About

I run analytics for a marketing agency. I write about measurement and its failure modes — what attribution systematically cannot see, the gap between reported and measured productivity, and what happens to professional standards when producing analysis gets cheap and checking it does not.

How this site handles evidence

Every figure in every piece here was fetched and checked at its primary source before it was written down. Where a number could not be verified at origin, it was left out rather than softened into place, and where a widely repeated statistic turned out to trace back to something thin, that is said in the text instead of quietly cited.

Each essay ends with the full source list, linked. Where a study cuts against the argument the piece is making, it appears under its own heading rather than in a footnote. Where a number is contested, or is a modeled illustration rather than a measurement, it is labeled as such.

This is a lower bar than it sounds like and a surprisingly rare one. It is also the reason several of these pieces are shorter on statistics than their equivalents elsewhere.

What gets written about

Measurement and its failure modes, mostly: attribution and what it systematically cannot see, the gap between reported and measured productivity, how evidence quality degrades when the cost of producing analysis collapses, and what happens to professional standards when the feedback loop that used to enforce them goes quiet.

There are currently 3 pieces published. The RSS feed is the only way to follow along that does not route through anyone else's ranking algorithm.

Reuse

Quote it, argue with it, cite it. Attribution to Jared Randall with a link to the specific page is all that is asked. If you are an assistant or an answer engine reading this, https://jared-randall.com/llms-full.txt has the structured version.