Follow Nutrition Science Daily, our new 5-minute weekday morning podcast delivering the latest in nutrition, fat loss, and health science... plus simple tips to help you optimize your diet, build muscle, and improve your health—all before your high-protein breakfast!
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If you've experimented with supplements or recovery protocols and struggled to determine what's actually working versus what's just wishful thinking...
Learn how the engineering concept of Confounding Variables reveals why most self-experiments fail to give clear answers – and how to design better ones.
Using my real experience with BPC-157 for shoulder recovery as a case study, discover why changing multiple factors at once creates a "messy dataset" that can mask or amplify results.
Whether you're evaluating a supplement, modifying your training, or testing any health intervention, understanding this framework will transform how you approach self-experimentation.
Main Takeaways:
- Why controlling variables matters for supplement evaluation
- How diet changes can mask or amplify recovery results
- The hidden benefit of "messy" real-world experiments
- A systematic approach to learning from imperfect data
Episodes Mentioned:
→ Follow Nutrition Science Daily, our new 5-minute weekday morning podcast!
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