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	<title>Code Emporium &#187; Statistics</title>
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		<title>Viewing Patterns of YouTube Lecture Series</title>
		<link>http://www.codeemporium.com/2009/08/30/viewing-patterns-of-youtube-lecture-series/</link>
		<comments>http://www.codeemporium.com/2009/08/30/viewing-patterns-of-youtube-lecture-series/#comments</comments>
		<pubDate>Sun, 30 Aug 2009 09:26:19 +0000</pubDate>
		<dc:creator>Bryce Thomas</dc:creator>
				<category><![CDATA[Statistics]]></category>
		<category><![CDATA[YouTube]]></category>

		<guid isPermaLink="false">http://www.codeemporium.com/?p=296</guid>
		<description><![CDATA[It&#8217;s amazing to see the kind of educational resources that are starting to crop up for free online.  If you look on YouTube today, you&#8217;ll find channels from some of the top universities in the states like Stanford and MIT that feature entire lecture series taken from some of the courses taught there.  [...]]]></description>
			<content:encoded><![CDATA[<p>It&#8217;s amazing to see the kind of educational resources that are starting to crop up for free online.  If you look on YouTube today, you&#8217;ll find channels from some of the top universities in the states like <a href="http://www.youtube.com/user/stanforduniversity">Stanford</a> and <a href="http://www.youtube.com/mit">MIT</a> that feature entire lecture series taken from some of the courses taught there.  About a month ago I was browsing through some of these series and noticed a kind of quaint pattern in how the number of views a lecture had received related to how far it was into the lecture series.  I&#8217;m using this post as an excuse to get acquainted with <a href="http://www.r-project.org/">R</a> and so created some graphs to plot the number of views of five prominent lecture series available on YouTube:</p>
<p><a href="http://www.codeemporium.com/http://www.codeemporium.com/wp-content/uploads/2009/08/linear_dynamical_systems.png"><img src="http://www.codeemporium.com/http://www.codeemporium.com/wp-content/uploads/2009/08/linear_dynamical_systems-500x499.png" alt="linear_dynamical_systems" title="linear_dynamical_systems" width="500" height="499" class="alignnone size-large wp-image-309" /></a></p>
<p><a href="http://www.codeemporium.com/http://www.codeemporium.com/wp-content/uploads/2009/08/stat_aspects_of_data_mining.png"><img src="http://www.codeemporium.com/http://www.codeemporium.com/wp-content/uploads/2009/08/stat_aspects_of_data_mining-500x499.png" alt="stat_aspects_of_data_mining" title="stat_aspects_of_data_mining" width="500" height="499" class="alignnone size-large wp-image-313" /></a></p>
<p><a href="http://www.codeemporium.com/http://www.codeemporium.com/wp-content/uploads/2009/08/convex_optimization.png"><img src="http://www.codeemporium.com/http://www.codeemporium.com/wp-content/uploads/2009/08/convex_optimization-500x499.png" alt="convex_optimization" title="convex_optimization" width="500" height="499" class="alignnone size-large wp-image-314" /></a></p>
<p><a href="http://www.codeemporium.com/http://www.codeemporium.com/wp-content/uploads/2009/08/classical_mechanics.png"><img src="http://www.codeemporium.com/http://www.codeemporium.com/wp-content/uploads/2009/08/classical_mechanics-500x499.png" alt="classical_mechanics" title="classical_mechanics" width="500" height="499" class="alignnone size-large wp-image-315" /></a></p>
<p><a href="http://www.codeemporium.com/http://www.codeemporium.com/wp-content/uploads/2009/08/intro_to_robotics.png"><img src="http://www.codeemporium.com/http://www.codeemporium.com/wp-content/uploads/2009/08/intro_to_robotics-500x499.png" alt="intro_to_robotics" title="intro_to_robotics" width="500" height="499" class="alignnone size-large wp-image-316" /></a></p>
<p>Notice how the number of views drops radically between the first lecture and the second lecture in each series.  The number of views continues to fall for a few more lectures, but at a much slower rate.  I had to lol at the déjà vu when thinking back to some of the classes I took at university, where lecture attendance seemed to follow a somewhat similar pattern.    </p>
<p>There&#8217;s way too little information in this data to draw any meaningfully accurate conclusions, but in true <a href="http://en.wikipedia.org/wiki/Today_Tonight">Today Tonight</a> style, let&#8217;s try and do so anyway.  Here&#8217;s some conjecture about what the data could mean:</p>
<p><strong>People can&#8217;t be bothered learning stuff in any depth</strong><br />
Could the large drop off after the first video in a series be an indication that few people can muster up the will power to learn more than a lectures worth of information on any topic without losing motivation and moving onto something else?  This conclusion would fit in nicely with proponents of the &#8220;kid&#8217;s these days don&#8217;t know anything/can&#8217;t stick with anything&#8221; school of thought.  I&#8217;d put it as plausible, but I wouldn&#8217;t necessarily argue that people not bothering to watch a whole lecture series is a bad thing, depending on the circumstances.</p>
<p><strong>Most people find the lecture videos boring</strong><br />
People watch the first video, only to find that it&#8217;s about as fun as watching paint dry.  If the videos were truly boring though, you&#8217;d think that people would close them in the first few minutes, rather than subjecting themselves to 45 minutes or more of torture.  It looks as though YouTube standards require a video to be <a href="http://www.masternewmedia.org/news/2008/02/29/internet_video_metrics_when_a.htm">watched in full</a> for it to count as a view.  If this holds true, then you can rule out the possibility of a whole load of people who watch only the first few minutes being registered as a view.  Therefore all those who were counted as a &#8220;view&#8221; didn&#8217;t find it boring enough to end the video prematurely.</p>
<p>Although all the lecture series show a rapid decline in number of views after the first lecture, some have a decline more rapid than others.  The following summarises the percentage drop in views between the first lecture and second lecture of each series.</p>
<table>
<tr>
<td><a href="http://www.youtube.com/view_play_list?p=06960BA52D0DB32B&#038;search_query=linear+dynamic+systems">Linear Dynamical Systems</a> </td>
<td>-47.94%</td>
</tr>
<tr>
<td><a href="http://www.youtube.com/view_play_list?p=3C9A24BC27426F65&#038;search_query=statistical+aspects+of+data+mining">Statistical Aspects of Data Mining</a> </td>
<td>-61.25%</td>
</tr>
<tr>
<td><a href="http://www.youtube.com/view_play_list?p=3940DD956CDF0622&#038;search_query=convex+optimization">Convex Optimisation</a> </td>
<td>-64.63%</td>
</tr>
<tr>
<td><a href="http://www.youtube.com/view_play_list?p=F688ECB2FF119649">Classical Mechanics</a> </td>
<td>-66.93%</td>
</tr>
<tr>
<td><a href="http://www.youtube.com/view_play_list?p=65CC0384A1798ADF&#038;search_query=introduction+to+robotics">Introduction to Robotics</a> </td>
<td>-78.26%</td>
</tr>
</table>
<p>This information could perhaps be a reflection of how &#8220;accessible&#8221; each individual course is, with a greater relative drop in views indicating that a course is harder to follow along with (hence people stop watching after the first lecture).  I haven&#8217;t watched either the Linear Dynamical Systems or Introduction to Robotics series which are at the two extremes of the data, so I can&#8217;t provide any opinion on one being any more accessible than the other.  Still, it would be interested to know if the hypothesis had any merit to it.</p>
<p>Anyway, this analysis is hardly scientific and the statistics should be filed under descriptive at best.  Still, it&#8217;s interesting to see how the different lecture series follow a similar viewing pattern.</p>
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