Composite signal frequency is a planetary-state-shift proxy

Five independent claude-sonnet-4-6 calls, one per persona — Skeptic, Fact-Checker, Researcher, Compliance-Guard, Falsification-Auditor. Each writes its hardest objection from its own seat, paired with the methodological resolution it would accept. Run on the static catalogue spec Jun 3, 2026; a live council for any topic is at /try.

1. Skeptic #01
   Raised

   The observed co-elevation of /api/signals warnings and CEMS/GDACS counts is most plausibly explained by shared-stimulus confounding rather than a latent planetary regime shift. Each major episodic event — a Category 4+ tropical cyclone, an Mw ≥ 7.0 earthquake, or a multi-basin wildfire outbreak — simultaneously triggers GDACS alerts, CEMS emergency activations, and drives Earth-observation monitoring modules to issue warnings/criticals across affected sensor networks, producing apparent trivariate correlation with no causal "regime change" as the mediating variable. The 14-day sustained elevation threshold is consistent with multi-week disaster response cycles (extended flood inundation, aftershock sequences, smoke-aerosol persistence) rather than a persistent background-state transition. Under this confound, Pearson r ≥ 0.5 across the three streams is trivially achievable whenever a large-magnitude event cluster dominates any rolling 12-month window.

   Resolved

   Partition the full GDACS XML event archive (gdacs.org/gdacsapi/, 2000–present) into sudden-onset events (peak duration < 72 h: earthquake, tsunami, volcanic) versus slow-onset events (ramp duration > 7 days: drought, flood inundation, heat wave) and enter the sudden-onset daily count as an exogenous covariate in a Vector Autoregression (VAR) model fit to the three-way time series at lag orders 1–30 days (AIC-selected). Apply a Granger causality Wald test: if the /api/signals fraction Granger-causes CEMS activations at p < 0.05 with F-statistic ≥ 3.0 *after* partialling out the sudden-onset regressor, the regime-shift interpretation survives; if the Granger coefficient collapses to non-significance once sudden-onset events enter the model, the trivariate correlation is attributable to shared episodic forcing and the hypothesis is falsified regardless of threshold breach frequency.

2. Fact-Checker #02
   Raised

   The `/api/signals` endpoint is a black-box composite of unspecified modules whose underlying instrument noise budgets are never enumerated, making the 2σ seasonal envelope and the 0.40 fraction threshold unverifiable: if any contributing module is, say, a TROPOMI column retrieval (single-sounding noise ~1–5 ppb CH₄, with a known ~3–5% striping systematic), its variance inflates the composite differently than an administrative flag or a model-derived index, and summing heterogeneous error distributions produces a composite whose tails are non-Gaussian, meaning the 95th-percentile and 2σ thresholds are not interchangeable and could diverge by >10 percentile units for skewed series. Separately, the CEMS activation count baseline (2014–2023) is non-stationary: annual CEMS activations roughly tripled over that decade (from ~30–40 in 2014 to >120 in 2022–2023), so the 75th percentile of the pooled 10-year distribution is biased downward relative to any recent window, rendering the confirmatory threshold too easy to exceed spuriously. GDACS event scores carry ±0.3–0.5 scoring-unit uncertainty (propagated from USGS/EMSC magnitude errors ≈±0.2 and JRC flood-extent uncertainty ≈±25–30%), meaning orange/red event counts near classification boundaries can shift by ±2–3 events per 7-day window without any real-world change.

   Resolved

   First, the module registry for `/api/signals` must be audited and each module assigned a per-instrument uncertainty weight (citing the relevant retrieval algorithm version and 1σ noise floor, e.g., TROPOMI RPRO v2.4.0 or Sentinel-1 GRD calibration accuracy ±0.5 dB); the composite fraction threshold of 0.40 should then be recalibrated as a weighted sum with propagated uncertainties, and a revised threshold band (e.g., 0.40 ± δ_composite) should replace the single-valued cutoff. For CEMS, fit a log-linear trend to the 2014–2023 annual activation counts, remove it, and compute the 75th percentile on detrended residuals so the confirmatory threshold is trend-neutral; apply the CEMS EMSR quality flag (exclude "monitoring" activations, retain only "rapid mapping" and "risk and recovery" types) to reduce administrative noise. For the cross-correlation, replace the unadjusted Pearson r ≥ 0.5 with a block-bootstrap 95% CI on Spearman ρ using a block length equal to the autocorrelation decay length of the rolling 7-day mean (typically 10–21 days), so the effective degrees of freedom are correctly deflated and the confirmatory r threshold accounts for serial dependence.

3. Researcher #03
   Raised

   The principal uncontrolled confounder is ENSO phase. El Niño and La Niña events simultaneously elevate global hazard frequency—mechanically inflating /api/gdacs counts and /api/cems activation rates—while also increasing the volume of anomalous Earth-observation retrievals that propagate into /api/signals warning and critical flags, producing a shared upstream driver that will satisfy the Pearson r ≥ 0.5 threshold across all three streams without the composite signal carrying any independent regime-shift information. Because re/insurance catastrophe models are already explicitly conditioned on ENSO state at 6–12 month lead times, the downstream insurance-revision prediction is indistinguishable from a standard ENSO-conditional forecast, rendering the composite signal's apparent predictive skill spurious.

   Resolved

   Partial out ENSO by regressing each of the three API time series on NOAA's Multivariate ENSO Index v2 (MEI v2; available at NOAA PSL, https://psl.noaa.gov/enso/mei/) at lags 0, 1, and 2 months, then conduct all rolling cross-correlation and threshold-breach analyses on the OLS residuals. As a pre-registered robustness check, restrict the breach-period validation to ENSO-neutral windows defined by ONI ∈ [−0.5, +0.5]°C (NOAA CPC monthly ONI table); if the Pearson r ≥ 0.5 criterion and ≥14-day sustained exceedances fail to replicate within neutral-phase subsamples, the hypothesis is falsified as an independent proxy and the signal should be reclassified as an ENSO co-indicator.

4. Compliance-Guard #04
   Raised

   The PREDICTS clause — asserting that a sustained composite-signal elevation precedes insurance-industry catastrophe-model upward revision within six months — creates a forward-looking causal assertion that, if cited as established before the SUPPORTS threshold is formally crossed, directly implicates SEC Rule 10b-5 (17 CFR § 240.10b-5) where material misrepresentation of climate-risk indicators in investor-facing disclosures is at issue, and the SEC's finalized climate disclosure rules (Release No. 33-11275, 17 CFR Part 229 Item 1502) requiring that material physical-risk metrics be supportable. Simultaneously, any use of this unvalidated composite signal to adjust catastrophe models feeding insurance rate filings or reinsurance pricing would conflict with the NAIC Catastrophe Model Governance Framework and, for EU entities, Solvency II Article 121's "use test," which requires that internal models driving regulatory capital calculations be independently validated before operational deployment.

   Resolved

   The signal must not be cited in any SEC climate disclosure, actuarial opinion, NAIC rate filing, or Solvency II internal-model validation document until all three branches of the SUPPORTS threshold are concurrently satisfied and documented: composite-signal fraction exceeding 0.40 for ≥14 consecutive days outside the seasonal envelope, CEMS activation counts above the 75th-percentile benchmark in the same window, and Pearson r ≥ 0.5 across all three API streams over a full 12-month retrospective window. Any interim reference to the hypothesis in research or advisory material must carry an explicit disclaimer stating that the FALSIFIES condition — composite elevation without CEMS/GDACS confirmation in more than 50% of breach periods — has not yet been ruled out, and that the PREDICTS clause constitutes a testable prediction, not an established causal relationship, until independent peer review and formal adoption by a recognized earth-observation or actuarial standards body are complete.

5. Falsification-Auditor #05
   Raised

   The principal threat to falsifiability is that Earth-monitoring API stacks routinely produce correlated false-alarm bursts from purely technical causes — maintenance windows, module-count changes, ingestion pipeline failures, and version rollouts — which can easily elevate the composite-signal fraction above 2σ without any real-world geophysical event. Empirical false-alarm rates for composite API health monitors in operational Earth-observation systems typically run 30–60% even after careful calibration, meaning the null baseline may already sit at or above the 50% false-positive rate that constitutes FALSIFIES. Compounding this, the expected number of independent breach periods in a 12-month window under a 2σ threshold is only ≈2–5 events (by definition of the exceedance probability), so the binomial confidence interval on the false-positive proportion with n = 5 spans roughly [0.19, 0.81] — wide enough that the >50% FALSIFIES band is entered by sampling noise alone, making the criterion uninformative about the actual hypothesis.

   Resolved

   Run a 10,000-iteration Monte Carlo under the null by drawing composite-signal time series from a fitted seasonal AR(2) model (preserving autocorrelation and week-of-year variance, σ ≈ empirically estimated from the 5-year archive), while independently resampling CEMS and GDACS counts from their 2014–2023 empirical marginals with no imposed cross-correlation; record the false-positive proportion across all breach periods in each synthetic year to build the null distribution of that statistic. If the 95th percentile of the null false-positive proportion already exceeds 50%, expand the FALSIFIES criterion to require that the observed proportion falls above the 97.5th percentile of the null (i.e., a one-sided p < 0.025 test on the false-positive rate), and simultaneously add a direct-validation arm requiring that infrastructure-flagged outage days are excluded from breach counting before the proportion is computed, so that purely technical elevation events are censored before the cross-validation step.

Unlike the static stress tests above (synthesised against the frozen catalogue spec), this is what a 3-voice council found in the most recent biweekly review. Refreshed on the 1st and 15th of each month at 09:00 UTC. Each voice runs one bounded web search via Anthropic's web_search_20260209 tool, cites what it finds, and recommends a verdict. The verdict diverges from the curated catalogue status (monitoring) — the synthesis below explains why.

Agent draft incorporating the 9 cited findings from the live council above. Not auto-merged — surfaces here for human review. To accept, open a PR editing site/src/_data/hypotheses.json with the revised fields below. To reject, ignore and the proposal will refresh on the next council run.

1. monitoring

   May 30, 2026 · added to catalogue at status "monitoring"

• Moody's RMS catastrophe-model team issues an unscheduled aggregate annual loss revision of 12–20% upward for North American wildfire and compound-flood perils within 18 months of a confirmed 30-consecutive-day composite-signal breach, propagating into cedant probable-maximum-loss disclosures at the next reporting cycle.
• Guy Carpenter's Global Property Specialty rate-on-line index widens 45–75 bps for subarctic and boreal-zone wildfire and compound-weather covers at the two January 1 renewals following composite-signal confirmation, as cedants reprice expected loss relative to the prior 5-year benchmark distribution.
• Swiss Re Capital Markets prices new catastrophe bond tranches at 50–90 bps above pre-signal spread-at-issuance for multi-peril climate structures (named storm, wildfire, compound flood) within the first primary issuance window after the 30-day threshold is breached, front-running the anticipated model revision before it is formally published.
• EIOPA's next biennial climate stress-test scenario increases peak-event severity by 18–30% for high-frequency compound-weather clusters, translating to an estimated €15–25 billion in additional required solvency capital across the EEA insurance sector in the exercise cycle immediately following composite-signal confirmation.
• Nephila Capital and Fermat Capital Management — the two largest dedicated ILS fund managers by AUM — reduce combined allocation to North American multi-peril wildfire and flood structures by 10–18 percentage points within 24 months of sustained composite-signal elevation, rotating capacity toward shorter-window parametric sovereign covers.