Field Notes

Notes from the engine.

Working notes on causal inference, honest measurement, and building coaching agents that don't bluff. Written the way we'd explain it to a coach — exact, and no longer than it needs to be.

1 published 6 in the queue No newsletter theatre Measured, not marketed
Latest note
Method
PublishedJune 11, 2026
Reading time4 minutes
In one lineAverage effects lie.

The same load that built them last week is breaking them this week.

An average effect hides the one thing a coach most needs: the condition under which it flips its sign. A field guide to effect modifiers — and the threshold where more stops helping.

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The queueDrafting in order
PrimerForthcoming

Correlation isn't a coaching decision

Stack enough signals and something always lines up. How to tell a real effect from a coincidence wearing a trend line.

Est. 6 minJun 2026
MethodForthcoming

Why “insufficient” is an answer, not an error

Most tools render a verdict on three data points as confidently as on three hundred. The case for withholding one.

Est. 5 minJun 2026
AI coachingForthcoming

Giving an agent permission: reading the license ladder

DECLINE through ACT. What each rung authorises, and why the estimate — not the prompt — should set the ceiling.

Est. 7 minJul 2026
PrimerForthcoming

On average, about no one: the case for within-athlete

Population studies describe a cohort your athlete may not resemble. Why the answer has to come from their own history.

Est. 6 minJul 2026
PrimerForthcoming

How to read a confidence interval like a coach

A wide interval is a quiet way of saying “not sure yet.” Turning a range into a training decision — or a pass.

Est. 5 minJul 2026
MethodForthcoming

What survives refutation checks

How placebo shifts, uncertainty, and evidence gates separate a finding from a flattering fit.

Est. 6 minAug 2026

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