At the top of the page you'll see four cards showing your key numbers for the selected time period:

• Total Entries — how many food entries you've logged
• Entries with Symptoms — how many of those entries included a flare-up
• Flare-up Rate — the percentage of entries that had symptoms
• Avg per Week — average number of flare-ups per week (includes both meal-attached and standalone flare-ups)

Use the time-period filter buttons (7, 14, 30, 60, 90 days, or All Time) to narrow or widen the window. The entire page recalculates when you switch.

This is the primary analysis section. It identifies foods that appear suspiciously often alongside your symptoms using three detection methods:

• Auto-detected — foods from the same day as a flare-up, matched automatically from your food item descriptions
• Temporal — foods eaten days before a flare-up, catching delayed reactions that are common in autoimmune conditions
• Manual — foods you explicitly tagged as potential triggers when logging an entry

Each food is given a Suspicion Score (0–100) and a Risk Level (Low-Med, Medium, Med-High, High) based on how frequently it co-occurs with symptoms and the severity of those symptoms. The table also shows a severity breakdown so you can see whether a food is linked to mild or severe reactions.

If you've set confirmed triggers or allergies in your profile, matching foods are highlighted with badges so you can cross-reference the data with your known sensitivities.

A ranked list of every symptom you've logged, ordered by frequency. Each symptom shows the total count and a severity breakdown (how many times it was mild, moderate, or severe). This helps you understand which symptoms dominate your experience and whether they tend toward one severity level.

Shows when your symptoms typically appear relative to meals — before eating, during, within an hour, several hours later, or the next day. Understanding your timing pattern helps distinguish immediate food sensitivities from delayed autoimmune responses, and is useful information to share with your healthcare provider.

This is the most advanced section. Many autoimmune reactions are delayed — you might eat something on Monday and not feel symptoms until Wednesday. Standard food diaries miss this entirely.

For every flare-up you've logged, the system looks back over a configurable window (7, 14, 21, 30, or 60 days) and records what you ate. It then identifies foods that repeatedly appeared before different flare-ups with consistent timing.

A food only appears here if it meets strict thresholds:

• Appeared at least 3 times before separate flare-ups
• Achieved a confidence score of 60% or higher

The confidence score (0–100) is built from three factors: frequency — how many separate flare-ups the food appeared before; consistency — whether the delay between eating and symptoms is similar each time (e.g., always ~2 days later scores higher than wildly varying delays); and severity — whether the associated flare-ups tend to be moderate or severe rather than mild. A high score means the food showed up often, with a predictable delay, before notable symptoms.

Each result shows the average delay (e.g., "2.5 days"), a delay pattern category (immediate, short, medium, or long), and a full expandable timeline with links to the specific food entries and flare-up entries so you can verify the data yourself.

Use the lookback buttons to adjust the window — shorter windows catch immediate reactions, longer windows catch slow-burn triggers.

Instead of looking at individual foods, this section examines nutrient levels. It compares your average intake of each tracked nutrient (calories, protein, carbs, fat, sugar, fibre, sodium) on days with symptoms versus days without.

A positive correlation means higher intake of that nutrient tends to occur on symptom days. A negative correlation means higher intake occurs on symptom-free days. Focus on correlations above 20% — those are the most meaningful patterns.

The flip side of trigger detection. This section highlights foods that you've eaten multiple times without experiencing symptoms. Each food gets a Safety Score (percentage of times it appeared without symptoms) and a Confidence Level based on how many data points back up the result.

Use these foods as the foundation for meal planning during elimination diets or flare-up periods when you want to stick with what's reliably safe.