<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
		>
<channel>
	<title>Comments on: The Geography of Job Loss</title>
	<atom:link href="http://flowingdata.com/2009/10/09/the-geography-of-job-loss/feed/" rel="self" type="application/rss+xml" />
	<link>http://flowingdata.com/2009/10/09/the-geography-of-job-loss/</link>
	<description>Strength in Numbers</description>
	<lastBuildDate>Sat, 11 Feb 2012 07:35:20 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.3.1</generator>
	<item>
		<title>By: Pat</title>
		<link>http://flowingdata.com/2009/10/09/the-geography-of-job-loss/#comment-34811</link>
		<dc:creator>Pat</dc:creator>
		<pubDate>Fri, 16 Oct 2009 04:55:22 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=3320#comment-34811</guid>
		<description>The first comment hits my complaint. Tufte calls it the fallacy of the dollar bill -- using area to depict a one-dimensional value. Still a haunting graphic when viewed in diameters. I live in Michigan so I am acutely aware of our leadership role in unemployment.</description>
		<content:encoded><![CDATA[<p>The first comment hits my complaint. Tufte calls it the fallacy of the dollar bill &#8212; using area to depict a one-dimensional value. Still a haunting graphic when viewed in diameters. I live in Michigan so I am acutely aware of our leadership role in unemployment.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: &#8220;The Geography Of Jobs&#8221; &#124; Larry Ferlazzo's Websites of the Day...</title>
		<link>http://flowingdata.com/2009/10/09/the-geography-of-job-loss/#comment-34695</link>
		<dc:creator>&#8220;The Geography Of Jobs&#8221; &#124; Larry Ferlazzo's Websites of the Day...</dc:creator>
		<pubDate>Sat, 10 Oct 2009 11:42:14 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=3320#comment-34695</guid>
		<description>[...] for Flowing Data for the tip.  addthis_url = [...]</description>
		<content:encoded><![CDATA[<p>[...] for Flowing Data for the tip.  addthis_url = [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Peter</title>
		<link>http://flowingdata.com/2009/10/09/the-geography-of-job-loss/#comment-34692</link>
		<dc:creator>Peter</dc:creator>
		<pubDate>Sat, 10 Oct 2009 00:57:25 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=3320#comment-34692</guid>
		<description>These style graphs often annoy me because they don&#039;t take into account the local population size.  Of course LA, Chicago, and NYC lost more jobs than Detroit, they are several times larger (none however are approaching the 25% unemployment of Detroit).  This figure doesn&#039;t really given anyone an idea of where people are losing jobs, so much as where most people live.</description>
		<content:encoded><![CDATA[<p>These style graphs often annoy me because they don&#8217;t take into account the local population size.  Of course LA, Chicago, and NYC lost more jobs than Detroit, they are several times larger (none however are approaching the 25% unemployment of Detroit).  This figure doesn&#8217;t really given anyone an idea of where people are losing jobs, so much as where most people live.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Nathan Yau</title>
		<link>http://flowingdata.com/2009/10/09/the-geography-of-job-loss/#comment-34688</link>
		<dc:creator>Nathan Yau</dc:creator>
		<pubDate>Fri, 09 Oct 2009 21:25:44 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=3320#comment-34688</guid>
		<description>shoot, you&#039;re right, i was too hasty in my post. they&#039;re scaling diameter to show gain and loss when they should be scaling area. tsk.</description>
		<content:encoded><![CDATA[<p>shoot, you&#8217;re right, i was too hasty in my post. they&#8217;re scaling diameter to show gain and loss when they should be scaling area. tsk.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Shawn Shafer</title>
		<link>http://flowingdata.com/2009/10/09/the-geography-of-job-loss/#comment-34687</link>
		<dc:creator>Shawn Shafer</dc:creator>
		<pubDate>Fri, 09 Oct 2009 19:00:23 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=3320#comment-34687</guid>
		<description>There&#039;s a fundamental problem in how the affected population is represented in these circles. If you take the legend as an example, the diameter of the 10,000 person size circle is maybe 1/8th (conservatively) the diameter of the 100,000 person size circle. If that is the case, the actual area of the 100,000 person circle is 64 times as large as the 10,000 person circle, far overstating the difference in population sizes. To accurately show the difference of a factor of 10, the diameter of a should be 3.162 (the square root of 10) times larger than the smaller circle.</description>
		<content:encoded><![CDATA[<p>There&#8217;s a fundamental problem in how the affected population is represented in these circles. If you take the legend as an example, the diameter of the 10,000 person size circle is maybe 1/8th (conservatively) the diameter of the 100,000 person size circle. If that is the case, the actual area of the 100,000 person circle is 64 times as large as the 10,000 person circle, far overstating the difference in population sizes. To accurately show the difference of a factor of 10, the diameter of a should be 3.162 (the square root of 10) times larger than the smaller circle.</p>
]]></content:encoded>
	</item>
</channel>
</rss>

