For example, a testable prediction made by Sunetra Gupta, Anders Tegnell, and others was that areas most impacted by COVID-19 in March/April would be substantially protected from any resurgence. This has proven largely wrong
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This was, in part, based on the prediction by Gupta that the UK (and others) had already reached "herd immunity", or were close to it Also wrong
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There are many further examples of people who have said things that are just obviously incorrect. I.e.https://twitter.com/GidMK/status/1345860316157022208?s=20 …
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The air will get thinner now that social media companies quit the Stockholm syndrome w/ Trump that got in the way of limiting disinformation that's long-term bad for their bottom line.
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There's still the passionate idiots and the grifters who know better, but a lot of energy behind it was artificial.
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The thing is, if they were simply looking at data and misinterpreting it, they probably would just hold up their hands and say “sorry I was wrong” but they have manipulated and misrepresented data to get likes and retweets and now have painted themselves into a corner
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Atleast the Great Barrington
trash has taken itself out 
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Thanks. Twitter will use this to make your timeline better. UndoUndo
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