The Causal Roundup is a biweekly publication by the Statsig team that reviews significant articles on causality, particularly focusing on experimentation and causal inference in product decision-making. Highlighted in recent issues is Netflix's approach to decision-making through A/B testing, emphasizing the importance of establishing a causal chain to ensure metric movements are due to hypothesized changes rather than unintended consequences. Similarly, LinkedIn's 2019 paper discusses overcoming challenges in improving long-term metrics by using surrogate metrics, like predicted confirmed hires (PCH), to forecast their primary metric of confirmed hires. Roblox's innovative use of causal inference in assessing the Avatar Shop's impact on community engagement underscores the importance of instrumental variables and revisiting past experiment data. The publication also mentions CUPED as a method to enhance the efficiency and accuracy of experiments, with insights from experts like Ronny Kohavi and Allon Korem on fostering a robust experimentation culture. The roundup teases future content on causal analysis and product growth insights, promising practical tips and stories while reflecting on the evolution of platforms like Optimizely and Facebook in the realm of A/B testing and causal evidence.