Prior Analytics
9 July 2010, 19:23 UTCIncoherent Prediction Markets?
I have known about prediction markets for some time, and find botboth the theoretical arguments and the evidence convincing. But only today did I register for one and look around. I found something odd.
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22 June 2010, 2:15 UTCWho Knows Best?
Ann Nicholson just pointed me to an excellent discussion of two approaches to behavioral economics: nudge vs. regulate.
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22 June 2010, 1:13 UTCEmacs Calendar & pdfLaTeX
How to print emacs calendar landscape using pdfLaTeX.
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13 April 2010, 1:12 UTCRiding the E+ Sun Ray EZ Recumbent
6 April 2010, 18:46 UTCPerformance-Weighted Opinions
27 March 2010, 1:00 UTCYudkowsky on Priors
2 February 2010, 19:28 UTCFundamental Law
14 January 2010, 2:39 UTCPhoto in The Fairest
19 November 2009, 21:47 UTCProbability Words
6 November 2009, 15:12 UTCExplosives Divining Rod
6 November 2009, 10:58 UTCConsistency
31 October 2009, 0:57 UTCPHIL 721 Advanced Seminar: Causation
22 October 2009, 3:29 UTCBNs for Intelligence Analysis
21 October 2009, 23:59 UTCBNs for Initiative Assessment
6 October 2009, 13:33 UTCNetbooks vs Thinkpad X40
14 September 2009, 19:12 UTCpasswd:
13 August 2009, 0:37 UTCPay Too Much For Food & Power
6 November 2008, 16:51 UTCGelman on the Election
9 October 2008, 3:32 UTCRail vs. Bus
5 August 2008, 12:12 UTCBicycle Helmets & Pedestrian Casualties
9 July 2008, 14:58 UTCReston to GMU Bike Route -- Updated
1 July 2008, 21:45 UTCCorrelation & Causation
18 June 2008, 20:38 UTCThe Crowd Within
16 June 2008, 19:40 UTCAudiophiles, Significance Tests, Greenspun's Tenth Rule
10 June 2008, 13:27 UTCDemocracy
13 March 2008, 0:24 UTCKrugman on Interstellar Trade
6 March 2008, 1:33 UTCScience & Magic
29 November 2007, 1:58 UTCFixed Links
10 October 2007, 16:41 UTCAviation collision experiments
22 September 2007, 14:52 UTCPay for free software
A great little post on Decision Science News.
A gem that packs lots of great quips together.
1. Greenspun's finding that people can tell high-quality audio cables from low-quality ones, but prefer high-quality ones only about 15 times out of 28. (See recent amusing post by njh, and coda.
2. To analyze his results, Greenspun rederived stats tests because "status books are virtually impossible to understand" and "I was able to explain what I was doing using simple probability laws that most of the readers would have understood." Similar reactions are common to the nice book Bayesian Statistics. Math people prefer probability.
3. Snarky programming quips.
Thanks to Statistical Modeling from whence I found it.