Slashdot Mirror
Web Geniuses Or Web Dimwits?
ScribeCity writes "The Washington Post has a provocative piece about online experiments at identifying experts. One wonders when someone will come up with a truly effective formula for measuring human intelligence — or take a stab at doing so — that exploits all the stuff people are publishing online." From the article: "This wisdom of the crowd could be outsmarted by what Michael Arrington, editor of the TechCrunch blog, recently dubbed the 'wisdom of the few.' Sites like PicksPal rely on input from the masses chiefly as a venue for auditioning prospective experts, on the theory that these virtuosos could provide even more accurate information and predictions than the crowd. 'If you figure out which ones did the best and get rid of the ones who have no idea, you'd do even better. Distill it down to the people who really know,' Arrington said."
Just get a chimp to throw darts at the wall...
In order to effectively determine the rate of experts vs. everyone else, you could simply scan through all previous Slashdot posts (while removing those prefaced by IANAL) and easily determine those that are experts.
;)
Make sure you are browsing at -1, *those* people are the real experts
One wonders when someone will come up with a truly effective formula for measuring human intelligence
It won't happen, not because it's not possible, but because some group or another will have a lower mean score, and the cries of racism, sexism, ageism, redbluestateism, culturalism, OSism, haircolorism, footsizeism, dicksizeism, or whateverism will drown out the truth.
You know... the way it is right now.
Make a group based moderation system, where you moderate in groups.
Step1: Lets say Democrat/Republican. When a Rep mods something up, all other Reps see it modded up. If a Dem mods something down, no other Reps see it modded down.
Step2: Identify posters who say stuff that gets modded up past a certain point. Lets say you get a point for the top 10 posts of each day. Then the posters with the most points are dubbed experts in their field.
Its simple, and I'm suprised no one has done it before. It's like Digg in some ways, but vastly superior as groups don't bicker over what they declare as news, and it identifies experts.... maybe even political candidates.
God spoke to me.
... you sound like you could be an expert.
sigs, as if you care.
1) Read old threads at +5, new threads at +2
2) If a person has a lot of insightful/informative posts, check their posting history
3) If they are consistently +3/4/5 informative/insightful, add them as a friend
4) add points to friend's posts so they start out +2.
OK, seriously, I don't do that but if I did, I'd see posts of "wise ones" and ignore posts from those that don't make the cut.
Knowledge is how to play a game, intelligence is how to win, wisdom is knowing what game to play.
My mother is a professor of education at a college in California and this is something that educators have been talking about for a long while. Google for "multiple intelligences" for a lot more information, but basically there's a theory that says that "intelligence" can be divided up into a number of categories and that people tend to excell in one or two of these areas, but few are outstanding in all of them.
The standard breakdown is something like:
Atheletes tend to excell at Spatial and Kinesthetic, while the stereotypical geek is strongest in Logical-mathematical and weakest in Interpersonal.
I'm not sure I completely agree that this is the end-all-be-all for understanding intelligence, but it does provide an interesting look into ways to classify people who might not be "book smart." For instance, a terrific ballerina might not have excellent Interpersonal or Linguistic intelligence, but she certainly has some special "intelligence" that allows her to excell in an area where I would certainly be an abject failure.I encourage anyone interested in this idea of multiple intelligences to poke around and do some research. Again, it may not be the final answer, but it provides an interesting framework for thinking about the topic.
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This sounds like the old scam. Pick 1000 people. On day 1, send 500 of them a prediction that stock A will go up and send the other half a prediction that the stock will go down.
On day 2, the stock either went up or down. Either way, you made a correct prediction to 500 people. Split the 500 and send two more predictions on an all new stock.
Keep repeating this. On the fifth day, you'll have 75 people who have seen you make 5 perfect predictions in a row. Now ask each of them for $10,000 to invest in your next prediction...
Just because one person happens to have hit the mean each time doesn't mean he's got "the knack". Statistically, there's sure to be someone whose guesses approach the mean. But that doesn't mean that their next prediction is any more likely to be accurate.
Stick with the aggregated mass knowledge.
-- Don't Tase me, bro!