Summary: <br> <br> If you have two sets of researchers who are telling you contradictory things, <br> and they have their own data sets to support it; how do you tell which one is <br> believable and which one is junk. In <a href="http://www.amazon.com/gp/product/0071799664/ref=as_li_qf_sp_asin_tl?ie=UTF8&camp=211189&creative=373489&creativeASIN=0071799664&link_code=as3&tag=business901-20">Numbersense</a>, <br> what I try to do is to give people, as you say, a framework to start thinking <br> about how you would interpret all these things out there. <br> <br> <br> …says Kaiser Fung, author of a new book, <a href="http://www.amazon.com/gp/product/0071799664/ref=as_li_qf_sp_asin_tl?ie=UTF8&camp=211189&creative=373489&creativeASIN=0071799664&link_code=as3&tag=business901-20">Numbersense</a> a <br> previous book, <a href="http://www.amazon.com/gp/product/0071626530/ref=as_li_qf_sp_asin_tl?ie=UTF8&camp=211189&creative=373489&creativeASIN=0071626530&link_code=as3&tag=business901-20">Numbers Rule Your World: The Hidden Influence of Probabilities and Statistics on Everything You Do</a> and the popular blog, <a href="http://junkcharts.typepad.com">Junk Charts</a>. Kaiser Fung is a <br> professional statistician with over a decade of experience applying statistical <br> methods to marketing and advertising businesses. He holds an MBA from Harvard <br> Business School, in addition to degrees from Princeton and Cambridge <br> Universities. He is Vice President of Business Intelligence and Analytics at <br> Vimeo, a high-quality video hosting platform for creative people. He previously <br> worked at Sirius XM Radio, American Express, [X+1], Exodus Communications, and <br> Sonus Networks. He is also an adjunct professor at New York University teaching <br> practical statistics. <br> This is the first of two podcasts with Kaiser. The second one will post next <br> week.<br>
