What "drift" actually means in a live data stream
A practical definition you can measure — and why fixed thresholds keep missing it.
This is placeholder body copy so you can see the reading view typeset in the ae system. Swap it for your real article — the measure, leading and rhythm are already tuned for long-form reading. [placeholder]
The point of the piece sits here: a short, opinionated take on the problem, why the obvious approach falls short, and what changed once you looked at it differently. Keep paragraphs tight and let the idea carry the weight.
Sub-points and detail live under headings like this. Code, charts or pull-quotes can be dropped in as figure blocks using the same placeholder treatment shown above.
Close on the takeaway — what you'd want a reader to remember a week later. [placeholder — replace this whole body.]
A section heading
Sub-points and detail live under headings like this. Code, charts or pull-quotes can be dropped in as figure blocks.
This finally gave me language for something I kept hitting in production — fixed thresholds drift right along with the data. The windowed definition is the bit I was missing.
Exactly — once you measure against a rolling baseline instead of an absolute one, most of the false pages disappear. I'll expand on the baseline tuning in the next piece.