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Chivers gives a readable description and backstory of statistics along with the feud of Frequentists and Bayesians. He does a great job covering reproducibility issues in scientific research and how “objective�� frequentist methods are misused and shows despite being “subjective�� how Bayesian framework can provide better use of data. There are many examples with stories of Bayes and major figures like Gauss, Fermat, Fisher, Pearson, etc. Towards the end Chivers gets into how our brains run like prediction machines with bayesian inferences. He helped me see how my mental models are mostly broken in interpreting statistical results. His false positive examples from medical testing are striking. A bit challenging in parts but were great help to update my priors.