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Stop abusing A/B testing, toxic experimentation culture, how to run A/B tests with rigor - Che Sharma - The Data Scientist Show #071

The Data Scientist Show - Daliana Liu

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Monitoring and Guarding Metrics

This chapter emphasizes the importance of monitoring and guarding metrics during experimentation. It discusses the need for infrastructure that can provide guardrails and notify you of any negative effects on important metrics. It also introduces the concept of heterogeneous treatment effects and the significance of segmenting results to identify any bugs or issues affecting specific groups.

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