Outcome beats surrogate
A lower lab value, more NAD+, or a younger “biological age” can be interesting. It is not evidence that people lived longer. Prefer all-cause mortality, disability, falls, or disease events.
The boring interventions are overwhelmingly larger than the glamorous ones. This is a decision reference, not a promise of a personal lifespan.
Bar length is an intentionally rough visual composite of human outcome evidence—not a personal percentage or an additive calculator.
*Prescription therapies can have Grade-A evidence for a defined disease or risk group; they are not a universal longevity stack.
A lower lab value, more NAD+, or a younger “biological age” can be interesting. It is not evidence that people lived longer. Prefer all-cause mortality, disability, falls, or disease events.
A 20% relative reduction means very different absolute benefit at 1% versus 20% baseline risk. Ask: compared with whom, over how long, and how many events?
People who quit because they are ill, or who take supplements because they are health-conscious, can make observational comparisons misleading. Randomization helps, but is scarce for lifespan.
A: strong human outcome evidence; B: strong association or practical trial evidence; C: mixed/indication-specific; D: mechanism, animals, or null data.
| Action | Human evidence & concrete threshold | Who gains most / practical next step |
|---|---|---|
| Stop smoking | In a U.S. cohort, stopping at ages 25–34, 35–44, or 45–54 gained about 10, 9, or 6 years versus continuing smoking (Jha 2013). | Every current smoker; use evidence-based cessation support rather than “cutting down” indefinitely. |
| Build aerobic capacity | In 122,007 treadmill-tested adults, low versus elite fitness carried adjusted mortality HR 5.04; selection bias means this is not a promised 5× reversible effect. | People with low baseline fitness; begin with tolerable walking/cycling and progress. See running or cycling. |
| Do any regular activity | 661,137 adults: even <7.5 MET-hours/week was associated with 20% lower mortality than none; 1–2× the guideline range with 31% lower risk. | Inactive people. Start below the 150-min/week guideline; consistency beats an ideal plan never begun. |
| Strength train | 2022 meta-analysis: any resistance training associated with 15% lower all-cause mortality; the model’s largest reduction was around 60 min/week. | Older adults and anyone losing strength/function. See strength-training programming. |
| Measure waist, BP, glycemia | Use a tape, validated cuff, and appropriately ordered labs. A waist under half of height is a simple screening rule; an isolated measure is not a diagnosis. | Those with central weight gain or family risk. Use the biomarker scorecard then the blood-test decoder. |
| Treat hypertension when indicated | Blood pressure is a causal risk factor, unlike many “aging” scores. Targets and medication effects vary by person, measurement method, comorbidity, and harms. | Anyone with repeatedly elevated home readings; bring a validated log to a clinician, not one anxious reading. |
| Eat a durable pattern | Prioritize minimally processed plants, protein adequacy, and fiber-rich foods over single “longevity foods.” Dietary studies have confounding; adherence is the intervention. | People choosing between sustainable patterns. Avoid replacing a diet with powders or olive-oil theater. |
| Sleep enough—and diagnose disorders | Adults generally need 7–9 hours; duration has a U-shaped observational relationship with outcomes. Severe daytime sleepiness, snoring, or apneas deserve assessment. | People sacrificing sleep or using sedatives as sleep hygiene. See sleep optimization. |
| Maintain social connection | Isolation and loneliness predict worse outcomes, but the causal “dose” is not a weekly friend quota. Build recurring obligations and real support. | People whose health plan has no people in it. Choose one repeatable group, call, or shared activity. |
| Use prevention, not biohacks | Vaccination, screening, dental care, seat belts, and addressing substance use have direct risk pathways. The right test depends on age, sex, history, and jurisdiction. | People with an “optimization” budget: make routine care boringly complete first. |
| Alcohol: less is safer | Claims that moderate drinking is protective are vulnerable to abstainer and healthy-user bias. Do not start drinking for heart health. | People weighing a claimed benefit. If drinking creates harm or loss of control, seek support rather than setting a longevity quota. |
| Use indicated medicines | Statins, antihypertensives, diabetes therapies, and other drugs can have hard outcome evidence for specific indications—not as generic anti-aging prescriptions. | People with diagnosed risk. Compare absolute benefits/harms in NNT medical interventions. |
| Protect mobility and falls | Strength, balance, vision correction, medication review, and home hazards are more actionable than a “young” wearable score. | Especially after 65 or after a fall; include balance work and a home safety review. |
| Manage depression and chronic stress | They affect sleep, activity, adherence, substance use, relationships, and suicide risk. No supplement substitutes for evidence-based mental-health care. | Anyone whose plan fails because life is unmanageable: treat the bottleneck, not the self-discipline myth. |
| Measure function, not only labs | VO2 max estimate, grip, gait speed, waist and BP are low-cost tracking tools; their trends guide behavior better than a one-off “age” score. | Use the biomarker reference to choose a small dashboard. |
In doubly labeled water data, expenditure adjusted for fat-free mass was broadly stable from ages 20–60, then declined in older age. Body composition and activity can change; the folk deadline is wrong.
Exceptional-age records and demographic data have been criticized; that does not make walking, social life, or plant-forward food bad ideas. It means do not infer a causal supplement or menu from a branded longevity map.
Oxidative biology is not a license for high-dose pills. A Cochrane review found increased mortality signals for vitamin A, beta-carotene and vitamin E in lower-bias trials.
There is no general detox pathway a cleanse activates. Exposure control and medical evaluation for a specific toxin are real; juice, laxative, and sauna narratives are not substitutes.
Mechanism and short-term biomarker changes are not human lifespan trials. See the supplement evidence ledger before buying an expensive stack.
Unsupervised maximal effort can be dangerous at any age; progressive resistance training is a central way to preserve strength and function. Technique, load selection and conditions matter.
Dose-response curves rise steeply from none and flatten; elite volumes are not a required longevity dose. Train for capacity, recovery, enjoyment and injury history.
Family history matters and can guide prevention, but it is not a reason to skip the modifiable exposures above. A genetic risk result is not a personal forecast.
Clocks can be research tools, but test-retest variation and interpretation limits make them poor steering wheels compared with function, BP, waist and clinically useful labs.
Modern genetic and bias-aware analyses weaken the simple protective J-curve story. Do not prescribe alcohol as a health intervention.
Primary papers: Jha et al., NEJM 2013 (smoking cessation); Mandsager et al., JAMA Network Open 2018 (fitness); Arem et al., JAMA Internal Medicine 2015 (activity); Shailendra et al., 2022 (resistance training); Pontzer et al., Science 2021 (energy expenditure); Bjelakovic et al., Cochrane (antioxidants). All accessed 2026-07-13.
Biomarkers: which numbers predict outcomes · Supplements: the evidence ledger · Actual Risk Dashboard · Reassurance Tables