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What makes one appear smarter and more sociable?

255 点作者 bvi大约 13 年前

35 条评论

pflats大约 13 年前
When you don't start your y-axis at 0, you skew the interpretation of your data. At best, this is a significant mistake, and at worst, this is intentionally misleading.<p>Take this graph:<p><a href="http://i.imgur.com/bBzCK.png" rel="nofollow">http://i.imgur.com/bBzCK.png</a><p>It looks like women are rated as more than twice as smart as men. Huge difference.<p>Except until you run the numbers. Women are rated about 4.3% "smarter" than men. Not twice as smart, like the graph implies. Not 20% smarter. Not even 5%.<p>Please, pay attention to your graphs. They're great tools, but they can mislead as much as they can help elucidate.
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boredguy8大约 13 年前
Inter-rater reliability is super important for tests like this. <a href="http://en.wikipedia.org/wiki/Inter-rater_reliability" rel="nofollow">http://en.wikipedia.org/wiki/Inter-rater_reliability</a> The gist is: you can't simply mark one person as "asian" and assume that categorization is correct. In that respect, the data would reveal more about the person sorting the photos than it would reveal about the perceptions of those that are rating the photos.<p>Second, there is a huge problem with causality here. So for instance, the author writes: "Be Asian if you want to appear smart; Latino if you want to appear extroverted." The problem is that there is a methodological flaw. On the first photo I saw on judge.me, I was presented with this image: <a href="http://images.judg.me/82e7fcbd988dbdcac0d00bd53fb93e96.jpg" rel="nofollow">http://images.judg.me/82e7fcbd988dbdcac0d00bd53fb93e96.jpg</a> This would appear to me to be a latino or hispanic male at a party. I'm highly inclined to rate them highly on the extrovert scale: they're at a party. But that doesn't indicate stereotypically latino or hispanic features indicate extroversion. It could be that people with stereotypically latino or hispanic features were more likely to upload photos <i>in which the image portrayed</i> a more stereotypically extroverted activity.<p>Third, it appears that users can upload a photo to the site <i>and</i> see their feedback from votes. It seems highly possible that users self-select a photo that will best affirm the image of themselves they wish to cultivate. In that respect, there's both a huge confirmation bias and huge self-selection bias. If I want to think of myself as an academic, I'll upload a picture of me at my desk studying and watch the "intellectual" ratings pour in. Then I can feel assured that other people perceive me the way I want to be perceived. Additionally, if one wants to conform to social expectations (and things like Asch's line test <a href="http://en.wikipedia.org/wiki/Asch_conformity_experiments" rel="nofollow">http://en.wikipedia.org/wiki/Asch_conformity_experiments</a> indicate conformity is common), this data might really be nothing more than showing the degree to which people post photos affirming their conformity to their social expectations (i.e. 'smart' ethnicities posting 'smart-looking' photos) and be saying nothing at all about how people actually perceive ethic cues.<p>There are huge methodological concerns for this 'study'. Instead, the revelation of this data might <i>actually</i> be the insight that "pictures of yourself at social events makes you look more social." Taking much of anything at all away from this data set would be rather unwise.
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pessimizer大约 13 年前
The problem with this blog is so obvious that I'm suprised that I haven't seen it in the comments yet (I probably missed it), but you can't use a random selection of photographs for this if you want to expect gross ratings to mean something. You would have to normalise each trait that you were comparing against every other trait. Otherwise, when you were trying to isolate how smart people judge black people to be, and black people were wearing caps a quarter more ofter than the average person, you would think you were getting interesting data for blacks when really you were getting interesting data for caps.<p>If you didn't plan to use gross ratings like this blog did (I think), then I'm pretty sure that you could do a post-normalization by analyzing the frequencies in the sample and determining how much you'd expect each of the traits to affect the rating for every other trait, then trying to determine the if the deviations from that were statistically significant in a universe that contained only those traits.<p>Honestly - just take the original data and assign every trait a 5 rating, then pick a random trait and pull that value up or down, then check and see what the gross ratings now say about the other traits.<p>I apoligize if the methodology was more complicated than it looks, and I hope there's a link to the spreadsheet of the original distribution somewhere in the blog that I missed, so someone could make sense of this data.
ori_b大约 13 年前
I have no idea what the standard deviation on this is. Lots of the numbers look close enough to be noise. Others in this thread have pointed out other missing information that makes this a fairly poor survey.
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kvh大约 13 年前
What a tragic waste of data and time. Not one mention of confidence intervals (are _any_ of these differences statistically significant??), selection bias (who was more likely to submit photos, and why did they choose a specific photo??), or sampling errors (who rated the attributes, and how consistent were they?). The OK Cupid blog posts are a great source for similar (but statistically sound) studies.
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larrys大约 13 年前
"thousands of photos have been uploaded and judged by users since."<p>Who are the users that are <i>judging</i>? What is the breakdown of those users (age,sex,location,education etc.)? What can possibly be inferred from this without knowing that info?
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Mz大约 13 年前
I read just enough to decide it isn't really worth reading. I love the articles OK Cupid does with hard statistical data backing up their inferences about similar social stuff. This does not strike me as of that ilk.<p>I am disappointed. I was recently thinking about how people are judged based on looks (and blogged about it) so was hoping for/looking forward to something meatier.
nates大约 13 年前
Your graphs appear to be very misleading. There is little to be learned from the data. Learn some Data analysis and learn how to not provide bias via graphs.
Danieru大约 13 年前
I think they drove too far into the details considering their sample size.<p>It is an interesting study so I hope they update the post once they have been in business longer.
simonster大约 13 年前
These graphs could use some error bars.
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scotty79大约 13 年前
Why people assume that parameters are independent?<p>If most black woman that sent their photos are fat and people don't rate fat woman high then the black women will be rated low not because of the race but because being black woman and being fat woman is correlated in the sample data.<p>Owner of such sites have large sample of some data and they assume that large equals representative and they go on slicing their data by different parameters not controlling for anything and making statements that are only technically true with respect to their data but strongly misleading in many ways.
lunchbox大约 13 年前
The authors conflate "extroversion" and "social skills". For example, based on his pic I'd rate this guy high on extroversion but low on social skills:<p><a href="http://madconfessionsofaman.files.wordpress.com/2011/05/douchebags2.jpg" rel="nofollow">http://madconfessionsofaman.files.wordpress.com/2011/05/douc...</a><p>Similarly, being introverted doesn't mean you have low social skills.
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drewwwwww大约 13 年前
the y axes vary a great deal. there's no information on the distribution of ratings for each class. really difficult to tell if there's anything meaningful or even interesting here at all.
tsumnia大约 13 年前
Awesome analysis, though I agree they results look like error bars.<p>I know you mention a random sample of 1000 images, but what were your overall metrics? Did you have a good data set across the board (ie as many Hispanic females as Caucasian males)? What kind of advertising did you do as well?<p>Reason I ask is I've been working on trying build a face-morpher based on different criteria (make you look 80, fat, African) and these are some of the questions I've got bouncing in my head about how to collect the data.
kami8845大约 13 年前
Coral Cache to the rescue<p><a href="http://judg.me.nyud.net/blog/judgment-day/" rel="nofollow">http://judg.me.nyud.net/blog/judgment-day/</a>
dmvaldman大约 13 年前
Error bars!<p>Law of large numbers says that your error should scale like 1/sqrt(N) where N is the sample size. In this case N = 1000, so 1/sqrt(N) ~ 3%<p>This measures 1 STD (68% of values lie in an interval of 3% of reported value). To be on the safe side you should take 2 or 3 STDs for the error bars. This already nullifies most of the results!
willpearse大约 13 年前
I'm sorry, but there's no 'unsexy data crunching' here - just a series of ratios compared against one another. There is a whole body of statistical literature about how to do anything of this kind, and they haven't done any of it. I'd quite happily believe that none of these differences have any kind of significance in the statistical sense (i.e., it's due to background variation). But then again, I wasn't given any information to know whether they've even looked. So I can't say...
MichailP大约 13 年前
Prof. Dan Ariely mentioned Hot or Not website in one of his books. He used the website to get his attractiveness score and other interesting data. The book is a great read, and analysis of how people <i>percieve</i> you by the looks. As for the website, I think that judg.me looks very promising as a source of social data, which is otherwise very difficult to obtain.
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B-Con大约 13 年前
These people have a wrong definition of extroversion.<p>The actual site rates extroversion vs introversion, but the analysis here mistakenly uses the term social scale, implying that extroversion and sociability are interchangeable. They are correlated, but by absolutely no means are they interchangeable. This analysis should have stuck with the original vocabulary more consistently.
jcc80大约 13 年前
For someone in his early 30s whose hair is starting to thin out the results are interesting, though expected. I won't lose many social points but will pick up a good amount of perceived smartness when the baldness battle is finally lost. And to throw the "I'm a fun-loving extrovert" vibe out there for special occasions, I just throw on some shades.
craigmoore大约 13 年前
Long live Hot or Not! I don't want to like this sort of site. I'm ashamed that I read the whole post (and found it interesting).
geraldfong大约 13 年前
This is cool data, but it would be best if you could release numbers about the distribution more than just the average, ie standard deviation, quartile, medians.<p>It is hard to determine significance from these graphs, especially as pflats commented that the y-axis are skewed.
inDesperateZone大约 13 年前
Okay, that's it, I'm cutting of my hair. Everyone seems to hate long hair on man.<p>But I wonder how many long haired man were in the sample. They are quite rare and a few ponytail grad students might lower the score.
Kiro大约 13 年前
The comments here are depressing. Why can't you just enjoy it for what it is? No-one believes this is pioneering research so you don't need to analyze it as such.
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blt大约 13 年前
here is a 2D scatter plot of the smart/social ratings: <a href="https://docs.google.com/spreadsheet/oimg?key=0AmoarnvJ2W0ndFh5aTF2Ti1Va2VKUnNDNTE0Vm1WX1E&#38;oid=2&#38;zx=t13973iv1gp2%22" rel="nofollow">https://docs.google.com/spreadsheet/oimg?key=0AmoarnvJ2W0ndF...</a> . It is still very misleading without axes going to zero, but at least you can see the purported differences clearly.
sparkie大约 13 年前
I'm confused as to what Perceived Smartness `div` Extroversion is meant to represent. Or is it implying that extroverts are perceived as smart?
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MarlonPro大约 13 年前
Be asian and bald = smart! It ain't that simple!
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antsam大约 13 年前
I guess all future photos of me will have to be full body shots, with five o'clock shadow, outside, smiling, and died gray hair.
AngryParsley大约 13 年前
According to this, the smartest most sociable people should be smiling bald indian women with glasses and 5 o'clock shadows.
roarktoohey大约 13 年前
What would be interesting to see is the likely decline in intelligence as the user base increases.
mc32大约 13 年前
I had to stop reading after the following entered their glossary:<p>sistas, ladies.<p>Sorry but that is a turn-off to me.
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mahrain大约 13 年前
So, please mark what data is statistically significant at a 95% level?
hoop大约 13 年前
Oh good, just what the Internet needed: two-axis hot-or-not
superslug大约 13 年前
Nothing says sociable like an iced grill ..
carguy1983大约 13 年前
So in other words (for men) to get the most responses from dating sites, be happy and white and wear sunglasses in an outdoor setting with a 5 o'clock shadow and show your fit body?<p>In other words be a rugged, outdoorsy, all-american white guy.<p>Pretty sure this is only confirming what was already common knowledge.