Under-rated point about educational polarization. The 2010 Republican victory (as well as 2014) was powered by a GOP that still dominated among college-educated voters...who turn out more regularly. Increasingly pro-Dem college-educated voters will help w/ Dem turnout in 2022.
To an extent, we already saw this play out in the Georgia Senate special election. The GOP turnout drop (with Trump not on the ballot) was overwhelmingly in pro-GOP counties with very low college education levels.
Of course, it matters who is actually contesting these seats. Some Dem candidates have more appeal to college-educated voters than others. And some GOP candidates are able to hold on to college-educated voters better than others.
Another thing about the NM-01 special election is that it shows no GOP advantage (yet) from backlash against covid closures. New Mexico had pretty strict mitigation measures. The Special Election would have been a good venue for voters to express their displeasure with them.
NM-01 more directly tested a different hot-button issue: crime. One explanation for better Latino GOP performance in 2020 was crime & "defund the police" messaging. But that didn't pay dividends for the GOP this time either. Special elections are special so caution is warranted.
The margin may simply be due to Dems putting $ here and the GOP not putting $ here. We'll need lots more data points to know anything for sure. But the GOP messaging on crime and covid-restrictions - and persisting Dem college-educated strength - are worth watching.
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I've suspected Sinopharm is a dud for a while now. Looks like the countries that relied on it are feeling the same. It apparently does limit severe symptoms, which is important. But it hasn't limited viral spread at all like the other vaccines have. washingtonpost.com/world/2021/06/…
These are the countries that have relied on Sinopharm.
This chart has me thinking about how to judge nations or US states that have handled covid best. I'm talking specifically about covid infections, not the social or economic fallout of mitigation measures. The criteria are lowest case-per-population and vaccination rates.
I'm keeping fatality rates aside for now because they tend to skew worst among the earliest hard-hit states/nations when many operated out of panic. Basically, the question is: which states/nations will come out of this pandemic with the fewest people being infected?
For the US, the top ten states (+DC) with fewest cases per population are: 1) Hawaii 2) Vermont 3) Oregon 4) Maine 5) Washington state 6) Washington, DC 7) New Hampshire 8) Maryland 9) Virginia 10) West Virginia
Covid-19 has produced an ongoing epistemological crisis, meaning a problem of determining what counts as "knowledge." A lot of our debates about covid-related personal behavior and public policy stem from this problem of knowledge. Social media makes it especially acute.
Broadly speaking (and oversimplifying), there are three kinds of knowledge: logical, empirical and revealed. The first two are well-understood. Logical can be mapped symbolically. E.g. If A->B, therefore If not-B->not-A. Empirical means using the senses to gather data.
Scientists use logical and empirical methods together to produce coherent models that explain scientific phenomena. But then there is that third form: "revealed." What I mean by "revealed" is that some trusted authority declares something to be "known" and you accept it as so.
This has been a problem with all the "labor shortage" reporting. Every single quote is from an employer seeking workers, with lots of "theories" to explain hiring troubles. Naturally, "too much UI" is the excuse. But NO quotes from actual unemployed workers. Terrible journalism.
I mean, if the prevailing theory is that unemployed workers are just sitting back and collecting UI bc it pays more than any job, how about going out and finding somebody who says that that is what they are doing? People have admitted far more embarrassing things to reporters.
FWIW, I think there are multiple forces at work, and extended UI is probably one of them for some people. But considering the huge gender breakdown in job gains/losses in April, it's likely that childcare issues are part of it. And maybe it's connected to covid restrictions.
These maps of WV and GA show that the only parts of Appalachia growing in population are retiree/recreation areas, urban/suburban, and university counties. Coal counties hemorrhaging population. Similar story would hold for Appalachian parts of PA, OH, KY, MD, VA, TN, NC, AL.
None of that should be surprising. It holds true for all of rural America, Appalachian or not. And in some Appalachian urban/suburban counties (Kanawha, Cabell), the pattern looks more like the Midwestern Rust Belt, with ongoing population losses.
Politically, these Appalachian retirement counties are more like 2012 Romney voters than anything else. They also show up as higher vaccination counties, esp. for 65+. Check out Loudon County, TN with Tellico Village retirees from the Midwest v. McMinn County next door.
If you really want to know what happened in the 2020 election, don't look at exit polls. They were crap. Instead, look at this. It's the most accurate account of both the 2016 and 2020 elections. catalist.us/wh-national/
It's easy to miss the forest for the trees. For example, Latino vote preferences shifted a bit toward Trump compared to 2016. But massive increases in Latino turnout - where Latinos still voted Dem 61-37 - meant the net vote effect was to help Dems. Even more true with AAPI.
Of course, this could vary by region. And it also can upset pre-election predictions based on expected vote share. The Latino shift in the Rio Grande Valley was much greater than other places - & turnout didn't undermine it. Without it, TX would have been a bit closer.