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	<title>Simon Whatley &#187; Scientific method</title>
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	<description>The opposite of every great idea is another great idea</description>
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		<title>How to Learn from Failure</title>
		<link>http://www.simonwhatley.co.uk/how-to-learn-from-failure</link>
		<comments>http://www.simonwhatley.co.uk/how-to-learn-from-failure#comments</comments>
		<pubDate>Tue, 26 Jan 2010 09:43:29 +0000</pubDate>
		<dc:creator>Simon</dc:creator>
				<category><![CDATA[Strategy]]></category>
		<category><![CDATA[Asides]]></category>
		<category><![CDATA[Philosophy of science]]></category>
		<category><![CDATA[Scientific method]]></category>
		<category><![CDATA[Theory]]></category>
		<category><![CDATA[Wired Magazine]]></category>

		<guid isPermaLink="false">http://www.simonwhatley.co.uk/?p=2223</guid>
		<description><![CDATA[Too often we assume that a failed experiment is a wasted effort. But not all anomalies are useless.]]></description>
			<content:encoded><![CDATA[<p>Too often we assume that a failed experiment is a wasted effort. But not all anomalies are useless.</p>
<ul>
<li><strong>Check your assumptions</strong><br />
Ask yourself why this result feels like a failure. What theory does this contradict? Maybe the hypothesis failed, not the experiment.</li>
<li><strong>Seek out the ignorant</strong><br />
Talk to people who are unfamiliar with your experiment. Explaining your work in simple terms may help you see it in a new light.</li>
<li><strong>Beware of failure blindness</strong><br />
It&#8217;s normal to filter out information that contradicts our preconceptions. The only way to avoid that bias is to be aware of it.</li>
<li><strong>Encourage diversity</strong><br />
If everyone working on a problem speaks the same language, then everyone has the same set of assumptions.</li>
</ul>
<p><em>Excerpt from February&#8217;s UK edition of Wired.</em></p>
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