Podcast•Apr 28, 2026•1h 4m
#296: Avoiding Major Oopsies: Twyman’s Law, Intuition, and Valuing Accuracy Over Precision
In this episode of the Analytics Power Hour, host Tim Wilson and co‑hosts Mo Kiss and Julie Hoyer talk with Atlassian senior principal data scientist Eric Friedman about the pitfalls of trusting data too readily. Eric shares a real‑world story where an inflated active‑user metric, initially celebrated, turned out to be caused by a bug that his intuition had flagged but he failed to act on. He explains how data scientists should balance rigorous analysis with gut feeling, become more opinionated, and embed themselves in their business partners’ language to catch errors early. The conversation also delves into the classic accuracy‑vs‑precision trade‑off, emphasizing that in product analytics it’s often better to prioritize accurate, trustworthy insights over overly precise but potentially misleading numbers.
