composition-decomposition   29

Genetic influences on measures of the environment: a systematic review | Psychological Medicine | Cambridge Core
Background. Traditional models of psychiatric epidemiology often assume that the relationship between individuals and their environment is unidirectional, from environment to person. Accumulating evidence from developmental and genetic studies has made this perspective increasingly untenable.

Results. We identified 55 independent studies organized into seven categories: general and specific stressful life events (SLEs), parenting as reported by child, parenting reported by parent, family environment, social support, peer interactions, and marital quality. Thirty-five environmental measures in these categories were examined by at least two studies and produced weighted heritability estimates ranging from 7% to 39%, with most falling between 15% and 35%. The weighted heritability for all environmental measures in all studies was 27%. The weighted heritability for environmental measures by rating method was: self-report 29%, informant report 26%, and direct rater or videotape observation (typically examining 10 min of behavior) 14%.
study  meta-analysis  biodet  behavioral-gen  genetics  population-genetics  🌞  regularizer  environmental-effects  GxE  psychiatry  epidemiology  composition-decomposition 
10 days ago by nhaliday
design patterns - What is MVC, really? - Software Engineering Stack Exchange
The model manages fundamental behaviors and data of the application. It can respond to requests for information, respond to instructions to change the state of its information, and even to notify observers in event-driven systems when information changes. This could be a database, or any number of data structures or storage systems. In short, it is the data and data-management of the application.

The view effectively provides the user interface element of the application. It'll render data from the model into a form that is suitable for the user interface.

The controller receives user input and makes calls to model objects and the view to perform appropriate actions.


Though this answer has 21 upvotes, I find the sentence "This could be a database, or any number of data structures or storage systems. (tl;dr : it's the data and data-management of the application)" horrible. The model is the pure business/domain logic. And this can and should be so much more than data management of an application. I also differentiate between domain logic and application logic. A controller should not ever contain business/domain logic or talk to a database directly.
q-n-a  stackex  explanation  concept  conceptual-vocab  structure  composition-decomposition  programming  engineering  best-practices  pragmatic  jargon  thinking  metabuch  working-stiff  tech  🖥  checklists 
16 days ago by nhaliday
Why are children in the same family so different from one another? - PubMed - NCBI
- Plomin et al

The article has three goals: (1) To describe quantitative genetic methods and research that lead to the conclusion that nonshared environment is responsible for most environmental variation relevant to psychological development, (2) to discuss specific nonshared environmental influences that have been studied to date, and (3) to consider relationships between nonshared environmental influences and behavioral differences between children in the same family. The reason for presenting this article in BBS is to draw attention to the far-reaching implications of finding that psychologically relevant environmental influences make children in a family different from, not similar to, one another.
study  essay  article  survey  spearhead  psychology  social-psych  biodet  behavioral-gen  🌞  methodology  environmental-effects  signal-noise  systematic-ad-hoc  composition-decomposition  pdf  piracy  volo-avolo  developmental  iq  cog-psych  variance-components  GxE  nonlinearity  twin-study  personality  sib-study 
18 days ago by nhaliday
Peter Turchin Catalonia Independence Drive: a Case-Study in Applied Cultural Evolution - Peter Turchin
The theoretically interesting question is what is the optimal size of a politically independent unit (“polity”) in today’s world. Clearly, optimal size changes with time and social environment. We know empirically that the optimal size of a European state took a step up following 1500. As a result, the number of independent polities in Europe decreased from many hundreds in 1500 to just over 30 in 1900. The reason was the introduction of gunpowder that greatly elevated war intensity. The new evolutionary regime eliminated almost all of the small states, apart from a few special cases (like the Papacy or Monaco).

In today’s Europe, however, war has ceased to be an evolutionary force. It may change, but since 1945 the success or failure of European polities has been largely determined by their ability to deliver high levels of living standards to their citizens. Economics is not the only aspect of well-being, but let’s focus on it here because it is clearly the main driver behind Catalonian independence (since culturally and linguistically Catalonia has been given a free rein within Spain).


This is applied cultural evolution. We can have lots of theories and models about the optimal polity size, but they are worthless without data.

And it’s much more than a scientific issue. The only way for our societies to become better in all kinds of ways (wealthier, more just, more efficient) is to allow cultural evolution a free rein. More specifically, we need cultural group selection at the level of polities. A major problem for the humanity is finding ways to have such cultural group selection to take place without violence. Which is why I find the current moves by Madrid to suppress the Catalonian independence vote by force criminally reckless. It seems that Madrid still wants to go back to the world as it was in the nineteenth century (or more accurately, Europe between 1500 and 1900).

Brief note on Catalonia:
This could be just another footnote in a history book, or an opening passage in the chapter that explains how you got an explosion in the number of states that began around 2017.

Nationalism, Liberalism and the European Paradox:
Imagine for a moment that an ethnic group declared a referendum of independence in an Asian country and the nation state in question promptly sought to take the act of rebellion down. Imagine that in the ensuing chaos over 800 people were injured in a brutal police crackdown. Imagine the international disgust if this had happened in Asia, or the Middle East, or Latin America, or even in parts of Eastern and Central Europe. There would be calls for interventions, the topic would be urgently raised at the Security Council —and there might even be talks of sanctions or the arming of moderate rebels.

Of course, nothing of that sort happened as the Spanish state declared the Catalonian independence referendum a farce.


Remarkably, EU officials have largely remained mute. France’s new great hope, Monsieur Macron has sheepishly supported Spain’s “constitutional unity,” which is weasel-speak for national sovereignty—a concept which is so often dismissed by the very same European nations if it happens immediately outside the geographical region of EU. And this attitude towards nationalism—that it is archaic and obsolete on the one hand, but vitally important on the other—is the core paradox, and, some would say, hypocrisy, that has been laid bare by this sudden outbreak of tension.

It is a hypocrisy because one could argue that since the collapse of the Soviet Union, there has been a consistent and very real attempt to undermine sovereignty in many different parts of the world. To be fair, this has been done with mostly good intentions in the name of institutionalism and global governance, the “responsibility to protect” and universal human rights. With history in the Hegelian sense seemingly over after the collapse of the Berlin Wall, nationalism and great power politics were thought to be a thing of the past—a quaint absurdity—an irrelevance and a barrier to true Enlightenment. But unfortunately history does tend to have a sardonic sense of humour.

The entire European project was built on two fundamentally different ideas. One that promotes economic welfare based on borderless free trade, the free market and social individualism. And the other, promoting a centralized hierarchy, an elite in loco parentis which makes decisions about how many calories one should consume, what plastic one should import, and what gross picture of shredded lungs one should see on the front of a cigarette packet. It endorses sovereignty when it means rule by democracy and the protection of human rights, but not when countries decide to control their borders or their individual monetary and economic policies. Over time, defending these contradictions has become increasingly difficult, with cynical onlookers accusing technocrats of defending an unjustifiable and arbitrary set of principles.

All of this has resulted in three things. Regional ethnic groups in Europe have seen the examples of ethnic groups abroad undermining their own national governments, and they have picked up on these lessons. They also possess the same revolutionary technology—Twitter and the iPhone. Secondly, as Westphalian nation-states have been undermined repeatedly by borderless technocrats, identity movements based on ethnicity have begun to rise up. Humans, tribal at their very core, will always give in to the urge of having a cohesive social group to join, and a flag to wave high. And finally, there really is no logical counterargument to Catalans or Scots wanting to break apart from one union while staying in another. If ultimately, everything is going to be dictated by a handful of liege-lords in Brussels—why even obey the middle-man in Madrid or London?
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18 days ago by nhaliday
The Determinants of Trust
Both individual experiences and community characteristics influence how much people trust each other. Using data drawn from US localities we find that the strongest factors that reduce trust are: i) a recent history of traumatic experiences, even though the passage of time reduces this effect fairly rapidly; ii) belonging to a group that historically felt discriminated against, such as minorities (black in particular) and, to a lesser extent, women; iii) being economically unsuccessful in terms of income and education; iv) living in a racially mixed community and/or in one with a high degree of income disparity. Religious beliefs and ethnic origins do not significantly affect trust. The latter result may be an indication that the American melting pot at least up to a point works, in terms of homogenizing attitudes of different cultures, even though racial cleavages leading to low trust are still quite high.

Understanding Trust:
In this paper we resolve this puzzle by recognizing that trust has two components: a belief-based one and a preference based one. While the sender's behavior reflects both, we show that WVS-like measures capture mostly the belief-based component, while questions on past trusting behavior are better at capturing the preference component of trust.

What is Social Capital? The Determinants of Trust and Trustworthiness:
Using a sample of Harvard undergraduates, we analyze trust and social capital in two experiments. Trusting behavior and trustworthiness rise with social connection; differences in race and nationality reduce the level of trustworthiness. Certain individuals appear to be persistently more trusting, but these people do not say they are more trusting in surveys. Survey questions about trust predict trustworthiness not trust. Only children are less trustworthy. People behave in a more trustworthy manner towards higher status individuals, and therefore status increases earnings in the experiment. As such, high status persons can be said to have more social capital.

Trust and Cheating:
We find that: i) both parties to a trust exchange have implicit notions of what constitutes cheating even in a context without promises or messages; ii) these notions are not unique - the vast majority of senders would feel cheated by a negative return on their trust/investment, whereas a sizable minority defines cheating according to an equal split rule; iii) these implicit notions affect the behavior of both sides to the exchange in terms of whether to trust or cheat and to what extent. Finally, we show that individual's notions of what constitutes cheating can be traced back to two classes of values instilled by parents: cooperative and competitive. The first class of values tends to soften the notion while the other tightens it.

Nationalism and Ethnic-Based Trust: Evidence from an African Border Region:
These results offer microlevel evidence that a strong and salient national identity can diminish ethnic barriers to trust in diverse societies.

One Team, One Nation: Football, Ethnic Identity, and Conflict in Africa:
Do collective experiences that prime sentiments of national unity reduce interethnic tensions and conflict? We examine this question by looking at the impact of national football teams’ victories in sub-Saharan Africa. Combining individual survey data with information on over 70 official matches played between 2000 and 2015, we find that individuals interviewed in the days after a victory of their country’s national team are less likely to report a strong sense of ethnic identity and more likely to trust people of other ethnicities than those interviewed just before. The effect is sizable and robust and is not explained by generic euphoria or optimism. Crucially, national victories do not only affect attitudes but also reduce violence. Indeed, using plausibly exogenous variation from close qualifications to the Africa Cup of Nations, we find that countries that (barely) qualified experience significantly less conflict in the following six months than countries that (barely) did not. Our findings indicate that, even where ethnic tensions have deep historical roots, patriotic shocks can reduce inter-ethnic tensions and have a tangible impact on conflict.

Why Does Ethnic Diversity Undermine Public Goods Provision?:
We identify three families of mechanisms that link diversity to public goods provision—–what we term “preferences,” “technology,” and “strategy selection” mechanisms—–and run a series of experimental games that permit us to compare the explanatory power of distinct mechanisms within each of these three families. Results from games conducted with a random sample of 300 subjects from a slum neighborhood of Kampala, Uganda, suggest that successful public goods provision in homogenous ethnic communities can be attributed to a strategy selection mechanism: in similar settings, co-ethnics play cooperative equilibria, whereas non-co-ethnics do not. In addition, we find evidence for a technology mechanism: co-ethnics are more closely linked on social networks and thus plausibly better able to support cooperation through the threat of social sanction. We find no evidence for prominent preference mechanisms that emphasize the commonality of tastes within ethnic groups or a greater degree of altruism toward co-ethnics, and only weak evidence for technology mechanisms that focus on the impact of shared ethnicity on the productivity of teams.

does it generalize to first world?

Higher Intelligence Groups Have Higher Cooperation Rates in the Repeated Prisoner's Dilemma:
The initial cooperation rates are similar, it increases in the groups with higher intelligence to reach almost full cooperation, while declining in the groups with lower intelligence. The difference is produced by the cumulation of small but persistent differences in the response to past cooperation of the partner. In higher intelligence subjects, cooperation after the initial stages is immediate and becomes the default mode, defection instead requires more time. For lower intelligence groups this difference is absent. Cooperation of higher intelligence subjects is payoff sensitive, thus not automatic: in a treatment with lower continuation probability there is no difference between different intelligence groups

individual payoff, etc.:

Trust, Values and False Consensus:
Trust beliefs are heterogeneous across individuals and, at the same time, persistent across generations. We investigate one mechanism yielding these dual patterns: false consensus. In the context of a trust game experiment, we show that individuals extrapolate from their own type when forming trust beliefs about the same pool of potential partners - i.e., more (less) trustworthy individuals form more optimistic (pessimistic) trust beliefs - and that this tendency continues to color trust beliefs after several rounds of game-play. Moreover, we show that one's own type/trustworthiness can be traced back to the values parents transmit to their children during their upbringing. In a second closely-related experiment, we show the economic impact of mis-calibrated trust beliefs stemming from false consensus. Miscalibrated beliefs lower participants' experimental trust game earnings by about 20 percent on average.

The Right Amount of Trust:
We investigate the relationship between individual trust and individual economic performance. We find that individual income is hump-shaped in a measure of intensity of trust beliefs. Our interpretation is that highly trusting individuals tend to assume too much social risk and to be cheated more often, ultimately performing less well than those with a belief close to the mean trustworthiness of the population. On the other hand, individuals with overly pessimistic beliefs avoid being cheated, but give up profitable opportunities, therefore underperforming. The cost of either too much or too little trust is comparable to the income lost by forgoing college.


This framework allows us to show that income-maximizing trust typically exceeds the trust level of the average person as well as to estimate the distribution of income lost to trust mistakes. We find that although a majority of individuals has well calibrated beliefs, a non-trivial proportion of the population (10%) has trust beliefs sufficiently poorly calibrated to lower income by more than 13%.

Do Trust and Trustworthiness Pay Off?:
Finally, we evaluate these predictions empirically using household-level data for eighteen (mostly developed) countries from the World Values Survey. We find that, on average, a trusting attitude has a positive impact on income, while trustworthiness has a negative impact on income. In addition, we find evidence of complementarity between these two attitudes and the aggregate levels of the complementary attitudes. Most strikingly, the payoff to being trustworthy depends positively on the aggregate amount of trust in a given country.

The Value of Relationships: Evidence from a Supply Shock to Kenyan Rose Exports:
A seller's reputation is defined by buyer's beliefs about seller's reliability. We show that (i) due to lack of enforcement, the volume of trade is constrained by the value of the relationship; (ii) the value of the relationship increases with the age of the relationship; and (iii) during an exogenous negative supply shock deliveries are an inverted-U shaped function of relationship's age.
Using … [more]
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10 weeks ago by nhaliday
A combined analysis of genetically correlated traits identifies 107 loci associated with intelligence | bioRxiv
We apply MTAG to three large GWAS: Sniekers et al (2017) on intelligence, Okbay et al. (2016) on Educational attainment, and Hill et al. (2016) on household income. By combining these three samples our functional sample size increased from 78 308 participants to 147 194. We found 107 independent loci associated with intelligence, implicating 233 genes, using both SNP-based and gene-based GWAS. We find evidence that neurogenesis may explain some of the biological differences in intelligence as well as genes expressed in the synapse and those involved in the regulation of the nervous system.


Finally, using an independent sample of 6 844 individuals we were able to predict 7% of intelligence using SNP data alone.
study  bio  preprint  biodet  behavioral-gen  GWAS  genetics  iq  education  compensation  composition-decomposition  🌞  gwern  meta-analysis  genetic-correlation  scaling-up  methodology  correlation  state-of-art  neuro  neuro-nitgrit 
july 2017 by nhaliday
Intersection of diverse neuronal genomes and neuropsychiatric disease: The Brain Somatic Mosaicism Network
Towards explaining non-shared-environment effects on intelligence, psychiatric disorders, and other cognitive traits - developmental noise such as post-conception mutations in individual cells or groups of cells
pdf  study  psychology  cog-psych  neuro  neuro-nitgrit  brain-scan  biodet  genetics  genomics  GWAS  🌞  psychiatry  behavioral-gen  mutation  environmental-effects  roots  org:nat  gwern  random  autism  proposal  signal-noise  developmental  composition-decomposition 
may 2017 by nhaliday
How Transparency Kills Information Aggregation: Theory and Experiment
We investigate the potential of transparency to influence committee decision-making. We present a model in which career concerned committee members receive private information of different type-dependent accuracy, deliberate and vote. We study three levels of transparency under which career concerns are predicted to affect behavior differently, and test the model’s key predictions in a laboratory experiment. The model’s predictions are largely borne out – transparency negatively affects information aggregation at the deliberation and voting stages, leading to sharply different committee error rates than under secrecy. This occurs despite subjects revealing more information under transparency than theory predicts.
study  economics  micro  decision-making  decision-theory  collaboration  coordination  info-econ  info-dynamics  behavioral-econ  field-study  clarity  ethics  civic  integrity  error  unintended-consequences  🎩  org:ngo  madisonian  regularizer  enlightenment-renaissance-restoration-reformation  white-paper  microfoundations  open-closed  composition-decomposition 
april 2017 by nhaliday
Epidemiology, epigenetics and the ‘Gloomy Prospect’: embracing randomness in population health research and practice | International Journal of Epidemiology | Oxford Academic
Despite successes in identifying causes, it is often claimed that there are missing additional causes for even reasonably well-understood conditions such as lung cancer and coronary heart disease. Several lines of evidence suggest that largely chance events, from the biographical down to the sub-cellular, contribute an important stochastic element to disease risk that is not epidemiologically tractable at the individual level. Epigenetic influences provide a fashionable contemporary explanation for such seemingly random processes. Chance events—such as a particular lifelong smoker living unharmed to 100 years—are averaged out at the group level. As a consequence population-level differences (for example, secular trends or differences between administrative areas) can be entirely explicable by causal factors that appear to account for only a small proportion of individual-level risk. In public health terms, a modifiable cause of the large majority of cases of a disease may have been identified, with a wild goose chase continuing in an attempt to discipline the random nature of the world with respect to which particular individuals will succumb.

choice quote:
"With the perception (in my view exaggerated) that genome-wide association studies (GWASs) have failed to deliver on initial expectations,5 the next phase of enhanced risk prediction will certainly shift to ‘epigenetics’6,7—the currently fashionable response to any question to which you do not know the answer."
study  bio  medicine  genetics  genomics  sib-study  twin-study  cancer  cardio  essay  variance-components  signal-noise  random  causation  roots  gwern  explanation  methodology  🌞  biodet  QTL  correlation  epigenetics  GWAS  epidemiology  big-picture  public-health  composition-decomposition 
march 2017 by nhaliday
Relationships among probability distributions - Wikipedia
- One distribution is a special case of another with a broader parameter space
- Transforms (function of a random variable);
- Combinations (function of several variables);
- Approximation (limit) relationships;
- Compound relationships (useful for Bayesian inference);
- Duality;
- Conjugate priors.
stats  probability  characterization  list  levers  wiki  reference  objektbuch  calculation  distribution  nibble  cheatsheet  closure  composition-decomposition  properties 
february 2017 by nhaliday

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