Pulling all modifiable levers roughly doubles your chance of reaching 90 and triples your chance of reaching 95.
Top 3 Levers to Pull
Top 3 Active Threats
What might kill you, ranked
Probability-ranked death pathways given your current data. Click any row for the markers driving it and the interventions that move the needle.
Levers to pull, sorted by years gained
Estimated years of life recovered if you optimize each marker. Estimates are conservative — see Methodology.
Every marker, with consequences
Your numbers, what they cost or save you, and what to do about each.
What we don't know about you yet
Markers you haven't tested — sorted by years recoverable if you fill them in. Each card tells you what the test measures, why it matters for your profile, and how to get it.
Ask Doctor — checklist for your next visits
Specific things to ask each provider, with the medical rationale. Bring this list — every item is backed by your actual data or a peer-reviewed guideline. Sorted by visit.
The Method
How this works — and what you should be checking, and how often.
The three jobs
Track daily
The high-frequency signals — most matter for the next doctor visit.
Track weekly
Trends, not snapshots. Including the 30-second sit-to-stand strength test.
Track quarterly
Big-picture checks. Bring these to cardiology / PCP visits.
Second Opinions — the plaque-reversal landscape
Doctors and protocols that argue coronary plaque can be reversed. Three camps, with honest evidence assessment for your specific situation.
First — the honest truth about reversal
The doctors / protocols
Sorted by relevance to your profile (CAC 581, LAD stenosis, statin-treated).
Your medical history
The major diagnoses, treatments, and findings that shaped your current picture — in chronological order.
How these numbers are computed
Honest disclaimers and the sources behind every estimate.
The honest version. We do not predict your age at death. No one can.
Instead, we start with the published population survival curve for a man your
age in your state of residence. For you, that's California (CDC 2022 + CA Life
Table 2020) — which has roughly 2-3% better survival than the US national average at each age band.
Then we shift that curve by a combined hazard ratio (HR) built from your specific
risk factors, drawn from peer-reviewed cohort studies. Your "current" curve uses your present
markers; your "optimal" curve uses your markers with all modifiable risks fixed. Non-modifiable
risks (age, family hx, accumulated CAC) remain.
This shows a range, not a date. You see the percent chance of reaching each
age — not a single "you will die at X" number. The curves shift right or left; they never become a point.
Why location matters. State-level life expectancy varies by ~5 years across
the US (Hawaii highest, Mississippi lowest). California is among the top quartile, mostly because
of lower smoking rates, better healthcare access in urban areas, and lifestyle patterns.
For a generic/blank version of this app, the user would be asked to specify their location
so the baseline matches.
What's captured. Modifiable cardiovascular, metabolic, hormonal, and lifestyle markers
with established mortality associations. Heavy weight on cardiovascular pathway because that's your
dominant risk per CAC 581, LAD stenosis, family history, and lipids.
What's not captured. Accidents. Novel infections. Cancer surveillance gaps. Mental health.
Cognitive trajectory. War-zone exposures. Black-swan events. These can change everything.
Primary sources used (per-marker citations on each card).
Confidence. Each marker carries a qualitative confidence level (high / moderate / low).
High = directly studied in large RCTs or cohorts with consistent results. Moderate = consistent
observational data, fewer RCTs. Low = mechanism-based or small studies.
Last updated: · Built for Bez Ambar (Adam, the first man).
v0.1 · Future versions will include Lp(a), ApoB once tested; will integrate real-time CPAP, BP home logs, weight trends.