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I'll just say that, as a nation, we should never be proud of beating Russia and Brazil in government inaction. NEVER. And we should never brag about our failed response to it. That's accepting mediocrity. Mediocrity shouldn't be the American way.
I'm just happy to see racing. Perhaps I'm being selfish - I'm really not sure.
The Shop
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Luxon 4-Post Bar Mounts
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They will likely be the only thing that will get us all 'opened up again', for the foreseeable future.
https://www.iza.org/publications/dp/13319/face-masks-considerably-reduce-covid-19-cases-in-germany-a-synthetic-control-method-approach
https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(20)3114…
Sorry folks but Facebook isn't real data.
If everyone would stop posting the idiocy they hear from friends or bullshit they read on social media we'd all be the better for it.
I hope one thing we can agree on, with the wild fluctuations of predictions, infections, mortality rates, rules and regs and so on that the opinions of experts seems to more opinon than fact.
The best and most consistent advice and data has come from John Ionidous SP? from Stanford who nailed the stats nearly three months ago when everyone else was running around with their hair on fire.
And finally, god help you if any of you ever belived a word out of Faucis mouth. This dude is a fucking buffoon with a well detailed history of doing exactly what he's done here. Wildly irrational panic over bad data, time and time again.
https://www.medpagetoday.com/infectiousdisease/covid19/86812
https://www.healtheuropa.eu/evidence-on-optimal-use-of-ppe-and-physical…
That was the first 3 hits I found, plus the other two posted above.
There are lots more. Not quite sure what you're on about....
Then says: “If everyone would stop posting the idiocy they hear from friends or bullshit they read on social media we'd all be the better for it.”
Pit Row
https://www.sltrib.com/news/2020/06/01/rate-positive-covid/
Why do you think his data is best? Because you agree with it? Because Mark Levin is promoting him?
https://undark.org/2020/04/24/john-ioannidis-covid-19-death-rate-critic…
“The Stanford study was not a true random sample,” said Prabhat Jha, an epidemiologist at the University of Toronto, in an email to Undark. In addition, he said, “their testing was flawed, so they might have many false positives.” In particular, Jha and others have questioned whether recruiting samples from a Facebook ad, rather than something closer to random selection, may have skewed the results, perhaps by selecting for people who had already shown Covid-19 symptoms and wanted to see if they had antibodies, or who have a higher socioeconomic status.
“His current study fits most of the high-risk criteria for falsehood that he outlines, such as publishing in a really hot scientific field with few corroborating studies, using a small bias sample, [and] reporting provocative findings in a politically charged arena,” Gerke said.
“If you just go through his own work,” Gerke added, “he seems to be breaking all his own rules.”
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