What your model actually is

Most apps hand you a dashboard: a grid of numbers that looks precise and decides nothing. Your Sarenica model is a different object. It is a living map, assembled only from analyses run on your own data, of the relationships your days actually support — late phone use and deep sleep, a cooler room and how you settle, a walk and your afternoon.

Nothing on the map is generic. There is no population average standing in for you. Every line is one your own data earned, and it is labelled honestly as an association in your life — not a universal law, and not a proven cause.

Instead of a single confident verdict, every relationship sits in one of three plain states — the same three, everywhere in the app.

Open any finding and it reads as five short beats rather than a wall of statistics. It notices a pattern in plain words. It shows the real comparison — and where the effect sits on a simple scale from hurts to helps. It says how sure it is, and keeps the quiet line "association, not proof" in view. Then it offers to test the thing properly, and to save the whole result as a signed paper you can keep.

That shape is deliberate. The numbers are there if you want them — one tap down — but the top of every finding is a sentence a person can actually use.

The hardest and most important thing the model does is refuse. Each link starts assumed-zero and has to earn its way up, so one lucky week cannot fake a pattern. When two of your findings disagree, it marks the tension instead of averaging it away. When a finding ages without being re-confirmed, its weight fades.

And with a normal amount of personal data, most real-but-modest effects can never cross the bar to "proven" — so the honest verdict stays "worth a try, keep testing". A model that told you otherwise would be lying to sound helpful. This one would rather be quiet and right.