Okayyyy, I’ll join everyone else in responding to today’s news (instead of just sighing, gazing into middle distance). The profit incentive baked into private prisons is a mess. But you know what else is a HUGE MESS?
The revenue incentive in the federal jail market. 🧵
The wonderful Jack Norton @jcknorton calls this “an intercounty carceral arms race... to build and bigger and bigger jails.”
https://t.co/98s22r2fWL
of people detained by the Marshals increased 32 percent in ONE YEAR.
This is a terrible system all of the time. As @jcknorton found in Glades County, FL, it can create this whole new WEIRD system of private profits, going to investors who back big new jails.
https://t.co/EsTK4wd7EX
https://t.co/DuSz7HtEHp
https://t.co/35ggeNKe0E
https://t.co/qljBoNGHaa
https://t.co/fc0Gv6plwr
More from Government
Typically excellent piece from @dsquareddigest The exponential insight is especially neat. Think of it a little like fishing...today you can’t export oysters to the EU (because you simply aren’t allowed to), tomorrow you don’t have a fish exporting business (to the EU).
The extremely small minority of people who known anything about this who think that Brexit will be good for the City make a number of arguments which I shall address in turn...
1. They need us more than we need them. This is a variant of the German carmakers argument. And we know how that went...Business will follow the profit opportunity and if that has moved then so will the business...
And what do we mean by us / we. We’re not talking about massed ranks of Euro investing / trading etc blue blooded British institutions.
Au contraire. We’re talking about the London based subs of US, Asian and indeed European capital markets players...As soon as they think the profit opportunity has moved then so will they...it’s a market innit...
London's status as a financial centre isn't as secure as some might think | Dan Davies https://t.co/q9SU7ra4oF
— The Guardian (@guardian) February 13, 2021
The extremely small minority of people who known anything about this who think that Brexit will be good for the City make a number of arguments which I shall address in turn...
1. They need us more than we need them. This is a variant of the German carmakers argument. And we know how that went...Business will follow the profit opportunity and if that has moved then so will the business...
And what do we mean by us / we. We’re not talking about massed ranks of Euro investing / trading etc blue blooded British institutions.
Au contraire. We’re talking about the London based subs of US, Asian and indeed European capital markets players...As soon as they think the profit opportunity has moved then so will they...it’s a market innit...
Which metric is a better predictor of the severity of the fall surge in US states?
1) Margin of Democrat victory in Nov 2020 election
or
2) % infected through Sep 1, 2020
Can you guess which plot is which?
The left plot is based on the % infected through Sep 1, 2020. You can see that there is very little correlation with the % infected since Sep 1.
However, there is a *strong* correlation when using the margin of Biden's victory (right).
Infections % from https://t.co/WcXlfxv3Ah.
This is the strongest single variable I've seen in being able to explain the severity of this most recent wave in each state.
Not past infections / existing immunity, population density, racial makeup, latitude / weather / humidity, etc.
But political lean.
One can argue that states that lean Democrat are more likely to implement restrictions/mandates.
This is valid, so we test this by using the Government Stringency Index made by @UniofOxford.
We also see a correlation, but it's weaker (R^2=0.36 vs 0.50).
https://t.co/BxBBKwW6ta
To avoid look-ahead bias/confounding variables, here is the same analysis but using 2016 margin of victory as the predictor. Similar results.
This basically says that 2016 election results is a better predictor of the severity of the fall wave than intervention levels in 2020!
1) Margin of Democrat victory in Nov 2020 election
or
2) % infected through Sep 1, 2020
Can you guess which plot is which?
The left plot is based on the % infected through Sep 1, 2020. You can see that there is very little correlation with the % infected since Sep 1.
However, there is a *strong* correlation when using the margin of Biden's victory (right).
Infections % from https://t.co/WcXlfxv3Ah.
This is the strongest single variable I've seen in being able to explain the severity of this most recent wave in each state.
Not past infections / existing immunity, population density, racial makeup, latitude / weather / humidity, etc.
But political lean.
One can argue that states that lean Democrat are more likely to implement restrictions/mandates.
This is valid, so we test this by using the Government Stringency Index made by @UniofOxford.
We also see a correlation, but it's weaker (R^2=0.36 vs 0.50).
https://t.co/BxBBKwW6ta
To avoid look-ahead bias/confounding variables, here is the same analysis but using 2016 margin of victory as the predictor. Similar results.
This basically says that 2016 election results is a better predictor of the severity of the fall wave than intervention levels in 2020!
