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	<title>The Corner Office &#187; John Sall</title>
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	<description>SAS executives on the larger issues that affect a global business</description>
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		<item>
		<title>Double Double Day</title>
		<link>http://blogs.sas.com/content/corneroffice/2011/01/20/double-double-day/</link>
		<comments>http://blogs.sas.com/content/corneroffice/2011/01/20/double-double-day/#comments</comments>
		<pubDate>Thu, 20 Jan 2011 13:53:00 +0000</pubDate>
		<dc:creator>John Sall</dc:creator>
				<category><![CDATA[Serendipity]]></category>
		<category><![CDATA[JMP]]></category>
		<category><![CDATA[SAS]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/blognormal/index.php?/archives/14-Double-Double-Day.html</guid>
		<description><![CDATA[Last year at this time, I wrote in celebration of a unique double: SAS' record revenues – the 34th straight year of growth, and in a recession, too – and being rated the No. 1 best workplace in the US. Would it be such a surprise if SAS repeated on [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Celebrate World Statistics Day</title>
		<link>http://blogs.sas.com/content/corneroffice/2010/10/20/celebrate-world-statistics-day/</link>
		<comments>http://blogs.sas.com/content/corneroffice/2010/10/20/celebrate-world-statistics-day/#comments</comments>
		<pubDate>Wed, 20 Oct 2010 08:30:00 +0000</pubDate>
		<dc:creator>John Sall</dc:creator>
				<category><![CDATA[Serendipity]]></category>
		<category><![CDATA[Statistics]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/blognormal/index.php?/archives/13-Celebrate-World-Statistics-Day.html</guid>
		<description><![CDATA[The United Nations General Assembly has designated today as the first-ever World Statistics Day: 20 10 2010. SAS was founded as a provider of statistical software, although we have broadened our products to the more general fields of analytics and business intelligence. Statistics remains at the heart of our mission. [...]]]></description>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>The Double Play</title>
		<link>http://blogs.sas.com/content/corneroffice/2010/01/21/the-double-play/</link>
		<comments>http://blogs.sas.com/content/corneroffice/2010/01/21/the-double-play/#comments</comments>
		<pubDate>Thu, 21 Jan 2010 13:51:55 +0000</pubDate>
		<dc:creator>John Sall</dc:creator>
				<category><![CDATA[Serendipity]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[JMP]]></category>
		<category><![CDATA[Opinion]]></category>
		<category><![CDATA[SAS]]></category>
		<category><![CDATA[Statistics]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/blognormal/index.php?/archives/12-The-Double-Play.html</guid>
		<description><![CDATA[Today SAS Institute had a huge double play of publicity. On the same day, we (1) learned that SAS was rated the No. 1 best place to work in the 2010 Fortune study and (2) announced that SAS achieved record revenues in 2009, despite the recession -- making it 34 [...]]]></description>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>JMP Is 20 Years Old</title>
		<link>http://blogs.sas.com/content/corneroffice/2009/10/02/jmp-is-20-years-old/</link>
		<comments>http://blogs.sas.com/content/corneroffice/2009/10/02/jmp-is-20-years-old/#comments</comments>
		<pubDate>Fri, 02 Oct 2009 14:22:09 +0000</pubDate>
		<dc:creator>John Sall</dc:creator>
				<category><![CDATA[Serendipity]]></category>
		<category><![CDATA[JMP]]></category>
		<category><![CDATA[SAS]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/blognormal/index.php?/archives/11-JMP-Is-20-Years-Old.html</guid>
		<description><![CDATA[Today is the 20th anniversary of JMP's first release, and I want to thank everyone who has helped to make JMP a success. JMP Version 1 shipped on October 5, 1989 -- or as we claimed at the time September 35 -- so that we could say we shipped in [...]]]></description>
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		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Was Goldilocks’ Negative R-Square Sickness Contrived?</title>
		<link>http://blogs.sas.com/content/corneroffice/2009/08/24/was-goldilocks%e2%80%99-negative-r-square-sickness-contrived/</link>
		<comments>http://blogs.sas.com/content/corneroffice/2009/08/24/was-goldilocks%e2%80%99-negative-r-square-sickness-contrived/#comments</comments>
		<pubDate>Mon, 24 Aug 2009 10:43:59 +0000</pubDate>
		<dc:creator>John Sall</dc:creator>
				<category><![CDATA[Serendipity]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[JMP]]></category>
		<category><![CDATA[Statistics]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/blognormal/index.php?/archives/10-Was-Goldilocks-Negative-R-Square-Sickness-Contrived.html</guid>
		<description><![CDATA[In my previous blog post about Goldilocks and the negative R-Square, I think I left you with an impression that regression fits are garbage unless you trim down your models. Basically, your attitude should be that of a sculptor: You cut away at the model until you have the best [...]]]></description>
		<wfw:commentRss>http://blogs.sas.com/content/corneroffice/2009/08/24/was-goldilocks%e2%80%99-negative-r-square-sickness-contrived/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Goldilocks and the Negative R-Square</title>
		<link>http://blogs.sas.com/content/corneroffice/2009/08/07/goldilocks-and-the-negative-r-square/</link>
		<comments>http://blogs.sas.com/content/corneroffice/2009/08/07/goldilocks-and-the-negative-r-square/#comments</comments>
		<pubDate>Fri, 07 Aug 2009 13:06:08 +0000</pubDate>
		<dc:creator>John Sall</dc:creator>
				<category><![CDATA[Serendipity]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[JMP]]></category>
		<category><![CDATA[Statistics]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/blognormal/index.php?/archives/9-Goldilocks-and-the-Negative-R-Square.html</guid>
		<description><![CDATA[Learning from data is good, so you would think that bigger studies to fit bigger models is always good. How could it ever be worse to learn more through data? It’s time for a story. Goldilocks found the home of the research bears and looked into the first lab and [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>What Is the Error if the Probability of Rain Is .5 and It Rains?</title>
		<link>http://blogs.sas.com/content/corneroffice/2009/07/31/what-is-the-error-if-the-probability-of-rain-is-5-and-it-rains/</link>
		<comments>http://blogs.sas.com/content/corneroffice/2009/07/31/what-is-the-error-if-the-probability-of-rain-is-5-and-it-rains/#comments</comments>
		<pubDate>Fri, 31 Jul 2009 09:31:45 +0000</pubDate>
		<dc:creator>John Sall</dc:creator>
				<category><![CDATA[Serendipity]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[JMP]]></category>
		<category><![CDATA[Statistics]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/blognormal/index.php?/archives/8-What-Is-the-Error-if-the-Probability-of-Rain-Is-.5-and-It-Rains.html</guid>
		<description><![CDATA[Suppose that a mortgage aggregator came to you and said that this triple-A assemblage of loans had one chance in a billion of losing money. Then you evaluated the package and found out that it really had a one-in-a-million probability of failing. The error in the probability estimate was just [...]]]></description>
		<wfw:commentRss>http://blogs.sas.com/content/corneroffice/2009/07/31/what-is-the-error-if-the-probability-of-rain-is-5-and-it-rains/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Welcome to the SAS Solar Farm, Gov. Perdue</title>
		<link>http://blogs.sas.com/content/corneroffice/2009/05/21/welcome-to-the-sas-solar-farm-gov-perdue/</link>
		<comments>http://blogs.sas.com/content/corneroffice/2009/05/21/welcome-to-the-sas-solar-farm-gov-perdue/#comments</comments>
		<pubDate>Thu, 21 May 2009 12:43:00 +0000</pubDate>
		<dc:creator>John Sall</dc:creator>
				<category><![CDATA[Serendipity]]></category>
		<category><![CDATA[Economics]]></category>
		<category><![CDATA[Environment]]></category>
		<category><![CDATA[Opinion]]></category>
		<category><![CDATA[SAS]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/blognormal/index.php?/archives/1-Welcome-to-the-SAS-Solar-Farm,-Gov.-Perdue.html</guid>
		<description><![CDATA[I had the privilege to lead off a press event this morning for North Carolina Gov. Bev Perdue at the SAS Solar Farm in Cary, NC. It was a beautiful photo event on a small hill overlooking the field. Here are my remarks: Good morning and welcome to the SAS [...]]]></description>
		<wfw:commentRss>http://blogs.sas.com/content/corneroffice/2009/05/21/welcome-to-the-sas-solar-farm-gov-perdue/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Carbon Supply and Demand</title>
		<link>http://blogs.sas.com/content/corneroffice/2009/04/27/carbon-supply-and-demand/</link>
		<comments>http://blogs.sas.com/content/corneroffice/2009/04/27/carbon-supply-and-demand/#comments</comments>
		<pubDate>Mon, 27 Apr 2009 10:23:00 +0000</pubDate>
		<dc:creator>John Sall</dc:creator>
				<category><![CDATA[Serendipity]]></category>
		<category><![CDATA[Economics]]></category>
		<category><![CDATA[Environment]]></category>
		<category><![CDATA[Opinion]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/blognormal/index.php?/archives/2-Carbon-Supply-and-Demand.html</guid>
		<description><![CDATA[In my Earth Day blog post last week, I introduced some claims that actions on price were better than actions on quantity in the carbon market. Now it is time to back up those claims. The main tool of economic thinking is supply and demand curves. Let's draw hypothetical supply [...]]]></description>
		<wfw:commentRss>http://blogs.sas.com/content/corneroffice/2009/04/27/carbon-supply-and-demand/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Earth Day P&#039;s and Q&#039;s</title>
		<link>http://blogs.sas.com/content/corneroffice/2009/04/22/earth-day-ps-and-qs/</link>
		<comments>http://blogs.sas.com/content/corneroffice/2009/04/22/earth-day-ps-and-qs/#comments</comments>
		<pubDate>Wed, 22 Apr 2009 09:15:00 +0000</pubDate>
		<dc:creator>John Sall</dc:creator>
				<category><![CDATA[Serendipity]]></category>
		<category><![CDATA[Economics]]></category>
		<category><![CDATA[Environment]]></category>
		<category><![CDATA[Opinion]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/blognormal/index.php?/archives/3-Earth-Day-Ps-and-Qs.html</guid>
		<description><![CDATA[I suggest you spend some time on Earth Day reading about environmental policy. First, you should get the most recent (April 19, 2009) issue of The New York Times Magazine and read the article "Why isn't the brain green?" by Jon Gertner. The most powerful force in environmental policy is [...]]]></description>
		<wfw:commentRss>http://blogs.sas.com/content/corneroffice/2009/04/22/earth-day-ps-and-qs/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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