Bias, sampling, uncertainty, and A/B intuition without the math degree.
- 1 Sampling and bias for analysts Your sample is not “the data.” It is a story about who showed up, who got filtered out, and what bias you baked into the chart. Part 1 of Statistics for analysts shows how sampling choices quietly decide your conclusions. Scheduled · October 9, 2026
- 2 Comparing groups without fooling yourself Group A beat Group B on the dashboard. Was it the product, the mix of users, or a baseline that moved on its own? Part 2 of Statistics for analysts covers fair comparisons without fooling yourself. Scheduled · October 10, 2026
- 3 Uncertainty and confidence in plain English A point estimate without uncertainty is a dare, not a finding. Part 3 of Statistics for analysts explains confidence intervals, margins of error, and “we’re not sure yet” in plain English. Scheduled · October 11, 2026
- 4 A/B tests intuition for analysts A/B tests are not a green “ship it” button. They are a designed comparison with a unit, a metric, and a stopping rule. Part 4 of Statistics for analysts builds the intuition without drowning in formulas. Scheduled · October 12, 2026