Modern WisdomInside Tracker | The Largest Database Of Healthy People In The World
CHAPTERS
- 0:00 – 0:30
Blood draw in California: starting the InsideTracker experiment
Chris begins the episode by heading to Quest Diagnostics in California to get blood drawn for InsideTracker analysis. He describes the experience (lots of vials, discomfort with needles) and sets up the promise of reviewing results later in Boston.
- •Visit to Quest Diagnostics for blood work
- •Blood draw experience and number of vials
- •Samples will be sent to InsideTracker for analysis
- •Tease of results review in Boston
- 0:30 – 1:41
Travel to Boston + the realities of filming and airport security
Between the blood draw and the sit-down interview, Chris shares travel moments: why he couldn’t film inside the clinic and a comedic airport security delay caused by his podcast microphone. This bridges the vlog-style opening into the main conversation in Boston.
- •No filming inside Quest for security reasons
- •Airport security hassle with recording gear
- •Transition from California testing to Boston meeting
- 1:41 – 2:24
What InsideTracker is: biomarkers, optimization zones, and personalized recommendations
Carrie and Jonathan introduce InsideTracker and explain its purpose: using blood biomarkers tied to performance, health, and longevity. They outline the core output—personalized food, supplement, and lifestyle recommendations to move biomarkers into optimized ranges.
- •InsideTracker focuses on blood biomarkers linked to performance/health/longevity
- •Personalized recommendations: nutrition, supplementation, lifestyle
- •Optimization zones vs. standard ‘normal’ ranges
- •Carrie’s CrossFit focus and Jonathan’s endurance focus
- 2:24 – 4:05
Why quantified health is exploding: longevity, marginal gains, and better data than wearables alone
The group discusses why interest in analytics-driven health is rising—more public longevity science, aging parents, and a cultural push toward improvement. Jonathan contrasts the reliability of blood work with the noise and inaccuracies that can occur with some wearable data.
- •Growing consumer awareness makes platforms compete on quality and personalization
- •Longevity motivation: aging, family, and prevention
- •Wearables can be useful but imperfect; blood offers stronger signal
- •Performance framing: comparing you to you, not ‘average population’
- 4:05 – 7:45
Chris’s results: glucose, low free testosterone, and the ‘beans + fiber’ wake-up call
Chris recounts receiving his biomarker report and consult, surprised that his profile wasn’t worse given years of poor sleep and overwork. Key flags include elevated glucose and low free testosterone, along with straightforward dietary guidance like increasing soluble fiber (beans/oatmeal) and reconsidering certain supplements.
- •Expectation vs. reality: results weren’t as catastrophic as feared
- •Glucose slightly high; free testosterone low
- •Soluble fiber emphasized (beans/oatmeal) for glucose support
- •Example recommendation: stop taking a multivitamin and retest later
- 7:45 – 12:39
What InsideTracker sees in elite athletes: CrossFit vs. endurance trends
Carrie and Jonathan describe common patterns in high-level athletes. CrossFitters often show elevated creatine kinase (a training stress marker) and sometimes higher glucose linked to low soluble fiber, while endurance athletes frequently show micronutrient issues like low ferritin in women plus signs of under-recovery.
- •CrossFit: CK (creatine kinase) often elevated from training volume
- •CrossFit: glucose sometimes trends high; fiber intake commonly low
- •Endurance: low ferritin in many women under 50 (iron storage)
- •Endurance: liver enzymes/CK elevated, low testosterone, under-recovery common
- 12:39 – 14:46
Undereating shows up in blood: cortisol, LDL, testosterone shifts—removing guesswork
Jonathan explains how inadequate fueling can be reflected in biomarkers, using his own quarterly testing as an example. The discussion highlights how repeated testing plus training changes can reveal cause-and-effect, reducing uncertainty about where to focus (diet, rest, or supplements).
- •Undereating can correlate with high cortisol and unfavorable lipid markers
- •Training increases can drive down free testosterone if recovery/fueling lag
- •Quarterly testing helps identify trends and reactions to interventions
- •Personalization prevents copying someone else’s supplement stack
- 14:46 – 19:06
From data to action: avoiding ‘tracking for tracking’s sake’ and designing for compliance
They discuss a core product philosophy: tracking is useless unless it changes behavior. InsideTracker aims to ask only questions that feed recommendations, balancing detail with questionnaire fatigue and emphasizing realistic, incremental changes rather than total lifestyle overhauls.
- •‘Paralysis by analysis’ vs. flying blind
- •Registration questions are used directly in recommendations
- •Compliance tradeoff: enough detail without overwhelming users
- •Simple changes (e.g., vegetarian day per week) only when realistic
- 19:06 – 21:57
Who it’s really for: everyday health, prevention, and why they don’t do food sensitivity testing
Jonathan explains that InsideTracker wasn’t created only for elite performance but for helping normal people feel better and age healthier. He also addresses a common question—food sensitivity testing—saying they avoid it because the science/utility isn’t strong enough relative to cost.
- •Company origin story: founder’s longevity mission after family death
- •Same system serves athletes and everyday health goals (energy, sleep, calm)
- •Focus on scientifically supported interventions
- •Food sensitivity testing excluded due to weak validity and high expense
- 21:57 – 26:32
The future: combining blood + DNA + wearables (and eventually microbiome) for deeper personalization
Carrie and Jonathan outline how the platform may evolve by integrating more data sources: DNA insights, wearables (Fitbit/Garmin), and potentially microbiome inputs. The goal is lower-friction monitoring between blood draws and increasingly context-aware, personalized recommendations.
- •DNA + blood offers ‘now’ state plus genetic predispositions
- •Suggested testing cadence: ~every 3 months as a ‘gold standard’
- •Wearable integration to connect interventions to sleep/recovery outcomes
- •Microbiome and other new inputs added as evidence strengthens
- 26:32 – 29:21
How InsideTracker turns science into recommendations: rules, validation, and star ratings
They explain the internal research pipeline: scientists continuously review studies, propose algorithm rules, and validate them before inclusion—an internal peer-review style process. Recommendations are ranked (1–5 stars) based on strength of evidence, study quality, and recency.
- •Team monitors new studies and prioritizes key biomarker topics
- •Algorithm built as ‘if-then’ rules grounded in peer-reviewed research
- •Second-person validation before rules enter the platform
- •Star rating reflects evidence strength (sample size, study type, recency)
- 29:21 – 38:58
High-leverage basics: sleep, glucose control, vitamin D, nuts/oatmeal, and iron for women
The conversation shifts to broadly useful interventions many people can try immediately. Sleep is framed as foundational for cortisol and recovery; glucose is highlighted as a widespread issue; vitamin D supplementation is portrayed as most reliable for correcting low levels; and iron deficiency in women is emphasized as a major fatigue driver.
- •Sleep hygiene: reduce screens, improve consistency and quality
- •82% statistic: elevated glucose is extremely common
- •Vitamin D: supplementation often necessary; sunlight/fish may not be enough
- •Daily nuts and oatmeal as high-impact foods; iron/ferritin issues in women
- 38:58 – 40:07
InnerAge explained: the five biomarkers used and why glucose is heavily weighted
Carrie explains InnerAge as a biological-age estimate based on a subset of key longevity biomarkers. They list the five markers and discuss why glucose carries strong weight due to consistent associations with long-term health outcomes.
- •InnerAge = internal biological age vs. chronological age
- •Five markers: glucose, ALT, hsCRP, vitamin D, testosterone
- •Chris’s InnerAge higher than his chronological age due largely to glucose
- •Glucose prioritized because of strong longevity correlations
- 40:07 – 54:16
Why glucose is so high for so many: eating out, hidden sugars, sedentary life, and ‘busy’ culture
Jonathan links population-level glucose issues to environment and behavior: sedentary jobs, exhaustion, restaurant/takeout frequency, and hidden sugars in prepared foods. The discussion expands into cultural incentives—glamorizing busyness and deprioritizing health—plus the rare exceptions who can thrive on minimal sleep.
- •Restaurant/takeout frequency correlates with elevated glucose
- •Hidden sugars and low control when eating out
- •Sedentary workdays + fatigue reduce exercise and recovery
- •Busyness as a status symbol contributes to poor health habits
- •Rare low-sleep outliers shouldn’t become the model for everyone
- 54:16 – 1:01:29
Proof drives behavior: pro team case studies, injury reduction, and ‘seeing it’ to believe it
They discuss organizational examples where biomarker feedback helped drive adoption of better practices—especially around injury and fatigue management. Chris connects this to his own MRI experience: when you see objective evidence, you’re more likely to take the uncomfortable but necessary corrective action.
- •Team-level outcomes discussed: injuries/games lost and travel management
- •San Jose Sharks example: using data to optimize travel/practices
- •NBA example: blood work helped shift athletes away from problematic dieting
- •Objective data increases buy-in compared to generic advice
- •Parallel to MRI: visibility creates urgency and compliance
- 1:01:29 – 1:04:36
Wrap-up: Cambridge ‘nerd central,’ facility context, and the call for higher-resolution health thinking
Chris closes by previewing a look around the Cambridge facility and emphasizing the broader mission: helping people think more granularly about health and aging. He reiterates that better data should lead to simpler, prioritized actions—not overwhelm—encouraging listeners to use testing and recommendations as a feedback loop.
- •InsideTracker’s Cambridge location amid MIT/Harvard tech ecosystem
- •Shared workspace and proximity to major research/tech hubs
- •Final message: higher-resolution understanding of health vs. ignorance
- •Encouragement to test, act, and retest (feedback loop)
- •Call to avoid overwhelm by focusing on actionable changes
