I didn't see the discussion where you promised to produce this, but I think
the problem is how much non-spam also fails SPF.
From ruleqa.spamassassin.org/?daterev=20130211-r1444680-n&rule=%2Fspf :
MSECS SPAM% HAM% S/O RANK SCORE NAME WHO/AGE
0 0.0236 0.9635 0.024 0.15 0.00 SPF_FAIL
0 0.0383 0.3059 0.111 0.27 0.00 SPF_SOFTFAIL
Way more non-spam is failing than spam.
Catching spam is easy. Doing so without excessive false positives is
what's hard.
On 02/12, Martijn Grooten wrote:
> I had promised to produce some stats on SPF and spam.
>
> Over the Christmas holidays, I sent over 60k spam messages through 21 spam filters in the spam-filter test I run regularly. I checked the SPF status of the messages and measured how many filters failed to block each message.
>
> Here are the results:
> SPF fail: 3171 emails, on average missed by 0.24 filters (out of 21) with a standard deviation of 0.04.
> SPF pass: 8106 emails, avg 0.93, stddev 0.23
> SPF softfail: 8672 emails, avg 0.45, stddev 0.09
> SPF neutral: 13466 emails, avg 0.34, stddev 0.04
> SPF none: 26938 emails, avg 0.43, stddev 0.06
>
> A neater table and a graph can be found here: http://www.virusbtn.com/news/2013/02_04.xml
>
> Now correlation doesn't imply causation and there are good reasons why the relationship here may not causal, but let's for a moment we assume it is.
>
> This means that if you're a spammer, failing SPF isn't a good idea, while making sure your emails pass SPF means you're more likely to see your messages delivered, but you by no means get a free ride to users' inboxes.
>
> If you find a 'clever' way to avoid failing SPF by using a domain with no SPF record, there is only a small improvement in your delivery rates.
>
> Martijn.
>
>
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