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Wear-tested, not swatch-tested

What held past hour six?

The forecast on The Edit is a model output. This log is what actually happened. Both stay in this browser. Neither is a medical record, and the forecast index is not a probability.

Today's kit (from the current plan)

  • Performance sport tint
  • Green redness corrector
  • Long-wear cheek stain
  • Brow pencil
  • Pressed powder compact
  • Tinted lip balm

Forecast pancake index across the day 49/100 · Edit pathway · heuristic, not probability. Nothing you have logged yet is moving this number.

Wearing this on a particular day?

One all-day entry, carrying the kit and the hour the model flags first, so you remember to log the day while you still remember the day.

Log today

One tap is enough

The desk can only learn from days you actually record, so recording one costs a tap. 4 more and it starts correcting your forecast. Log the ordinary mornings too — a log of only the disasters teaches it that every day is a disaster.

Your wear days

Nothing logged yet. Wear the kit for a day, then tap one of the two buttons above — that is the whole ritual, and it is what the forecast learns from.

Watch the hand · 4 referencesWhat holding past hour six actually takes.

The wear log tells you when your film fails. These show the two levers that change that number — prep and maintenance timing — before a purchase is on the table.

Your desk, as a file

Everything the desk knows about you lives in this browser and nowhere else — no account, no sync, nothing on a server. That is the privacy guarantee and it is also the risk: clearing site data takes all of it. This is the way to keep a copy.

0 of 400 logged days held.

The export carries your profile, saved sets, wear log, shelf, practice ladder, scanned routine, notes and experiments. Restoring replaces what is in this browser rather than merging — two desks cannot be reconciled without the desk inventing rules about which logged day wins, and it would rather ask you than invent one.

Contextual finding intelligence

The finding should tell you what to look at next.

Each panel ties the current desk context to a measurement procedure, one-variable test, explanatory plate, worked case and source trail. It is a decision aid, not a diagnosis.

audited baked fallback

catalog 2026-09-13-baked

Why this is here now

Track first failure, not only the final face.

The current brief asks for about 10 hours on face. A first-failure timestamp will make the next forecast more useful than an end-of-day memory alone.

Wear timeline and first failureA horizontal timeline marks application, observation checkpoints, first visible failure and maintenance so the user can distinguish model forecast from observed wear.0h2h4h6h8h10hFIRST VISIBLE CHANGEMAINTENANCELOG ZONE · FAILURE TYPE · HOUR · WHAT HAPPENED BEFORE IT
Explanatory plate, not a measurement. The measurement procedure is listed beside it.

Measure this

At consistent checkpoints, record hour, exact zone, failure type and whether maintenance already happened. Include days when nothing fails.

Smallest useful test

Blot once at a consistent hour and log the first visible change before and after.

Decision matrix

Wear: separate maintenance timing from product blame

Keep constant
Keep the kit and application amount stable on a comparable day.
Change
Blot once at a consistent hour and log the first visible change before and after.
A useful result supports
A repeatable improvement supports maintenance timing as a useful lever under similar conditions.
It cannot establish
It cannot prove a product causes oil production or predict an exact failure probability.

Closest worked case

Humid outdoor event + long wear

You need a long day outdoors and the base tends to move before the event is over.

Worked-case outcome reading
If betterIf sameIf worse
A repeatable improvement supports a maintenance/film-load lever for similar days.The environment may be secondary; inspect actual failure location and interface.If movement appears earlier, the changed layer amount may have reduced grip; restore only that variable.

Next · Log the hour and failure type so the next forecast can calibrate to your own observations.

Prefills hypothesis, constants and the one variable to change. Saved locally only.

Sources for this finding