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Justin Hart
justin_hart
A few are quickly dismissing serology studies but they're ALL trending in the same direction: 2% to 4% of the population may have already have faced down #COVID19.LOTS of implications
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This tweet storm highlights the tears and frustrations building across America. These are people who have been devastated by the shutdown. #COVID19 takes lives and the shutdown will take many
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Something dreadful happened in the NYC.The data tell me:>>> #COVID19 is almost exclusively an NYC area pandemic!Let the rest of us out! But we do need to investigate what happened:NYC
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The now infamous Murray Model (IHME) is already overstating DEATHS... just one day into its newly released model.Even the lower bounds are lost. April 6th - DeathsProjected Mean: 12,539Projected Lower:
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"...we will see more deaths because of social distancing."Take a moment and watch Dr. Knut Wittkowski, former head of Rockefeller University's Dept of Biostatistics, Epidemiology, Research Design.https://www.youtube.com/watch?v=lGC5sGdz
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How MASSIVE were the prediction fails revisions for the HMEI model? The mode which has locked us inside for all of April. New York #COVID19 beds neededOriginal: 76,130Revised: 25,486Remember the
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Wait. What did I just read?!I was doing some sleuthing trying to understand why the total NYC stats are so MASSIVE and I discovered:**NYC is ESTIMATING #COVID19 hospitalizations NOT ON
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OK. Here's example #323 on how the data around #COVID19 is SO BAD!NYC just put out data on cases by the DATE OF DIAGNOSIS.Why does that matter? Because y'all been
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Y'all have seen my rants against the Murray #COVID19 model. It predicts OVERWHELMED hospitals in the next 2 weeks!Now we have actual stats on our hospitals and the models have
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