Johns Hopkins started self censoring this nearly immediately after posting it. Since we patently now live in a world populated by more or less literal political Commissars scanning the internet for ThoughtCrimes, this post itself may be taken down, or mislabeled as misleading or false.
But the problem is not the science: it is the POLITICS. It makes it very obvious that the crimes our governments are committing against us can’t be justified even on their face, which is the claim that they are “saving lives”.
Overall death rates in all categories are more or less the same. Those who would have died of the flu died of COVID. Those who would have had heart attacks in their early 40’s died of COVID.
NONE OF THIS MAKES SENSE. None of this, in my view, EVER made sense.
This is mass madness. This cannot–as I continue to demonstrate to the annoyance of some of you–be said often enough.
From the article: “Surprisingly, the deaths of older people stayed the same before and after COVID-19. Since COVID-19 mainly affects the elderly, experts expected an increase in the percentage of deaths in older age groups. However, this increase is not seen from the CDC data. In fact, the percentages of deaths among all age groups remain relatively the same.
“The reason we have a higher number of reported COVID-19 deaths among older individuals than younger individuals is simply because every day in the U.S. older individuals die in higher numbers than younger individuals,” Briand said.
Briand also noted that 50,000 to 70,000 deaths are seen both before and after COVID-19, indicating that this number of deaths was normal long before COVID-19 emerged. Therefore, according to Briand, not only has COVID-19 had no effect on the percentage of deaths of older people, but it has also not increased the total number of deaths.
These data analyses suggest that in contrast to most people’s assumptions, the number of deaths by COVID-19 is not alarming. In fact, it has relatively no effect on deaths in the United States.
This comes as a shock to many people. How is it that the data lie so far from our perception?”