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How much do calorie calculators actually disagree?

We ran one profile through every widely used BMR equation and every standard activity multiplier. The equation you pick moves the answer by 170 kcal. The activity level moves it by 1,147.

By Hammad ShahidPublished

Why do two calorie calculators give me completely different numbers?

Because they make two hidden choices, and only one of them matters much. Running the same 32-year-old, 175 cm, 70 kg man through four published BMR equations produces a spread of 170 kcal, about 10%. Running that same person through the five standard activity multipliers produces a spread of 1,147 kcal. The activity level you select changes the result roughly seven times more than which equation the site chose, so a large gap between two calculators is almost always a disagreement about how active you are, not about the underlying science.

Method

Two profiles were run through four published resting-metabolism equations, then through the five activity multipliers that almost every calculator uses. Nothing here was taken from another website. Each figure comes from applying the equation as published, so the whole table can be reproduced from the four papers cited at the end and a calculator.

The profiles are 32 years old, 175 cm, 70 kg, male, and 32 years old, 165 cm, 62 kg, female. The Cunningham equation predicts from lean mass rather than total weight, so it needs a body-fat percentage. It is reported at three plausible values instead of one, because assuming a single figure would hide exactly the kind of choice this analysis is about.

Result 1: the equation barely matters

For the male profile, every published equation lands within 170 kcal of every other, a spread of about 10%.

Estimated BMR for 32 years old, 175 cm, 70 kg, male, by equation.
EquationBMR (kcal)
Mifflin-St Jeor (1990)1,639
Harris-Benedict, original (1919)1,689
Harris-Benedict, Roza-Shizgal revision (1984)1,684
Cunningham (1980), at 25% body fat1,655
Cunningham (1980), at 20% body fat1,732
Cunningham (1980), at 15% body fat1,809

The female profile spreads wider, 329 kcal or about 25%, and almost all of that comes from Cunningham. That is not a defect in Cunningham. It is the equation correctly reporting that lean mass matters, and that assuming a body-fat percentage for somebody is a bigger guess than most calculators admit.

Estimated BMR for 32 years old, 165 cm, 62 kg, female, by equation.
EquationBMR (kcal)
Mifflin-St Jeor (1990)1,330
Harris-Benedict, original (1919)1,404
Harris-Benedict, Roza-Shizgal revision (1984)1,394
Cunningham (1980), at 25% body fat1,523
Cunningham (1980), at 20% body fat1,591
Cunningham (1980), at 15% body fat1,659

Result 2: the activity level decides almost everything

Hold the equation fixed at Mifflin-St Jeor and change only the activity level, and the same man ranges from 1,967 to 3,114 kcal.

Estimated TDEE for 32 years old, 175 cm, 70 kg, male, Mifflin-St Jeor held constant.
Activity levelMultiplierTDEE (kcal)
Sedentary1.21,967
Lightly active1.3752,253
Moderately active1.552,540
Very active1.7252,827
Extra active1.93,114

That is a 1,147 kcal spread from one dropdown, against 170 kcal from the entire disagreement between four equations developed across a century. The activity multiplier moves the answer roughly seven times more than the science does.

Combine both sources of variation and the same person can be told anything from 1,966 to 3,437 kcal a day. That is the range a genuinely confused user is looking at when they compare four websites.

What this means if you are just trying to eat properly

Stop comparing calculators. Two sites differing by 200 kcal are not disagreeing in any meaningful way, and picking the one whose number you prefer is choosing an activity level by wishful thinking.

Spend the effort on the input that actually moves the result. Being honest about your activity level is worth more than any choice of equation, which is why it is worth reading how to choose your activity level before trusting any output.

Then treat whatever number you get as a hypothesis. Eat near it for two to three weeks, watch the weekly average, and let the scale tell you your real maintenance level. That figure is measured on you, which no equation can be.

Limitations

This compares equations, not branded websites. A given calculator may round differently, offer a different number of activity levels, or apply a multiplier this analysis did not test, so its output can sit outside these ranges.

Two profiles are not a population. The spreads reported here describe these two people, and the gaps between equations widen or narrow at different ages, weights and body compositions.

Most importantly, none of these equations is the truth. A 2005 systematic review found Mifflin-St Jeor predicted resting metabolic rate within 10% of measured values more often than the other commonly used equations, and with the narrowest error range, which is why this site uses it. The same review was explicit that noteworthy individual errors remain, and that older adults and several ethnic groups were underrepresented in the studies these equations were built from. An equation being the best available is not the same as it being right about you.

Sources

  • The Mifflin-St Jeor equation, and the population it was fitted to.

    Mifflin MD, St Jeor ST, Hill LA, et al. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990;51(2):241-247.

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  • The 1984 reevaluation of the Harris-Benedict equation, used here as the revised Harris-Benedict coefficients.

    Roza AM, Shizgal HM. The Harris Benedict equation reevaluated: resting energy requirements and the body cell mass. Am J Clin Nutr. 1984;40(1):168-182.

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  • The Cunningham equation, which predicts resting metabolic rate from lean body mass rather than total weight.

    Cunningham JJ. A reanalysis of the factors influencing basal metabolic rate in normal adults. Am J Clin Nutr. 1980;33(11):2372-2374.

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  • That Mifflin-St Jeor predicted resting metabolic rate within 10% of measured values more often than the other commonly used equations, and had the narrowest error range, while still carrying noteworthy individual errors.

    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):775-789.

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Health note

These are estimates from published equations, not measurements, and not medical advice. Indirect calorimetry is the only way to measure resting metabolic rate rather than predict it.

If you have a medical condition, are pregnant or breastfeeding, have a history of eating disorders, or are making a significant change to how you eat or train, consider speaking with a qualified healthcare professional.