MoreYears research literacy
Read the signal without losing the uncertainty.
These guides explain the questions behind longevity headlines: what a study design can establish, what a trial record leaves open, and when a biomarker is only a measurement—not a proven benefit.
Three practical frameworks
Start with the question in front of you.
Each guide can stand alone. Together they connect evidence maturity, experimental design, and the meaning of measured change.
How strong is the evidence?
Move from cells and mechanisms through animal, observational, randomized, and replicated human evidence without treating the ladder as an automatic quality score.
Read the evidence ladderWhat did the trial test?
Decode phases, comparison groups, randomization, blinding, eligibility, endpoints, registry status, and the gap between completion and demonstrated benefit.
Read the clinical-trials guideWhat does the measurement mean?
Separate repeatable measurement from association, validation, surrogate status, physical function, healthspan, and lifespan.
Read the biomarkers guideA useful reading habit
Keep four judgments separate.
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.