains are often linked to the common cold.
There are at least four well-characterized family members who are endemic and cause some of the common colds we experience, especially in winter. They all have striking sequence similarity to the new coronavirus.
Yeadon joins other scientists in criticizing governments for following Ferguson's model, the assumptions on which most worldwide lockdowns are based on.
One of these scientists, Dr. Johan Giesecke, called Ferguson's model 'the most influential scientific paper,' and also 'one of the most wrong.'
It was Ferguson's model that held that 'mitigation' measures such as social distancing and business closures are necessary to prevent millions from dying of COVID-19.
Ferguson also predicted that Sweden would pay a terrible price for no lockdown, with 40,000 COVID deaths by May and 100,000 by June.
However, as of mid-October, Sweden's death count was under 6,000.
Though initially higher, Sweden now has a lower death rate than in the US or UK. And it's achieved without terrific economic damages still ongoing in the US and UK.
Note that Sweden never closed restaurants, bars, sports, most schools, or movie theaters. And the government never ordered people to wear masks.