Why we need causal thinking for all data applications: Richard McElreath (Max Planck Institute) 

When it comes to causality, many people immediately think of causal questions about interventions or counterfactuals. But even seemingly simpler questions in the field of descriptive and predictive research require causal thinking. In this video, Richard McElreath, director of the Max Planck Institute for Evolutionary Anthropology, explains why causal thinking is important for all data applications.
The video is part of the German online course "Was, wie, warum? - Einführungskurs Kausale Inferenz", which is available on the AI Campus: ki-campus.org/...
The AI Campus is the learning platform for artificial intelligence with many free online courses, videos and podcasts in different areas of AI. Learn all about AI now at ai-campus.org/.
The digital learning platform has been available to the public as a beta version since July 2020 and is in continuous development. As an R&D project, the AI Campus is funded by the German Federal Ministry of Education and Research (BMBF).
CC BY-SA 4.0
Editing and post-production: Lucie Liu.
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