Experimentation + Causal Inference Debate

​Experimentation and causal inference are two of the most powerful tools in modern data science—but when should you use one over the other? And how do leading companies build a culture around them?

​Join us for a lively 60-minute debate featuring three of the industry's foremost experts:

• ​Chris Khawand, Principal Economist at Amazon

• ​John Meakin, Senior Staff Data Scientist at Meta

• ​Svet Semov, Staff Data Scientist/Economist at Meta

​Together, they’ll dig into the practical challenges, trade-offs, and future of experimentation and causal inference—from real-world use cases to emerging platforms and scaling best practices. The debate will be moderated by Yuzheng Sun, Staff Data Scientist at Statsig, with time for audience Q&A.

​Whether you're a data scientist, economist, product analyst, or engineering leader, this session will challenge your thinking and provide tactical insights you can apply to your work immediately.