Normal death toll: Virus Threat A Hoax
The CDC website says the average US death totals since 2015 from all causes has remained unchanged so far in 2020. That means the huge numbers of reported COVID-19 deaths either never happened or they were deaths from other causes mislabeled as COVID-19. Hospital records show that almost all the COVID deaths were attributed to people with other medical condition. In New York, the 86%. of those who allegedly died of COVID-19, had other conditions that could have been the cause of death. The fact that the overall death rate did not increased proves that the pandemic is a hoax. [Incidentally, the same thing happened with the grossly false reporting of HIV deaths in Africa.] -GEG
Americans are faced with the following choice – continue to follow the government mandated lock down while watching their life savings erode (based on faulty projections and models regarding the China coronavirus) – or get back to work.
At the site Unconstrained Analytics, the Matrix is explained and today’s reaction to the China coronavirus as well:
Real science neither requires nor asks for assent. In contrast, pseudo-sciences, demand obedience to the narratives they propagate — even when these narratives conflict with hard science.
It’s time for America to wake up and look at the real numbers behind the China coronavirus. If we are truly experiencing a “historic” pandemic with unprecedented deaths then this should be obvious in the data. We should see our total deaths for the first four months of 2020 greatly exceed the previous years’ numbers where there was no pandemic, but this is not the case.
The CDC website indicates U.S. death totals for 2015 through 2020 for the first four months of the year average (Jan – Apr) to be at 921,603. This year the total deaths during this period were 944,251 which is slightly more than average but slightly less than the number of deaths in 2017 (Note – to obtain below data we summed up all deaths for weeks 1 through 16 for each year from the data in the CDC website):
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