The Book of Why
About This Book
Published in 2018, this work presents fundamental principles of statistical reasoning and advocates for a mathematical framework to understand causation. The scientific community has spent decades insisting that correlation cannot prove causation. This emphasis has created roadblocks across multiple research disciplines, and Pearl and MacKenzie seek to overcome these limitations through new approaches.
Who Should Read This?
- People who follow national news and analyze government reports
- Social scientists working with large datasets
- Students in the humanities interested in questioning established frameworks
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