The "Say-Do" Gap & The Measurement Problem

Why diagnostic data (300+ biomarkers, DEXA scans) fails to change human behavior without actionable, atomic interventions.

4 entriesTags: measurement_problem, say_do_gap, biomarkers, actionable

  1. Why this entry belongs here

    Day 28 — Why AI grading clinical PDFs fails without human intervention.

  2. Why this entry belongs here

    Day 22 — Citations vs. Action: Why more evidence doesn't change behavior.

  3. 5 months ago1 min read
    AI-native longevity product roadmap

    90% retention + tiny wearables

    Intent

    This post maps a staged, AI-native longevity product strategy while debating wearable-camera approaches for capturing basketball film.

    Signal

    The team's wager is that distribution and daily utility — not features or hardware — are the MVP: strip longevity down to 'press, talk, win,' borrow infra until PMF, and resolve the wearable-camera question by privileging external/multi-perspective context over first-person POV.

    Why this entry belongs here

    Day 9 — The immense cognitive load of the modern longevity protocol.

  4. 8 months ago1 min read
    AI-native healthspan

    n + 1

    Intent

    AI-native healthspan product where social connection — not tech — is the root behavior change, modeled on Blue Zones community ('moat').

    Signal

    The authors converge on a layered thesis: AI is the paradigm-shifting driver that overcomes human cognitive limits, but social/communal lifestyle is the actual root that gives signals meaning and sustains behavior change — so the product must be 'always social, but not an app,' bootstrapped physically (a moai) before AI scales it.

    Why this entry belongs here

    Day 1 — AI as paradigm driver; social as behavior changer.