Since the text of the Constitution doesn’t say that you need to be textualist, I think the next nominee should reject GOP questions abt “sticking to the text” by saying textualism requires her to reject textualism and then claim the title of invincible Metatextualist.
Ok, two things.
1. I thought I was going to need a root canal, but turns out I need two wisdom teeth yanked. Both procedures sound far far better than what I imagine SCOTUS discourse will be for weeks or months to come.
2. Apparently Taika Waititi is directing a cinematic The Incal. Can’t wait. Also can’t wait for Luc Bresson to sue them for copyright violation of the 5th Element.
I think—and, honestly, I’m not really joking—we’ve hit the point where major criminology journals need to declare a one (two? five?) yr moratorium on papers using admin data, and focus on a host of papers laying out how, exactly, we can use that data.
And I mean the major journals, not the lower-ranked ones. This isn’t some second-tier methodological issue. This gets at the heart of every quantitative paper using admin data. It’s a first-most toppest-tied issue.
Our admin data is… just a giant minefield.
Like, the UCR flaws are well known, but as you dig down into them, they just get worser and worser, like some fractal of fail.
We need to identify what data seems more reliable, which is less, how we can carefully impute across the gaps, how we can cross-validate, etc etc etc.
The BJS gets its national racial estimates by combining admin data at the state level with several national-level surveys that gather self-reported race data. It then runs all these things through a fairy complex algorithm to get a NATIONAL estimate.
The challenge is that admin race data isn’t based on self-reports, but rather on how correctional staff choose to record things.
In this case, I’d bet how race is recorded correlates with North vs South… or at least the risk is really high.
Has anyone come across a paper that rigorously does either of these:
1. Compare the various marginal contributions of crime interventions ($1 for police cuts crime by x, $1 for drug treatment by y)?
We can't think abt opportunity costs without this.
And...
2. Compares how marginal effects of a crime intervention vary across ... other stuff? Like: $1 on drug treatment cuts crime by x in a city with a big per capita police force, and by y with a small one.
None of this stuff is one-size-fits-all, and feel like baselines are huge.
I feel like 95% of the debate abt crime is about which is *the* right response.
But it's all about marginal opportunity cost tradeoffs against different background conditions in different places.
This is a really intriguing article, though not for the reasons I think it was intended.
I think it demonstrates how impoverished our thinking about what accountability is or can be, and how that inhibits efforts to push for deeper, more substantial changes.
Unless I'm way off, the instances where Bragg plans to (systematically) plead around the "unless required by law" mand-mins for all viol felonies higher than Class E are:
1. A narrow set of commercial robberies where no one is at risk of real injury.
(b) isn't a violent crime (not how we count weapons charges), and doesn't involve guns. Anyway, in 2019 a grand total of 55 ppl were sent to prison from Manhattan for 265.02.
(c) and (d) lower the felony to D--still mandatory prison time.
(e) is about drug possession.
"He's not going to send anyone to prison for violence anymore!"*
* For one narrow category of case, under some situations, and supervisors can override for "extraordinary reasons," which includes prior criminal history.
Gotta say, the more I think abt it, the angrier I get abt the CDC saying life expectancy at birth fell by 1.8 years from 2019 to 2020.
We had a huge spike in mortality, yes. And one in morbidity that will def shorten lives in the future.
But the number here is total gibberish.
To start, Covid might have ~0 impact on expectancy AT BIRTH. Maybe it will—maybe kids exposed at birth or in utero will be sicker. Or maybe it made them longer, by jumpstarting mRNA therapies.
But a static accounting based on 2020 data is … beyond meaningless.
It’s faux quantification of a health shock not easily reduced to a single headline number. Easily repeated, seemingly meaningful… and completely meaningless—at best.