Once upon a time I thought it would be a great idea to include my email address at the top of each IPB source code file.
Fast forward three years and three million spam emails and I’m glad I removed it a few years ago. Despite having my IPS emails filtered via the corporate spam filter and using gmail for just about everything else I still have an annoying amount of spam to deal with.
Apple Mail’s built in junk filter does an OK job but I found that it was
junking more and more legitimate email while letting Nigerian scam
emails through just fine.
SpamSieve gives you back your inbox by bringing powerful Bayesian spam filtering to Mac e-mail clients. It’s quick and easy to control SpamSieve from within your mail client, and you can customize how it interacts with the rest of your message sorting rules. Other spam filters get worse over time as spammers adapt to their rules; SpamSieve actually gets better over time as it adapts to your mail. By learning from the very messages that you receive, SpamSieve is able to block nearly all of your spam, without putting your good messages in the spam mailbox.
It’s an audacious claim – and one that is backed up by the spam sieve statistics. I’ve been using it for a few weeks now and apart from the odd rogue email, it’s done a remarkable job. It works as a plug-in for Apple’s Mail (and can also work as a plug in for Thunderbird and Entourage) and takes over junk mail duty. You can train it with known “good” and “bad” messages and it keeps a log of what it’s up to. You can also add your own entries to its “whitelist” and “blocklist”.
Here’s some statistics collected since the 14th of this month:
307 Good Messages
3222 Spam Messages (91%)
201 Spam Messages Per Day
3 False Positives
13 False Negatives (81%)
It’s not a free product, but the $25 price tag is more than justified. If you’re using Apple Mail – give SpamSieve a go.