Introduction

2min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

Analytics topics covered conversationally and sometimes with explicit language. This episode we're diving into causal inference again. Because if we aren't talking about culture, did you hear that thundercrash? That was awesome. Don't shoot the organ music. One of the boys standing with those sheet of tin off his side, rattleing the... The thunderstorm from Atlanta, Georgia, commenting on this episode.

What causes us to keep returning to the topic of causal inference on this show? DAG if we know! Whether or not you're familiar with directed acyclic graphs (or… DAGs) in the context of causal inference, this episode is likely for you! DJ Rich, a data scientist at Lyft, joined us to discuss causality — why it matters, why it's tricky, and what happens when you tackle causally modelling the complexity of a large-scale, two-sided market! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.