02 SEP 2016 by ideonexus

 Ikigai and Mortality

Among the 43,391 subjects enrolled, 25,596 (59.0%) indicated that they found a sense of ikigai, 15,782 (36.4%) indicated they were uncertain, and 2013 (4.6%) indicated they did not find a sense of ikigai. As compared with those who found a sense of ikigai, those who did not were more likely to be unmarried, unemployed, have a lower educational level, have bad or poor self-rated health, have a high level of perceived mental stress, have severe or moderate bodily pain, have limitation of physic...
Folksonomies: mortality longevity
Folksonomies: mortality longevity
  1  notes
 
28 MAY 2015 by ideonexus

 How Scammers Distort Science

So why should you care? People who are desperate for reliable information face a bewildering array of diet guidance—salt is bad, salt is good, protein is good, protein is bad, fat is bad, fat is good—that changes like the weather. But science will figure it out, right? Now that we’re calling obesity an epidemic, funding will flow to the best scientists and all of this noise will die down, leaving us with clear answers to the causes and treatments. Or maybe not. Even the well-funded, serious r...
  1  notes

A case study where a scientist fooled the media, muddying the waters of nutritional information.

03 APR 2015 by ideonexus

 Quantity of Time Spent with Children has No Impact on Out...

Does the amount of time children spend with their mothers matter for children’s behavioral, emotional, and academic outcomes? The results from ordinary least squares regression models for the child sample are shown in Table 2. There were no statistically significant associations between maternal time of either type and any child outcome. In contrast, social status resources, as measured by mother’s education, family income, and family structure, was related to some outcomes. Mother’s educatio...
Folksonomies: parenting
Folksonomies: parenting
  1  notes

More important are the mother's education level and family financial status.

03 MAR 2014 by ideonexus

 Correlation != Causation; However, It is Often All We Have

> correlation doesn't mean causation. As a statistician, I guess I should be happy that more people are aware of this. But I also think too many people are taking "correlation != causation" superficially. I mean, almost all of science is based on significant correlational findings, especially when the traditional way to prove causation (i.e. via randomized trial) is unethical (i.e. we can't randomly assign people to be insured vs. uninsured). Along these lines, I often find people who sa...
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Examples of when correlation should be taken seriously.

28 JUN 2013 by ideonexus

 The Bilingual Advantage in Computer Programmers

Like bilinguals, expert computer programmers successfully manage two or more separate lexicons, grammars and divergent concepts, avoiding inadvertent transfer between the two. Numerous studies of novice programmers indicate that they struggle to do achieve this division; transfer from natural language creates bugs (e.g. Soloway and Spohrer, 1989; Witschital, 1995). The present study therefore considers whether the “bilingual advantage” in executive control is found in computer programmers. [...
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Manifests in tasks involving executive function, but not in other bilingual tasks. More research needed.