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	<title>Comments on: Evaluating probabilistic predictions</title>
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	<link>http://blog.oddhead.com/2006/12/26/evaluating-probabilistic-predictions/</link>
	<description>Musings of a computer scientist and Yahoo on prediction markets, gambling, and estimating the odds of everything</description>
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		<title>By: Pete Hopeland</title>
		<link>http://blog.oddhead.com/2006/12/26/evaluating-probabilistic-predictions/comment-page-1/#comment-88</link>
		<dc:creator>Pete Hopeland</dc:creator>
		<pubDate>Mon, 03 Sep 2007 17:12:33 +0000</pubDate>
		<guid isPermaLink="false">http://blog.oddhead.com/2006/12/26/evaluating-probabilistic-predictions/#comment-88</guid>
		<description>This is a common pitfall in the use of statistical data.  Most people do not understand this.  As a result, many professionls including advertisers and politicians use this loophole in twisting  facts.</description>
		<content:encoded><![CDATA[<p>This is a common pitfall in the use of statistical data.  Most people do not understand this.  As a result, many professionls including advertisers and politicians use this loophole in twisting  facts.</p>
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		<title>By: Midas Oracle .ORG &#187; Blog Archive &#187; Evaluating probabilistic predictions &#8212; David Pennock Edition</title>
		<link>http://blog.oddhead.com/2006/12/26/evaluating-probabilistic-predictions/comment-page-1/#comment-87</link>
		<dc:creator>Midas Oracle .ORG &#187; Blog Archive &#187; Evaluating probabilistic predictions &#8212; David Pennock Edition</dc:creator>
		<pubDate>Tue, 20 Feb 2007 22:51:14 +0000</pubDate>
		<guid isPermaLink="false">http://blog.oddhead.com/2006/12/26/evaluating-probabilistic-predictions/#comment-87</guid>
		<description>[...] Evaluating probabilistic predictions &#8212; David Pennock Edition  David Pennock: [&#8230;] So what is the “right” way to evaluate probabilistic predictions? There is no single absolute best way, though several tests are appropriate, and probably can be considered stronger tests than the calibration test. In our paper “Does Money Matter?” we use four evaluation metrics: [...]</description>
		<content:encoded><![CDATA[<p>[...] Evaluating probabilistic predictions &#8212; David Pennock Edition  David Pennock: [&#8230;] So what is the “right” way to evaluate probabilistic predictions? There is no single absolute best way, though several tests are appropriate, and probably can be considered stronger tests than the calibration test. In our paper “Does Money Matter?” we use four evaluation metrics: [...]</p>
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		<title>By: Midas Oracle .ORG &#187; Blog Archive &#187; How to publish a high-quality prediction market blog</title>
		<link>http://blog.oddhead.com/2006/12/26/evaluating-probabilistic-predictions/comment-page-1/#comment-86</link>
		<dc:creator>Midas Oracle .ORG &#187; Blog Archive &#187; How to publish a high-quality prediction market blog</dc:creator>
		<pubDate>Mon, 29 Jan 2007 14:37:41 +0000</pubDate>
		<guid isPermaLink="false">http://blog.oddhead.com/2006/12/26/evaluating-probabilistic-predictions/#comment-86</guid>
		<description>[...] #12. State that evaluating probabilistic predictions is very tricky &#8212;in case readers missed it the first time. [...]</description>
		<content:encoded><![CDATA[<p>[...] #12. State that evaluating probabilistic predictions is very tricky &#8212;in case readers missed it the first time. [...]</p>
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		<title>By: Midas Oracle .ORG &#187; Blog Archive &#187; Reality Check on TradeSports-InTrade John Delaney&#8217;s Exil Statement</title>
		<link>http://blog.oddhead.com/2006/12/26/evaluating-probabilistic-predictions/comment-page-1/#comment-85</link>
		<dc:creator>Midas Oracle .ORG &#187; Blog Archive &#187; Reality Check on TradeSports-InTrade John Delaney&#8217;s Exil Statement</dc:creator>
		<pubDate>Mon, 22 Jan 2007 14:32:19 +0000</pubDate>
		<guid isPermaLink="false">http://blog.oddhead.com/2006/12/26/evaluating-probabilistic-predictions/#comment-85</guid>
		<description>[...] #3. &#8220;implying infallibility of PM&#8217;s&#8221; - Nobody in the industry is claiming that. These naysayers are the leftists who had embraced prediction markets before the 2006 US elections and who are now turning against them. [...]</description>
		<content:encoded><![CDATA[<p>[...] #3. &#8220;implying infallibility of PM&#8217;s&#8221; &#8211; Nobody in the industry is claiming that. These naysayers are the leftists who had embraced prediction markets before the 2006 US elections and who are now turning against them. [...]</p>
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		<title>By: David Pennock</title>
		<link>http://blog.oddhead.com/2006/12/26/evaluating-probabilistic-predictions/comment-page-1/#comment-84</link>
		<dc:creator>David Pennock</dc:creator>
		<pubDate>Wed, 17 Jan 2007 21:46:25 +0000</pubDate>
		<guid isPermaLink="false">http://blog.oddhead.com/2006/12/26/evaluating-probabilistic-predictions/#comment-84</guid>
		<description>Yes, you&#039;re right: 2 &amp; 3 will always rank predictors equivalently. (We used 3 because it&#039;s the one used by the &lt;a href=&quot;http://probabilitysports.com&quot; rel=&quot;nofollow&quot;&gt;ProbabilitySports&lt;/a&gt; contest that we were comparing against.)</description>
		<content:encoded><![CDATA[<p>Yes, you&#8217;re right: 2 &#038; 3 will always rank predictors equivalently. (We used 3 because it&#8217;s the one used by the <a href="http://probabilitysports.com" rel="nofollow">ProbabilitySports</a> contest that we were comparing against.)</p>
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		<title>By: Foolish Jordan</title>
		<link>http://blog.oddhead.com/2006/12/26/evaluating-probabilistic-predictions/comment-page-1/#comment-83</link>
		<dc:creator>Foolish Jordan</dc:creator>
		<pubDate>Wed, 17 Jan 2007 20:44:45 +0000</pubDate>
		<guid isPermaLink="false">http://blog.oddhead.com/2006/12/26/evaluating-probabilistic-predictions/#comment-83</guid>
		<description>Aren&#039;t metrics 2 and 3 mathematically equivalent?  That is, can you find two sets of predictions x_1 .. x_n vs. y_1 ... y_n where #2 prefers x_i and #3 prefers y_i?</description>
		<content:encoded><![CDATA[<p>Aren&#8217;t metrics 2 and 3 mathematically equivalent?  That is, can you find two sets of predictions x_1 .. x_n vs. y_1 &#8230; y_n where #2 prefers x_i and #3 prefers y_i?</p>
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		<title>By: Oddhead Blog: Prediction Markets, Gambling, Electronic Commerce, Artificial Intelligence: David Pennock: Yahoo! Research</title>
		<link>http://blog.oddhead.com/2006/12/26/evaluating-probabilistic-predictions/comment-page-1/#comment-82</link>
		<dc:creator>Oddhead Blog: Prediction Markets, Gambling, Electronic Commerce, Artificial Intelligence: David Pennock: Yahoo! Research</dc:creator>
		<pubDate>Fri, 05 Jan 2007 00:58:59 +0000</pubDate>
		<guid isPermaLink="false">http://blog.oddhead.com/2006/12/26/evaluating-probabilistic-predictions/#comment-82</guid>
		<description>[...] Evaluating probabilistic predictions [...]</description>
		<content:encoded><![CDATA[<p>[...] Evaluating probabilistic predictions [...]</p>
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