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	<title>Comments on: Is Jeff Bridges most likely to win best actor?</title>
	<atom:link href="http://flowingdata.com/2010/03/07/is-jeff-bridges-most-likely-to-win-best-actor/feed/" rel="self" type="application/rss+xml" />
	<link>http://flowingdata.com/2010/03/07/is-jeff-bridges-most-likely-to-win-best-actor/</link>
	<description>Strength in Numbers</description>
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		<title>By: Is Jeff Bridges most likely to win best actor? &#171; f.majakovskij</title>
		<link>http://flowingdata.com/2010/03/07/is-jeff-bridges-most-likely-to-win-best-actor/#comment-40222</link>
		<dc:creator>Is Jeff Bridges most likely to win best actor? &#171; f.majakovskij</dc:creator>
		<pubDate>Sat, 13 Mar 2010 12:02:33 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=5911#comment-40222</guid>
		<description>[...] Is Jeff Bridges most likely to win best&#160;actor?    via flowingdata.com [...]</description>
		<content:encoded><![CDATA[<p>[...] Is Jeff Bridges most likely to win best&nbsp;actor?    via flowingdata.com [...]</p>
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		<title>By: tgroleau</title>
		<link>http://flowingdata.com/2010/03/07/is-jeff-bridges-most-likely-to-win-best-actor/#comment-39852</link>
		<dc:creator>tgroleau</dc:creator>
		<pubDate>Sun, 07 Mar 2010 22:04:30 +0000</pubDate>
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		<description>Matthew,

I think I reached your conclusion through a different path.  As a univariate prediction model, the theory isn&#039;t bad. In bivariate regression a 34% r-squared is decent.  Sure, 66% of the outcome variability is explained by something else but you can&#039;t cover the 66% by a single variable.  All you&#039;ve got is that one of the 5 or so nominees who did NOT have the most nominations won.

We could build a better model with more variables (exact number of nominees each year and the total number of prior nominations for each), but 34% isn&#039;t bad for a single variable.

After trying to write that as clearly as I could, I think your conditional probability approach is cleaner (and easier to explain to my students).</description>
		<content:encoded><![CDATA[<p>Matthew,</p>
<p>I think I reached your conclusion through a different path.  As a univariate prediction model, the theory isn&#8217;t bad. In bivariate regression a 34% r-squared is decent.  Sure, 66% of the outcome variability is explained by something else but you can&#8217;t cover the 66% by a single variable.  All you&#8217;ve got is that one of the 5 or so nominees who did NOT have the most nominations won.</p>
<p>We could build a better model with more variables (exact number of nominees each year and the total number of prior nominations for each), but 34% isn&#8217;t bad for a single variable.</p>
<p>After trying to write that as clearly as I could, I think your conditional probability approach is cleaner (and easier to explain to my students).</p>
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		<title>By: Paul Ehrenreich</title>
		<link>http://flowingdata.com/2010/03/07/is-jeff-bridges-most-likely-to-win-best-actor/#comment-39840</link>
		<dc:creator>Paul Ehrenreich</dc:creator>
		<pubDate>Sun, 07 Mar 2010 16:00:02 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=5911#comment-39840</guid>
		<description>I voted for the Jeff Bridges...he is &quot;The Dude&quot; for crying out loud!</description>
		<content:encoded><![CDATA[<p>I voted for the Jeff Bridges&#8230;he is &#8220;The Dude&#8221; for crying out loud!</p>
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		<title>By: Matthew</title>
		<link>http://flowingdata.com/2010/03/07/is-jeff-bridges-most-likely-to-win-best-actor/#comment-39839</link>
		<dc:creator>Matthew</dc:creator>
		<pubDate>Sun, 07 Mar 2010 15:16:48 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=5911#comment-39839</guid>
		<description>As always, it&#039;s a nice visualization, but in this case I think it fails to communicate a key piece of information: the fact that in most years, there have been five nominees.  So the probability of winning is about 1/5.  But the chart indicates that the probability of winning conditional on having the most nominations in that year is 1/3; we should therefore consider this to be a piece of information in Jeff Bridges&#039;s favor.  The relationship is clearly not as strong as suggested in the CNN piece, but it&#039;s there.</description>
		<content:encoded><![CDATA[<p>As always, it&#8217;s a nice visualization, but in this case I think it fails to communicate a key piece of information: the fact that in most years, there have been five nominees.  So the probability of winning is about 1/5.  But the chart indicates that the probability of winning conditional on having the most nominations in that year is 1/3; we should therefore consider this to be a piece of information in Jeff Bridges&#8217;s favor.  The relationship is clearly not as strong as suggested in the CNN piece, but it&#8217;s there.</p>
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		<title>By: Nathan Yau</title>
		<link>http://flowingdata.com/2010/03/07/is-jeff-bridges-most-likely-to-win-best-actor/#comment-39837</link>
		<dc:creator>Nathan Yau</dc:creator>
		<pubDate>Sun, 07 Mar 2010 14:38:58 +0000</pubDate>
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		<description>@Tenzil - sure, that could be another way of doing it.</description>
		<content:encoded><![CDATA[<p>@Tenzil &#8211; sure, that could be another way of doing it.</p>
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		<title>By: Tenzil</title>
		<link>http://flowingdata.com/2010/03/07/is-jeff-bridges-most-likely-to-win-best-actor/#comment-39835</link>
		<dc:creator>Tenzil</dc:creator>
		<pubDate>Sun, 07 Mar 2010 13:29:06 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=5911#comment-39835</guid>
		<description>Should the bars show the winner&#039;s previous nomination count, less the count of the most-nominated (or next-most nominated, in 10 cases) contender?</description>
		<content:encoded><![CDATA[<p>Should the bars show the winner&#8217;s previous nomination count, less the count of the most-nominated (or next-most nominated, in 10 cases) contender?</p>
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		<title>By: Jim</title>
		<link>http://flowingdata.com/2010/03/07/is-jeff-bridges-most-likely-to-win-best-actor/#comment-39833</link>
		<dc:creator>Jim</dc:creator>
		<pubDate>Sun, 07 Mar 2010 12:11:43 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=5911#comment-39833</guid>
		<description>Whoops! I just reread the graphic and realized you already did this. The sentences at the top distracted me. 
Well done!
Jim</description>
		<content:encoded><![CDATA[<p>Whoops! I just reread the graphic and realized you already did this. The sentences at the top distracted me.<br />
Well done!<br />
Jim</p>
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		<title>By: Jim</title>
		<link>http://flowingdata.com/2010/03/07/is-jeff-bridges-most-likely-to-win-best-actor/#comment-39832</link>
		<dc:creator>Jim</dc:creator>
		<pubDate>Sun, 07 Mar 2010 12:10:05 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=5911#comment-39832</guid>
		<description>Nathan,
Great question, but I read the theory and story a little differently. To me, I thought author was referring primarily to the total number of nominations received during their career. Although, she was not always clear about this. I wonder how looking at the total number of nominations received over time would change your results. 
Jim</description>
		<content:encoded><![CDATA[<p>Nathan,<br />
Great question, but I read the theory and story a little differently. To me, I thought author was referring primarily to the total number of nominations received during their career. Although, she was not always clear about this. I wonder how looking at the total number of nominations received over time would change your results.<br />
Jim</p>
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