"Wisdom of Crowds" Works For Individuals Too
ideonexus writes "Take a crowd of people and have them guess how many jelly beans are in a jar, and the average of their answers will be remarkably accurate. Now researchers have found the same goes for asking one person to guess about the same thing several times. Accuracy improved when the individual was given longer periods of time between guesses." The anonymous author of the Economist piece, not quoting the researchers, says the finding bolsters the "generate and test" model of creative thinking.
In related news, students were found to do far better on multiple choice tests when given an unlimited number of guesses at each question. Even students that didn't study eventually got As.
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Wisdom of crowds only works when the crowd has some information about the situation. Look at polls about Iraqi weapons of mass destruction for more details.
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Granted, the tests were done on the Price is Right.
"600 jelly beans?"
"Higher"
"900?"
"Looower...."
Another product of the RAND Corporation.
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The idea that a group guessing is more accurate than an individual guess, and if you make more than one guess the mean or average of the guesses is more accurate than a single guess?
So, in real world terms, 1000 rednecks are going to be more accurate than one Harvard graduate? (assuming the graduate in question isn't our current President) (if we were guessing the number of pickled eggs in a pickle jar, I'd have to agree... Otherwise, I'm somewhat skeptical of how well this translates beyond the estimation of things.
A positive attitude may not solve all your problems, but it will annoy enough people to make it worth the effort.
This explains why there's so much informative discussion here at slashdot. N o one knows much of anything, but if you throw enough wild assed guesses at something, one of them is bound to be right, right?
The amazing discovery they made is that when people had time to think about a question, they gave better answers. This is profound.
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Yea, that seems right. But maybe not.
Yes, a little right. No, not at all. Total bullshit. Yet also 100% right. Doorknob. Right about 30% of the time. Wait, what was the question?
Um, three weeks is plenty of time to look up such an intriguing factoid on the Internet.
I thought this was understood.
This is how you are able to catch a ball. Your brain doesn't do a physics calculation and determine where the ball will land. It guesses, watches, refines the guess, repeats, and eventually the guess is close enough so your hand is in the right spot to catch it.
I read through the first few chapters of James Surowiecki's book in the bookstore. The only thing I found was a small (statistically speaking) number of anecdotes. Nothing really well researched (perhaps there were actual studies done later on).
I would say my main gripe is that the idea is often presented in an extremely poor manner. Like the author above does with the jelly beans.
It implies that the "popular mean" can express knowledge that isn't strongly represented in the group already. I.e. Clearly people voting on what medical procedure should be done for a given set of symptoms is radically different than people voting on what they would like to be fed for breakfast and likely puts the patient in a worse position rather than a better one. Now I get that with the idea of jelly beans is the belief that more people with overestimate or underestimate than guess right and that these two sides "balance" but, to my knowledge anyway that hasn't been actually demonstrated in a statistically valid way or for that matter in a way where proper bias control was done (the first example in the book IIRC was about the weight of cattle - clearly that could be biased by the sample used - especially since it was self-selected)
This brings us to the question: "How is this useful?" It doesn't introduce us to a new concept. We already believe that the "popular mean" is a better judge of some things but not others. It doesn't give us any better idea HOW to judge which things are better judged by crowds and which do not.
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Here's an interesting little bit that was on Nova Science Now the other night explaining (in a fun way) about the Wisdom of the Crowds: http://www.youtube.com/watch?v=r-FonWBEb0o
"False hope is why we'll never run out of natural resources!" - Lewis Black
So what we've always thought was the wisdom of crowds turns out to be the wisdom of averages. That does make more sense.
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Ah Ha!! Proof! The world and the people in it are a gigantic computer, built by the greatest mice scientists working on the meaning of life! Collectively our minds hold the answer to Life, the Universe, and Everything... even if so many individual minds hold so little.... Where's my improbability engine?!?!? The Vogons are coming!
In Minsky's book "The Emotion Machine" he describes what we know about the human brain from observation and such. When one encounters a tough problem, one turns different parts of the brain on and off in an attempt to solve it. First might be a trial-and-error brain agent, then an analogy brain agent that searches memory for some similar situation and so forth. That is why there is a difference between blitz chess and tournament chess - in tournament chess, where you have several minutes to make a decision for each move, you can draw on memory, make tactical and strategical decisions and the like quicker than the snap decisions made in blitz chess. It's also why we often go to sleep working on a tough (programming etc.) problem and wake up with the answer - our "unconscious" brain put the answer together while we slept.