Modern WisdomInside Tracker | The Largest Database Of Healthy People In The World
CHAPTERS
Blood draw in California: Chris starts the InsideTracker experiment
Chris heads to Quest Diagnostics in California to get blood drawn for InsideTracker. He describes the (needle-unfriendly) experience and sets up the premise: results will be reviewed later in Boston.
Travel to Boston + airport security comedy with podcast gear
On the way to Boston, Chris jokes about how a USB condenser microphone complicates airport security screening. The travel beat bridges the on-location testing to the upcoming sit-down conversation.
Meet InsideTracker: what it is and how it turns biomarkers into actions
Chris sits down with Carrie Kolb and Jonathan Levitt, who explain InsideTracker’s mission and approach. They describe how blood biomarkers tied to performance, health, and longevity generate personalized food, supplement, and lifestyle recommendations.
Why biomarker tracking is booming: longevity, tech, and “marginal gains” culture
They discuss the rising mainstream interest in health analytics—from wearables to deeper lab testing. Jonathan explains the shift from convincing people to care to proving whose platform is most personalized and advanced, driven by aging concerns and performance optimization.
Chris’s testing journey: from lab results to interpretation and trend tracking
Chris recaps the workflow: blood draw at Quest, results delivered days later, then a consult to interpret the data. Carrie highlights a key feature—uploading historical bloodwork to see how lifestyle changes map to biomarker trends over time.
What InsideTracker sees in CrossFit athletes—and Chris’s own red flags
Carrie shares common CrossFit patterns like elevated creatine kinase (overtraining marker) and higher glucose, often linked to insufficient soluble fiber. Chris reveals his own outcomes: slightly elevated glucose, low free testosterone, and simple dietary guidance (more soluble fiber/beans; reconsider a multivitamin).
Endurance athlete patterns: iron storage, under-fueling, and overtraining signals
Jonathan explains endurance-specific issues: low ferritin is very common in women, alongside patterns like elevated liver enzymes/CK and low testosterone. A major theme is under-eating relative to training load, which can show up in cortisol, lipids, and hormone shifts and increases injury risk.
From data to adoption: avoiding ‘tracking for tracking’s sake’
They argue the value is not the data volume but making it actionable and realistic. Jonathan criticizes meaningless tracking in pro sports and explains why InsideTracker collects detailed onboarding info: every question feeds a recommendation, balanced against user compliance constraints.
Designed for everyday health, not just elite performance—plus why they avoid food sensitivity tests
Jonathan shares the origin story: founder Gil Blander’s longevity motivation and the choice to impact people via a company. They clarify the platform serves both athletes and regular people with goals like energy, sleep, calm, or weight, and explain why InsideTracker doesn’t offer food sensitivity testing due to weak validity and high cost.
Future roadmap: combining blood, DNA, wearables, microbiome—and smarter nudges
They explore where the industry is going: integrating DNA with blood for predisposition + current status, adding wearables (Fitbit/Garmin) for lower-friction inputs, and possibly microbiome data as evidence grows. Jonathan imagines context-aware prompts that use calendar and weather to recommend timely actions; they also mention more mindfulness/yoga guidance for cortisol.
How InsideTracker turns research into rules: internal validation and recommendation strength
Chris asks how new science gets incorporated, and Jonathan describes the pipeline: scientists review studies, propose algorithm rules, and require validation by another scientist before inclusion. Recommendations are ranked (1–5 stars) based on evidence quality, recency, study type, and sample size—leading to confident staples like fiber-rich foods.
Universal ‘first moves’: sleep, glucose control foods, vitamin D reality, and iron in women
They outline common high-leverage actions even before testing: improve sleep hygiene to help cortisol; address widespread glucose elevation with foods like oatmeal; recognize vitamin D often needs supplementation; and treat low ferritin in women via food or supplements depending on severity. The discussion reinforces how simple interventions can drive broad biomarker improvements.
InnerAge explained: the 5-marker longevity score and why glucose dominates
Carrie defines InnerAge as biological age vs chronological age and lists the five markers used: glucose, ALT, hsCRP, vitamin D, and testosterone. Chris notes his InnerAge runs older than his actual age due largely to glucose, and Jonathan explains the longevity research linking optimized glucose to better outcomes.
Big-picture impact: the world’s largest ‘healthy’ dataset, preventive healthcare gaps, and behavior change
Jonathan claims InsideTracker has the largest database of healthy people and explains why it matters: traditional healthcare focuses on sick-care and often makes comprehensive testing inaccessible or expensive. They discuss how personalized, visible data drives adherence—like Chris’s MRI analogy—and share examples from pro teams where labs helped reduce injuries and improve travel performance.
Closing: Cambridge ‘nerd central’ facility tour setup and Chris’s call to higher-resolution health
Chris wraps by previewing a behind-the-scenes look at their Cambridge workspace near MIT/Harvard and major tech companies. He reiterates the core message: better self-knowledge reduces ignorance-driven complacency, and small, targeted changes (sleep, diet, recovery) can meaningfully shift long-term health trajectories.
