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On Fri, 9 Aug 2024 22:18:12 +0100, D wrote:
newsgroups can receive dozens or even hundreds of articles per day;
scoring rules can be used to automatically separate these articles into
categories: first, by analyzing common "xover" message header fields
then applying scores and actions to those affected articles;
second, by analyzing all header fields in articles which have been
downloaded and scoring them accordingly: e.g. from, subject, xpost,
https://knowyourmeme.com/memes/here-lies-beavis-he-never-scored
George Musk <grgmusk@skiff.com> wrote:
On Fri, 9 Aug 2024 22:18:12 +0100, D wrote:
newsgroups can receive dozens or even hundreds of articles per day;
scoring rules can be used to automatically separate these articles
into categories: first, by analyzing common "xover" message header
fields then applying scores and actions to those affected articles;
second, by analyzing all header fields in articles which have been
downloaded and scoring them accordingly: e.g. from, subject, xpost,
https://knowyourmeme.com/memes/here-lies-beavis-he-never-scored
OK, but why'd you break the lovely right justification?
On Sat, 10 Aug 2024 14:55:22 -0000 (UTC), Steven M. O'Neill wrote:
George Musk <grgmusk@skiff.com> wrote:
On Fri, 9 Aug 2024 22:18:12 +0100, D wrote:
newsgroups can receive dozens or even hundreds of articles per day;
scoring rules can be used to automatically separate these articles
into categories: first, by analyzing common "xover" message header
fields then applying scores and actions to those affected articles;
second, by analyzing all header fields in articles which have been
downloaded and scoring them accordingly: e.g. from, subject, xpost,
https://knowyourmeme.com/memes/here-lies-beavis-he-never-scored
OK, but why'd you break the lovely right justification?
Because I have Wrap Text on usually, I guess.
newsgroups can receive dozens or even hundreds of articles per day;
scoring rules can be used to automatically separate these articles into categories: first, by analyzing common "xover" message header fields
then applying scores and actions to those affected articles;
second, by analyzing all header fields in articles which have been
downloaded and scoring them accordingly: e.g. from, subject, xpost,