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25? That seems like a lot. I hope your setup uses short circuiting?

I did a lot of research to find good lists. That means vanishingly small false positive ratios, clear and reasonable methodology that agrees with my philosophies, good organizations behind them, and good coverage in union. I use Spamhaus XBL and SpamCop SCBL. Independently they're great. Adding them together nets an additional 4.4% with just the one additional DNS lookup, totalling, I think it was, 86% (hm, must have had other measures added into that, XBL shouldn't get 82%). Adding other lists got rapidly diminishing returns so I didn't bother.

I used Al Iverson's stats resource back when it was operational to give me a leg up on finding DNSBLs and checking their performances.

Now that I'm looking at it I can't remember why I didn't choose the combined Spamhaus SBL-XBL instead of XBL.

Running a small system with users who are fine with it, I get to implement greylisting as well. Which seems to augment DNSBL effectiveness.

I recommend Spamhaus XBL and Spamcop Blocking List .

Spamcop used to have problems, but I think they resolved them a couple years ago.

Back when http://stats.dnsbl.com/ was operational I used their data to give me a quick leg up on figuring out which lists to look at. Then I checked out the lists for how they operate and then did a performance analysis.

Aside from policy/operation, two things that were particularly important to me were false positives and overlap. These lists get very low false positives and they combine nicely.

Old stats:

http://stats.dnsbl.com/zen.html

http://stats.dnsbl.com/spamcop.html

I recommend Spamhaus XBL and Spamcop Blocking List .

Spamcop used to have problems, but I think they resolved them a couple years ago.

Back when http://stats.dnsbl.com/ was operational I used their data to give me a quick leg up on figuring out which lists to look at. Then I checked out the lists for how they operate and then did a performance analysis.

Aside from policy/operation, two things that were particularly important to me were false positives and overlap. These lists get very low false positives and they combine nicely.

Old stats:

http://stats.dnsbl.com/zen.html

http://stats.dnsbl.com/spamcop.html

I recommend Spamhaus XBL and Spamcop Blocking List .

Spamcop used to have problems, but I think they resolved them a couple years ago.

Back when http://stats.dnsbl.com/ was operational I used their data to give me a quick leg up on figuring out which lists to look at. Then I checked out the lists for how they operate and then did a performance analysis.

Aside from policy/operation, two things that were particularly important to me were false positives and overlap. These lists get very low false positives and they combine nicely.

Old stats:

http://stats.dnsbl.com/zen.html

http://stats.dnsbl.com/spamcop.html

I recommend Spamhaus XBL and Spamcop Blocking List .

Spamcop used to have problems, but I think they resolved them a couple years ago.

Back when http://stats.dnsbl.com/ was operational I used their data to give me a quick leg up on figuring out which lists to look at. Then I checked out the lists for how they operate and then did a performance analysis.

Aside from policy/operation, two things that were particularly important to me were false positives and overlap. These lists get very low false positives and they combine nicely.

Old stats:

http://stats.dnsbl.com/zen.html

http://stats.dnsbl.com/spamcop.html

Add a $1000 (or more) charge to the TOS each time someone gets caught spamming through them

As a web app developer, that's potentially a dealbreaker for me. Who determines what spam is?

According to the five-ten DNSBL, anything that's sent w/o a closed loop opt in is spam. So they block all sorts of ips the rest of us might think of as legitimate, like "microsoft, multiple public radio newsletters (from different radio stations in different states), travel notifications and newsletters from Expedia and Hotwire, lots of other newsletters and news updates from various newspapers and TV shows, and even the newsletter from my favorite pizza place back in my home town of Minneapolis." (source)

So, who's definition of spam are they using? Hell, half the email I get from digg ends up in my yahoo spam folder automatically.

Without a strict definition of what is and isn't spam, that TOS clause is absolutely unacceptable.

http://stats.dnsbl.com/

Or, for commentary:

http://www.dnsbl.com/

Absolutely the best resource on the topic.

http://stats.dnsbl.com/

Or, for commentary:

http://www.dnsbl.com/

Absolutely the best resource on the topic.