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Taimou on snapchat: "Urgent care said I might have a stroke. To ER we go 😢" by milkynipplez in Competitiveoverwatch

[–]ImNotJesus 215 points216 points  (0 children)

It is fucking mindblowing that there's no one looking after the mental health of this team.

New study finds that bots were more than twice as influential as humans on Twitter during the 1st US election debate in 2016, and more likely to be pro-Republican by [deleted] in science

[–]ImNotJesus[M] -1 points0 points  (0 children)

Hi timmaeus, your submission has been removed for the following reason(s):

Papers on pre-print services such as arXiv and bioRxiv are not a peer-reviewed and are ineligible per Submission Rule #1b. If the research has been published in a peer-reviewed journal, please link to it in the comments and message the moderators for re-approval.

If you feel this was done in error, or would like further clarification, please don't hesitate to message the mods.

New paper suggests that if the government provides what people need, they will be less likely to seek help from supernatural entities. They found that better government services were related to lower religiosity among countries (Study 1) and states in the United States (Study 2). by ImNotJesus in science

[–]ImNotJesus[S] 117 points118 points  (0 children)

Yes, I don't remember claiming it was definitely causal. I was just explaining that time lapse data can "imply" "potential" causation. But thank you for explaining what a confounding variable is to me.

New paper suggests that if the government provides what people need, they will be less likely to seek help from supernatural entities. They found that better government services were related to lower religiosity among countries (Study 1) and states in the United States (Study 2). by ImNotJesus in science

[–]ImNotJesus[S] 2 points3 points  (0 children)

1)

Quality of life and government services. The construction of the quality of life and government services measures were discussed elsewhere (Zuckerman, Li, & Diener, 2017). Briefly, both were composites of variables that were obtained from the World Bank (see URL3 in supplementary materials) and the World Fact Book. The quality of life composite included six variables. The first variable, education, was itself a composite comprising three measures obtained separately for males and females from the World Bank for the years 2005 to 2009: persistence to last grade of primary education, progression to secondary school, and literacy rate (all scored as percentage in female or male cohorts). We first averaged the variables across the years for which they were available and, because of skewness, log transformed them. As the averages were highly intercorrelated (rs = .53-.77), they were standardized and combined into separate composites for males and females (α = .88 for both composites). As the two composites were highly correlated (r = .96), they were combined into one educational variable. The remaining five variables in the quality of life composite were infant mortality (number of deaths/1,000 live births), percentage population in urban areas, life expectancy, number of physicians/1,000 population, and percentage of population below poverty level. Infant mortality, life expectancy, and poverty were log transformed due to skewness. After reverse scoring infant mortality and poverty, the six variables were standardized and combined into a single quality of life composite (α = .87).1

2) Haven't read the full paper yet but having a time series data set too makes a compelling cause that you can't reverse direction here. There's obviously higher risk of third variables in cross-sectional research but the temporal data is compelling.

New paper suggests that if the government provides what people need, they will be less likely to seek help from supernatural entities. They found that better government services were related to lower religiosity among countries (Study 1) and states in the United States (Study 2). by ImNotJesus in science

[–]ImNotJesus[S] 1379 points1380 points  (0 children)

This sort of research is what we call cross-sectional (taking a cross-section of society and measuring them). Cross-sectional research is far less useful for making causal claims than experimental (manipulating something) research. It's absolutely important and useful and can help point us towards causal claims but definitely should be seen as more indicative on trends than experimental research.

One thing that does imply potential causation is that they had the right temporal relationship:

Study 2 also showed that during 2008-2013, better government services in a specific year predicted lower religiosity 1 to 2 years later.

Given that these things happen in a certain order, it's much harder to say that the direction is wrong.

New paper suggests that if the government provides what people need, they will be less likely to seek help from supernatural entities. They found that better government services were related to lower religiosity among countries (Study 1) and states in the United States (Study 2). by ImNotJesus in science

[–]ImNotJesus[S] 108 points109 points  (0 children)

This finding actually fits neatly next to a small pocket of literature referred to as "compensatory control". Essentially, Aaron Kay and colleagues have found (over quite a number of studies) that when individuals feel like they lack control they seek control from either a controlling God or government. In particular, you find that the more chaotic a government is the more desirous of a controlling God people have.

In sum, it seems like individuals seek external authorities (god or government) to take care of them, especially when they find themselves in a higher need of care.

Example compensatory control paper.

Coach Kyle Souder and DPS Player Dong-jun "Rascal" Kim have been released from the Dallas Fuel: by bobberr in Competitiveoverwatch

[–]ImNotJesus 132 points133 points  (0 children)

We are almost at the point where Fuel castoffs are a better team than Fuel. xQc, Rascal, Custa is a legit core for an OWL team that would be better than Fuel.

People who follow a strict gluten-free diet are still consuming about 150 to 400 mg of gluten every day. by vilnius2013 in science

[–]ImNotJesus[M] [score hidden] stickied comment (0 children)

Welcome to /r/science!

You may see more removed comments in this thread than you are used to seeing elsewhere on reddit. On /r/science we have strict comment rules designed to keep the discussion on topic and about the posted study and related research. This means that comments that attempt to confirm/deny the research with personal anecdotes, jokes, memes, or other off-topic or low-effort comments are likely to be removed.

Because it can be frustrating to type out a comment only to have it removed or to come to a thread looking for discussion and see lots of removed comments, please take time to review our comment rules before posting.

If you're looking for a place to have a more relaxed discussion of science-related breakthroughs and news, check out our sister subreddit /r/EverythingScience.

New study finds that sexism powerfully predicted vote choice in 2016 even after controlling for authoritarianism, partisanship, and other predispositions. Using historical data they also show that 2016 was the only year in which it played a large and significant role. by ImNotJesus in science

[–]ImNotJesus[S] 11 points12 points  (0 children)

An abbreviated version of the hostile sexism subscale of the ASI from Glick and Fiske (1996) tapped gender attitudes. Subjects were asked how strongly they agreed or disagreed with the following statements: 1) Many women are actually seeking special favors, such as hiring policies that favor them over men, under the guise of asking for “equality”; 2) Most women interpret innocent remarks or acts as being sexist; 3) Feminists are not seeking for women to have more power than men (reverse-coded); and 4) Feminists are making entirely reasonable demands of men (also reverse-coded). These were collapsed into an additive scale of hostile sexism (α = .71). High scores correspond to more hostile gender attitudes.

So if you scored highly on those four questions you were also more likely to vote for Trump.