<?xml version="1.0" encoding="UTF-8" standalone="yes"?><oembed><version><![CDATA[1.0]]></version><provider_name><![CDATA[Buttle&#039;s World]]></provider_name><provider_url><![CDATA[https://buttle.wordpress.com]]></provider_url><author_name><![CDATA[clgood]]></author_name><author_url><![CDATA[https://buttle.wordpress.com/author/buttle/]]></author_url><title><![CDATA[Probably Guilty]]></title><type><![CDATA[link]]></type><html><![CDATA[<p>If you serve on a jury and either prosecutors or defense attorneys start throwing around statistics, like in a blood type or DNA match, remember that you need to apply <a href="http://www.newscientist.com/article/mg20427311.500-probably-guilty-bad-mathematics-means-rough-justice.html?full=true" target="_blank">Beyesian Mathematics</a>.</p>
<blockquote><p>Mathematics might seem a logical fit for the courts, then. Judges and juries, though, all too often rely on gut feeling. A startling example was the rape trial in 1996 of a British man, Dennis John Adams. Adams hadn&#8217;t been identified in a line-up and his girlfriend had provided an alibi. But his DNA was a 1 in 200 million match to semen from the crime scene &#8211; evidence seemingly so damning that any jury would be likely to convict him.</p>
<p>But what did that figure actually mean? Not, as courts and the press often assume, that there was only a 1 in 200 million chance that the semen belonged to someone other than Adams, making his innocence implausible.</p>
<p>It actually means there is a 1 in 200 million chance that the DNA of any random member of the public will match that found at the crime scene (see &#8220;The prosecutor&#8217;s fallacy&#8221;). The difference is subtle, but significant. In a population, say, of 10,000 men who could have committed the crime, there would be a 10,000 in 200 million, or 1 in 20,000, chance that someone else is a match too. That still doesn&#8217;t look good for Adams, but it&#8217;s not nearly as damning.</p></blockquote>
<p>Read the whole thing, including the part about O.J. Simpson.</p>
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