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4. Tat's ain't sheit.

http://www.wimp.com/foamtorch/

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2. Fancy that, the Indians going to university have noticed that they are a small elite:

"most of its subjects are college students. College students in more unequal countries, the authors point out, are probably less average than college students in more equal countries. Future studies will have to draw on data taken from a wider swath of the population. "

Wasn't there some research a while back finding that overconfidence was a survival trait or something like that. And how did they identify causality? Isn't it possible that places with greater inequality have that because the people in them have a tendency to shoot for the stars rather than stay in their place, and while most don't make it, some do in a big way?

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#4 She's not that great looking - at least from that twitter picture

Cute enough, but clearly all talk. If her criteria were based on Subject GREs it would be more helpful for the scientific mission.

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"Alena is raising the status of scientists"

raising?

+1

(a) Tattoos are conformist, and (b) her offer isn't exactly raising her status.

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@2
And in America, our hot late teens and early twenties girls are top in class on a worldwide basis. However, we also have an ample supply of land whales. Perhaps that explains the self-deception amongst aging American women and the aforementioned whales that their experience and "curves," respectively, trump youth and thinness.

Miley, your response makes me think that women are driving the self-deception results. I didn't see anything in the summary that points to gender differences. Moreover, I've seen work in financial literacy and investing that men tend to overconfident in their skills (also seems like self-deception to me) relative to women. But on your narrow physical metric...don't women tend to have lower self-esteems than men? That seems somewhat counter to strong self-deception. (Sure some say, "big is beautiful", but most of us know past a certain point "big" has downsides...equally true for men and women) But still you sound a little harsh. Life is a complex optimization problem. We are deceiving ourselves if we think we can be all things to all people at all times.

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#2: " When they compared that data to other factors about those countries as a whole -- including values like individualism and collectivism -- they found that only one factor correlated with the degree of bias: economic inequality."

Data mining.

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