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THE KEXBI DIFFERENCE

How to find true maintenance calories: why trackers fail

Your metabolic rate is a dynamic feedback loop, not a static spreadsheet calculation; holding true maintenance requires constant, data-driven correction.

AT A GLANCE

The argument in five lines

  1. Maintenance is the hardest of the four goals to hit, because the number that keeps you weight-stable is not fixed. It moves with your training load, your lean mass, your NEAT, and the adaptations still working themselves out from your last cut or bulk.
  2. Total daily energy expenditure is not a spreadsheet output. It is a feedback system. Cut hard and TDEE can fall further than the maths predicts, and research suggests the effect can persist for months and sometimes years [1,2]; bulk and it tends to rise.
  3. NEAT, the movement you do without thinking about it, is the biggest and most volatile lever in the equation. Individuals differ by up to 2,000 kcal per day in unconscious daily movement, and the same person's NEAT moves with intake [3].
  4. A standard tracker sets your target once and treats "hitting it" as success. Weight-stable is not the same as body-composition-stable, and a fixed number cannot see either.
  5. KEXBI treats maintenance as a control loop. The target is derived from your current lean mass, corrected each week from the scale and body-composition trend, and adjusted for the actual training on your calendar.

Ask a lean, trained person which of the four goal states is hardest to hold and they will name maintenance every time. Cutting has a clear direction and a clear stop line. Bulking has a clear direction and a scale trend to correct against. Maintenance is a moving target dressed up as a single number, and the app on your phone is the wrong tool to hold it.

Your maintenance number is not a constant. It is what your body settles on this week, given what you have been eating, training, sleeping and adapting to for the last three months.

Chapter 01 · Why the number movesTDEE is a feedback system, not a spreadsheet

The textbook picture of energy expenditure is four boxes: basal metabolic rate, the thermic effect of food, the energy cost of exercise, and non-exercise activity thermogenesis. Add them up and you get TDEE. The picture is useful for teaching. It is misleading for planning maintenance, because it implies the four numbers are stable inputs.

They are not. The body defends its weight actively. Rosenbaum and Leibel 2010 summarised the evidence for adaptive thermogenesis: after weight loss, measured resting metabolic rate drops more than the fall in tissue mass predicts, and the reduction persists [1]. The Biggest Loser follow-up, Fothergill and colleagues 2016, tracked contestants six years after a large weight loss and found average resting metabolic rate remained about 500 kcal per day lower than expected for their current weight [2]. Research suggests adaptive thermogenesis is real and can be durable.

NEAT is the noisiest term in the equation. Levine and colleagues showed that NEAT changes with intake: under overfeeding it rose far more in some people than in others [3]. Between people of similar size, NEAT can differ by up to about 2,000 kcal per day [12]. Two people of the same weight and lean mass can differ by that much on a given day, and the same person can differ by hundreds of kilocalories week to week.

Add these two effects together and the "TDEE number" you were handed at the start of your maintenance phase can be out of date within weeks.

Chapter 02 · What the tracker seesA number, once, and no updates

A standard tracker asks for your age, sex, height, weight, and activity level, hands back a calorie target, and calls the setup finished. The target is a Mifflin-St Jeor or Harris-Benedict estimate multiplied by a fixed activity factor. Neither of those inputs updates itself in response to your last twelve weeks of training or your last diet phase. The app records what you ate against a number it computed on day one and treats "hitting it" as success.

Two problems follow.

The maintenance number can be off on day one for many people, in one direction or the other. Mifflin-St Jeor can miss measured RMR by 5 to 10 percent or more in a large fraction of adults [4], and Harris-Benedict is less reliable. The activity-factor multiplier is a categorical guess. The person who reports "moderately active" and the person who reports "very active" may occupy the same real position; the person who logs one workout a day may still have half the NEAT of the person who does not sit still. The starting estimate is likely to be off by a few hundred kilocalories in either direction.

The maintenance number then drifts, and the app cannot see it. Metabolic adaptation from a prior cut suppresses RMR; a hidden bulk raises it; illness or a busy week at work drops NEAT; a new training block raises it. Weight-stable at one intake does not mean weight-stable at the same intake next month. Body composition can shift silently while the scale reads the same number, because a kg of lean tissue and a kg of fat tissue occupy the same 1 kg on the scale but do very different work on TDEE.

Figure 01 · What "maintenance" looks like at week 12

Same scale reading, two different bodies

Fixed target, no updates

Scale stable, composition drifted

Week 0 body weight80.0 kg
Week 12 body weight80.0 kg
Lean mass change−1.4 kg
Fat mass change+1.4 kg
Body fat up about 1.7 pointsSilent slide
Adaptive target, corrected weekly

Composition held

Week 0 body weight80.0 kg
Week 12 body weight80.0 kg
Lean mass changeabout 0
Fat mass changeabout 0
Body fat heldActual maintenance
Fig 1. The scale can read the same number at week 12 while body composition has drifted meaningfully. Illustrative only; not data from a single study.

The person on the left did their job. They hit the tracker's number every day. The tracker cannot see body composition, so in this illustration they traded a small amount of muscle for a small amount of fat while the scale held steady.

Chapter 03 · What "maintenance" actually protectsBody composition, not body weight

For someone who trains, the point of a maintenance phase is not to keep a specific number on the scale. It is to preserve the body composition you built, defend the training you can do in that body, and let adaptive thermogenesis settle after a cut or a bulk. The right maintenance number is the one that holds those three things at once.

Three levers matter more than the daily calorie total.

Protein intake. Higher protein defends lean mass in energy balance and in a deficit, with meaningful benefits up to about 1.6 to 2.4 g per kg body weight per day [5,6]. In maintenance, this range supports muscle on non-training days too.

Training stimulus. Resistance training raises muscle protein synthesis for 24 to 48 hours after a workout. During maintenance, keeping a resistance-training stimulus on the calendar helps preserve the lean mass that maintenance is trying to hold [7].

Training-day energy. Days with a hard workout need more fuel than days without one. Handing you a single flat number across the whole week averages the two, and the average is wrong on both days. Training days come in under; rest days come in over.

Chapter 04 · Post-cut maintenanceThe window where adaptive thermogenesis lives

The period after a fat-loss phase is where standard trackers fail most predictably. You may arrive at goal weight with a suppressed RMR, an elevated hunger drive, and a metabolism that is not yet at the level the tracker's estimate assumes.

Research suggests a controlled reintroduction of calories: raise intake in small weekly increments and track body composition, hunger, and training output as the metabolism recovers [8]. What a fixed-target tracker does instead is snap the target from deficit-mode to a computed "maintenance" that is a few hundred kilocalories too high, because the computation cannot see the adaptation. A common outcome is fat rebound in the first few weeks, followed by the belief that you are "the kind of person who gains weight easily."

Two things a tracker cannot know at the end of a cut How suppressed your resting metabolic rate is right now, relative to the naive equation.
How much of the weight you are about to gain in a bounce is fat versus lean.
Both matter for what the target should be tomorrow. Neither is in the tracker's model.

Chapter 05 · What KEXBI does about itMaintenance as a control loop

Maintenance is not a single-number problem. It is a control-loop problem: measure, correct, measure again. KEXBI runs the loop for you, and the mechanism has three inputs it wants you to keep feeding.

The planned intake is what the engine put on the plate for the day. The tracked intake is what you actually logged as eaten. The weigh-in is what the scale returned. Given all three across a rolling window, the engine back-solves your actual TDEE from the numbers themselves: measured intake minus the energy stored or released by your observed weight change equals what your body must have burned. Far less borrowed from a population equation; an estimate of what your body burned this week, from what you actually did.

The arithmetic, plainly Measured TDEE = average daily logged intake minus (weight change in kg × 7,700 kcal / kg) ÷ days
Every day of logged intake and every weigh-in tightens the estimate. Skipped days widen it.
Figure 02 · The maintenance control loop

Five steps, running every week

01
Derive the baseline
Cunningham-based BMR from measured lean mass, scaled by an honest activity factor, before any tracker-style assumptions are made [9].
02
Add today's training
Training-day AEE is added on top of the baseline. Rest days sit at baseline. The plate matches the training day, not a monthly average.
03
Distribute protein
Daily protein is set per kg of lean mass for your goal (1.9 g per kg of lean mass at maintenance) and distributed across meals in doses spread through the day [5,6].
04
Measure the actual TDEE
Back-solve TDEE from the three logged streams: planned intake, tracked intake, and the seven-day weigh-in trend. This estimates your body's actual energy expenditure this week from your own data, not from an equation alone [1,2,10].
05
Correct the target and tighten the estimate
If the measured TDEE drifts above or below the target for two consecutive weeks, the baseline is nudged. Every extra day of logged intake and every extra weigh-in narrows the confidence band around the estimate. The more you log, the smaller the correction has to be.
Fig 2. Maintenance as a closed loop rather than a single spreadsheet output. Each step compensates for something the fixed-target model cannot see: metabolic adaptation, NEAT variability, or a lean-versus-fat trade with no scale change.
Figure 03 · The estimate tightens with data

How your logged intake and weigh-ins narrow the TDEE band

Day 7
about ± 500 kcal
Day 21
about ± 200 kcal
Day 42
about ± 100 kcal
Day 90
about ± 50 kcal
Black tick = current best estimate of your TDEE · Teal band = uncertainty range
Fig 3. The precision of any back-solved TDEE estimate is dominated by short-term weight noise (hydration, glycogen, GI content). At seven days, a 1 kg hydration swing is worth roughly 1,100 kcal per day of apparent expenditure. Across ninety days the noise averages out, and the estimate converges near your true TDEE. Illustrative ranges; exact precision depends on logging consistency and body-comp stability.

Chapter 06 · The pointMaintenance is a job the tracker cannot do

The tracker was built to hit a fixed calorie target. Maintenance is not a fixed calorie target. It is what your body settles on this week, given three months of adaptation, a training week that is different from last week's, and NEAT that moves with your intake and your sleep. Holding it takes measurement, correction, and a target that updates. The right answer is not a smarter starting number. It is a control loop that runs every week, works to hold body composition rather than body weight, and treats the scale as a signal rather than a scoreboard.

References

  1. Rosenbaum M, Leibel RL. Adaptive thermogenesis in humans. Int J Obes 2010;34(Suppl 1):S47 to S55.
  2. Fothergill E, et al. Persistent metabolic adaptation 6 years after "The Biggest Loser" competition. Obesity 2016;24(8):1612 to 1619.
  3. Levine JA, Eberhardt NL, Jensen MD. Role of nonexercise activity thermogenesis in resistance to fat gain in humans. Science 1999;283(5399):212 to 214.
  4. Frankenfield D, Roth-Yousey L, Compher C. Comparison of predictive equations for resting metabolic rate in healthy nonobese and obese adults: a systematic review. J Am Diet Assoc 2005;105(5):775 to 789.
  5. Morton RW, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med 2018;52(6):376 to 384.
  6. Schoenfeld BJ, Aragon AA. How much protein can the body use in a single meal for muscle-building? Implications for daily protein distribution. J Int Soc Sports Nutr 2018;15:10.
  7. Damas F, Phillips SM, Vechin FC, Ugrinowitsch C. A review of resistance training-induced changes in skeletal muscle protein synthesis and their contribution to hypertrophy. Sports Med 2015;45(6):801 to 807.
  8. Trexler ET, Smith-Ryan AE, Norton LE. Metabolic adaptation to weight loss: implications for the athlete. J Int Soc Sports Nutr 2014;11:7.
  9. Cunningham JJ. Body composition as a determinant of energy expenditure: a synthetic review and a proposed general prediction equation. Am J Clin Nutr 1991;54(6):963 to 969.
  10. Hall KD, et al. Quantification of the effect of energy imbalance on bodyweight. Lancet 2011;378(9793):826 to 837.
  11. Levine JA. Nonexercise activity thermogenesis: liberating the life-force. J Intern Med 2007;262(3):273 to 287.
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