Sharon Begley
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Nov 26, 2008 01:01 PM
There is no better way to attract reports of the paranormal than to
write a story casting doubt on it, and attract them I did. Besides the
usual ghost sightings, my favorite was from a nice man in Florida who
told me about his wonderful typewriter (note: not a word
processor): he would type a few letters of a word and the machine would
fill in the rest, apparently having read his thoughts.
Make of that what you will. More interesting, to my mind, was a note from Michael Shermer of the Skeptics Society, who pointed me to his column in the December issue of Scientific American.
There, he explores what he calls “patternicity,” the tendency of the
human brain to “find meaningful patterns in meaningless noise,” as he
puts it, as shown in our tendency to “see faces in nature, interpret
window stains as human figures, hear voices in random sounds generated
by electronic devices or . . . see the Virgin Mary on the side of a
building”—or in a potato chip, as I noted in the story.
Evolution favored humans who were “most successful at finding
patterns,” Shermer writes, a process called associative learning that
“is fundamental to all animal behavior. . . . Unfortunately, we did not
evolve a Baloney Detection Network in the brain to distinguish between
true and false patterns.” Hence those Mary sightings.
Shermer cites a fascinating paper to be published in January in the journal Proceedings of the Royal Society B. In it, Kevin Foster of Harvard and Hanna Kokko of the University of Helsinki show that when it costs less to believe in a pattern or connection that isn’t
real (believing that a noise in the grass is a hungry tiger when it is
only the wind) than to fail to make a connection that is real
(ascribing the noise to the wind when it is actually a tiger) people
tend to err on the side of patternicity. If our ancestors had erred in
the other direction—“oh, that’s usually just wind, nothing to worry
about”—they would not have been our ancestors because they would have
been eliminated from the gene pool.
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