nhaliday + objektbuch   258

Psychopathy by U.S. State by Ryan Murphy :: SSRN
Rentfrow et al. (2013) constructs a cross-section of the “Big Five” personality traits and demonstrates their relationship with outcomes variables for the continental United States and the District of Columbia. Hyatt et al. (Forthcoming) creates a means of describing psychopathy in terms of the Big Five personality traits. When these two findings are combined, a state-level estimate of psychopathy is produced. Among the typical predictions made regarding psychopathy, the variable with the closest univariate relationship with this new statistical aggregate is the percentage of the population in the state living in an urban area. There is not a clear univariate relationship with homicide rates.

Washington, D.C., harbors the greatest share of psychopaths in the US, "a fact that can be readily explained either by its very high population density or by the type of person who may be drawn a literal seat of power."
study  psychology  cog-psych  personality  disease  psychiatry  guilt-shame  the-devil  usa  the-south  virginia-DC  government  politics  institutions  leadership  power  trivia  cocktail  pro-rata  maps  within-group  geography  urban-rural  correlation  northeast  population  density  sociology  stylized-facts  data  database  objektbuch  psych-architecture 
june 2018 by nhaliday
Bragging Rights: Does Corporate Boasting Imply Value Creation? by Pratik Kothari, Don M. Chance, Stephen P. Ferris :: SSRN
We examine all S&P 500 firms over 1999-2014 that publicly characterize their annual performance with extreme positive language. We find that only 18% of such firms increase shareholder value, while nearly 75% have insignificant performance, and the remaining 7% actually destroy shareholder value. Our evidence suggests that firms often base their positive claims on high raw returns or strong relative accounting performance. In comparison to firms that generate positive abnormal returns without boasting, our sample firms tend to have superior accounting performance. These results show that boasting about performance is rarely associated with value creation and is consistent with executive narcissism.
study  economics  business  management  stylized-facts  trivia  leadership  finance  investing  objektbuch  correlation  language  emotion 
april 2018 by nhaliday
The Politics of Mate Choice
TABLE 1 Spousal Concordance on 16 Traits Pearson’s r (n)

Church attendance .714 (4950)
W-P Index (28 items) .647 (3984)
Drinking frequency .599 (4984)
Political party support .596 (4547)
Education .498 (4957)
Height .227 (4964)
pdf  study  sociology  anthropology  sex  assortative-mating  correlation  things  phalanges  planning  long-term  human-bean  religion  theos  politics  polisci  ideology  ethanol  time-use  coalitions  education  embodied  integrity  sleep  rhythm  personality  psych-architecture  stress  psychiatry  self-report  extra-introversion  discipline  self-control  patience  data  database  list  top-n  objektbuch  values  habit  time  density  twin-study  longitudinal  tradition  time-preference  life-history  selection  psychology  social-psych  flux-stasis  demographics  frequency 
december 2017 by nhaliday
The rate of return on everything - Marginal REVOLUTION
Here is what I learned from the paper itself:

1. Risky assets such as equities and residential real estate average about 7% gains per year in real terms.  Housing outperformed equity before WWII, vice versa after WWII.  In any case it is a puzzle that housing returns are less volatile but about at the same level as equity returns over a broader time span.
2. Equity and housing gains have a relatively low covariance.  Buy both!
3. Equity returns across countries have become increasingly correlated, housing returns not.
4. The return on real safe assets is much more volatile than you might think.
5. The equity premium is volatile too.
6. The authors find support for Piketty’s r > g, except near periods of war.  Furthermore, the gap between r and g does not seem to be correlated with the growth rate of the economy.

I found this to be one of the best and most interesting papers of the year.
econotariat  marginal-rev  commentary  study  summary  economics  macro  investing  ORFE  securities  data  street-fighting  objektbuch  scale  time-preference  cost-benefit  outcome-risk  housing  money  monetary-fiscal  debt  history  mostly-modern  world-war  trends  correlation  moments  growth-econ  inequality  piketty  stylized-facts  war  meta:war 
december 2017 by nhaliday
python - Short Description of the Scoping Rules? - Stack Overflow
Actually, a concise rule for Python Scope resolution, from Learning Python, 3rd. Ed.. (These rules are specific to variable names, not attributes. If you reference it without a period, these rules apply)

LEGB Rule.

L, Local — Names assigned in any way within a function (def or lambda)), and not declared global in that function.

E, Enclosing-function locals — Name in the local scope of any and all statically enclosing functions (def or lambda), from inner to outer.

G, Global (module) — Names assigned at the top-level of a module file, or by executing a global statement in a def within the file.

B, Built-in (Python) — Names preassigned in the built-in names module : open,range,SyntaxError,...

As a caveat to Global access - reading a global variable can happen without explicit declaration, but writing to it without declaring global(var_name) will instead create a new local instance.


Essentially, the only thing in Python that introduces a new scope is a function definition. Classes are a bit of a special case in that anything defined directly in the body is placed in the class's namespace, but they are not directly accessible from within the methods (or nested classes) they contain.
q-n-a  stackex  programming  intricacy  gotchas  python  pls  objektbuch  cheatsheet 
november 2017 by nhaliday
The Moon And Tides
Why does the Moon produce TWO water tides on the Earth and not just one?
"It is intuitively easy to understand why the gravitational pull of the Moon should produce a water tide on the Earth in the part of the ocean closest to the moon along the line connecting the center of the Moon with the center of the Earth. But in fact not one but TWO water tides are produced under which the Earth rotates every day to produce about two high tides and two low tides every day. How come?

It is not the gravitational force that is doing it, but the change in the gravitational force across the body of the Earth. If you were to plot the pattern of the Moon's 'tidal' gravitational force added to the Earth's own gravitational force, at the Earth's surface, you would be able to resolve the force vectors at different latitudes and longitudes into a radial component directed towards the Earth's center, and a component tangential to the Earth's surface. On the side nearest the moon, the 'differential' gravitational force is directed toward the Moon showing that for particles on the Earth's surface, they are being tugged slightly towards the Moon because the force of the Moon is slightly stronger at the Earth's surface than at the Earth's center which is an additional 6300 kilometers from the Moon. On the far side of the Earth, the Moon is tugging on the center of the Earth slightly stronger than it is on the far surface, so the resultant force vector is directed away from the Earth's center.

The net result of this is that the Earth gets deformed into a slightly squashed, ellipsoidal shape due to these tidal forces. This happens because if we resolve the tidal forces at each point on the Earth into a local vertical and horizontal component, the horizontal components are not zero, and are directed towards the two points along the line connecting the Earth and the Moon's centers. These horizontal forces cause rock and water to feel a gravitational force which results in the flow of rock and water into the 'tidal bulges'. There will be exactly two of these bulges. At exactly the positions of the tidal bulges where the Moon is at the zenith and at the nadir positions, there are no horizontal tidal forces and the flow stops. The water gets piled up, and the only effect is to slightly lower the weight of the water along the vertical direction.

Another way of thinking about this is that the gravitational force of the Moon causes the Earth to accelerate slightly towards the Moon causing the water to get pulled towards the Moon faster than the solid rock on the side nearest the Moon. On the far side, the solid Earth 'leaves behind' some of the water which is not as strongly accelerated towards the Moon as the Earth is. This produces the bulge on the 'back side' of the Earth."- Dr. Odenwald's ASK THE ASTRONOMER
org:junk  nibble  space  physics  mechanics  cycles  navigation  gravity  marginal  oceans  explanation  faq  objektbuch  rhythm 
november 2017 by nhaliday
EWG's Seafood Calculator | EWG
recommends Salmon (Atlantic), Sardines (Pacific), Mussels, Trout, and Mackerel for me
org:health  fitsci  tools  calculator  dynamic  nutrition  diet  health  metabolic  hypochondria  oceans  org:ngo  cooking  objektbuch  food 
october 2017 by nhaliday
Your Sky
Welcome to Your Sky, the interactive planetarium of the Web. You can produce maps in the forms described below for any time and date, viewpoint, and observing location. If you enter the orbital elements of an asteroid or comet, Your Sky will compute its current position and plot it on the map. Each map is accompanied by an ephemeris for the Sun, Moon, planets, and any tracked asteroid or comet. A control panel permits customisation of which objects are plotted, limiting magnitudes, colour scheme, image size, and other parameters; each control is linked to its description in the help file.
nibble  tools  calculator  simulation  space  sky  navigation  time  objektbuch  data  visualization  trivia 
september 2017 by nhaliday
Patrick McKenzie on Twitter: "It occurs to me that my hobby in writing letters about the Fair Credit Reporting Act is suddenly topical! So some quick opinionated advice:"
identity theft and credit monitoring guide (inspired by Equifax)

I really think the only solution to this is Congress or the courts acting to create serious civil liability for data breaches:
Another way this would be good: companies having to count your personal information as a serious potential cost as well as a potential asset will make it rational for them to invade your privacy less.
techtariat  twitter  social  discussion  current-events  drama  personal-finance  debt  money  safety  planning  objektbuch  howto  checklists  human-bean  duty  multi  backup  law  policy  incentives  privacy  business  regulation  security  unaffiliated 
september 2017 by nhaliday
Caught in the act | West Hunter
The fossil record is sparse. Let me try to explain that. We have at most a few hundred Neanderthal skeletons, most in pretty poor shape. How many Neanderthals ever lived? I think their population varied in size quite a bit – lowest during glacial maxima, probably highest in interglacials. Their degree of genetic diversity suggests an effective population size of ~1000, but that would be dominated by the low points (harmonic average). So let’s say 50,000 on average, over their whole range (Europe, central Asia, the Levant, perhaps more). Say they were around for 300,000 years, with a generation time of 30 years – 10,000 generations, for a total of five hundred million Neanderthals over all time. So one in a million Neanderthals ends up in a museum: one every 20 generations. Low time resolution!

So if anatomically modern humans rapidly wiped out Neanderthals, we probably couldn’t tell. In much the same way, you don’t expect to find the remains of many dinosaurs killed by the Cretaceous meteor impact (at most one millionth of one generation, right?), or of Columbian mammoths killed by a wave of Amerindian hunters. Sometimes invaders leave a bigger footprint: a bunch of cities burning down with no rebuilding tells you something. But even when you know that population A completely replaced population B, it can be hard to prove that just how it happened. After all, population A could have all committed suicide just before B showed up. Stranger things have happened – but not often.
west-hunter  scitariat  discussion  ideas  data  objektbuch  scale  magnitude  estimate  population  sapiens  archaics  archaeology  pro-rata  history  antiquity  methodology  volo-avolo  measurement  pop-structure  density  time  frequency  apollonian-dionysian  traces 
september 2017 by nhaliday
What kills, current or voltage? - Quora
Its an oversimplification to say that voltage kills or current kills and the cause of much misunderstanding.
You cannot have one without the other, therefore one could claim that answering one or the other is correct.
However, it is the current THROUGH key parts of the body that can be lethal. BUT even a lot of Current in a wire won't harm you if the current is constrained to the wire..
Specifically in order for you to be electrocuted, the voltage must be high enough to drive a lethal amount of current through your body over coming body resistance, the voltage must be applied in the right places so that the current path is through your (usually) heart muscle, and it must be long enough duration to stop the heart muscle due to fibrillation.

another good answer:
As I write this note, I’m looking at the textbook Basic Engineering Circuit Analysis by Irwin and Nelms (ISBN 0-471-48728-7). On page 449 the authors reference the work of Dr. John G. Webster who suggests the body resistance values that I have taken the liberty to sketch into this poor character.
nibble  q-n-a  qra  physics  electromag  dirty-hands  embodied  safety  short-circuit  IEEE  data  objektbuch  death 
september 2017 by nhaliday
Demography of the Roman Empire - Wikipedia
There are few recorded population numbers for the whole of antiquity, and those that exist are often rhetorical or symbolic. Unlike the contemporaneous Han Dynasty, no general census survives for the Roman Empire. The late period of the Roman Republic provides a small exception to this general rule: serial statistics for Roman citizen numbers, taken from census returns, survive for the early Republic through the 1st century CE.[41] Only the figures for periods after the mid-3rd century BCE are reliable, however. Fourteen figures are available for the 2nd century BCE (from 258,318 to 394,736). Only four figures are available for the 1st century BCE, and are feature a large break between 70/69 BCE (910,000) and 28 BCE (4,063,000). The interpretation of the later figures—the Augustan censuses of 28 BCE, 8 BCE, and 14 CE—is therefore controversial.[42] Alternate interpretations of the Augustan censuses (such as those of E. Lo Cascio[43]) produce divergent population histories across the whole imperial period.[44]

Roman population size: the logic of the debate: https://www.princeton.edu/~pswpc/pdfs/scheidel/070706.pdf
- Walter Scheidel (cited in book by Vaclav Smil, "Why America is Not a New Rome")

Our ignorance of ancient population numbers is one of the biggest obstacles to our understanding of Roman history. After generations of prolific scholarship, we still do not know how many people inhabited Roman Italy and the Mediterranean at any given point in time. When I say ‘we do not know’ I do not simply mean that we lack numbers that are both precise and safely known to be accurate: that would surely be an unreasonably high standard to apply to any pre-modern society. What I mean is that even the appropriate order of magnitude remains a matter of intense dispute.

Historical urban community sizes: https://en.wikipedia.org/wiki/Historical_urban_community_sizes

World population estimates: https://en.wikipedia.org/wiki/World_population_estimates
As a general rule, the confidence of estimates on historical world population decreases for the more distant past. Robust population data only exists for the last two or three centuries. Until the late 18th century, few governments had ever performed an accurate census. In many early attempts, such as in Ancient Egypt and the Persian Empire, the focus was on counting merely a subset of the population for purposes of taxation or military service.[3] Published estimates for the 1st century ("AD 1") suggest an uncertainty of the order of 50% (estimates range between 150 and 330 million). Some estimates extend their timeline into deep prehistory, to "10,000 BC", i.e. the early Holocene, when world population estimates range roughly between one and ten million (with an uncertainty of up to an order of magnitude).[4][5]

Estimates for yet deeper prehistory, into the Paleolithic, are of a different nature. At this time human populations consisted entirely of non-sedentary hunter-gatherer populations, with anatomically modern humans existing alongside archaic human varieties, some of which are still ancestral to the modern human population due to interbreeding with modern humans during the Upper Paleolithic. Estimates of the size of these populations are a topic of paleoanthropology. A late human population bottleneck is postulated by some scholars at approximately 70,000 years ago, during the Toba catastrophe, when Homo sapiens population may have dropped to as low as between 1,000 and 10,000 individuals.[6][7] For the time of speciation of Homo sapiens, some 200,000 years ago, an effective population size of the order of 10,000 to 30,000 individuals has been estimated, with an actual "census population" of early Homo sapiens of roughly 100,000 to 300,000 individuals.[8]
history  iron-age  mediterranean  the-classics  demographics  fertility  data  europe  population  measurement  volo-avolo  estimate  wiki  reference  article  conquest-empire  migration  canon  scale  archaeology  multi  broad-econ  pdf  study  survey  debate  uncertainty  walter-scheidel  vaclav-smil  urban  military  economics  labor  time-series  embodied  health  density  malthus  letters  urban-rural  database  list  antiquity  medieval  early-modern  mostly-modern  time  sequential  MENA  the-great-west-whale  china  asia  sinosphere  occident  orient  japan  britain  germanic  gallic  summary  big-picture  objektbuch  confidence  sapiens  anthropology  methodology  farmers-and-foragers  genetics  genomics  chart 
august 2017 by nhaliday
How large is the Sun compared to Earth? | Cool Cosmos
Compared to Earth, the Sun is enormous! It contains 99.86% of all of the mass of the entire Solar System. The Sun is 864,400 miles (1,391,000 kilometers) across. This is about 109 times the diameter of Earth. The Sun weighs about 333,000 times as much as Earth. It is so large that about 1,300,000 planet Earths can fit inside of it. Earth is about the size of an average sunspot!
nibble  org:junk  space  physics  mechanics  gravity  earth  navigation  data  objektbuch  scale  spatial  measure  org:edu  popsci  pro-rata 
august 2017 by nhaliday
The Earth-Moon system
nice way of expressing Kepler's law (scaled by AU, solar mass, year, etc.) among other things

nibble  org:junk  explanation  trivia  data  objektbuch  space  mechanics  spatial  visualization  earth  visual-understanding  navigation  experiment  measure  marginal  gravity  scale  physics  nitty-gritty  tidbits  identity  cycles  time  magnitude  street-fighting  calculation  oceans  pro-rata  rhythm  flux-stasis 
august 2017 by nhaliday
How to estimate distance using your finger | Outdoor Herbivore Blog
1. Hold your right arm out directly in front of you, elbow straight, thumb upright.
2. Align your thumb with one eye closed so that it covers (or aligns) the distant object. Point marked X in the drawing.
3. Do not move your head, arm or thumb, but switch eyes, so that your open eye is now closed and the other eye is open. Observe closely where the object now appears with the other open eye. Your thumb should appear to have moved to some other point: no longer in front of the object. This new point is marked as Y in the drawing.
4. Estimate this displacement XY, by equating it to the estimated size of something you are familiar with (height of tree, building width, length of a car, power line poles, distance between nearby objects). In this case, the distant barn is estimated to be 100′ wide. It appears 5 barn widths could fit this displacement, or 500 feet. Now multiply that figure by 10 (the ratio of the length of your arm to the distance between your eyes), and you get the distance between you and the thicket of blueberry bushes — 5000 feet away(about 1 mile).

- Basically uses parallax (similar triangles) with each eye.
- When they say to compare apparent shift to known distance, won't that scale with the unknown distance? The example uses width of an object at the point whose distance is being estimated.

per here: https://www.trails.com/how_26316_estimate-distances-outdoors.html
Select a distant object that the width can be accurately determined. For example, use a large rock outcropping. Estimate the width of the rock. Use 200 feet wide as an example here.
outdoors  human-bean  embodied  embodied-pack  visuo  spatial  measurement  lifehack  howto  navigation  prepping  survival  objektbuch  multi  measure  estimate 
august 2017 by nhaliday
The “Hearts and Minds” Fallacy: Violence, Coercion, and Success in Counterinsurgency Warfare | International Security | MIT Press Journals
The U.S. prescription for success has had two main elements: to support liberalizing, democratizing reforms to reduce popular grievances; and to pursue a military strategy that carefully targets insurgents while avoiding harming civilians. An analysis of contemporaneous documents and interviews with participants in three cases held up as models of the governance approach—Malaya, Dhofar, and El Salvador—shows that counterinsurgency success is the result of a violent process of state building in which elites contest for power, popular interests matter little, and the government benefits from uses of force against civilians.

this is why liberal states mostly fail in counterinsurgency wars


contrary study:
Nation Building Through Foreign Intervention: Evidence from Discontinuities in Military Strategies: https://academic.oup.com/qje/advance-article/doi/10.1093/qje/qjx037/4110419
This study uses discontinuities in U.S. strategies employed during the Vietnam War to estimate their causal impacts. It identifies the effects of bombing by exploiting rounding thresholds in an algorithm used to target air strikes. Bombing increased the military and political activities of the communist insurgency, weakened local governance, and reduced noncommunist civic engagement. The study also exploits a spatial discontinuity across neighboring military regions that pursued different counterinsurgency strategies. A strategy emphasizing overwhelming firepower plausibly increased insurgent attacks and worsened attitudes toward the U.S. and South Vietnamese government, relative to a more hearts-and-minds-oriented approach. JEL Codes: F35, F51, F52

Military Adventurer Raymond Westerling On How To Defeat An Insurgency: http://www.socialmatter.net/2018/03/12/military-adventurer-raymond-westerling-on-how-to-defeat-an-insurgency/
study  war  meta:war  military  defense  terrorism  MENA  strategy  tactics  cynicism-idealism  civil-liberty  kumbaya-kult  foreign-policy  realpolitik  usa  the-great-west-whale  occident  democracy  antidemos  institutions  leviathan  government  elite  realness  multi  twitter  social  commentary  stylized-facts  evidence-based  objektbuch  attaq  chart  contrarianism  scitariat  authoritarianism  nl-and-so-can-you  westminster  iraq-syria  polisci  🎩  conquest-empire  news  org:lite  power  backup  martial  nietzschean  pdf  piracy  britain  asia  developing-world  track-record  expansionism  peace-violence  interests  china  race  putnam-like  anglosphere  latin-america  volo-avolo  cold-war  endogenous-exogenous  shift  natural-experiment  rounding  gnon  org:popup  europe  germanic  japan  history  mostly-modern  world-war  examples  death  nihil  dominant-minority  tribalism  ethnocentrism  us-them  letters 
august 2017 by nhaliday
The Government is the Largest Source of University Funding | Free By 50
wonkish  data  visualization  let-me-see  higher-ed  academia  money  variance-components  distribution  monetary-fiscal  local-global  government  multi  usa  org:edu  org:ngo  chart  roots  org:lite  counter-revolution  class-warfare  nascent-state  pdf  white-paper  org:data  analysis  objektbuch  harvard  princeton  elite  stanford 
july 2017 by nhaliday
People in the EU – statistics on household and family structures - Statistics Explained
Map 2 has in-wedlock birth rate
Marriage and divorce statistics: http://ec.europa.eu/eurostat/statistics-explained/index.php/Marriage_and_divorce_statistics
Table 3 has out-of-wedlock birth rate in time series form

Map of extramarital births. The white spot in CE is Poland 1918-39. The country which existed for 20 years exerts its influence, 80 years on
wiki  reference  org:euro  org:gov  data  analysis  visualization  europe  EU  within-group  maps  demographics  life-history  dignity  pro-rata  rot  let-me-see  multi  sex  chart  objektbuch  database  mediterranean  germanic  gallic  britain  nordic  eastern-europe  time-series  article  twitter  social  discussion  pic  backup  shift  distribution 
july 2017 by nhaliday
Reuters Institute Digital News Report 2017
Section 3.2, p. 39 has polarization data
A new way to chart ideological leanings in news media: https://www.axios.com/a-new-way-to-chart-ideological-leanings-in-news-media-2475716743.html
(using Twitter follows)
Exploring the Ideological Nature of Journalists’ Social Networks on Twitter and Associations with News Story Content: https://drive.google.com/file/d/0B8CcT_0LwJ8QVnJMR1QzcGNuTkk/view
Visualizing Political Polarization on Twitter: http://www.theoutgroup.org/
Dear Mainstream Media: Why so liberal?: https://www.washingtonpost.com/blogs/erik-wemple/wp/2017/01/27/dear-mainstream-media-why-so-liberal/
Political Leanings of US Journalists vs. the Public in 2002

Topline Results: 2017 Texas Media & Society Survey: https://moody.utexas.edu/sites/default/files/TMASS_2017Topline_final.pdf
Some interesting results from a poll about media & polarization that I presented today for @AStraussInst <THREAD>
pdf  news  org:lite  media  database  data  analysis  politics  polarization  poll  values  time-use  world  usa  europe  EU  britain  internet  tv  social  white-paper  org:ngo  org:edu  ideology  multi  visualization  spatial  exploratory  polisci  wonkish  network-structure  twitter  techtariat  ssc  neocons  info-dynamics  project  org:junk  journos-pundits  info-foraging  track-record  objektbuch  chart  commentary  backup  org:rec  distribution  biases  comparison  within-without  input-output  supply-demand 
june 2017 by nhaliday
What are the big deals when linking demographics and politics? | We the Pleeple
You can see in the chart that religion/church (the black bars) and race/immigrant (the green bars) are just way bigger deals than education, age, gender, income, and region/density. Further, there are some kinds of items where race/immigrant variables are particularly big deals (party identification along with views on rich-poor issues, immigration, gun regulation, racial issues, and white nationalism, which combines views on immigration, race, etc.), while there are other kinds of items where religion/church variables are clearly the dominant demographic predictors (self-labelled liberal/conservative ideology along with views on homosexuality, abortion, marijuana legalization, environmental regulation, and Middle Eastern conflicts).
org:data  wonkish  data  analysis  politics  polisci  stylized-facts  demographics  race  migration  religion  top-n  list  chart  roots  coalitions  poll  values  variance-components  correlation  regression  phalanges  sociology  ethnocentrism  identity-politics  ideology  impetus  objektbuch  metabuch  class  redistribution  gender  sex  sexuality  arms  regulation  law  drugs  environment  crosstab  egalitarianism-hierarchy  compensation  money  urban  population  density  urban-rural  hari-seldon  abortion-contraception-embryo 
may 2017 by nhaliday
What software engineers are making around the world right now | TechCrunch
The eight leading U.S. tech hubs account for slightly less than 10% of U.S. jobs and about 13% of overall job postings. But the cities — Seattle, San Francisco, San Jose, Austin, Raleigh, Washington, Baltimore and Boston — account for more than 27% of the listings for U.S. tech jobs, research from Jed Kolko, the chief economist of the job-search website Indeed, shows.

That’s already a striking concentration, but tech jobs with the highest salaries are even more centralized. Among jobs that typically pay over $100,000, nearly 40% of openings are in those eight cities.

The hubs are defined as the cities with the highest share of jobs in tech, so cities like New York City, with large populations but not a concentrated focus on tech, do not count.
news  org:lite  org:biz  data  maps  usa  world  urban  anglo  britain  europe  gallic  asia  polis  developing-world  career  compensation  money  cost-benefit  tech  business  comparison  sv  the-west  california  northeast  nyc  texas  washington  canada  objektbuch  planning  multi  org:rec  density  distribution  urban-rural 
may 2017 by nhaliday
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