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	<title>Norman Rogers</title>
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	<title>Norman Rogers</title>
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		<title>Climate Models and COVID-19 Models</title>
		<link>https://illinoisfamilyaction.org/2020/04/climate-models-and-covid-19-models/</link>
		
		<dc:creator><![CDATA[David E. Smith]]></dc:creator>
		<pubDate>Fri, 17 Apr 2020 12:00:19 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Computer models]]></category>
		<category><![CDATA[Coronavirus]]></category>
		<category><![CDATA[COVID–19]]></category>
		<category><![CDATA[Dr. Anthony Fauci]]></category>
		<category><![CDATA[Dr. Mehmet Oz]]></category>
		<category><![CDATA[hydroxychloroquine]]></category>
		<category><![CDATA[IHME model]]></category>
		<category><![CDATA[Norman Rogers]]></category>
		<category><![CDATA[Remdesivir]]></category>
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					<description><![CDATA[<p><em>Written by Norman Rogers</em></p>
<p>Computer models are seductive even though they are very often completely wrong. The more complicated they are the greater chance that they are wrong. Like children, they copy their parents &#8212; the model architects. Confirmation bias involves cherry picking facts to obtain a result consistent with preexisting beliefs. A complicated computer model with many degrees of freedom is a perfect environment for confirmation bias to have its way. The investigator usually will believe, or at least claim, that his model is objectively setup without bias entering into the effort.&#8230; <a href="https://illinoisfamilyaction.org/2020/04/climate-models-and-covid-19-models/" class="read-more">Continue Reading </a></p>]]></description>
		
		
		
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