Tests 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.
Cause-effect 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.
Aggregation Good models + Bad data = Bad analysis Example showing how to diagnose bad data in data science models
Aggregation Relevance, to you or me: a response to Cairo Alberto Cairo discussed a graphic by the New York Times on the
Aggregation Exquisite chart by-of-for academics This chart published in Harvard Magazine has won my heart. It is