Syllabus Lesson 33 of 141 · Felt fast, was slow
Felt fast, was slow

Your calibration

Why it matters This is your own version of the study: your guess against your clock, with and without the tutor.

This lesson reads three things this browser kept: your predicted dict from Predict your time, and how long each timed problem took. Nothing leaves your device.

from creative import context, exam
context.value_in("c-felt-fast-was-slow/predict-your-time", "predicted")   # your guess, read back
context.minutes("c-felt-fast-was-slow/timed-problem-a")                     # minutes, or None
exam.calibration(predicted, actual)             # 0.25 = off by a quarter on average

What the clock really measures

Be honest about the clock before you trust the number. It runs from the moment you first opened the lesson to the moment you first passed it. A coffee break counts. Leaving the tab open overnight counts. Reading the problem on Monday and solving it on Tuesday counts as a day. It does not know whether you were thinking or away. So a wild number may say more about your evening than about the tutor.

With only two problems, this is a single small sample. It cannot prove that the tutor made you faster or slower. What it can show is whether your sense of time was close, and which way you leaned.

Recap Guess against clock, read honestly: open to first pass, breaks included, two problems only.

Your turn

Read your prediction with context.value_in and the measured minutes for both timed problems with context.minutes (the tests tell you which lesson to do first if something is missing). Write gaps(predicted, actual): a dict of actual - predicted, rounded to 1 place, for the lessons in both that have a recorded time (skip None). Set calibration = exam.calibration(predicted, actual) and print it. Set actually_faster to "a", "b" or "same" from the measured minutes, and print it next to the faster you guessed.

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