24 DEC 2013 by ideonexus

 The Pareto Distribution

The Pareto distribution shows up in a remarkably wide array of complex systems. Together, “the” and “of” account for 10 percent of all words used in English. The most volatile day in the history of a stock market will typically be twice as volatile as that of the second-most volatile and ten times the tenth-most. Tag frequency on Flickr photos obeys a Pareto distribution, as does the magnitude of earthquakes, the popularity of books, the size of asteroids, and the social connectedness...
Folksonomies: statistics
Folksonomies: statistics
  1  notes

Clay Shirky on what is also known as the "long-tail effect" or "90% of everything is crap" effect.

26 JAN 2013 by ideonexus

 Sturgeon's Law

I repeat Sturgeon’s Revelation, which was wrung out of me after twenty years of wearying defense of science fiction against attacks of people who used the worst examples of the field for ammunition, and whose conclusion was that ninety percent of SF is crud.[1] Using the same standards that categorize 90% of science fiction as trash, crud, or crap, it can be argued that 90% of film, literature, consumer goods, etc. are crap. In other words, the claim (or fact) that 90% of science fiction is...
Folksonomies: art media law mass media
Folksonomies: art media law mass media
  1  notes

90% of everything is crap, be it film, literature, music, etc.

13 APR 2012 by ideonexus

 How Scientists Differ from Clerics

When more evidence is garnered, whether through the analysis of additional characters, through the discovery of new specimens, or by pointing out errors and problems with the original data sets, new trees can be calculated. If these new trees better explain the data (taking fewer evolutionary transformations), they supplant the previous trees. You might not always like what comes out, but you have to accept it. Any real systematist (or scientist in general) has to be ready to heave all that...
Folksonomies: religion evidence
Folksonomies: religion evidence
  1  notes

They must discard incorrect beliefs when facing new evidence.