§27's purpose is one sentence — show the user what the app has learned — which
means the screen has to be honest about how little that sometimes is. Every
figure is absent rather than approximated below the history that supports it,
because the easiest way to overstate accuracy is to average two numbers and
print a decimal place.
- one interval is an anecdote, not an average: no "average cycle" until two
- accuracy figures wait for three scored forecasts, and say why they are
waiting rather than showing a mean of one
- §27's learning copy is chosen by what the data supports, never by mood.
"Personalized to your cycle" is a claim, and it appears only when there are
enough confirmed cycles for the forecast to genuinely be hers
A BUG THE OUTLIER TEST CAUGHT
The typical-range quartiles were indexed off `size` instead of `size - 1`, which
on an even-length list puts the upper index on the largest value. A history of
29, 28, 30, 29, 61, 29 reported a "typical range" of 29–61 — describing a
regular cycle as wildly erratic, on the one screen whose whole job is to say
what has been learned about her. Now 29–30.
Nothing on this screen leaves the device. §46 names prediction_error= among the
values that must never become an analytics event, and this is exactly the screen
that would tempt somebody to send one. There is no network call in these files
and there must never be.
153 tests, all passing. ./gradlew check green.
closes#20
19edf4c920