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	<title>Comments on: The Flaw of Averages</title>
	<atom:link href="http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/feed/" rel="self" type="application/rss+xml" />
	<link>http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/</link>
	<description>A slice of lime in the soda</description>
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		<title>By: mediocristanite</title>
		<link>http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/comment-page-1/#comment-8307</link>
		<dc:creator>mediocristanite</dc:creator>
		<pubDate>Mon, 02 Nov 2009 01:33:47 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/#comment-8307</guid>
		<description>Sam Savage&#039;s book is great. I work with a bunch of very intelligent, highly educated people in a very quantitative field (investment management) - and yet, for all the sophisticated analysis we apply - the flaw of averages lurks everywhere and crops up in the most seemingly benign fashion and impacts decision-making all the time. Fixating on &#039;black swans&#039; is all the rage these days, but let&#039;s not forget to tie our shoe-laces.</description>
		<content:encoded><![CDATA[<p>Sam Savage&#8217;s book is great. I work with a bunch of very intelligent, highly educated people in a very quantitative field (investment management) &#8211; and yet, for all the sophisticated analysis we apply &#8211; the flaw of averages lurks everywhere and crops up in the most seemingly benign fashion and impacts decision-making all the time. Fixating on &#8216;black swans&#8217; is all the rage these days, but let&#8217;s not forget to tie our shoe-laces.</p>
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		<title>By: Stan Lucas</title>
		<link>http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/comment-page-1/#comment-6841</link>
		<dc:creator>Stan Lucas</dc:creator>
		<pubDate>Wed, 16 Sep 2009 07:06:47 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/#comment-6841</guid>
		<description>Well, isn&#039;t the hedging of site A with site B just something a good oil executive could tell you? Since site A is so potentially unstable, just put a minimal amount of cash into it. If it goes great you still benefit, if it goes badly, site B compensates.

 Ross Perot keeps most of his investments in safe investments, any risky investment he wants to get involved in, he uses cash from the dividends of his safe investments for.</description>
		<content:encoded><![CDATA[<p>Well, isn&#8217;t the hedging of site A with site B just something a good oil executive could tell you? Since site A is so potentially unstable, just put a minimal amount of cash into it. If it goes great you still benefit, if it goes badly, site B compensates.</p>
<p> Ross Perot keeps most of his investments in safe investments, any risky investment he wants to get involved in, he uses cash from the dividends of his safe investments for.</p>
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		<title>By: drewbie</title>
		<link>http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/comment-page-1/#comment-5937</link>
		<dc:creator>drewbie</dc:creator>
		<pubDate>Tue, 25 Aug 2009 20:18:54 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/#comment-5937</guid>
		<description>I think an area outside of business decisions that could benifit from a distribution analysis instead of a mean would be life expectancy.  It&#039;s often pointed out that the US ranks 50th in life expectancy, but the CIA factbook this number comes from doesn&#039;t list a variance, and it&#039;s accurate to a hundreth of a year (which is ~3 days). While the algebra behind this average is certainly calculated accurate, using such a precise number for so broad a group is rediculous.  Comparing the distributions (along with statements like &quot;78% of the population will survive past 50&quot;) would be much more educational.</description>
		<content:encoded><![CDATA[<p>I think an area outside of business decisions that could benifit from a distribution analysis instead of a mean would be life expectancy.  It&#8217;s often pointed out that the US ranks 50th in life expectancy, but the CIA factbook this number comes from doesn&#8217;t list a variance, and it&#8217;s accurate to a hundreth of a year (which is ~3 days). While the algebra behind this average is certainly calculated accurate, using such a precise number for so broad a group is rediculous.  Comparing the distributions (along with statements like &#8220;78% of the population will survive past 50&#8243;) would be much more educational.</p>
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		<title>By: Sam Savage</title>
		<link>http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/comment-page-1/#comment-5905</link>
		<dc:creator>Sam Savage</dc:creator>
		<pubDate>Mon, 24 Aug 2009 20:47:30 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/#comment-5905</guid>
		<description>As to angels on the head of a pin, the example I use is discussions of how to ride a bicycle. This is absurd. You don&#039;t learn to ride a bike by talking about it but by riding one. That&#039;s why we need models; to express things that are otherwise meaningless, and connect the seats of our intellects to the seats of our pants.</description>
		<content:encoded><![CDATA[<p>As to angels on the head of a pin, the example I use is discussions of how to ride a bicycle. This is absurd. You don&#8217;t learn to ride a bike by talking about it but by riding one. That&#8217;s why we need models; to express things that are otherwise meaningless, and connect the seats of our intellects to the seats of our pants.</p>
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		<title>By: Francine McKenna</title>
		<link>http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/comment-page-1/#comment-5885</link>
		<dc:creator>Francine McKenna</dc:creator>
		<pubDate>Mon, 24 Aug 2009 14:12:04 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/#comment-5885</guid>
		<description>I find these types of discussions extremely frustrating because I am a manager.  They are a sort of quant porn, if you ask me. 

(P.S. Felix, I don&#039;t read management books either.)  

The probability (but not the value, and don&#039;t get me started on expected value) of events that are the result of human behavior are impossible, in my mind, to pin down with mathematical precision, Freakonomics not withstanding.  I read this and think, &quot;angels dancing on the head of a pin...&quot;  Which reminds me of one of my favorite jokes:  
How do you make God laugh?  
Tell him your plans.</description>
		<content:encoded><![CDATA[<p>I find these types of discussions extremely frustrating because I am a manager.  They are a sort of quant porn, if you ask me. </p>
<p>(P.S. Felix, I don&#8217;t read management books either.)  </p>
<p>The probability (but not the value, and don&#8217;t get me started on expected value) of events that are the result of human behavior are impossible, in my mind, to pin down with mathematical precision, Freakonomics not withstanding.  I read this and think, &#8220;angels dancing on the head of a pin&#8230;&#8221;  Which reminds me of one of my favorite jokes:<br />
How do you make God laugh?<br />
Tell him your plans.</p>
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		<title>By: Sam Savage</title>
		<link>http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/comment-page-1/#comment-5871</link>
		<dc:creator>Sam Savage</dc:creator>
		<pubDate>Sun, 23 Aug 2009 23:07:18 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/#comment-5871</guid>
		<description>I have not only heard of variance, skewness, and kurtosis, but refer to them as RED WORDS. I define these as terms left over from the steam era that cannot be uttered in a singles bar. They are often used by statisticians to blow smoke. Instead I recommend using the entire distribution, stored in something called a Distribution String or DIST. It consists of 1000 Monte Carlo trials stuffed, like a genie in a bottle, into the single cell of a spreadsheet. Every time you make a change something, all thousand trials rip through your model like bullets through a machine gun. Check out the demo models at ProbabilityManagement.org.</description>
		<content:encoded><![CDATA[<p>I have not only heard of variance, skewness, and kurtosis, but refer to them as RED WORDS. I define these as terms left over from the steam era that cannot be uttered in a singles bar. They are often used by statisticians to blow smoke. Instead I recommend using the entire distribution, stored in something called a Distribution String or DIST. It consists of 1000 Monte Carlo trials stuffed, like a genie in a bottle, into the single cell of a spreadsheet. Every time you make a change something, all thousand trials rip through your model like bullets through a machine gun. Check out the demo models at ProbabilityManagement.org.</p>
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		<title>By: Ash</title>
		<link>http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/comment-page-1/#comment-5863</link>
		<dc:creator>Ash</dc:creator>
		<pubDate>Sun, 23 Aug 2009 19:10:09 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/#comment-5863</guid>
		<description>Average is a measure of just the central tendency. There are other measures which summarize a distribution. Variance, skewness, and kurtosis are the measures of other characteristics..... have you heard of them Savage? Who looks at only the averages and takes decisions btw?</description>
		<content:encoded><![CDATA[<p>Average is a measure of just the central tendency. There are other measures which summarize a distribution. Variance, skewness, and kurtosis are the measures of other characteristics&#8230;.. have you heard of them Savage? Who looks at only the averages and takes decisions btw?</p>
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		<title>By: Eric Dewey</title>
		<link>http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/comment-page-1/#comment-5860</link>
		<dc:creator>Eric Dewey</dc:creator>
		<pubDate>Sun, 23 Aug 2009 17:33:25 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/#comment-5860</guid>
		<description>Yes, and yes. This post demonstrates the power of being able to think about mathematics rather than arithmetic. 

I am not a mathematician, and do not fully understand the technicalities of the arguments. Does this make me more or less like the standard board member? Because of the cogent thinking and writing, I am able to understand and appreciate both Felix&#039; critique of Savage&#039;s book, and Savage&#039;s well-done response. 

Were I a board member faced with the decision outlined in Savage&#039;s example, I would be more comfortable making the decision to hedge site A with site B, simply because I would feel far more informed about the actual risks presented, as well as infinitely more confident in the management team&#039;s ability to manage those risks...</description>
		<content:encoded><![CDATA[<p>Yes, and yes. This post demonstrates the power of being able to think about mathematics rather than arithmetic. </p>
<p>I am not a mathematician, and do not fully understand the technicalities of the arguments. Does this make me more or less like the standard board member? Because of the cogent thinking and writing, I am able to understand and appreciate both Felix&#8217; critique of Savage&#8217;s book, and Savage&#8217;s well-done response. </p>
<p>Were I a board member faced with the decision outlined in Savage&#8217;s example, I would be more comfortable making the decision to hedge site A with site B, simply because I would feel far more informed about the actual risks presented, as well as infinitely more confident in the management team&#8217;s ability to manage those risks&#8230;</p>
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		<title>By: MattF</title>
		<link>http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/comment-page-1/#comment-5856</link>
		<dc:creator>MattF</dc:creator>
		<pubDate>Sun, 23 Aug 2009 12:23:12 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/#comment-5856</guid>
		<description>As far as I can tell, the mean has one useful property-- given a set of measurements of some quantity, the mean &lt;i&gt;of that set of measurements&lt;/i&gt; is the unbiased estimate of the quantity&#039;s actual value. For anything else, &lt;i&gt;caveat computor&lt;/i&gt;.</description>
		<content:encoded><![CDATA[<p>As far as I can tell, the mean has one useful property&#8211; given a set of measurements of some quantity, the mean of that set of measurements is the unbiased estimate of the quantity&#8217;s actual value. For anything else, caveat computor.</p>
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		<title>By: ColdMountain</title>
		<link>http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/comment-page-1/#comment-5853</link>
		<dc:creator>ColdMountain</dc:creator>
		<pubDate>Sun, 23 Aug 2009 11:52:20 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/#comment-5853</guid>
		<description>Savage would be the first to tell you that his tool is primarily for closed systems dice, cards, etc…, not open systems like the market.  It’s a very clever tool for closed systems.  But it can be adapted for the fat tails most of us have known about for around half a century.  Taleb seems to have just discovered it.  Another feature of open systems as many including Tavakoli pointed out in her credit derivatives book, is that none of the models capture risks that only management can deal with.  Information asymmetry is just one example.</description>
		<content:encoded><![CDATA[<p>Savage would be the first to tell you that his tool is primarily for closed systems dice, cards, etc…, not open systems like the market.  It’s a very clever tool for closed systems.  But it can be adapted for the fat tails most of us have known about for around half a century.  Taleb seems to have just discovered it.  Another feature of open systems as many including Tavakoli pointed out in her credit derivatives book, is that none of the models capture risks that only management can deal with.  Information asymmetry is just one example.</p>
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		<title>By: coverpunch</title>
		<link>http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/comment-page-1/#comment-5852</link>
		<dc:creator>coverpunch</dc:creator>
		<pubDate>Sun, 23 Aug 2009 07:27:05 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/#comment-5852</guid>
		<description>http://en.wikipedia.org/wiki/Variance

&quot;Whereas the mean is a way to describe the location of a distribution, the variance is a way to capture its scale or degree of being spread out.&quot;</description>
		<content:encoded><![CDATA[<p><a href='http://en.wikipedia.org/wiki/Variance'>http://en.wikipedia.org/wiki/Variance</a></p>
<p>&#8220;Whereas the mean is a way to describe the location of a distribution, the variance is a way to capture its scale or degree of being spread out.&#8221;</p>
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		<title>By: Sprizouse</title>
		<link>http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/comment-page-1/#comment-5850</link>
		<dc:creator>Sprizouse</dc:creator>
		<pubDate>Sun, 23 Aug 2009 04:45:28 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.reuters.com/felix-salmon/2009/08/23/the-flaw-of-averages/#comment-5850</guid>
		<description>The Halo Effect by Rosenzweig is a great management book that&#039;s not really a management book either. If you haven&#039;t already read it, give it a go. If you like Taleb&#039;s stuff and this book you&#039;ll probably like The Halo Effect.</description>
		<content:encoded><![CDATA[<p>The Halo Effect by Rosenzweig is a great management book that&#8217;s not really a management book either. If you haven&#8217;t already read it, give it a go. If you like Taleb&#8217;s stuff and this book you&#8217;ll probably like The Halo Effect.</p>
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