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Path: ...!feeds.phibee-telecom.net!3.eu.feeder.erje.net!feeder.erje.net!fu-berlin.de!uni-berlin.de!not-for-mail From: Chris Angelico <rosuav@gmail.com> Newsgroups: comp.lang.python Subject: Re: Anonymous email users Date: Tue, 25 Jun 2024 11:49:16 +1000 Lines: 35 Message-ID: <mailman.173.1719280170.2909.python-list@python.org> References: <006901dabea6$4a159d30$de40d790$@gmail.com> <mailman.136.1718402442.2909.python-list@python.org> <v58dhp$7182$1@dont-email.me> <4CB44E85-2DF4-47DE-844B-DA7371D80836@barrys-emacs.org> <4W7GJc0BcSznVFw@mail.python.org> <CAPTjJmp2KVKLV0D_zxJyYQGLum_G_RGRYKR3kcY4dYCnUkr6RA@mail.gmail.com> Mime-Version: 1.0 Content-Type: text/plain; charset="UTF-8" X-Trace: news.uni-berlin.de /Io6zwjDVbR5HJzK4rmduAkaM6qxL/MoJPRU/EzlgOWg== Cancel-Lock: sha1:fhTfuPkijRVqItrahZcLfxYKqgk= sha256:1sYienXOv2/FGSdb4y1KImhpqFEsYcS09r4DhRLNNss= Return-Path: <rosuav@gmail.com> X-Original-To: python-list@python.org Delivered-To: python-list@mail.python.org Authentication-Results: mail.python.org; dkim=pass reason="2048-bit key; unprotected key" header.d=gmail.com header.i=@gmail.com header.b=Q2JpmKCS; dkim-adsp=pass; dkim-atps=neutral X-Spam-Status: OK 0.016 X-Spam-Evidence: '*H*': 0.97; '*S*': 0.00; 'projects,': 0.03; '(for': 0.05; 'filter': 0.07; 'moment,': 0.07; 'filtering': 0.09; 'open- source': 0.09; 'rejecting': 0.09; 'subject:Anonymous': 0.09; '1,000': 0.16; '2024': 0.16; 'bayesian': 0.16; 'chrisa': 0.16; 'count.': 0.16; 'from:addr:rosuav': 0.16; 'from:name:chris angelico': 0.16; 'junk': 0.16; 'nuke': 0.16; 'sees': 0.16; 'stats': 0.16; 'wrote:': 0.16; 'grant': 0.17; 'probably': 0.17; "can't": 0.17; 'addresses': 0.19; 'tue,': 0.19; 'to:addr:python- list': 0.20; "i've": 0.22; 'purposes': 0.22; '(and': 0.25; 'past': 0.25; 'depends': 0.25; 'stuff': 0.25; 'jun': 0.26; "isn't": 0.27; 'mostly': 0.28; 'example,': 0.28; 'python-list': 0.32; 'same,': 0.32; 'message-id:@mail.gmail.com': 0.32; 'but': 0.32; "i'm": 0.33; '100': 0.33; 'server': 0.33; 'same': 0.34; 'header:In-Reply- To:1': 0.34; 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Mon, 24 Jun 2024 18:49:27 -0700 (PDT) In-Reply-To: <4W7GJc0BcSznVFw@mail.python.org> X-BeenThere: python-list@python.org X-Mailman-Version: 2.1.39 Precedence: list List-Id: General discussion list for the Python programming language <python-list.python.org> List-Unsubscribe: <https://mail.python.org/mailman/options/python-list>, <mailto:python-list-request@python.org?subject=unsubscribe> List-Archive: <https://mail.python.org/pipermail/python-list/> List-Post: <mailto:python-list@python.org> List-Help: <mailto:python-list-request@python.org?subject=help> List-Subscribe: <https://mail.python.org/mailman/listinfo/python-list>, <mailto:python-list-request@python.org?subject=subscribe> X-Mailman-Original-Message-ID: <CAPTjJmp2KVKLV0D_zxJyYQGLum_G_RGRYKR3kcY4dYCnUkr6RA@mail.gmail.com> X-Mailman-Original-References: <006901dabea6$4a159d30$de40d790$@gmail.com> <mailman.136.1718402442.2909.python-list@python.org> <v58dhp$7182$1@dont-email.me> <4CB44E85-2DF4-47DE-844B-DA7371D80836@barrys-emacs.org> <4W7GJc0BcSznVFw@mail.python.org> Bytes: 7182 On Tue, 25 Jun 2024 at 11:41, Grant Edwards via Python-list <python-list@python.org> wrote: > I've been using the same e-mail address for about 20 years. I've use > that e-mail address with probably close to 100 retailers, charities, > open-source projects, media sites, and various other organizations. Mostly the same, although in my case, I've had multiple email addresses for different purposes (and still kept all of them for decades). > I get at most a few spam emails per week [I just checked my spam > folder: 8 in the past 30 days]. And Gmail is very, very close to 100% > accurate at filtering them out. I can't remember the last time I > actually got a spam message in my inbox. > > > A few years ago the spam count was greater than a 1,000 a month. > > I'm baffled. Is Gmail silently rejecting that much junk before it > even gets to the filter that puts stuff into my "spam" folder? > It really depends on how you count. On my mail server (can't get stats for Gmail), I have a number of anti-spam and anti-abuse rules that apply prior to the Bayesian filtering (for example, protocol violations), and any spam that gets blocked by those rules isn't shown in my stats. And then I have a further set of rules that nuke some of the most blatant spam, and finally the regular trainable filter. I should probably keep better stats on the stuff I don't keep, but at the moment, all I actually track is the ones that the filter sees - which is roughly 25-50 a day. So.... yeah, Gmail is probably rejecting that much junk, but most of it for protocol violations. ChrisA