In that case, the remedy is to choose Reset Corpus from the Filter menu, then re-train SpamSieve. only spam, all good messages are remaining in the inbox. In other words, there were other messages that looked like this that SpamSieve thought were spam, and since you didn’t tell it otherwise, it learned that they were spam, making future mistakes like this more likely. With Spamsieve enabled I get the following messages when starting Mail: After dismissing them Mail does launch and items are being move the the SpamSieve Spam folder as expected, i.e. And yes, I realize that is a shitload of spam to process in just four. It’s also possible that, over time, using Not Junk instead of Train as Good has built up a lot of incorrect information in SpamSieve’s corpus. Since I last reset my SpamSieve statistics, the accuracy is at 99.6 - that rocks. Create an e-mail to and drag the Diagnostic Report.tbz file into the e-mail message to include it as an attachment/enclosure. Sometimes there is an important clue there about something that needs to be adjusted in the settings. You could also look backwards and find the Predicted: Spam log entry for that message to see why SpamSieve originally thought it was spam. You can't run scripts from third party apps anymore, only manually from within Outlook and you can't setup rules to trigger an AppleScript either. So this is good in the sense that SpamSieve knows it made a mistake and is learning. The Mistake: False Positive means that SpamSieve recognizes that it had incorrectly predicted this message to be spam (as opposed to your training a message that had been moved to the Spam mailbox for some other reason). The Trained: Good (Manual) means that the training took. SpamSieve alerts you to the new messages via Growl only if it finds some to tag as good. I assume that this means the training as Good did not take later with an entry “Mistake: False Positive”.
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