Mark Newton wrote: > The good news is that anti-spam software can be "trained" to delete > it before you ever get to see it (google for Baysian Email Filters - > the article by Paul Graham is a must-read). > > The bad news is that not everyone uses a Baysian filter.
Strange that this topic should rare itself on the list only a few days after I got my August 2003 IEEE Spectrum magazine. There's a whole 5 pages devoted to "Saving Private E-mail" (a word play on Saving Private Ryan). Fascinating reading if you're an IEEE reader. Also a good article on wind power generation, which Mike Borgelt and others referred to not so long ago. It's available online at http://www.spectrum.ieee.org/WEBONLY/publicfeature/aug03/wind.html Some interesting / frightening e-mail statistics: 1. The so-called Buffalo Spammer sent 825 million e-mails to a single ISP, Earthlink. 2. Service Providers AOL and MSN filter 2 billion (that's a "B" and not an "M") spam messages per DAY. Paul Graham's artcile "A Plan for Spam" can be found at http://www.paulgraham.com/spam.html Some other articles mentioned by the IEEE on Bayesian filtering (note the spelling of Bayesian with the "e" in it !) include http://research.microsoft.com/~horvitz/junkfilter.htm and http://www.eprivacygroup.com/pdfs/SpamByTheNumbers.pdf I also found a good site with links to lots of Bayesian filters for spam at http://spamlinks.port5.com/filter-client.htm and specifically for Windows e-mail clients as http://spamlinks.port5.com/filter-client-win.htm Not gliding, but interesting ! Cheers Jason Armistead -- * You are subscribed to the aus-soaring mailing list. * To Unsubscribe: send email to [EMAIL PROTECTED] * with "unsubscribe aus-soaring" in the body of the message * or with "help" in the body of the message for more information.
