The biggest single thing wrong with most consumer biometric apps is that they compare your readings against a population average. That's the wrong reference class.

A "normal" resting heart rate is 60 to 100 bpm. That's a clinical range covering most healthy adults. For you, the actual range is much tighter (probably a 10 to 15 bpm window), and it shifts dramatically based on context. Time of day. What you've eaten. Whether you've moved. Whether you've had caffeine.

Comparing your live heart rate against "60 to 100" tells you nothing useful. Comparing it against your typical afternoon-sedentary-post-caffeine baseline is a different thing entirely. That's actionable.

So Verge keeps separate baselines for every combination of:

Time of day (5 buckets).
Activity state (5 buckets, sedentary through workout).
Recent context (4 buckets: none, post-meal, post-caffeine, post-nicotine).

That's 100 possible buckets. Most users only ever fill 20 to 30 of them in everyday life. Each one accumulates samples over time, weighted to favour recent data, so the baseline tracks fitness and lifestyle changes without abrupt jumps.

The result. When Verge tells you "your HR is elevated +1.8σ above your usual afternoon-post-coffee baseline," that's a statement with meaning. Versus a generic "stress alert" that fires whenever your HR crosses a population threshold that has nothing to do with how you actually function.

More on the technical side of this as the beta progresses. For now: this is why the app takes a couple of weeks to settle into your real patterns. It's learning your fingerprint across all the contexts you live in.