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Food & MealGenerated accuracy model review: 2026-05-06
Sugar Reduction Calculator accuracy and testing
This page documents how Calwarden builds trust for this calculator: source notes, regression-style default tests, limitations, assumptions, unit handling, rounding, and visible change history.
Formula source
- New sugar = original sugar x (1 - reduction percent / 100). Per-serving values divide by servings.
Test cases
Default input regression check
Generated from the checked-in default inputs and calculate function.
Inputs
- Original Sugar: 200 g
- Reduction: 25%
- Servings: 10
Expected outputs
- New Sugar Amount: 150 g
- Sugar Removed: 50 g
- Removed per Serving: 5 g
- New Sugar per Serving: 15 g
Known limitations
- This page documents the checked-in calculator logic and does not certify results for every real-world edge case.
- Use the result as a planning estimate unless the calculator page states a stricter purpose.
Assumptions
- All prices, rates, package sizes, and recipe values are user-entered unless clearly labeled as a general planning default.
- Calculations run locally in your browser and do not store food, nutrition, household, or budget details.
- This is planning math, not nutrition, medical, allergen, or food-safety advice.
Unit handling
- Original Sugar accepts values in g.
- Reduction accepts values in %.
- Servings accepts numeric values.
- New Sugar Amount is displayed in g.
- Sugar Removed is displayed in g.
- Removed per Serving is displayed in g.
- New Sugar per Serving is displayed in g.
Rounding rules
- Number displays use up to 2 decimal places in the calculator UI.
- Input precision follows configured step values where provided.
Version history
1.0.0 - 2026-05-06
Generated accuracy and testing page from the current sugar-reduction-calculator calculator definition.
Change log
2026-05-06
Published default regression test documentation and metadata fallbacks for Sugar Reduction Calculator.
Calculator transparency
Accuracy pages are generated from checked-in calculator definitions and can be upgraded with curated review metadata over time.