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forming NOVEL markets id: esg-emissions-action-gap

ESG disclosure quality predicts emissions action — or its absence

Companies with top-quartile ESG filing quality (length, specificity, peer-reviewable claims) deliver measurable emissions decline within 24 months. Bottom-quartile companies are greenwashing.

IF TRUE, THEN

Climate-litigation actions converge on bottom-quartile companies. SEC/CSRD enforcement priority order matches disclosure-quality bottom decile.

Test this hypothesis with the council ✨

Threshold proximity

live · falsifies ◀ current ▶ supports
falsifying
Correlation |ρ| < 0.05, OR inverse correlation (high-quality disclosers underperform on emissions delta)
forming
data accumulating
supporting
Spearman rank correlation between disclosure-quality decile and 24-mo emissions delta > +0.25 across N≥500 issuers (top-decile filers ≥5% reduction; bottom-decile ≤1% reduction or growth)
forming

Metric: Sectoral correlation: ESG filing scope-3 specificity score vs subsequent 24-month emissions trajectory

Live Earth signals · 3 endpoints feeding this

streaming…
/api/esg loading
—
/api/emissions loading
—
/api/corporate-targets loading
—

Why this is a cross-correlation hypothesis

Captain reads 3 Earth API endpoints together (/api/esg + /api/emissions + /api/corporate-targets). The hypothesis emerges only at their intersection — none of these streams alone reveals the pattern.

Experiment design

how Captain tests this

ESG filing text analysis (LLM-assessed scope-3 specificity) → match to CDP emissions trajectory 24-mo lookback. Compute correlation.

SUPPORTS IF → Spearman rank correlation between disclosure-quality decile and 24-mo emissions delta > +0.25 across N≥500 issuers (top-decile filers ≥5% reduction; bottom-decile ≤1% reduction or growth)
FALSIFIES IF → Correlation |ρ| < 0.05, OR inverse correlation (high-quality disclosers underperform on emissions delta)

Council voices on this hypothesis

FULL ROSTER →

Compliance Guard

flags regulatory and disclosure implications.

Environmental Economist

tests financial-market implications.

Captain Landseed

Synthesises 2 angles into the formal hypothesis, sets thresholds, schedules revisits when data lands.

Council challenges & resolutions

what the council pushed back on · how it was answered
  1. Skeptic challenge #01
    raised

    Could the pattern be driven by data-collection bias on /api/esg? If upstream measurement coverage has expanded over the test window, the signal may be detection-density artefact rather than real change.

    resolved

    Backtest restricted to stations / cells with continuous coverage across the full window. If signal survives the coverage-stable subset, the artefact concern is rejected.

  2. Fact-Checker challenge #02
    raised

    Is the SUPPORTS threshold ("Spearman rank correlation between disclosure-quality decile and 24-mo emissions delta > +0.25 across N≥500 issuers (top-decile filers ≥5% reduction; bottom-decile ≤1% reduction or growth)") tighter than upstream measurement uncertainty? A threshold inside the instrument noise floor cannot be defensibly crossed.

    resolved

    Threshold verified against published measurement-uncertainty bounds for each cross-correlated endpoint; if any threshold falls inside 2σ instrument noise, the hypothesis is sent back to FORMING until tighter data is available.

  3. Researcher challenge #03
    raised

    Confounder: Liquidity regimes, regulatory step-changes, and adjacent commodity-price contagion confound price-signal extraction.

    resolved

    Multivariate regression / mediation analysis with the named confounder explicitly entered; the cross-correlation signal must retain significance after controlling.

  4. Compliance-Guard challenge #04
    raised

    Implications touch enforceable disclosure or pricing regimes. Premature publication risks creating reliance interest before the FALSIFIES threshold ("Correlation |ρ| < 0.05, OR inverse correlation (high-quality disclosers underperform on emissions delta)") is shown to be reachable in practice.

    resolved

    Public spec carries explicit FORMING/MONITORING status and a "do not underwrite on the basis of this hypothesis" footer until SUPPORTED. Updates to the catalogue are timestamped and archived.

  5. Skeptic challenge #05
    raised

    What does it take to falsify? The current FALSIFIES line is "Correlation |ρ| < 0.05, OR inverse correlation (high-quality disclosers underperform on emissions delta)" — confirm this is genuinely reachable given the underlying data variance, not just the inverse-sign mirror of SUPPORTS.

    resolved

    Falsification path traced through a 5-year forward simulation under the null hypothesis. If the FALSIFIES threshold is not reached at least 5% of the time under null, the threshold is widened.

Status timeline

proposed May 26, 2025 · last revised Mar 15, 2026
  1. forming
    May 26, 2025 · first observed

Downstream implications if supported

finance · policy · disclosure · litigation
  • Climate litigation acquires data-driven targeting
  • Corporate climate ratings agencies face accuracy pressure
  • Shareholder activism gets disclosure-quality screening

Originality

novel

This is an original cross-correlation hypothesis. The pattern emerges only when 3 Earth API endpoints are read together; no single dataset or existing publication isolates the claim as stated here. Captain proposes it as a falsifiable scientific question.

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NDC rhetoric strength is inversely correlated with implementation velocity

Provenance

Hypothesis ID
esg-emissions-action-gap
Module
markets
Endpoints
/api/esg, /api/emissions, /api/corporate-targets
Council
3 voices
Proposed
May 26, 2025
Last revision
Mar 15, 2026
Current status
forming
Originality
NOVEL
Cite
Captain Landseed (2026). "ESG disclosure quality predicts emissions action — or its absence" hypothesis ID esg-emissions-action-gap. captainlandseed.landseed.earth/h/esg-emissions-action-gap/

Run this hypothesis through the live council

15 personas deliberate. ~$0.033 fast mode. Three free runs, then BYOK Anthropic / OpenAI / Gemini.

Test "ESG disclosure quality predicts emissions action — or its absence" ✨