Second wave invented? 90% of the "infected" according to researchers false positive
translated by Corona InvestigativeEX-RESEARCH MANAGER AT PFIZER

Pfizer is one of the largest pharmaceutical companies in the world. It is currently conducting a large vaccination study in Germany, in which 30,000 people are participating. Now the former head of research at Pfizer, Dr. Mike Yeadon, has made a remarkable statement about the corona virus.
Dr. Mike Yeadon was Head of Research and Vice President of the Pfizer Group. Now he took a stand on the corona situation in a radio interview. His thesis shakes up: 90% of positive PCR tests are false positive, he explains.
Second wave artificially tested
"There is no scientific basis for the fact that a second wave would occur," Mike Yeadon explains in an interview. Rather, the governments referred to the positively tested cases. Governments are well aware that the PCR tests are not conclusive, the researcher says.
"Virtually all positive test results are false-positive," about 90% of positive PCR test results are said to be false. Only thereby a "second wave" is artificially tested.
Everything is based on wrong data
The journalist Julia Hartley-Brewer asks Yeadon: "We rely on a government policy, an economic policy, a policy of civil liberties to limit the number of people in a meeting to six. Everything is based on possibly completely falsified data on this coronavirus?" Dr. Mike Yeadon responded to this with a simple "yes", but for many all the more disturbing "yes".
Study: Great Britain has it behind it
Dr. Yeadon published a study this week in which he and two colleagues examined the situation in the UK. It also deals with the question: "How probable is a second wave?" In the study, the researchers conclude that Great Britain has largely overcome the corona virus. It can be assumed that the majority of the population is already immune. In it, Yeadon and his colleagues call on research to focus more on evidence-based medicine than on highly sensitive theoretical models based on assumptions and unknowns.
Translated Version - Original here
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