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Date: Sat, 06 Jun 2009 08:18:49 +0200
From: Piotr Konieczny <piokon@post.pl>
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To: Wikipedia statistics <folks@wikipedometer.net>
References: <929ed1ec0906051309n2ce2da9bq92d9304d77f07159@mail.gmail.com>
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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
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	the administrator of that system for details.
	Content preview:  Digwuren wrote: > One of the classic tactics involves
	overwhelming the opponent's revert > count. To do this, we'd have to
	coördinate at the level of determining > a day and consistently revert
	him (and the rest of the Cartel) until 3RR > kicks in. The obvious
	downside is that a tight series of reverts such > as this has the risk
	of catching administrative attention, with all the > consequent risks.
	[...] 
	Content analysis details:   (-2.4 points, 5.0 required)
	pts rule name              description
	---- ---------------------- --------------------------------------------------
	0.1 FORGED_RCVD_HELO       Received: contains a forged HELO
	-2.6 BAYES_00               BODY: Bayesian spam probability is 0 to 1%
	[score: 0.0000]
	0.1 AWL                    AWL: From: address is in the auto white-list
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Subject: Re: [WPM] tactics re Offliner and PasswordUsername
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X-Spam_report: Spam detection software, running on the system "pakkun.mirky.net", has
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	Content preview:  Digwuren wrote: > One of the classic tactics involves
	overwhelming the opponent's revert > count. To do this, we'd have to
	coördinate at the level of determining > a day and consistently revert
	him (and the rest of the Cartel) until 3RR > kicks in. The obvious
	downside is that a tight series of reverts such > as this has the risk
	of catching administrative attention, with all the > consequent risks.
	[...] 
	Content analysis details:   (-2.2 points, 5.0 required)
	pts rule name              description
	---- ---------------------- --------------------------------------------------
	0.1 FORGED_RCVD_HELO       Received: contains a forged HELO
	-2.6 BAYES_00               BODY: Bayesian spam probability is 0 to 1%
	[score: 0.0000]
	0.2 MIME_BASE64_NO_NAME    RAW: base64 attachment does not have a file name
	-0.0 AWL                    AWL: From: address is in the auto white-list

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