SpamSieve uses a variety of filters to determine whether messages are spam or good. It consults the filters in the order listed in this window. When a filter decides that the message is good or spam, SpamSieve stops moving down the list. Thus, the order of the filters makes a difference. You can see from the order that if a message’s sender is on the allowlist, it will be marked as good even if the Bayesian classifier would have predicted it to be spam. Normally this is what you want; the point of a allowlist is that you can be sure that certain messages will never be marked as spam.