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. 1d ago

    #23 Google's Update Speed Is INSANE! What's announced and what’s next! (Fitbit Air & Pixel Watch)

    Rob and Stephan break down Google's latest health-tech announcements, analyzing the Pixel Watch 5's 3D-modeled GPS tracking, cutting-edge foundation models for predicting insulin resistance and hypertension, and the future of smartphone-based body composition analysis. 📝Summary In this episode, we examine the massive wave of health-tech research and firmware updates unveiled around the Google Pixel Watch 5 and Fitbit Air. Rob recounts his hands-on testing trip to Berlin with Google engineers to benchmark the Pixel Watch 5's new server-side GPS algorithms, which leverage 3D urban mapping and physics-based multipath correction against surveying-grade backpacks. The hosts then dive into Google's latest biomedical AI models, beginning with a Nature study using wearable sensor embeddings to predict insulin resistance, effectively utilizing passive biometric signals to replace missing fasting insulin labs. They dissect the WavesFM foundation model for continuous hypertension risk assessment against 24-hour ambulatory monitoring, discuss sleep apnea and emergency breathing alerts, and evaluate PhotoScan, an MRI-trained computer vision model estimating DEXA-level body fat percentage from smartphone photos. Finally, they review GlucoseFM for continuous glucose monitoring imputation and reflect on Google's cohesive strategy of bridging consumer hardware, foundation models, and clinician-evaluated personal health agents for preventative medicine. ⏳Chapters 00:00:00 Testing in Berlin: Rob's behind-the-scenes look at Google's GPS event 00:04:01 Smart Algorithms: Server-side 3D mapping and urban multipath correction 00:06:48 Benchmark Methodology: Survey backpacks, ground stations, and run metrics 00:13:38 Tech Review Dynamics: Feedback loops, NDAs, and golden sample testing 00:18:38 Made by Google: Introducing the Health Guardian suite 00:20:31 Insulin Resistance Trends: Understanding HOMA-IR and metabolic dysfunction 00:22:39 Sensor Embeddings: Replacing fasting insulin labs with wearable data 00:29:50 Hypertension Detection: Wrist-based classification vs. 24-hour cuffs 00:37:22 WavesFM: Multi-scale waveform learning and understanding preprints 00:42:13 Critical Alerts: Sleep apnea trends and breathing emergency detection 00:45:56 Personal Health Agents: Clinician-evaluated AI in Google Health 00:48:19 PhotoScan: Estimating DEXA body fat percentage from smartphone photos 00:53:40 GlucoseFM: Imputation and multi-scale dynamics for continuous glucose monitoring 00:58:00 Preventative Healthcare: Tech giants, foundation models, and systemic lifestyle nudges 📚Resources Made by Google 2026  Google Pixel Watch How we built the new GPS on Pixel Watch 5  Pixel Watch 5: Proactive assistance and advanced health tracking on your wrist Track subtle changes in your body with Health Guardian features on Pixel and Fitbit Google Fitbit Air Multipath propagation in GPS signals Insulin signal transduction pathway …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. Please leave us a review if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new ideas or a topic recommendation!  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.

    #23 Google's Update Speed Is INSANE! What's announced and what’s next! (Fitbit Air & Pixel Watch)

  2. Oct 28

    #22 Stop Wasting Time in the Gym: Largest Study Shows Best Practices

    Rob and Stephan dissect a major American College of Sports Medicine (ACSM) umbrella review on resistance training, debunking complex fitness myths and revealing the minimal effective dose for lifelong metabolic health and longevity. 📝Summary In this episode, we explore the critical importance of resistance training for metabolic health, disease prevention, and longevity. The hosts break down a comprehensive umbrella review from the American College of Sports Medicine (ACSM) that analyzed 137 systematic reviews, officially debunking widespread fitness myths regarding training to absolute failure, complex periodization, and restrictive repetition ranges. Emphasizing that the most effective training program is simply the one you can consistently maintain. They detail the minimal effective dose of just two full-body sessions per week for healthy adults. The conversation also covers the physiological role of skeletal muscle as the body's largest organ and a vital glucose sink, before concluding with an in-depth look at their personal home-based workout routines and Stephan's foundational "Safety First" rule. Fun fact: This episode was recorded during a record-breaking Vienna heatwave. If our brains sound a little melted, that's probably why! Listen and see for yourself. ⏳Chapters 00:00:00 The Resistance Training Shift: Moving beyond cardio for long-term health and longevity 00:02:37 The Four Horsemen of Disease: How muscle mass protects against metabolic and neurodegenerative conditions 00:06:26 Skeletal Muscle as a Glucose Sink: Managing blood sugar, glycogen stores, and systemic inflammation 00:10:50 Physical and Cognitive Benefits: Muscle as an insurance policy against falls, accidents, and hospitalizations 00:13:39 Age-Related Adaptations: Why it is never too late to start lifting and its positive impact on deep sleep 00:20:07 Muscle as an Endocrine Organ: The scientific paradigm shift in understanding muscle tissue beyond locomotion 00:22:02 The ACSM Umbrella Review: Analyzing data from over 30,000 participants across 137 systematic reviews 00:24:46 Debunking Fitness Myths: The truth about training to failure, complex periodization, and specific rest times 00:29:39 The Core Takeaway: Why consistency and long-term adherence always beat the "perfect" complex routine 00:31:53 Matching Training to Goals: Differentiating the protocols for building strength, hypertrophy, and power 00:36:50 Home-Based Training: The minimal effective dose of two weekly sessions and the irrelevance of fancy gym equipment 00:48:32 Repetition Ranges 00:51:24 Foundation of Strength 00:54:15 Rob’s current home workout setup and plans to incorporate gym machines for leg day 00:57:01 Stephan’s approach to safe, heavy leg training outside the gym 01:00:58 Stephan's Activity Framework: Prioritizing "Safety First" 📚Resources (2026-03) American College of Sports Medicine Position Stand. Resistance Training Prescription for Muscle Function, Hypertrophy, and Physical Performance in Healthy Adults: An Overview of Reviews Stephan's Activity Framework …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. Please leave us a review if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new ideas or a topic recommendation!  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.

    #22 Stop Wasting Time in the Gym: Largest Study Shows Best Practices

  3. Jul 16

    #21 The Rise of Screenless Wearables in 2026 + Fitbit Air vs Oura & Whoop

    Rob and Stephan dissect the rise of minimalist, screen-free health trackers, reviewing the popular Google Fitbit Air against established giants like the Oura Ring and WHOOP. 📝Summary In this episode, biological data scientists Rob and Stephan explore the growing market of screenless wearables, boosted by the recent launch of the Google Fitbit Air and massive investments in companies like Oura and WHOOP. They define the specific characteristics of these minimalist trackers, emphasizing their passive 24/7 tracking, long battery life, and deliberate lack of attention-grabbing notifications. Stephan shares his initial hands-on review of the Fitbit Air after being an Oura user for eight years, highlighting its impressive AI-powered food logging, integrated workout builder, and smart alarms, while critiquing its lack of custom journaling and granular daytime heart rate variability data. The hosts also discuss the inherent form-factor limitations of smart rings during exercise, analyze the dubious claims surrounding the drop-shipped Hume band, and examine how tech giants like Google are using these affordable devices to become ecosystem leaders. Finally, they offer practical tips on syncing multiple wearables via Apple Health without data conflicts.  ⏳Chapters 00:00:00 Screenless Wearables: The market shift towards minimalist trackers and the new Fitbit Air 00:01:21 Early Adopter: Why Stephan bought the Fitbit Air after 8 years with Oura  00:11:03 Defining the Category: What makes a wearable truly "screenless" 00:18:57 The Wearable Landscape: Amazfit Helio strap, Polar Loop, and smart rings  00:22:03 The Hume Band Scam: Drop-shipping, AliExpress clones, and fake scientists 00:26:23 Form Factor Limits: Why smart rings struggle with cycling and weightlifting 00:28:50 Divergent Data: Comparing wildly different readiness scores between Oura and Fitbit 00:34:05 Subscription Models: Device costs and the necessity of paid app memberships 00:50:42 Fitbit Air Review (Likes): AI nutrition logging, workout builders, and smart alarms 00:57:48 Fitbit Air Review (Dislikes): Missing custom tags, daytime HRV, and slow activity detection 01:05:30 Data Management: How to safely sync Fitbit Air with Apple Health 01:11:18 Final Verdict: Will Stephan ditch the Oura Ring for the Fitbit Air? 📚Resources  The New Google Fitbit Air and Other Fitness Bands Are Losing Screens—and Gaining Fans - WSJ Google Fitbit Air Sharing upcoming roadmap and improvements - Google Health Oura Ring 5 WHOOP  Correction: The first Whoop band officially became available and started shipping to elite athletes and professional sports teams already in 2015. Same year as the first generation Oura ring, which was sold as an end consumer product. It looks like Garmin is finally preparing its Google Fitbit Air-style screenless band, the Cirqa, for launch — but I hope it doesn't copy Google's approach to revamping its fitness app | TechRadar  Helio Strap  Zepp App  Amazfit Helio Strap does not require a subscription, but there is an optional premium add-on called Zepp Aura, a personalised Rest and Wellness Service. Ultrahuman Polar Loop Hume Band2.0  Explore Galaxy Ring Correction: Google Health loads for most, but not all, relevant Apple Health entries the last three months. …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.

    #21 The Rise of Screenless Wearables in 2026 + Fitbit Air vs Oura & Whoop

  4. Jul 1

    #20 Google Wants Your Fitbit Data for AI! And it’s not (all) bad news!

    Rob and Stephan dissect Google’s groundbreaking "Sensor FM" paper, exploring how a foundation model, trained on trillions of wearable data minutes, could revolutionize preventive healthcare and disease prediction. 📝Summary In this episode, biological data scientists Rob and Stephan break down Google's latest research introducing Sensor FM, a massive foundation model trained on over one trillion minutes of multimodal wearable data across 5 million users. They explore the technical mechanics under the hood, including its encoder-decoder architecture, its alignment with deep learning scaling laws, and a unique "AI classroom" setup where collaborating virtual agents optimize 35 distinct clinical health prediction tasks. The hosts discuss the profound implications of using generative AI like Gemini to transform these raw sensor representations into clinician-approved lifestyle recommendations, while critically evaluating the delicate trade-offs between continuous behavioral nudging, hidden human blind spots, and systemic data privacy risks. Finally, Stephan shares his upcoming personal testing protocol for the new Fitbit Air as a potential alternative to his long-term Oura ring setup. ⏳Chapters 00:00:00 Wearable Data Predictions: Google’s motivation for tracking disease and lifestyle indicators  00:01:48 Google Health Platform: The strategic endgame of consolidating consumer health tracking  00:04:00 The Interface Layer: Transforming raw hardware signals into actionable health insights  00:07:13 Introducing Sensor FM: A deep learning foundation model for wearable health data  00:10:15 Overcoming Data Labels: High phenotypic diversity and few-shot learning  00:12:37 Data Privacy vs. Preventive Care: Evaluating the societal trade-offs of deep tracking  00:17:18 Encoder-Decoder Architecture: The science of signal compression and reconstruction  00:18:43 Trillion-Minute Dataset: Mapping 5 million global wearable users 00:22:27 Empirical Scaling Laws: Maximizing compute and parameters for improved performance 00:27:19 The AI Classroom Experiment: Peer collaboration mechanisms among virtual agents  00:39:07 Gemini Judged by Clinicians: Blind evaluation of AI-generated health recommendations  00:44:57 Behavioral Nudging and Alignment: Addressing the blind spots of metric-driven optimization  00:50:42 Insurance Risk Paradigms: The dangers of continuous data history in for-profit healthcare  00:53:26 Fitbit Air vs. Oura Ring: Stephan’s upcoming personal logging experiment 📚Resources SensorFM from Google SenseFM: Towards a General Intelligence and Interface for Wearable Health Data  Google Fitbit Air, das Fitness - Tracker-Armband  Google Health  Foundation model Embedding (machine learning)  Generative AI  Supervised learning Few-shot learning Wearables with hypertension features: Huawei D2, Apple Watch, Whoop, Oura Nudging Dimensionality reduction Prince Charles’ “middle finger” dimensionality reduction example Sam Altman tweet: “there is no wall” Correction: The Netherlands is divided into 12 provinces and 3 special overseas municipalities "Life can only be understood backwards; but it must be lived forwards." - Søren Kierkegaard …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.

    #20 Google Wants Your Fitbit Data for AI! And it’s not (all) bad news!

  5. Jun 10

    #19 The Harmful “Longevity Bubble” + Updates from Oura, WHOOP, and Google's New FitBit Air

    In this episode, biological data scientists Rob and Stephan examine Oura's cardiovascular age validation study, discuss WHOOP's new medical concierge service, critically analyze the overhyped commercialization of the longevity bubble, and explore the citizen science potential of the Google Fitbit Air. 📝Summary In this episode, biological data scientists Rob and Stephan break down recent structural shifts in the consumer health-tech industry, critically analyzing the transparency and financial conflicts of interest within a newly published Oura validation study on cardiovascular age tracking. They critique WHOOP’s new opt-in medical concierge service, highlighting that well-informed users can often interpret their own baseline metrics more effectively. Transitioning into the commercial "longevity bubble," the hosts dismantle overhyped, unproven, and highly expensive products, such as bespoke blood panels and premium health clubs, by explaining that 80% of longevity gains stem from free or cheap, evidence-based fundamentals like consistent sleep, regular activity, a balanced diet, and resistance training. Finally, they evaluate the hardware and subscription-free utility of the new screen-free Google Fitbit Air, exploring its practical applications as a robust tool to capture population-level sleep and activity patterns across diverse demographics within the large-scale Vienna Prevention Project (ViPP). ⏳Chapters 00:00:00 Wearable Updates: Oura, Whoop, and the Google Fitbit Air 00:01:03 Cardiovascular Age: Oura's validation study and conflict of interest concerns 00:06:57 Medical Consultations: Evaluating Whoop's physician integration 00:13:01 The Longevity Bubble: Why extreme spending yields diminishing returns compared to basic health habits 00:19:34 Bryan Johnson's Blueprint: Analyzing the $1 million protocols versus free lifestyle fundamentals 00:27:01 Communicating Science: Why Dr. Mike effectively cuts through health influencer noise 00:30:06 Google Fitbit Air: Discussing the new screen-free, subscription-free tracker 00:35:55 Sleep Inertia: The psychological and physiological benefits of timed wake-ups 00:40:43 The Vienna Prevention Project (ViPP): Deploying wearables to 20,000 citizens for public health 00:48:42 Wearable Accuracy vs App Experience: Finding the Goldilocks zone for tracking devices 📚Resources Pulse wave velocity (PWV) New NUS Research Validates Oura’s Vascular Age Estimation, a Key Indicator of Cardiovascular Health - The Pulse Blog  Vascular age estimation using a consumer wearable sleep tracker | PLOS Digital Health WHOOP just hired doctors. - LinkedIn post  VIP medicine Bryan Johnson  Methylation clocks and epigenetic aging [...] the variation from test to test is so high that any given result is essentially statistically meaningless.[...] - Matt Kaeberlein on LinkedIn The Truth About Biological Age Tests  Dunedin Pace | Rejuvenation Olympics  Bryan Johnson's $1M 42 point longevity protocol and Stephan's comment   Doctor Mike: Evidence-Based Medical Communicator on YouTube  Google Fitbit Air, Fitness Activity Tracker Band  Rob's videos on Google's FitBit Air (so far) Fitbit Air: The $99 Future of Fitbit (WHOOP alternative)  The Fitbit Air Found WHOOP’s Weak Spot!  Fitbit: Scientific Sleep Test!  …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.

    #19 The Harmful “Longevity Bubble” + Updates from Oura, WHOOP, and Google's New FitBit Air

  6. Jun 3

    #18 Will AI Actually Cure All Diseases? The Promise, Limits & Our Contributions to “AI for Science”

    Stephan and Rob explore the ambitious claims made by AI industry leaders about rapid scientific advancement due to AI. They provide an introduction to the "AI for Science" field and analyze the fundamental physical limitations that govern the acceleration of biomedical discovery through AI. 📝Summary Biological data scientists Stephan and Rob evaluate the grand claims made by major tech executives regarding artificial (general) intelligence compressing a century of scientific breakthroughs into a single decade. By analyzing a recent paper co-authored by Stephan, the hosts break down the theoretical limits of general-purpose AI systems when faced with physical world restrictions. They emphasize that while cognitive tasks like literature synthesis, data analysis, and manuscript preparation can be massively accelerated, the time constants of the physical world remain irreducible bottlenecks. The conversation balances the promise of AI for science, including the hosts contributions to and beliefs in the field, with realistic infrastructure and policy demands, and the psychological and technical risks of relying on systems we do not fully comprehend. ⏳Chapters 00:00:00 Machines of Loving Grace: Dario Amodei and compressing a century of progress into a decade 00:04:10 Theoretical Scaffolding: Defining general purpose AI versus narrow machine learning systems 00:06:20 Cognitive vs Physical Domains: Splitting the lifecycle of a scientific research project & irreducible bottlenecks 00:15:35 Human Creativity and Technical Debt: The risk of losing comprehension via vibe engineering 00:19:01 Strategic Proxies: Using predictive biomarkers to capture outcomes early and bypass constraints 00:25:48 Emergence of “AI Co-Scientists”: Discovery of digital biomarkers from wearable datasets 00:38:15 Discovery Deficits: Why modern molecular biology is data-rich but discovery-poor 00:39:23 AI for Science: FutureHouse, Marinka Zitnik's ToolUniverse and James Zou's virtual lab 00:43:54 Simulating biomedicine with AI: What we did with early access to GPT-4 in 2023 00:49:57 Matthias Samwald, the EU General-Purpose AI Code of Practice and Accelerate Europe: Balancing trustworthiness and acceleration 00:54:55 MrBiomics: Automating biomedical data analysis using workflows and AI 00:58:44 Summary: Accelerating scientific discovery is possible, but not easy 📚Resources ⁠Stephan's recent paper: What are the limits to biomedical research acceleration through general-purpose AI?⁠ Social meda: ⁠LinkedIn⁠, ⁠X⁠, ⁠Press release: Potential and limitations of AI in biomedical research⁠  ⁠A multimodal sleep foundation model for disease prediction⁠ -> we discussed this paper before in episode 8: ⁠AI is Changing Wearables in 2026(?) and Predicts 130 Diseases from Sleep! (Episode 8)⁠  ⁠Rob's and Stephan's 2023 AI paper: GPT-4 as a biomedical simulator⁠ ⁠Press release: "ChatGPT" for biomedical simulations⁠ Correction: GPT-4 predates o1-preview by 1 year and 6 months, not 6 months ⁠Matthias Samwald⁠  Previously: Co-chair of the Safety & Security chapter of the ⁠EU's General-Purpose AI Code of Practice⁠  Now: ⁠Accelerate Europe⁠ coordinator Stephan's passion project: ⁠MrBiomics: Composable modules and recipes automate bioinformatics for multi-omics analyses⁠ …There is MUCH 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.

    #18 Will AI Actually Cure All Diseases? The Promise, Limits & Our Contributions to “AI for Science”

  7. May 18

    #17 The Three Dimensions of Wearables: Hardware, Algorithms and Apps (UI/UX)

    Rob and Stephan break down the three critical dimensions of wearables—hardware, algorithms, and UI/UX—to explain what truly drives accurate health and sports tracking. 📝Summary Biological data scientists Rob and Stephan explore the three foundational pillars that determine the quality of health and sports tracking wearables: hardware, algorithms, and Apps (UI/UX). They begin by evaluating the maturity of physical sensors like PPG and accelerometers, noting that while hardware capabilities have largely plateaued in high-end devices, energy density and battery technology continue to improve. The conversation then shifts to the critical differentiating factor of algorithms, breaking them down into three levels of complexity: direct on-device processing of heart rate, second-order computations for metrics like sleep staging, and highly advanced long-term disease risk predictions. Finally, the hosts discuss how the user interface and user experience tie these elements together, highlighting the importance of data presentation and the emergence of pure data aggregators in the wearable market. ⏳Chapters 00:00:00 The Three Dimensions of Wearable Performance 00:02:26 Hardware: The Foundation of Wearable Sensors 00:06:15 Understanding Raw Signals and Sensor Interference 00:09:46 Battery Technology and Hardware Durability 00:15:41 Level 1 Algorithms: Direct On-Device Processing (e.g., Heart rate) 00:23:51 Level 2 Algorithms: Derived Metrics (e.g., Sleep Stages) 00:55:50 Level 3 Algorithms: High-Level Aggregations (e.g., Long-Term Disease Risk) 00:56:20 Apps (UI & UX): The Final Wearable App Experience 📚Resources Photoplethysmogram (PPG) Accelerometer Global Positioning System (GPS) Pulse oximetry (SpO2 Sensor) Holter monitor (ECG) Polysomnography (Sleep Study) Heart rate variability (HRV) Dual carbon battery  Edge computing  Embedded system Pulse wave velocity (PWV) Foundation model (AI) User experience (UI/UX) Garmin Oura Health Apple Watch The accuracy of Apple Watch measurements: a living systematic review and meta-analysis Whoop Bevel  Athlytic  Garbage in, garbage out (GIGO) Introducing the new Google Fitbit Air  A Systematic Review of Chest-Worn Sensors in Cardiac Assessment: Technologies, Advantages, and Limitations  …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.

    #17 The Three Dimensions of Wearables: Hardware, Algorithms and Apps (UI/UX)

  8. May 9

    The 1-Minute Exercise Myth, Exercise & Mortality, Athletes' Health Risks & Rob's 8-Watch Marathon (Fit For Science #16)

    In this episode of Fit For Science, Rob and Stephan explore the complex relationship between various exercise types, intensity levels, and mortality, while also recounting Rob's intense DIY smartwatch-testing marathon. 📝Summary In this episode, Rob and Stephan dive into the nuanced impacts of physical activity on mortality and disease risk, emphasizing that while exercise is universally beneficial, its effects vary by type, intensity, and duration. The hosts unpack a 30-year cohort study involving over 111,000 participants, highlighting that 20 MET hours per week and a variety of activities optimally reduce mortality risk, with walking being highly effective. They critically examine recent wearable-based studies claiming that a few minutes of vigorous intermittent lifestyle physical activity (VILPA) can drastically substitute for longer low-intensity sessions, pointing out the limitations of substitution modeling. Furthermore, the discussion touches on "masters athletes," exploring how extreme, long-term exercise volumes can lead to unique cardiovascular adaptations and potential risks like atrial fibrillation or bradyarrhythmias, underscoring the need for specialized cardiological care. Finally, Rob shares his experience running a solo marathon fueled by a stationary bike feed station to test the GPS accuracy of eight different smartwatches simultaneously. ⏳Chapters 00:00:00 The DIY Marathon: Rob recounts his solo marathon to test eight smartwatches 00:13:48 Exercise and Mortality: A 30-year study on MET hours, activity types, and death risk 00:23:38 Walking vs. Swimming: Different mortality correlations between specific sports 00:28:46 The Power of Variety: How mixing exercise types significantly lowers mortality risk 00:32:49 VILPA and Vigorous Exercise: Analyzing studies on high intensity exercise 00:38:17 Critiquing claims that one minute of vigorous activity equals 54 minutes of low intensity activity 00:44:49 Masters Athletes: Defining high-performing athletes over 35 and their cardiovascular health 00:51:56 The Athlete's Heart: Exploring cardiovascular specific risks in endurance athletes 01:00:49 Final takeaways on balancing exercise intensity and seeking appropriate medical advice 📚Resources Physical activity types, variety, and mortality: results from two prospective cohort studies  Mix of different types of physical activity may be best for longer life  Metabolic equivalent of task (MET)  Association of wearable device-measured vigorous intermittent lifestyle physical activity (VILPA) with mortality  Wearable device-based health equivalence of different physical activity intensities against mortality, cardiometabolic disease, and cancer  Why Vigorous Exercise Is 4–10x More Effective Than Moderate (New Evidence)  The Best Type of Exercise for Longevity 1 Minute of Vigorous Activity Same as 53 Minutes of Light Intensity? Masters Athletes With Abnormal Cardiovascular Findings  The Recreational Athlete's Heart  Bradycardia  …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.

    The 1-Minute Exercise Myth, Exercise & Mortality, Athletes' Health Risks & Rob's 8-Watch Marathon (Fit For Science #16)
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4.8
out of 5
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About

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

Information

  • Creator
    Stephan Reichl and Rob ter Horst
  • Years Active
    2025 - 2026
  • Episodes
    23
  • Rating
    Clean
  • Copyright
    © Stephan Reichl and Rob ter Horst
  • Show Website
    Fit For Science

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