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Maine CDC Confirms:
COVID-19 Numbers Being Rigged to
Produce Artificially Higher Death Ratios
By: David Deschesne
Fort Fairfield Journal, April 1, 2020
Many Americans are being unduly worried over the fatality rate from COVID-19, which officially stands at around 1.8%. But, it could be much lower. By only factoring in those select high risk individuals who have been tested for the virus, and omitting low risk and mild cases, the death ratio number is being skewed higher than it really is.
At this point, the active COVID-19 case numbers only include people with high potential viral exposure, such as healthcare workers, or patients with severe symptoms and potentially bad outcomes. By only using this segment of the population, the death rate will be biased artificially higher than it would be if all cases were factored in.
That this numbers-skewing tactic is being used in Maine was, perhaps unwittingly, confirmed by Dr. Nirav Shah, director of the Maine CDC. In a webcast press conference on March 31, Dr. Shah said up to this point they had been prioritizing tests on the “highest risk” individuals and have been holding on to the samples from the “lower risk” individuals.
“These are samples that have been waiting at our laboratories but, because of our focus on the highest risk individuals, have not yet been tested,” said Dr. Shah. “As of right now that number stands at 600 tests; these represent individuals that were in the lowest risk category. As of right now, [for] individuals in the highest risk category - individuals hospitalized, healthcare workers, or folks from congregate settings - there is no backlog of tests at the Maine State lab in Augusta.”
When factoring in all of the people who actually have, or have had, the COVID-19 virus - which may be impossible data to obtain at this point - and considering most of them do survive, the death rate could plummet to well below one percent. Some estimates put it as low as 0.45%
Fiddling with the numbers is not being done just in Maine; this gaming of numbers is being done by nearly every State in the U.S. and other countries around the world, thus creating false data other governments rely on to make decisions.