Tautology in data arguments
Kaiser discusses statistical tautologies.
Decision-making
Why tests are not perfect
Kaiser explains why testing can't be perfect. Typically, the test itself can't be perfect; but also errors arise from outside the labs.
Bittersweet
Kaiser Fung (Numbersense) describes the bitterweet moment when the data scientist discovers something.
In times of paranoia, seek out data and stick to facts
Kaiser Fung (Principal Analytics Prep, Numbersense) urges people to stick to the facts as they assess the coronavirus public-health situation.
If you are using Facebook Ads split testing (A/B testing), stop fooling yourself
Kaiser Fung, founder of Principal Analytics Prep, and former director of Applied Analytics at Columbia University, explains why you can't run proper A/B tests on Facebook
Data sleaze: Uber and beyond
There has been a barrage of negative publicity related to Uber recently.