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	<title>Comments on: Nudging Customers and Aligning Interests with Relational Data: A true win-win</title>
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	<link>http://billpetti.com/2009/09/27/nudging-customers-and-aligning-interests-with-relational-data-a-true-win-win/</link>
	<description>Signal/Noise is a website that provides commentary on topics such as business, technology, innovation, research methodology and analysis, crowdsourcing &#38; open innovation, business planning &#38; forecasting, and data analytics.  If there is a general theme that runs through the site, it is my personal obsession with information and analysis, in particular the various ways that we can separate credible information from the vast noise that exists.  In particular, I am interested in how we can determine when people and organizations can be trusted in situations where they have an incentive to deceive–i.e. when the signals they send can be deemed credible. Moreover, I am interested in how we can craft better signals of our own so that we can engender trust and credibility with those we interact with.</description>
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		<title>By: Amram Shapiro</title>
		<link>http://billpetti.com/2009/09/27/nudging-customers-and-aligning-interests-with-relational-data-a-true-win-win/#comment-167</link>
		<dc:creator>Amram Shapiro</dc:creator>
		<pubDate>Wed, 28 Oct 2009 04:00:45 +0000</pubDate>
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		<description>Dear Bill,  Your blog is one of the clearest statements of our calibration aims at Book of Odds.  Your reference to relational data and the importance of visualization are right on the money.   Behavioral economics influences us too as will become increasingly clear in our blogs and articles.  Utility functions are neat constructs, but until you understand the whole person and their preference functions you have only started the task.  Once you do, people behave more sensibly and in their own interests than traditional economists give them credit for.  We believe people can understand probability as facilely as they do pricing.  Just give them the information in a simple, consistent format which touches things they care about and the calibration becomes second nature. Thanks for being a beta tester!  Keep giving us advice via the suggestions feature on the site or by email, if you prefer. 

Amram Shapiro,  Founder, Book of Odds</description>
		<content:encoded><![CDATA[<p>Dear Bill,  Your blog is one of the clearest statements of our calibration aims at Book of Odds.  Your reference to relational data and the importance of visualization are right on the money.   Behavioral economics influences us too as will become increasingly clear in our blogs and articles.  Utility functions are neat constructs, but until you understand the whole person and their preference functions you have only started the task.  Once you do, people behave more sensibly and in their own interests than traditional economists give them credit for.  We believe people can understand probability as facilely as they do pricing.  Just give them the information in a simple, consistent format which touches things they care about and the calibration becomes second nature. Thanks for being a beta tester!  Keep giving us advice via the suggestions feature on the site or by email, if you prefer. </p>
<p>Amram Shapiro,  Founder, Book of Odds</p>
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		<title>By: Beta Testing &#8220;Book of Odds&#8221; &#171; bill &#124; petti</title>
		<link>http://billpetti.com/2009/09/27/nudging-customers-and-aligning-interests-with-relational-data-a-true-win-win/#comment-129</link>
		<dc:creator>Beta Testing &#8220;Book of Odds&#8221; &#171; bill &#124; petti</dc:creator>
		<pubDate>Mon, 12 Oct 2009 11:42:08 +0000</pubDate>
		<guid isPermaLink="false">http://billpetti.com/?p=629#comment-129</guid>
		<description>[...] compare them to events that are familiar to us.  As mentioned previously, I am a big believer in the relational presentation of data.  Numbers are great&#8211;and I think they are important&#8211;but sometimes they can be too [...]</description>
		<content:encoded><![CDATA[<p>[...] compare them to events that are familiar to us.  As mentioned previously, I am a big believer in the relational presentation of data.  Numbers are great&#8211;and I think they are important&#8211;but sometimes they can be too [...]</p>
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