Are Your Facebook Friends Stressing You Out? (Yes.)
The stress comes, Marder theorizes, from the kind of personal versioning that is so common in analog life — the fact that you (probably) behave slightly differently when you’re with your mom than you do when you’re with your boss, or with your boyfriend, or with your dentist. And it comes, even more specifically, from the social nuance of that versioning behavior colliding with the blunt social platform that is The Facebook. Behaviors like swearing and drinking and smoking, the study suggests, are behaviors that you (might) do with friends — but not (probably) with your boss. And, more subtly, language that you might use with your friends — in-jokes, slang, references to Breaking Bad — probably won’t track when you’re not with your friends. The awareness of that discrepancy — Facebook’s tendency to disseminate even highly targeted social interactions — leads to stress.
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![Pareidolia: A Bizarre Bug of the Human Mind Emerges in Computers
This rocky hill in Ebihens, France, is, well, just that — a rocky hill in Ebihens, France. But to pretty much any human observer, the assemblage of meaningless angles takes on a familiar appearance, that of a human face in profile. It has a distinct nose, eyes, lips, and chin, capped off with some foliage as hair. From the perspective pictured above, it’s impossible not to see a man in a mountain.
This is an example of a phenomenon known as pareidolia, the human tendency to read significance into random or vague stimuli (both visual and auditory). […]
Humans are not alone in their quest to “see” human faces in the sea of visual cues that surrounds them. For decades, scientists have been training computers to do the same. And, like humans, computers display pareidolia.
Though there is something basely human about the tendency to see faces in the non-human shapes around us, to anthropomorphize odd pieces of hardware or rocks on a hillside, that computers see humans where there are none should not be all too surprising. Facial-recognition software is a tough technological feat, and in the process, computers are bound to come up with false positives. Does this make the computers more like us? Have they taken on our most human cognitive errors? In a superficial sense, yes, computers do make errors that are similar to pareidolia, and this seems very human. But as you look into these computer false-positives a bit more, you find a different story.
Read more. [Image: Wikimedia Commons]](http://24.media.tumblr.com/tumblr_m8e3z1gzEY1qcokc4o1_1280.jpg)
![Wikipedia and the Shifting Definition of ‘Expert’
Part of the beauty of Wikipedia is the hope that through its openness and its anonymity it could democratize the process of how knowledge gets built and organized. Last year The Awl published an essay “Wikipedia and the Death of the Expert,” in which Maria Bustillos argued, “Wikipedia, along with other crowd-sourced resources, is wreaking a certain amount of McLuhanesque havoc on conventional notions of ‘authority,’ ‘authorship,’ and even ‘knowledge.’ ” Online, the crowd was knocking the individual off its throne as the arbiter of information. As Bustillos quoted Clay Shirky, “On Wikipedia ‘the author’ is distributed, and this fact is indigestible to current models of thinking.”
But, of course, this kind of collaboration doesn’t itself imply the absence of expertise. Experts can, after all, collaborate together. And Wikipedia certainly benefits from academics with specialized knowledge developing and patrolling articles they care about. (This is particularly true when measured in terms of Wikipedia’s breadth — it’s hard to imagine many of the extremely technical scientific articles existing at all without the input of scientists who made it their business to fill out the encyclopedia’s periphery.)
So “experts” in the traditional sense (e.g. academic pedigrees) do still matter in this collaborative environment. But a new study from researchers at Stanford University and Yahoo Research points to a complementary phenomenon: The definition of what makes someone an expert is changing. They search for expertise in Wikipedia’s pages, and they find it, but what they’re looking for — what they call expertise — uses different signals to project itself. Expertise, to these researchers, isn’t who a writer is but what a writer knows, as measured by what they read online.
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![Why Men Love Guns: Holding One Makes Them Look Taller and More Muscular
University of California, Los Angeles, anthropologists led by Daniel Fessler asked 628 online respondents to guess the height of four men based solely on photographs of their hands holding either a caulk, electric drill, large saw, or handgun. They also showed photos of progressively taller and pictures of increasingly more muscular men, and asked the subjects to estimate which images came closest to the probable size and strength of the hand model. […]
The participants judged the men who were holding a gun to be taller and more muscular than the men with the other objects, even though the hands of the models were all the same size. On average, they judged pistol-packers to be 17 percent bigger and stronger than the ones holding the sealant, who were considered the wimpiest of the bunch. […]
We may have an unconscious mental mechanism that projects our assessment of a potential threat in terms of the size and strength of our adversary. “There’s nothing about the knowledge that gun powder makes lead bullets fly through the air at damage-causing speeds that should make you think that a gun-bearer is bigger or stronger, yet you do,” says Fessler in a statement. “Danger really does loom large — in our minds.”
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![Is Wall Street Full of Psychopaths?
While the common perception of a psychopath is an axe-wielding serial killer, that is not usually the case. Psychopaths are not all violent criminals (though some are). Psychopathy is a psychological condition based on well-established diagnostic criteria, including superficial charm, conning, and manipulative behavior, lack of empathy and remorse, and a willingness to take risks.
Determining whether a person is a psychopath is usually done by using a test like the Psychopathy Checklist - Revised (PCL-R), developed by Robert Hare and his colleagues. People are rated on a scale of 0 to 40 points; presumably, everyone scores a few points, and true psychopaths score in the top 25 percent of the scale. Using such formal diagnostic criteria, researchers have estimated that about three million Americans (one percent of the population) are psychopaths. Based on this statistic alone, there are psychopaths on Wall Street.
And, it would make sense that a disproportionate number might work on Wall Street. Certain maladaptive personality traits (a lack of empathy, an increased willingness to take risks) might be considered desirable in some settings (a cautious person overly concerned with the feelings of others might not be the best fit at an investment firm).
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