Things Go South When You Trust DATA Too Much - Goodhart's Law - FutureIQ

Goodhart's law suggests that when the measure becomes the primary target, it ceases to become a good measure. Here is Navin & Shrikant explaining Goodhart's law with different examples and proving how data can be manipulated and can cause more adverse effects than intended. Learn about the Cobra effect, Mcnamara's fallacy and other examples of Goodhart's laws in this simple, fun and short video. Hope you enjoyed FutureIQ by Navin Kabra and Shrikant Joshi. Do hit us up on Twitter: @ngkabra http://twitter.com/ngkabra @shrikant https://twitter.com/shrikant Listen to The FutureIQ Podcast on the podcast provider of your choice: https://tapthe.link/FutureIQRSS Watch other episode: Learn about the law that helps you detect fraud: https://youtu.be/JHA2QpJKGN4 Links: Cobra effect: https://tapthe.link/CobraEffect Keith Rabois' paired indicators: https://tapthe.link/KRPairedIndicators Chapters: Chapters: 00:00 Introduction 00:26 The cobra effect 03:04 Example 2 04:10 Applications of Goodhart's law 04:58 Example 3 05:35 Is data bad? 06:31 Example 4 08:37 Measurements vs Gut instincts 09:53 Example 5 11:00 Example 6 12:20 Conclusion #thefutureiq #cobraeffect