Causal Modeling Insights
Sean discusses the impact of Covid on Lyft's operations and emphasizes the importance of long-term thinking in business strategy. He highlights the challenge of assembling a diverse team with complementary skills to tackle complex problems. The conversation also delves into the significance of causal modeling, illustrating its advantages beyond mere correlation in understanding relationships between variables.In this clip
From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn
SDS 617: Causal Modeling and Sequence Data — with Sean Taylor
Related Questions
As with all the rest of your career, it seems a theme throughout your work at Lyft was the application of causal modeling. Perhaps you can give our listeners a taste of why and when causal modeling is helpful beyond just having an understanding of the correlation between two variables.
Why is company culture important in the context of the a16z Podcast episode "Raising Money and Valuing Startups -- What Happens When Things Don't Go As Planned?" and the clip "Building a Sustainable Culture?"