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Michael Akilian: Worker-in-the-loop Retrospective
Over the last ten years, many companies have created human-in-the-loop services that combine a mix of humans and algorithms. Now that some time has passed, we can tease out some patterns from their collective successes and failures. As someone who started a company in this space, my hope is that this retrospective can help prospective founders, investors, or companies navigating this space save time and fund more impactful projects.

A service is considered human-in-the-loop if it organizes its workflows with the intent to introduce models or heuristics that learn from the work of the humans executing the workflows. In this post, I will make reference to two common forms of human-in-the-loop:

User-in-the-loop (UITL): The end-user is interacting with suggestions from a software heuristic/ML system.
Worker-in-the-loop (WITL): A worker is paid to monitor suggestions from a software heuristic/ML system developed by the same company that pays the worker, but for the ultimate benefit of an end-user.
techtariat  reflection  business  tech  postmortem  automation  startups  hard-tech  ai  machine-learning  human-ml  cost-benefit  analysis  thinking  business-models  things  dimensionality  exploratory  markets  labor  economics  tech-infrastructure  gig-econ 
11 weeks ago by nhaliday
Ask HN: Getting into NLP in 2018? | Hacker News
syllogism (spaCy author):
I think it's probably a bad strategy to try to be the "NLP guy" to potential employers. You'd do much better off being a software engineer on a project with people with ML or NLP expertise.

NLP projects fail a lot. If you line up a job as a company's first NLP person, you'll probably be setting yourself up for failure. You'll get handed an idea that can't work, you won't know enough about how to push back to change it into something that might, etc. After the project fails, you might get a chance to fail at a second one, but maybe not a third. This isn't a great way to move into any new field.

I think a cunning plan would be to angle to be the person who "productionises" models.
...
.--
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Basically, don't just work on having more powerful solutions. Make sure you've tried hard to have easier problems as well --- that part tends to be higher leverage.

https://news.ycombinator.com/item?id=14008752
https://news.ycombinator.com/item?id=12916498
https://algorithmia.com/blog/introduction-natural-language-processing-nlp
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november 2019 by nhaliday
Ask HN: What's a promising area to work on? | Hacker News
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november 2019 by nhaliday
The Future of Mathematics? [video] | Hacker News
https://news.ycombinator.com/item?id=20909404
Kevin Buzzard (the Lean guy)

- general reflection on proof asssistants/theorem provers
- Kevin Hale's formal abstracts project, etc
- thinks of available theorem provers, Lean is "[the only one currently available that may be capable of formalizing all of mathematics eventually]" (goes into more detail right at the end, eg, quotient types)
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october 2019 by nhaliday
Sci-Hub | The Moral Machine experiment. Nature | 10.1038/s41586-018-0637-6
Preference for inaction
Sparing pedestrians
Sparing the lawful
Sparing females
Sparing the fit
Sparing higher status
Sparing more characters
Sparing the young
Sparing humans

We selected the 130 countries with at least 100 respondents (n range 101–448,125), standardized the nine target AMCEs of each country, and conducted a hierarchical clustering on these nine scores, using Euclidean distance and Ward’s minimum variance method20. This analysis identified three distinct ‘moral clusters’ of countries. These are shown in Fig. 3a, and are broadly consistent with both geographical and cultural proximity according to the Inglehart–Welzel Cultural Map 2010–201421.

The first cluster (which we label the Western cluster) contains North America as well as many European countries of Protestant, Catholic, and Orthodox Christian cultural groups. The internal structure within this cluster also exhibits notable face validity, with a sub-cluster containing Scandinavian countries, and a sub-cluster containing Commonwealth countries.

The second cluster (which we call the Eastern cluster) contains many far eastern countries such as Japan and Taiwan that belong to the Confucianist cultural group, and Islamic countries such as Indonesia, Pakistan and Saudi Arabia.

The third cluster (a broadly Southern cluster) consists of the Latin American countries of Central and South America, in addition to some countries that are characterized in part by French influence (for example, metropolitan France, French overseas territories, and territories that were at some point under French leadership). Latin American countries are cleanly separated in their own sub-cluster within the Southern cluster.

...

Fig. 3 | Country-level clusters.

[ed.: I actually rather like how the values the West has compare w/ the global mean according in this plot.]

...
Participants from individualistic cultures, which emphasize the distinctive value of each individual23, show a stronger preference for sparing the greater number of characters (Fig. 4a). Furthermore, participants from collectivistic cultures, which emphasize the respect that is due to older members of the community23, show a weaker preference for sparing younger characters (Fig. 4a, inset).
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october 2019 by nhaliday
Information Processing: Beijing 2019 Notes
Trump, the trade war, and US-China relations came up frequently in discussion. Chinese opinion tends to focus on the long term. Our driver for a day trip to the Great Wall was an older man from the countryside, who has lived only 3 years in Beijing. I was surprised to hear him expressing a very balanced opinion about the situation. He understood Trump's position remarkably well -- China has done very well trading with the US, and owes much of its technological and scientific development to the West. A recalibration is in order, and it is natural for Trump to negotiate in the interest of US workers.

China's economy is less and less export-dependent, and domestic drivers of growth seem easy to identify. For example, there is still a lot of low-hanging fruit in the form of "catch up growth" -- but now this means not just catching up with the outside developed world, but Tier 2 and Tier 3 cities catching up with Tier 1 cities like Beijing, Shanghai, Shenzhen, etc.

China watchers have noted the rapidly increasing government and private sector debt necessary to drive growth here. Perhaps this portends a future crisis. However, I didn't get any sense of impending doom for the Chinese economy. To be fair there was very little inkling of what would happen to the US economy in 2007-8. Some of the people I met with are highly placed with special knowledge -- they are among the most likely to be aware of problems. Overall I had the impression of normalcy and quiet confidence, but perhaps this would have been different in an export/manufacturing hub like Shenzhen. [ Update: Today after posting this I did hear something about economic concerns... So situation is unclear. ]

Innovation is everywhere here. Perhaps the most obvious is the high level of convenience from the use of e-payment and delivery services. You can pay for everything using your mobile (increasingly, using just your face!), and you can have food and other items (think Amazon on steroids) delivered quickly to your apartment. Even museum admissions can be handled via QR code.

A highly placed technologist told me that in fields like AI or computer science, Chinese researchers and engineers have access to in-depth local discussions of important arXiv papers -- think StackOverflow in Mandarin. Since most researchers here can read English, they have access both to Western advances, and a Chinese language reservoir of knowledge and analysis. He anticipates that eventually the pace and depth of engineering implementation here will be unequaled.

IVF and genetic testing are huge businesses in China. Perhaps I'll comment more on this in the future. New technologies, in genomics as in other areas, tend to be received more positively here than in the US and Europe.

...

Note Added: In the comments AG points to a Quora post by a user called Janus Dongye Qimeng, an AI researcher in Cambridge UK, who seems to be a real China expert. I found these posts to be very interesting.

Infrastructure development in poor regions of China

Size of Chinese internet social network platforms

Can the US derail China 2025? (Core technology stacks in and outside China)

Huawei smartphone technology stack and impact of US entity list interdiction (software and hardware!)

Agriculture at Massive Scale

US-China AI competition

More recommenations: Bruno Maçães is one of my favorite modern geopolitical thinkers. A Straussian of sorts (PhD under Harvey Mansfield at Harvard), he was Secretary of State for European Affairs in Portugal, and has thought deeply about the future of Eurasia and of US-China relations. He spent the last year in Beijing and I was eager to meet with him while here. His recent essay Equilibrium Americanum appeared in the Berlin Policy Journal. Podcast interview -- we hope to have him on Manifold soon :-)
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july 2019 by nhaliday
macos - Converting cron to launchd - MAILTO - Stack Overflow
one way to convert to launchd is the lazy way (how i do it)

You pay $0.99 for Lingon from the app store; then you can just fill out a few fields and it makes the launchd...

otherwise: a launchd would look like this
q-n-a  stackex  howto  yak-shaving  osx  desktop  automation 
june 2019 by nhaliday
Basic Error Rates
This page describes human error rates in a variety of contexts.

Most of the error rates are for mechanical errors. A good general figure for mechanical error rates appears to be about 0.5%.

Of course the denominator differs across studies. However only fairly simple actions are used in the denominator.

The Klemmer and Snyder study shows that much lower error rates are possible--in this case for people whose job consisted almost entirely of data entry.

The error rate for more complex logic errors is about 5%, based primarily on data on other pages, especially the program development page.
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may 2019 by nhaliday
The first ethical revolution – Gene Expression
Fifty years ago Julian Jaynes published The Origin of Consciousness in the Breakdown of the Bicameral Mind. Seventy years ago Karl Jaspers introduced the concept of the Axial Age. Both point to the same dynamic historically.

Something happened in the centuries around 500 BCE all around the world. Great religions and philosophies arose. The Indian religious traditions, the Chinese philosophical-political ones, and the roots of what we can recognize as Judaism. In Greece, the precursors of many modern philosophical streams emerged formally, along with a variety of political systems.

The next few centuries saw some more innovation. Rabbinical Judaism transformed a ritualistic tribal religion into an ethical one, and Christianity universalized Jewish religious thought, as well as infusing it with Greek systematic concepts. Meanwhile, Indian and Chinese thought continued to evolve, often due to interactions each other (it is hard to imagine certain later developments in Confucianism without the Buddhist stimulus). Finally, in the 7th century, Islam emerges as the last great world religion.

...

Living in large complex societies with social stratification posed challenges. A religion such as Christianity was not a coincidence, something of its broad outlines may have been inevitable. Universal, portable, ethical, and infused with transcendence and coherency. Similarly, god-kings seem to have universally transformed themselves into the human who binds heaven to earth in some fashion.

The second wave of social-ethical transformation occurred in the early modern period, starting in Europe. My own opinion is that economic growth triggered by innovation and gains in productivity unleashed constraints which had dampened further transformations in the domain of ethics. But the new developments ultimately were simply extensions and modifications on the earlier “source code” (e.g., whereas for nearly two thousand years Christianity had had to make peace with the existence of slavery, in the 19th century anti-slavery activists began marshaling Christian language against the institution).
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april 2018 by nhaliday
The Hanson-Yudkowsky AI-Foom Debate - Machine Intelligence Research Institute
How Deviant Recent AI Progress Lumpiness?: http://www.overcomingbias.com/2018/03/how-deviant-recent-ai-progress-lumpiness.html
I seem to disagree with most people working on artificial intelligence (AI) risk. While with them I expect rapid change once AI is powerful enough to replace most all human workers, I expect this change to be spread across the world, not concentrated in one main localized AI system. The efforts of AI risk folks to design AI systems whose values won’t drift might stop global AI value drift if there is just one main AI system. But doing so in a world of many AI systems at similar abilities levels requires strong global governance of AI systems, which is a tall order anytime soon. Their continued focus on preventing single system drift suggests that they expect a single main AI system.

The main reason that I understand to expect relatively local AI progress is if AI progress is unusually lumpy, i.e., arriving in unusually fewer larger packages rather than in the usual many smaller packages. If one AI team finds a big lump, it might jump way ahead of the other teams.

However, we have a vast literature on the lumpiness of research and innovation more generally, which clearly says that usually most of the value in innovation is found in many small innovations. We have also so far seen this in computer science (CS) and AI. Even if there have been historical examples where much value was found in particular big innovations, such as nuclear weapons or the origin of humans.

Apparently many people associated with AI risk, including the star machine learning (ML) researchers that they often idolize, find it intuitively plausible that AI and ML progress is exceptionally lumpy. Such researchers often say, “My project is ‘huge’, and will soon do it all!” A decade ago my ex-co-blogger Eliezer Yudkowsky and I argued here on this blog about our differing estimates of AI progress lumpiness. He recently offered Alpha Go Zero as evidence of AI lumpiness:

...

In this post, let me give another example (beyond two big lumps in a row) of what could change my mind. I offer a clear observable indicator, for which data should have available now: deviant citation lumpiness in recent ML research. One standard measure of research impact is citations; bigger lumpier developments gain more citations that smaller ones. And it turns out that the lumpiness of citations is remarkably constant across research fields! See this March 3 paper in Science:

I Still Don’t Get Foom: http://www.overcomingbias.com/2014/07/30855.html
All of which makes it look like I’m the one with the problem; everyone else gets it. Even so, I’m gonna try to explain my problem again, in the hope that someone can explain where I’m going wrong. Here goes.

“Intelligence” just means an ability to do mental/calculation tasks, averaged over many tasks. I’ve always found it plausible that machines will continue to do more kinds of mental tasks better, and eventually be better at pretty much all of them. But what I’ve found it hard to accept is a “local explosion.” This is where a single machine, built by a single project using only a tiny fraction of world resources, goes in a short time (e.g., weeks) from being so weak that it is usually beat by a single human with the usual tools, to so powerful that it easily takes over the entire world. Yes, smarter machines may greatly increase overall economic growth rates, and yes such growth may be uneven. But this degree of unevenness seems implausibly extreme. Let me explain.

If we count by economic value, humans now do most of the mental tasks worth doing. Evolution has given us a brain chock-full of useful well-honed modules. And the fact that most mental tasks require the use of many modules is enough to explain why some of us are smarter than others. (There’d be a common “g” factor in task performance even with independent module variation.) Our modules aren’t that different from those of other primates, but because ours are different enough to allow lots of cultural transmission of innovation, we’ve out-competed other primates handily.

We’ve had computers for over seventy years, and have slowly build up libraries of software modules for them. Like brains, computers do mental tasks by combining modules. An important mental task is software innovation: improving these modules, adding new ones, and finding new ways to combine them. Ideas for new modules are sometimes inspired by the modules we see in our brains. When an innovation team finds an improvement, they usually sell access to it, which gives them resources for new projects, and lets others take advantage of their innovation.

...

In Bostrom’s graph above the line for an initially small project and system has a much higher slope, which means that it becomes in a short time vastly better at software innovation. Better than the entire rest of the world put together. And my key question is: how could it plausibly do that? Since the rest of the world is already trying the best it can to usefully innovate, and to abstract to promote such innovation, what exactly gives one small project such a huge advantage to let it innovate so much faster?

...

In fact, most software innovation seems to be driven by hardware advances, instead of innovator creativity. Apparently, good ideas are available but must usually wait until hardware is cheap enough to support them.

Yes, sometimes architectural choices have wider impacts. But I was an artificial intelligence researcher for nine years, ending twenty years ago, and I never saw an architecture choice make a huge difference, relative to other reasonable architecture choices. For most big systems, overall architecture matters a lot less than getting lots of detail right. Researchers have long wandered the space of architectures, mostly rediscovering variations on what others found before.

Some hope that a small project could be much better at innovation because it specializes in that topic, and much better understands new theoretical insights into the basic nature of innovation or intelligence. But I don’t think those are actually topics where one can usefully specialize much, or where we’ll find much useful new theory. To be much better at learning, the project would instead have to be much better at hundreds of specific kinds of learning. Which is very hard to do in a small project.

What does Bostrom say? Alas, not much. He distinguishes several advantages of digital over human minds, but all software shares those advantages. Bostrom also distinguishes five paths: better software, brain emulation (i.e., ems), biological enhancement of humans, brain-computer interfaces, and better human organizations. He doesn’t think interfaces would work, and sees organizations and better biology as only playing supporting roles.

...

Similarly, while you might imagine someday standing in awe in front of a super intelligence that embodies all the power of a new age, superintelligence just isn’t the sort of thing that one project could invent. As “intelligence” is just the name we give to being better at many mental tasks by using many good mental modules, there’s no one place to improve it. So I can’t see a plausible way one project could increase its intelligence vastly faster than could the rest of the world.

Takeoff speeds: https://sideways-view.com/2018/02/24/takeoff-speeds/
Futurists have argued for years about whether the development of AGI will look more like a breakthrough within a small group (“fast takeoff”), or a continuous acceleration distributed across the broader economy or a large firm (“slow takeoff”).

I currently think a slow takeoff is significantly more likely. This post explains some of my reasoning and why I think it matters. Mostly the post lists arguments I often hear for a fast takeoff and explains why I don’t find them compelling.

(Note: this is not a post about whether an intelligence explosion will occur. That seems very likely to me. Quantitatively I expect it to go along these lines. So e.g. while I disagree with many of the claims and assumptions in Intelligence Explosion Microeconomics, I don’t disagree with the central thesis or with most of the arguments.)
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april 2018 by nhaliday
Eternity in six hours: intergalactic spreading of intelligent life and sharpening the Fermi paradox
We do this by demonstrating that traveling between galaxies – indeed even launching a colonisation project for the entire reachable universe – is a relatively simple task for a star-spanning civilization, requiring modest amounts of energy and resources. We start by demonstrating that humanity itself could likely accomplish such a colonisation project in the foreseeable future, should we want to, and then demonstrate that there are millions of galaxies that could have reached us by now, using similar methods. This results in a considerable sharpening of the Fermi paradox.
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march 2018 by nhaliday
Information Processing: US Needs a National AI Strategy: A Sputnik Moment?
FT podcasts on US-China competition and AI: http://infoproc.blogspot.com/2018/05/ft-podcasts-on-us-china-competition-and.html

A new recommended career path for effective altruists: China specialist: https://80000hours.org/articles/china-careers/
Our rough guess is that it would be useful for there to be at least ten people in the community with good knowledge in this area within the next few years.

By “good knowledge” we mean they’ve spent at least 3 years studying these topics and/or living in China.

We chose ten because that would be enough for several people to cover each of the major areas listed (e.g. 4 within AI, 2 within biorisk, 2 within foreign relations, 1 in another area).

AI Policy and Governance Internship: https://www.fhi.ox.ac.uk/ai-policy-governance-internship/

https://www.fhi.ox.ac.uk/deciphering-chinas-ai-dream/
https://www.fhi.ox.ac.uk/wp-content/uploads/Deciphering_Chinas_AI-Dream.pdf
Deciphering China’s AI Dream
The context, components, capabilities, and consequences of
China’s strategy to lead the world in AI

Europe’s AI delusion: https://www.politico.eu/article/opinion-europes-ai-delusion/
Brussels is failing to grasp threats and opportunities of artificial intelligence.
By BRUNO MAÇÃES

When the computer program AlphaGo beat the Chinese professional Go player Ke Jie in a three-part match, it didn’t take long for Beijing to realize the implications.

If algorithms can already surpass the abilities of a master Go player, it can’t be long before they will be similarly supreme in the activity to which the classic board game has always been compared: war.

As I’ve written before, the great conflict of our time is about who can control the next wave of technological development: the widespread application of artificial intelligence in the economic and military spheres.

...

If China’s ambitions sound plausible, that’s because the country’s achievements in deep learning are so impressive already. After Microsoft announced that its speech recognition software surpassed human-level language recognition in October 2016, Andrew Ng, then head of research at Baidu, tweeted: “We had surpassed human-level Chinese recognition in 2015; happy to see Microsoft also get there for English less than a year later.”

...

One obvious advantage China enjoys is access to almost unlimited pools of data. The machine-learning technologies boosting the current wave of AI expansion are as good as the amount of data they can use. That could be the number of people driving cars, photos labeled on the internet or voice samples for translation apps. With 700 or 800 million Chinese internet users and fewer data protection rules, China is as rich in data as the Gulf States are in oil.

How can Europe and the United States compete? They will have to be commensurately better in developing algorithms and computer power. Sadly, Europe is falling behind in these areas as well.

...

Chinese commentators have embraced the idea of a coming singularity: the moment when AI surpasses human ability. At that point a number of interesting things happen. First, future AI development will be conducted by AI itself, creating exponential feedback loops. Second, humans will become useless for waging war. At that point, the human mind will be unable to keep pace with robotized warfare. With advanced image recognition, data analytics, prediction systems, military brain science and unmanned systems, devastating wars might be waged and won in a matter of minutes.

...

The argument in the new strategy is fully defensive. It first considers how AI raises new threats and then goes on to discuss the opportunities. The EU and Chinese strategies follow opposite logics. Already on its second page, the text frets about the legal and ethical problems raised by AI and discusses the “legitimate concerns” the technology generates.

The EU’s strategy is organized around three concerns: the need to boost Europe’s AI capacity, ethical issues and social challenges. Unfortunately, even the first dimension quickly turns out to be about “European values” and the need to place “the human” at the center of AI — forgetting that the first word in AI is not “human” but “artificial.”

https://twitter.com/mr_scientism/status/983057591298351104
https://archive.is/m3Njh
US military: "LOL, China thinks it's going to be a major player in AI, but we've got all the top AI researchers. You guys will help us develop weapons, right?"

US AI researchers: "No."

US military: "But... maybe just a computer vision app."

US AI researchers: "NO."

https://www.theverge.com/2018/4/4/17196818/ai-boycot-killer-robots-kaist-university-hanwha
https://www.nytimes.com/2018/04/04/technology/google-letter-ceo-pentagon-project.html
https://twitter.com/mr_scientism/status/981685030417326080
https://archive.is/3wbHm
AI-risk was a mistake.
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february 2018 by nhaliday
Reid Hofmann and Peter Thiel and technology and politics - Marginal REVOLUTION
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february 2018 by nhaliday
The Automated Public Sphere by Frank Pasquale :: SSRN
This article first describes the documented, negative effects of online propagandists’ interventions (and platforms’ neglect) in both electoral politics and the broader public sphere (Part I). It then proposes several legal and educational tactics to mitigate platforms’ power, or to encourage or require them to exercise it responsibly (Part II). The penultimate section (Part III) offers a concession to those suspicious of governmental intervention in the public sphere: some regimes are already too authoritarian or unreliable to be trusted with extensive powers of regulation over media (whether old or new media), or intermediaries. However, the inadvisability of extensive media regulation in disordered societies only makes this agenda more urgent in well-ordered societies, lest predictable pathologies of the automated public sphere degrade their processes of democratic will formation.
study  media  propaganda  info-dynamics  internet  automation  bots  social  facebook  google  tech  politics  polisci  law  rhetoric  regulation  madisonian 
november 2017 by nhaliday
The rise of robots in the German labour market | VOX, CEPR’s Policy Portal
Recent research has shown that industrial robots have caused severe job and earnings losses in the US. This column explores the impact of robots on the labour market in Germany, which has many more robots than the US and a much larger manufacturing employment share. Robots have had no aggregate effect on German employment, and robot exposure is found to actually increase the chances of workers staying with their original employer. This effect seems to be largely down to efforts of work councils and labour unions, but is also the result of fewer young workers entering manufacturing careers.
org:ngo  econotariat  study  summary  economics  labor  europe  germanic  usa  comparison  automation  heavy-industry  malaise  trends  data  maps  visualization  correlation 
september 2017 by nhaliday
The China Shock: Learning from Labor-Market Adjustment to Large Changes in Trade
Adjustment in local labor markets is remarkably slow, with wages and labor-force participation rates remaining depressed and unemployment rates remaining elevated for at least a full decade after the China trade shock commences. Exposed workers experience greater job churning and reduced lifetime income. At the national level, employment has fallen in the US industries more exposed to import competition, as expected, but offsetting employment gains in other industries have yet to materialize.

Slicing the Pie: Quantifying the Aggregate and Distributional Effects of Trade: http://www.nber.org/papers/w23737
We find that the China shock increases average welfare but some groups experience losses as high as five times the average gain. Adjusted for plausible measures of inequality aversion, gains in social welfare are positive and only slightly lower than with the standard aggregation.

The Surprisingly Swift Decline of US Manufacturing Employment: https://www.aeaweb.org/articles?id=10.1257/aer.20131578
- Justin R. Pierce, Peter K. Schott
This paper links the sharp drop in US manufacturing employment after 2000 to a change in US trade policy that eliminated potential tariff increases on Chinese imports. Industries more exposed to the change experience greater employment loss, increased imports from China, and higher entry by US importers and foreign-owned Chinese exporters. At the plant level, shifts toward less labor-intensive production and exposure to the policy via input-output linkages also contribute to the decline in employment. Results are robust to other potential explanations of employment loss, and there is no similar reaction in the European Union, where policy did not change.

China-Like Wages Now Part Of U.S. Employment Boom: https://www.forbes.com/sites/kenrapoza/2017/08/04/china-like-wages-now-part-of-u-s-employment-boom/

U.S. Companies Were Hurt by Trade With China Too: https://www.bloomberg.com/view/articles/2016-12-12/u-s-companies-were-hurt-by-trade-with-china-too
David Autor and David Dorn are two human wrecking balls smashing the edifice of economics consensus. For decades, the one big thing economists could agree on was that free trade, on balance, was good for the U.S. economy. Now, in a series of papers with a variety of co-authors, Autor and Dorn have shown that the dramatic increase in U.S. trade with China in the 2000s was a different and far more destructive beast -- a phenomenon commonly called the China Shock.

The first of these papers showed that the China Shock left deep and lasting scars on huge swathes of the American workforce. The second demonstrated that the China Shock increased political polarization. Now, together with Gordon Hanson, Pian Shu, and Gary Pisano, the wrecking-ball duo have a third paper, showing that the China Shock decreased U.S. corporate innovation.

Importing Political Polarization?: The Electoral Consequences of Rising Trade Exposure: http://economics.mit.edu/files/11499
Trade-exposed districts with an initial majority white population or initially in Republican hands became substantially more likely to elect a conservative Republican, while trade-exposed districts with an initial majority-minority population or initially in Democratic hands became more likely to elect a liberal Democrat.

The China Shock was Matched by a China Boom: http://marginalrevolution.com/marginalrevolution/2018/01/china-shock-matched-china-boom.html
Our results fit the textbook story that job opportunities in exports make up for jobs lost in import-competing industries, or nearly so. Once we consider the export side, the negative employment effect of trade is much smaller than is implied in the previous literature. Although our analysis finds net job losses in the manufacturing sector for the US, there are remarkable job gains in services, suggesting that international trade has an impact on the labour market according to comparative advantage. The US has comparative advantages in services, so that overall trade led to higher employment through the increased demand for service jobs.
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august 2017 by nhaliday
THE GROWING IMPORTANCE OF SOCIAL SKILLS IN THE LABOR MARKET*
key fact: cognitive ability is not growing in importance, but non-cognitive ability is

The labor market increasingly rewards social skills. Between 1980 and 2012, jobs requiring high levels of social interaction grew by nearly 12 percentage points as a share of the U.S. labor force. Math-intensive but less social jobs—including many STEM occupations—shrank by 3.3 percentage points over the same period. Employment and wage growth was particularly strong for jobs requiring high levels of both math skill and social skill. To understand these patterns, I develop a model of team production where workers “trade tasks” to exploit their comparative advantage. In the model, social skills reduce coordination costs, allowing workers to specialize and work together more efficiently. The model generates predictions about sorting and the relative returns to skill across occupations, which I investigate using data from the NLSY79 and the NLSY97. Using a comparable set of skill measures and covariates across survey waves, I find that the labor market return to social skills was much greater in the 2000s than in the mid 1980s and 1990s. JEL Codes: I20, I24, J01, J23, J24, J31

The Increasing Complementarity between Cognitive and Social Skills: http://econ.ucsb.edu/~weinberg/MathSocialWeinberger.pdf

The Changing Roles of Education and Ability in Wage Determination: http://business.uow.edu.au/content/groups/public/@web/@commerce/@research/documents/doc/uow130116.pdf

Intelligence and socioeconomic success: A meta-analytic review of longitudinal research: http://www.emilkirkegaard.dk/en/wp-content/uploads/Intelligence-and-socioeconomic-success-A-meta-analytic-review-of-longitudinal-research.pdf
Moderator analyses showed that the relationship between intelligence and success is dependent on the age of the sample but there is little evidence of any historical trend in the relationship.

https://twitter.com/khazar_milkers/status/898996206973603840
https://archive.is/7gLXv
that feelio when america has crossed an inflection point and EQ is obviously more important for success in todays society than IQ
I think this is how to understand a lot of "corporate commitment to diversity" stuff.Not the only reason ofc, but reason it's so impregnable
compare: https://pinboard.in/u:nhaliday/b:e9ac3d38e7a1
and: https://pinboard.in/u:nhaliday/b:a38f5756170d

g-reliant skills seem most susceptible to automation: https://fredrikdeboer.com/2017/06/14/g-reliant-skills-seem-most-susceptible-to-automation/

THE ERROR TERM: https://spottedtoad.wordpress.com/2018/02/19/the-error-term/
Imagine an objective function- something you want to maximize or minimize- with both a deterministic and a random component.

...

Part of y is rules-based and rational, part is random and outside rational control. Obviously, the ascent of civilization has, to the extent it has taken place, been based on focusing energies on those parts of the world that are responsive to rational interpretation and control.

But an interesting thing happens once automated processes are able to take over the mapping of patterns onto rules. The portion of the world that is responsive to algorithmic interpretation is also the rational, rules-based portion, almost tautologically. But in terms of our actual objective functions- the real portions of the world that we are trying to affect or influence- subtracting out the portion susceptible to algorithms does not eliminate the variation or make it unimportant. It simply makes it much more purely random rather than only partially so.

The interesting thing, to me, is that economic returns accumulate to the random portion of variation just as to the deterministic portion. In fact, if everybody has access to the same algorithms, the returns may well be largely to the random portion. The efficient market hypothesis in action, more or less.

...

But more generally, as more and more of the society comes under algorithmic control, as various forms of automated intelligence become ubiquitous, the remaining portion, and the portion for which individual workers are rewarded, might well become more irrational, more random, less satisfying, less intelligent.

Golden age for team players: https://news.harvard.edu/gazette/story/2017/10/social-skills-increasingly-valuable-to-employers-harvard-economist-finds/
Strong social skills increasingly valuable to employers, study finds

Number of available jobs by skill set (over time)

Changes in hourly wages by skill set (over time)

https://twitter.com/GarettJones/status/947904725294260224
https://archive.is/EEQA9
A resolution for the new year: Remember that intelligence is a predictor of social intelligence!
pdf  study  economics  econometrics  trends  labor  intelligence  iq  personality  psych-architecture  compensation  human-capital  🎩  data  regularizer  hmm  career  planning  long-term  stylized-facts  management  polarization  stagnation  inequality  leadership  longitudinal  chart  zeitgeist  s-factor  history  mostly-modern  usa  correlation  gnon  🐸  twitter  social  memes(ew)  pic  discussion  diversity  managerial-state  unaffiliated  left-wing  automation  gender  backup  westminster  multi  working-stiff  news  org:edu  time-series  :/  coordination  collaboration  money  medicine  law  teaching  education  tech  dirty-hands  engineering  supply-demand  ratty  large-factor  signal-noise  order-disorder  random  technocracy  branches  unintended-consequences  ai  prediction  speculation  theory-of-mind 
august 2017 by nhaliday
Is the U.S. Aggregate Production Function Cobb-Douglas? New Estimates of the Elasticity of Substitution∗
world-wide: http://www.socsci.uci.edu/~duffy/papers/jeg2.pdf
https://www.weforum.org/agenda/2016/01/is-the-us-labour-share-as-constant-as-we-thought
https://www.economicdynamics.org/meetpapers/2015/paper_844.pdf
We find that IPP capital entirely explains the observed decline of the US labor share, which otherwise is secularly constant over the past 65 years for structures and equipment capital. The labor share decline simply reflects the fact that the US economy is undergoing a transition toward a larger IPP sector.
https://ideas.repec.org/p/red/sed015/844.html
http://www.robertdkirkby.com/blog/2015/summary-of-piketty-i/
https://www.brookings.edu/bpea-articles/deciphering-the-fall-and-rise-in-the-net-capital-share/
The Fall of the Labor Share and the Rise of Superstar Firms: http://www.nber.org/papers/w23396
The Decline of the U.S. Labor Share: https://www.brookings.edu/wp-content/uploads/2016/07/2013b_elsby_labor_share.pdf
Table 2 has industry disaggregation
Estimating the U.S. labor share: https://www.bls.gov/opub/mlr/2017/article/estimating-the-us-labor-share.htm

Why Workers Are Losing to Capitalists: https://www.bloomberg.com/view/articles/2017-09-20/why-workers-are-losing-to-capitalists
Automation and offshoring may be conspiring to reduce labor's share of income.
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july 2017 by nhaliday
Overcoming Bias : A Tangled Task Future
So we may often retain systems that inherit the structure of the human brain, and the structures of the social teams and organizations by which humans have worked together. All of which is another way to say: descendants of humans may have a long future as workers. We may have another future besides being retirees or iron-fisted peons ruling over gods. Even in a competitive future with no friendly singleton to ensure preferential treatment, something recognizably like us may continue. And even win.
ratty  hanson  speculation  automation  labor  economics  ems  futurism  prediction  complex-systems  network-structure  intricacy  thinking  engineering  management  law  compensation  psychology  cog-psych  ideas  structure  gray-econ  competition  moloch  coordination  cooperate-defect  risk  ai  ai-control  singularity  number  humanity  complement-substitute  cybernetics  detail-architecture  legacy  threat-modeling  degrees-of-freedom  composition-decomposition  order-disorder  analogy  parsimony  institutions  software  coupling-cohesion 
june 2017 by nhaliday
Yale Law Journal - Amazon's Antitrust Paradox
This Note argues that the current framework in antitrust—specifically its pegging competition to “consumer welfare,” defined as short-term price effects—is unequipped to capture the architecture of market power in the modern economy. We cannot cognize the potential harms to competition posed by Amazon’s dominance if we measure competition primarily through price and output. Specifically, current doctrine underappreciates the risk of predatory pricing and how integration across distinct business lines may prove anticompetitive. These concerns are heightened in the context of online platforms for two reasons. First, the economics of platform markets create incentives for a company to pursue growth over profits, a strategy that investors have rewarded. Under these conditions, predatory pricing becomes highly rational—even as existing doctrine treats it as irrational and therefore implausible. Second, because online platforms serve as critical intermediaries, integrating across business lines positions these platforms to control the essential infrastructure on which their rivals depend. This dual role also enables a platform to exploit information collected on companies using its services to undermine them as competitors.

https://www.theatlantic.com/business/archive/2017/06/why-amazon-bought-whole-foods/530652/
https://gnxp.nofe.me/2017/06/17/the-distribution-channel-comes-to-you/
https://www.forbes.com/sites/panosmourdoukoutas/2017/06/18/amazon-whole-foods-deal-is-bad-news-for-store-cashiers-and-the-fight-for-15-minimum-wage/
Amazon Must Be Stopped: https://newrepublic.com/article/119769/amazons-monopoly-must-be-broken-radical-plan-tech-giant

Amazon Will Go To Denver: https://gnxp.nofe.me/2017/09/10/amazon-will-go-to-denver/
https://www.nytimes.com/interactive/2017/09/09/upshot/where-should-amazon-new-headquarters-be.html
http://www.paddypower.com/bet?action=go_event&category=SPECIALS&ev_class_id=45&ev_type_id=22711&ev_id=13023353&force_racing_css=&ev_desc=Where%20will%20Amazon%20build%20their%20Second%20Headquarters?
https://www.seattletimes.com/business/amazon/this-city-hall-brought-to-you-by-amazon/
Real things cities are offering to get Amazon HQ2
*Chicago: Let Amazon keep employees' income tax
*SoCal: Give away $100M in land
*Boston: City employees working just for Amazon
*Fresno: Let Amazon decide how to spend tax dollars

https://www.wsj.com/articles/rules-of-engagement-how-cities-are-courting-amazons-new-headquarters-1522661401
Washington, D.C., might have a leg up, having already hosted Amazon Chief Executive Jeff Bezos for visits when he considered acquiring the Washington Post, which he now owns. Mr. Bezos also purchased the former Textile Museum in Washington’s Kalorama neighborhood for $23 million in 2016 and is currently turning it into a private residence.

28-year-old makes millions buying from Walmart, selling on Amazon: https://www.msn.com/en-us/money/companies/28-year-old-makes-millions-buying-from-walmart-selling-on-amazon/ar-AAupB8i

https://twitter.com/DKThomp/status/954028684788273153
https://twitter.com/hyperplanes/status/954020562262781952
https://archive.is/uNk1p
https://archive.is/phiTA
Thread: Why Amazon’s HQ2 is going to Fairfax County

https://www.bloomberg.com/view/articles/2018-01-19/amazon-is-sure-acting-like-it-s-going-to-pick-the-d-c-area

https://twitter.com/NeonPeonage/status/955436146183561216
https://archive.is/lJeaz
walmart is the only entity that has even a slim chance at preventing jeff bezos from intermediating every commodity exchange in the world, u must respect

https://twitter.com/holerepairer/status/955469951833436160
https://archive.is/ig58T
"I tried to save you, but you didn't listen. Now you'll have to face Him alone..."

What Amazon does to wages: https://www.economist.com/news/united-states/21735020-worlds-largest-retailer-underpaying-its-employees-what-amazon-does-wages
Is the world’s largest retailer underpaying its employees?

Flat or falling industry wages are common in the cities and towns where Amazon opens distribution centres, according to an analysis by The Economist. Government figures show that after Amazon opens a storage depot, local wages for warehouse workers fall by an average of 3%. In places where Amazon operates, such workers earn about 10% less than similar workers employed elsewhere.

What Amazon Does to Poor Cities: https://www.theatlantic.com/business/archive/2018/02/amazon-warehouses-poor-cities/552020/
The debate over Amazon’s HQ2 obscures the company’s rapid expansion of warehouses in low-income areas.

The Facts Behind Trump’s Tweets on Amazon, Taxes and the Postal Service: https://www.nytimes.com/2018/03/29/us/politics/trump-amazon-post-office-fact-check.html

If Workers Slack Off, the Wristband Will Know. (And Amazon Has a Patent for It.): https://www.nytimes.com/2018/02/01/technology/amazon-wristband-tracking-privacy.html
https://www.npr.org/sections/thetwo-way/2018/02/01/582370715/wrist-watching-amazon-patents-system-to-track-guide-employees-hands
https://boingboing.net/2018/02/02/amazon-patent-could-lead-to-do.html
https://www.jwz.org/blog/2018/02/amazon-patents-wristbands-shock-collars-designed-to-steer-employees-movements/

auto-management -> automation dystopia: http://marshallbrain.com/manna.htm

Amazon’s vision for the future: delivery drone beehives in every city: https://www.theverge.com/2017/6/23/15860668/amazon-drone-delivery-patent-city-centers
article  essay  study  law  business  industrial-org  market-power  rent-seeking  amazon  sv  tech  markets  capitalism  winner-take-all  multi  news  org:mag  org:biz  gnxp  scitariat  commentary  current-events  org:lite  right-wing  corporation  trends  zeitgeist  rhetoric  barons  management  org:rec  usa  the-west  video  profile  arbitrage  entrepreneurialism  microbiz  feudal  prediction  prediction-markets  power  org:local  twitter  social  discussion  speculation  backup  the-south  virginia-DC  planning  career  org:bv  econotariat  marginal-rev  inequality  gnon  🐸  memes(ew)  data  econ-metrics  marginal  malaise  supply-demand  labor  coming-apart  compensation  intervention  branches  org:anglo  automation  techtariat  ai  scifi-fantasy  pessimism  optimism  orwellian  vampire-squid  left-wing  trump  media  propaganda  taxes  government  capital 
june 2017 by nhaliday
Young Men Are Playing Video Games Instead of Getting Jobs. That's OK. (For Now.) - Reason.com
https://www.dropbox.com/s/al533ecu82w29y1/BusinessCycleFallout.pdf
https://twitter.com/MarkKoyama/status/881893997706399744
This is like a reversal of the industrious revolution studied in my JEBO paper: new consumption technologies are money cheap but time pricey
http://www.nber.org/papers/w23552
https://www.1843magazine.com/features/escape-to-another-world
https://news.ycombinator.com/item?id=13723996
http://marginalrevolution.com/marginalrevolution/2016/07/what-are-young-men-doing.html
https://www.firstthings.com/blogs/firstthoughts/2016/08/americas-lost-boys

http://www.arnoldkling.com/blog/work-becomes-optional/
participation has changed along an understudied margin of labor supply. I find that “in-and-outs”—men who temporarily leave the labor force—represent a growing fraction of prime age men across multiple data sources and are responsible for roughly one third of the decline in the participation rate since 1977. In-and-outs take short, infrequent breaks out of the labor force in between jobs, but they are otherwise continuously attached to the labor force. Leading explanations for the growing share of permanent labor force dropouts, such as disability, do not apply to in-and-outs. Instead, reduced-form evidence and a structural model of household labor supply both indicate that the rise of in-and-outs reflects a shift in labor supply, largely due to the increasing earnings of men’s partners and the growth of men living with their parents.

Pointer from Tyler Cowen. My thoughts:

1. When we think of labor force participation declining, we think of, say, John Smith, deciding to never work again. What this paper is saying is that the statistics reflect something different. One month Smith takes a break, then next month he gets a job and Tom Jones takes a break.

2. I think we have always had a large number of workers who are not fully employed year round. That is, there have always been a lot of workers who take breaks between jobs. This is common in construction work, for example.

3. I don’t know if this matters for the phenomenon at hand, but we used to have inventory recessions. In those cases, workers would be out of a job for a while, but they would still be in the labor force, because they were waiting to be recalled by the firm that had laid them off.

4. It seems to me that this is an important paper. Re-read the last sentence in the quoted excerpt.

Job outlook growing worse for young American men: https://www.courier-journal.com/story/opinion/contributors/2018/01/02/job-outlook-growing-worse-young-american-men-opinion/996922001/
As one might imagine, the absence of a job, quality education, or spouse has not bred otherwise productive citizens. Multiple studies have found that young men have replaced what would otherwise be working hours with leisure time at a near 1-1 ratio. Erik Hurst, an economist at the University of Chicago, found that young men spent a startling 75 percent of this leisure time playing video games, with many spending more than 30 hours a week gaming and over 5 million Americans spending more than 45 hours per week.

Higher suicide rates, violent crime, and drug addiction among young men have followed. Suicide rates in the United States are at a 30-year high, with men more than three and a half times more likely to take their own lives than women. Around the United States, violent crimes, homicide in particular, has increased in two-thirds of American cities, with overwhelming young male perpetrators driving the increase. A 2015 Brookings Institute study estimated that nearly half of working-age American men who are out of the labor force are using painkillers, daily.

These problems have been “invisible” for too long.

As video games get better, young men work less and play more: http://review.chicagobooth.edu/economics/2017/article/video-games-get-better-young-men-work-less-and-play-more

Why Are Prime-Age Men Vanishing from the Labor Force?: https://www.kansascityfed.org/~/media/files/publicat/econrev/econrevarchive/2018/1q18tuzemen.pdf

Prime-Age Men May Never Return to U.S. Workforce, Fed Paper Says: https://www.bloomberg.com/news/articles/2018-02-23/prime-age-men-may-never-return-to-u-s-workforce-fed-paper-says
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june 2017 by nhaliday
The Bridge: 数字化 – 网络化 – 智能化: China’s Quest for an AI Revolution in Warfare
The PLA’s organizational tendencies could render it more inclined to take full advantage of the disruptive potential of artificial intelligence, without constraints due to concerns about keeping humans ‘in the loop.’ In its command culture, the PLA has tended to consolidate and centralize authorities at higher levels, remaining reluctant to delegate decision-making downward. The introduction of information technology has exacerbated the tendency of PLA commanders to micromanage subordinates through a practice known as “skip-echelon command” (越级指挥) that enables the circumvention of command bureaucracy to influence units and weapons systems at even a tactical level.[xxviii] This practice can be symptomatic of a culture of distrust and bureaucratic immaturity. The PLA has confronted and started to progress in mitigating its underlying human resource challenges, recruiting increasingly educated officers and enlisted personnel, while seeking to modernize and enhance political and ideological work aimed to ensure loyalty to the Chinese Communist Party. However, the employment of artificial intelligence could appeal to the PLA as a way to circumvent and work around those persistent issues. In the long term, the intersection of the PLA’s focus on ‘scientific’ approaches to warfare with the preference to consolidate and centralize decision-making could cause the PLA’s leadership to rely more upon artificial intelligence, rather than human judgment.
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june 2017 by nhaliday
How important was colonial trade for the rise of Europe? | Economic Growth in History
The latter view became the orthodoxy among economists and economic historians after Patrick O’Brien’s 1982 paper, which in one of many of Patrick’s celebrated phrases, claims that “”the periphery vs peripheral” for Europe. He concludes the paper by writing:

“[G]rowth, stagnation, and decay everywhere in Western Europe can be explained mainly by reference to endogenous forces. … for the economic growth of the core, the periphery was peripheral.”

This is the view that remarkable scholars such as N. Crafts, Deirdre McCloskey, or Joel Mokyr repeat today (though Crafts would argue cotton imports would have mattered in a late stage, and my reading of Mokyr is that he has softened his earlier view from the 1980s a little, specifically in the book The Enlightened Economy.) Even recently, Brad deLong has classifyied O’Brien’s 1982 position as “air tight”.

Among economists and economic historians more on the economics side, I would say that O’Brien’s paper was only one of two strong hits against the “Worlds-System” and related schools of thoughts of the 1970s, the other hit being Solow’s earlier conclusion that TFP growth (usually interpreted as technology, though there’s more to it than that) has accounted for economic growth a great deal more than capital accumulation, which is what Hobsbawm and Wallerstein, in their neo-Marxist framework, emphasize.

https://twitter.com/tcjfs/status/890034395456974848
A friend tonight, on the third world and the first world, and our relationships to the past: "They don't forget, and we don't remember."
https://twitter.com/edwest/status/872337163458932736
imo the European Intifada is being fueled by anti-Europeanism & widely taught ideas like this one discussed - Europe stole its riches

https://www.thinkpragati.com/opinion/1863/dont-blame-empire/
The British Empire was cruel, rapacious and racist. But contrary to what Shashi Tharoor writes in An Era Of Darkness, the fault for India’s miseries lies upon itself.

Indeed, the anti-Tharoor argument is arguably closer to the truth, because the British tended to use the landlord system in places where landlords were already in place, and at times when the British were relatively weak and couldn’t afford to upset tradition. Only after they became confident in their power did the British start to bypass the landlord class and tax the cultivators directly. King’s College London historian Jon Wilson (2016) writes in India Conquered, “Wherever it was implemented, raiyatwar began as a form of military rule.” Thus the system that Tharoor implicitly promotes, and which is associated with higher agricultural productivity today, arose from the very same colonialism that he blames for so many of India’s current woes. History does not always tell the parables that we wish to hear.

...

India’s share of the world economy was large in the eighteenth century for one simple reason: when the entire world was poor, India had a large share of the world’s population. India’s share fell because with the coming of the Industrial Revolution, Europe and North America saw increases of income per capita to levels never before seen in all of human history. This unprecedented growth cannot be explained by Britain’s depredations against India. Britain was not importing steam engines from India.

The big story of the Great Divergence is not that India got poorer, but that other countries got much richer. Even at the peak of Mughal wealth in 1600, the best estimates of economic historians suggest that GDP per capita was 61% higher in Great Britain. By 1750–before the battle of Plassey and the British takeover–GDP per capita in Great Britain was more than twice what it was in India (Broadberry, Custodis, and Gupta 2015). The Great Divergence has long roots.

Tharoor seems blinded by the glittering jewels of the Maharajas and the Mughals. He writes with evident satisfaction that when in 1615 the first British ambassador presented himself to the court of Emperor Jehangir in Agra, “the Englishman was a supplicant at the feet of the world’s mightiest and most opulent monarch.” True; but the Emperor’s opulence was produced on the backs of millions of poor subjects. Writing at the same time and place, the Dutch merchant Francisco Pelsaert (1626) contrasted the “great superfluity and absolute power” of the rich with “the utter subjection and poverty of the common people–poverty so great and miserable that the life of the people can be depicted…only as the home of stark want and the dwelling-place of bitter woe.” Indian rulers were rich because the empire was large and inequality was extreme.

In pre-colonial India the rulers, both Mughal and Maratha, extracted _anywhere from one-third to one half of all gross agricultural output_ and most of what was extracted was spent on opulence and the armed forces, not on improving agricultural productivity (Raychaudhuri 1982).

...

The British were awful rulers but the history of India is a long story of awful rulers (just as it is for most countries). Indeed, by Maddison’s (2007) calculations _the British extracted less from the Indian economy than did the Mughal Dynasty_. The Mughals built their palaces in India while the British built most of their palaces in Britain, but that was little comfort to the Indian peasant who paid for both. The Kohinoor diamond that graces the cover of Inglorious Empire is a telling symbol. Yes, it was stolen by the British (who stole it from the Sikhs who stole it from the Afghanis who stole it from the Mughals who stole it from one of the kings of South India). But how many Indians would have been better off if this bauble had stayed in India? Perhaps one reason why more Indians didn’t take up arms against the British was that for most of them, British rule was a case of meet the new boss, same as the old boss.

more for effect on colonies: https://pinboard.in/u:nhaliday/b:4b0128372fe9

INDIA AND THE GREAT DIVERGENCE: AN ANGLO-INDIAN COMPARISON OF GDP PER CAPITA, 1600-1871: http://eh.net/eha/wp-content/uploads/2013/11/Guptaetal.pdf
This paper provides estimates of Indian GDP constructed from the output side for the pre-1871 period, and combines them with population estimates to track changes in living standards. Indian per capita GDP declined steadily during the seventeenth and eighteenth centuries before stabilising during the nineteenth century. As British living standards increased from the mid-seventeenth century, India fell increasingly behind. Whereas in 1600, Indian per capita GDP was over 60 per cent of the British level, by 1871 it had fallen to less than 15 per cent. As well as placing the origins of the Great Divergence firmly in the early modern period, the estimates suggest a relatively prosperous India at the height of the Mughal Empire, with living standards well above bare bones subsistence.

https://twitter.com/pseudoerasmus/status/832288984009207810
but some of the Asian wage data (especialy India) have laughably small samples (see Broadberry & Gupta)

How profitable was colonialism for various European powers?: https://www.reddit.com/r/AskHistorians/comments/p1q1q/how_profitable_was_colonialism_for_various/

How did Britain benefit from colonising India? What did colonial powers gain except for a sense of power?: https://www.quora.com/How-did-Britain-benefit-from-colonising-India-What-did-colonial-powers-gain-except-for-a-sense-of-power
The EIC period was mostly profitable, though it had recurring problems with its finances. The initial voyages from Surat in 1600s were hugely successful and brought profits as high as 200%. However, the competition from the Dutch East India Company started to drive down prices, at least for spices. Investing in EIC wasn’t always a sure shot way to gains - British investors who contributed to the second East India joint stock of 1.6 million pounds between 1617 and 1632 ended up losing money.

...

An alternate view is that the revenues of EIC were very small compared to the GDP of Britain, and hardly made an impact to the overall economy. For instance, the EIC Revenue in 1800 was 7.8m pounds while the British GDP in the same period was 343m pounds, and hence EIC revenue was only 2% of the overall GDP. (I got these figures from an individual blog and haven’t verified them).

...

The British Crown period - The territory of British India Provinces had expanded greatly and therefore the tax revenues had grown in proportion. The efficient taxation system paid its own administrative expenses as well as the cost of the large British Indian Army. British salaries were lucrative - the Viceroy received £25,000 a year, and Governors £10,000 for instance besides the lavish amenities in the form of subsidized housing, utilities, rest houses, etc.

...

Indian eminent intellectual, Dadabhai Naoroji wrote how the British systematically ensured the draining of Indian economy of its wealth and his theory is famously known as ‘Drain of Wealth’ theory. In his book 'Poverty' he estimated a 200–300 million pounds loss of revenue to Britain that is not returned.

At the same time, a fair bit of money did go back into India itself to support further colonial infrastructure. Note the explosion of infrastructure (Railway lines, 100+ Cantonment towns, 60+ Hill stations, Courthouses, Universities, Colleges, Irrigation Canals, Imperial capital of New Delhi) from 1857 onward till 1930s. Of course, these infrastructure projects were not due to any altruistic motive of the British. They were intended to make their India empire more secure, comfortable, efficient, and to display their grandeur. Huge sums of money were spent in the 3 Delhi Durbars conducted in this period.

So how profitable was the British Crown period? Probably not much. Instead bureaucracy, prestige, grandeur, comfort reigned supreme for the 70,000 odd British people in India.

...

There was a realization in Britain that colonies were not particularly economically beneficial to the home economy. … [more]
econotariat  broad-econ  article  history  early-modern  age-of-discovery  europe  the-great-west-whale  divergence  conquest-empire  economics  growth-econ  roots  trade  endo-exo  patho-altruism  expansionism  multi  twitter  social  discussion  gnon  unaffiliated  right-wing  🎩  attaq  albion  journos-pundits  mokyr-allen-mccloskey  cjones-like  big-picture  chart  news  org:mag  org:foreign  marginal-rev  wealth-of-nations  britain  india  asia  cost-benefit  leviathan  antidemos  religion  islam  class  pop-structure  nationalism-globalism  authoritarianism  property-rights  agriculture  econ-metrics  data  scale  government  industrial-revolution  pdf  regularizer  pseudoE  measurement  volo-avolo  time-series  anthropology  macro  sapiens  books  review  summary  counterfactual  stylized-facts  critique  heavy-industry  pre-ww2  study  technology  energy-resources  labor  capitalism  debate  org:data  org:lite  commentary  usa  piketty  variance-components  automation  west-hunter  scitariat  visualization  northeast  the-south  aphorism  h2o  fluid 
june 2017 by nhaliday
The make-or-buy decision with respect to human capital | askblog
Note, however, that this supposed decrease in the share of long-term relationships between employers and employees is not so evident in the data.

Still, I think that the trend is toward firms making more and more use of generic software. (I predicted this almost twenty years ago.) In fact, software-development specialists make more and more use of generic software.

Gary Becker developed the distinction between specific human capital, which is tied to a particular firm, and generic human capital, which can be used anywhere. The more that firms outsource non-core functions and make use of generic software the less they need to invest in specific human capital. Thus, they will tend to do less talent-building and act more like “consumers of work.”
econotariat  cracker-econ  prediction  trends  labor  automation  human-capital  long-short-run  microfoundations  big-peeps 
june 2017 by nhaliday
[1705.08807] When Will AI Exceed Human Performance? Evidence from AI Experts
Researchers predict AI will outperform humans in many activities in the next ten years, such as translating languages (by 2024), writing high-school essays (by 2026), driving a truck (by 2027), working in retail (by 2031), writing a bestselling book (by 2049), and working as a surgeon (by 2053). Researchers believe there is a 50% chance of AI outperforming humans in all tasks in 45 years and of automating all human jobs in 120 years, with Asian respondents expecting these dates much sooner than North Americans.

https://www.reddit.com/r/slatestarcodex/comments/6dy6ex/arxiv_when_will_ai_exceed_human_performance/
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may 2017 by nhaliday
Assortive mating and income inequality | West Hunter
More than in the past, we have doctors marrying other doctors, rather than nurses, basically because of an increase in assortative mating for education. Ceteris paribus, this would tend to cause greater income equality among families. Is it the main driver of increasing income inequality?

Not at all. Most of the increase over the last 30 years has been among business executives and people working in finance. Since 1979, 58% of the expansion of income of the top 1% of households has this origin. For the top 0.1% of households, it’s been 67%.

...

Now I’m about to say something a little dangerous – so get your nitroglycerin pills ready.

Maybe those finance guys and CEOs are delivering enormously more value than they did in the 1950s!

For those remaining readers that haven’t died laughing, increased assortative mating probably has contributed to income inequality. Just not very much. Changes in the tax code, outsourcing, automation, smothering the board of directors in cream, and inattentive stockholders all matter more.

capital gains: https://westhunt.wordpress.com/2014/03/21/assortive-mating-and-income-inequality/#comment-24318
http://www.theamericanconservative.com/millman/assortative-mating-and-income-inequality/
Educational Homogamy and Assortative Mating Have Not Increased: http://sci-hub.tw/http://www.nber.org/papers/w22927.pdf
1960-2010, so all post WW2
https://twitter.com/whyvert/status/840379325908049920
Highly educated women partner more often “downwards” and medium educated women partner less often “upwards”
The new assortative mating (phenotypical, perhaps no change in genotypical assortative mating) due to women outnumbering men at university
If this means less genotypic assortative mating, then BAD NEWS: the smart fraction will shrink, and #decline will accelerate
Counterrevolutionary and reactionary elements warned it was a mistake to debauch higher education by over-expansion. Maybe they were right?
https://link.springer.com/article/10.1007/s10680-016-9407-z
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may 2017 by nhaliday
Interview: Mostly Sealing Wax | West Hunter
https://soundcloud.com/user-519115521/greg-cochran-part-2
https://medium.com/@houstoneuler/annotating-part-2-of-the-greg-cochran-interview-with-james-miller-678ba33f74fc

- conformity and Google, defense and spying (China knows prob almost all our "secrets")
- in the past you could just find new things faster than people could reverse-engineer. part of the problem is that innovation is slowing down today (part of the reason for convergence by China/developing world).
- introgression from archaics of various kinds
- mutational load and IQ, wrath of khan neanderthal
- trade and antiquity (not that useful besides ideas tbh), Roman empire, disease, smallpox
- spices needed to be grown elsewhere, but besides that...
- analogy: caste system in India (why no Brahmin car repairmen?), slavery in Greco-Roman times, more water mills in medieval times (rivers better in north, but still could have done it), new elite not liking getting hands dirty, low status of engineers, rise of finance
- crookery in finance, hedge fund edge might be substantially insider trading
- long-term wisdom of moving all manufacturing to China...?
- economic myopia: British financialization before WW1 vis-a-vis Germany. North vs. South and cotton/industry, camels in Middle East vs. wagons in Europe
- Western medicine easier to convert to science than Eastern, pseudoscience and wrong theories better than bag of recipes
- Greeks definitely knew some things that were lost (eg, line in Pliny makes reference to combinatorics calculation rediscovered by German dude much later. think he's referring to Catalan numbers?), Lucio Russo book
- Indo-Europeans, Western Europe, Amerindians, India, British Isles, gender, disease, and conquest
- no farming (Dark Age), then why were people still farming on Shetland Islands north of Scotland?
- "symbolic" walls, bodies with arrows
- family stuff, children learning, talking dog, memory and aging
- Chinese/Japanese writing difficulty and children learning to read
- Hatfield-McCoy feud: the McCoy family was actually a case study in a neurological journal. they had anger management issues because of cancers of their adrenal gland (!!).

the Chinese know...: https://macropolo.org/casting-off-real-beijings-cryptic-warnings-finance-taking-economy/
Over the last couple of years, a cryptic idiom has crept into the way China’s top leaders talk about risks in the country’s financial system: tuo shi xiang xu (脱实向虚), which loosely translates as “casting off the real for the empty.” Premier Li Keqiang warned against it at his press conference at the end of the 2016 National People’s Congress (NPC). At this year’s NPC, Li inserted this very expression into his annual work report. And in April, while on an inspection tour of Guangxi, President Xi Jinping used the term, saying that China must “unceasingly promote industrial modernization, raise the level of manufacturing, and not allow the real to be cast off for the empty.”

Such an odd turn of phrase is easy to overlook, but it belies concerns about a significant shift in the way that China’s economy works. What Xi and Li were warning against is typically called financialization in developed economies. It’s when “real” companies—industrial firms, manufacturers, utility companies, property developers, and anyone else that produces a tangible product or service—take their money and, rather than put it back into their businesses, invest it in “empty”, or speculative, assets. It occurs when the returns on financial investments outstrip those in the real economy, leading to a disproportionate amount of money being routed into the financial system.

https://twitter.com/gcochran99/status/1160589827651203073
https://archive.is/Yzjyv
Bad day for Lehman Bros.
--
Good day for everyone else, then.
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may 2017 by nhaliday
Sending Jobs Overseas
*The Great Convergence*: http://marginalrevolution.com/marginalrevolution/2016/11/the-great-convergence.html

Richard Baldwin on the New Globalization: https://marginalrevolution.com/marginalrevolution/2018/04/the-new-globalization.html
To really understand how this changed the nature of globalization, consider a sports analogy. Suppose we have two football teams, one that needs a quarterback but has too many linebackers, and one that needs a linebacker but has too many quarterbacks. If they sit down and trade players, both teams win. It’s arbitrage in players. Each team gets rid of players they need less of and gets players they need more of. That’s the old globalization: exchange of goods.

Now let’s take a different kind of exchange, where the coach of the better team goes to the field of the worse team and starts training those players in the off-season. This is very good for the coach because he gets to sell his knowledge in two places. You can be sure that the quality of the league will rise, all the games will get more competitive, and the team that’s being trained up will enjoy the whole thing. But it’s not at all certain that the players of the better team will benefit from this exchange because the source of their advantage is now being traded.

In this analogy, the better team is, of course, the G7, and not surprisingly this has led to some resentment of globalization in those countries. The new globalization breaks the monopoly that G7 labor had on G7 know-how…

good reviews here:
The Great Convergence: Information Technology and the New Globalization: https://www.amazon.com/Great-Convergence-Information-Technology-Globalization/dp/067466048X
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may 2017 by nhaliday
Whose Job Will Be Taken Over by a Computer? The Role of Personality in Predicting Job Computerizability over the Lifespan - Damian - 2017 - European Journal of Personality - Wiley Online Library
Multiple regressions showed that, regardless of social background, people who were more intelligent, mature, interested in arts, and sciences at baseline, and selected into jobs that had a lower probability of computerization. On average, a one standard deviation increase in each of these traits predicted an average of 4 percentage points drop in the probability of one's job of being computerized.
study  psychology  cog-psych  social-psych  sociology  economics  labor  automation  correlation  planning  uncertainty  personality  iq  education  extra-introversion 
may 2017 by nhaliday
China Overtakes US in Scientific Articles, Robots, Supercomputers - The Unz Review
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may 2017 by nhaliday
Educational Romanticism & Economic Development | pseudoerasmus
https://twitter.com/GarettJones/status/852339296358940672
deleeted

https://twitter.com/GarettJones/status/943238170312929280
https://archive.is/p5hRA

Did Nations that Boosted Education Grow Faster?: http://econlog.econlib.org/archives/2012/10/did_nations_tha.html
On average, no relationship. The trendline points down slightly, but for the time being let's just call it a draw. It's a well-known fact that countries that started the 1960's with high education levels grew faster (example), but this graph is about something different. This graph shows that countries that increased their education levels did not grow faster.

Where has all the education gone?: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1016.2704&rep=rep1&type=pdf

https://twitter.com/GarettJones/status/948052794681966593
https://archive.is/kjxqp

https://twitter.com/GarettJones/status/950952412503822337
https://archive.is/3YPic

https://twitter.com/pseudoerasmus/status/862961420065001472
http://hanushek.stanford.edu/publications/schooling-educational-achievement-and-latin-american-growth-puzzle

The Case Against Education: What's Taking So Long, Bryan Caplan: http://econlog.econlib.org/archives/2015/03/the_case_agains_9.html

The World Might Be Better Off Without College for Everyone: https://www.theatlantic.com/magazine/archive/2018/01/whats-college-good-for/546590/
Students don't seem to be getting much out of higher education.
- Bryan Caplan

College: Capital or Signal?: http://www.economicmanblog.com/2017/02/25/college-capital-or-signal/
After his review of the literature, Caplan concludes that roughly 80% of the earnings effect from college comes from signalling, with only 20% the result of skill building. Put this together with his earlier observations about the private returns to college education, along with its exploding cost, and Caplan thinks that the social returns are negative. The policy implications of this will come as very bitter medicine for friends of Bernie Sanders.

Doubting the Null Hypothesis: http://www.arnoldkling.com/blog/doubting-the-null-hypothesis/

Is higher education/college in the US more about skill-building or about signaling?: https://www.quora.com/Is-higher-education-college-in-the-US-more-about-skill-building-or-about-signaling
ballpark: 50% signaling, 30% selection, 20% addition to human capital
more signaling in art history, more human capital in engineering, more selection in philosophy

Econ Duel! Is Education Signaling or Skill Building?: http://marginalrevolution.com/marginalrevolution/2016/03/econ-duel-is-education-signaling-or-skill-building.html
Marginal Revolution University has a brand new feature, Econ Duel! Our first Econ Duel features Tyler and me debating the question, Is education more about signaling or skill building?

Against Tulip Subsidies: https://slatestarcodex.com/2015/06/06/against-tulip-subsidies/

https://www.overcomingbias.com/2018/01/read-the-case-against-education.html

https://nintil.com/2018/02/05/notes-on-the-case-against-education/

https://www.nationalreview.com/magazine/2018-02-19-0000/bryan-caplan-case-against-education-review

https://spottedtoad.wordpress.com/2018/02/12/the-case-against-education/
Most American public school kids are low-income; about half are non-white; most are fairly low skilled academically. For most American kids, the majority of the waking hours they spend not engaged with electronic media are at school; the majority of their in-person relationships are at school; the most important relationships they have with an adult who is not their parent is with their teacher. For their parents, the most important in-person source of community is also their kids’ school. Young people need adult mirrors, models, mentors, and in an earlier era these might have been provided by extended families, but in our own era this all falls upon schools.

Caplan gestures towards work and earlier labor force participation as alternatives to school for many if not all kids. And I empathize: the years that I would point to as making me who I am were ones where I was working, not studying. But they were years spent working in schools, as a teacher or assistant. If schools did not exist, is there an alternative that we genuinely believe would arise to draw young people into the life of their community?

...

It is not an accident that the state that spends the least on education is Utah, where the LDS church can take up some of the slack for schools, while next door Wyoming spends almost the most of any state at $16,000 per student. Education is now the one surviving binding principle of the society as a whole, the one black box everyone will agree to, and so while you can press for less subsidization of education by government, and for privatization of costs, as Caplan does, there’s really nothing people can substitute for it. This is partially about signaling, sure, but it’s also because outside of schools and a few religious enclaves our society is but a darkling plain beset by winds.

This doesn’t mean that we should leave Caplan’s critique on the shelf. Much of education is focused on an insane, zero-sum race for finite rewards. Much of schooling does push kids, parents, schools, and school systems towards a solution ad absurdum, where anything less than 100 percent of kids headed to a doctorate and the big coding job in the sky is a sign of failure of everyone concerned.

But let’s approach this with an eye towards the limits of the possible and the reality of diminishing returns.

https://westhunt.wordpress.com/2018/01/27/poison-ivy-halls/
https://westhunt.wordpress.com/2018/01/27/poison-ivy-halls/#comment-101293
The real reason the left would support Moander: the usual reason. because he’s an enemy.

https://westhunt.wordpress.com/2018/02/01/bright-college-days-part-i/
I have a problem in thinking about education, since my preferences and personal educational experience are atypical, so I can’t just gut it out. On the other hand, knowing that puts me ahead of a lot of people that seem convinced that all real people, including all Arab cabdrivers, think and feel just as they do.

One important fact, relevant to this review. I don’t like Caplan. I think he doesn’t understand – can’t understand – human nature, and although that sometimes confers a different and interesting perspective, it’s not a royal road to truth. Nor would I want to share a foxhole with him: I don’t trust him. So if I say that I agree with some parts of this book, you should believe me.

...

Caplan doesn’t talk about possible ways of improving knowledge acquisition and retention. Maybe he thinks that’s impossible, and he may be right, at least within a conventional universe of possibilities. That’s a bit outside of his thesis, anyhow. Me it interests.

He dismisses objections from educational psychologists who claim that studying a subject improves you in subtle ways even after you forget all of it. I too find that hard to believe. On the other hand, it looks to me as if poorly-digested fragments of information picked up in college have some effect on public policy later in life: it is no coincidence that most prominent people in public life (at a given moment) share a lot of the same ideas. People are vaguely remembering the same crap from the same sources, or related sources. It’s correlated crap, which has a much stronger effect than random crap.

These widespread new ideas are usually wrong. They come from somewhere – in part, from higher education. Along this line, Caplan thinks that college has only a weak ideological effect on students. I don’t believe he is correct. In part, this is because most people use a shifting standard: what’s liberal or conservative gets redefined over time. At any given time a population is roughly half left and half right – but the content of those labels changes a lot. There’s a shift.

https://westhunt.wordpress.com/2018/02/01/bright-college-days-part-i/#comment-101492
I put it this way, a while ago: “When you think about it, falsehoods, stupid crap, make the best group identifiers, because anyone might agree with you when you’re obviously right. Signing up to clear nonsense is a better test of group loyalty. A true friend is with you when you’re wrong. Ideally, not just wrong, but barking mad, rolling around in your own vomit wrong.”
--
You just explained the Credo quia absurdum doctrine. I always wondered if it was nonsense. It is not.
--
Someone on twitter caught it first – got all the way to “sliding down the razor blade of life”. Which I explained is now called “transitioning”

What Catholics believe: https://theweek.com/articles/781925/what-catholics-believe
We believe all of these things, fantastical as they may sound, and we believe them for what we consider good reasons, well attested by history, consistent with the most exacting standards of logic. We will profess them in this place of wrath and tears until the extraordinary event referenced above, for which men and women have hoped and prayed for nearly 2,000 years, comes to pass.

https://westhunt.wordpress.com/2018/02/05/bright-college-days-part-ii/
According to Caplan, employers are looking for conformity, conscientiousness, and intelligence. They use completion of high school, or completion of college as a sign of conformity and conscientiousness. College certainly looks as if it’s mostly signaling, and it’s hugely expensive signaling, in terms of college costs and foregone earnings.

But inserting conformity into the merit function is tricky: things become important signals… because they’re important signals. Otherwise useful actions are contraindicated because they’re “not done”. For example, test scores convey useful information. They could help show that an applicant is smart even though he attended a mediocre school – the same role they play in college admissions. But employers seldom request test scores, and although applicants may provide them, few do. Caplan says ” The word on the street… [more]
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april 2017 by nhaliday
‘How dare you work on whites’: Professors under fire for research on white mortality - The Washington Post
the paper: http://www.pnas.org/content/112/49/15078

https://www.theatlantic.com/business/archive/2017/03/angus-deaton-qa/518880/
The Nobel laureate Angus Deaton discusses extreme poverty, opioid addiction, Trump voters, robots, and rent-seeking.

co-authored the "dead white people paper" w/ wife

http://andrewgelman.com/2017/03/23/mortality-rate-trends-age-ethnicity-sex-state/
point about expansion of education seems important
https://spottedtoad.wordpress.com/2016/01/17/correlates-of-middle-aged-white-mortality/

https://www.washingtonpost.com/news/wonk/wp/2017/03/24/the-disease-killing-white-americans-goes-way-deeper-than-opioids/
https://www.wsj.com/articles/death-rates-rise-for-wide-swath-of-white-adults-1490240740
http://www.newyorker.com/news/benjamin-wallace-wells/the-despair-of-learning-that-experience-no-longer-matters
https://www.nytimes.com/interactive/2017/09/02/upshot/fentanyl-drug-overdose-deaths.html

Diverging Life Expectancies and Voting Patterns in the 2016 US Presidential Election.: https://www.ncbi.nlm.nih.gov/pubmed/28817322
Changes in county life expectancy from 1980 to 2014 were strongly negatively associated with Trump's vote share, with less support for Trump in counties experiencing greater survival gains. Counties in which life expectancy stagnated or declined saw a 10-percentage-point increase in the Republican vote share between 2008 and 2016.

DESPAIR AND DECADES-LONG DEINDUSTRIALIZATION: https://spottedtoad.wordpress.com/2018/01/10/despair-and-decades-long-deindustrialization/

WE’VE BEEN HERE BEFORE: https://spottedtoad.wordpress.com/2018/01/12/weve-been-here-before/
A concept that seems to me to be missing from the Ruhm vs. Case/Deaton debate on “deaths of despair” is that of social crisis.

This seems to me to be the case for American Indians, who began experiencing what looks like a similar social crisis to non-college educated whites about a decade beforehand: rapidly escalating rates of suicide, drug overdoses, exit from the workforce, and even alcohol-related deaths (which were already very high for American Indians well before 2000, of course):

...

The common thread here would seem to be replacement of workforce participation with transfer payments, particularly cash transfers (since, my own reservations about Medicaid aside, increases in in-kind payments and SNAP since the 80s haven’t seemed to exert the same disruptive effect.) As I’ve said before, it seems very likely to me that technology will push an ever larger segment of society out of the economy, sooner or later, but how to prevent this from tearing apart our social fabric I don’t know.

Once It Was Overdue Books. Now Librarians Fight Overdoses.: https://www.nytimes.com/2018/02/28/nyregion/librarians-opioid-heroin-overdoses.html

somewhat related: https://www.theamericanconservative.com/dreher/male-loneliness-in-suburbia/
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april 2017 by nhaliday
THE DEMISE OF U.S. ECONOMIC GROWTH: RESTATEMENT, REBUTTAL, AND REFLECTIONS
The United States achieved a 2.0 percent average annual growth rate of real GDP per capita between 1891 and 2007. This paper predicts that growth in the 25 to 40 years after 2007 will be much slower, particularly for the great majority of the population. Future growth will be 1.3 percent per annum for labor productivity in the total economy, 0.9 percent for output per capita, 0.4 percent for real income per capita of the bottom 99 percent of the income distribution, and 0.2 percent for the real disposable income of that group.

The primary cause of this growth slowdown is a set of four headwinds, all of them widely recognized and uncontroversial. Demographic shifts will reduce hours worked per capita, due not just to the retirement of the baby boom generation but also as a result of an exit from the labor force both of youth and prime-age adults. Educational attainment, a central driver of growth over the past century, stagnates at a plateau as the U.S. sinks lower in the world league tables of high school and college completion rates. Inequality continues to increase, resulting in real income growth for the bottom 99 percent of the income distribution that is fully half a point per year below the average growth of all incomes. A projected long-term increase in the ratio of debt to GDP at all levels of government will inevitably lead to more rapid growth in tax revenues and/or slower growth in transfer payments at some point within the next several decades.

There is no need to forecast any slowdown in the pace of future innovation for this gloomy forecast to come true, because that slowdown already occurred four decades ago. In the eight decades before 1972 labor productivity grew at an average rate 0.8 percent per year faster than in the four decades since 1972. While no forecast of a future slowdown of innovation is needed, skepticism is offered here, particularly about the techno-optimists who currently believe that we are at a point of inflection leading to faster technological change. The paper offers several historical examples showing that the future of technology can be forecast 50 or even 100 years in advance and assesses widely discussed innovations anticipated to occur over the next few decades, including medical research, small robots, 3-D printing, big data, driverless vehicles, and oil-gas fracking.

keep in mind, "the world is just atoms" and I think I know some things that Robert J Gordon doesn't
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march 2017 by nhaliday
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