nhaliday + habit   39

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
Understanding differences in life expectancy inequality - Marginal REVOLUTION
The life expectancy gap at age 40 between high income and low income individuals is substantial. I explore how medical expenditures and unhealthy behaviors account for the life expectancy gap. The data reveals the following. First, low income individuals tend to spend more on healthcare than high income individuals at all ages. Moreover, health disparities by income is salient due to differences in unhealthy behaviors such as heavy smoking. To answer how much dierences in access to medical services and unhealthy behaviors can explain in light of these stylized facts, I construct a life cycle model. The distinctive features of the model are that it flexibly incorporates unobserved, potentially correlated initial human and health capital stocks and embed unhealthy behaviors. Furthermore, the model includes two health systems: private health insurance and Medicare. The main findings are i) differences in access to medical care driven by income inequality potentially accounts for 12.5% of the life expectancy gap, ii) health insurance increases longevity for low income individuals, but modestly, iii) the health condition when young shapes the trend in average medical expenditures by income groups and iv) the impact of differences in unhealthy behaviors is predominant in understanding the life expectancy gap.

Health spending negatively correlated with health outcomes: http://www.arnoldkling.com/blog/health-spending-negatively-correlated-with-health-outcomes/
Pointer from Tyler Cowen. In the paper, Katera argues that the lower life expectancy of lower-income individuals reflects differences in their behavior rather than differences in access to medical services. My thoughts:

1. This seems consistent with Hansonian medicine, in which on average the benefits of more health care spending are about zero. But it also could suggest a counter to the Hanson view. That is, it could be that at the margin everyone benefits from more health care spending, but because the people who spend more tend to be people who behave in unhealthy ways, the benefits of more spending are difficult to tease out from the data. It is like trying to measure the relationship between policing and crime. If areas with a lot of crime tend to require more police, then a simple correlation analysis might suggest that adding police does not help to reduce crime.

2. Katera’s findings are not politically correct. I am on the record as saying that academic economics is headed toward a state in which findings like this will make one almost unemployable. Imagine trying to get Katera hired in a sociology department. Katera’s experience as a job candidate will be help to indicate how far along we are on this path.
econotariat  marginal-rev  commentary  links  quotes  study  summary  economics  health  healthcare  inequality  sociology  multi  cracker-econ  prediction  social-science  westminster  censorship  academia  biases  truth  egalitarianism-hierarchy  left-wing  habit 
november 2017 by nhaliday
In Defense of Individualist Culture | Otium
The salient feature of an individualist environment is that nobody directly tries to make you do anything.

...

I see a lot of writers these days raising problems with modern individualist culture, and it may be an especially timely topic. The Internet is a novel superstimulus, and it changes more rapidly, and affords people more options, than ever before. We need to think about the actual consequences of a world where many people are in practice being left alone to do what they want, and clearly not all the consequences are positive.

But I do want to suggest some considerations in favor of individualist culture — that often-derided “atomized modern world” that most of us live in.

We Aren’t Clay

interesting: https://slatestarscratchpad.tumblr.com/post/162329749236/httpssrconstantinwordpresscom20170627in-de

bleck:
Patriarchy is the Problem: https://srconstantin.wordpress.com/2017/09/12/patriarchy-is-the-problem/
ratty  core-rats  rhetoric  values  social-norms  society  anthropology  individualism-collectivism  higher-ed  labor  incentives  habit  internet  regularizer  behavioral-gen  biodet  ego-depletion  psychology  social-psych  thinking  rationality  tradition  egalitarianism-hierarchy  murray  putnam-like  coming-apart  cohesion  modernity  migration  essay  n-factor  multi  tumblr  social  yvain  ssc  critique  commentary  debate  moloch  community  civil-liberty  truth  cooperate-defect  enlightenment-renaissance-restoration-reformation  markets  open-closed  gender  farmers-and-foragers  religion  christianity  judaism  theos  social-structure  authoritarianism 
june 2017 by nhaliday
A Systematic Review of Personality Trait Change Through Intervention
gwern: https://plus.google.com/103530621949492999968/posts/6kFWRkUTXSV
Messy (noticeable levels of publication bias, high heterogeneity), but results look plausible: 8-week+ interventions can improve emotional stability and neuroticism, change Openness and Extraversion somewhat, but leave Conscientiousness largely unaffected.

hbd chick/murray: https://twitter.com/hbdchick/status/818138228553302017

- 8-week intervention -> d=.37 after (an average of) 24 weeks
- after 8 weeks, strong diminishing returns
- pretty much entirely self-report
- good page-length discussion of limitations at end
- there was actually a nonzero effect for conscientiousness (~.2). not sure it would remain w/o publication bias.
- what's the difference between Table 2 and 3? I guess RCT vs. something else? why highlight Table 2 in abstract then?
pdf  study  meta-analysis  psychology  cog-psych  personality  regularizer  environmental-effects  psychiatry  multi  🌞  evidence-based  stress  habit  discipline  the-monster  biodet  longitudinal  🦉  self-report  operational  s:**  intervention  effect-size  extra-introversion  behavioral-gen  flexibility  solid-study  curvature  volo-avolo  bootstraps  convexity-curvature 
january 2017 by nhaliday
Thing Finder: Avoid boring people
From Avoid Boring People by James D. Watson. He captures key lessons he learned at the end of each chapter. Some are banal, some are true but not original, some are true but only in particular circumstances, some are contradictory with others, etc. Watson is one of the pivotal scientists of the modern era and regardless of consistency or other critical criteria, it is useful to know what he thinks were the key lessons. From youth to mature age, I have captured all his lessons. Some are self-evident. Others, you need to read Avoid Boring People to see what he is getting at.
list  books  summary  spearhead  reflection  science  career  strategy  tactics  metabuch  habit  unaffiliated  giants 
december 2016 by nhaliday
Thought Patterns: Marginal · Alex Guzey
Problem: you have a certain action you want to be doing but when the moment comes you forget about it or the trigger just never fully comes to your attention.

Example: Instead of postponing small tasks (e.g. taking out the trash) I want to do them immediately, but when they actually come, I forget about this intention and continue with whatever I was doing before i.e. telling myself I’ll do them later.

How to solve? Make these if-else action plans to always be somewhere at the back of the mind, preferably not far from the working memory, always on the edge of awareness.

Solution: Anki deck with the maximum card interval of 1 day and long initial learning curve.
ratty  advice  lifehack  rationality  akrasia  hmm  discipline  neurons  habit  workflow  🦉  wire-guided  skeleton  gtd  time-use  s:*  metabuch 
december 2016 by nhaliday
PLOS ONE: Moderate Alcohol Use and Cardiovascular Disease from Mendelian Randomization
Low to moderate alcohol use among men had the expected effects on most CVD risk factors but not fasting glucose. Larger studies are needed to confirm the null associations with IHD, CVD and fasting glucose.
study  methodology  longevity  health  ethanol  cardio  cocktail  habit  long-term  epidemiology  intervention  endo-exo  null-result  public-health  mendel-randomization  endogenous-exogenous 
september 2016 by nhaliday
Why Constant Learners All Embrace the 5-Hour Rule – The Mission – Medium
better than the title suggests, eg, Ben Franklins personal routine looks a lot like what I arrived at independently
growth  akrasia  advice  vulgar  habit  org:med  productivity  learning  creative  wire-guided  practice  time-use  studying 
august 2016 by nhaliday
orthonormal comments on Where to Intervene in a Human? - Less Wrong
The highest-level hack I've found useful is to make a habit of noticing and recording the details of any part of my life that gives me trouble. It's amazing how quickly patterns start to jump out when you've assembled actual data about something that's vaguely frustrated you for a while.
lifehack  productivity  workflow  rationality  advice  akrasia  quantified-self  growth  habit  discipline  lesswrong  ratty  rat-pack  biases  decision-making  🦉  wire-guided  time-use  s:null 
july 2016 by nhaliday
Helpless to Prevent Cancer? Actually, Quite a Bit Is in Your Control - The New York Times
nchelluri on HN:
Interesting article. I don't know that I'd take too much to heart given some of the obvious caveats the author has been nice enough to make explicit, but it sounds like I'd be hard pressed to argue the suggestions contained within.
For the tl;dr crowd:
- written by a physician
- people often think that heart disease is controllable by our actions whereas they feel that cancer is not
- > people can’t change many risk factors of heart disease like age, race and family genetics
- > A more recent study published in Nature argues that there is a lot we can do. [about cancer]
- > Using sophisticated modeling techniques, the researchers argued that less than 30 percent of the lifetime risk of getting cancer was because of intrinsic risk factors, or the “bad luck.”
- > [another study] identified four domains that are often noted to be related to disease prevention: smoking, drinking, obesity and exercise
- if you limit that stuff, and not meaning 0 smoking, but "having quit within the last 5 years", no more than 1 drink a day (women) or 2 drinks a day (men), your BMI is >= 18.5 and <= 27.5 (BMI is such a shit and antiquated metric, IMO, incidentally), and perform 150mins/wk moderate intensity excercise or 75mins/wk vigorous intensity exercise, then you're in the low risk group. so the barrier to entry is not super high.
HOWever:
> No study is perfect, and this is no exception. These cohorts are overwhelmingly white and consist of health professionals, who are not necessarily like the population at large. But the checks against the national data showed that if anything, these results might be underestimating how much cancer is preventable by healthy behaviors.
[...]
Optimistic conclusion, for a skeptical cheapskate like myself,
> As we talk about cancer “moonshots” that will most likely cost billions of dollars and might not achieve results, it’s worth considering that — as in many cases — prevention is not only the cheapest course, but also the most effective.
Hard to fault this article. I'm glad you posted it, thank you.
fitness  health  longevity  advice  expert  embodied  aging  cancer  habit  long-term  org:rec  obesity  multi  org:data  epidemiology  fitsci  expert-experience 
july 2016 by nhaliday

bundles : disciplinegrowthvirtue

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