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
The top 10 states right now re: fully vaccinated are:
1) Maine
2) Connecticut
3) Vermont
4) Massachusetts
5) Rhode Island
6) New Jersey
7) Hawaii
8) New Mexico
9) Maryland
10) New York
Combining these lists, the only states to appear on the Top 10 in both are:
1) Vermont
2) Maine
3) Hawaii
4) Maryland

The first three are very small, so Maryland is probably the best among the mid-population and up states. How about other mid-pop states just outside the Top 10?
Here are states #11-20 in the case-per-pop list, beginning with Alaska. And #11-20 in full vax rates, beginning with Minnesota and ending with Pennsylvania (not counting Guam).
The other mid-population (or higher) states to make the Top 20 in both lists are:
Colorado
Pennsylvania
Virginia
Washington
Connecticut (smallish)
Oregon
So that leaves us with:
Maryland
Colorado
Pennsylvania
Virginia
Washington
Oregon
Connecticut
New Hampshire is on the edge and is small, along with top performing small states Hawaii, Vermont and Maine.
How about internationally? I'm going to leave out the smallest nations here, especially island nations, because they had other other advantages in travel restriction and often in vax distribution. I'm also leaving off some nations that I have zero trust in reported numbers.
Several of the lowest official case count-per-pop nations are in Africa, including Niger, Tanzania, Chad, DRC, Liberia, Burundi, Sierra Leone, Burkina Faso, Benin, Mali, Sudan, Nigeria, Uganda, Angola, Madagascar and Ivory Coast. Vax rates are extremely low in all, however.
Outside Africa, the lowest case counts per pop in non-tiny nations are Vietnam, Laos, New Zealand, Australia, China, Taiwan, Haiti, Tajikistan, Cambodia, Hong Kong, South Korea, Pakistan, Thailand, Afghanistan, Uzbekistan, Myanmar, Papua New Guinea, Nicaragua, Yemen and Syria.
Some of these have obvious problems with reporting accurate numbers. So, what about higher vaccinated non-tiny countries that also have low case rates? There are very few that appear on top of both lists. In fact, the lists are almost perfectly inverted.
And that may be the final lesson here: If low-case-per-pop countries like NZ, Australia and Vietnam can fully vaccinate their countries before a real case wave appears, they will come out on top. But most countries will have gotten pummeled with covid-19 by the end.

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More from @AstorAaron

13 May
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.
Read 11 tweets
10 May
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.
Read 4 tweets
10 May
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.
Read 4 tweets
10 May
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.
Read 7 tweets
10 May
This question of "accepting the victory" is a complicated one that can't really be captured by polling. It's often that large numbers of supporters of the losing party don't "accept the victory" of the winning candidate. What really matters is how they understand and express it.
This gets to the process of legitimacy in any constitutional democracy. Complaining about "rigged" American elections is as old the Republic. But there's a difference between believing "we wuz robbed!" and actively undermining the process of legitimizing the election.
And even that latter point has degrees to it. One can investigate a fishy election or cite various irregularities that taint the winner's election. But that's a far cry from literally stopping an election count or trying to push the losing candidate into office.
Read 6 tweets
9 May
Returning to full 100% in-person schooling - like other aspects of life - will not be easy because of the economic, familial and psychological adjustments made during the pandemic. But it really has to happen by the end of summer.

nytimes.com/2021/05/09/us/…
Hybrid education doesn't work for anybody. At any level. It's certainly true that virtual instruction works best for some. But far more people are hurt by it (compared to in-person) than helped. If districts need to set up full stand-alone virtual academies then so be it.
But those should be treated as permanent alternative school options for a small group of students, with a process in place to determine that it is, in fact, the best schooling option to serve their educational needs. For others, it should not be an option.
Read 6 tweets

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