Garden of forking paths (researcher degrees of freedom / undeclared analysis family)
Stub. Corpus-first: starts minimal, grows only when a real case demands it (
content/meta/guiding-principles.md). The boundary table below is the load-bearing content — this leaf exists mainly to be distinguished from its siblings. Each signature is added only when its primary is read into acontent/research/papers/<id>/note. Frontmatter contract for patterns deferred to repo standup.
Phenomenon (one line): analytic choices — which comparison, which subgroup, which covariates, which exclusions, which transformation, which outcome coding — are made contingent on the observed data, so the reported test is one of many implicit forks that could have been taken. The p-value is computed as if the analysis were pre-specified; it is not, so it lies. (term: Gelman & Loken 2013/2014; “researcher degrees of freedom”: Simmons, Nelson & Simonsohn 2011.)
The load-bearing subtlety (why this is not just “multiple testing”). Error inflates EVEN WHEN
- only a single test is actually run (no fishing, no p-hacking), AND
- the research hypothesis was posited ahead of time
— because under different data a different fork would have been chosen. The multiplicity is latent (the paths not taken), not manifest. This is Gelman & Loken’s central claim and the whole reason the term exists; do not reduce it to “they ran too many tests.”
Boundary — vs the sibling leaves (draw this sharply; they genuinely overlap)
| Leaf | Mechanism | Detector |
|---|---|---|
| garden-of-forking-paths (this) | analysis specification chosen post-hoc; test family undeclared. Latent multiplicity even at N=1 test. | provenance: were the comparisons / subgroups / covariates / exclusions / outcome pre-specified before seeing data? |
| double-dipping | a specific structural circularity: the same data selects a feature then tests it; non-independence under the null | structural: is there a selection step feeding a test on the same data? |
| p-hacking / fishing | manifest multiplicity: many analyses run, the best reported | many tests + selective reporting |
- double-dipping ⊂ forking-paths conceptually (a data-contingent selection is one fork), but it is sharper and structurally detectable, so it earns its own leaf. This leaf is the residual: post-hoc choices that are not a single clean select-then-test — subgroup fishing, covariate/model selection, outcome switching, flexible exclusions.
- forking-paths ≠ p-hacking — the working-paper title says so verbatim (“even when there is no ‘fishing expedition’ or ‘p-hacking’”). p-hacking is manifest multiplicity; forking-paths is latent.
Signatures (each added when its primary is read)
- undeclared-family — a test reported with no pre-specified analysis family (which comparisons /
subgroups were candidates?). [mold scenario:
forking-paths-post-hoc-interaction] - post-hoc subgroup / interaction chosen after seeing which cut “worked.”
- data-contingent covariate / model / transformation / exclusion choices.
- outcome or coding switched to the version that reached significance.
Primary sources to summarize (→ content/research/papers/<id>/)
Sourcing pre-verified in content/research/05-skill-backing-references.md §10 ([VS]).
✓ ingested = note exists at content/research/papers/<slug>/ and wiki-links back here.
- Gelman & Loken 2014, American Scientist 102(6):460 (“The Statistical Crisis in Science”) +
the 2013 Columbia working paper (“The garden of forking paths: Why multiple comparisons can be
a problem, even when there is no ‘fishing expedition’ or ‘p-hacking’ and the research hypothesis was
posited ahead of time”). The definition + the latent-multiplicity mechanism (procedure #3,
T(y; φ(y))); offers no quantitative inflation figure (deferred to future work). →
✓ ingestedgelman-loken-2014 - Simmons, Nelson & Simonsohn 2011, Psychological Science 22(11):1359–1366
(DOI 10.1177/0956797611417632) — coins “researcher degrees of freedom”; quantifies the
inflation Gelman-Loken leaves open (single flexibilities ≈9.5–12.6% at p<.05; all four combined
60.7%); the six-requirement disclosure remedy. →
✓ ingestedsimmons-2011
Remedy (what the referee demands)
- Pre-specification / pre-registration: declare the analysis family (comparisons, subgroups, covariates, exclusions, primary outcome) before seeing the data.
- Report across forks: multiverse analysis / specification-curve (
content/research/04: Steegen & Gelman 2016multiverse; Simonsohn 2020specr). - Disclosure requirements — Simmons et al.’s six author requirements (Table 2: pre-set +
reported stopping rule; ≥20/cell; list all variables; report all conditions incl. failed; report
results with excluded obs included; report results without the covariate). (The compact
“21-word solution” sentence is later work, not in Simmons 2011 — see simmons-2011 §11.)
For subgroups: interaction tests + credibility criteria (Sun et al. 2010,
content/research/05§10 → subgroup-analysis skill).
Adjacent (cross-link — do not absorb)
- double-dipping, batch-aliased-with-condition, method-applicability-errors — sibling audit-method-validity leaves.
[[multiple-testing-strategy]](protocol) — handles manifest multiplicity + correction; forking-paths is the latent case a correction on the reported tests does not cover.