Just finished modeling the coronavirus spread based on cases thus far and according to my detailed model with beautiful consistency (R^2 = 99.99%!) 500 billion people will have #COVID19 by mid-August 
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How, empirically, do you know they're not helpful? How do you know they're a net negative to general utility? They MIGHT be unhelpful. They also MIGHT be really helpful in combating complacency. How do you actually KNOW either way? You're speculatively hating others' speculation.pic.twitter.com/BDDUTlGOCI
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Some weird contrarian 'certainties' have arisen recently on Twitter, like 1. It's pointless to talk of exponentials; 2. Only subject specialists should be referred to; 3. The people shouldn't be panicked. In trying to respect uncertainty, they're all simply asserted w/ certaintypic.twitter.com/M6o1Ivv03q
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If a few public officials had taken the time to understand/explain exponential growth, maybe there would be fewer surprised headlines about “unprecedented surges” in cases and deaths i the US - when those were 98.9% predictable from trends 10 days ago.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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