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	<title>Comments on: The Logic of Causal Conclusions: How we know that fire burns, fertilizer helps plants grow, and vaccines prevent disease</title>
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	<link>http://icbseverywhere.com/blog/2014/10/the-logic-of-causal-conclusions/</link>
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		<title>By: Barbara Drescher</title>
		<link>http://icbseverywhere.com/blog/2014/10/the-logic-of-causal-conclusions/comment-page-1/#comment-48869</link>
		<dc:creator><![CDATA[Barbara Drescher]]></dc:creator>
		<pubDate>Mon, 06 Oct 2014 17:37:06 +0000</pubDate>
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		<description><![CDATA[I discussed the issue of lack of association (correlation) in the piece and the bulk of the piece is not about &quot;conditions&quot;, but about requirements for causal inference. Did you stop reading 1/3rd of the way through?

I&#039;m not sure what you mean by &quot;the validity of the suspected cause-effect&quot;; I assume you are referring to the validity of a causal claim? Although I&#039;ve touched on validity (without naming it) here by discussing issues of confounding, it is not important to this explanation. This is necessarily a simplification of a very narrow and specific issue. I may discuss validity at a future date, although I certainly would not attempt to apply it to causal inference in a blog post. There are some very thick books written on the subject that take time and study to understand.]]></description>
		<content:encoded><![CDATA[<p>I discussed the issue of lack of association (correlation) in the piece and the bulk of the piece is not about &#8220;conditions&#8221;, but about requirements for causal inference. Did you stop reading 1/3rd of the way through?</p>
<p>I&#8217;m not sure what you mean by &#8220;the validity of the suspected cause-effect&#8221;; I assume you are referring to the validity of a causal claim? Although I&#8217;ve touched on validity (without naming it) here by discussing issues of confounding, it is not important to this explanation. This is necessarily a simplification of a very narrow and specific issue. I may discuss validity at a future date, although I certainly would not attempt to apply it to causal inference in a blog post. There are some very thick books written on the subject that take time and study to understand.</p>
]]></content:encoded>
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		<title>By: Robert bramel</title>
		<link>http://icbseverywhere.com/blog/2014/10/the-logic-of-causal-conclusions/comment-page-1/#comment-48867</link>
		<dc:creator><![CDATA[Robert bramel]]></dc:creator>
		<pubDate>Mon, 06 Oct 2014 16:39:36 +0000</pubDate>
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		<description><![CDATA[Great article!

I&#039;m not sure of the relevance of &quot;causal conditions&quot;; these are descriptors of different causal items but not, as you point out, defining. Whether these conditions occur sheds no additional light on the validity of the suspected cause-effect.

In my experience the most ignored element when association is elevated to causality is the importance of any occurrence of non-association. In medical papers it is standard procedure to go from association to the ambiguous &quot;risk factor&quot; to causation without ever discussing evidence that failed to show association. Showing non-association is vastly more powerful than showing association. All 300 years of demonstrations of Newton&#039;s laws of Gravity became suspect with just one orbit (Merccury) that did not show sufficient association between theory and data.]]></description>
		<content:encoded><![CDATA[<p>Great article!</p>
<p>I&#8217;m not sure of the relevance of &#8220;causal conditions&#8221;; these are descriptors of different causal items but not, as you point out, defining. Whether these conditions occur sheds no additional light on the validity of the suspected cause-effect.</p>
<p>In my experience the most ignored element when association is elevated to causality is the importance of any occurrence of non-association. In medical papers it is standard procedure to go from association to the ambiguous &#8220;risk factor&#8221; to causation without ever discussing evidence that failed to show association. Showing non-association is vastly more powerful than showing association. All 300 years of demonstrations of Newton&#8217;s laws of Gravity became suspect with just one orbit (Merccury) that did not show sufficient association between theory and data.</p>
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		<title>By: Mike Walker</title>
		<link>http://icbseverywhere.com/blog/2014/10/the-logic-of-causal-conclusions/comment-page-1/#comment-48678</link>
		<dc:creator><![CDATA[Mike Walker]]></dc:creator>
		<pubDate>Fri, 03 Oct 2014 19:22:16 +0000</pubDate>
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		<description><![CDATA[Hello,

Thank you for this.  I teach an undergraduate methods course and I would like to use this post in my class. Please do not take it down anytime soon!

Mike]]></description>
		<content:encoded><![CDATA[<p>Hello,</p>
<p>Thank you for this.  I teach an undergraduate methods course and I would like to use this post in my class. Please do not take it down anytime soon!</p>
<p>Mike</p>
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		<title>By: The Logic of Causal Conclusions: How we know that fire burns, fertilizer helps plants grow, and vaccines prevent disease – ICBS Everywhere &#124; The &#60;spb&#62;</title>
		<link>http://icbseverywhere.com/blog/2014/10/the-logic-of-causal-conclusions/comment-page-1/#comment-48547</link>
		<dc:creator><![CDATA[The Logic of Causal Conclusions: How we know that fire burns, fertilizer helps plants grow, and vaccines prevent disease – ICBS Everywhere &#124; The &#60;spb&#62;]]></dc:creator>
		<pubDate>Thu, 02 Oct 2014 02:05:51 +0000</pubDate>
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		<description><![CDATA[[&#8230;] The Logic of Causal Conclusions: How we know that fire burns, fertilizer helps plants grow, and vacc&#8230;. [&#8230;]]]></description>
		<content:encoded><![CDATA[<p>[&#8230;] The Logic of Causal Conclusions: How we know that fire burns, fertilizer helps plants grow, and vacc&#8230;. [&#8230;]</p>
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