Why Great Data Still Leads to Bad Decisions (And How to Fix It) скачать в хорошем качестве

Why Great Data Still Leads to Bad Decisions (And How to Fix It)

Amy Edmondson (Harvard Business School) and Mike Luca (Johns Hopkins) join High Signal to unpack what actually drives good decisions in data‑rich organizations. Using contrasts like the Bay of Pigs vs. the Cuban Missile Crisis and product cases such as Airbnb’s work on measuring discrimination, they show how decision quality tracks conversation quality: framing options, surfacing uncertainty, and challenging assumptions. We cover common failure modes (correlation vs. causation, anchoring, hierarchy, false precision), practical meeting designs that raise the signal, and where algorithms and LLMs help or hinder human judgment. 00:00 Introduction to High-Stakes Decision Making 01:06 Meet the Experts: Amy Edmondson (Harvard Business School) and Mike Luca (Johns Hopkins) 02:25 The Importance of High-Quality Conversations 11:06 Case Study: Airbnb and Discrimination 13:57 Strategies for Effective Decision-Making 26:40 Pay Attention to Weak Signals 27:15 Statistical Significance and Variability 28:21 Confirmation Bias in Analytics 29:26 Generalizing Findings Across Markets 29:54 Bayesian Approach to Data Integration 32:59 Leadership and Decision-Making 36:09 The Role of Algorithms and Human Judgment 40:50 Data-Driven Leadership 46:34 Behavioral Economics and Decision Pitfalls 48:53 Concluding Thoughts and Takeaways