Engineer on @googlechrome. Involved in CSS and W3C standards. Previously @mozilla, @w3ctag. Mastodon: @dbaron@w3c.social
Rockville, Maryland, USA
Joined March 2008
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In this diagram I think "free movement of people" means "ability to go there without speaking to an immigration officer". Would be interesting to also see the "have the right to work on the other side if you're a citizen of one side" arrows... which are different (how?).
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It seems risky to focus only on mortality when a significant portion of people (including young ones) who have COVID-19 have long term (possibly permanent) health issues as a result.
I want someone (maybe me???) to build an infographic that has the @FiveThirtyEight snake chart, straightened out, for the last 6-8 elections (results, not forecasts), with lines showing how the states moved around between elections...
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(I probably should have said the single story overlay is the "(S)" in the "R-1(7000)(S)" and "R-1(8000)(S)".)
Is it too nerdy to think this is the usual way of depicting single-story overlay neighborhoods?
(Note: some of those pictured here are within half a mile of the San Antonio Caltrain station, near bottom of map.)
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That is, NE-2 is the one "state" on the opposite side of the tipping point in 2020 (assuming you don't count the 1 electoral vote share of Wisconsin).
Treat the congressional districts as though they're separate states, for the purpose of their electoral votes. (Though the first time I calculated 2008 I messed that bit up!)
Interestingly, the *difference* between the 2016 and 2020 tipping points was NE-2 becoming D-leaning.
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I think it looks like the Electoral College's partisan bias in the 2020 Presidential election is the largest bias since 1936.
The data for this calculation is at dbaron.org/presidential-elec… . (Let me know if there's an error!)
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On the other hand, see nitter.vloup.ch/zeynep/status/13… (both the linked article and the thread above it)
I wrote up the case for launching immediate trials to test a single-dose regime. Calling for volunteers among < 65 health-care workers for single dose and later booster seems like the minimal prudent response to this chart. We could know fairly quickly. zeynep.substack.com/p/vaccin…
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I think the last attempt to fix this in California was leginfo.legislature.ca.gov/f… .
That said, new chair (Friedman) of Assembly transportation committee could also help here, if the federal government doesn't tie it to funding.
Requires a campaign against state laws that ban camera enforcement of speeding. California has such a law. Apparently police unions are the obstacle to fixing it.
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I somehow find misspellings in reputable publications very distracting; this article in @TheEconomist has António Guterres's name 4 times, and it's wrong the first 3 times. (In the print version, with two t's and one r, online with two of each!) economist.com/briefing/2020/…
This is a reasonably predictable consequence of re-electing an 85-year-old (in 2018) to another 6 year term in the United States Senate.
(I voted for @kdeleon, and that's a big part of why. But his campaign didn't seem to have enough money to make him known statewide.)
Dianne Feinstein’s Missteps Raise a Painful Age Question Among Senate Democrats newyorker.com/news/news-desk… via @NewYorker
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There's a good bit of data on this at en.wikipedia.org/wiki/Compar… though I'm not sure at first glance which (if any) criterion is relevant to your question.
There's a whole field of research in mathematics about this... and then there's also how they work in practical politics.
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Are there places that have done this level of analysis on *all* of the cases within an area, or a good random subset thereof? If someplace has, that (with a low enough rate of "couldn't figure it out") would make me a lot more comfortable relying on "the dog that didn't bark".
A photo of an urban environment I like [33/N]:
Xiǎoběi Street, Yìngchéng City, Xiàogǎn City, Húběi, China
中国湖北省孝感市应城市小北街
December 2018
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