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	<title>Comments on: Statistical inefficiency = bias, or, Increasing efficiency will reduce bias (on average), or, There is no bias-variance tradeoff</title>
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	<link>http://www.overcomingbias.com/2007/04/statistical_ine.html</link>
	<description>Overcoming Bias is economist Robin Hanson’s blog, on honesty, signaling, disagreement, forecasting, and the far future.</description>
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		<title>By: Eliezer Yudkowsky</title>
		<link>http://www.overcomingbias.com/2007/04/statistical_ine.html#comment-420235</link>
		<dc:creator>Eliezer Yudkowsky</dc:creator>
		<pubDate>Sat, 14 Apr 2007 02:15:10 +0000</pubDate>
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		<description>I&#039;d put it this way: there&#039;s a tradeoff between &lt;i&gt;statistical&lt;/i&gt; bias and &lt;i&gt;statistical&lt;/i&gt; variance, but not &quot;bias&quot; the way we instinctively think of bias, as a difference between a specific estimate and reality.  This also relates to the classical vs. Bayesian dispute over whether to care about the average properties of an estimator, or the particular estimate we got.
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		<content:encoded><![CDATA[<p>I&#8217;d put it this way: there&#8217;s a tradeoff between <i>statistical</i> bias and <i>statistical</i> variance, but not &#8220;bias&#8221; the way we instinctively think of bias, as a difference between a specific estimate and reality.  This also relates to the classical vs. Bayesian dispute over whether to care about the average properties of an estimator, or the particular estimate we got.</p>
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