I Fail To Learn

Mean Time to Failure: Using feedback loops to fail faster


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In this podcast episode, Israel and Shad discuss the concept of mean time to failure and the importance of feedback loops in learning and improvement. They explore various examples, such as hard drives, cars, swimming, and becoming a doctor, to illustrate how different activities have different mean times to failure and feedback loops. They also touch on the topics of imposter syndrome, taking advice from others, and the enjoyment of the learning journey. The episode concludes with a discussion on the significance of persistence and the role of hope in the face of challenges.


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I Fail To LearnBy InkBlot Productions LLC