#DataDrivenDecisions #DataScience #StatisticalFallacies In today's episode, @JonKrohnLearns is joined by Dr. Allen Downey, renowned author and professor, who shares insights from his upcoming book 'Probably Overthinking It,' breaking down underused techniques like Survival Analysis, explaining common paradoxes, discussing the dynamic Overton Window, and how to be prepared for Black Swan events. Strap in for a data-driven journey that will help you learn how to make better decisions with data! This episode is brought to you by the Zerve data science dev environment (https://zerve.ai), by Modelbit (https://modelbit.com), for deploying models in seconds, and by Grafbase (https://grafbase.com), the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit https://jonkrohn.com/podcast for sponsorship information. In this episode you will learn: • [00:00:00] Introduction • [00:04:12] Why interpreting data is not always easy • [00:13:23] What is Survival Analysis • [00:19:59] Preston's Paradox • [00:34:42] Are you Normal? • [00:40:38] How to better prepare for rare “Black Swan” events • [00:50:54] What is an Overton Window? • [01:21:19] What is the base rate fallacy? • [01:31:27] How to protect yourself from biased samples • [01:40:33] Simpson’s Paradox Additional materials: https://www.superdatascience.com/715