What a Study Says, and What It Does Not Say

A practical method to separate reported outcomes from assumptions before translating findings into daily choices.

Annotated study page separating findings from assumptions
Start with what was measured, then map what remains uncertain.

Begin with the actual question

Every paper answers a narrow question. Problems begin when readers generalize beyond that scope.

  • Identify population, intervention, comparison, and outcome.
  • Check whether the endpoint is clinical, behavioral, or surrogate.
  • Note follow-up length before inferring long-term benefit.

Distinguish results from interpretation

Results are data points. Interpretation is a model of what those data might mean.

  • Separate authors' conclusions from table-level outcomes.
  • Watch for language that upgrades association into causation.
  • Track confidence intervals to see how wide uncertainty remains.

Translate only what is decision-relevant

Practical use depends on effect size, burden, and fit with daily constraints.

  • Prefer low-risk changes you can test for two to four weeks.
  • Monitor one or two outcomes instead of changing many variables.
  • Review with a clinician when conditions or medications are involved.

Context cue

A study is strongest when its methods, magnitude, and limits are read together.

"Evidence supports better decisions when boundaries are explicit."

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