A rank promise of ±2% at q = 0.99 on log-normal, σ = 1.2 — a latency distribution
A rank promise of ±2% at q = 0.99 on log-normal, σ = 1.2 — a latency distribution
The curve is the empirical distribution of 20,000 values: the horizontal axis is the value, logarithmic and the vertical axis is the fraction of the stream at or below it. A promise about the RANK is the shaded horizontal band, whose height is fixed at ±2% wherever it is drawn. What it permits in the ANSWER is the vertical band it cuts from the curve, and that runs from 187 to 2,170 — a range of 623% of the true value at this quantile. The summary answered 2,170 against a true 318: a rank error of 1.00%, inside the promise, and a value error of 581.7%, about which the promise says nothing. The two errors are the same number exactly when the distribution is flat, and the gap between them is the slope of this curve.
Drawn at 700 × 420, wide on the page.
Everything above is what rank-against-value returns with no arguments; the caption is the
generator's own, computed from the numbers in the drawing rather than written beside it.
7 essays call
rank-against-value. The drawing above is what it returns with no arguments at all; every
call below passes it something, because a placement that passes nothing draws whichever
member of the family the generator happens to default to rather than the one its essay
argues about — which is what optcheck and figfill exist to catch.
Where it is called
Changing this generator changes every one of these figures.