Podcast thumbnail for Fit For Science

Fit For Science

Claim This Podcast

by Stephan Reichl and Rob ter Horst

5.0(26 reviews)
21 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇦🇹

Podcast Overview

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

Language

🇺🇲

Publishing Since

12/22/2025

1 verified contact email on file for Fit For Science

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

Recent Episodes

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

July 16, 2026

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

<p>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.</p><p><br></p><p><strong>📝Summary</strong></p><p>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. </p><p><br></p><p><strong>⏳Chapters</strong></p><p>00:00:00 Screenless Wearables: The market shift towards minimalist trackers and the new Fitbit Air</p><p>00:01:21 Early Adopter: Why Stephan bought the Fitbit Air after 8 years with Oura </p><p>00:11:03 Defining the Category: What makes a wearable truly &quot;screenless&quot;</p><p>00:18:57 The Wearable Landscape: Amazfit Helio strap, Polar Loop, and smart rings </p><p>00:22:03 The Hume Band Scam: Drop-shipping, AliExpress clones, and fake scientists</p><p>00:26:23 Form Factor Limits: Why smart rings struggle with cycling and weightlifting</p><p>00:28:50 Divergent Data: Comparing wildly different readiness scores between Oura and Fitbit</p><p>00:34:05 Subscription Models: Device costs and the necessity of paid app memberships</p><p>00:50:42 Fitbit Air Review (Likes): AI nutrition logging, workout builders, and smart alarms</p><p>00:57:48 Fitbit Air Review (Dislikes): Missing custom tags, daytime HRV, and slow activity detection</p><p>01:05:30 Data Management: How to safely sync Fitbit Air with Apple Health</p><p>01:11:18 Final Verdict: Will Stephan ditch the Oura Ring for the Fitbit Air?</p><p><br></p><p><strong>📚Resources</strong></p><p> <a href="https://www.wsj.com/tech/personal-tech/fitness-bands-fitbit-air-oura-whoop-ecb94c69"><u>The New Google Fitbit Air and Other Fitness Bands Are Losing Screens—and Gaining Fans - WSJ</u></a></p><p><a href="https://store.google.com/de/product/google_fitbit_air"><u>Google Fitbit Air</u></a></p><p><a href="https://support.google.com/googlehealth/thread/437068226/sharing-upcoming-roadmap-and-improvements?hl=en"><u>Sharing upcoming roadmap and improvements - Google Health</u></a></p><p><a href="https://ouraring.com/store/rings/oura-ring-5"><u>Oura Ring 5</u></a></p><p><a href="https://www.whoop.com/"><u>WHOOP</u></a> </p><p>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.</p><p><a href="https://www.techradar.com/health-fitness/fitness-trackers/it-looks-like-garmin-is-finally-preparing-its-google-fitbit-air-style-screenless-band-the-cirqa-for-launch-but-i-hope-it-doesnt-copy-googles-approach-to-revamping-its-fitness-app"><u>It looks like Garmin is finally preparing its Google Fitbit Air-style screenless band, the Cirqa, for launch — but I hope it doesn&#39;t copy Google&#39;s approach to revamping its fitness app | TechRadar</u></a> </p><p><a href="https://de.amazfit.com/products/helio-strap"><u>Helio Strap</u></a> </p><p><a href="https://us.amazfit.com/pages/zepp-app"><u>Zepp App</u></a> </p><p>Amazfit Helio Strap does not require a subscription, but there is an optional premium add-on called <a href="https://aura.zepp.com/"><u>Zepp Aura</u></a>, a personalised Rest and Wellness Service.</p><p><a href="https://www.ultrahuman.com/global/ring/"><u>Ultrahuman</u></a></p><p><a href="https://www.polar.com/en/loop"><u>Polar Loop</u></a></p><p><a href="https://humehealth.com/pages/hume-bandv2"><u>Hume Band2.0</u></a> </p><p><a href="https://www.samsung.com/us/rings/galaxy-ring/"><u>Explore Galaxy Ring</u></a></p><p>Correction: Google Health loads for most, but not all, relevant Apple Health entries the last three months.</p><p>…There is more: <a href="https://docs.google.com/document/d/1LCIm780Aue5573FWVpyDve5Wm_DBTwDqfzoZ5zTqeyY/edit?usp=sharing"><u>complete show notes here</u></a></p><p><br></p><p>🎙️<strong>About</strong></p><p><strong>Fit For Science</strong> 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 &quot;N=2&quot; personal experimentation, to cut through the noise and enable everyone to become their best N-of-1.</p><p><br></p><p><a href="https://creators.spotify.com/pod/profile/fitforscience/"><u>Learn more</u></a> and subscribe on your favorite platforms:</p><p><a href="https://www.youtube.com/@FitForScience"><u>YouTube</u></a></p><p><a href="https://open.spotify.com/show/56TjUxuMsPETb0kGEJ7nwf"><u>Spotify</u></a></p><p><a href="https://podcasts.apple.com/us/podcast/fit-for-science/id1863479802"><u>Apple Podcasts</u></a></p><p><a href="https://music.amazon.de/podcasts/c3e54ee7-4a2c-442e-a59f-553fbfb02b11/fit-for-science"><u>Amazon Music</u></a></p><p><a href="https://docs.google.com/document/d/1LCIm780Aue5573FWVpyDve5Wm_DBTwDqfzoZ5zTqeyY/edit?usp=sharing"><u>Collection of all show notes</u></a></p><p><br></p><p><strong>⚠️Disclaimer</strong>: This podcast represents our own opinions and is for informational purposes only. It does not constitute medical or financial advice or a professional relationship.</p>

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

July 1, 2026

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

<p>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.</p><p><br /></p><p><strong>📝Summary</strong></p><p>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.</p><p><br /></p><p><strong>⏳Chapters</strong></p><p>00:00:00 Wearable Data Predictions: Google’s motivation for tracking disease and lifestyle indicators </p><p>00:01:48 Google Health Platform: The strategic endgame of consolidating consumer health tracking </p><p>00:04:00 The Interface Layer: Transforming raw hardware signals into actionable health insights </p><p>00:07:13 Introducing Sensor FM: A deep learning foundation model for wearable health data </p><p>00:10:15 Overcoming Data Labels: High phenotypic diversity and few-shot learning </p><p>00:12:37 Data Privacy vs. Preventive Care: Evaluating the societal trade-offs of deep tracking </p><p>00:17:18 Encoder-Decoder Architecture: The science of signal compression and reconstruction </p><p>00:18:43 Trillion-Minute Dataset: Mapping 5 million global wearable users</p><p>00:22:27 Empirical Scaling Laws: Maximizing compute and parameters for improved performance</p><p>00:27:19 The AI Classroom Experiment: Peer collaboration mechanisms among virtual agents </p><p>00:39:07 Gemini Judged by Clinicians: Blind evaluation of AI-generated health recommendations </p><p>00:44:57 Behavioral Nudging and Alignment: Addressing the blind spots of metric-driven optimization </p><p>00:50:42 Insurance Risk Paradigms: The dangers of continuous data history in for-profit healthcare </p><p>00:53:26 Fitbit Air vs. Oura Ring: Stephan’s upcoming personal logging experiment</p><p><br /></p><p><strong>📚Resources</strong></p><p><strong>SensorFM from Google</strong></p><p>SenseFM: <a href="https://arxiv.org/abs/2605.22759v1" rel="ugc noopener noreferrer" target="_blank">Towards a General Intelligence and Interface for Wearable Health Data</a> </p><p><a href="https://store.google.com/de/product/google_fitbit_air" rel="ugc noopener noreferrer" target="_blank">Google Fitbit Air, das Fitness - Tracker-Armband</a> </p><p><a href="https://healthapp.google/" rel="ugc noopener noreferrer" target="_blank">Google Health</a> </p><p><a href="https://en.wikipedia.org/wiki/Foundation_model" rel="ugc noopener noreferrer" target="_blank">Foundation model</a></p><p><a href="https://en.wikipedia.org/wiki/Embedding_(machine_learning)" rel="ugc noopener noreferrer" target="_blank">Embedding (machine learning)</a> </p><p><a href="https://en.wikipedia.org/wiki/Generative_AI" rel="ugc noopener noreferrer" target="_blank">Generative AI</a> </p><p><a href="https://en.wikipedia.org/wiki/Supervised_learning" rel="ugc noopener noreferrer" target="_blank">Supervised learning</a></p><p><a href="https://en.wikipedia.org/wiki/Few-shot_learning" rel="ugc noopener noreferrer" target="_blank">Few-shot learning</a></p><p>Wearables with hypertension features: Huawei D2, Apple Watch, Whoop, Oura</p><p><a href="https://en.wikipedia.org/wiki/Nudge_theory" rel="ugc noopener noreferrer" target="_blank">Nudging</a></p><p><a href="https://en.wikipedia.org/wiki/Dimensionality_reduction" rel="ugc noopener noreferrer" target="_blank">Dimensionality reduction</a></p><p><a href="https://www.reddit.com/r/interestingasfuck/comments/xu1270/this_is_why_you_shouldnt_trust_everything_you_see/" rel="ugc noopener noreferrer" target="_blank">Prince Charles’ “middle finger” dimensionality reduction example</a></p><p><a href="https://x.com/sama/status/1856941766915641580" rel="ugc noopener noreferrer" target="_blank">Sam Altman tweet: “there is no wall”</a></p><p>Correction: The Netherlands is divided into 12 provinces and 3 special overseas municipalities</p><p>"Life can only be understood backwards; but it must be lived forwards." - Søren Kierkegaard</p><p>…There is more: <a href="https://docs.google.com/document/d/1LCIm780Aue5573FWVpyDve5Wm_DBTwDqfzoZ5zTqeyY/edit?usp=sharing" rel="ugc noopener noreferrer" target="_blank">complete show notes here</a></p><p><br /></p><p>🎙️<strong>About</strong></p><p><strong>Fit For Science</strong> 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.</p><p><a href="https://creators.spotify.com/pod/profile/fitforscience/" rel="ugc noopener noreferrer" target="_blank">Learn more</a> and subscribe on your favorite platforms:</p><p><a href="https://www.youtube.com/@FitForScience" rel="ugc noopener noreferrer" target="_blank">YouTube</a></p><p><a href="https://open.spotify.com/show/56TjUxuMsPETb0kGEJ7nwf" rel="ugc noopener noreferrer" target="_blank">Spotify</a></p><p><a href="https://podcasts.apple.com/us/podcast/fit-for-science/id1863479802" rel="ugc noopener noreferrer" target="_blank">Apple Podcasts</a></p><p><a href="https://music.amazon.de/podcasts/c3e54ee7-4a2c-442e-a59f-553fbfb02b11/fit-for-science" rel="ugc noopener noreferrer" target="_blank">Amazon Music</a></p><p><a href="https://docs.google.com/document/d/1LCIm780Aue5573FWVpyDve5Wm_DBTwDqfzoZ5zTqeyY/edit?usp=sharing" rel="ugc noopener noreferrer" target="_blank">Collection of all show notes</a></p><p><br /></p><p><strong>⚠️Disclaimer</strong>: This podcast represents our own opinions and is for informational purposes only. It does not constitute medical or financial advice or a professional relationship.</p>

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

June 10, 2026

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

<p>In this episode, biological data scientists Rob and Stephan examine Oura&#39;s cardiovascular age validation study, discuss WHOOP&#39;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.</p><p><br></p><p><strong>📝Summary</strong></p><p>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 &quot;longevity bubble,&quot; 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).</p><p><br></p><p><strong>⏳Chapters</strong></p><p>00:00:00 Wearable Updates: Oura, Whoop, and the Google Fitbit Air</p><p>00:01:03 Cardiovascular Age: Oura&#39;s validation study and conflict of interest concerns</p><p>00:06:57 Medical Consultations: Evaluating Whoop&#39;s physician integration</p><p>00:13:01 The Longevity Bubble: Why extreme spending yields diminishing returns compared to basic health habits</p><p>00:19:34 Bryan Johnson&#39;s Blueprint: Analyzing the $1 million protocols versus free lifestyle fundamentals</p><p>00:27:01 Communicating Science: Why Dr. Mike effectively cuts through health influencer noise</p><p>00:30:06 Google Fitbit Air: Discussing the new screen-free, subscription-free tracker</p><p>00:35:55 Sleep Inertia: The psychological and physiological benefits of timed wake-ups</p><p>00:40:43 The Vienna Prevention Project (ViPP): Deploying wearables to 20,000 citizens for public health</p><p>00:48:42 Wearable Accuracy vs App Experience: Finding the Goldilocks zone for tracking devices</p><p><br></p><p><strong>📚Resources</strong></p><p><a href="https://en.wikipedia.org/wiki/Pulse_wave_velocity"><u>Pulse wave velocity (PWV)</u></a></p><p><a href="https://ouraring.com/blog/new-nus-research-validates-ouras-vascular-age-estimation/"><u>New NUS Research Validates Oura’s Vascular Age Estimation, a Key Indicator of Cardiovascular Health - The Pulse Blog</u></a> </p><p><a href="https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0001329"><u>Vascular age estimation using a consumer wearable sleep tracker | PLOS Digital Health</u></a></p><p><a href="https://www.linkedin.com/posts/bas-duijnstee-09a6a0151_whoop-just-hired-doctors-the-wearable-industry-share-7461333488797937665-oUN6?utm_source=share&utm_medium=member_desktop&rcm=ACoAACO_0yIBNf1OhOZm3rDdMn1NkY151nSysLE"><u>WHOOP just hired doctors. - LinkedIn post</u></a> </p><p><a href="https://en.wikipedia.org/wiki/VIP_medicine"><u>VIP medicine</u></a></p><p><a href="https://en.wikipedia.org/wiki/Bryan_Johnson"><u>Bryan Johnson</u></a> </p><p><a href="https://en.wikipedia.org/wiki/Epigenetic_clock"><u>Methylation clocks and epigenetic aging</u></a></p><p><a href="https://www.linkedin.com/posts/mkaeberlein_the-truth-about-biological-age-tests-activity-7317018716502667264-BNv5?utm_source=share&utm_medium=member_desktop&rcm=ACoAACO_0yIBNf1OhOZm3rDdMn1NkY151nSysLE"><u>[...] the variation from test to test is so high that any given result is essentially statistically meaningless.[...] - Matt Kaeberlein on LinkedIn</u></a></p><p><a href="https://www.youtube.com/watch?v=8mlRkXZFvi8"><u>The Truth About Biological Age Tests</u></a> </p><p><a href="https://www.rejuvenationolympics.com/dunedin-pace"><u>Dunedin Pace | Rejuvenation Olympics</u></a> </p><p><a href="https://www.linkedin.com/posts/bryanrjohnson_this-is-it-everything-learned-spending-activity-7460370189881221120-YGrq?utm_source=share&utm_medium=member_desktop&rcm=ACoAACO_0yIBNf1OhOZm3rDdMn1NkY151nSysLE"><u>Bryan Johnson&#39;s $1M 42 point longevity protocol</u></a> and <a href="https://www.linkedin.com/feed/update/urn:li:activity:7460370189881221120?commentUrn=urn%3Ali%3Acomment%3A%28activity%3A7460370189881221120%2C7460401739238678529%29&dashCommentUrn=urn%3Ali%3Afsd_comment%3A%287460401739238678529%2Curn%3Ali%3Aactivity%3A7460370189881221120%29"><u>Stephan&#39;s comment</u></a>  </p><p><a href="https://www.youtube.com/doctormike"><u>Doctor Mike: Evidence-Based Medical Communicator on YouTube</u></a> </p><p><a href="https://store.google.com/product/google_fitbit_air"><u>Google Fitbit Air, Fitness Activity Tracker Band</u></a> </p><p>Rob&#39;s videos on Google&#39;s FitBit Air (so far)</p><p> <a href="https://www.youtube.com/watch?v=3P-kSxGSVEc"><u>Fitbit Air: The $99 Future of Fitbit (WHOOP alternative)</u></a> </p><p> <a href="https://www.youtube.com/watch?v=gYq2PRZAtM8"><u>The Fitbit Air Found WHOOP’s Weak Spot!</u></a> </p><p> <a href="https://www.youtube.com/watch?v=Y9uXiSQn-ak"><u>Fitbit: Scientific Sleep Test!</u></a> </p><p><br></p><p>…There is more: <a href="https://docs.google.com/document/d/1LCIm780Aue5573FWVpyDve5Wm_DBTwDqfzoZ5zTqeyY/edit?usp=sharing"><u>complete show notes here</u></a></p><p><br></p><p>🎙️<strong>About</strong></p><p><strong>Fit For Science</strong> 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 &quot;N=2&quot; personal experimentation, to cut through the noise and enable everyone to become their best N-of-1.</p><p><a href="https://creators.spotify.com/pod/profile/fitforscience/"><u>Learn more</u></a> and subscribe on your favorite platforms:</p><p><a href="https://www.youtube.com/@FitForScience"><u>YouTube</u></a></p><p><a href="https://open.spotify.com/show/56TjUxuMsPETb0kGEJ7nwf"><u>Spotify</u></a></p><p><a href="https://podcasts.apple.com/us/podcast/fit-for-science/id1863479802"><u>Apple Podcasts</u></a></p><p><a href="https://music.amazon.de/podcasts/c3e54ee7-4a2c-442e-a59f-553fbfb02b11/fit-for-science"><u>Amazon Music</u></a></p><p><a href="https://docs.google.com/document/d/1LCIm780Aue5573FWVpyDve5Wm_DBTwDqfzoZ5zTqeyY/edit?usp=sharing"><u>Collection of all show notes</u></a></p><p><strong>⚠️Disclaimer</strong>: This podcast represents our own opinions and is for informational purposes only. It does not constitute medical or financial advice or a professional relationship.</p>

21 total episodes available

Deep-dive analytics for Fit For Science

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Fit For Science?

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

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

No, this podcast does not typically feature guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.