"Density alone doesn’t seem to account for the scale of the differential between NY’s fatality rates & those of other cities. NY has twice the density of London but 3 times the deaths & the differential is even higher for cities such as San Francisco & LA.https://www.wsj.com/articles/the-covid-19-catastrophe-unfolding-in-new-york-is-unique-11587747861 …
There may not be an explanation for why Covid-19 killed so many people in NYC. Exponential growth magnifies the effect of random things that happen early on. One party might have been enough to make the difference, if it happened at the right (wrong) time.
-
-
Right .. see this puzzle about different cities in CAhttps://twitter.com/trvrb/status/1253038562569674752 …
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
Thinking about the dynamics of complex systems in traditional causal terms, while looking at stats as evidence, won’t get one very far due to the amplification of path dependencies. That said, factors such as density and network topology should be seen as *enabling* parameters.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
Right. 2x density doesn't mean 2x cases. Could theoretically mean 8x cases or whatever other multiplier.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
These discussions are interesting, but their bases are utterly flawed because the underlying data could be off by multiples of 5x or more. The death rates, therefore, are likely wildly inaccurate.
-
You can look at excess deaths. Those numbers are precise.
- Show replies
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.