"Originally published in March 2019 by Pelican, an imprint of Penguin Books, in the United Kingdom"--Title page verso

Getting things in proportion : categorical data and percentages
Summarizing and communicating numbers : Lots of numbers
Why are we looking at data anyway? : Populations and measurement
What causes what?
Modelling relationships using regression
Algorithms, analytics and prediction
How sure can we be about what is going on? : Estimates and intervals
Probability : the language of uncertainty and variability
Putting probability and statistics together
Answering questions and claiming discoveries
Learning from experience the Bayesian way
How things go wrong
How we can do statistics better.

Shows how to apply statistical reasoning to real-world problems. This isn't simply memorizing formulas or using the tools in a spreadsheet; Spiegelhalter emphasizes the importance of clarifying questions, assumptions, and expectations, and-- more importantly-- knowing how to responsibly interpret the results the software generates.