I’ve been using my QTek 9100 (HTC Wizard platform) for about a year. What I liked about it was good Windows compatibility, smooth sync with Outlook, a lot of available software, nice QWERTY keyboard. What I didn’t like was lack of system stability, poor performance and, last but not least, really terrible ergonomics.

Finally I got bored messing with stylus every time I need to do something like editing a contact or calendar entry, so I’ve decided to switch to another platform. After about a month of research & discussions I’ve finished with new Nokia E61, Symbian 9.1 (S60 rev.3) platform. It had everything it should have: QWERTY keyboard, WiFi, Bluetooth, and SIP client as a bonus.

When I started using SpamAssassin about one year ago, I didn’t like the fact that even with high Bayes scores messages were not deleted, but marked as spam instead. At the same time Mozilla Thinderbird virtually never made a mistake deciding whether message is a junk mail or not.

On the other hand, messages with low Bayes scores and one or two matches by SA formal rules were getting low overall score too.

I’ve started analyzing messages that Thunderbird marked as junk mail. Soon I came to conclusion which seems quite obvious: if we have both Bayes match and formal rule match, than the overall probability that message is a spam becomes much higher. So, to solve the problem, we have to implement some meta rules that would execute when number of conditions match at the same time.