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.
/personal/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.
/result
A modeled range caused by the entered food-intake range (not a confidence interval).
These are the generic BMR multipliers used by many calculators. They are shown for reference only as they are generally way too optimistic.
The total is BMR + a selected movement source + untracked NEAT + entered non-lifting exercise + weekly averaged lifting + TEF. Each part stays visible.
Because BMR already includes resting expenditure, the step component uses a conservative net cost rather than adding the full gross cost of walking.
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.
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.
370 + 21.6 × LBMBasis. 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 ↗height × 0.414Basis. 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 ↗0.5 kcal/kg/kmBasis. 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 ↗150 × weight/75Basis. 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 ↗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 ↗90–190 kcal at 75 kgBasis. 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 ↗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 ↗Further reading
For general informational use only. This is not medical or nutrition advice. Don't hold me accountable...