Is Psychometric g a Myth?
- "As an online discussion about IQ or general intelligence grows longer, the probability of someone linking to statistician Cosma Shalizi's essay g, a Statistical Myth
approaches 1. Usually the link is accompanied by an assertion to the effect that Shalizi offers a definitive refutation of the concept of general mental ability, or psychometric g
." [more inside]
posted by kliuless
on Apr 11, 2013 -
The Nature of Computation
- Intellects Vast and Warm and Sympathetic
: "I hand you a network or graph, and ask whether there is a path through the network that crosses each edge exactly once, returning to its starting point. (That is, I ask whether there is a 'Eulerian' cycle.) Then I hand you another network, and ask whether there is a path which visits each node exactly once. (That is, I ask whether there is a 'Hamiltonian' cycle.) How hard is it to answer me?" (via
) [more inside]
posted by kliuless
on Dec 1, 2012 -
Tails of the Unexpected:
"Normality has been an accepted wisdom in economics and finance for a century or more. Yet in real-world systems, nothing could be less normal than normality. Tails should not be unexpected, for they are the rule." An eminently human-readable explanation of why normal models fail to describe the uncertainties of our abnormal world. [more inside]
posted by ecmendenhall
on Jun 9, 2012 -
An "Exciting Guide to Probability Distributions" from the University of Oxford: part 1
, part 2
. (Two links to PDFs)
posted by JoeXIII007
on Dec 15, 2011 -
"So, if the probability of finding an egg with two yolks is 1/1000 - then to find the likelihood of discovering four in a row you simply multiply the probabilities together four times. One thousand to the power of four brings us to the grand total of one trillion...
If true that would mean the event that occurred in Jen's kitchen was a trillion-to-one event. But is it true? No is the short answer."
posted by Petrot
on Dec 10, 2011 -
Measure-theoretic probability: Why it should be learnt and how to get started.
The clickable chart of distribution relationships.
Just two of the interesting and informative probability resources I've learned about, along with countless other tidbits of information, from statistician John D. Cook
and his probability fact-of-the-day Twitter feed ProbFact
. John also has daily tip and fact Twitter feeds for Windows keyboard shortcuts
, regular expressions
, TeX and LaTeX
, algebra and number theory
, topology and geometry
, real and complex analysis
, and beginning tomorrow, computer science
posted by grouse
on Dec 5, 2010 -
THE FOURTH QUADRANT: A MAP OF THE LIMITS OF STATISTICS
by Nassim Nicholas Taleb. "In the following Edge original essay, Taleb continues his examination of Black Swans
, the highly improbable and unpredictable events that have massive impact. He claims that those who are putting society at risk are "no true statisticians", merely people using statistics either without understanding them, or in a self-serving manner.
posted by vronsky
on Sep 16, 2008 -
Experts can suck at predicting the future.
Their intuitive sense of probability is no more developed than lay-people's. A classic experiment is to present two indistinguishable choices are presented, but with unequal probability of reward. Humans look for complex patterns, which don't exist, and preform quite poorly. Rats quickly recognize the choice with higher probability, and preform optimally.
posted by jeffburdges
on Dec 11, 2005 -
Incredible -- but true coincidences
are fascinating, and pleasing, to the psyche. I tend to agree with John Littlewood (a University of Cambridge mathematician) that "...in the course of any normal person's life, miracles happen at a rate of roughly one per month." In other words, statistically speaking, unusual coincidences are to be expected in a world teeming with billions of humans. Still, I find such coincidences stangely inspiring. More can be found here
posted by ember
on Jul 7, 2005 -
The Logic of Diversity
"A new book, The Wisdom of Crowds
] by The New Yorker
columnist James Surowiecki, has recently popularized the idea that groups can, in some ways, be smarter than their members, which is superficially similar to Page's results
. While Surowiecki gives many examples of what one might call collective cognition, where groups out-perform isolated individuals, he really has only one explanation for this phenomenon, based on one of his examples: jelly beans [...
] averaging together many independent, unbiased guesses gives a result that is probably closer to the truth than any one guess. While true — it's the central limit theorem
of statistics — it's far from being the only way in which diversity
can be beneficial in problem solving." (Three-Toed Sloth)
posted by kliuless
on Jun 20, 2005 -
Expect a miracle? Freeman Dyson
on Littlewood's Law of Miracles: "...the total number of events that happen to us is about thirty thousand per day, or about a million per month. ...The chance of a miracle is about one per million events. Therefore we should expect about one miracle to happen, on the average, every month." From his review of book debunking the paranormal (whose views he isn't entirely willing to accept).
Via Marginal Revolution
posted by Jos Bleau
on Jul 14, 2004 -