Individual skill

phack-taxonomy

Name and classify p-hacking strategies, and quantify what each one does to the false-positive rate. Covers the twelve-strategy compendium of Stefan and Schoenbrodt (2023), thirteen econometrics-specific degrees of freedom (clustering doctrine, fixed-effect structure, RDD bandwidth, kernel and inference mode, IV instrument sets and first-stage screening, staggered-DiD estimator and comparison-group choice, synthetic-control donor pools), the search procedures that turn a strategy into a session, and the two between-stage strategies of Adda, Decker and Ottaviani (2020): selective continuation from a pilot to a confirmatory study, which is not p-hacking until the pilot is pooled, and selective reporting between stages. Use when asked what p-hacking is, which strategy a particular analytical choice corresponds to, how much a given researcher degree of freedom inflates type I error, or to enumerate the ways a specific result could have been obtained.

skills/73-brycewang-p-hacking-skills/skills/01-phack-taxonomy/SKILL.md

Source commit 8684584e7d1127940f018157d2c579974fae8f79

What was checked

Matches the observed repository HEAD

Yes

Scanner rules are current

Yes

Repository scan complete

No

Skill scan complete

No

Observed behavior

Network or broad shell

Last checked

Nov 10, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.