Rob and Stephan dive into the "deep sleep problem" of the Apple Watch, share their personal motivations for long-term self-quantification, and provide a science-heavy look at why creatine is one of the most underappreciated supplements in medicine.

📝Summary

In this episode, Rob addresses the controversy surrounding Apple Watch sleep staging based on a recent study comparing wearables to polysomnography, explaining why the device often underestimates deep sleep stages while remaining a top-tier consumer tool. The hosts explore the "why" behind their data-driven lifestyles, with Rob detailing his unique multi-year deep-phenotyping research and Stephan describing the psychological benefits of leveraging the Hawthorne effect for behavioral change. Finally, they provide a comprehensive breakdown of creatine supplementation, addressing medical misconceptions about kidney health, while also highlighting emerging research on creatine’s cognitive benefits.

⏳Chapters

00:02:00 The Sleep Study: Comparing Apple Watch to the Gold Standard

00:12:41 Staging Accuracy: Pattern Recognition and Consistency Preferences

00:17:15 Battery vs. Precision: Why Apple Limits Sensor Input

00:24:20 Evolving Models: Firstbeat, Garmin, and Machine Learning on the Edge

00:29:48 Why We Track: Rob’s Multi-Year Deep Phenotyping Research

00:38:29 Finding the Niche: From Science Communication to YouTube

00:44:17 Daily Routines: When and How to Check Your Data

00:50:52 Healthy Limits: Preventing Tracking-Induced Anxiety

00:56:48 Creatine and Kidney Health: Addressing Doctor Concerns

00:57:50 Informed Discussions: How to Present Data to Medical Professionals

01:08:18 Cellular Energy: Creatine’s Role in ATP Production

01:13:04 Brain Health: Creatine for Sleep Deprivation and Neuroprotection

01:19:32 Personal Risk Analysis: Hair Loss, Finasteride, and Trade-offs

01:28:03 Soleus Muscle Correction and Smartwatch Histories

📚Resources

Rob's sleep study preprint: https://osf.io/preprints/psyarxiv/27wun_v1 

Apple sleep staging paper: https://www.apple.com/health/pdf/Estimating_Sleep_Stages_from_Apple_Watch_Oct_2025.pdf 

Quantization in AI: https://arxiv.org/abs/2106.08295 

Oura technical support confirmed that Oura's sleep staging is processed offline by the Oura App, which runs the complete sleep staging pipeline using the physiological signals shared by the ring, regardless of internet connection.

Simon Sinek's Start with Why: https://youtu.be/u4ZoJKF_VuA 

EXG Glossary: EEG (Electroencephalogram), EOG (Electrooculogram), ECG  (Electrocardiogram), EMG (Electromyogram)

Supplement research database: https://examine.com 

Goodhart's Law: When a measure becomes a target, it ceases to be a good measure.

Kidney physiology: https://youtu.be/l128tW1H5a8 

Stephan's Creatine page: https://stephanreichl.notion.site/Creatine-117301f67e4c80fcbce8e9f489aad9c9 

Hypertrophy (size) vs hyperplasia (numbers): https://pubmed.ncbi.nlm.nih.gov/5917072/ 

Fidgeting (NEAT) study: https://pubmed.ncbi.nlm.nih.gov/11101470/ 

🎙️About

Fit For Science is a deep-dive podcast hosted by two biological data scientists, Rob and Stephan, exploring the intersection of research, health tech, and data-driven lifestyle design. The hosts provide evidence-based systems, layered with practical "N=2" personal experimentation, to cut through the noise in the health and fitness industry.

Learn more: https://www.fitforscience.com/ 

Subscribe on your favorite platforms

YouTube: https://www.youtube.com/@FitForScience 

Spotify: https://open.spotify.com/show/56TjUxuMsPETb0kGEJ7nwf 

Apple Podcasts: https://podcasts.apple.com/us/podcast/fit-for-science/id1863479802

Amazon Music: https://music.amazon.de/podcasts/c3e54ee7-4a2c-442e-a59f-553fbfb02b11/fit-for-science 

⚠️Disclaimer: This podcast represents our own opinions and is for informational purposes only. It does not constitute medical or financial advice or a professional relationship.