Methodology Architecture

All active modules use one standardized schema: Objective, Inputs, Method, and Outputs, so interpretation is consistent across the full system.

Coverage: all active tool modules Format: OIMO (Objective/Inputs/Method/Outputs) Build: 2026-02-18.11

Principle 01

Calibration is trajectory-first, not snapshot-first.

Principle 02

Survival risk emerges at biological-financial constraint intersections.

Principle 03

Strategic optionality outperforms point optimization.

Data Sources And Baseline Registry

LifeMeter combines public demographic baselines with user-provided health and capital inputs. The goal is directional planning support, not diagnosis or personalized financial advice.

UN World Population Prospects (2024)

Population-age structure and survivorship reference frames used for global and regional longevity baseline anchoring. Source: population.un.org/wpp

WHO Global Health Observatory / Life Tables

Country and regional life-expectancy context used to calibrate base lifespan tiers. Source: who.int/data/gho

World Bank Open Data

Supplemental demographic and health-system indicators used in regional readiness normalization. Source: data.worldbank.org

User Inputs + Deterministic Rule Layers

Age, sex, optimization level, net worth, yield, and spending are transformed into comparable longevity and solvency horizons within a transparent rule-based pipeline.

Model Pipeline

  1. Read user biological and financial inputs.
  2. Map regional baseline lifespan from source-backed tables.
  3. Apply health optimization and LEV readiness adjustments.
  4. Compute solvency horizon from capital, yield, and spending.
  5. Return endurance horizon, resource gap, and strategy text.

I. Calibrate

CAL-01

LEV Preparedness

Objective
Estimate biological readiness to bridge toward future longevity interventions.
Inputs
Age, sex, anthropometrics, glucose, HbA1c, resting HR, activity and grip proxies.
Method
Rule-based biological age offset with metabolic and functional penalty-credit layers.
Outputs
Preparedness status, projected bridge profile, intervention priorities.
CAL-02

Bio Age

Objective
Estimate functional biological age relative to chronological age.
Inputs
Cardiometabolic and behavior proxies entered in tool flow.
Method
Weighted composite scoring translated into age-offset bands.
Outputs
Estimated bio-age and risk-tier interpretation.
CAL-03

Biomarker Trend Analyzer

Objective
Convert lab history into trend flags and retest cadence signals.
Inputs
Three manual timepoints for ApoB, HbA1c, hs-CRP, insulin, triglycerides, HDL, VO2 proxy.
Method
Direction-aware trend deltas plus benchmark-zone threshold mapping.
Outputs
Per-marker flag, trend status, and suggested next-test interval.
CAL-04

Invisible Age

Objective
Expose hidden attrition not visible in basic age comparisons.
Inputs
Behavioral and recovery-risk proxies.
Method
Latent damage scoring with cumulative stress weighting.
Outputs
Invisible-risk profile and priority intervention domains.
CAL-05

Functional Resilience

Objective
Estimate functional reserve and recovery capacity.
Inputs
Strength, mobility, and endurance proxies with age normalization.
Method
Domain scoring with frailty-oriented thresholds.
Outputs
Resilience tier and weak-domain priorities.
CAL-06

Wearable Synthesis

Objective
Turn wearable telemetry into actionable recovery/load signals.
Inputs
Activity, heart-rate and sleep consistency proxies.
Method
Pattern synthesis across short-term variability and baseline drift.
Outputs
Recovery-pressure profile with behavior priorities.
CAL-07

Expanded BioAge Survey

Objective
Estimate biological age with a broader survey covering function, metabolism, recovery, stress, behavior, and social resilience.
Inputs
Multi-domain survey responses plus optional resting heart rate, HRV, blood pressure, and VO2 max.
Method
Weighted domain scoring with interaction penalties and optional advanced refinement.
Outputs
Biological age estimate, age delta, longevity score, risk decomposition, top drivers, and action plan.

II. Survive

SUR-01

LEV Bridge

Objective
Estimate continuity probability to LEV-relevant windows.
Inputs
Age, health multipliers, capital, burn, return assumptions, region factors.
Method
Dual-runway logic comparing biological and financial horizons.
Outputs
Bridge status, failure mode, and highest-impact adjustments.
SUR-02

Insolvency

Objective
Detect financial exhaustion ahead of projected lifespan.
Inputs
Net worth, spending, inflation and real return assumptions.
Method
Capital depletion modeling under adjustable macro stress.
Outputs
Exhaustion age and durability gap estimate.
SUR-03

Medical Black Swan

Objective
Stress-test runway under catastrophic medical events.
Inputs
Shock probability/severity assumptions and reserve buffers.
Method
Tail-event overlay against baseline solvency profile.
Outputs
Fragility exposure and reserve adequacy signal.
SUR-04

Extreme Inflation

Objective
Quantify longevity-plan erosion under adverse inflation regimes.
Inputs
Inflation path, return assumptions, and spending profile.
Method
Purchasing-power erosion and runway compression modeling.
Outputs
Inflation-adjusted durability signal and planning constraints.
SUR-05

Singularity Sequence

Objective
Model timing/access uncertainty for advanced interventions.
Inputs
Adoption timing assumptions, access latency, regional readiness.
Method
Sequential adoption logic with infrastructure delay layers.
Outputs
Access window confidence and timing risk implication.

III. Analyze

ANL-01

Independence Horizon

Objective
Estimate practical autonomy horizon from combined constraints.
Inputs
Runway outputs, age assumptions, expenditure context.
Method
Constraint-merged horizon synthesis.
Outputs
Autonomy horizon and principal limiting factor.
ANL-02

Global Data Atlas

Objective
Benchmark regions for health-span and cost context.
Inputs
Country-level life expectancy, cost, infrastructure, and access proxies.
Method
Normalized comparative index framework.
Outputs
Relative regional positioning and arbitrage signals.
ANL-03

Mismatch Analyzer

Objective
Measure gap between biological horizon and financial endurance.
Inputs
Bio estimates, solvency horizon, spending and return assumptions.
Method
Dual-system gap analysis with risk weighting.
Outputs
Mismatch magnitude/direction and correction vectors.
ANL-04

Sync Paradox

Objective
Evaluate efficiency vs redundancy tradeoff in life-planning systems.
Inputs
Synchronization assumptions and reserve/buffer parameters.
Method
Paradox scoring that penalizes brittle over-optimization.
Outputs
Balance signal and redundancy adjustment targets.
ANL-05

Global LEV Index

Objective
Estimate regional readiness for early longevity intervention access.
Inputs
Infrastructure, regulatory, access and system-capability proxies.
Method
Composite readiness index with standardized regional factors.
Outputs
Readiness ranking and optionality implications.

Methodology descriptions are explanatory and non-prescriptive. Outputs are planning signals, not diagnoses or individualized advice.