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	<title>Comments on: Elizabeth Kolbert Dissects and Destroys SuperFreakonomics</title>
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		<title>By: Peter Max</title>
		<link>http://www.disinfo.com/2009/11/elizabeth-kolbert-dissects-and-destroys-superfreakonomics/comment-page-1/#comment-1888</link>
		<dc:creator>Peter Max</dc:creator>
		<pubDate>Wed, 11 Nov 2009 02:03:31 +0000</pubDate>
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		<description>The only academic field that&#039;s free of self-important specialist &quot;qualified&quot; interpretation is mathematics (including statistics). The only objective truths are those that can be mathematically delimited. Everything else is speculation and interpretation. The  &quot;truth value&quot; that can be assigned to a statement  is limited to what experts believe to be true and that can only be a linguistic consensus. Eventually this consensus will be available via search engines which assign a truth value to any statement based on statistical analysis. There is far more opinion-based science that&#039;s expressed as fact than there is statistical analysis presented as definitive knowledge. Hard science long ago rejected &quot;sociology&quot; but public relation firms regularly use statistical models to predict or even manipulate outcomes of mass-social events such as elections. For instance: how many times and at what time of day should ads be run to create a statistically verifiable change in public opinion?</description>
		<content:encoded><![CDATA[<p>The only academic field that&#39;s free of self-important specialist &#8220;qualified&#8221; interpretation is mathematics (including statistics). The only objective truths are those that can be mathematically delimited. Everything else is speculation and interpretation. The  &#8220;truth value&#8221; that can be assigned to a statement  is limited to what experts believe to be true and that can only be a linguistic consensus. Eventually this consensus will be available via search engines which assign a truth value to any statement based on statistical analysis. There is far more opinion-based science that&#39;s expressed as fact than there is statistical analysis presented as definitive knowledge. Hard science long ago rejected &#8220;sociology&#8221; but public relation firms regularly use statistical models to predict or even manipulate outcomes of mass-social events such as elections. For instance: how many times and at what time of day should ads be run to create a statistically verifiable change in public opinion?</p>
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