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A messages that just made it through to my mailbox had the following SA
headers:

X-Spam-Checker-Version: SpamAssassin 3.1.0 (2005-09-13)
X-Spam-Level: ****
X-Spam-Status: No, score=4.5 required=7.0 tests=BAYES_50,HTML_40_50,
        HTML_MESSAGE,URIBL_SBL autolearn=no version=3.1.0

I bounced it to our 'spam' address and ran 'spamc' against the message
and came back with:

X-Spam-Checker-Version: SpamAssassin 3.1.0 (2005-09-13)
X-Spam-Level:
X-Spam-Status: No, score=0.5 required=7.0 tests=BAYES_40,HTML_40_50,
        HTML_MESSAGE,URIBL_SBL autolearn=no version=3.1.0


I've seen this often where email bounced by one of our users to out spam
box appears to have a lower score when tested manually but in this case,
I ran spamc within minutes of receiving the message.

Any ideas on what may have changed in the Bayesian database in the short
interval that would lower the confidence that the message is spam?

Thanks,
Dave
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