DataFramed #119 Data-Driven Thinking for the Everyday Life
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Dec 31, 2022 Gary Wolf, Co-founder of Quantified Self, discusses the transformative power of data-driven thinking for personal growth. He explores how self-tracking can lead to meaningful life changes, from health insights to career advancement. Wolf shares the journey of building the Quantified Self community and emphasizes the importance of framing the right questions for effective self-tracking. He also highlights the role of trust in personal data projects and offers methods for connecting with others in the self-tracking space.
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Prioritize Questions Over Data
- Focus on posing a clear, answerable empirical question before collecting data.
- Avoid collecting excessive data without a guiding question, as it often leads to meaningless patterns.
Backroom Science
- Personal science prioritizes learning and solving practical problems, not rigorous certainty.
- Backroom science, with its less rigorous experiments, offers valuable clues for personal growth.
First Tracking Project
- Start with simple, daily subjective measurements like mood, restfulness, or focus.
- Use these as a foundation for later, more complex tracking and experimentation.