What three months of your own data actually shows

What three months of your own data actually shows

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A single entry tells you almost nothing. A quarter of entries read together tells you several things, and most people never look, because the log feels like something you write rather than something you read.

The first thing it shows is the true shape of your schedule. Not the schedule you believe you are on, the one you have actually been running, including the weeks that slipped and the ones that got compressed to fit around something else.

The second is where your dose actually sat over time. People consistently overestimate how long they have been at a current dose, because the last change feels recent and the calendar disagrees.

The third is whether your side effect pattern is stable, improving, or reappearing at each step. This one requires the notes to have been recorded against days-since-dose rather than against calendar dates, which is worth setting up early.

The fourth is supply behaviour: how long a vial really lasts you, and how far your reorder point sits from your run-out point in practice rather than in theory.

None of these require analysis in any serious sense. They require the data to be in one consistent series, which is most of the argument for keeping it in a Peptide Tracker & Calculator rather than in whatever place seemed convenient on the day.

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