Re: [exim] Estimating spam deliveries

On Tue, 16 Oct 2007, Renaud Allard wrote:

> The hard part here is to detect false assumptions from users. For
> example, some will say that a mail is a spam while it is not, it is just
> a mailing list from a shop where they bought a product and clicked on
> the "I want to receive your mailings". The reverse is also possible
> (think phishing).

> As strange as it may sound, "un-spam-educated" users are often less
> accurate than automated spam filters.

Amen to that. If you're signed up for AOL's feedback loop, even taking
into account the allegedly poor placement of their "Report as spam" button
in the interface, it is amazing what obviously-not-spam stuff they report
as spam.

Jethro.

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Jethro R Binks
Computing Officer, IT Services
University Of Strathclyde, Glasgow, UK