Greatly admire your work . This got presented to me today and I’m curious if you can find the fault or anything inferior in this guys graph or narrative. If you can it would help me out tremendously 
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Our early-on testing kit shenanigans served to mislead our decision makers through falsely high R(t) calculations. This will need to be addressed as a lesson learned. Changes are in order. It is clear there was a purposeful attempt to spin data into creating public panic.pic.twitter.com/tcotFU2Wb7
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Someone in the medical administration of the state of Georgia has no ethical conscience. Cheating to make pandemic numbers look worse is a human rights crime. They should be arrested for oppression.pic.twitter.com/nrxOufl9b6
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This study is inductive & pre-published, but is suggesting no return to a full blown second wave. We have a potentially large un-detected immunity parameter. https://www.cell.com/action/showPdf?pii=S0092-8674%2820%2930610-3 …
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I am just recently aware of your work, which I appreciate. Please tell me how this CDC chart of flu+pneumonia deaths showing the phenomenon of COVID appearing to cure flu and pneumonia (fatality miscoding) is folded into your analyses. Perhaps a glossary of terms would help?pic.twitter.com/5BurNhdFya
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That is the raw data - unadjusted for lag and over-lag. Below are the adjusted CDC numbers. This is what my analyses use.pic.twitter.com/t8qljtdb38
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I am so grateful for your analyses. Your tweets are the thing I look forward to when I log in to Twitter each day.
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A lighthouse amid the fog of missinformation.
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It’s tracking on the same exact path as other respiratory diseases. That’s why the Sars graph is at bottom. Pulls data from multiple places for different things (cases/deaths/hospitalizations). It all lines up. Covid deaths now don’t lineup with all cause deaths. Too many
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