On 2025-02-16 at 10:38:38 UTC-0500 (Sun, 16 Feb 2025 10:38:38 -0500)
Alex
is rumored to have said:
[quoting me]
TxRep (like AWL) is fed not by Bayes learning (sa-learn) but rather
it
tracks the combination of an address and a source IP range (/24) with
a
tally of the SA scores of messages usi
>
>
>
> > Is there any benefit to training an email that's already hitting
> > bayes99?
>
> Yes. The tokens which made it hit 99% are already doing their jobs, but
> the rest of the message that Bayes isn't seeing as spammy may turn out
> to be what makes the next spam hit 99.9%
>
I have noticed t
On 2025-02-14 at 17:00:03 UTC-0500 (Fri, 14 Feb 2025 17:00:03 -0500)
Alex
is rumored to have said:
Hi,
I'm using SA v4 and trying to find ways to minimize the amount of junk
that
isn't tagged. Emails like "1-hour free consultation" or "buy this
event
list" or "salesforce optimization" or "HR
Alex writes:
> These also aren't always one-offs, but maybe a dozen or twenty of each over
> a short period that get through, likely before the URIs are blocked through
> other means. Other times they don't have a link at all.
Sounds like fairly aggressive greylisting is in order.
On Fri, 14 Feb 2025, Alex wrote:
Hi,
I'm using SA v4 and trying to find ways to minimize the amount of junk that
isn't tagged. Emails like "1-hour free consultation" or "buy this event
list" or "salesforce optimization" or "HR consulting" that already hit
bayes99 (and bayes999) but are still jus
Hi,
I'm using SA v4 and trying to find ways to minimize the amount of junk that
isn't tagged. Emails like "1-hour free consultation" or "buy this event
list" or "salesforce optimization" or "HR consulting" that already hit
bayes99 (and bayes999) but are still just shy of 5 points.
Is there any ben
