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	<title>
	Comments on: Turning random facts into logistics curves &#8211; ODE per day series continued.	</title>
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	<link>/blog_archive/2012/02/15/turning-random-facts-into-logistics-curves-ode-per-day-series-continued/</link>
	<description>iteration, making, building, and coding in education</description>
	<lastBuildDate>Thu, 16 Feb 2012 04:50:12 +0000</lastBuildDate>
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		<title>
		By: Evan Weinberg		</title>
		<link>/blog_archive/2012/02/15/turning-random-facts-into-logistics-curves-ode-per-day-series-continued/#comment-54</link>

		<dc:creator><![CDATA[Evan Weinberg]]></dc:creator>
		<pubDate>Thu, 16 Feb 2012 04:50:12 +0000</pubDate>
		<guid isPermaLink="false">http://evanweinberg.com/?p=404#comment-54</guid>

					<description><![CDATA[In reply to &lt;a href=&quot;/blog_archive/2012/02/15/turning-random-facts-into-logistics-curves-ode-per-day-series-continued/#comment-53&quot;&gt;John Burk&lt;/a&gt;.

Hey John, 

Thanks for the comment - I hadn&#039;t heard of gist before, it is perfect for this. I used the image because pasting lost the indents and I didn&#039;t have time to fix it, but your solution is better!

I was surprised initially too, but the more I think about it, the more I think that all of the random variables involved make it hard NOT to look like this. Increasing/decreasing the difficulty of the task will scale it horizontally. The type of task does too - I purposely asked two things that would require more than just a quick calculation. 

It would be interesting to pose this to students and ask them to choose a task that would skew the curve in a given way.

There&#039;s a lot of interesting stuff embedded in this - glad to have happened upon it!]]></description>
			<content:encoded><![CDATA[<p>In reply to <a href="/blog_archive/2012/02/15/turning-random-facts-into-logistics-curves-ode-per-day-series-continued/#comment-53">John Burk</a>.</p>
<p>Hey John, </p>
<p>Thanks for the comment &#8211; I hadn&#8217;t heard of gist before, it is perfect for this. I used the image because pasting lost the indents and I didn&#8217;t have time to fix it, but your solution is better!</p>
<p>I was surprised initially too, but the more I think about it, the more I think that all of the random variables involved make it hard NOT to look like this. Increasing/decreasing the difficulty of the task will scale it horizontally. The type of task does too &#8211; I purposely asked two things that would require more than just a quick calculation. </p>
<p>It would be interesting to pose this to students and ask them to choose a task that would skew the curve in a given way.</p>
<p>There&#8217;s a lot of interesting stuff embedded in this &#8211; glad to have happened upon it!</p>
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		<title>
		By: John Burk		</title>
		<link>/blog_archive/2012/02/15/turning-random-facts-into-logistics-curves-ode-per-day-series-continued/#comment-53</link>

		<dc:creator><![CDATA[John Burk]]></dc:creator>
		<pubDate>Wed, 15 Feb 2012 13:43:35 +0000</pubDate>
		<guid isPermaLink="false">http://evanweinberg.com/?p=404#comment-53</guid>

					<description><![CDATA[Evan,
I really like this and never thought you would have gotten such nice data from such a small dataset. One small suggestion from code thieves like me. Could you put your code in a &lt;a href=&quot;https://gist.github.com/&quot; rel=&quot;nofollow ugc&quot;&gt;github gist &lt;/a&gt; so that those who want to play with it can use it?]]></description>
			<content:encoded><![CDATA[<p>Evan,<br />
I really like this and never thought you would have gotten such nice data from such a small dataset. One small suggestion from code thieves like me. Could you put your code in a <a href="https://gist.github.com/" rel="nofollow ugc">github gist </a> so that those who want to play with it can use it?</p>
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