quantitative-qualitative   28

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).
pdf  study  org:nat  psychology  social-psych  poll  values  data  experiment  empirical  morality  ethics  pop-diff  cultural-dynamics  tradeoffs  death  safety  ai  automation  things  world  gender  biases  status  class  egalitarianism-hierarchy  order-disorder  anarcho-tyranny  crime  age-generation  quantitative-qualitative  number  nature  piracy  exploratory  phalanges  n-factor  europe  the-great-west-whale  nordic  usa  anglo  anglosphere  sinosphere  asia  japan  china  islam  MENA  latin-america  gallic  wonkish  correlation  measure  similarity  dignity  universalism-particularism  law  leviathan  wealth  econ-metrics  institutions  demographics  religion  group-level  within-group  expression-survival  comparison  technocracy  visualization  trees  developing-world  regional-scatter-plots 
5 weeks ago by nhaliday
The Downside of Baseball’s Data Revolution—Long Games, Less Action - WSJ
After years of ‘Moneyball’-style quantitative analysis, major-league teams are setting records for inactivity
news  org:rec  trends  sports  data-science  unintended-consequences  quantitative-qualitative  modernity  time  baseball  measure 
october 2017 by nhaliday
Suspicious Banana on Twitter: ""platonic forms" seem more sinister when you realize that integers were reaching down into his head and giving him city planning advice https://t.co/4qaTdwOlry"
Plato mentions in his Laws that 5040 is a convenient number to use for dividing many things (including both the citizens and the land of a state) into lesser parts. He remarks that this number can be divided by all the (natural) numbers from 1 to 12 with the single exception of 11 (however, it is not the smallest number to have this property; 2520 is). He rectifies this "defect" by suggesting that two families could be subtracted from the citizen body to produce the number 5038, which is divisible by 11. Plato also took notice of the fact that 5040 can be divided by 12 twice over. Indeed, Plato's repeated insistence on the use of 5040 for various state purposes is so evident that it is written, "Plato, writing under Pythagorean influences, seems really to have supposed that the well-being of the city depended almost as much on the number 5040 as on justice and moderation."[1]

"Now for divine begettings there is a period comprehended by a perfect number, and for mortal by the first in which augmentations dominating and dominated when they have attained to three distances and four limits of the assimilating and the dissimilating, the waxing and the waning, render all things conversable and commensurable [546c] with one another, whereof a basal four-thirds wedded to the pempad yields two harmonies at the third augmentation, the one the product of equal factors taken one hundred times, the other of equal length one way but oblong,-one dimension of a hundred numbers determined by the rational diameters of the pempad lacking one in each case, or of the irrational lacking two; the other dimension of a hundred cubes of the triad. And this entire geometrical number is determinative of this thing, of better and inferior births."[3]

Shortly after Plato's time his meaning apparently did not cause puzzlement as Aristotle's casual remark attests.[6] Half a millennium later, however, it was an enigma for the Neoplatonists, who had a somewhat mystic penchant and wrote frequently about it, proposing geometrical and numerical interpretations. Next, for nearly a thousand years, Plato's texts disappeared and it is only in the Renaissance that the enigma briefly resurfaced. During the 19th century, when classical scholars restored original texts, the problem reappeared. Schleiermacher interrupted his edition of Plato for a decade while attempting to make sense of the paragraph. Victor Cousin inserted a note that it has to be skipped in his French translation of Plato's works. In the early 20th century, scholarly findings suggested a Babylonian origin for the topic.[7]


Socrates: Surely we agree nothing more virtuous than sacrificing each newborn infant while reciting the factors of 39,916,800?

Turgidas: Uh

different but interesting: https://aeon.co/essays/can-we-hope-to-understand-how-the-greeks-saw-their-world
Another explanation for the apparent oddness of Greek perception came from the eminent politician and Hellenist William Gladstone, who devoted a chapter of his Studies on Homer and the Homeric Age (1858) to ‘perceptions and use of colour’. He too noticed the vagueness of the green and blue designations in Homer, as well as the absence of words covering the centre of the ‘blue’ area. Where Gladstone differed was in taking as normative the Newtonian list of colours (red, orange, yellow, green, blue, indigo, violet). He interpreted the Greeks’ supposed linguistic poverty as deriving from an imperfect discrimination of prismatic colours. The visual organ of the ancients was still in its infancy, hence their strong sensitivity to light rather than hue, and the related inability to clearly distinguish one hue from another. This argument fit well with the post-Darwinian climate of the late 19th century, and came to be widely believed. Indeed, it prompted Nietzsche’s own judgment, and led to a series of investigations that sought to prove that the Greek chromatic categories do not fit in with modern taxonomies.

Today, no one thinks that there has been a stage in the history of humanity when some colours were ‘not yet’ being perceived. But thanks to our modern ‘anthropological gaze’ it is accepted that every culture has its own way of naming and categorising colours. This is not due to varying anatomical structures of the human eye, but to the fact that different ocular areas are stimulated, which triggers different emotional responses, all according to different cultural contexts.
postrat  carcinisation  twitter  social  discussion  lol  hmm  :/  history  iron-age  mediterranean  the-classics  cocktail  trivia  quantitative-qualitative  mystic  simler  weird  multi  wiki  👽  dennett  article  philosophy  alien-character  news  org:mag  org:popup  literature  quotes  poetry  concrete  big-peeps  nietzschean  early-modern  europe  germanic  visuo  language  foreign-lang  embodied  oceans  h2o  measurement  fluid  forms-instances  westminster  lexical 
june 2017 by nhaliday
A sense of where you are | West Hunter
Nobody at the Times noticed it at first. I don’t know that they ever did notice it by themselves- likely some reader brought it to their attention. But this happens all the time, because very few people have a picture of the world in their head that includes any numbers. Mostly they don’t even have a rough idea of relative size.

In much the same way, back in the 1980s,lots of writers were talking about 90,000 women a year dying of anorexia nervosa, another impossible number. Then there was the great scare about 1,000,000 kids being kidnapped in the US each year – also impossible and wrong. Practically all the talking classes bought into it.

You might think that the people at the top are different – but with a few exceptions, they’re just as clueless.
west-hunter  scitariat  commentary  discussion  reflection  bounded-cognition  realness  nitty-gritty  calculation  fermi  quantitative-qualitative  stories  street-fighting  mental-math  being-right  info-dynamics  knowledge  hi-order-bits  scale  dysgenics  drugs  death  coming-apart  opioids  elite  ability-competence  rant  decision-making 
may 2017 by nhaliday
Extended spider cognition | SpringerLink
Spiders do not seem to be cognitively limited, displaying a large diversity of learning processes, from habituation to contextual learning, including a sense of numerosity. To tease apart the central from the extended cognition, we apply the mutual manipulability criterion, testing the existence of reciprocal causal links between the putative elements of the system. We conclude that the web threads and configurations are integral parts of the cognitive systems. The extension of cognition to the web helps to explain some puzzling features of spider behaviour and seems to promote evolvability within the group, enhancing innovation through cognitive connectivity to variable habitat features. Graded changes in relative brain size could also be explained by outsourcing information processing to environmental features. More generally, niche-constructed structures emerge as prime candidates for extending animal cognition, generating the selective pressures that help to shape the evolving cognitive system.

study  cocktail  bio  nature  neuro  eden  evolution  intelligence  exocortex  retrofit  deep-materialism  quantitative-qualitative  multi  org:mag  org:sci  popsci  summary  nibble  org:inst 
april 2017 by nhaliday
Learning mathematics in a visuospatial format: A randomized, controlled trial of mental abacus instruction
We asked whether MA improves students’ mathematical abilities, and whether expertise – which requires sustained practice of mental imagery – is driven by changes to basic cognitive capacities like working memory. MA students improved on arithmetic tasks relative to controls, but training was not associated with changes to basic cognitive abilities. Instead, differences in spatial working memory at the beginning of the study mediated MA learning. We conclude that MA expertise can be achieved by many children in standard classrooms and results from efficient use of pre-existing abilities.

Cohen’s d = .60 (95% CI: .30 - .89) for arithmetic, .24 (-.05 - .52) for WJ-III, and .28 (.00 - .57) for place value

This finding suggests that the development of MA expertise is mediated by children’s pre-existing cognitive abilities, and thus that MA may not be suitable for all K-12 classroom environments, especially in groups of children who have low spatial working memory or attentional capacities (which may have been the case in our study). Critically, this does not mean that MA expertise depends on unusually strong cognitive abilities. Perhaps because we studied children from relatively disadvantaged backgrounds, few Mental Abacus 21 children in our sample had SWM capacities comparable to those seen among typical children in the United States.
study  psychology  cog-psych  visuo  spatial  iq  mental-math  field-study  education  learning  intelligence  nitty-gritty  india  asia  psych-architecture  c:**  intervention  effect-size  flexibility  quantitative-qualitative  input-output 
march 2017 by nhaliday
Origins of the brain networks for advanced mathematics in expert mathematicians
The origins of human abilities for mathematics are debated: Some theories suggest that they are founded upon evolutionarily ancient brain circuits for number and space and others that they are grounded in language competence. To evaluate what brain systems underlie higher mathematics, we scanned professional mathematicians and mathematically naive subjects of equal academic standing as they evaluated the truth of advanced mathematical and nonmathematical statements. In professional mathematicians only, mathematical statements, whether in algebra, analysis, topology or geometry, activated a reproducible set of bilateral frontal, Intraparietal, and ventrolateral temporal regions. Crucially, these activations spared areas related to language and to general-knowledge semantics. Rather, mathematical judgments were related to an amplification of brain activity at sites that are activated by numbers and formulas in nonmathematicians, with a corresponding reduction in nearby face responses. The evidence suggests that high-level mathematical expertise and basic number sense share common roots in a nonlinguistic brain circuit.
pdf  study  psychology  cog-psych  neuro  language  math  learning  eden  meta:math  intelligence  visuo  spatial  visual-understanding  brain-scan  neuro-nitgrit  neurons  quantitative-qualitative  psych-architecture  🌞  retrofit  :/ 
february 2017 by nhaliday
Shtetl-Optimized » Blog Archive » Why I Am Not An Integrated Information Theorist (or, The Unconscious Expander)
In my opinion, how to construct a theory that tells us which physical systems are conscious and which aren’t—giving answers that agree with “common sense” whenever the latter renders a verdict—is one of the deepest, most fascinating problems in all of science. Since I don’t know a standard name for the problem, I hereby call it the Pretty-Hard Problem of Consciousness. Unlike with the Hard Hard Problem, I don’t know of any philosophical reason why the Pretty-Hard Problem should be inherently unsolvable; but on the other hand, humans seem nowhere close to solving it (if we had solved it, then we could reduce the abortion, animal rights, and strong AI debates to “gentlemen, let us calculate!”).

Now, I regard IIT as a serious, honorable attempt to grapple with the Pretty-Hard Problem of Consciousness: something concrete enough to move the discussion forward. But I also regard IIT as a failed attempt on the problem. And I wish people would recognize its failure, learn from it, and move on.

In my view, IIT fails to solve the Pretty-Hard Problem because it unavoidably predicts vast amounts of consciousness in physical systems that no sane person would regard as particularly “conscious” at all: indeed, systems that do nothing but apply a low-density parity-check code, or other simple transformations of their input data. Moreover, IIT predicts not merely that these systems are “slightly” conscious (which would be fine), but that they can be unboundedly more conscious than humans are.

To justify that claim, I first need to define Φ. Strikingly, despite the large literature about Φ, I had a hard time finding a clear mathematical definition of it—one that not only listed formulas but fully defined the structures that the formulas were talking about. Complicating matters further, there are several competing definitions of Φ in the literature, including ΦDM (discrete memoryless), ΦE (empirical), and ΦAR (autoregressive), which apply in different contexts (e.g., some take time evolution into account and others don’t). Nevertheless, I think I can define Φ in a way that will make sense to theoretical computer scientists. And crucially, the broad point I want to make about Φ won’t depend much on the details of its formalization anyway.

We consider a discrete system in a state x=(x1,…,xn)∈Sn, where S is a finite alphabet (the simplest case is S={0,1}). We imagine that the system evolves via an “updating function” f:Sn→Sn. Then the question that interests us is whether the xi‘s can be partitioned into two sets A and B, of roughly comparable size, such that the updates to the variables in A don’t depend very much on the variables in B and vice versa. If such a partition exists, then we say that the computation of f does not involve “global integration of information,” which on Tononi’s theory is a defining aspect of consciousness.
aaronson  tcstariat  philosophy  dennett  interdisciplinary  critique  nibble  org:bleg  within-without  the-self  neuro  psychology  cog-psych  metrics  nitty-gritty  composition-decomposition  complex-systems  cybernetics  bits  information-theory  entropy-like  forms-instances  empirical  walls  arrows  math.DS  structure  causation  quantitative-qualitative  number  extrema  optimization  abstraction  explanation  summary  degrees-of-freedom  whole-partial-many  network-structure  systematic-ad-hoc  tcs  complexity  hardness  no-go  computation  measurement  intricacy  examples  counterexample  coding-theory  linear-algebra  fields  graphs  graph-theory  expanders  math  math.CO  properties  local-global  intuition  error  definition  coupling-cohesion 
january 2017 by nhaliday
Shut Up And Guess - Less Wrong
At what confidence level do you guess? At what confidence level do you answer "don't know"?

I took several of these tests last month, and the first thing I did was some quick mental calculations. If I have zero knowledge of a question, my expected gain from answering is 50% probability of earning one point and 50% probability of losing one half point. Therefore, my expected gain from answering a question is .5(1)-.5(.5)= +.25 points. Compare this to an expected gain of zero from not answering the question at all. Therefore, I ought to guess on every question, even if I have zero knowledge. If I have some inkling, well, that's even better.

You look disappointed. This isn't a very exciting application of arcane Less Wrong knowledge. Anyone with basic math skills should be able to calculate that out, right?

I attend a pretty good university, and I'm in a postgraduate class where most of us have at least a bachelor's degree in a hard science, and a few have master's degrees. And yet, talking to my classmates in the cafeteria after the first test was finished, I started to realize I was the only person in the class who hadn't answered "don't know" to any questions.

even more interesting stories in the comments
street-fighting  lesswrong  yvain  essay  rationality  regularizer  len:short  ratty  stories  higher-ed  education  decision-theory  frontier  thinking  spock  biases  pre-2013  low-hanging  decision-making  mental-math  bounded-cognition  nitty-gritty  paying-rent  info-dynamics  analytical-holistic  quantitative-qualitative 
september 2016 by nhaliday
Information Processing: High V, Low M
Commenter Gwen on the blog Infoproc hints at a possible neurological basis for this phenomenon, stating that “one bit of speculation I have: the neuroimaging studies seem to consistently point towards efficiency of global connectivity rather than efficiency or other traits of individual regions; you could interpret this as a general factor across a wide battery of tasks because they are all hindered to a greater or lesser degree by simply difficulties in coordination while performing the task; so perhaps what causes Spearman is global connectivity becoming around as efficient as possible and no longer a bottleneck for most tasks, and instead individual brain regions start dominating additional performance improvements. So up to a certain level of global communication efficiency, there is a general intelligence factor but then specific abilities like spatial vs verbal come apart and cease to have common bottlenecks and brain tilts manifest themselves much more clearly.” [10] This certainly seem plausible enough. Let’s hope that those far smarter than ourselves will slowly get to the bottom of these matters over the coming decades.


My main prediction here then is that based on HBD, I don’t expect China or East Asia to rival the Anglosphere in the life sciences and medicine or other verbally loaded scientific fields. Perhaps China can mirror Japan in developing pockets of strengths in various areas of the life sciences. Given its significantly larger population, this might indeed translate into non-trivial high-end output in the fields of biology and biomedicine. The core strengths of East Asian countries though, as science in the region matures, will lie primarily in quantitative areas such as physics or chemistry, and this is where I predict the region will shine in the coming years. China’s recent forays into quantum cryptography provide one such example. [40]


In fact, as anyone who’s been paying attention has noticed, modern day tech is essentially a California and East Asian affair, with the former focused on software and the latter more so on hardware. American companies dominate in the realm of internet infrastructure and platforms, while East Asia is predominant in consumer electronics hardware, although as noted, China does have its own versions of general purpose tech giants in companies like Baidu, Alibaba, and Tencent. By contrast, Europe today has relatively few well known tech companies apart from some successful apps such as Spotify or Skype and entities such as Nokia or Ericsson. [24] It used to have more established technology companies back in the day, but the onslaught of competition from the US and East Asia put a huge dent in Europe’s technology industry.


Although many will point to institutional factors such as China or the United States enjoying large, unfragmented markets to explain the decline of European tech, I actually want to offer a more HBD oriented explanation not only for why Europe seems to lag in technology and engineering relative to America and East Asia, but also for why tech in the United States is skewed towards software, while tech in East Asia is skewed towards hardware. I believe that the various phenomenon described above can all be explained by one common underlying mechanism, namely the math/verbal split. Simply put, if you’re really good at math, you gravitate towards hardware. If your skills are more verbally inclined, you gravitate towards software. In general, your chances of working in engineering and technology are greatly bolstered by being spatially and quantitatively adept.


If my assertions here are correct, I predict that over the coming decades, we’ll increasingly see different groups of people specialize in areas where they’re most proficient at. This means that East Asians and East Asian societies will be characterized by a skew towards quantitative STEM fields such as physics, chemistry, and engineering and towards hardware and high-tech manufacturing, while Western societies will be characterized by a skew towards the biological sciences and medicine, social sciences, humanities, and software and services. [41] Likewise, India also appears to be a country whose strengths lie more in software and services as opposed to hardware and manufacturing. My fundamental thesis is that all of this is ultimately a reflection of underlying HBD, in particular the math/verbal split. I believe this is the crucial insight lacking in the analyses others offer.


Sailer In TakiMag: What Does the Deep History of China and India Tell Us About Their Futures?: http://takimag.com/article/a_pair_of_giants_steve_sailer/print#axzz5BHqRM5nD
In an age of postmodern postnationalism that worships diversity, China is old-fashioned. It’s homogeneous, nationalist, and modernist. China seems to have utilitarian 1950s values.

For example, Chinese higher education isn’t yet competitive on the world stage, but China appears to be doing a decent job of educating the masses in the basics. High Chinese scores on the international PISA test for 15-year-olds shouldn’t be taken at face value, but it’s likely that China is approaching first-world norms in providing equality of opportunity through adequate schooling.

Due to censorship and language barriers, Chinese individuals aren’t well represented in English-language cyberspace. Yet in real life, the Chinese build things, such as bridges that don’t fall down, and they make stuff, employing tens of millions of proletarians in their factories.

The Chinese seem, on average, to be good with their hands, which is something that often makes American intellectuals vaguely uncomfortable. But at least the Chinese proles are over there merely manufacturing things cheaply, so American thinkers don’t resent them as much as they do American tradesmen.

Much of the class hatred in America stems from the suspicions of the intelligentsia that plumbers and mechanics are using their voodoo cognitive ability of staring at 3-D physical objects and somehow understanding why they are broken to overcharge them for repairs. Thus it’s only fair, America’s white-collar managers assume, that they export factory jobs to lower-paid China so that they can afford to throw manufactured junk away when it breaks and buy new junk rather than have to subject themselves to the humiliation of admitting to educationally inferior American repairmen that they don’t understand what is wrong with their own gizmos.


This Chinese lack of diversity is out of style, and yet it seems to make it easier for the Chinese to get things done.

In contrast, India appears more congenial to current-year thinkers. India seems postmodern and postnationalist, although it might be more accurately called premodern and prenationalist.


Another feature that makes our commentariat comfortable with India is that Indians don’t seem to be all that mechanically facile, perhaps especially not the priestly Brahmin caste, with whom Western intellectuals primarily interact.

And the Indians tend to be more verbally agile than the Chinese and more adept at the kind of high-level abstract thinking required by modern computer science, law, and soft major academia. Thousands of years of Brahmin speculations didn’t do much for India’s prosperity, but somehow have prepared Indians to make fortunes in 21st-century America.

- Study used two moderately large American community samples.
- Verbal and not nonverbal ability drives relationship between ability and ideology.
- Ideology and ability appear more related when ability assessed professionally.
- Self-administered or nonverbal ability measures will underestimate this relationship.

Every once in a while I realize something with my conscious mind that I’ve understood implicitly for a long time. Such a thing happened to me yesterday, while reading a post on Stalin, by Amritas. It is this:

S = P + E

Social Status equals Political Capital plus Economic Capital


Here’s an example of its explanatory power: If we assume that a major human drive is to maximize S, we can predict that people with high P will attempt to minimize the value of E (since S-maximization is a zero-sum game). And so we see. Throughout history there has been an attempt to ennoble P while stigmatizing E. Conversely, throughout history, people with high E use it to acquire P. Thus, in today’s society we see that socially adept people, who have inborn P skills, tend to favor socialism or big government – where their skills are most valuable, while economically productive people are often frustrated by the fact that their concrete contribution to society is deplored.

Now, you might ask yourself why the reverse isn’t true, why people with high P don’t use it to acquire E, while people with high E don’t attempt to stigmatize P? Well, I think that is true. But, while the equation is mathematically symmetrical, the nature of P-talent and E-talent is not. P-talent can be used to acquire E from the E-adept, but the E-adept are no match for the P-adept in the attempt to stigmatize P. Furthermore, P is endogenous to the system, while E is exogenous. In other words, the P-adept have the ability to manipulate the system itself to make P-talent more valuable in acquiring E, while the E-adept have no ability to manipulate the external environment to make E-talent more valuable in acquiring P.


1. All institutions will tend to be dominated by the P-adept
2. All institutions that have no in-built exogenous criteria for measuring its members’ status will inevitably be dominated by the P-adept
3. Universities will inevitably be dominated by the P-adept
4. Within a university, humanities and social sciences will be more dominated by the P-adept than … [more]
iq  science  culture  critique  lol  hsu  pre-2013  scitariat  rationality  epistemic  error  bounded-cognition  descriptive  crooked  realness  being-right  info-dynamics  truth  language  intelligence  kumbaya-kult  quantitative-qualitative  multi  study  psychology  cog-psych  social-psych  ideology  politics  elite  correlation  roots  signaling  psychometrics  status  capital  human-capital  things  phalanges  chart  metabuch  institutions  higher-ed  academia  class-warfare  symmetry  coalitions  strategy  class  s:*  c:**  communism  inequality  socs-and-mops  twitter  social  commentary  gnon  unaffiliated  zero-positive-sum  rot  gnxp  adversarial  🎩  stylized-facts  gender  gender-diff  cooperate-defect  ratty  yvain  ssc  tech  sv  identity-politics  culture-war  reddit  subculture  internet  🐸  discrimination  trump  systematic-ad-hoc  urban  britain  brexit  populism  diversity  literature  fiction  media  military  anomie  essay  rhetoric  martial  MENA  history  mostly-modern  stories  government  polisci  org:popup  right-wing  propaganda  counter-r 
september 2016 by nhaliday
The Age of Reason - Marginal REVOLUTION
rapid decline in basic arithmetic ability across population after age 50 (and not even that high then). how much due to selection? I guess higher IQ => longer life, which only makes things worse.
aging  intelligence  data  iq  econotariat  marginal-rev  age-generation  correlation  quantitative-qualitative 
august 2016 by nhaliday

related tags

2016  :/  aaronson  ability-competence  abstraction  academia  accuracy  adversarial  age-generation  aging  ai  alien-character  analysis  analytical-holistic  anarcho-tyranny  anglo  anglosphere  anomie  anthropology  aphorism  apollonian-dionysian  arrows  article  asia  automation  baseball  behavioral-gen  being-right  benchmarks  biases  big-peeps  big-picture  bio  bits  books  bounded-cognition  brain-scan  brexit  britain  broad-econ  business  c:***  c:**  caching  calculation  caltech  capital  capitalism  carcinisation  career  causation  chart  cheatsheet  checklists  china  clarity  class-warfare  class  client-server  cliometrics  coalitions  cocktail  coding-theory  cog-psych  cohesion  coming-apart  commentary  communication  communism  comparison  complex-systems  complexity  composition-decomposition  computation  conceptual-vocab  concrete  conquest-empire  consilience  contrarianism  cooperate-defect  correlation  cost-benefit  counter-revolution  counterexample  coupling-cohesion  course  creative  crime  critique  crooked  cultural-dynamics  culture-war  culture  cybernetics  data-science  data  death  debate  decision-making  decision-theory  deep-materialism  defense  definition  degrees-of-freedom  demographics  dennett  dependence-independence  descriptive  detail-architecture  developing-world  dignity  dirty-hands  discrimination  discussion  distribution  diversity  drugs  duty  dynamic  dysgenics  early-modern  econ-metrics  econ-productivity  economics  econotariat  eden  education  effect-size  egalitarianism-hierarchy  elite  embedded-cognition  embodied  empirical  engineering  entropy-like  envy  epistemic  error  essay  estimate  ethics  europe  evolution  evopsych  examples  exocortex  expanders  experiment  explanation  exploratory  expression-survival  extrema  farmers-and-foragers  fermi  fertility  fiction  field-study  fields  finance  flexibility  fluid  foreign-lang  foreign-policy  forms-instances  frontier  gallic  games  gavisti  gender-diff  gender  genetics  geopolitics  germanic  giants  gnon  gnosis-logos  gnxp  government  graph-theory  graphs  grokkability-clarity  group-level  group-selection  growth-econ  gwern  h2o  hardness  hari-seldon  heavy-industry  heuristic  hi-order-bits  higher-ed  history  hmm  hsu  human-capital  identity-politics  ideology  increase-decrease  india  inequality  info-dynamics  info-foraging  information-theory  inhibition  input-output  insight  instinct  institutions  intelligence  interdisciplinary  internet  intervention  interview-prep  intricacy  intuition  investing  iq  iron-age  islam  japan  jargon  judaism  judgement  kinship  knowledge  kumbaya-kult  labor  language  large-factor  latency-throughput  latin-america  law  leadership  learning  len:short  lens  lesswrong  let-me-see  letters  levers  leviathan  lexical  linear-algebra  linguistics  list  literature  local-global  logistics  lol  low-hanging  macro  magnitude  map-territory  marginal-rev  marginal  martial  math.co  math.ds  math  measure  measurement  media  medicine  mediterranean  mena  mental-math  meta:math  meta:medicine  meta:prediction  metabuch  metal-to-virtual  methodology  metrics  micro  military  models  modernity  moments  money-for-time  morality  mostly-modern  multi  multiplicative  mystic  n-factor  nationalism-globalism  nature  network-structure  networking  neuro-nitgrit  neuro  neurons  news  nibble  nietzschean  nitty-gritty  no-go  nordic  number  objektbuch  oceans  open-closed  operational  opioids  optimization  order-disorder  orfe  org:bleg  org:edu  org:inst  org:junk  org:mag  org:nat  org:popup  org:rec  org:sci  organization  organizing  os  outcome-risk  paste  patho-altruism  patience  paying-rent  pdf  performance  phalanges  philosophy  physics  piracy  poast  poetry  polisci  politics  poll  pop-diff  popsci  population-genetics  population  populism  postrat  power  pre-2013  prioritizing  productivity  programming  propaganda  properties  psych-architecture  psycho-atoms  psychology  psychometrics  putnam-like  q-n-a  qra  quality  quotes  race  rant  rat-pack  rationality  ratty  realness  reddit  reference  reflection  regional-scatter-plots  regularizer  religion  retrofit  review  rhetoric  right-wing  roots  rot  russia  s:*  safety  sapiens  scale  scaling-tech  science  scitariat  sequential  signaling  similarity  simler  simulation  sinosphere  social-norms  social-psych  social-science  social  socs-and-mops  spatial  speed  spock  sports  ssc  stackex  stagnation  stats  status  stories  strategy  street-fighting  structure  study  stylized-facts  subculture  summary  sv  symmetry  systematic-ad-hoc  systems  tcs  tcstariat  tech  technocracy  techtariat  the-classics  the-great-west-whale  the-self  the-world-is-just-atoms  theory-of-mind  theory-practice  theos  thick-thin  things  thinking  time-preference  time-use  time  todo  top-n  trade  tradeoffs  trees  trends  tribalism  tricki  trivia  trump  truth  twitter  unaffiliated  uncertainty  unintended-consequences  unit  universalism-particularism  urban-rural  urban  us-them  usa  values  visual-understanding  visualization  visuo  walls  war-nerd  war  wealth  web  weird  west-hunter  westminster  white-paper  whole-partial-many  wiki  wire-guided  within-group  within-without  woah  wonkish  workflow  world  worse-is-better/the-right-thing  yak-shaving  yoga  yvain  zero-positive-sum  🌞  🎩  🐸  👽  🖥  🦀 

Copy this bookmark: