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Client name: Bill
A trend, based on the analysis below, and within its assumptions and limits.
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The lean link to sets, two ways, on the same 12 six-week blocks.
Barely different: in your record, blocks with more sets did not also have more sleep or more steps, so holding those steady changes little.
For p-values, corrections for testing many questions, effect sizes and the smallest detectable differences, see The statistics behind this below.
Three things you did, on average, across each block, each compared within an epoch.
How your body composition changed over each block.
Written down on 2026-10-27, before it ran, as an extra check: you had already seen the sleep and sets results. The sets link to lean: about a 1-in-27 chance of a link this strong by luck alone (p = 0.037, raw). Allowing for the six links in the model, the corrected value is 0.22.
Nothing else in it passes even on its own: not sleep, not steps, and nothing for fat mass.
For p-values, corrections for testing many questions, effect sizes and the smallest detectable differences, see The statistics behind this below.
One least-squares fit per outcome on the three levers, each centred within epoch; each coefficient tested by Freedman-Lane permutation within epoch (20,000); smallest detectable coefficient; Holm across the six coefficients. Within epoch the levers barely move together: sets and sleep r +0.00, sets and steps +0.10, sleep and steps -0.28.
| Lever | Outcome | Per unit, lb / 14 d | Detectable | p | Holm (6) |
|---|---|---|---|---|---|
| Sleep, per extra hour a night | lean mass | −0.89 lb | 1.49 lb | 0.264 | 1.00 |
| Sets, per 10 more a week | lean mass | +0.22 lb | 0.21 lb | 0.037 | 0.22 |
| Steps, per 1,000 more a day | lean mass | +0.10 lb | 0.27 lb | 0.532 | 1.00 |
| Sleep, per extra hour a night | fat mass | +1.11 lb | 1.41 lb | 0.169 | 0.84 |
| Sets, per 10 more a week | fat mass | −0.07 lb | 0.14 lb | 0.371 | 1.00 |
| Steps, per 1,000 more a day | fat mass | +0.19 lb | 0.30 lb | 0.261 | 1.00 |
Detectable: A real change this big would just pass the test, about half the time. One about 1.4 times as big would pass it about 4 times in 5. A smaller real change could easily go unseen, so 'no change found' means 'no change this big'.
Each one runs on your own export. What you asked is written down with today's date before anything is computed, so the question stays separate from the answer.
Everything on this page uses history you had already lived. The same test, the same code, on six-week blocks that start after the registration (2026-10-25) is the real check. At a scan every two to six weeks that takes a year or more.
Nothing but to keep scanning and logging as you do.
Running from 2026-10-25
The full question puts sleep, sets, protein, calories, steps and alcohol in one model. Only 5 of the 15 blocks have food logged (none from 2025-01 to 2025-09), too few for six levers, so it runs on blocks still to come.
Log food every day in MacroFactor.
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Act soon: it is free while we stand this service up and refine it. All we ask in return is permission to publish a results page like the ones we have made for our other clients. We never publish your surname or your date of birth. The page shows a first name or a pseudonym, whichever you prefer, and your age in years and your sex.
Made by PerSci from your DEXADEXA (dual-energy X-ray absorptiometry) is a low-dose X-ray scan that measures body fat, lean mass, bone, and total body weight. More at en.wikipedia.org/wiki/Dual-energy_X-ray_absorptiometry scans, your OuraOura makes a ring worn on the finger that measures sleep, heart rate, heart rate variability and skin temperature overnight, and scores each night. More at ouraring.com ring and your StrongStrong is a phone app for logging weightlifting workouts in fine detail: every exercise, and the weight and reps of every set. More at strong.app and TrainerizeTrainerize is an app personal trainers use to send clients their workouts and to log what was done. More at trainerize.com logs. It describes a pattern in your data; it is not medical advice.