Statistical Rethinking 2026: 20 Lectures on Causal Inference & Scientific Modeling
RichmanRonald · x · 2026-08-25
Richard McElreath has released the 2026 edition of the Statistical Rethinking course, featuring 20 new lectures. The course emphasizes logical and critical statistical workflows, covering topics from probability basics to causal inference, reliable computation, and sensitivity analysis.
Key Highlights:
- Focuses on scientific models rather than raw data, highlighting the role of causal assumptions.
- Splits into two sections in 2026: Beginner and Experienced tracks.
- Lectures will be recorded and made freely available to the public.
- Includes homework, scripts, and a complete code repository.
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