How to read a chart or a headline somebody else made and find the place where it misleads: truncated axes, percentage points, relative risk, chart geometry, rates versus counts, survivorship, cherry-picked windows, regression to the mean, Goodhart's law, false precision, error bars, provenance, missing denominators, averages of averages, pie charts, absent comparisons, and working a headline back to its study. Scoped against statistics, probability and modeling, which own correlation versus causation, the base-rate fallacy and extrapolation respectively.
Free to start · adaptive placement finds your level · reviews timed so it stays learned.
Every idea is taught with motivation and a worked example before the drills, and an FSRS spaced-repetition engine schedules each review for the moment just before you'd forget it. A short placement check finds what you already know, so you start Data Literacy exactly where it's useful.