Our Method
How Dose Matters evaluates packaged foods — and what we do not claim.
This app is educational
Dose Matters provides information about packaged foods based on labels, public nutrition data, and curated ingredient notes. It is designed to help you think about food choices with more nuance — not to tell you what to eat or avoid.
It tries to distinguish signal from hype. It focuses on amount, frequency, sensitivity, and uncertainty. It is meant to help you avoid expensive confusion and overreaction — not to add to your anxiety about food.
Two scoring lanes
Every product is scored through two independent lanes, each on a 0–100 scale:
Nutrition profile
Starts at 100 and applies penalties or bonuses based on added sugars, sodium, saturated fat, calorie density, fiber, and protein. Thresholds are stepped — small amounts of a nutrient produce small effects, and large amounts produce larger effects.
Ingredient concern
Starts at 100 and applies penalties when ingredients match topics in our curated concern library. Each penalty is calculated as: base concern × exposure factor × confidence factor. The total penalty is capped at 60 points. We do not double-penalize sugar if the nutrition profile already captures it, do not over-penalize natural flavors, and do not treat seed oils or 'processed' as inherently harmful.
Evidence strength and confidence
Each concern topic is tagged with an evidence strength (strong, moderate, limited, weak, or unclear). This is mapped to a confidence factor that scales the penalty:
- Strong evidence: full weight (1.0)
- Moderate evidence: 0.9
- Limited evidence: 0.75
- Weak or unclear evidence: 0.6
This means ingredients with weaker evidence carry proportionally less penalty. We do not treat every flagged ingredient as equally concerning.
Claim inflation
Many ingredients attract online attention that outpaces the underlying research. We tag each concern topic with a claim-inflation level (low, medium, high, or very high) to help you calibrate what you read online against what the evidence actually shows.
Claim inflation does not mean a concern is fake. It means the gap between popular discourse and scientific consensus is large. Some of the most-feared ingredients (like seed oils or MSG) have some of the highest claim inflation.
How we think about food concerns
These principles guide every score, label, and explanation in the app:
- Hazard is not the same as risk. A product can contain a debated ingredient without creating meaningful risk in normal use. Risk depends on exposure, context, and the person.
- A pattern is not proof. Correlation is not causation. We encourage looking for mechanism, timing, consistency, and human evidence — not just trends.
- Uncertainty is not a verdict. "Not fully settled" does not mean "therefore dangerous." We use weight-of-evidence framing, not worst-case assumptions.
- Exposure matters more than label drama. What matters is not just what is present, but how much reaches the body, how often, and in whom.
- One serving is different from a daily pattern. Repeated intake and stacked exposure across products can matter more than one item.
- Some people may care more than others. Children, pregnancy, GI sensitivity, asthma or allergy history, migraines, autoimmune conditions, medication use, and heavy supplement use can change what is worth paying attention to.
Why we show the most useful information first
When you scan a product, you should be able to understand the result within a few seconds — not minutes. We designed the product page with layered disclosure: the most important takeaways appear at the top, and deeper details are tucked behind expandable sections.
The default view answers three questions: What matters most? How much should I care? What is the sane next step? Everything else — nutrition breakdowns, ingredient-by-ingredient details, evidence comparisons, source links — is one tap away for anyone who wants it, but it never competes with the core message.
This is intentional. Most food-analysis tools overwhelm you with data. We believe interpretation should come before justification, and that tapping to see more should feel like permission — not obligation.
Why we use plain-language labels plus spectrum bars
Numbers alone do not tell you what to do. A score of 62 means very little until you know whether that is strong, mixed, or weak. We lead with a plain-language band label (like "Solid" or "Meaningful") and show the numeric score as a secondary detail.
The horizontal spectrum bar reinforces orientation without alarming you. Each bar uses opposing endpoint labels — like "Less supportive for regular use" vs. "More supportive for regular use" — so you always know what direction means.
Why we separate concern from real-world risk
An ingredient can be debated without creating meaningful risk for most people. Concern is about the conversation; risk is about the evidence, the amount, the frequency, and the person. We surface both, but keep them distinct so you can tell the difference.
The exposure pattern badge on each product tells you whether a concern is mainly about frequency, sensitivity, cumulative stacking, or nutrition — not just that the ingredient exists.
Pattern-based interpretation
A single product tells you less than your pattern across the week. We tag each concern with an exposure pattern to help you understand whether the concern is:
- Mainly about frequent or daily use
- More relevant when stacked across multiple products
- Driven by individual sensitivity
- Primarily a nutrition issue (not an ingredient issue)
- A rare concern that most people do not need to prioritize
This helps you think in terms of habits and patterns, not ingredient panic about individual products.
Why we avoid panic language
This app is designed to reduce confusion, not amplify it. It does not use fear-based framing, purity language, or activist messaging. It does not treat every debated ingredient as a crisis or push you toward elimination before you have thought through the basics.
If a concern is weak, we say so. If online discourse has outpaced the evidence, we flag that too. The goal is to help you spend less time worrying about low-priority ingredients and more time making practical decisions based on your actual habits and context.
Why we avoid vague dose language
You may notice this app does not use phrases like "dose-dependent" or "well-characterized effect." Those terms are technically accurate but not practically useful. They do not help you make a decision.
Instead, we try to answer practical questions:
- How much matters?
- How often matters?
- For whom might this matter more?
- Is this about one product or a repeated pattern?
- What is a reasonable next step without panic?
We believe people dealing with vague symptoms, chronic frustration, and expensive trial-and-error deserve answers that are useful, not just technically precise.
Concern lenses, not diagnoses
Instead of using wellness labels like "leaky gut" or "detox overload," we translate concerns into tighter evidence domains called concern lenses. These include terms like "intestinal barrier debate" or "microbiome debate" — reflecting that these are active areas of research, not settled diagnoses.
We do not dismiss wellness concerns. We take them seriously enough to translate them into the language the evidence actually uses. This helps you separate legitimate research questions from marketing language.
What this app does not do
- Does not diagnose conditions
- Does not tell you to eliminate foods based on one ingredient alone
- Does not treat ingredient presence as proof of harm
- Does not use fear language or purity language
- Does not present any wellness concept as a settled medical diagnosis
Summary labels
Each product receives one of six summary labels based on both lane scores and issue profile:
- Better everyday option
- Fine occasionally
- Nutrition is the main issue
- Ingredient debate is stronger than evidence
- Mixed picture
- Context matters
We never call a product safe, unsafe, healthy, unhealthy, clean, dirty, or toxic.
Disclaimer
This app provides educational information about packaged foods based on labels, public data, and curated ingredient notes. It does not provide medical advice, diagnosis, or treatment advice.
