Kaiser Fung, founder of Applied Analytics at Columbia University and Principal Analytics Prep, the premier data analytics bootcamp from Harvard Business School Startup Studio, discusses how a software vendor uses the power of suggestion to seduce users into believing the accuracy of predictive analytics; and how such a tactic got exposed by the visibility of errors.
Kaiser Fung, author of Numbersense and founder of Principal Analytics Prep, discusses the rejection of a predictive model used to find vulnerable children at risk for child abuse in Chicago.
Kaiser Fung, founder of Principal Analytics Prep and the Master of Science in Applied Analytics at Columbia, gives a short lecture on A/B testing for Harvard Business Review on Facebook Live.
Kaiser Fung, founder of Principal Analytics Prep and the Master of Science in Applied Analytics at Columbia, gives a short lecture on A/B testing for Harvard Business Review on Facebook Live.
Kaiser Fung, founder of Principal Analytics Prep and author of Numbersense, reacts to the New York TImes Magazine article on Amy Cuddy and the power pose research program. He offers a guide to the controversy around the interpretation of data in social psychology experiments.
For me, 2016 is a year of water leaks. I was forced to move apartments during the summer. (Blame my old landlord for the lower frequency of posts this year!) That old apartment was overrun by water issues. In the past four years, there were two big leaks in addition to annual visible "seepage" in the ceiling. The first big leak ruined my first night back from Hurricane Sandy-induced evacuation.…
This is the third and final post about the controversy over statistical analysis used in peer-reviewed published scholarly research. Most of the new stuff are covered in post #2 (link). Today's post covers statistical issues related to sample size, which is nothing new, but it was mentioned in Amy Cuddy's response to her critics and thus I also discuss it here. In post #2 (link), I offer the following mental…
Yesterday, I started a series of posts covering the "power pose" research controversy. The plan is as follows: Key Idea 1: Peer Review, Manuscripts, Pop Science and TED Talks Key Idea 2: P < 0.05, P-hacking, Replication Studies, Pre-registration Key Idea 3: Negative Studies, and the File Drawer (Today) Key Idea 4: Degrees of Freedom, and the Garden of Forking Paths Key Idea 5: Sample Size Here is a quick…
I am traveling so have to make this brief. I will likely come back to these stories in the future to give a longer version of these comments. I want to react to two news items that came out in the past couple of days. First, Ben Stiller said that prostate cancer screening (the infamous PSA test) "saved his life". (link) So he is out there singing the praises of…
Here's a pair of figures from a 2003 report by the National Academies 'Committee to Review the Scientific Evidence on the Polygraph' (full text), which includes several well-known statisticians. The figure below shows the sensitivity versus false-positive rate for 52 controlled laboratory studies of naive examinees, untrained in polygraph countermeasures. Each study examinee was assigned … Continue reading Two figures on the accuracy of polygraphs as lie detectors. →
