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A Supplement Trial With No Placebo: Reading the Confidence Interval Correctly

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A Supplement Trial With No Placebo: Reading the Confidence Interval Correctly

A supplement company recruits 20 student volunteers to test whether a 500 mg "focus" capsule speeds reaction time. Each student performs a computer reaction-time test twice at 9 a.m.; the first trial is discarded as practice. Each then takes the capsule, waits 30 minutes, and repeats the test. Mean reaction time falls from 248 ms to 235 ms. The mean within-student change is −13 ms, with a standard deviation of the individual changes of 24 ms. Students reported feeling "more alert," and the research assistant who ran the tests knew which capsules were active. There is no placebo group, no washout day, and the capsule contains 80 mg of caffeine, which the consent form does not mention.

1. Compute the standard error and the 95% confidence interval for the mean change. Does the interval exclude zero, and does that prove the supplement works?

Read the worked answer

Standard error of the mean change:

  • SEM = 24 ÷ √20 = 24 ÷ 4.47 ≈ 5.4 ms

95% CI:

  • 13 ± 1.96 × 5.4 = 13 ± 10.5 → 2.5 to 23.5 ms faster

The interval excludes zero, so the observed improvement is unlikely to be explained by random sampling variation alone (P < 0.05). That is a statement about precision, not about validity.

Why it does not prove the supplement works:

  1. No placebo arm - expectation and the ritual of taking a pill can produce arousal effects of this size.
  2. Only one discarded practice trial - reaction time improves with familiarization between blocks; the second block is always faster regardless of any pill.
  3. No blinding - the assistant knew the assignment and could cue participants.
  4. Unblinded stimulant - 80 mg of caffeine is a pharmacologically active dose, so any genuine effect cannot be attributed to the "focus" ingredients.
  5. Time-of-day and single session - 9 a.m. alertness rises on its own.

Judgment: the data are statistically distinguishable from zero but the design cannot assign causation. A significant CI from a confounded design is a precise estimate of the wrong quantity.

2. Redesign the study so the question can actually be answered. Name the specific design features and what each one removes.

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Design: randomized, double-blind, placebo-controlled crossover.

  • Placebo capsule (identical appearance and taste): removes expectancy and ritual effects - the largest single threat here.
  • Randomization: removes selection/allocation bias (e.g., faster students volunteering first).
  • Blinding of both participant and test assistant: removes cueing and scoring bias.
  • Crossover with counterbalanced order and ≥48 h washout: every student serves as their own control, removing between-person variability and balancing order/practice effects across arms.
  • Multiple baseline trials until performance plateaus (e.g., 5 trials, use the last 3): removes the familiarization effect instead of trying to discard it with one trial.
  • Caffeine matched or absent in both arms: removes the confound; if caffeine is the active ingredient, that is the claim to test.
  • Pre-registered primary outcome and sample-size calculation: prevents post-hoc selection of whichever measure looked best; with SD of changes = 24 ms and a smallest meaningful effect of 10 ms, the study needs roughly 60 participants per arm for 80% power, not 20.
  • Standardized testing time and environment: removes circadian and noise variation.

3. A properly blinded repeat gives a −13 ms change on supplement and a −10 ms change on placebo, with a 95% CI for the between-arm difference of −7 to +13 ms. What is the correct conclusion, and how should it be reported?

Read the worked answer

Point estimate: supplement advantage = −13 − (−10) = −3 ms (3 ms faster, favoring supplement).

Interval: 95% CI −7 to +13 ms, which includes zero. (Sign convention here: negative favors the supplement, so the interval spans from a 7 ms benefit to a 13 ms slower performance.)

Correct conclusion: there is no evidence of a benefit. The study cannot rule out a trivial benefit of a few milliseconds, but it rules out - with 95% confidence - any benefit larger than about 7 ms.

Context matters for the interpretation: the original unblinded comparison produced a 13 ms "effect," and roughly 10 of those 13 ms were reproduced by the placebo. That is the signature of expectancy and practice, not pharmacology.

How to report it:

  • State the estimate with the interval, not P alone: "3 ms favoring supplement, 95% CI −7 to +13 ms."
  • State the smallest effect that would matter to a student (probably ≥10–15 ms, i.e., a real change in test performance) and note the interval is almost entirely below that threshold.
  • Do not claim the supplement "failed" or "worked"; say the trial did not detect a meaningful effect and give the interval so readers can judge.
  • Disclose the caffeine content and the change in design, so the earlier result can be understood as a confounded preliminary study.