Interpreting margins of error in tennis calls
When two sources of evidence disagree: pick a winner or combine
Significance
The election could have been called much earlier
What does it mean by too close to call
Know your data 36: the what and the why
Kaiser learns about data science in the restaurant business.
Blood clots: is there a there
Kaiser looks at the controversy over blood clots and the Astrazeneca vaccine.
Real-world studies: limits of knowledge
Kaiser focuses attention on a few aspects of the Mayo Clinic real-world effectiveness study.
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.