{"href":"https://api.simplecast.com/oembed?url=https%3A%2F%2Fsecuritytools.simplecast.com%2Fepisodes%2Fa9cf9066-a9cf9066","width":444,"version":"1.0","type":"rich","title":"Statistician Kaiser Fung: Fishy Stats (Part 3)","thumbnail_width":300,"thumbnail_url":"https://image.simplecastcdn.com/images/5128d4/5128d4b9-97a3-46af-af2a-d5ffe821f6e2/ab3c01cb-556a-44b9-83e3-dc82b1462ae1/1540505658artwork.jpg","thumbnail_height":300,"provider_url":"https://simplecast.com","provider_name":"Simplecast","html":"<iframe src=\"https://player.simplecast.com/ab3c01cb-556a-44b9-83e3-dc82b1462ae1\" height=\"200\" width=\"100%\" title=\"Statistician Kaiser Fung: Fishy Stats (Part 3)\" frameborder=\"0\" scrolling=\"no\"></iframe>","height":200,"description":"Over the past few weeks, Kaiser Fung has given us some valuable pointers on understanding the big data stats we are assaulted with on a daily basis.  To sum up, learn the context behind the stats — sources and biases — and know that the algorithms that crunch numbers may not have the answer to your […]\r\n\r\n"}