The contract, listed at Inkling Markets, is based on the Goddard Institute for Space Studies GLOBAL Land-Ocean Temperature Index, reported monthly.
The 2009 Global Warming prediction contract is up.
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Daily Archives: January 15, 2009
Is Chris Masse a spammer?
In response to the remark posted by the charming Bo Cowgill, I am not the author of the spamming comment referred to by David Pennock. Being a smart and investigative researcher, David Pennock understood that already, and aimed at analyzing that strange spamming process. (Others prefer wasting their time analyzing the “-flow of information”-.)
UPDATE: David Pennock has just said in a comment on his blog that the spamming comment was made from an IP address from “-New Dehli, India”- —-which is obviously not my location. So, I can now sue Bo Cowgill for defamation and collect a good bundle of $$$. 
PS: If the charming Bo Cowgill refers to my very occasional sending of mass e-mails to the registered members of my group blog, Midas Oracle .ORG, I don’-t think it should be qualified as spamming, but I am ready to listen to contrarian opinions from veteran Internet users.
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Prediction markets feed on facts and expertise.
Via Yahoo! research scientist David Pennock of Odd Head and YooPick, the dear honorable Duncan Watts:
In part because of disappointing findings such as this, an increasingly popular substitute for expert opinions are so-called “-prediction markets,”- in which individuals buy and sell contracts on various outcomes, such as football game point spreads or presidential elections. The market prices for these contracts then effectively aggregate the knowledge and judgment of the many into a single prediction, which often turns out to be more accurate than all but the best individual guesses.
But even if these markets do perform better than experts, they don’-t necessarily do a good enough job to rely on. Recently, my colleagues have started tracking the performance of one popular prediction market, at forecasting the outcome of weekly NFL games. So far, what they’-re finding is that the market predictions are better than the simple rule of always betting on the home team, but only slightly so —- which, oddly, is very similar to what Tetlock found regarding his experts. Some outcomes, in other words, and possibly the outcomes we care about the most, simply aren’-t “-predictable”- in the way we would like.
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- Prediction markets are not “-a substitute for expert opinions”-. They are a substitute for the averaged probabilistic predictions of a large group of experts polled the traditional way (by phone or by e-mail). In prediction markets, traders (who are not experts, most of the times) collect and aggregate facts and expertise at a lower cost than a poll or survey of experts.
- In the research cited by Ducan Watts, the prediction markets are slightly more accurate than the competitive forecasting mechanism. Well, that’-s something we are used to.
- What Ducan Watts doesn’-t say is that prediction markets integrate facts and expertise faster than the group of experts polled by his researching colleagues —-for the very crude reason that it takes a certain time to survey a group of experts (be it by e-mail or by phone).
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If I can count, that’-s 3 reasons why prediction markets can bring in business value:
- lower cost-
- better accuracy (relatively, and, overall)-
- velocity.
That said, it should be repeated that prediction markets feed on facts and expertise —-so the experts remain indispensable in the general forecasting process.
No facts (e.g., political polls) –->- No prediction markets.
No experts (e.g., NFL prognosticators) –->- No prediction markets.
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