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	<title>p-value &#8211; Greg Laden&#039;s Blog</title>
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		<title>Falsehood: Correlation Implies/Does Not Imply Causality</title>
		<link>https://gregladen.com/blog/2017/10/16/falsehood-correlation-impliesdoes-not-imply-causality/</link>
					<comments>https://gregladen.com/blog/2017/10/16/falsehood-correlation-impliesdoes-not-imply-causality/#comments</comments>
		
		<dc:creator><![CDATA[Greg Laden]]></dc:creator>
		<pubDate>Mon, 16 Oct 2017 15:08:23 +0000</pubDate>
				<category><![CDATA[Falsehoods and Skepticism]]></category>
		<category><![CDATA[correlation]]></category>
		<category><![CDATA[falsehood]]></category>
		<category><![CDATA[p-value]]></category>
		<category><![CDATA[statistics]]></category>
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					<description><![CDATA[As is the case with any good falsehoods, one can never really be sure what the falsehood may actually be. In this case, there are two falsehoods: 1) When we see a statistical correlation between two measurements or observations, we can not assume that there is a causal link from one to the other. This &#8230; <a href="https://gregladen.com/blog/2017/10/16/falsehood-correlation-impliesdoes-not-imply-causality/" class="more-link">Continue reading <span class="screen-reader-text">Falsehood: Correlation Implies/Does Not Imply Causality</span> <span class="meta-nav">&#8594;</span></a>]]></description>
		
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