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<oembed><version>1.0</version><provider_name>OnWords</provider_name><provider_url>https://blog.ackgame.com/onwords</provider_url><author_name>Russ</author_name><author_url>https://blog.ackgame.com/onwords/author/russell/</author_url><title>Fatal Accidents in Santa Clara Valley - OnWords</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="z5m3sR2H1X"&gt;&lt;a href="https://blog.ackgame.com/onwords/fatal-accidents-santa-clara-valley/"&gt;Fatal Accidents in Santa Clara Valley&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://blog.ackgame.com/onwords/fatal-accidents-santa-clara-valley/embed/#?secret=z5m3sR2H1X" width="600" height="338" title="&#x201C;Fatal Accidents in Santa Clara Valley&#x201D; &#x2014; OnWords" data-secret="z5m3sR2H1X" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>I&#x2019;ve been playing with auto crash data from NHTSA again. The image below identifies every fatal crash in 2016 by make of the vehicle(s) involved. Click on the image to see it full size in good resolution. I find it interesting in several ways. First, I notice the makes seem to cluster a bit. The [&hellip;]</description><thumbnail_url>http://images.ackgame.com/SBay%20Fatalities.png</thumbnail_url></oembed>
