Net Carbs, Explained: What a Nutrition Label Tells You and What It Doesn't
Net carbs never appear on a US Nutrition Facts label. Here is what the label really declares, how the subtraction works, and why two apps disagree.
33 articles
Every article we have published on Health — how these apps work, the decisions behind them, and where their limits are.
Nutrition tracking explained from the label up: what protein, net-carb and sugar figures mean, how to turn a macro target into grams you can log, and why food databases disagree. Alongside them are practical guides to meal planning, pantry lists and batch cooking.
These articles are general information, not medical advice. They cite public-health and government sources, listed at the end of each one.
Covering 3 apps in this category.
The articles in this category that other articles link to most often.
Net carbs never appear on a US Nutrition Facts label. Here is what the label really declares, how the subtraction works, and why two apps disagree.
A practical guide to logging protein on Android: what the official intake references say, why tracking habits collapse, and how to build one that lasts.
What each line of a US Nutrition Facts panel is required to mean, where rounding hides real amounts, and which numbers are conventions rather than advice.
One plan, several eaters. Build a week around a vegetarian, low-carb or allergy-aware household member without cooking two separate dinners.
An ingredient-match allergy flag in a recipe app is a text comparison, not a safety check. Here is what it catches, what it misses, and how to use it.
A plan that collapses on day three usually failed when it was written. The five ways weekly meal plans break, and the design changes that hold.
Some dishes reheat well and some fall apart. Which categories batch reliably, how to portion them, and where to stop before food waste starts.
Matching recipes against an ingredient list you already own, deciding what counts as a substitute, and knowing when a missing item actually matters.
A workable weekly plan starts from what you already have and how many nights you will actually cook. A method that survives a bad Wednesday.
An inventory only helps if updating it is nearly free. What to track, what to deliberately ignore, and how the list should build itself.
Recipe nutrition depends on ingredient entries, yield assumptions and cooking losses. Why two calculators disagree and which figure to trust.
Ingredients scale linearly, cooking times and seasoning do not. What changes when you scale a recipe up, and how the nutrition figures move with it.
A reaction log is only useful if it records time, quantity and context. What to capture, and the hard limit on what a log can tell you.
Why the Nutrition Facts label separates added from total sugars, what counts as added, and how the distinction interacts with low-carb tracking.
What makes a protein 'complete', why the combining rule was relaxed, and what the distinction means for someone tracking protein rather than studying nutrition.
Why fluid and sodium shift when carbohydrate intake drops, what electrolytes do, and why this is a topic for a clinician rather than self-management.
What GI measures, why glycemic load was introduced to fix its biggest flaw, and the practical limits that make both figures weaker than they look.
Why most people miss a protein target, where the grams actually come from, and practical adjustments for budget, vegetarian and low-appetite constraints.
The symptom cluster reported when starting a low-carb diet, the explanations usually offered, and which symptoms should send you to a doctor.
Keto macro ratios are a convention, not a regulated standard. Here is the arithmetic that converts them to grams, and where the conversion misleads people.
Four low-carb trackers compared on net carb conventions, ketone and fasting logs, and where each one puts its paywall. Checked September and October 2026.
How plant and animal protein differ in amino acid profile, density and what comes packaged with them — and what that means when you are tracking.
Why some expert groups recommend higher protein intakes for older people, what the reference intakes actually cover, and where the evidence is still contested.
Whether the body can only use a fixed amount of protein per meal, what the published reviews say, and why total daily intake is the number that matters most.
A high protein foods list answers three different questions at once. Here is how per-serving, per-calorie and protein-quality figures actually differ.
Three protein trackers compared on what actually differs: database depth, where the paid line sits, and how many taps a repeat meal really costs.
What each line of a US Nutrition Facts panel is required to mean, where rounding hides real amounts, and which numbers are conventions rather than advice.
What a label's serving size represents, why it is not a recommendation, and how the gap between it and your portion distorts a day's tracking.
What polyols are, how they appear on a label, why they differ from each other in tolerance and effect, and how low-carb net carb arithmetic treats them.
What total daily energy expenditure is made of, how accurate prediction equations really are, and why a calculator output is an estimate to test.
What ketones are, what blood, urine and breath tests each measure, and why published sources are explicit that a reading is not a self-diagnostic tool.
Label tolerances, crowd-sourced entries, natural variation and preparation differences — why the same food shows different numbers in different apps.
The RDA, the AMDR, the label Daily Value and the athlete range answer four different questions about protein. Here is what each one was built for.
What the four fasting patterns in the literature actually are, where names like 16:8 come from, and why the NIA says evidence is insufficient to recommend one.
A practical guide to logging protein on Android: what the official intake references say, why tracking habits collapse, and how to build one that lasts.
Net carbs never appear on a US Nutrition Facts label. Here is what the label really declares, how the subtraction works, and why two apps disagree.