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No multiplier TDEE

Instead of deciding whether you are “lightly” or “moderately” active, this estimates the parts of daily expenditure separately. Albeit still a model, an arbitrary estimate, should be much more accurate than most TDEE calculators available online.

01

Body

Used to estimate lean mass, BMR, walking distance, and weight-scaled movement cost.

BMR uses Katch–McArdle: 370 + 21.6 × lean mass in kg. Body-fat measurement error flows directly into this estimate.

02

Everyday movement

Choose either a transparent step calculation or a phone-reported active-calorie estimate.

If step length is blank, distance uses the rough proxy of 41.4% of height. Measure and enter your own average to remove that assumption. Walking uses a net cost of 0.5 kcal/kg/km. Background NEAT covers standing, dishes, hygiene, fidgeting, and walking without your phone.

The step mode uses no wearable calorie estimate. Phone active calories are an optional fallback, not a trusted measurement: confirm your profile weight is current, use only one movement source, and do not use them if they already include lifting or exercise that you add below. Never put a whole-day wearable total in EAT or lifting.

03

Entered exercise ?

Exercise activity thermogenesis (EAT) that is neither steps nor resistance training.

Use a conservative manual average for running, cycling, swimming, or sport. A wearable estimate is acceptable only when it is active calories for that specific exercise session and duration—not resting calories or a whole-day total. Treat it as rough. Do not double-count activity already covered by your movement source, and do not enter lifting here.

04

Resistance training

A conservative session estimate, including a modest allowance for EPOC, averaged over the week.

At 75 kg the model starts at 90, 140, or 190 kcal by intensity; applies ×0.8 or ×1.15 for volume; adds 5–15% for EPOC; scales linearly with body weight; and caps the result at 250 kcal/session. This is an explicit heuristic, not a claim that sets and reps predict exact expenditure.

05

Food

Thermic effect of food (TEF) changes with intake and macronutrients.

Protein uses 25% TEF. By default, remaining calories are modeled as 55% carbohydrate and 45% fat, with TEF of 7.5% and 2.5%. Enable manual macros to override that split; any calories not assigned to protein, carbohydrate, or fat are conservatively treated as fat for TEF.

METHOD

How do we calculate it?

No activity multiplier

The total is BMR + a selected movement source + untracked NEAT + entered non-lifting exercise + weekly averaged lifting + TEF. Each part stays visible.

Net walking cost

Because BMR already includes resting expenditure, the step component uses a conservative net cost rather than adding the full gross cost of walking.

Lifting is uncertain

Resistance sessions vary enormously by exercise, rest, work performed, and individual. EPOC exists but does not justify treating a lifting session as an enormous calorie burn.

Calibration beats formulas

Use the estimate as a starting point. Consistent intake and multi-week body-weight trends are more informative than any calculator or watch.

Constant audit

What the evidence says, what this calculator chooses, and what gets lost.

BMR / 370 + 21.6 × LBM

Basis. The Katch–McArdle equation predicts resting expenditure from fat-free mass. The linked clinical analysis states this exact equation.

Nuance. It is more accurately a resting metabolic rate prediction, although calculators commonly label it BMR. A prediction is not indirect calorimetry. Body-fat error changes lean mass and therefore the result; illness, energy restriction, age, and individual physiology can also make measured RMR differ.

Equation and measured-RMR comparison ↗

Step length / height × 0.414

Basis. Height correlates with step length, and the default lands near preferred step lengths in published gait datasets.

Nuance. The coefficient itself is a convenience heuristic, not a universal physiological constant. Speed, leg length, age, terrain, and gait all matter. That is why measured step length can override it.

Measured gait dataset and individual variation ↗

Walking / 0.5 kcal/kg/km

Basis. The ACSM level-walking equation assigns 0.1 mL O₂/kg per metre to horizontal movement. Across 1 km, using about 5 kcal per litre O₂, that converts to roughly 0.5 kcal/kg/km above rest.

Nuance. This is net cost because BMR is already included. A clinical statement reports gross walking cost around 1.15 kcal/kg/mile (about 0.71/kg/km). Grade, load, surface, gait, and unusual speeds change cost.

Clinical practice statement on walking cost ↗

Untracked NEAT / 150 × weight/75

Basis. NEAT genuinely includes posture, fidgeting, and daily activity outside formal exercise. Research shows very large person-to-person responses.

Choice. The 150 kcal baseline and 0.7/1.0/1.3 optimism settings are not research-derived population averages. They are a deliberately visible estimate for movement missed when people do not carry their phones. Occupation and habits can make them badly wrong; calibrate against multi-week trends.

Measured interindividual NEAT variation ↗

Phone active calories / optional

Basis. This is not an equation used by the calculator; it is an opt-in user input that replaces the step-derived movement subtotal.

Nuance. Consumer-device energy estimates vary substantially, and resistance training is a particularly poor use case. In this mode the number is treated as a rough fallback only. It must not include lifting or exercise entered elsewhere, otherwise the total is double-counted. Background NEAT is still added for activity missed without the phone.

Systematic review of consumer-wearable validity ↗

Lifting / 90–190 kcal at 75 kg

Basis. Studies using indirect calorimetry report very different costs across protocols. One study measured roughly 124–132 kcal during a session and another 20–25 kcal during the following hour.

Choice. Intensity bases, volume factors, linear body-weight scaling, 5–15% EPOC, and the 250 kcal cap are conservative product decisions—not a validated resistance-training equation. Reviews disagree on which training variables best predict expenditure.

Wearables. They are not assumed to always overestimate: validation studies find both over- and underestimation. The useful conclusion is that resistance-training calorie estimates are unreliable, with reported mean absolute errors ranging roughly 15–57%.

Measured session and EPOC ↗Measurement methods and wearable validity ↗

TEF / 25%, 7.5%, 2.5%

Basis. These are midpoints within commonly reported ranges: protein about 20–30%, carbohydrate 5–10%, and fat 0–3%.

Choice. By default, the model assigns 55% of non-protein calories to carbohydrate and 45% to fat. Enabling manual macros replaces that split with entered carbohydrate and fat grams. Any unassigned calories are treated conservatively as fat; entering complete macros improves this component.

Macronutrient-specific TEF review ↗

For general informational use only. This is not medical or nutrition advice. Don't hold me accountable...