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	<title>The Psych Files Podcast &#187; Falsifiability</title>
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	<itunes:summary>ThePsychFiles is a podcast for anyone interested in the topic of psychology and how theories in this field apply to everyday life. Dr. Michael Britt brings you an upbeat, fun podcast of interest to everyone from psychology majors to those just interested in why people do what they do.</itunes:summary>
	<itunes:author>Michael Britt</itunes:author>
	<itunes:explicit>no</itunes:explicit>
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		<itunes:email>michael@thepsychfiles.com</itunes:email>
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	<managingEditor>michael@thepsychfiles.com (Michael Britt)</managingEditor>
	<copyright>2007-2008</copyright>
	<itunes:subtitle>Psychology podcast and resources for students and educators</itunes:subtitle>
	<itunes:keywords>psychology, human behavior, psych major, psych</itunes:keywords>
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		<title>The Psych Files Podcast &#187; Falsifiability</title>
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		<title>Episode #3: Predictions, Predictions</title>
		<link>http://www.thepsychfiles.com/2007/02/episode-3-falsifiability/</link>
		<comments>http://www.thepsychfiles.com/2007/02/episode-3-falsifiability/#comments</comments>
		<pubDate>Sun, 11 Feb 2007 18:17:19 +0000</pubDate>
		<dc:creator>Michael</dc:creator>
				<category><![CDATA[Critical Thinking]]></category>
		<category><![CDATA[Research and Stats]]></category>
		<category><![CDATA[Falsifiability]]></category>
		<category><![CDATA[Scientific Method]]></category>

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		<description><![CDATA[Clairvoyants make predictions and sometimes it seems they're right.  How could this be?  Is it possible to make a prediction that could almost never come out false.  You better believe it. ]]></description>
			<content:encoded><![CDATA[<p><span class="zemanta-img" style="margin: 1em; float: right; display: block;"><a href="http://commons.wikipedia.org/wiki/Image:Lobes_of_the_brain_NL.svg"><img src="http://upload.wikimedia.org/wikipedia/commons/thumb/0/0e/Lobes_of_the_brain_NL.svg/202px-Lobes_of_the_brain_NL.svg.png" alt="Principal fissures and lobes of the cerebrum v..." style="border: medium none ; display: block;"/></a><span class="zemanta-img-attribution" style="margin: 1em 0pt 0pt; display: block;">Image via <a href="http://commons.wikipedia.org/wiki/Image:Lobes_of_the_brain_NL.svg">Wikipedia</a> </span></span>It&#8217;s the beginning of the year and it seems like everyone is making predictions.   How about this one: people with large brains are smarter than people with small brains.  Don&#8217;t believe it? Neither do we.  Find out why this prediction is hogwash and what makes for good and bad predictions.</p>
<p>This episode talks a bit about one of the first (and very crude) attempts to understand intelligence.  The topic of intelligence is fascinating and here is a fascinating talk by Sir Ken Robinson about our need to redefine the concept of intelligence and how important creativity will be in our world.</p>
<h2>Falsifiable</h2>
<p>Karl Popper&#8217;s concept of <strong>falsifiability</strong> is an essential concept in science and important for anyone interested in critical thinking to understand.  It boils down to this&#58; it is essential for a prediction to be falsifiable&#58; in other words, <strong>a good prediction can come out false</strong>.</p>
<ul>
<li><strong>Bad Prediction/Hypothesis</strong>&#58; &#34;Something will happen to someone, somewhere at sometime this year&#34;.  It&#8217;s bad because it is so vague it will most certainly come true no matter how it is interpreted.</li>
<li><strong>Good Prediction/Hypothesis</strong>&#58; &#34;Patients given XYZ drug will show a significant decrease on the Beck Depression Inventory over control subjects within 6 months from the beginning of treatment&#34;</li>
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		<slash:comments>4</slash:comments>
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			<itunes:keywords>Critical Thinking,Falsifiability,Scientific Method</itunes:keywords>
		<itunes:subtitle>Clairvoyants make predictions and sometimes it seems they&#039;re right.  How could this be?  Is it possible to make a prediction that could almost never come out false.  You better believe it. </itunes:subtitle>
		<itunes:summary>Clairvoyants make predictions and sometimes it seems they&#039;re right.  How could this be?  Is it possible to make a prediction that could almost never come out false.  You better believe it. </itunes:summary>
		<itunes:author>Michael Britt</itunes:author>
		<itunes:explicit>no</itunes:explicit>
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