Fit For Science

Stephan Reichl and Rob ter Horst

Two scientists discuss how they live their best life, using science, data, tech, wearables, and systems. 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 and enable everyone to become their best N-of-1. The Quantified Scientist (Rob): youtube.com/TheQuantifiedScientist Stephan's Website: http://polytechnist.me

  1. The $100 Genome: Genetic Risk Scores & Sequencing Babies (Fit For Science Episode 13)

    1 DAG GELEDEN

    The $100 Genome: Genetic Risk Scores & Sequencing Babies (Fit For Science Episode 13)

    Rob and Stephan explore the new reality of $100 whole genome sequencing, the actionable value of polygenic risk scores, and the ethical future of personalized genomic medicine. 📝Summary Biological data scientists Rob and Stephan discuss the implications of the newly achieved $100 whole genome sequencing milestone, comparing unbiased whole genome reads to popular genotyping consumer products like 23andMe. They delve into the mechanics of genome-wide association studies and polygenic risk scores, examining how genetics interact with lifestyle and environmental factors to influence disease probability. The hosts share their personal experiences with services like Nebula Genomics, 23andMe and Dante Labs, revealing how insights, such as a high genetic predisposition for elevated ApoB levels, can drive actionable dietary changes like reducing saturated fats. Finally, they explore the psychological barriers, data privacy concerns, and ethical considerations of integrating genomic sequencing into standard medical practice and newborn screening to create a proactive, Bayesian model of preventative healthcare. ⏳Chapters 00:00:00 The $100 Genome: Cost breakthroughs and historical perspective 00:07:41 Defining Sequencing: Genotyping consumer products vs. Whole Genome Sequencing 00:16:19 Polygenic Risk Scores: Predicting complex diseases using multiple genes 00:20:44 Nature vs. Nurture: How lifestyle pulls the trigger on genetic predispositions 00:23:17 Medical Implementation: Psychological anxiety and the actionability of genetic data 00:33:03 Personal Experiences: Reviews of Nebula Genomics, 23andMe, and Dante Labs 00:44:23 Actionable Insights: Modifying saturated fat intake based on ApoB percentiles 00:54:55 A Bayesian Healthcare Model: Combining genetics, demographics, and lifestyle 01:06:20 Ethical Explorations: The future of sequencing newborns and preventative screening 📚Resources Human Genome Project cost ~$3 Billion and took ~13 years (1990-2003) How to sequence the human genome - TED-Ed Video  Genetic disorder (monogenic i.e., single-gene cause)  Scrappy San Diego startup goes toe-to-toe with gene-sequencing giant Illumina Element Biosciences Eric Topol's X post about $100 Gneom  The cost of sequencing human genome has fallen from $100M to under $100 in approximately 25 years   The $100 Genome: Where’s the Limit?  Genome-wide association study (GWAS) Polygenic score (PRS) What are Polygenic Risk Scores (PRS) and how can they be used in healthcare?  Systematic comparison of family history and polygenic risk across 24 common diseases  > “In most diseases, including coronary artery disease, glaucoma, and type 2 diabetes, a positive family history with a high PRS was associated with a considerably elevated risk, whereas a low PRS compensated completely for the risk implied by positive family history.” > “In addition to capturing shared DNA, FH [family history] measures non-genetic exposures and behaviors shared by families” Nebula Genomics now DNA Complete with subscription model George Church (geneticist)  23andMe Dante Labs Promethease for DNA reporting Reference genome  Personalized genomics  Apolipoprotein B (ApoB)   The ‘thousand-dollar genome’: an ethical exploration | European Journal of Human Genetics (2013!) …There is more: complete show notes here 🎙️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 and enable everyone to become their best N-of-1. Learn more and subscribe on your favorite platforms: YouTube Spotify Apple Podcasts Amazon Music Collection of all show notes ⚠️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.

    1u 3m
  2. How We Think About Supplements: What We Take, What We Ditched & Our Daily Protocols (Fit For Science Episode 12)

    2 MRT

    How We Think About Supplements: What We Take, What We Ditched & Our Daily Protocols (Fit For Science Episode 12)

    Rob and Stephan unpack their personal supplement protocols, discussing everything from creatine and omega-3s to the reasons they both ditched popular green powders like AG1. 📝Summary In this episode, biological data scientists Rob and Stephan explore the rationale, logistics, and science behind their personal supplementation protocols, emphasizing that supplements can never replace foundational habits like sleep, nutrition, and activity. The hosts dissect their differing approaches, with Rob detailing why he stripped his stack down to just creatine and whey protein after experiencing adverse effects like vivid dreams from L-theanine, while Stephan breaks down his extensive daily routine organized by morning, noon, and evening doses. They critically evaluate the utility and safety of compounds ranging from vitamin D3, K2, and magnesium bisglycinate to more experimental interventions like lion's mane and exogenous ketones. The conversation also covers the economics of tracking health, the potential heavy metal risks associated with popular green powders like AG1, downsides of complex blends, and the immunological implications of high protein diets. ⏳Chapters 00:00:00 Defining Supplements: Deficiencies versus performance optimization 00:04:11 The Fundamentals: Why pills cannot replace sleep and nutrition 00:09:26 Simplifying the Stack: Why Rob stopped taking pre-formulated mixes 00:15:16 Safety First: Water-soluble vitamins versus fat-soluble accumulation 00:18:23 The Morning Routine: Collagen, Vitamin C, and Electrolytes 00:26:38 The Top Three: Vitamin D3, K2, and Creatine Monohydrate 00:34:29 The Noon Routine: Lion's mane, selenium, and dark chocolate polyphenols 00:40:23 The Evening Routine: Magnesium bisglycinate, Omega-3s, and Glycine 00:46:03 The Cost of Supplementation: Budgeting for the quantified self 00:48:55 On-Demand Tools: Nicotine as a stimulant and wheat germ for spermidine 00:52:45 Protein Targets: Muscle maintenance, mTOR, and cardiovascular risk 00:58:50 Ditched Supplements: Why we stopped taking AG1 01:03:28 Future Experiments: Exploring exogenous ketones for metabolic flexibility 📚Resources Stephan's supplement stack & schedule  Creatine benefits, dosage, and side effects  Creatine: What It Does, Benefits, Supplements & Safety  What Every Vegan Should Know About Vitamin B12  Clarification: The avid listener might notice a contradiction: B vitamins are water-soluble, yet B12 is stored for years. Both can be true because it is continuously recycled in the liver, tightly bound to proteins, and too large for the kidneys to flush out. Iodine: Its Role in Thyroid Hormone Biosynthesis and Beyond  What is the effect of combining L-theanine with caffeine?  Vitamin D  Lion’s Mane Mushroom (Hericium erinaceus): A Neuroprotective Fungus with Antioxidant, Anti-Inflammatory, and Antimicrobial Potential  The Master Antioxidant: Glutathione  Magnesium Bisglycinate vs. Other Forms: Which Is Best?  Omega-3 Fatty Acids benefits, dosage, and side effects  How Much Spermidine Is in a Tablespoon of Wheat Germ?  High-protein diets increase cardiovascular risk by activating macrophage mTOR to suppress mitophagy   Fruits, Veggies, and Other Greens Supplements Review (Including Spirulina and Chlorella)  …There is more: complete show notes here 🎙️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 and enable everyone to become their best N-of-1. Learn more and subscribe on your favorite platforms: YouTube Spotify Apple Podcasts Amazon Music Collection of all show notes ⚠️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.

    1u 6m
  3. Can and Should We Live Forever? Blue Zone Myths, Longevity Drugs & The 50/50 Genetics-Lifestyle Split (Fit For Science Episode 11)

    17 FEB

    Can and Should We Live Forever? Blue Zone Myths, Longevity Drugs & The 50/50 Genetics-Lifestyle Split (Fit For Science Episode 11)

    Rob and Stephan dissect the "Nature vs. Nurture" debate in longevity, debunk Blue Zone myths, and evaluate the potential of anti-aging interventions like calorie restriction and Rapamycin. 📝Summary In this episode, biological data scientists Rob and Stephan explore the realistic limits of human lifespan, starting with the outlier case of supercentenarian Jeanne Calment. They tackle the age-old "nature vs. nurture" debate, discussing recent research that suggests a near-even split in agency compared to previous estimates, while also highlighting the "Ig Nobel" findings that attribute many Blue Zone claims to poor record-keeping or fraud rather than biological superiority. The conversation moves through the biology of aging, touching on genome-wide association studies (GWAS) and specific genes like APOE and FOXO3, before transitioning to lifestyle interventions such as calorie restriction and the concept of hormetic stress. Finally, the hosts critically evaluate the current landscape of longevity pharmacology, including Metformin, GLP-1 agonists, and Rapamycin, ultimately concluding that while living forever remains scifi, maximizing healthspan through foundational lifestyle habits remains the most effective strategy. ⏳Chapters 00:00:00 Introduction: Limits of lifespan and the "Don't Die" philosophy 00:00:40 The Maximum Lifespan: Jeanne Calment and winning the genetic lottery 00:02:46 Blue Zones Debunked: The Ig Nobel Prize for bad record-keeping 00:04:22 Nature vs. Nurture: Genetics, epigenetics, and the blueprint of life 00:07:49 Genome Wide Association Studies (GWAS): How we link genes to traits 00:12:23 Longevity Genes: APOE and FOXO3 mechanisms 00:15:44 The 50/50 Split: Recent evidence on genetic vs. lifestyle influence 00:23:36 Calorie Restriction: Mouse models, immune suppression, and hormesis 00:34:16 The Vices: Smoking, obesity, alcohol, and the hygiene hypothesis 00:39:54 Longevity Drugs: Metformin and the risk of blunting exercise gains 00:44:46 Weight Loss Drugs: GLP-1 agonists, muscle loss, and heart rate effects 00:47:11 Rapamycin: Inhibiting mTOR and the balance of anabolism vs. catabolism 00:51:00 Senolytics: Clearing "zombie cells" with Quercetin and Dasatinib 00:56:37 Life Expectancy: Realistic predictions and the definition of a good life 📚Resources Jeanne Calment Bryan Johnson Ig Nobel Prize for Blue Zone debunking Nature versus nurture Huntington's disease Correction: life expectancy is 15-25 years after the onset of symptoms, often occurring in the 20s/30s Genome-wide association study (GWAS) Centenarian Multifaceted roles of APOE in Alzheimer disease FOXO3 Central dogma of molecular biology (DNA -> RNA -> protein) Heritability of intrinsic human life span is about 50% when confounding factors are addressed (2026) Estimates of the Heritability of Human Longevity Are Substantially Inflated due to Assortative Mating (Calico 2018) CRISPR gene editing Germline Stem cell FDA Approves First Gene Therapies to Treat Patients with Sickle Cell Disease (2023)  Do ‘blue zones,’ supposed havens of longevity, rest on shaky science?  Sleep, Nutrition, Activity, Purpose (SNAP framework) Calorie restriction Hormesis Supercompensation  Progressive overload  2-year calorie restriction study (CALERIE)  …There is more: complete show notes here 🎙️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 and enable everyone to become their best N-of-1. Learn more and subscribe on your favorite platforms: YouTube Spotify Apple Podcasts Amazon Music Collection of all show notes ⚠️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.

    1u 9m
  4. How to Actually Read Your Sleep Data (Beyond Accuracy) + 7 Scientific "Cumulative Biomarkers" for Longevity (Fit For Science Episode 10)

    9 FEB

    How to Actually Read Your Sleep Data (Beyond Accuracy) + 7 Scientific "Cumulative Biomarkers" for Longevity (Fit For Science Episode 10)

    Rob and Stephan discuss why sleep stage trends matter more than absolute accuracy, review Oura's latest metrics, and define seven essential cumulative biomarkers for long-term health. 📝Summary In this episode, biological data scientists Rob and Stephan challenge the standard approach to sleep tracking validation, proposing that detecting deviations from an individual's baseline is often more valuable for the user than absolute agreement with polysomnography. The hosts shortly brainstorm the creation of an independent, crowd-funded wearable testing institute to provide unbiased data for the quantified self community and research. Then they analyze the utility of Oura’s new Sleep Debt and Cumulative Stress features, discussing how these metrics align with subjective experiences of recovery after social events like the Viennese ball season. The conversation expands into a deep dive on "cumulative biomarkers," where Stephan outlines a suite of stable, long-term health indicators, including HbA1c, VO2 max, Grip Strength, and the Omega-3 Index, that serve as superior proxies for longevity compared to transient measurements. ⏳Chapters 00:00:00 Sleep Study Analysis: User centric comparisons 00:10:39 Testing Philosophy: Why "more or less than usual" matters most 00:16:13 The Vision: A crowd-funded independent wearable testing lab 00:24:37 Oura's Trend Features: Analyzing Sleep Debt and recovery timelines 00:34:43 Cumulative Stress: Physiological stress vs “Distress” vs "Eustress" 00:41:51 Hardware Woes: The decline of Fitbit and device longevity 00:45:15 Feature Disparity: Oura Health Panels and US vs. EU regulations 00:51:22 Cumulative Biomarkers: Stable markers vs. transient snapshots 00:52:23 Metabolic Health: Why HbA1c trumps fasting glucose 00:57:55 Fitness Markers: VO2 Max and the utility of Grip Strength 01:01:31 Nutritional Status: The Omega-3 Index and cell membrane saturation 01:05:22 Organ Health: Cystatin C for kidney function and DXA for body composition 01:09:47 Cardiovascular Risk: The Coronary Artery Calcium (CAC) score 01:12:25 Smart Scales: Bio-impedance limitations and the need for handles 📚Resources In the episode we call the discussed biomarkers “integrative”, but “cumulative” better captures the intended meaning. Rob's sleep study Polysomnography  Cohen's Kappa (Statistic) Sensitivity and specificity  Oura's Sleep Debt Feature Oura's Cumulative Stress Feature Oura's Resilience Feature Oura's Daytime (Physiological) Stress feature Distress vs Eustress Electrodermal activity as proxy for stress FitBit Sense 2 (with cEDA sensor)  Oura's Health Panel feature Red blood cell Glycated hemoglobin (HbA1c)  HbA1c > 6.5% is used for diabetes diagnosis VO2 max  Grip strength as a mortality predictor Omega-3 Index (Dr. Rhonda Patrick) Cystatin C (Kidney Function) DXA Scan  Radiation comparison (DXA ~0.001mSv, US coast-to-coast round-trip flight ~0.03mSv) Coronary Artery Calcium (CAC) Score The limits of coronary calcium  Visceral Fat Preprint introducing "Peakspan" Nature Medicine paper "Shared and specific blood biomarkers for multimorbidity" 🎙️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 and subscribe on your favorite platforms: YouTube Spotify Apple Podcasts Amazon Music Collection of all show notes ⚠️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.

    1u 18m
  5. The “Dark Side” of Tracking & VO2 Max as Longevity Predictor: Testing, Training & Our Results (Fit For Science Episode 9)

    2 FEB

    The “Dark Side” of Tracking & VO2 Max as Longevity Predictor: Testing, Training & Our Results (Fit For Science Episode 9)

    In this episode, Rob and Stephan explore the psychological risks of self-quantification, the science of aerobic capacity, and the physiological nuances of lactate thresholds. 📝Summary Biological data scientists Rob and Stephan discuss the "dark side" of the quantified self, specifically focusing on orthosomnia, a condition where sleep tracking leads to increased anxiety and worsened sleep quality. They reflect on the importance of using technology as a tool for a specific purpose rather than making the tracking itself the goal. The conversation transitions into a deep dive on VO2 max, explaining its critical role as a longevity predictor and the varying results obtained from different exercise modalities like cycling and running. Finally, the hosts break down the science of lactate thresholds, explaining how the body's metabolic shift from aerobic to anaerobic states serves as a vital biomarker for training optimization. ⏳Chapters 00:00:00 Introduction: The dark side of tracking and VO2 max 00:00:55 Orthosomnia: When sleep tracking causes insomnia 00:05:09 The psychological impact of metrics and obsession 00:13:13 Tracking with purpose: Avoiding the identity trap 00:25:59 Oura Ring experiences: “Injuries” and data accuracy 00:30:50 Strength training and basal metabolic rate 00:36:47 VO2 Max: The ultimate longevity marker? 00:38:26 Hazard Ratios: Comparing fitness to smoking 00:44:39 The U-shaped curve of exercise volume 00:49:37 Gold Standard: VO2 max lab testing protocols 01:04:25 Training for capacity: The Norwegian 4x4 protocol 01:07:51 Lactate thresholds and metabolic switching 01:16:09 Wearable estimations: Garmin vs. Apple vs. Oura 01:21:47 VO2 Max Records: Oskar Svendsen (97.5) and Tadej Pogačar (96) 01:23:42 Teaser: Biological age and integrative biomarkers 📚Resources Orthosomnia The Molecular Precision Medicine Master’s Programme at Medical University of Vienna (where Rob and Stephan teach) Quote for purposeful tracking: "I shall not waste my days in trying to prolong them" - Jack London Natural language processing (NLP) Semantic analysis Development of a scale for measuring orthosomnia: the Bergen Orthosomnia Scale (BOS) Sleep tracker use nears 50%, AASM survey finds Prevalence of Orthosomnia in a General Population Sample  Dark triad (Personality Traits) Basal metabolic rate (BMR) BMR Calculator  Lean body mass was found to be the single predictor of BMR Phelps supposedly consumed 8,000-10,000 kcal per training day before the Olympic Games VO2 max Hazard ratio How does VO2 max correlate with longevity? - Peter Attia  Physical activity types, variety, and mortality: results from two prospective cohort studies  Peak oxygen uptake was strongly correlated to total heart volume Rob's VO2 max results: 58 for cycling, 54 for running Stephan's VO2 max results: 42 for cycling, 49 for running VO2 max percentile calculator VO2 Max Chart Aerobic high-intensity intervals improve VO2max more than moderate training (Norwegian 4x4)  How to Improve Your Cardio Capacity (VO2 Max) Lactate threshold for aerobic to anaerobic switch at 2mmol/litre Lactate shuttle hypothesis  Maximum heart rate formula: 220 - age in years Cooper test for VO2max estimation Walking test for VO2max estimation 🎙️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 and subscribe on your favorite platforms: YouTube Spotify Apple Podcasts Amazon Music ⚠️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.

    1u 25m
  6. AI is Changing Wearables in 2026(?) and Predicts 130 Diseases from Sleep! (Fit For Science Episode 8)

    26 JAN

    AI is Changing Wearables in 2026(?) and Predicts 130 Diseases from Sleep! (Fit For Science Episode 8)

    Rob and Stephan evaluate current AI features in wearables, break down a revolutionary paper predicting diseases from a single night of sleep, and discuss the future of medical integration into wearables. 📝Summary In this episode, biological data scientists Rob and Stephan critically assess the current use of AI in the wearable market, ranging from the practical limitations of Oura and Whoop coaches to the potential of Google’s Gemini and Withings’ biomarker-tracking devices. The central scientific discussion focuses on "SleepFM," a groundbreaking foundation model published in Nature Medicine that utilizes self-supervised learning on polysomnography data to predict over 130 diseases, biological age, and mortality risk from a single night of sleep with unprecedented accuracy. The hosts speculate on how this technology could bridge the gap between clinical sleep labs and consumer wearables, potentially transforming preventive medicine through longitudinal tracking and non-invasive sensors. ⏳Chapters 00:00:00 AI in wearables and their current capabilities 00:01:21 AI Coaches: Testing the limits of Oura, Whoop, and Garmin  00:12:24 The Smart Toilet: Withings U-Scan and the value of waste biomarkers  00:23:00 Environmental Health: PVC off-gassing and vinyl records  00:28:15 Generative AI: ChatGPT Health and Claude for Life Sciences  00:37:17 SleepFM: A multimodal sleep foundation model for disease prediction  00:43:00 Self-Supervised Learning: How foundation models learn from sleep data  00:51:00 Disease Prediction: Predicting 130 conditions with unseen accuracy 00:59:46 The Future: Translating clinical models to consumer wearables  01:19:25 Community Feedback 📚Resources Introducing Oura Advisor (not Coach) WHOOP Coach Powered by OpenAI Active Intelligence With Garmin Connect+ U-Scan Nutrio News: Withings latest smart scale (‘longevity station’) Withings Intelligence Body Scan Ketone bodies Ketosis: Definition, Benefits & Side Effects Keto Breath (“dragon breath”) Air Quality Measurement Device VINYL: Maybe it's time we had an intervention. Introducing ChatGPT Health Segment about AI in health(care) Claude in healthcare and the life sciences Clarification: Anthropic's product is called Claude with three differently sized models named Haiku, Sonnet, and Opus. ICD-10 and ICD-11 Codes: International Classification of Diseases (ICD) Understanding ICD-10 | Johns Hopkins Medicine Healthcare Spending - Our World in Data Federated learning Swarm Learning SleepFM - Nature Medicine paper Code Stanford Sleep Bench v1.0 Foundation model Attention Is All You Need (Transformers) Self-supervised learning ImageNet Fine-tuning Reinforcement learning from human feedback (RLHF) Polysomnography Recurrent neural network (LSTM) Long short-term memory (RNN) C-index: Evaluating Survival Models Best Wearables for Sleep: Scientific Rankings (2024-05) Best Wearables for Sleep: Scientific Rankings (2025-10) Philips Somnolyzer 24x7 for automated sleep staging Whoop listened(?) and is looking for a VP for Foundation AI AUROC of blood pressure to predict ASCVD ~0.80 Podcast Recommendation: Drug Story  Atorvastatin (Lipitor) Life expectancy: Netherlands (82.2) vs Austria (82.0) Diagnostic and Statistical Manual of Mental Illnesses (DSM-5) Mechanism does not imply outcome. Outcome implies mechanism. - Layne Norton No Biological Free Lunches 🎙️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 and subscribe on your favorite platforms: YouTube Spotify Apple Podcasts Amazon Music ⚠️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.

    1u 25m
  7. The 4 Types of Wearables! Epigenetic Aging & Peakspan vs Healthspan? (+ Enhanced Games) (Fit For Science Episode 7)

    19 JAN

    The 4 Types of Wearables! Epigenetic Aging & Peakspan vs Healthspan? (+ Enhanced Games) (Fit For Science Episode 7)

    Rob and Stephan categorize the modern wearable landscape, explain the shift from epigenetic to proteomic aging clocks, and debate the ethical implications of the upcoming 2026 Enhanced Games. 📝Summary In this episode, biological data scientists Rob and Stephan provide a systematic framework for navigating the wearable market by defining four distinct device categories: Sleep, Sports, Smartwatches, and Health, while highlighting the technical trade-offs between battery life, GPS robustness, and algorithmic precision. The discussion transitions into the cutting-edge science of biological aging, contrasting traditional epigenetic methylation clocks with emerging organ-specific proteomic models that offer greater interpretability and more actionable insights for disease prevention. They introduce the concept of Peakspan, a proposed metric for maintaining 90% of optimal physiological performance throughout life, and conclude with a deep dive into the 2026 Enhanced Games, exploring the transhumanist debate over the supervised use of performance-enhancing drugs in professional sports. ⏳Chapters 00:00:00 The Four Wearable Archetypes: Sleep, Sports, Smartwatch, and Health  00:11:53 Software vs. Hardware: Why Tech Giants Lead in Heart Rate Accuracy  00:24:54 Decoding Biological Age: Epigenetic Clocks and Methylation Patterns  00:40:59 The Proteomic Shift: Using Organ-Specific Clocks to Predict Morbidity  00:51:09 Beyond Healthspan: Defining Peakspan at the 90% Performance Threshold  01:03:14 Cognitive Aging: Fluid vs. Crystallized Intelligence  01:12:22 Enhanced Games 2026: The Transhumanist Future of Competitive Sports  📚Resources Epigenetics - Wikipedia  Unfolded, the DNA in a single human cell is about 2 meters (6.5 feet) long, containing roughly 3 billion base pairs. Steve Horvath's Epigenetic clock - Wikipedia The first/original clock was actually based on DNA methylation levels in saliva, not blood. An unbiased comparison of 14 epigenetic clocks in relation to 174 incident disease outcomes | Nature Communications  DNA methylation GrimAge strongly predicts lifespan and healthspan - PMC  CeMM: Landsteiner Lectures Protein-based organ aging clock research Tony Wyss-Coray, PhD Amino acid - Wikipedia DunedinPACE, a DNA methylation biomarker of the pace of aging - PMC  Amazing TIME article about biological age (published after recording 16.01.2026) The Race to Measure How We Age | TIME  -omics: Proteomics & Genomics Mayo Clinic Q and A: Lifespan vs. healthspan  Peakspan preprint paper Fluid and crystallized intelligence - Wikipedia Transhumanism - Wikipedia  Enhanced Games 2026 🎙️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 and subscribe on your favorite platforms: YouTube Spotify Apple Podcasts Amazon Music ⚠️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.

    1u 30m
  8. Is “Biological Age” Useful According to Science? Systematic 2026 Outlook & 2025 Year Review (Fit For Science Episode 6)

    14 JAN

    Is “Biological Age” Useful According to Science? Systematic 2026 Outlook & 2025 Year Review (Fit For Science Episode 6)

    Rob and Stephan analyze their 2025 health data, discuss the validity of "biological age" metrics, and set systems-based goals for the coming year. 📝Summary In this episode, biological data scientists Rob and Stephan explore how to use wearable data to review the past year and plan for a better future. They critique the "year in review" features of popular apps, debating whether these metrics provide actionable insights or merely gamified motivation. The discussion moves into the science of cardiovascular age and pulse wave velocity, highlighting how short-term exercise interventions might alter arterial stiffness markers. Reflecting on personal growth, Rob shares his transition from manual to more automated tracking for perceived happiness, while Stephan outlines a systematic "Past Year Review" framework to replace traditional New Year’s resolutions. The episode concludes with a look at 2026 technological trends, including the potential for better batteries, screenless GPS wearables, and new FDA regulatory pathways that could integrate consumer health tech into clinical practice. ⏳Chapters 00:00:00 Year in Review: Discussing App Recaps and Comparisons  00:07:47 Feedback Loops: How to Use Data Trends for Behavioral Change  00:24:48 Biological Age: Decoupling Marketing from Physiological Truth  00:35:15 Cardiovascular Age: Pulse Wave Velocity and Arterial Adaptation  00:48:57 The Importance of Controls: Lessons from a Cold Exposure Study  01:03:17 Nerve Health: Tracking Impact and Recovery via Smart Scales  01:06:54 Quitter’s Day vs. Systems: Why New Year’s Resolutions Fail  01:08:15 The Past Year Review: A Data-Driven Framework for Lifestyle Design 01:12:26 2026 Goals: Marathons, Biking Rivalries, and Life Balance  01:21:10 Professional Focus: Cutting Out Distractions to Finish Projects 01:23:54 One-Bag Travel: Reflections on Minimalist Gear and Efficiency  01:27:03 Future Wearables: GPS, Battery Tech, and FDA Regulation 📚Resources Oura 2025 year in review Whoop 2025 year in review "Comparison is the death of joy." - Mark Twain Arthur C. Brooks Personality Types Quiz Doctor Mike confronting Dr. Amen “Imperfect data can still have value” - Joe Barnard (from https://bps.space/) Heroic dose "Long-term consistency trumps short-term intensity." - Bruce Lee Whoop biological age VO2max and longevity Lancet Public Health: “7,000 steps/day linked to clinically meaningful health improvements.”: https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(25)00164-1/  Pulse Wave Velocity (PWV): https://en.wikipedia.org/wiki/Pulse_wave_velocity  PWV relationship to blood pressure: https://www.pnas.org/doi/10.1073/pnas.1814392115  Arteries: https://my.clevelandclinic.org/health/body/22896-arteries  Muscle memory in strength training Endurance memory exists and is driven by persistent structural adaptations (capillary density and cardiac remodeling) and epigenetic priming. “Quitter's day” is the second Friday in January. Stephan's Past Year Review instructions Stephan's backpack and packing list The Greek philosopher Plato proposed the Theory of Forms, asserting that the physical world consists of imperfect copies of eternal, perfect, and abstract "master" templates existing in a higher realm of reality. Oura executives (CEO and CMO) on new regulatory pathway for wearables 🎙️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 Subscribe on your favorite platforms YouTube Spotify Apple Podcasts Amazon Music ⚠️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.

    1u 42m

Info

Two scientists discuss how they live their best life, using science, data, tech, wearables, and systems. 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 and enable everyone to become their best N-of-1. The Quantified Scientist (Rob): youtube.com/TheQuantifiedScientist Stephan's Website: http://polytechnist.me

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