<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Science on The Findings Report</title><link>https://www.findingsreport.com/tags/science/</link><description>Recent content in Science on The Findings Report</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 22 Oct 2016 21:47:00 +0000</lastBuildDate><atom:link href="https://www.findingsreport.com/tags/science/index.xml" rel="self" type="application/rss+xml"/><item><title>A Field Guide to Lies</title><link>https://www.findingsreport.com/2016/10/22/a-field-guide-to-lies/</link><pubDate>Sat, 22 Oct 2016 21:47:00 +0000</pubDate><guid>https://www.findingsreport.com/2016/10/22/a-field-guide-to-lies/</guid><description>&lt;p&gt;2016 in the USA has been one, long, contentious election cycle. Within it, a plethora of facts and false facts (also known as lies). We live in an age of big data, but that data is bereft of meaning on its own. Instead, we can easily be misled by a statistic. It&amp;rsquo;s all up to the way the information is framed and shared.&lt;/p&gt;
&lt;p&gt;Best-selling author Daniel Levitin&amp;rsquo;s new book &lt;em&gt;A Field Guide to Lies&lt;/em&gt; explores the ways people use data and statistics to mislead us. I interviewed him for Live Talks LA in August.&lt;/p&gt;</description></item></channel></rss>