Super Data Science: ML & AI Podcast with Jon Krohn
Super Data Science: ML & AI Podcast with Jon Krohn

518: Fail More

This week, I provide a short but important bit of advice on failure. Additional materials: www.superdatascience.com/518

Featured Speakers

Jon Krohn Host

Topics Discussed

Episode Summary

Executive Summary: The episode argues that failing is beneficial because it signals you are taking meaningful risks and expanding your capacity. The host urges listeners to treat failure objectively, like a scientist reviewing data, then iterate and try again. Overall, the message is to embrace experimentation, learn from setbacks, and keep pushing toward growth.

Main Topics: Failing as a positive sign: The host frames failure as evidence that a person is challenging themselves enough to grow, rather than playing too safely. Risk-taking and ambition: If someone is never failing, the host suggests they are not aiming high enough or stretching their abilities sufficiently. Detaching ego from failure: Listeners are encouraged not to personalize failure, but to observe it as objective feedback rather than a reflection of self-worth. Scientist mindset and iteration: Failure is compared to a data point in an experiment: evaluate it objectively, learn from it, improve, and try again. Learning through persistence: Even without immediate success, continued attempts generate self-knowledge, world knowledge, and new possibilities. Encouragement to keep going: The episode closes with a motivational reminder to stay resilient and continue pursuing goals.

Key Arguments: Failing is good because it indicates you are taking sufficiently large risks. Not failing may be a bigger problem than failing, because it can mean you are under-challenging yourself. Failure should be treated as information, not as a personal verdict. A scientist-like approach helps people analyze setbacks objectively and improve through iteration. Persistence can still produce value even if the original goal is not achieved, because it expands perspective and reveals new opportunities.

Pivotal Quotes: "failing is good." — Host: Core thesis of the episode, stated at the outset. "If you're not failing, then that means you're not taking big enough risks." — Host: Explains why the absence of failure can signal underperformance or low ambition. "evaluate this new data point objectively" — Host: Advice to detach emotionally from failure and treat it like experimental evidence.

Implications: Listeners are encouraged to reframe setbacks as progress markers, take bolder risks, and use failure as feedback to accelerate learning and future success.

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