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How to read a study

What each part of a digest entry means, which study designs can say what, and two small readers for the numbers you'll meet most: confidence intervals and effect sizes.

Anatomy of a digest entry

Each study in the Research Digest follows the same pattern. Here it is with an entry from the October 20, 2026 issue.

  1. The grey line under the heading says the design, who was studied and for how long. Example: Randomized within-subject trial · 31 healthy untrained young adults · 12 weeks. Read this first: it tells you who the result is about. A study in untrained young adults says little about experienced lifters.
  2. The bold sentence is the main finding in one line.
  3. The body gives the numbers the abstract reports, and the biggest limitation.
  4. "In practice" says what the finding supports, and for whom. It is never a training prescription.
  5. Trust level (Low, Moderate or High) is one judgment from the design, the number of people, the length, who was studied and how consistent the results were. It is assigned when each issue is written and reviewed author-assigned. It is not a formal grading system, and the reason is always written next to it.
  6. "Read the study" links to the paper. Digest summaries are based on the published abstract only, so the full paper can add detail or change the picture.

Study designs, roughly from weaker to stronger for cause and effect

Confidence interval reader

Most results come with a 95% confidence interval: a low and a high end around the main estimate. Roughly, it is the range of true effects the data are compatible with. The key question is whether it crosses the "no effect" line. Pre-filled with the time-restricted eating result from the October 20 issue.

Kind of result
Ratios include odds ratios and risk ratios.
no effect (0) -2.52 1.56

Crosses the no-effect line. The interval includes 0 (no difference). The data are compatible with anything from about 2.52 kg lower to about 1.56 kg higher, so the study can't tell which direction the real effect goes.

Estimate -0.48 kg; 95% interval -2.52 to 1.56 kg.

Effect size reader

Many studies report a standardized mean difference (SMD), sometimes called Cohen's d or Hedges' g: the gap between two groups measured in standard deviations, so results on different scales can be compared. The labels "small, medium, large" you'll see for values near 0.2, 0.5 and 0.8 are rough conventions, not rules. Pre-filled with the soreness result (−0.81) from the cold-water study in the October 20 issue.

group A group B

With an effect size of 0.81, the two groups' curves share about 69% of their area, and a random person from the higher group beats a random person from the lower group about 72% of the time (50% would be a coin flip).

The minus sign only says which group came out lower. Whether lower is good depends on what was measured: lower soreness is good, lower strength isn't.

What the digest can't tell you

Limits

  • The interval reader only compares the numbers you type with the no-effect line modeled. It can't check whether the study was done well.
  • The overlap and "beats" percentages assume both groups follow a bell curve with the same spread modeled. Real data often don't, so treat them as a picture of the size, not a precise fact.
  • Nothing here tells you what to do with your training.
  • Nothing you type leaves your browser.