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	<title>Comments on: MPs get &#8220;Statistics for Dummies&#8221;</title>
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	<link>http://www.utterzebu.com/blog/2010/01/18/mps-get-statistics-for-dummies/</link>
	<description>Lies, deception, bullshit. It&#039;s everywhere. We&#039;ve had enough. It&#039;s time to fight back!</description>
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		<title>By: URS</title>
		<link>http://www.utterzebu.com/blog/2010/01/18/mps-get-statistics-for-dummies/comment-page-1/#comment-470</link>
		<dc:creator>URS</dc:creator>
		<pubDate>Mon, 18 Jan 2010 18:31:21 +0000</pubDate>
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		<description>Statistics is a science. There are lots of ways of calculating averages. In the famous dispute over pay in a government department, for some quite-impossible-to-discern reason the ONS used a method that minimised the gender pay gap, and Harriet Harman used one that showed it more clearly. Of course you can&#039;t expect the ONS to recognise that their method is unsuited to a situation that is distorted by outliers -- or could you expect professional statisticians to manage that?  

Did making the ONS more independent make them more honest, or more dependent on producing the figures the great leader demands?</description>
		<content:encoded><![CDATA[<p>Statistics is a science. There are lots of ways of calculating averages. In the famous dispute over pay in a government department, for some quite-impossible-to-discern reason the ONS used a method that minimised the gender pay gap, and Harriet Harman used one that showed it more clearly. Of course you can&#8217;t expect the ONS to recognise that their method is unsuited to a situation that is distorted by outliers &#8212; or could you expect professional statisticians to manage that?  </p>
<p>Did making the ONS more independent make them more honest, or more dependent on producing the figures the great leader demands?</p>
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