How many users have you analyzed with my age and sex?

Cardiogram's risk scoring algorithm does not rely on direct comparisons within narrow demographic groups (like exact age or sex). Instead, it learns from broad patterns across many users to detect trends in heart rate, activity, and other signals.

🧠 How our data model works

Our algorithm is trained on tens of thousands of self-reported health profiles across a wide range of ages and sexes. While we don’t provide exact breakdowns by demographic, each age and sex group typically includes hundreds to thousands of users contributing to the insights we display.

Rather than comparing you to a small peer group, Cardiogram uses machine learning to find signals that apply across demographics — helping identify early risk indicators regardless of age or gender.

📬 Have more questions?

If you’re curious about how your data contributes to your Report Card or how the algorithm works, email us at [email protected] — we’re happy to explain further.