X-From_: folks-bounces@wikipedometer.net Thu Jun 11 11:14:51 2009
Return-Path: <folks-bounces@wikipedometer.net>
MIME-Version: 1.0
In-Reply-To: <25890ca0906110141o354d5f7ancaf3aa7f0bcac5cc@mail.gmail.com>
References: <4fbe29dd0906080532g1a082d0ej7c91f03b8628a86e@mail.gmail.com>
	<4fbe29dd0906092235s59eeaf38sf29f723eb76e4649@mail.gmail.com>
	<25890ca0906092316uf280f01j3521746fd35167e0@mail.gmail.com>
	<4fbe29dd0906092352t21bf87aay1e0163114e3d9176@mail.gmail.com>
	<4fbe29dd0906100333l4a56bb05w98767a19c37e0b8b@mail.gmail.com>
	<25890ca0906102120r4e633391jd3f972318a9d2a0a@mail.gmail.com>
	<4fbe29dd0906110047w65c5f8b4k1aa966be08e80d20@mail.gmail.com>
	<25890ca0906110116r6af8ecf7qe36b4173ce96132c@mail.gmail.com>
	<929ed1ec0906110124i752c73fcvb9e44384d7ec0138@mail.gmail.com>
	<25890ca0906110141o354d5f7ancaf3aa7f0bcac5cc@mail.gmail.com>
Date: Thu, 11 Jun 2009 12:14:37 +0300
Message-ID: <4fbe29dd0906110214q399fbdachc05799e27120c0e8@mail.gmail.com>
From: =?UTF-8?B?U2FuZGVyIFPDpGRl?= <sander.sade@gmail.com>
To: Wikipedia statistics <folks@wikipedometer.net>
X-Spam_score: 0.5
X-Spam_score_int: 5
X-Spam_bar: /
X-Spam_report: Spam detection software,
	running on the system "pakkun.mirky.net", has
	identified this incoming email as possible spam. The original message
	has been attached to this so you can view it (if it isn't spam) or
	label similar future email.  If you have any questions, see
	the administrator of that system for details.
	Content preview:  Normalization in this context is simply converting
	actual values to percent-like numbers, so two users with different edit
	counts can be represented in a graph, nothing more. The usability for
	detecting socks or locations is naturally limited - however, changing
	one's normal editing times is much harder than changing username - a
	major shift in lifestyle should be involved. This can be an additional
	data in sock detection - also, I suspect it is one of the tools that
	checkusers have, along with simple whois+geodata and a tool to compare
	articles edited - ie if suspected socks have edited the same articles.
	[...] Content analysis details:   (0.5 points, 5.0 required)
	pts rule name              description
	---- ----------------------
	--------------------------------------------------
	0.8 HTML_00_10             BODY: Message is 0% to 10% HTML
	-2.6 BAYES_00 BODY: Bayesian spam probability is 0 to 1%
	[score: 0.0000]
	0.0 HTML_MESSAGE           BODY: HTML included in message
	1.7 DNS_FROM_RFC_POST      RBL: Envelope sender in
	postmaster.rfc-ignorant.org
	0.6 AWL AWL: From: address is in the auto white-list
X-Spam-Checker-Version: SpamAssassin 3.1.7-deb (2006-10-05) on 
	pakkun.mirky.net
X-Spam-Level: *
X-Spam-Status: No, score=1.8 required=5.0 tests=AWL,BAYES_50,
	DNS_FROM_RFC_POST,HTML_00_10,HTML_MESSAGE autolearn=no 
	version=3.1.7-deb
Subject: Re: [WPM] Diurnal cycle tool
X-BeenThere: folks@wikipedometer.net
X-Mailman-Version: 2.1.9
Precedence: list
Reply-To: Wikipedia statistics <folks@wikipedometer.net>
List-Id: Wikipedia statistics <folks.wikipedometer.net>
List-Unsubscribe: <http://wikipedometer.net/cgi-bin/mailman/listinfo/folks>,
	<mailto:folks-request@wikipedometer.net?subject=unsubscribe>
List-Post: <mailto:folks@wikipedometer.net>
List-Help: <mailto:folks-request@wikipedometer.net?subject=help>
List-Subscribe: <http://wikipedometer.net/cgi-bin/mailman/listinfo/folks>,
	<mailto:folks-request@wikipedometer.net?subject=subscribe>
Content-Type: multipart/mixed; boundary="===============1569258498984107859=="
Mime-version: 1.0
Sender: folks-bounces@wikipedometer.net
Errors-To: folks-bounces@wikipedometer.net
X-Spam_score: 1.5
X-Spam_score_int: 15
X-Spam_bar: +
X-Spam_report: Spam detection software, running on the system "pakkun.mirky.net", has
	identified this incoming email as possible spam.  The original message
	has been attached to this so you can view it (if it isn't spam) or label
	similar future email.  If you have any questions, see
	the administrator of that system for details.
	Content preview:  Normalization in this context is simply converting
	actual values to percent-like numbers, so two users with different edit
	counts can be represented in a graph, nothing more. The usability for
	detecting socks or locations is naturally limited - however, changing
	one's normal editing times is much harder than changing username - a
	major shift in lifestyle should be involved. This can be an additional
	data in sock detection - also, I suspect it is one of the tools that
	checkusers have, along with simple whois+geodata and a tool to compare
	articles edited - ie if suspected socks have edited the same articles.
	[...] 
	Content analysis details:   (1.5 points, 5.0 required)
	pts rule name              description
	---- ---------------------- --------------------------------------------------
	0.8 HTML_00_10             BODY: Message is 0% to 10% HTML
	0.0 HTML_MESSAGE           BODY: HTML included in message
	-0.7 BAYES_20               BODY: Bayesian spam probability is 5 to 20%
	[score: 0.0859]
	1.7 DNS_FROM_RFC_POST      RBL: Envelope sender in
	postmaster.rfc-ignorant.org
	-0.3 AWL                    AWL: From: address is in the auto white-list

--===============1569258498984107859==
Content-Type: multipart/alternative; boundary=0016367b6ad463cb53046c0f0518

--0016367b6ad463cb53046c0f0518
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 7bit

Normalization in this context is simply converting actual values to
percent-like numbers, so two users with different edit counts can be
represented in a graph, nothing more.

The usability for detecting socks or locations is naturally limited -
however, changing one's normal editing times is much harder than changing
username - a major shift in lifestyle should be involved. This can be an
additional data in sock detection - also, I suspect it is one of the tools
that checkusers have, along with simple whois+geodata and a tool to compare
articles edited - ie if suspected socks have edited the same articles.

Sander

--0016367b6ad463cb53046c0f0518
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

Normalization in this context is simply converting actual values to percent=
-like numbers, so two users with different edit counts can be represented i=
n a graph, nothing more.<br><br>The usability for detecting socks or locati=
ons is naturally limited - however, changing one&#39;s normal editing times=
 is much harder than changing username - a major shift in lifestyle should =
be involved. This can be an additional data in sock detection - also, I sus=
pect it is one of the tools that checkusers have, along with simple whois+g=
eodata and a tool to compare articles edited - ie if suspected socks have e=
dited the same articles.<br>
<br>Sander<br>

--0016367b6ad463cb53046c0f0518--


--===============1569258498984107859==
Content-Type: text/plain; charset="us-ascii"
MIME-Version: 1.0
Content-Transfer-Encoding: 7bit
Content-Disposition: inline

_______________________________________________
Wikipedia statistics discussion list
folks@wikipedometer.net
http://wikipedometer.net/cgi-bin/mailman/listinfo/folks

--===============1569258498984107859==--


