Learn · MoreYears research literacy
Learn to spot what a longevity headline leaves out.
Start with an orientation to the field, then move through shared language, safety questions, evidence, trials, and biomarkers. Each guide preserves what is unknown instead of compressing it into a score.
New evergreen guide
Start with the foundations before the hacks
10 things you can do for a longer, healthier life separates clinical outcomes, function and risk-factor evidence from claims about slower aging or added lifespan.
Ten practical starting points
What are you trying to figure out?
Begin with Evidence at a glance when you want to compare outcomes across released stories. Use Longevity 101, the glossary, and the safety framework for orientation.
Human Longevity Evidence Tracker
Filter population, design, measured results and boundaries across all 55 released stories—without a score or ranking.
Open the evidence trackerWhich approaches have we actually reviewed?
Browse 50 covered interventions and exposures while keeping each study’s population, design, outcome and limits visible.
Open the covered-interventions directoryWhat is longevity research?
Map aging biology, interventions, evidence, and decisions before translating a result into meaning.
Start with Longevity 101What does that term mean?
Use stable plain-language definitions and keep biomarkers, endpoints, healthspan, and lifespan distinct.
Open the glossaryWhat deserves a closer look?
Check claims, evidence, identity, and pressure independently without turning warning signs into an automatic verdict.
Use the safety frameworkHow strong is the evidence?
Move from cells and mechanisms through animal, observational, randomized, and replicated human evidence without treating the ladder as a score.
Read the evidence ladderWhat did the trial test?
Decode phases, comparison groups, eligibility, endpoints, registry status, and the gap between completion and demonstrated benefit.
Read the clinical-trials guide Browse covered clinical trials Browse covered studiesWhat does the measurement mean?
Separate repeatable measurement from association, validation, surrogate status, function, healthspan, and lifespan.
Read the biomarkers guideHow was the question tested?
Separate design, execution, analysis, reporting, replication, and practical relevance before judging a result.
Read the research-methods guideWill a result transfer to people?
Compare model fit, exposure, outcome, duration, population, and safety without turning similarity into proof.
Read the translation guideA useful reading habit
Four tests every longevity claim should pass.
How close is the evidence to the outcome readers care about?
A mechanism, a human association, and a replicated clinical outcome answer different questions.
Was the question tested in a way that limits bias?
Design, execution, missing data, reporting choices, and independent replication all matter.
Is the measured change meaningful for people?
A detectable signal is not automatically a change in function, healthspan, or lifespan.
Does the evidence apply to this population and decision?
Population, setting, duration, tradeoffs, and clinical context cannot be inferred from a headline.