The way this data is plotted and shown in the graphics is very misleading. As with most statistical data. You can literally make the same number say 2 completely different things depending on the values you choose to represent X and Y 1\2
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For example 600 deaths today population 337,000,000 has dropped by 400% over 2 weeks. Estimated
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The red ones probably have the best group immunity before second wave/new mutation hits, the only thing I wonder is did they protect the old and weak.
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How many of those are paying hospitals to produce covid deaths?
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Those are all pretty steep, why don't any of them represent the "curve" that the lockdowns were supposed to create?
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this is a bothersome web page since the data is only available in the graphs to 4/21....
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"B" as in "B", "S" as in "S"...
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whu can no "expert" and there are prosessed to be "many") define what/why some nations are effected far far worse than others ? What is the driving factor ?
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Build a wall around NYC and we contain the virus.
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