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Daniel Horowitz

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Danish Newspaper Reveals Largest Study on Masks has been Rejected by Three Medical Journals

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Why not just conduct a randomized controlled trial to test whether masks work against COVID-19? Why assume such a draconian and dehumanizing mandate works as if it's an article of faith and create such division when we can discover which side is correct? That's what a group of Danish researchers felt, which is why, over the spring, they conducted such a study. So why have the results not been published, three months later? According to one Danish newspaper, the study has been rejected by three medical journals because the results are too controversial.

Berlingske, Denmark's oldest operating daily newspaper, published an article on Thursday titled, "Professor: Large Danish mask study rejected by three top journals" (translation from Google translate), which finally reveals the mystery of the disappearing Danish mask study.

"The researchers behind a large and unique Danish study on the effect of wearing a mask even have great difficulty in getting their research results published," wrote the Berlingske in the subtitle. "One of the participating professors in the study admits that the still secret research result can be perceived as 'controversial'."

The article reveals that, thus far, the study has been rejected by the Lancet, the New England Journal of Medicine, and the American Medical Association's journal JAMA, three of the publications that have been posting much of the research on coronavirus.
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Horowitz: Thousands of Cases but ZERO Hospitalizations in Colleges: This is GOOD News. But States and Colleges Force Draconian Lockdowns

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Remember the goal of flattening the curve? Ensuring that hospitals weren’t overrun? Well, what do you call a scenario where thousands of cases result in zero hospitalizations? I’d call it the ultimate flat curve – or downright flat line. Yet rather than recognizing the detection of mild cases among college students as portents of good news, universities continue to sow panic for no good reason.

If we had in place the strict eligibility threshold for COVID-19 testing that we had in March when tests were scarce, we quite literally would not know the “epidemic” of mild and asymptomatic cases on college campus even exists. After being open for weeks, college campuses have no reported deaths or even hospitalizations that I can find. You might say that’s because they’ve done such an amazing job preventing cases. Nope: They have tons of reported cases. Dr. Andrew Bostom, a cardiovascular and epidemiology researcher, posted a spreadsheet on twitter of all the cases in 17 state university systems as of September 4.

There is not a single hospitalization among them. How is this an emergency situation? If anything, the fact that there are so many cases is a blessing, because, with such a young population, these cases are a de facto vaccine, creating herd immunity without danger.
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The CDC confirms remarkably low coronavirus death rate. Where is the media?

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Most people are more likely to wind up six feet under because of almost anything else under the sun other than COVID-19.

The CDC just came out with a report that should be earth-shattering to the narrative of the political class, yet it will go into the thick pile of vital data and information about the virus that is not getting out to the public. For the first time, the CDC has attempted to offer a real estimate of the overall death rate for COVID-19, and under its most likely scenario, the number is 0.26 percent. Officials estimate a 0.4 percent fatality rate among those who are symptomatic and project a 35 percent rate of asymptomatic cases among those infected, which drops the overall infection fatality rate (IFR) to just 0.26 percent — almost exactly where Stanford researchers pegged it a month ago.

Until now, we have been ridiculed for thinking the death rate was that low, as opposed to the 3.4 percent estimate of the World Health Organization, which helped drive the panic and the lockdowns. Now the CDC is agreeing to the lower rate in plain ink.

Plus, ultimately we might find out that the IFR is even lower because numerous studies and hard counts of confined populations have shown a much higher percentage of asymptomatic cases. Simply adjusting for a 50 percent asymptomatic rate would drop their fatality rate to 0.2 percent – exactly the rate of fatality Dr. John Ionnidis of Stanford University projected.
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