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Contenido proporcionado por Philip Pape, Evidence-Based Nutrition Coach & Fat Loss Expert, Philip Pape, Evidence-Based Nutrition Coach, and Fat Loss Expert. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Philip Pape, Evidence-Based Nutrition Coach & Fat Loss Expert, Philip Pape, Evidence-Based Nutrition Coach, and Fat Loss Expert o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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My Experiment with Peptides (BPC-157) for Shoulder Recovery (Confounding Variables) | Ep 255

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Manage episode 454927920 series 2997456
Contenido proporcionado por Philip Pape, Evidence-Based Nutrition Coach & Fat Loss Expert, Philip Pape, Evidence-Based Nutrition Coach, and Fat Loss Expert. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Philip Pape, Evidence-Based Nutrition Coach & Fat Loss Expert, Philip Pape, Evidence-Based Nutrition Coach, and Fat Loss Expert o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

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!

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!
📲 Send me a text message!

Support the show

🙋‍♀️ Ask a question here

👩‍💻 Book a FREE 15-Minute Rapid Nutrition Assessment
👥 Join our Facebook community for live Q&As & support
✉️ Join the FREE email list with insider strategies and bonus content!
📱 Try MacroFactor for free with code WITSANDWEIGHTS. The only food logging app that adjusts to your metabolism!
🏋️‍♀️ Download Boostcamp for free for evidence-based workout programs
🩷 Leave a 5-star review if you love the podcast!

  continue reading

Capíttulos

1. My Experiment with Peptides (BPC-157) for Shoulder Recovery (Confounding Variables) | Ep 255 (00:00:00)

2. Personal Experience With BPC-157 Peptides (00:00:01)

3. Exploring Peptides and Confounding Variables (00:04:13)

397 episodios

Artwork
iconCompartir
 
Manage episode 454927920 series 2997456
Contenido proporcionado por Philip Pape, Evidence-Based Nutrition Coach & Fat Loss Expert, Philip Pape, Evidence-Based Nutrition Coach, and Fat Loss Expert. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Philip Pape, Evidence-Based Nutrition Coach & Fat Loss Expert, Philip Pape, Evidence-Based Nutrition Coach, and Fat Loss Expert o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

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!

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!
📲 Send me a text message!

Support the show

🙋‍♀️ Ask a question here

👩‍💻 Book a FREE 15-Minute Rapid Nutrition Assessment
👥 Join our Facebook community for live Q&As & support
✉️ Join the FREE email list with insider strategies and bonus content!
📱 Try MacroFactor for free with code WITSANDWEIGHTS. The only food logging app that adjusts to your metabolism!
🏋️‍♀️ Download Boostcamp for free for evidence-based workout programs
🩷 Leave a 5-star review if you love the podcast!

  continue reading

Capíttulos

1. My Experiment with Peptides (BPC-157) for Shoulder Recovery (Confounding Variables) | Ep 255 (00:00:00)

2. Personal Experience With BPC-157 Peptides (00:00:01)

3. Exploring Peptides and Confounding Variables (00:04:13)

397 episodios

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