Lies, Damned Lies, and Vaccine Statistics
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Lies, Damned Lies, and Vaccine Statistics
1–10 of 63 posts
Re: Lies, Damned Lies, and Vaccine Statistics
#2Re: Lies, Damned Lies, and Vaccine Statistics
#3Why do professionals get in the business of exaggeration when it serves no useful purpose than to provide excuses and doubt to the hesitant.
Also. Often when officials state things with exaggerated and unwarranted certainty, take it with a grain of salt.
PS why isn’t Twitter marking such as misinformation? My guess, it fits their narrative, so it gets a pass.
Re: Lies, Damned Lies, and Vaccine Statistics
#4Re: Lies, Damned Lies, and Vaccine Statistics
#5what about Lies, Damned Lies, and Cloroquine Statistics?
Re: Lies, Damned Lies, and Vaccine Statistics
#6And since the main purpose of religion is dividing people on Us vs Them (Us - clean and moral, Them - stained and evil) this is exactly what is happening with pandemic. Plus some overzealous virtue signaling.
Rational arguments and rational people are doomed to fail in the circumstances.
Re: Lies, Damned Lies, and Vaccine Statistics
#7My theory - pandemic is mostly a religious event. Mind that much of world religions is mostly anti-epidemic advice presented as God's commands (with some world creation myth and some moral advice on top). So people are prone to react with religious fervor in response to each epidemics. And since the main purpose of religion is dividing people on Us vs Them (Us - clean and moral, Them - stained and evil) this is exact…
Re: Lies, Damned Lies, and Vaccine Statistics
#8Re: Lies, Damned Lies, and Vaccine Statistics
#9There is not a single comment pointing out any error or misinformation or lie or damned lie.
Unless somebody can show that the data and/or interpretation are wrong, it should not be flagged.
Re: Lies, Damned Lies, and Vaccine Statistics
#10This post was flagged. I just vouched for it. I read the whole thing. As far as I can tell, it is accurate. There is not a single comment pointing out any error or misinformation or lie or damned lie. Unless somebody can show that the data and/or interpretation are wrong, it should not be flagged.