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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:
- Testosterone, Hormone Therapy, and Peptides for Health and Longevity with Dr. Rand McClain
- Peptides, Hormone Therapy, Medical Aesthetics, and Personalized Wellness with Kristin Gemme
→ Follow Nutrition Science Daily, our new 5-minute weekday morning podcast!
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