<p><strong>Hello and welcome to the Data Book Podcast</strong></p>
<p><strong>Data is everywhere and shapes what we do, what we think and how we are treated in almost every aspect of our lives.</strong></p>
<p><strong>In this podcast series we’ll be speaking to authors about their data related books and maybe bending the rules sometimes and speaking to others in data related industries as well.</strong></p>
<p><strong>I’m delighted that my first guest is Tom Chivers, Science Editor at </strong><a href="https://unherd.com/author/tom-chivers/"><strong>UnHerd.com</strong></a><strong>, and co-author of </strong><a href="https://www.amazon.co.uk/How-Read-Numbers-Statistics-Knowing/dp/1474619967"><strong>‘How to Read Numbers: A Guide to Stats in the news (and knowing when to trust them)'</strong></a><strong>.</strong></p>
<p><strong>I talk to Tom about the book, whether he thinks the pandemic has changed people’s understanding of statistics and the backlash after having an article printed </strong><a href="https://www.theguardian.com/world/2021/apr/18/obscure-maths-bayes-theorem-reliability-covid-lateral-flow-tests-probability"><strong>which called Bayes Theorem ‘obscure’</strong></a><strong>.</strong></p>
<p><strong>Follow Tom on Twitter </strong><a href="https://twitter.com/TomChivers"><strong>@TomChivers</strong></a><strong> and follow us </strong><a href="https://twitter.com/TheDataBookClub"><strong>@TheDataBookClub</strong></a><strong> or visit </strong><a href="https://www.thedatabookclub.com/"><strong>TheDataBookClub.Com</strong></a><strong> for details of our events.</strong></p>
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