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	<id>https://wiki.opensourceecology.org/index.php?action=history&amp;feed=atom&amp;title=The_Wisdom_of_Crowds</id>
	<title>The Wisdom of Crowds - Revision history</title>
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	<updated>2026-05-02T09:27:04Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>https://wiki.opensourceecology.org/index.php?title=The_Wisdom_of_Crowds&amp;diff=292427&amp;oldid=prev</id>
		<title>Marcin at 16:38, 5 January 2024</title>
		<link rel="alternate" type="text/html" href="https://wiki.opensourceecology.org/index.php?title=The_Wisdom_of_Crowds&amp;diff=292427&amp;oldid=prev"/>
		<updated>2024-01-05T16:38:17Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 16:38, 5 January 2024&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l5&quot;&gt;Line 5:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 5:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Ex. Stock of o-ring company went down 12% compared to 3% of others on day 1, but only 6 months later did the experts identify the o-ring as the cause.&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Ex. Stock of o-ring company went down 12% compared to 3% of others on day 1, but only 6 months later did the experts identify the o-ring as the cause.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br/&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br/&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Would be good to study to understand conditions under which crowd guesses are accurate. Would this be on any topic? Ex, how do we extract &amp;#039;wisdom of crowds&amp;#039; for a complex question such as &amp;#039;how do we end corruption&amp;#039; etc? How do we form an answerable question, how do we interpret the results accurately? What is the state of art on such interpretation, ie, how to weigh answers? There must be a whole field of study for this outside of just counting and saying &amp;#039;the crowd says this.&amp;#039; Can we get a better answer by appropriate weighing of answers, and do such formulas exist? How to create such formulas?&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Would be good to study to understand conditions under which crowd guesses are accurate. Would this be on any topic? Ex, how do we extract &amp;#039;wisdom of crowds&amp;#039; for a complex question such as &amp;#039;how do we end corruption&amp;#039; etc? How do we form an answerable question, how do we interpret the results accurately? What is the state of art on such interpretation, ie, how to weigh answers? There must be a whole field of study for this outside of just counting and saying &amp;#039;the crowd says this.&amp;#039; Can we get a better answer by appropriate weighing of answers, and do such formulas exist? How to create such formulas&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;? What are the existing, open source algorithms that can help here&lt;/ins&gt;?&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Marcin</name></author>
	</entry>
	<entry>
		<id>https://wiki.opensourceecology.org/index.php?title=The_Wisdom_of_Crowds&amp;diff=292426&amp;oldid=prev</id>
		<title>Marcin at 16:37, 5 January 2024</title>
		<link rel="alternate" type="text/html" href="https://wiki.opensourceecology.org/index.php?title=The_Wisdom_of_Crowds&amp;diff=292426&amp;oldid=prev"/>
		<updated>2024-01-05T16:37:54Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 16:37, 5 January 2024&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l5&quot;&gt;Line 5:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 5:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Ex. Stock of o-ring company went down 12% compared to 3% of others on day 1, but only 6 months later did the experts identify the o-ring as the cause.&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Ex. Stock of o-ring company went down 12% compared to 3% of others on day 1, but only 6 months later did the experts identify the o-ring as the cause.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br/&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br/&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Would be good to study to understand conditions under which crowd guesses are accurate. Would this be on any topic? Ex, how do we extract &amp;#039;wisdom of crowds&amp;#039; for a complex question such as &amp;#039;how do we end corruption&amp;#039; etc? How do we form an answerable question, how do we interpret the results accurately? What is the state of art on such interpretation, ie, how to weigh answers? There must be a whole field of study for this.&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Would be good to study to understand conditions under which crowd guesses are accurate. Would this be on any topic? Ex, how do we extract &amp;#039;wisdom of crowds&amp;#039; for a complex question such as &amp;#039;how do we end corruption&amp;#039; etc? How do we form an answerable question, how do we interpret the results accurately? What is the state of art on such interpretation, ie, how to weigh answers? There must be a whole field of study for &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;this outside of just counting and saying &amp;#039;the crowd says &lt;/ins&gt;this.&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&amp;#039; Can we get a better answer by appropriate weighing of answers, and do such formulas exist? How to create such formulas?&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Marcin</name></author>
	</entry>
	<entry>
		<id>https://wiki.opensourceecology.org/index.php?title=The_Wisdom_of_Crowds&amp;diff=292425&amp;oldid=prev</id>
		<title>Marcin at 16:37, 5 January 2024</title>
		<link rel="alternate" type="text/html" href="https://wiki.opensourceecology.org/index.php?title=The_Wisdom_of_Crowds&amp;diff=292425&amp;oldid=prev"/>
		<updated>2024-01-05T16:37:02Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 16:37, 5 January 2024&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot;&gt;Line 1:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 1:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;https://www.amazon.com/Wisdom-Crowds-James-Surowiecki/dp/0385721706#customerReviews&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;https://www.amazon.com/Wisdom-Crowds-James-Surowiecki/dp/0385721706#customerReviews&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-deleted&quot;&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-deleted&quot;&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;Ex. avarage of county fair guesses of dressed meat weight was one pound off.&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-deleted&quot;&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-deleted&quot;&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;Ex. Stock of o-ring company went down 12% compared to 3% of others on day 1, but only 6 months later did the experts identify the o-ring as the cause.&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-deleted&quot;&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-deleted&quot;&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;Would be good to study to understand conditions under which crowd guesses are accurate. Would this be on any topic? Ex, how do we extract &#039;wisdom of crowds&#039; for a complex question such as &#039;how do we end corruption&#039; etc? How do we form an answerable question, how do we interpret the results accurately? What is the state of art on such interpretation, ie, how to weigh answers? There must be a whole field of study for this.&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Marcin</name></author>
	</entry>
	<entry>
		<id>https://wiki.opensourceecology.org/index.php?title=The_Wisdom_of_Crowds&amp;diff=292424&amp;oldid=prev</id>
		<title>Marcin: Created page with &quot;https://www.amazon.com/Wisdom-Crowds-James-Surowiecki/dp/0385721706#customerReviews&quot;</title>
		<link rel="alternate" type="text/html" href="https://wiki.opensourceecology.org/index.php?title=The_Wisdom_of_Crowds&amp;diff=292424&amp;oldid=prev"/>
		<updated>2024-01-05T16:33:18Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;https://www.amazon.com/Wisdom-Crowds-James-Surowiecki/dp/0385721706#customerReviews&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;https://www.amazon.com/Wisdom-Crowds-James-Surowiecki/dp/0385721706#customerReviews&lt;/div&gt;</summary>
		<author><name>Marcin</name></author>
	</entry>
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