Frequently Asked Questions

Tracking is anchored to your baseline record. After you enroll, you submit a baseline that includes weight, waist circumference, demographic band, activity level, and optional laboratory values. Every follow-up is compared back to that anchored baseline.

The cadence is intentionally light: a weekly check-in for weight and a few self-reported scores, a monthly check-in for waist and body-composition values, and an optional laboratory or wearable upload every 8–12 weeks. Each entry records its source (self-report, device, lab document) so the analysis can weight it appropriately.

The core required measurements are weekly weight and monthly waist circumference. We also ask for short self-reported scores for appetite, energy, sleep quality, and sleep duration.

Optional submissions include body-composition percentage, blood pressure, laboratory values such as HbA1c or fasting glucose, and wearable summaries. The more source-verified data you provide, the stronger the analytical value of your contribution.

For weight, use the same scale, at the same time of day, under similar conditions each week. For waist, measure at the navel, relaxed, using the same tape each month. Consistency matters more than precision to the nearest decimal.

These simple rules reduce noise and make the aggregate curves more reliable. We surface the technique in the contributor dashboard onboarding so it is easy to repeat.

Your anchored baseline is the first complete record you submit after enrollment. All later values are expressed as a change from that baseline, not as a comparison to other people.

For example, if your baseline weight is 200 lb and you later record 190 lb, the registry stores a −5% change from your anchored baseline. This lets the public charts show mean trajectories while keeping individual starting points private.

Registry measurements are stored with a contributor identifier that is separate from your account identity. Before any public display, data is aggregated and de-identified so that individual contributors cannot reasonably be identified.

We use encrypted connections, role-based access controls for administrative functions, and row-level security policies that limit who can read which rows. Your personal dashboard shows only your own data.

Read the full Privacy Policy for details.

No. The public Data Explorer and cohort pages display only aggregated values such as means, counts, and percentages. Individual records, names, email addresses, and raw data points are never shown publicly.

Even within the registry, researchers work with de-identified datasets. Your account identity is only used for authentication and to populate your private dashboard.