Lifted
The science behind Lifted
What the app does, why, and how sure we are.
This is the single source of truth for every rule in Lifted. The same file is
served to your AI coach through the connector (lifted://evidence), published
at liftedcoach.app/science,
and linked from inside the app wherever a rule is explained. If the app and
this document ever disagree, that is a bug and the document wins.
Every citation below was checked against the paper before publication — the DOI resolves and the abstract supports the sentence it is attached to. Where we could not verify a claim, it was dropped or downgraded rather than left in. Full references with DOIs are at the end.
Confidence vocabulary, used throughout:
- strong — multiple randomised trials or a meta-analysis point the same way
- moderate — consistent trials or cohort studies, or a meta-analysis with a small effect
- weak — expert practice, mechanistic reasoning, or contested findings
- judgement — a product decision we made on top of the evidence, and say so
Last revised 2026-09-08. Changes are listed at the end.
1. Measuring recovery
1.1 HRV as a recovery signal — moderate
Resting vagally-mediated heart rate variability (RMSSD) falls with accumulated fatigue, illness, poor sleep and alcohol, and recovers as the athlete does. The relationship holds at the group level; day-to-day noise in one person is large, which is why nothing in Lifted reads a single morning on its own.
What the app does: scores each morning against your own history, never against a population norm.
— Plews et al. 2013 [1]; Buchheit 2014 [2].
1.2 Log-transform and a rolling baseline — strong for the method
RMSSD is skewed; its natural log is approximately normal. A 7-day rolling mean of lnRMSSD is the standard way to see the trend through the noise, and the case that made it standard is instructive: in two elite triathletes tracked daily for 77 days, the 7-day rolling lnRMSSD declined toward a key race in the athlete who was later diagnosed as non-functionally over-reached, and stayed flat in the one who was not [3].
What the app does: compares this morning to your rolling 7-reading baseline, with normal day-to-day spread estimated from your last 60.
— Plews et al. 2012 [3]; Plews et al. 2013 [1].
1.3 The smallest worthwhile change — moderate
A change smaller than about half your own standard deviation is noise. The "normal" band in Lifted is your baseline ± 0.5 SD of lnRMSSD; suppressed starts below it. The convention comes from performance-testing statistics, where 0.2 SD is the smallest worthwhile change for a group and 0.5 SD is a conservative threshold for an individual [4].
— Hopkins 2004 [4]; Buchheit 2014 [2].
1.4 Resting heart rate — moderate
An elevated morning resting heart rate tracks incomplete recovery and illness, and is less noisy than HRV. It is weighted second in the score, and it is the tie-breaker in §1.8.
When there is no HRV at all — a Whoop, say, which writes resting HR and sleep to Apple Health but not HRV — resting HR becomes the band: suppressed at one standard deviation above the person's own baseline, or half a standard deviation when they also report feeling a full SD worse than usual. Never "elevated": a low resting HR is not evidence of super-compensation. The +1 SD bar is ours; Buchheit's review supports RHR as a real but blunter marker than HRV, which is why the bar is higher than the 0.5 SD used for HRV.
— Buchheit 2014 [2].
1.5 How you feel — moderate for sensitivity, judgement for weighting
A systematic review of athlete monitoring found that simple self-reported wellness measures responded to training load more consistently than the commonly used objective measures, and often earlier [5]. Lifted asks one question — 1 to 10 — and lets it move the score.
What the app does, and deliberately does not: whenever the morning has an objective term — HRV or resting HR — feel moves the score, never the band. The band is what training rules key on, and a bad mood is not evidence of a suppressed nervous system. That split is a judgement, not a finding.
With nothing but feel (no strap, no wearable), feel is the whole reading and therefore the band too. The bar is deliberately strict and doubly gated: a 3/10 or lower, or a 4 two mornings running, and at least one standard deviation below the person's own baseline. Both conditions because a single number from a groggy person is noisier than an ECG, and because a person whose normal is 4 must not trip the rule every other day. The review above is the reason a feel-only tier is offered at all rather than a "no data" screen: self-report tracked training load as well as or better than the objective markers in the studies it pooled. The thresholds are ours.
— Saw, Main & Gastin 2016 [5].
1.6 How long before a score means anything — judgement
No score before 5 mornings. "Calibrating" until 14, and a calibrating score never drives an adjustment. These numbers sit on top of the smallest- worthwhile-change literature but are ours: with five days the spread estimate is unreliable, so it is floored at a physiological minimum rather than letting a 5-day SD of 0.02 turn ordinary noise into a "suppressed" verdict.
1.7 Measurement: what a valid HRV reading needs — strong
RMSSD needs true beat-to-beat (RR) intervals. A chest strap that transmits RR is validated against ECG: the Polar H10 held 99.4% RR signal quality against a Holter ECG through high-intensity activity [6]. Optical wrist and finger sensors are not validated for resting HRV to that standard, and cheaper straps add timing jitter that inflates the number.
Wearables that write overnight HRV to Apple Health report SDNN, not RMSSD. The two are on different scales and Lifted never mixes them: a Health reading is scored only against other Health readings, a strap reading only against strap readings.
— Gilgen-Ammann, Schweizer & Wyss 2019 [6].
1.8 HRV alone is ambiguous; resting HR disambiguates — moderate
Suppressed HRV with a normal resting HR is usually training fatigue. Suppressed HRV together with an elevated resting HR skews toward illness or genuine overreaching. And in well-trained endurance athletes HRV can rise, not fall, under heavy load — parasympathetic saturation — which is one more reason never to read HRV without the resting heart rate beside it [1, 2].
What the app does: the illness state (§6) only fires on the pair.
2. Letting recovery change training
2.1 HRV-guided training works, in one direction — moderate
Three trials prescribed training day by day from morning HRV and compared it with a fixed plan: moderately fit men [7], recreational runners [8], and well-trained cyclists [9]. In each, the HRV-guided group matched or beat the fixed plan on performance. A 2021 meta-analysis of eight such studies (198 participants) found a medium positive effect on submaximal physiological measures, g = 0.30 [10].
The part that shapes Lifted: in these protocols the guided groups did fewer hard sessions, not more. The benefit came from taking hard days away on suppressed mornings. None of the trials added intensity because HRV was high.
What the app does: every recovery rule is validated as reduce-only. There is no rule, and no way to write one, that adds load because a number looked good.
— Kiviniemi et al. 2007 [7]; Vesterinen et al. 2016 [8]; Javaloyes et al. 2019 [9]; Düking et al. 2021 [10].
2.2 The honest gap: that evidence is endurance, not lifting
There is very little HRV-guided resistance training research. Strength appears fairly robust to a single bad morning. So for a lifter, Lifted does not read a suppressed morning as "skip it"; it reads it as "cut the part of the session that generates fatigue without driving the adaptation" — the volume and the accessories — and keep the top set. The two sections below are the reason that is the right cut.
2.3 Stopping a set early is a real intervention — moderate
Two randomised training studies compared programmes that were identical except for how far into fatigue each set went, measured as loss of bar velocity. Stopping at 20% velocity loss produced strength and athletic performance gains equal to or better than continuing to 40%, with much less fatigue and less fibre-type shift toward slower fibres [11]. A follow-up with four thresholds (0, 10, 20, 40%) found the same pattern across strength, jump and sprint outcomes [12].
Practically: the reps at the end of a set, where the bar has visibly slowed, cost the most and give the least.
What the app does: "Run it with a brake" — same loads, stop each set when reps slow or at about two reps in reserve. It has no progression cost.
— Pareja-Blanco et al. 2017 [11]; Pareja-Blanco et al. 2020 [12].
2.4 Reps in reserve as the in-session gauge — moderate
Repetitions-in-reserve ratings track bar velocity and percentage of 1RM closely in trained lifters (r ≈ 0.88–0.91 between %1RM and RPE across the squat, bench and deadlift in powerlifters) [14], and the RIR-based RPE scale is reliable enough to detect a grind [13].
What the app does: an optional RIR entry per set; a lift configured with an RIR brake holds instead of progressing after a hit at or below the brake. Progressing after a hit at RIR 0 usually produces a miss next time.
— Zourdos et al. 2016 [13]; Helms et al. 2017 [14].
2.5 A reduced day holds the plan — judgement, and a correction
Progression in Lifted reads the log. Before September 2026 that meant a day reduced by a recovery rule to 90% and hit prescribed 0.9 × w + increment next time — the lifter was stepped down for doing what the app told them to do. That was a bug. A day deliberately made easier is not evidence about the planned load in either direction, so it now holds the plan: no progression, no miss, no deload count. A genuine stall still shows on the next full day.
2.6 A skipped session is skipped, not owed — strong
Three findings point the same way.
- When weekly volume is held equal, how many sessions it is spread across makes no significant difference to hypertrophy (25 studies) [15] or to strength (volume-equated subgroup, p = 0.42) [16]. A session is not a unit that needs "making up"; the week is.
- One missed session is far below the detraining floor. Short-term detraining reviews put measurable losses at weeks of insufficient stimulus, not days [17], and strength and muscle can be maintained for months on a fraction of the training that built them [18].
- Stacking two heavy sessions for the same muscles inside 48 hours, on a week you skipped because you were not recovered, is adding load in a fatigued state — the exact thing §2.1 exists to prevent.
What the app does: a skipped session comes round again next week at the same prescription. The app never proposes a make-up session.
— Schoenfeld, Grgic & Krieger 2019 [15]; Grgic et al. 2018 [16]; Mujika & Padilla 2000 [17]; Bickel, Cross & Bamman 2011 [18].
2.7 What does cost progress: weekly volume drifting — moderate
Weekly hard sets show a dose-response with muscle growth — each additional weekly set associated with a further 0.37% gain across 15 studies [19]. So it is a pattern of skipped sessions, not any one of them, that shows up in results.
What the app does: tracks hard sets per group per week against your own trailing average and says something once, only when the trend breaks. It does not tell you to train more; it tells you the trend has moved.
— Schoenfeld, Ogborn & Krieger 2017 [19].
3. Strength progression
3.1 Progressive overload — strong
Load, reps or sets must rise over time for continued gains; the specific scheme matters less than the consistency [20].
3.2 Linear progression — practice
Hit → add the increment; miss → repeat; two misses → deload 10%. The standard novice–intermediate scheme; the deload after repeated misses is the usual answer to a stall [21].
3.3 Double progression — practice
Reps climb within a range on hits; weight moves only when the top of the range is hit. Used where the smallest available jump is large relative to the load.
3.4 Volume day at 80% of heavy, plus two reps — practice
A lighter repeat gives frequency without a second heavy exposure.
— Schoenfeld et al. 2017 [20]; Rippetoe & Baker [21].
4. Endurance
4.1 Zones — practice
%HRmax bands for load; heart-rate reserve or threshold-based targets when you prefer them. None is "correct"; consistency matters more than the method.
— Karvonen, Kentala & Mustala 1957 [22]; Friel [23].
4.2 Training load (TRIMP) — moderate
Banister's TRIMP and Edwards' zone score are the established heart-rate-based internal load measures. Both are computed; neither is a target.
— Banister 1991 [24]; Edwards 1993 [25].
4.3 Acute:chronic workload ratio — weak, contested
Shown as a trend only; the plan does not react to it. The original claim that it predicts injury has not held up: no study has properly estimated a causal effect, and manipulating the ratio to change injury rates is an over-interpretation of the data [27].
— Gabbett 2016 [26]; Impellizzeri et al. 2020 [27].
4.4 Aerobic decoupling — weak
The "under 5% drift on a long steady effort" heuristic is popular and plausible; the mechanism of cardiovascular drift is well described [28], the training heuristic is practice [23]. Shown per session, never used to prescribe.
5. What actually helps recovery
Ranked by effect size and how sure we are. The app offers at most three of these on a low morning, and it never claims any of them will move your score.
| Lever | What the evidence says | Confidence |
|---|---|---|
| Alcohol | In 4,098 people wearing a strap on 20,000 nights, alcohol reduced HRV-derived recovery during the first hours of sleep in a dose-dependent way — by 9, 24 and 39 percentage points for low, moderate and high intake — and the effect was there even at low intake [29]. The largest reliable single-night lever there is. | strong |
| Sleep | A 2025 meta-analysis of 11 randomised sleep-deprivation studies (549 participants) found RMSSD significantly reduced, with sympathetic markers up [30]. RMSSD is the strap metric Lifted scores. | moderate |
| Slow-paced breathing | Breathing at about six breaths per minute raises vagally-mediated HRV during and immediately after the session, and across a programme of sessions — a 2022 meta-analysis [31]; the mechanism is baroreflex resonance [32]. Ten minutes is the usual dose. | moderate |
| Easy aerobic instead of hard | The mechanism behind the HRV-guided trials in §2.1 [7–10]. | moderate |
| Psychological stress | In 31 trained students, higher chronic life stress predicted slower recovery of muscular function, energy and soreness over the 96 hours after a heavy session [33]. Stress is load. | moderate |
| Under-fuelling | Low energy availability affects many systems through the autonomic and endocrine axes; the 2023 IOC consensus lists autonomic dysfunction and impaired recovery among its consequences [34]. The direct HRV evidence is thinner than the rest of this table. | weak–moderate |
| Sauna, cold exposure, supplements | No reliable effect on HRV. | weak |
5.1 The one we tell you not to do — moderate
Cold water immersion after lifting. Twelve weeks of strength training with 10 minutes of cold water after each session produced smaller gains in strength and muscle mass than active recovery, and blunted the acute anabolic signalling that drives adaptation [35]. A second trial found the hypertrophy effect again, though strength was not impaired in that one [36]. It is the most popular recovery ritual in the culture and it works against a strength goal.
The evidence for hypertrophy is consistent; for strength it is mixed. Either way, if you lift for size or strength, keep the ice bath for a rest day.
— Roberts et al. 2015 [35]; Fyfe et al. 2019 [36].
6. Illness — safety, not coaching
When suppressed HRV meets an elevated resting heart rate, the app stops offering a menu and states a position: don't train hard today, and see a doctor if you have a fever.
The basis is precautionary rather than a trial: the European Society of Cardiology's sports guidance recommends abstaining from sport while myocardial inflammation is active, and notes that in most myocarditis cases the presentation is preceded by a prodrome — fever in about 60%, respiratory or gastrointestinal symptoms in others [37]. Nobody can tell from a heart rate strap whether a given febrile morning is one of those. The cost of resting a day you did not need to rest is one session; the cost of the other error is not. — practice / precautionary
— Pelliccia et al. 2020 [37].
7. What Lifted deliberately does not do
- No population norms. "Your RMSSD of 45 is good" is not a thing we will ever say; healthy adults span roughly 15–120 ms.
- No readiness-based increases. Nothing adds load because a score is high.
- No injury prediction. ACWR is a trend, not a forecast (§4.3).
- No model-computed numbers. Your AI may propose a program; the engine validates it and you accept it. The AI never writes a weight.
- No claim that any recovery action raises your score. The app reports what happened after you did it (§8); it does not promise.
- No diagnosis. The illness state points at a doctor and stops.
8. How the app learns what works for you
Once you log recovery actions (§5), Lifted compares the next morning's recovery on nights you did the thing with nights you did not. This is observational data on one person, and the app treats it that way:
- nothing is shown until there are at least 15 observations on each side;
- the result is a difference with a spread, never a p-value, and never the word "causes";
- one line under the table says exactly this.
It will not tell you what works for people. It may, after a few months, tell you what has tended to precede your better mornings.
Changelog
2026-09-08 — recovery tiers. §1.4 and §1.5 gain the rhr-only and feel-only tiers: a morning is scored from whatever it has, with tier-specific bands and the bars stated as judgement.
2026-09-08 — Rewritten as the single evidence document. Added §2.2–2.7 (the lifting gap, velocity loss, RIR, the reduced-day correction, skipped sessions, weekly volume), §5 (recovery levers, cold water), §6 (illness), §8. All citations re-verified against DOIs.
2026-09-07 — First version, covering the recovery score, reduce-only rules, progression, TRIMP and ACWR.
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