Understanding your data

Most trackers hide their math. Ours doesn't. Each page in this section explains what's happening behind a number you see in the app — so you can trust what you're looking at and decide whether the assumptions match your situation.

The science

How the app models compound kinetics and your body's response to them.

• How half-life curves work — the math behind every dose curve.
• How stacked doses combine — what happens when multiple compounds overlap.
• Endogenous biomarker simulation — predicting hormones and biomarkers from your logs.

The math

Where the rest of the app's numbers come from.

• Rolling 7-day budget — calorie math that handles missed days.
• Tracked vs untracked days — the gap-aware disposition system.
• Nutrition score — what the 0–100 score actually weighs.
• Trend line & ETA — regression, projection, and uncertainty.
• Pattern insights — how correlations and findings are surfaced.

When to read these

You don't have to. The app works fine without ever opening this section.

But if any of these apply, the explainers will help:

• A number on the dashboard surprised you.
• You want to know whether the AI assistant is making things up.
• You're sharing data with a doctor or coach who'll question methodology.
• You're a builder, researcher, or quantified-self regular and need to know the priors.