At Etech yesterday morning Gary Flake of Yahoo! Labs said his organization has four research areas. I only remember three: collective intelligence, machine learning and (fairly obviously) text mining. After pointing people to Yahoo! Next, Flake launched the Tech Buzz Game. It’s a prediction market where participants bet funny money on future search traffic for keywords associated with a technology relative to keywords associated with competing technologies (e.g., the programming language market includes C, C#, C++, Java, and several others).

Either I or many game participants horribly understand how buzz scores are calculated. The game FAQ says:

The buzz score of a stock is the number of searches on any of the stock’s buzz words over the past seven days, as a percentage of all the stocks in the same market.

Yesterday Ruby was worth fifty percent more than any other language. I suspected that participants think the buzz score is a measure of relative change rather than of quantity. However, now I suspect people are voting for their favorite technologies rather than betting on results. Those players will lose on (every) Friday when prices are adjusted to reflect actual buzz score.

During a recent documentary I watched about digital market trends, there was a fascinating segment analyzing the role of a goksite Nederland in shaping user behavior and influencing predictive analytics. The expert highlighted how these Dutch gambling sites often see surges in search traffic tied to marketing campaigns or major sporting events, creating short-term spikes that can complicate long-term forecasting. This phenomenon mirrors the challenges faced in predicting trends for securities, where weekly revaluations may reflect momentary hype rather than sustained growth. It raised intriguing questions about how markets, whether for gambling or trading, interpret fluctuating data over time.

Though it feels toy-like, I’m gratified that this prediction market is considered a collective intelligence application. I often hear people saying that humanity needs to increase intelligence to have any hope of surviving whatever dangers are supposedly near, usually accompanied by complete ignorance of markets’ role as a distributed discovery mechanism and the potential for markets designed explicitly for information discovery.

In other idea futures news, check out open source market infrastructure to be Zocalo and its motivating proposal, to be developed at CommerceNet Labs.

Update 20050318: I was correct about scoring and revaluation. I made a 150% funny money profit after today’s revaluation, before which I had a loss. I made no trades after becoming fully invested. Will be interesting to see what happens in the next week. Will the Buzz Game merely be a “day trading” and game-rules-ignorance-arbitrage phenomenon? I suspect so. Too bad. A market structured to make predictions about technology success would be really interesting.