The Facts:Ronald B. Brown, Ph.D., from the University of Waterloo in Ontario, Canada says, based on his research, that the coronavirus fatality rates we were/are given represents “Worst Miscalculation in Human History.”
Reflect On:Why do perspectives and evidence that are presented in this article never see the light of day in big media? Why are we beamed with a specific perception/narrative when so much other information and data clearly opposes it?
What Happened: Ronald B. Brown, Ph.D., from the School of Public health and Health Systems at the University of Waterloo, Canada, recently stated that the COVID-19 fatality rate is the “worst miscalculation in the history of humanity.” Brown is currently completing his second doctorate degree this time in epidemiology at the University of Waterloo.
Not long ago, Brown published a paper in Disaster Medicine and Public Health Preparedness, titled “Public health lessons learned from biases in coronavirus mortality overestimation.”
In the paper he provides data and information he collected from his research, he compared informational texts from the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC) to data from independent scientists and Congressional testimony. He states that “Results of this critical appraisal reveal information bias and selection bias in coronavirus mortality overestimation, most likely caused by misclassifying an influenza infection fatality rate as a case fatality rate.”
Below is a statement Brown recently gave to John C. A. Manley, a journalist who was the first to cover the story:
“The subject of this article is disruptive, to say the least, although it is not as obvious from the title. The manuscript cites the smoking-gun, documented evidence showing that the public’s overreaction to the coronavirus pandemic was based on the worst miscalculation in the history of humanity, in my opinion. My manuscript underwent an intensive peer-review process. You are the first media guy who has responded to my invitation”.
Dr. Brown added that CDC and WHO documents show that the case fatality rate for influenza was similar to the coronavirus, implying that the lockdowns were pointless. His paper questions why the 2017-2018 influenza season in the United States did not “receive the same intensive media coverage as COVID-19.”
He points out that “the accuracy of coronavirus tests rushed into production during the pandemic were unknown.” And he explores how the media began focusing on an increase in coronavirus cases while ignoring the decrease in death rates.
The Bulgarian Pathology Association has taken the stance that the testing used to identify the new coronavirus in patients is “scientifically meaningless.”