#100

We like to think we have everything we need to make decisions based on the numbers we are presented in a data set. But any large data set is bound to have problems. And it's often the data that we are missing that can lead us off course unexpectedly.

David Hand has written many books, including The Improbability Principle: Why Coincidences, Miracles, and Rare Events Happen Every Day and the more recent, Dark Data: Why What You Don’t Know Matters. He is also emeritus professor of math at Imperial College.

David and Greg talk today about bias in statistics, interpreting data sets, and whether or not we are just more aware of global events happening than we were in the past, and how that affects stats?

Show Links:

Guest Profile:
Faculty Profile at Imperial College London: https://www.imperial.ac.uk/people/d.j...
Professional Profile at The British Academy: https://www.thebritishacademy.ac.uk/f...

His work:
David Hand on Google Scholar: https://scholar.google.com/citations?...
Order Book: Dark Data: Why What You Don’t Know Matters: https://amzn.to/3Lr6BQ0
Order Book:The Improbability Principle: Why Coincidences, Miracles, and Rare Events Happen Every Day: https://amzn.to/3LsX22U
Order Book: Measurement: A Very Short Introduction: https://amzn.to/3JeUK5u