| Current Path : /proc/thread-self/root/home/ift/mails/40/ |
Linux ift1.ift-informatik.de 5.4.0-216-generic #236-Ubuntu SMP Fri Apr 11 19:53:21 UTC 2025 x86_64 |
| Current File : //proc/thread-self/root/home/ift/mails/40/1545985754.zrspam.401995_2018_12_28 |
From 12362-10617-457-3350-christian.gabriel=shortnote.de@mail.pno4l.us Fri Dec 28 09:29:14 2018
Return-Path: <12362-10617-457-3350-christian.gabriel=shortnote.de@mail.pno4l.us>
X-Original-To: cgabriel@ift-informatik.de
Delivered-To: cgabriel@ift-informatik.de
Received: by ift-informatik.de (Postfix, from userid 5555)
id 76CE53D20007D; Fri, 28 Dec 2018 09:29:14 +0100 (CET)
Received: from localhost by h2486555.stratoserver.net
with SpamAssassin (version 3.4.0);
Fri, 28 Dec 2018 09:29:14 +0100
From: "Daily Pet Moments" <correspondence@pno4l.us>
To: <christian.gabriel@shortnote.de>
Subject: *****SPAM***** Receive the free, daily Pet Moments news.
Date: Fri, 28 Dec 2018 09:27:37 +0100
Message-Id: <r817bvvxlipv75a8-k8sskidfpj0f9ih2-2979-1c9@pno4l.us>
X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on
h2486555.stratoserver.net
X-Spam-Flag: YES
X-Spam-Level: ******
X-Spam-Status: Yes, score=6.7 required=5.0 tests=BAYES_00,DKIM_SIGNED,
HTML_FONT_LOW_CONTRAST,HTML_MESSAGE,RAZOR2_CF_RANGE_51_100,
RAZOR2_CF_RANGE_E8_51_100,RAZOR2_CHECK,RCVD_IN_BRBL_LASTEXT,RDNS_NONE,
T_DKIM_INVALID,URIBL_BLOCKED,URIBL_DBL_SPAM,URIBL_JP_SURBL autolearn=no
autolearn_force=no version=3.4.0
MIME-Version: 1.0
Content-Type: multipart/mixed; boundary="----------=_5C25DEDA.470BF99B"
This is a multi-part message in MIME format.
------------=_5C25DEDA.470BF99B
Content-Type: text/plain; charset=iso-8859-1
Content-Disposition: inline
Content-Transfer-Encoding: 8bit
Spam detection software, running on the system "h2486555.stratoserver.net",
has identified this incoming email as possible spam. The original
message has been attached to this so you can view it or label
similar future email. If you have any questions, see
@@CONTACT_ADDRESS@@ for details.
Content preview: Receive the free, daily Pet Moments news. http://pno4l.us/Y_IyYGCo1GQAg5OMDAxivAwMGZIMDJdKUqIA_457_2979_a98e227c_0300
http://pno4l.us/E_EyYGCo1GQAg5OMDAxivAwMGZIMDAELG3cAAA_457_2979_1a5eb2f3_0300
[...]
Content analysis details: (6.7 points, 5.0 required)
pts rule name description
---- ---------------------- --------------------------------------------------
1.2 URIBL_JP_SURBL Contains an URL listed in the JP SURBL blocklist
[URIs: pno4l.us]
0.0 URIBL_BLOCKED ADMINISTRATOR NOTICE: The query to URIBL was blocked.
See
http://wiki.apache.org/spamassassin/DnsBlocklists#dnsbl-block
for more information.
[URIs: pno4l.us]
1.7 URIBL_DBL_SPAM Contains an URL listed in the DBL blocklist
[URIs: pno4l.us]
1.4 RCVD_IN_BRBL_LASTEXT RBL: No description available.
[185.225.37.168 listed in bb.barracudacentral.org]
0.0 HTML_MESSAGE BODY: HTML included in message
0.0 HTML_FONT_LOW_CONTRAST BODY: HTML font color similar or identical to
background
-1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1%
[score: 0.0000]
0.1 DKIM_SIGNED Message has a DKIM or DK signature, not necessarily valid
0.9 RAZOR2_CHECK Listed in Razor2 (http://razor.sf.net/)
0.5 RAZOR2_CF_RANGE_51_100 Razor2 gives confidence level above 50%
[cf: 100]
1.9 RAZOR2_CF_RANGE_E8_51_100 Razor2 gives engine 8 confidence level
above 50%
[cf: 100]
0.8 RDNS_NONE Delivered to internal network by a host with no rDNS
0.0 T_DKIM_INVALID DKIM-Signature header exists but is not valid
The original message was not completely plain text, and may be unsafe to
open with some email clients; in particular, it may contain a virus,
or confirm that your address can receive spam. If you wish to view
it, it may be safer to save it to a file and open it with an editor.
------------=_5C25DEDA.470BF99B
Content-Type: message/rfc822; x-spam-type=original
Content-Description: original message before SpamAssassin
Content-Disposition: attachment
Content-Transfer-Encoding: 8bit
Received: from clarke.pno4l.us (unknown [185.225.37.168])
by ift-informatik.de (Postfix) with ESMTP id 43BF73D200063
for <christian.gabriel@shortnote.de>; Fri, 28 Dec 2018 09:29:12 +0100 (CET)
DKIM-Signature: v=1; a=rsa-sha1; c=relaxed/relaxed; s=k1; d=pno4l.us;
h=Mime-Version:Content-Type:Date:From:Reply-To:Subject:To:Message-ID; i=correspondence@pno4l.us;
bh=puFLYKbwBKaVLqEhFxPY9iKBwr8=;
b=M2+En279i3jzeel2yjFuMYM67WlcqVO4mGF5LxcAoxUOLUinZbG7sg/c+4Il0y9HFRzFOe2CyPY+
RwxJNvTl/HLvI3EVlKTwnDpzHTIyxX6pNd4P9833rQvWALoZeGiIzVeroJAlXDU+Azekx4mUWq+U
oJUw0+b3cYZL7GhK6DY=
DomainKey-Signature: a=rsa-sha1; c=nofws; q=dns; s=k1; d=pno4l.us;
b=tyjr0LJwEdOGjm0S0uTDEraP9at43nvB8Y0XddpJHXAZetruzRpv1qpvGh1NC5JLw7m1o7FIhaW4
DUUWah/cFLeuovZw5GYWlWbUNzR7OFY7C9He/eIs1XS4BpCkUlZF6df4ByrsZQXuUPrNv6PKM4hm
lVU5ti108Uw68oRO+O0=;
Mime-Version: 1.0
Content-Type: multipart/alternative; boundary="282af46ee223798e6a52057e6ac99541_2979_1c9"
Date: Fri, 28 Dec 2018 09:27:37 +0100
From: "Daily Pet Moments" <correspondence@pno4l.us>
Reply-To: "Daily Pet Moments" <assist@pno4l.us>
Subject: Receive the free, daily Pet Moments news.
To: <christian.gabriel@shortnote.de>
Message-ID: <r817bvvxlipv75a8-k8sskidfpj0f9ih2-2979-1c9@pno4l.us>
--282af46ee223798e6a52057e6ac99541_2979_1c9
Content-Type: text/plain;
Content-Transfer-Encoding: 8bit
Receive the free, daily Pet Moments news.
http://pno4l.us/Y_IyYGCo1GQAg5OMDAxivAwMGZIMDJdKUqIA_457_2979_a98e227c_0300
http://pno4l.us/E_EyYGCo1GQAg5OMDAxivAwMGZIMDAELG3cAAA_457_2979_1a5eb2f3_0300
A single survey is made of at least a sample (or full population in the case of a census), a method of data collection (e.g., a questionnaire) and individual questions or items that become data that can be analyzed statistically. A single survey may focus on different types of topics such as preferences (e.g., for a presidential candidate), opinions (e.g., should abortion be legal?), behavior (smoking and alcohol use), or factual information (e.g., income), depending on its purpose. Since survey research is almost always based on a sample of the population, the success of the research is dependent on the representativeness of the sample with respect to a target population of interest to the researcher. That target population can range from the general population of a given country to specific groups of people within that country, to a membership list of a professional organization, or list of students enrolled in a school system (see also sampling (statistics) and survey sampling). The persons replying to a survey are called respondents, and depending on the questions asked their answers may represent themselves as individuals, their households, employers, or other organization they represent.
Survey methodology as a scientific field seeks to identify principles about the sample design, data collection instruments, statistical adjustment of data, and data processing, and final data analysis that can create systematic and random survey errors. Survey errors are sometimes analyzed in connection with survey cost. Cost constraints are sometimes framed as improving quality within cost constraints, or alternatively, reducing costs for a fixed level of quality. Survey methodology is both a scientific field and a profession, meaning that some professionals in the field focus on survey errors empirically and others design surveys to reduce them. For survey designers, the task involves making a large set of decisions about thousands of individual features of a survey in order to improve it.
The most important methodological challenges of a survey methodologist include making decisions on how to:
Identify and select potential sample members.
Contact sampled individuals and collect data from those who are hard to reach (or reluctant to respond)
Evaluate and test questions.
Select the mode for posing questions and collecting responses.
Train and supervise interviewers (if they are involved).
data files for accuracy and internal consistency.
Adjust survey estimates to correct for identified errors.
Selecting samples
Main article: Survey sampling
The sample is chosen from the sampling frame, which consists of a list of all members of the population of interest. The goal of a survey is not to describe the sample, but the larger population. This generalizing ability is dependent on the representativeness of the sample, as stated above. Each member of the population is termed an element. There are frequent difficulties one encounters while choosing a representative sample. One common error that results is selection bias. Selection bias results when the procedures used to select a sample result in over representation or under representation of some significant aspect of the population. For instance, if the population of interest consists of 75% females, and 25% males, and the sample consists of 40% females and 60% males, females are under represented while males are overrepresented. In order to minimize selection biases, stratified random sampling is often used. This is when the population is divided into sub-populations called strata, and random samples are drawn from each of the strata, or elements are drawn for the sample on a proportional basis.
--282af46ee223798e6a52057e6ac99541_2979_1c9
Content-Type: text/html;
Content-Transfer-Encoding: 8bit
<html>
<head>
<title>Newsletter</title>
</head>
<body><a href="http://pno4l.us/Y_AyYGCo1GQAg5OMDAxivAwMGZIMDOcmfmkHAA_457_2979_bf368e3b_0300"><img src="http://pno4l.us/dd7517dfc361a54155.jpg" /><img height="1" src="http://www.pno4l.us/4_MyYGCo1GQAg5OMDAxivAwMGZIMDNv-X_8JAA_457_2979_a2dde02a_0300" width="1" /></a><br />
<br />
<center>
<div style="width:600px;">
<div style="font-size:24px;width:600px;text-align:center;"><a href="http://pno4l.us/Y_IyYGCo1GQAg5OMDAxivAwMGZIMDJdKUqIA_457_2979_a98e227c_0300" style="color:#c40006;"><b> Receive the free, daily Pet Moments news.</b></a></div>
<center><a href="http://pno4l.us/Y_IyYGCo1GQAg5OMDAxivAwMGZIMDJdKUqIA_457_2979_a98e227c_0300"><img src="http://pno4l.us/7d37c75314bd521c74.gif" style="border:8px #fe946b solid; " /></a></center>
</div>
<br />
<br />
<br />
<br />
<br />
<br />
<a href="http://pno4l.us/4_EyYGCo1GQAg5OMDAxivAwMGZIMDMldKWkA_457_2979_b417cdbd_0300"><img src="http://pno4l.us/8cfeea2471d572f094.jpg" /></a><br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<a href="http://pno4l.us/E_EyYGCo1GQAg5OMDAxivAwMGZIMDAELG3cAAA_457_2979_1a5eb2f3_0300"><img alt=" " src="http://pno4l.us/2a3a08220feac99b3a.jpg" /></a></center>
<p style="color:#ffffff;font-size:5px;">A single survey is made of at least a sample (or full population in the case of a census), a method of data collection (e.g., a questionnaire) and individual questions or items that become data that can be analyzed statistically. A single survey may focus on different types of topics such as preferences (e.g., for a presidential candidate), opinions (e.g., should abortion be legal?), behavior (smoking and alcohol use), or factual information (e.g., income), depending on its purpose. Since survey research is almost always based on a sample of the population, the success of the research is dependent on the representativeness of the sample with respect to a target population of interest to the researcher. That target population can range from the general population of a given country to specific groups of people within that country, to a membership list of a professional organization, or list of students enrolled in a school system (see also sampling (statistics) and survey sampling). The persons replying to a survey are called respondents, and depending on the questions asked their answers may represent themselves as individuals, their households, employers, or other organization they represent. Survey methodology as a scientific field seeks to identify principles about the sample design, data collection instruments, statistical adjustment of data, and data processing, and final data analysis that can create systematic and random survey errors. Survey errors are sometimes analyzed in connection with survey cost. Cost constraints are sometimes framed as improving quality within cost constraints, or alternatively, reducing costs for a fixed level of quality. Survey methodology is both a scientific field and a profession, meaning that some professionals in the field focus on survey errors empirically and others design surveys to reduce them. For survey designers, the task involves making a large set of decisions about thousands of individual features of a survey in order to improve it. The most important methodological challenges of a survey methodologist include making decisions on how to: Identify and select potential sample members. Contact sampled individuals and collect data from those who are hard to reach (or reluctant to respond) Evaluate and test questions. Select the mode for posing questions and collecting responses. Train and supervise interviewers (if they are involved). data files for accuracy and internal consistency. Adjust survey estimates to correct for identified errors. Selecting samples<a href="http://pno4l.us/Y_AyYGCo1GQAg5OMDAxivAwMGZIMDOcmfmkHAA_457_2979_bf368e3b_0300"><img src="http://pno4l.us/dd7517dfc361a54155.jpg" /><img height="1" src="http://www.pno4l.us/4_MyYGCo1GQAg5OMDAxivAwMGZIMDNv-X_8JAA_457_2979_a2dde02a_0300" width="1" /></a><br />
Main article: Survey sampling The sample is chosen from the sampling frame, which consists of a list of all members of the population of interest. The goal of a survey is not to describe the sample, but the larger population. This generalizing ability is dependent on the representativeness of the sample, as stated above. Each member of the population is termed an element. There are frequent difficulties one encounters while choosing a representative sample. One common error that results is selection bias. Selection bias results when the procedures used to select a sample result in over representation or under representation of some significant aspect of the population. For instance, if the population of interest consists of 75% females, and 25% males, and the sample consists of 40% females and 60% males, females are under represented while males are overrepresented. In order to minimize selection biases, stratified random sampling is often used. This is when the population is divided into sub-populations called strata, and random samples are drawn from each of the strata, or elements are drawn for the sample on a proportional basis.</p>
</body>
</html>
--282af46ee223798e6a52057e6ac99541_2979_1c9--
------------=_5C25DEDA.470BF99B--