Rock-Paper-Scissors

People are bad at being random, i.e. unpredictable. Randomness is a depletable resource. I'd like to look at Machine Learning algorithms that learn to exploit such patterns.

This one is intelligent. Still, I've been managing to maintain a small lead, which is close to the best I can expect if I beat their expectations about patterns the average person would exhibit. ("You have won 56, lost 48, and tied 46 games". What is the probability of such a favourable outcome for if this were random?). One known bias is that people think they are being random when they avoid repeating the same choice. The machine will try to take advantage of this.

This one did not learn to exploit some predictable players.

GusWik: new logo; short URL works!

Advantages:
* illustrates the idea of a multi-level semantic network, in a dynamic process of refinement (scissors)

Disadvantages:
* too many details, not catchy

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After a long night, I managed to remove "/index.php" from my article URLs. mod_rewrite is damn ugly!

geek health

People who identify themselves as geeks/nerds seem prone to:
* obesity
* scrawniness
* wearing glasses
* social isolation, loneliness, insecurity
* anxiety

It's not clear which way the causations go. Please speculate.

I'm looking for explanations involving child development, peer group dynamics, innate tendencies, autistic traits, etc.