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Edu: Product Experiments - Revealing The Science Behind Successful Apps

The Startup Podcast

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Causation vs. Correlation in Data Analysis

The speakers discuss the challenges in determining causal relationships in data analysis and the value of running experiments. They emphasize understanding users and intent, and the potential negative impacts of experiments on long-term metrics. The chapter also introduces industry-standard tools and a product called 'Do What Works' for learning from others' experiments.

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