nhaliday + acemoglu + education   4

Annotating Greg Cochran’s interview with James Miller
https://westhunt.wordpress.com/2017/04/05/interview-2/
opinion of Scott and Hanson: https://westhunt.wordpress.com/2017/04/05/interview-2/#comment-90238
Greg's methodist: https://westhunt.wordpress.com/2017/04/05/interview-2/#comment-90256
https://westhunt.wordpress.com/2017/04/05/interview-2/#comment-90299
You have to consider the relative strengths of Japan and the USA. USA was ~10x stronger, industrially, which is what mattered. Technically superior (radar, Manhattan project). Almost entirely self-sufficient in natural resources. Japan was sure to lose, and too crazy to quit, which meant that they would lose after being smashed flat.
--
There’s a fairly common way of looking at things in which the bad guys are not at fault because they’re bad guys, born that way, and thus can’t help it. Well, we can’t help it either, so the hell with them. I don’t think we had to respect Japan’s innate need to fuck everybody in China to death.

https://westhunt.wordpress.com/2017/03/25/ramble-on/
https://westhunt.wordpress.com/2017/03/24/topics/
https://soundcloud.com/user-519115521/greg-cochran-part-1
2nd part: https://pinboard.in/u:nhaliday/b:9ab84243b967

some additional things:
- political correctness, the Cathedral and the left (personnel continuity but not ideology/value) at start
- joke: KT impact = asteroid mining, every mass extinction = intelligent life destroying itself
- Alawites: not really Muslim, women liberated because "they don't have souls", ended up running shit in Syria because they were only ones that wanted to help the British during colonial era
- solution to Syria: "put the Alawites in NYC"
- Zimbabwe was OK for a while, if South Africa goes sour, just "put the Boers in NYC" (Miller: left would probably say they are "culturally incompatible", lol)
- story about Lincoln and his great-great-great-grandfather
- skepticism of free speech
- free speech, authoritarianism, and defending against the Mongols
- Scott crazy (not in a terrible way), LW crazy (genetics), ex.: polyamory
- TFP or microbio are better investments than stereotypical EA stuff
- just ban AI worldwide (bully other countries to enforce)
- bit of a back-and-forth about macroeconomics
- not sure climate change will be huge issue. world's been much warmer before and still had a lot of mammals, etc.
- he quite likes Pseudoerasmus
- shits on modern conservatism/Bret Stephens a bit

- mentions Japan having industrial base a tenth the size of the US's and no chance of winning WW2 around 11m mark
- describes himself as "fairly religious" around 20m mark
- 27m30s: Eisenhower was smart, read Carlyle, classical history, etc.

but was Nixon smarter?: https://www.gnxp.com/WordPress/2019/03/18/open-thread-03-18-2019/
The Scandals of Meritocracy. Virtue vs. competence. Would you rather have a boss who is evil but competent, or good but incompetent? The reality is you have to balance the two. Richard Nixon was probably smarter that Dwight Eisenhower in raw g, but Eisenhower was probably a better person.
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april 2017 by nhaliday
Is America smart enough? A Q&A with Garett Jones on IQ and the 'Hive Mind' - AEI | Pethokoukis Blog » AEIdeas
hmmm, shit:
Well, if we’re looking at the very recent trends over the last couple of decades, there is not much evidence that there’s been a bigger return to IQ than there used to be. I think there’s moderate evidence that there’s actually an increase in return to personality-type skills.

evidence: https://pinboard.in/u:nhaliday/b:d70bdc68a51c

One of my colleagues one said offhand a line that I think others have said, which is that 90% of success is staying off the Internet. And I think there’s something to this idea that the return to personality-type measures is probably a lot higher than it used to be. Agreeableness, conscientiousness, especially in certain settings. I’ve looked at the normal statistical results and they don’t find an increase in return to IQ in recent decades. But there’s a couple of studies out there that do find an increase in returns to what they call non-cognitive skills.

I think personality might be mattering more. If the robots are going to take some jobs, they’ll probably be taking a lot of brainy type jobs. But they’re going to be a little behind the times when it comes to personality. And a lot of in-person services are going to depend on personality traits.

more:
So Google and its many spinoffs replace a lot of the need for crystallized intelligence. But the need for fluid intelligence is going to be with us for quite some time. The ability to look at a new, novel situation and figure out what’s going on here.

Some pro-IQ supporters, especially on the Internet, tend to think that there’s this some kind of cutoff where above a certain level IQ matters a lot. Below it, it doesn’t matter very much. And I just don’t find evidence of that. I think that there’s a reason why the market pays for IQ, for higher IQ across the range of the scores. It’s because it’s always good to have somebody around who can just look at an ambiguous situation and figure out what’s going on.

another neat comment:
I think the obsession with years of education really needs to end. And there should be an obsession with broad based test scores. If people don’t want to use IQ scores, that’s fine. But they should at least be looking at broad based test scores, things like the NAEPs, other test scores that the US government is quite happy to report on the Department of Education’s website. These should be the measures we look at. We should be looking a lot less at years of education.
org:ngo  interview  spearhead  garett-jones  hive-mind  human-capital  iq  economics  growth-econ  psychology  cog-psych  psychometrics  causation  time-preference  patience  coordination  acemoglu  usa  anglo  anglosphere  sinosphere  the-great-west-whale  trends  personality  discipline  internet  the-monster  attention  hmm  :/  psych-architecture  critique  asia  migration  right-wing  policy  education  automation  wonkish  science-anxiety  stylized-facts  s:*  broad-econ  big-peeps  rindermann-thompson  chart  wealth-of-nations  prudence  microfoundations  regularizer  realness  s-factor  multi 
march 2017 by nhaliday
Skills, Tasks and Technologies: Implications for Employment and Earnings
A central organizing framework of the voluminous recent literature studying changes in the returns to skills and the evolution of earnings inequality is what we refer to as the canonical model, which elegantly and powerfully operationalizes the supply and demand for skills by assuming two distinct skill groups that perform two different and imperfectly substitutable tasks or produce two imperfectly substitutable goods. Technology is assumed to take a factor-augmenting form, which, by complementing either high or low skill workers, can generate skill biased demand shifts. In this paper, we argue that despite its notable successes, the canonical model is largely silent on a number of central empirical developments of the last three decades, including: (1) significant declines in real wages of low skill workers, particularly low skill males; (2) non-monotone changes in wages at different parts of the earnings distribution during different decades; (3) broad-based increases in employment in high skill and low skill occupations relative to middle skilled occupations (i.e., job 'polarization'); (4) rapid diffusion of new technologies that directly substitute capital for labor in tasks previously performed by moderately-skilled workers; and (5) expanding offshoring opportunities, enabled by technology, which allow foreign labor to substitute for domestic workers in specific tasks. Motivated by these patterns, we argue that it is valuable to consider a richer framework for analyzing how recent changes in the earnings and employment distribution in the United States and other advanced economies are shaped by the interactions among worker skills, job tasks, evolving technologies, and shifting trading opportunities. We propose a tractable task-based model in which the assignment of skills to tasks is endogenous and technical change may involve the substitution of machines for certain tasks previously performed by labor. We further consider how the evolution of technology in this task-based setting may be endogenized. We show how such a framework can be used to interpret several central recent trends, and we also suggest further directions for empirical exploration.

https://krugman.blogs.nytimes.com/2017/08/04/structural-unemployment-yes-it-was-humbug/
study  acemoglu  economics  models  trends  labor  automation  education  human-capital  🎩  winner-take-all  econometrics  planning  compensation  capital  polarization  stylized-facts  heavy-industry  multi  news  org:rec  krugman  regularizer 
february 2017 by nhaliday

bundles : econedpeeps

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