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Given the following post, respond as if you're commenting on Reddit:
human
Bayesian Texts - Rethinking (McElreath) vs Data Analysis (Gelman)

 A very basic question. Can any Bayesian Statisticians summarize the difference between McElreath's Statistical Rethinking and Gelman's Bayesian Data Analysis?
gpt
They are nothing like each other. 

Rethinking is a great introduction to practical Bayesian data analysis and thinking about statistical ideas, with heaps of worked examples and a sense of humour. 

BDA is a dry math-intensive reference that goes deep into the details. Very thorough and rigorous, but IMO only something to consider if you’re maths inclined and really want to get deep into Bayesian stats. 

Get both!