- THE BLAZE - Nov 30, 2020 -
Daniel Horowitz -
If data analysis is insensitive or appears to 'trivialize' a pandemic, does it make the research false?
If data analysis is insensitive or appears to "trivialize" a pandemic, does it make the research false? The arguments of the lockdown and mask totalitarians are so fickle that they must resort to unprecedented censorship in order to win the day. Their views cannot coexist with any trace of dissent on the internet, which is why Johns Hopkins University, which has become a lead advocate for lockdowns, is evidently now censoring its own faculty in academic research.
Last week, the Johns Hopkins News-Letter, a student newspaper, posted an article by Yanni Gu titled, "A closer look at U.S. deaths due to COVID-19." It was based on an analysis conducted by Dr. Genevieve Briand, an economics teacher at Hopkins. I originally saw the article on Thanksgiving morning and quickly saw this very catchy conclusion. "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."
When I clicked on it Thursday night, the link was dead. Then I saw that the Twitter account for the Hopkins News-Letter announced that it had been deleted: