My Faults My Own

One's ponens is another's tollens.

IN WHICH Ross Rheingans-Yoo, a sometimes-poet and else­wise a recently-graduated student of Computer Science and Math, oc­cas­ion­al­ly writes on things of int­erest.

Reading Feed (last update: April 2)

A collection of things that I was happy I read. Views expressed by linked authors are chosen because I think they're interesting, not because I think they're correct, unless indicated otherwise.


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Blog: Don't Worry About the Vase | On Automoderation -- Zvi concretizes much the the vague disease I was feeling around Automoderation, despite it being an eminently plausible approach to its design specification.


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Blog: JeffTK | Slack tool: predict -- Note that Jeff's implementation is of a market mechanism that's not budget-balanced, and rewards marginal improvements of the "last price", rather than marginal improvements of the "current best price". I suspect that these design decisions have the net effect of denoising the signal of predicter quality.

Blog: Schneier on Security | New Gmail Phishing Scam -- "The article is right; this is frighteningly good."

Blog: Marginal Revolution | The Baffling Politics

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John Nash, 1928-2015

CNN | Mathematician John Nash, wife killed in car crash

John Forbes Nash Jr., the Princeton University mathematician whose life inspired the film A Beautiful Mind, and his wife died in a car crash Saturday, according to New Jersey State Police.

Well, okay, somehow the fact that his life inspired a Hollywood film made it into the obit before the fact that he won the 1994 Nobel Prize in Economics. (Note: "Nash called the film an 'artistic' interpretation based on his life of how mental illness could evolve -- one that did not 'describe accurately' the nature of his delusions or treatment.") But in actuality, it's enormously difficult to describe the impact that this man had on the field of Game Theory, which now underlies much of economics, politics, and has even been applied to describe the strategy of penalty shootouts in soccer (where it closely predicts the strategies that top

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