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	<title>Comments on: Loving Longoria</title>
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	<description>Daily baseball statistical analysis and commentary</description>
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		<title>By: CaR</title>
		<link>http://www.fangraphs.com/blogs/index.php/loving-longoria/#comment-75809</link>
		<dc:creator>CaR</dc:creator>
		<pubDate>Thu, 14 May 2009 04:28:59 +0000</pubDate>
		<guid isPermaLink="false">http://www.fangraphs.com/blogs/?p=4800#comment-75809</guid>
		<description>I think Dave is wrong about this one.  What would be a key word to have inserted into his post would be &quot;potentially&quot;.  He didn&#039;t, and defended his logic in his typical manner.  Whether Longoria proves to be the best, second best, 14th best, is a question for time to answer.  From appearances, it seems that a great deal of value from a &quot;wins&quot; perspective is derived from somewhat dubious, and definitely incomplete defensive data.  I don&#039;t buy it, and there has yet to be a real time correlation done with defensive metrics to convince me that they are more than hypothetical.  

This, coupled with the hyper-attention given to defense, which in my opinion, has an underlying motive of proping up replacement-level, or AAAA roster building.  Measuring every players&#039; contributions equally defensively and offensively is biased, and doesn&#039;t leave enough room in value for guys that hit incrementally above the norm.  

Snarfy, you are a funny cat, but its way too easy to ferret out the lookout landing nerd who is so desperate for even the slightest bit of positive social interaction.  Sad.</description>
		<content:encoded><![CDATA[<p>I think Dave is wrong about this one.  What would be a key word to have inserted into his post would be &#8220;potentially&#8221;.  He didn&#8217;t, and defended his logic in his typical manner.  Whether Longoria proves to be the best, second best, 14th best, is a question for time to answer.  From appearances, it seems that a great deal of value from a &#8220;wins&#8221; perspective is derived from somewhat dubious, and definitely incomplete defensive data.  I don&#8217;t buy it, and there has yet to be a real time correlation done with defensive metrics to convince me that they are more than hypothetical.  </p>
<p>This, coupled with the hyper-attention given to defense, which in my opinion, has an underlying motive of proping up replacement-level, or AAAA roster building.  Measuring every players&#8217; contributions equally defensively and offensively is biased, and doesn&#8217;t leave enough room in value for guys that hit incrementally above the norm.  </p>
<p>Snarfy, you are a funny cat, but its way too easy to ferret out the lookout landing nerd who is so desperate for even the slightest bit of positive social interaction.  Sad.</p>
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		<title>By: Wally</title>
		<link>http://www.fangraphs.com/blogs/index.php/loving-longoria/#comment-75790</link>
		<dc:creator>Wally</dc:creator>
		<pubDate>Thu, 14 May 2009 01:43:47 +0000</pubDate>
		<guid isPermaLink="false">http://www.fangraphs.com/blogs/?p=4800#comment-75790</guid>
		<description>Eh, don&#039;t worry about the attack.  It shows more about you than me, though the fact that you caught yourself so quickly is a good thing.  Its pretty easy to just be an a-hole on the internet.

Anyway...

What we are trying to do here is not to predict Longoria&#039;s next UZR, we&#039;re trying to figure out just how good he is.  So, if in one season he&#039;s +20, then he regresses to the mean, maybe to +10, he&#039;s still a +15 fielder.  And at that point we&#039;re fairly confident the +15 is repressentative of his skill level.  That&#039;s the basic reason why we need to keep that +20.  Its part of the information that helps us figure out how good he is.  What&#039;s happening here is we&#039;re trying to answer two fundimentally different questions.  You are asking, &quot;how well does the +20 season predict the next season?&quot;  I&#039;m asking, &quot;how well does a +20 season repressent the player&#039;s true talent?&quot;

Then, why might we keep Andruw Jones&#039; 5 +20, and Utley&#039;s 2?  Because our question slightly different still.  There I was wondering how well any +20 season predicts the talent of a player.  The fact that about 1/3 (going off memory here) of our + 20 seasons by UZR/150 in 130+ games, is actually a good thing.  That means the best players are repeating those seasons, so to take them out is skewing the sample towards the guys that actually just had a lucky season.

The basic idea here is how you specifically frame your question changes how you analyze the data greatly.  There are a lot of ways to put these numbers together, and you could do everything right mathematically, but be trying to answer the wrong question and its all worthless.  On the flips side, you can put them together in 100 different ways and ask 100 different questions, and be right, everytime.  Any, this is a very big problem in my field were researchers analyze the data in all the right ways, but then go on to make conclusions that over reach that analysis, or are even entirely different from that analysis.

So, what you&#039;re doing answers one question.  But, I&#039;m not particularly interested in that question, nor do I think it is the question that is relavent to this situation.  Regardless, I think the final nail is in the coffin here.  I will be interested to see how UZR plays out, and its ability to predict a player&#039;s true skill, as we get more seasons worth of data.

Been fun and educational, see you in the next thread.</description>
		<content:encoded><![CDATA[<p>Eh, don&#8217;t worry about the attack.  It shows more about you than me, though the fact that you caught yourself so quickly is a good thing.  Its pretty easy to just be an a-hole on the internet.</p>
<p>Anyway&#8230;</p>
<p>What we are trying to do here is not to predict Longoria&#8217;s next UZR, we&#8217;re trying to figure out just how good he is.  So, if in one season he&#8217;s +20, then he regresses to the mean, maybe to +10, he&#8217;s still a +15 fielder.  And at that point we&#8217;re fairly confident the +15 is repressentative of his skill level.  That&#8217;s the basic reason why we need to keep that +20.  Its part of the information that helps us figure out how good he is.  What&#8217;s happening here is we&#8217;re trying to answer two fundimentally different questions.  You are asking, &#8220;how well does the +20 season predict the next season?&#8221;  I&#8217;m asking, &#8220;how well does a +20 season repressent the player&#8217;s true talent?&#8221;</p>
<p>Then, why might we keep Andruw Jones&#8217; 5 +20, and Utley&#8217;s 2?  Because our question slightly different still.  There I was wondering how well any +20 season predicts the talent of a player.  The fact that about 1/3 (going off memory here) of our + 20 seasons by UZR/150 in 130+ games, is actually a good thing.  That means the best players are repeating those seasons, so to take them out is skewing the sample towards the guys that actually just had a lucky season.</p>
<p>The basic idea here is how you specifically frame your question changes how you analyze the data greatly.  There are a lot of ways to put these numbers together, and you could do everything right mathematically, but be trying to answer the wrong question and its all worthless.  On the flips side, you can put them together in 100 different ways and ask 100 different questions, and be right, everytime.  Any, this is a very big problem in my field were researchers analyze the data in all the right ways, but then go on to make conclusions that over reach that analysis, or are even entirely different from that analysis.</p>
<p>So, what you&#8217;re doing answers one question.  But, I&#8217;m not particularly interested in that question, nor do I think it is the question that is relavent to this situation.  Regardless, I think the final nail is in the coffin here.  I will be interested to see how UZR plays out, and its ability to predict a player&#8217;s true skill, as we get more seasons worth of data.</p>
<p>Been fun and educational, see you in the next thread.</p>
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		<title>By: Kincaid</title>
		<link>http://www.fangraphs.com/blogs/index.php/loving-longoria/#comment-75764</link>
		<dc:creator>Kincaid</dc:creator>
		<pubDate>Wed, 13 May 2009 22:15:14 +0000</pubDate>
		<guid isPermaLink="false">http://www.fangraphs.com/blogs/?p=4800#comment-75764</guid>
		<description>I need to apologize in advance for that post.  There was no reason for me to personally attack you.  I let my frustrations get the better of me, and I apologize.</description>
		<content:encoded><![CDATA[<p>I need to apologize in advance for that post.  There was no reason for me to personally attack you.  I let my frustrations get the better of me, and I apologize.</p>
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		<title>By: Kincaid</title>
		<link>http://www.fangraphs.com/blogs/index.php/loving-longoria/#comment-75760</link>
		<dc:creator>Kincaid</dc:creator>
		<pubDate>Wed, 13 May 2009 21:57:19 +0000</pubDate>
		<guid isPermaLink="false">http://www.fangraphs.com/blogs/?p=4800#comment-75760</guid>
		<description>We are trying to figure out how reflective one year of 20+ run defense is of a players true talent.  To do that, you have to address the question of how well one such season can project a players true talent or predict other performances.  That&#039;s a relatively basic concept.  As are concepts like not including the predictor sample in your results or looking at aggregates of several players to avoid the variations you might get from only looking at one at a time.  If you can honestly not understand these basic concepts, I&#039;m sorry.  If such a basic and obvious statistical approach as I used doesn&#039;t make sense to you, sorry.  It&#039;s a very common method in trying to answer the type of question we are asking.  Taking statistics classes and learning some formulas, unfortunately, does not always teach you how to use that knowledge to formulate your own viable statistical approach in the field.  I wish it did, so I didn&#039;t have to try to explain things to people who want to stick their heads in the sand and multiply Andruw Jones&#039; career by 5 or tie the variability of an aggregate sample to the variability of one of its components or argue on one hand that you can&#039;t count data too far from your predictor sample for much of anything because of changing talent levels and then on the other that you have to (until it doesn&#039;t support his results, in which case the old flaws are again prevalent) without any understanding of what really makes sense. 

I could look at fielders a season between 0 and 1 run and see what that season says about a players talent level.  In the available sample, they regress very slightly to the mean.  Players with a season between 4 and 5 regress a little bit more - about 2 runs.  Players between 9 and 10 runs regress about 4.4 runs.  Players between 13 and 17, about 5.5 runs.  When you only have one season of UZR, you have to regress to the mean in considering the players true talent.  The further from 0 the single season of UZR is, the more runs will come off with regression.  When the predictor sample rises above 20, then sample bias kicks in pretty hard in selecting primarily outliers, and regression is even stronger.  But apparently you don&#039;t get that (you demonstrated in another post that you have no clue how to regress to the mean or even what it means).  I&#039;m sorry.  Fortunately, as Longoria continues to play for the next few years, this aspect of analyzing his UZR ratings will become less important, and your pseudo-statistical approach will be less detrimental to your results.</description>
		<content:encoded><![CDATA[<p>We are trying to figure out how reflective one year of 20+ run defense is of a players true talent.  To do that, you have to address the question of how well one such season can project a players true talent or predict other performances.  That&#8217;s a relatively basic concept.  As are concepts like not including the predictor sample in your results or looking at aggregates of several players to avoid the variations you might get from only looking at one at a time.  If you can honestly not understand these basic concepts, I&#8217;m sorry.  If such a basic and obvious statistical approach as I used doesn&#8217;t make sense to you, sorry.  It&#8217;s a very common method in trying to answer the type of question we are asking.  Taking statistics classes and learning some formulas, unfortunately, does not always teach you how to use that knowledge to formulate your own viable statistical approach in the field.  I wish it did, so I didn&#8217;t have to try to explain things to people who want to stick their heads in the sand and multiply Andruw Jones&#8217; career by 5 or tie the variability of an aggregate sample to the variability of one of its components or argue on one hand that you can&#8217;t count data too far from your predictor sample for much of anything because of changing talent levels and then on the other that you have to (until it doesn&#8217;t support his results, in which case the old flaws are again prevalent) without any understanding of what really makes sense. </p>
<p>I could look at fielders a season between 0 and 1 run and see what that season says about a players talent level.  In the available sample, they regress very slightly to the mean.  Players with a season between 4 and 5 regress a little bit more &#8211; about 2 runs.  Players between 9 and 10 runs regress about 4.4 runs.  Players between 13 and 17, about 5.5 runs.  When you only have one season of UZR, you have to regress to the mean in considering the players true talent.  The further from 0 the single season of UZR is, the more runs will come off with regression.  When the predictor sample rises above 20, then sample bias kicks in pretty hard in selecting primarily outliers, and regression is even stronger.  But apparently you don&#8217;t get that (you demonstrated in another post that you have no clue how to regress to the mean or even what it means).  I&#8217;m sorry.  Fortunately, as Longoria continues to play for the next few years, this aspect of analyzing his UZR ratings will become less important, and your pseudo-statistical approach will be less detrimental to your results.</p>
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		<title>By: Wally</title>
		<link>http://www.fangraphs.com/blogs/index.php/loving-longoria/#comment-75755</link>
		<dc:creator>Wally</dc:creator>
		<pubDate>Wed, 13 May 2009 21:03:28 +0000</pubDate>
		<guid isPermaLink="false">http://www.fangraphs.com/blogs/?p=4800#comment-75755</guid>
		<description>&quot;If we want to know how well a 15+ run season reflects a player’s value, then we look at everyone who had a season like that, and then we look at what they did outside of that season. If we want to look at how well a season between 13 and 17 runs reflects a player’s value, we do the same. It’s the same no matter what predictor sample you are looking at.&quot;

I&#039;ve explained the problems with that at least twice now, and they remain the same for +15, or 13-17 or -2...or any other random numbers between -20 and 20 you want to pick.  We aren&#039;t asking the question of &quot;what are the career averages of players with a +20 season when not including that year?&quot;  I can&#039;t say it any more clearly than that.  We are asking &quot;how representative of a players true skill is a single +20 season, specifically going forward for a young player?&quot;  When doing that, we don&#039;t want to throw out ANY season, because ALL seasons are needed to establish a player&#039;s true talent.  You can keep repeating yourself, but it isn&#039;t going to change that.

&quot;The whole reason you look at only the next season is to avoid what you are talking about with Rolen (who is not retired, by the way). This was your method. Is the only reason you wanted me to use it so that you could poke holes in what you knew was flawed?&quot;

If you think that&#039;s what I wanted you to do, you missed the point (and no, only looking at the next season isn&#039;t telling for reasons I&#039;ve already stated).  I did an admittedly simplistic analysis at how close those +20 seasons where to career averages and stated some problems with that (and continue to do so), in an honest discussion about how to approach this problem.  You then modified my simplistic analysis to throw out the +20 season (and repeated +20 seasons from a single player, which again changed the question we&#039;re asking, but fine, we&#039;ll go with that).  I&#039;ve stated problems with that, the main one being that, that season counts in establishing a player&#039;s true talent.  I then discussed what information we need to gather to really be able to answer this question (aging patterns), which neither of us is likely to do, and we probably don&#039;t have the available data to do it anyway. 

&quot;Now you’re going back into the subjective looks at individual players and ignoring the aggregate results. Weren’t you shunning that method earlier?&quot;

What I did was go player-by-player through our entire sample of +20 fielders to illuminate problems with the way we&#039;re doing this analysis (our sample wasn&#039;t indicative of the player we asking the question about), and why we need aging patterns.  For example, Vizquel putting up a +20 season at the age of 40, doesn&#039;t tell us much about how likely a 23 year old is in repeating a +20 season, or what his true talent level is.  Think of the hitting equivalent.  Does Luis Gonzalez posting a .453 wOBA, career best by about .050, at the age of 33, and how well he was able to repeat that, give us much information about how well a 23 year old with a .453 wOBA will repeat that?  Aren&#039;t their projected career paths much different, and thus the likely hood of each of them repeating it very different?  Now fielding might &quot;age&quot; very differently than hitting, but we don&#039;t really know yet, do we?

Now, its been a fun discussion, and through it I think we&#039;ve learned first hand the limitations with this fielding data, but we&#039;re going in circles.  We&#039;re now stuck repeating ourselves (ok, really you are, and my response to that same stance isn&#039;t going to change) over leaving out this one season.  If you&#039;re not willing to accept the problems with that approach, and move on, I suppose this discussion is over.  Regardless, we don&#039;t really have the data to get around these problems, especially given the simplistic analyses we&#039;re willing to do, and its very possible we don&#039;t have enough historical data on UZR to do the required analysis anyway.

Lastly, to reiterate my final basic point: The young, all-around talented players on our list of +20 fielders were able to maintain these very high levels in UZR (Crawford and Jones, which I would consider better comps to Longoria than the likes of Vizquel or Cabrera.), so I suspect Longoria is a better bet to repeat high level UZR than our sample&#039;s average.  You want to slam me for subjective looks? Fine. However, in the absence of conclusive quantitative data, its absolutely proper to make informed and rational decisions or predictions on subjective information (or do you think scouting doesn&#039;t have its place?).  I may have &quot;shunned&quot; subjective analysis somewhere (ref?), but at times it has its place and in others it doesn&#039;t.</description>
		<content:encoded><![CDATA[<p>&#8220;If we want to know how well a 15+ run season reflects a player’s value, then we look at everyone who had a season like that, and then we look at what they did outside of that season. If we want to look at how well a season between 13 and 17 runs reflects a player’s value, we do the same. It’s the same no matter what predictor sample you are looking at.&#8221;</p>
<p>I&#8217;ve explained the problems with that at least twice now, and they remain the same for +15, or 13-17 or -2&#8230;or any other random numbers between -20 and 20 you want to pick.  We aren&#8217;t asking the question of &#8220;what are the career averages of players with a +20 season when not including that year?&#8221;  I can&#8217;t say it any more clearly than that.  We are asking &#8220;how representative of a players true skill is a single +20 season, specifically going forward for a young player?&#8221;  When doing that, we don&#8217;t want to throw out ANY season, because ALL seasons are needed to establish a player&#8217;s true talent.  You can keep repeating yourself, but it isn&#8217;t going to change that.</p>
<p>&#8220;The whole reason you look at only the next season is to avoid what you are talking about with Rolen (who is not retired, by the way). This was your method. Is the only reason you wanted me to use it so that you could poke holes in what you knew was flawed?&#8221;</p>
<p>If you think that&#8217;s what I wanted you to do, you missed the point (and no, only looking at the next season isn&#8217;t telling for reasons I&#8217;ve already stated).  I did an admittedly simplistic analysis at how close those +20 seasons where to career averages and stated some problems with that (and continue to do so), in an honest discussion about how to approach this problem.  You then modified my simplistic analysis to throw out the +20 season (and repeated +20 seasons from a single player, which again changed the question we&#8217;re asking, but fine, we&#8217;ll go with that).  I&#8217;ve stated problems with that, the main one being that, that season counts in establishing a player&#8217;s true talent.  I then discussed what information we need to gather to really be able to answer this question (aging patterns), which neither of us is likely to do, and we probably don&#8217;t have the available data to do it anyway. </p>
<p>&#8220;Now you’re going back into the subjective looks at individual players and ignoring the aggregate results. Weren’t you shunning that method earlier?&#8221;</p>
<p>What I did was go player-by-player through our entire sample of +20 fielders to illuminate problems with the way we&#8217;re doing this analysis (our sample wasn&#8217;t indicative of the player we asking the question about), and why we need aging patterns.  For example, Vizquel putting up a +20 season at the age of 40, doesn&#8217;t tell us much about how likely a 23 year old is in repeating a +20 season, or what his true talent level is.  Think of the hitting equivalent.  Does Luis Gonzalez posting a .453 wOBA, career best by about .050, at the age of 33, and how well he was able to repeat that, give us much information about how well a 23 year old with a .453 wOBA will repeat that?  Aren&#8217;t their projected career paths much different, and thus the likely hood of each of them repeating it very different?  Now fielding might &#8220;age&#8221; very differently than hitting, but we don&#8217;t really know yet, do we?</p>
<p>Now, its been a fun discussion, and through it I think we&#8217;ve learned first hand the limitations with this fielding data, but we&#8217;re going in circles.  We&#8217;re now stuck repeating ourselves (ok, really you are, and my response to that same stance isn&#8217;t going to change) over leaving out this one season.  If you&#8217;re not willing to accept the problems with that approach, and move on, I suppose this discussion is over.  Regardless, we don&#8217;t really have the data to get around these problems, especially given the simplistic analyses we&#8217;re willing to do, and its very possible we don&#8217;t have enough historical data on UZR to do the required analysis anyway.</p>
<p>Lastly, to reiterate my final basic point: The young, all-around talented players on our list of +20 fielders were able to maintain these very high levels in UZR (Crawford and Jones, which I would consider better comps to Longoria than the likes of Vizquel or Cabrera.), so I suspect Longoria is a better bet to repeat high level UZR than our sample&#8217;s average.  You want to slam me for subjective looks? Fine. However, in the absence of conclusive quantitative data, its absolutely proper to make informed and rational decisions or predictions on subjective information (or do you think scouting doesn&#8217;t have its place?).  I may have &#8220;shunned&#8221; subjective analysis somewhere (ref?), but at times it has its place and in others it doesn&#8217;t.</p>
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		<title>By: Rationale</title>
		<link>http://www.fangraphs.com/blogs/index.php/loving-longoria/#comment-75715</link>
		<dc:creator>Rationale</dc:creator>
		<pubDate>Wed, 13 May 2009 16:42:28 +0000</pubDate>
		<guid isPermaLink="false">http://www.fangraphs.com/blogs/?p=4800#comment-75715</guid>
		<description>Well, we can all agree at least Longoria isn&#039;t abusing PEDs like Pujols and A-Rod.  Oh, and can&#039;t forget Manny, too!</description>
		<content:encoded><![CDATA[<p>Well, we can all agree at least Longoria isn&#8217;t abusing PEDs like Pujols and A-Rod.  Oh, and can&#8217;t forget Manny, too!</p>
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		<title>By: Snarfy</title>
		<link>http://www.fangraphs.com/blogs/index.php/loving-longoria/#comment-75714</link>
		<dc:creator>Snarfy</dc:creator>
		<pubDate>Wed, 13 May 2009 16:39:55 +0000</pubDate>
		<guid isPermaLink="false">http://www.fangraphs.com/blogs/?p=4800#comment-75714</guid>
		<description>What Baker-blog tough guy are you, CaR?  You couldn&#039;t hold Dave Cameron&#039;s jock.

PS - Keep the irresponsible posts to yourself, please.  People come here to become more educated on baseball, not your opinions.</description>
		<content:encoded><![CDATA[<p>What Baker-blog tough guy are you, CaR?  You couldn&#8217;t hold Dave Cameron&#8217;s jock.</p>
<p>PS &#8211; Keep the irresponsible posts to yourself, please.  People come here to become more educated on baseball, not your opinions.</p>
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		<title>By: vivaelpujols</title>
		<link>http://www.fangraphs.com/blogs/index.php/loving-longoria/#comment-75657</link>
		<dc:creator>vivaelpujols</dc:creator>
		<pubDate>Wed, 13 May 2009 05:32:46 +0000</pubDate>
		<guid isPermaLink="false">http://www.fangraphs.com/blogs/?p=4800#comment-75657</guid>
		<description>why... no one said anything bad</description>
		<content:encoded><![CDATA[<p>why&#8230; no one said anything bad</p>
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		<title>By: Shmup-o</title>
		<link>http://www.fangraphs.com/blogs/index.php/loving-longoria/#comment-75648</link>
		<dc:creator>Shmup-o</dc:creator>
		<pubDate>Wed, 13 May 2009 02:44:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.fangraphs.com/blogs/?p=4800#comment-75648</guid>
		<description>Another reason to just remove the comments section from every web site in existence.</description>
		<content:encoded><![CDATA[<p>Another reason to just remove the comments section from every web site in existence.</p>
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		<title>By: Kincaid</title>
		<link>http://www.fangraphs.com/blogs/index.php/loving-longoria/#comment-75635</link>
		<dc:creator>Kincaid</dc:creator>
		<pubDate>Wed, 13 May 2009 01:00:37 +0000</pubDate>
		<guid isPermaLink="false">http://www.fangraphs.com/blogs/?p=4800#comment-75635</guid>
		<description>If we want to know how well a 15+ run season reflects a player&#039;s value, then we look at everyone who had a season like that, and then we look at what they did outside of that season.  If we want to look at how well  a season between 13 and 17 runs reflects a player&#039;s value, we do the same.  It&#039;s the same no matter what predictor sample you are looking at.  We&#039;re not simply throwing out everyone&#039;s top season.  We&#039;re doing one specific thing:  looking at our predictor sample, and seeing how well that projects the rest of the sample.  We&#039;re not looking at one player with UZRs of 10, 15, and 20 and trying to figure out what his talent level is.  If we look at everyone who is +20 one season, and they overwhelmingly end up at 15 or worse, then we can reason that most of the +20 seasons are probably skewed high and not reflective of the true talent level.  If we look at the +15 seasons and find that we get a lot of +10s and +20s in our results, then we can say that the +15 seasons are more likely to be around the player&#039;s actual talent level.

The whole reason you look at only the next season is to avoid what you are talking about with Rolen (who is not retired, by the way).  This was your method.  Is the only reason you wanted me to use it so that you could poke holes in what you knew was flawed?

Now you&#039;re going back into the subjective looks at individual players and ignoring the aggregate results.  Weren&#039;t you shunning that method earlier?</description>
		<content:encoded><![CDATA[<p>If we want to know how well a 15+ run season reflects a player&#8217;s value, then we look at everyone who had a season like that, and then we look at what they did outside of that season.  If we want to look at how well  a season between 13 and 17 runs reflects a player&#8217;s value, we do the same.  It&#8217;s the same no matter what predictor sample you are looking at.  We&#8217;re not simply throwing out everyone&#8217;s top season.  We&#8217;re doing one specific thing:  looking at our predictor sample, and seeing how well that projects the rest of the sample.  We&#8217;re not looking at one player with UZRs of 10, 15, and 20 and trying to figure out what his talent level is.  If we look at everyone who is +20 one season, and they overwhelmingly end up at 15 or worse, then we can reason that most of the +20 seasons are probably skewed high and not reflective of the true talent level.  If we look at the +15 seasons and find that we get a lot of +10s and +20s in our results, then we can say that the +15 seasons are more likely to be around the player&#8217;s actual talent level.</p>
<p>The whole reason you look at only the next season is to avoid what you are talking about with Rolen (who is not retired, by the way).  This was your method.  Is the only reason you wanted me to use it so that you could poke holes in what you knew was flawed?</p>
<p>Now you&#8217;re going back into the subjective looks at individual players and ignoring the aggregate results.  Weren&#8217;t you shunning that method earlier?</p>
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