> > 0.01 * 10^34 = 10^32 times. at 1,000,000,000 tries per second, that > > will only take you 10^23 seconds = roughly the age of the universe. > > Not to mention the challenge of coming up with 10^32 unique intelligible > ways of talking about penis enlargement, multilevel marketing, and wild > teen-age ferrets!
ok, point taken... though if I recall, the posts that I read had personal-type messages being marked as false positives. Maybe it was just a misconfigured system or something.. Anyway, the trick then seems to be properly identifying and reporting the spam.. preferably taking the tools OUT of the hands of the users, and incorporating them into something like spamassassin.. Then again, if spamassassin gets good enough at identifying spam, something like this (razor) wouldn't really be necessary. instead of distributing lists of checksums for spams, we could just provide some sort of auto-update feature for spamassassin to go out and grab new global rulesets. then again, creating rulesets for specific spammers would still require people to report things as spam. and runs into that problem of people reporting the wrong things. Maybe this look at tracking falsly-marked spams in spamassassin (ie. real opt-in lists) will provide some insight. ok, brainstorm over.. none of this sounds quite right... -Chris _______________________________________________________________ Hundreds of nodes, one monster rendering program. Now that’s a super model! Visit http://clustering.foundries.sf.net/ _______________________________________________ Spamassassin-talk mailing list [EMAIL PROTECTED] https://lists.sourceforge.net/lists/listinfo/spamassassin-talk
