Exercise 2: A Real Way Missing Randomization Could Have Skewed the Result — Possible Solution ================================================================================================= A genuinely plausible scenario: Lind, without randomly assigning sailors to pairs, might have unconsciously (or for practical reasons, such as which sailors were bunked or working near each other) grouped sailors who already shared some real, unmeasured trait - for example, sailors who had joined the voyage more recently, and therefore had eaten a comparatively better, more varied diet in the weeks just before boarding, compared to sailors who had been at sea longer on a more restricted diet. If, purely by how Lind happened to group them, the citrus pair included two sailors who already had a slightly stronger underlying nutritional baseline for reasons unrelated to the citrus itself, part of their real improvement could be explained by that pre-existing difference rather than by the citrus treatment alone. Without random assignment, there's no real way to rule this out - the grouping itself could quietly favor one pair before the actual remedies were even introduced. Randomization would have addressed this by spreading real, unmeasured differences like prior diet or general health roughly evenly across all six pairs by pure chance, rather than risking them clustering into one particular group due to how the sailors happened to be selected. ANSWER: A real, plausible example: without randomization, sailors with a stronger pre-existing nutritional baseline (say, from a more recent arrival to the ship) could have ended up disproportionately in one pair - for example, the citrus group - meaning some of that group's real improvement might reflect a pre-existing difference rather than the treatment itself. Random assignment would have spread such unknown differences evenly across all six pairs instead. WHY THIS WORKS AS AN ANSWER ------------------------------ This proposes a genuinely plausible, concrete confounding factor tied to the trial's own real context, rather than a vague, generic statement that "randomization is important."