Correlation is not causation.
Notice the similarities between these two maps. The first shows when people stopped driving long distances. The second shows current coronavirus hotspots.pic.twitter.com/CnDJ7yIksi
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That’s a pretty strong correlation though
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did you not notice many of those hotspots are in California?
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As a matter of fact, Ashley, I did.
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In this case though, the map isn't directly correlated to population - e.g. the northeast is much more densely populated but is much less of a hotspot right now. These maps would definitely be more useful though if they were normalized by population density.
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The spots in California look like areas that "fought" against the lockdown. One can only imagine how this map will look in 4 weeks
Thanks. Twitter will use this to make your timeline better. UndoUndo
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Aren't these just maps of population density?
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It is extremely common with maps, and I can't find a reference to say this data has been normalized. If it hasn't been, it's fairly useless.
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For comparison, population density. Note how the Northeast stopped driving early and has a low number of current hotspots despite the high population density.pic.twitter.com/OvFuWPyqv0
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And also didn't rush to reopening, but that might violate the narrative!
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