Sponsorised links
October 2009
Photocrati - Affiliate Program
September 2009
Textual Log Analysis using Python « Isotoma Blog
Now, having logs of the channel reaching many megabytes, I was curious as to the text statistics produced by this channel, who has what reading age, and how much they’ve talked in comparison to other people.
Twitoaster
Google Code: Web Authoring Statistics
Sponsorised links
August 2009
A Lesson In Timing Attacks (or, Don't use MessageDigest.isEquals) | codahale.com
Timing attacks are pretty horrible from the perspective of someone trying to write a secure cryptosystem. They work against a programmer’s best instincts—don’t do extra work—to give an attacker with access to a Statistics 101 textbook a good solid grip on your application’s guts.
July 2009
TraceWatch
2009 Facebook Demographics and Statistics Report
osmos - Google Code
June 2009
Fedora Commons 3.0 Versus DSpace 1.5 : Selecting an Enterprise-Grade Repository System for FAO of the United Nations - Georgia Tech's Institutional Repository
April 2009
Facebook Statistics, Demographics, Reports, and News – CheckFacebook
TweetStats :: Graphin' Your Stats
March 2009
Twitterholic.com
Shadow Government Statistics - Home Page
The World of 100 : Toby Ng Design
February 2009
Statistics on reusing request headers in persistent connections from Koen Holtman on 1995-10-30 (ietf-http-wg-old@w3.org from September to December 1995)
Old surveyTo make the statistics below, I took a set of proxy<->server HTTP transactions between the www.win.tue.nl proxy and off-campus servers (18 days worth of traffic, approximately 150Mb in 14501 HTTP transactions)
