https://issues.apache.org/SpamAssassin/show_bug.cgi?id=6828

--- Comment #7 from AXB <[email protected]> ---
(In reply to comment #6)
> (In reply to comment #5)
> 
> > tested and using -4 and autolearn only (no manual trainig) on a very mixed
> > user base and site wide Bayes has been very reliable..
> 
> The trouble with making ham autolearning dependent on DNS whitelists is that
> the training can change dramatically with the scores of those rules. If you
> started training a while ago when  RCVD_IN_DNSWL_MED scored -4, then you
> will have trained on a much wider selection that you if start over now.
> Currently you'll be reliant on RCVD_IN_DNSWL_HI and combinations like
> RCVD_IN_DNSWL_MED+RCVD_IN_RP_CERTIFIED, which will mean mostly autogenerated
> mail from companies like Amazon, and direct marketing mail, but probably
> almost no person to person mail. 
> 
> Also if someone turns-off DNS whitelists they wont learn any ham at all.

FWIW: On my systems all DNS whitelist/certifiers/SPF/DKIM are disabled.
(I don't trust third parties/keys for WLing)
Autolearning ham has never been an issue on a mixed language system.
(in the last 8 years, I have never fed Bayes manually )

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