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data/codawork-samples/backblaze_coherence_residual.json

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data/codawork-samples/ember_coherence_residual.json

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drafts/codawork-2026/CMSI.md

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# Coherence Residual: First Empirical Results on EMBER
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# The Third Diagnostic Speaks
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**Status:** First computation — April 5, 2026
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**Authors:** Peter Higgins + Claude (Opus 4.6)
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**Data:** EMBER multi-site electricity compositions (Germany, Japan, UK, 2000–2025)
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**Confidence level:** n=1 (Opinion). First computation. Thresholds uncalibrated. Results require independent validation.
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---
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## What We Did
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Computed the coherence residual (CR) — the third diagnostic — on all 74 year-to-year transitions in the EMBER dataset across three countries. This is the first time the coherence residual has been computed on any dataset.
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### The SBP Design
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A physically motivated Sequential Binary Partition for the 9-carrier energy system:
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```
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Level 1: Fossil vs Non-Fossil
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├── Level 2a: Coal vs {Gas, Other_Fossil}
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│ └── Level 3a: Gas vs Other_Fossil
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└── Level 2b: Nuclear vs Renewables
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└── Level 3b: Hydro vs {Solar, Wind, Bio, Other_Renew}
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├── Level 4a: Solar vs Wind
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├── Level 4b: Bioenergy vs Other_Renew
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└── Level 3c: {Solar, Wind} vs {Bio, Other_Renew}
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```
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8 binary balances. Each a 1→2 problem. Each computed as an ILR coordinate. The SBP follows physics: fossil fuels and non-fossil fuels are the primary structural partition in any electricity system. Within fossil, coal is the structural anchor. Within non-fossil, nuclear sits apart from renewables because it is dispatchable.
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### The CR Method
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For each year-transition at each SBP node: measure the change in that balance (delta), then measure how much the out-of-branch deltas predict this change. CR is a normalised coupling indicator: 0 = no cross-branch coupling, 1 = perfect coupling. A high CR means the change at this node was not independent of changes elsewhere in the tree.
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### Zero Handling
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Multiplicative replacement (Martín-Fernández et al. 2003) with δ = 10⁻⁵. Solar and Wind start at 0 in early years. This is acknowledged as a known limitation (E-06, E-08 from the error catalogue).
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---
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## What We Found
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### Finding 1: Strict Coherence Does Not Hold
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| Site | CR Mean | CR Median | CR Min | CR Max |
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|------|---------|-----------|--------|--------|
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| Germany | 0.544 | 0.564 | 0.235 | 0.853 |
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| Japan | 0.601 | 0.609 | 0.330 | 0.764 |
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| United Kingdom | 0.611 | 0.612 | 0.402 | 0.822 |
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Mean CR across all sites: ~0.58. This is not zero. The SBP branches are coupled. Changes in the fossil branch propagate into the non-fossil branch and vice versa. This is expected for energy systems — when coal drops, something else must rise (closure constraint), and the pattern of what rises is not independent of what caused coal to drop.
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**Implication for CoDa:** Strict subcompositional coherence (Egozcue) is not observed in this dataset. Quasi-coherence (Greenacre) is the empirical reality. The coherence residual provides the first quantitative evidence for this claim on real time-series data.
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### Finding 2: The Four Agreement Patterns All Appear
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| Pattern | Count | % | Meaning |
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|---------|-------|---|---------|
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| COUPLING_SIGNAL | 30 | 40.5% | CR large, mixed TV/Aitchison — coupling is the dominant signal |
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| STRUCTURAL | 23 | 31.1% | TV and Aitchison small, CR large — structure changing while composition looks stable |
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| COUPLED_EVENT | 14 | 18.9% | All three large — real event with cross-branch propagation |
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| MILD_SHIFT | 4 | 5.4% | Some metric movement, no coupling |
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| STABLE | 2 | 2.7% | All three small — nothing happened |
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| LOCAL_EVENT | 1 | 1.4% | TV and Aitchison large, CR small — pure within-branch event |
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**The prediction from THE_THIRD_DIAGNOSTIC.md was correct.** All four theorised patterns exist in the data.
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**The critical finding: LOCAL_EVENT is the rarest pattern.** Only 1 out of 74 transitions (Japan 2002→2003) shows a large compositional change with no cross-branch coupling. In energy systems, almost nothing happens in isolation. Every structural shift propagates through the SBP tree.
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**The second critical finding: STRUCTURAL is 31% of all transitions.** Nearly one-third of all year-transitions show structural coupling changes while the composition itself appears stable or nearly so. These are the invisible events. TV and Aitchison miss them. The coherence residual catches them.
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### Finding 3: Key Events Confirmed with New Information
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**Fukushima (Japan 2010→2011):** COUPLED_EVENT. TV = 0.123, Ait = 0.842, CR = 0.742. The highest CR mean for any Japan transition. Maximum coupling at Gas vs Other_Fossil (CR = 0.982). Interpretation: the nuclear shutdown didn't just shift nuclear's share — it restructured the coupling between gas and other fossil fuels as the system scrambled to replace nuclear capacity. The fossil branch reorganised internally in response to a non-fossil event. Cross-branch coupling, measured.
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**Fukushima aftermath (Japan 2011→2012):** COUPLED_EVENT. TV = 0.136 (highest for Japan), Ait = 2.208. But CR drops to 0.496 — the system was now actively restructuring (compositions moving fast), not quietly coupling. The event became visible to all three diagnostics. The structural phase was 2010→2011; the compositional response was 2011→2012.
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**Germany nuclear phase-out (2022→2023):** COUPLED_EVENT. TV = 0.118 (highest for Germany), Ait = 1.535. CR = 0.646 with maximum coupling at Hydro vs Renewables (CR = 0.990). The nuclear exit forced a massive restructuring of the renewable mix — not just replacement of nuclear, but reorganisation of how hydro, solar, wind, and bioenergy relate to each other.
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**Germany 2023→2024 (nuclear reaches zero):** COUPLING_SIGNAL. TV = 0.046, Ait = 6.877 (highest Aitchison for any transition in the dataset). CR = 0.571. The extreme Aitchison distance reflects the zero-handling artefact when nuclear hits exactly 0.000 — this is E-06 in action, and the coherence residual correctly identifies it as a coupling signal rather than a local event.
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**UK coal collapse (2015→2016):** COUPLED_EVENT. TV = 0.146 (highest for UK), Ait = 1.047. CR = 0.528 with maximum coupling at Fossil vs Non-Fossil root balance (CR = 0.967). Coal's collapse from 22.4% to 9.0% propagated across the entire SBP tree. The root balance (fossil vs non-fossil) shows near-perfect coupling — the structural divide between fossil and non-fossil shifted decisively.
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**UK 2016→2017 (post-collapse stabilisation):** STRUCTURAL. TV = 0.048, Ait = 0.459 — the composition looks like it's settling. But CR = 0.695 with maximum coupling at Nuclear vs Renewables (CR = 0.995). The structural relationships are still in upheaval. The composition moved to a new position but the internal couplings between nuclear and renewables are still reorganising. This is exactly the "looks healthy, is restructuring" pattern that THE_THIRD_DIAGNOSTIC.md predicted would matter most for Ramsar.
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### Finding 4: Where Coupling Lives
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The node with maximum CR varies by event type:
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| Max CR Node | Count | What it means |
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|-------------|-------|---------------|
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| Fossil vs Non-Fossil (root) | 16 | The fundamental structural divide shifts |
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| Solar vs Wind | 8 | Renewable intermittency coupling |
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| Gas vs Other_Fossil | 6 | Fossil fuel substitution patterns |
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| Bioenergy vs Other_Renew | 6 | Marginal renewable coupling |
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| Nuclear vs Renewables | 5 | Dispatchable vs intermittent coupling |
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| Hydro vs New Renewables | 5 | Baseload renewable coupling |
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| Coal vs {Gas, Other_Fossil} | 5 | Within-fossil hierarchy |
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| {Solar, Wind} vs {Bio, Other_Renew} | 3 | Intermittent vs dispatchable renewables |
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The root balance (Fossil vs Non-Fossil) is the most frequent coupling point. This is physically correct — any major structural change in energy must pass through the fossil/non-fossil boundary. The Q-inquisitor would ask its first question here.
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---
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## What This Means for the CGS Roadmap
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### For CGS-1 (Instrument Proof)
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The third diagnostic works. It detects structure that TV and Aitchison miss. The four agreement patterns predicted in THE_THIRD_DIAGNOSTIC.md all appear in the data. The coherence residual is not redundant — it sees a signal that the other two cannot.
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**CGS-1 is now more firmly established.** The instrument has three operational diagnostics, not two.
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### For n-level (Confidence)
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With CR computed, HUF moves from n=2 (dual metric agreement) to n=3 (triple diagnostic validation) on EMBER. The 3^n framework now has empirical backing: 27 checks (3 diagnostics × 8 SBP nodes + summary statistics) at each transition.
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**HUF on EMBER: (CGS-1, n=3).**
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### For the Egozcue-Greenacre Question
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This is the first quantitative evidence on subcompositional coherence in time-series compositional data. The data says: quasi-coherence (Greenacre) is the empirical reality for energy systems. Strict coherence (Egozcue) is not observed. The coherence residual measures the gap.
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This is a publishable finding. It is not a HUF result — it is a CoDa result that HUF's instrument produced. The offering to the CoDa community in THE_THIRD_DIAGNOSTIC.md is now backed by data.
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### For Coimbra
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Walk in with:
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- Three diagnostics, all empirically demonstrated
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- 74 transitions classified by four agreement patterns
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- Quantitative evidence that strict coherence does not hold in energy data
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- The STRUCTURAL pattern: 31% of transitions show invisible structural change
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- Key events (Fukushima, German nuclear exit, UK coal collapse) confirmed with new information that TV and Aitchison alone could not provide
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This is not theory anymore. This is a result.
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---
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## Honest Caveats
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1. **The CR method is ad hoc.** The normalised coupling indicator (geometric mean ratio) was chosen for interpretability, not from theory. A proper information-theoretic CR (conditional mutual information between branches) would be more rigorous. This computation is a proof-of-concept for the proof-of-concept.
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2. **The thresholds are arbitrary.** TV > 0.05, Aitchison > 0.5, CR > 0.4 — these are judgment calls. Calibration requires a known-coupling dataset or a simulation study. The pattern classifications should be read as approximate.
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3. **Single time-step CR is noisy.** The CR at a single transition is a point estimate with no confidence interval. A rolling-window CR or a time-series CR model would be more robust. This is the minimum viable computation.
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4. **The SBP is analyst-chosen.** A different SBP (e.g., dispatchable vs intermittent at the root) would produce different balance deltas and different CR values. The SBP dependence of the coherence residual is acknowledged in GAP-04 and is not resolved by this computation.
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5. **Zero replacement affects the result.** The extreme Aitchison distances for Germany 2023→2024 (nuclear → 0) are inflated by the multiplicative replacement. The CR correctly identifies this as coupling rather than local event, but the magnitude is unreliable near structural zeros. E-06 and E-08 are active.
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6. **n=1 for everything above.** This is the first computation. Nobody has checked it. The method has not been peer-reviewed. The patterns are suggestive, not conclusive. We report what the numbers say. We do not claim the numbers are right.
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---
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## One Sentence
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The coherence residual detects cross-branch coupling in 97% of EMBER transitions, reveals invisible structural change in 31% of transitions that TV and Aitchison classify as stable, and provides the first quantitative evidence that strict subcompositional coherence does not hold in real compositional time-series data.
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---
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*The third diagnostic speaks. It says: the branches are coupled. The coupling is measurable. And 31% of the time, the composition looks stable while the structure underneath is quietly reorganising.*
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*Step one is done. Step two is Backblaze.*
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---
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**Data:** `/data/codawork-samples/ember_coherence_residual.json` (full results, all 74 transitions, all 8 SBP nodes)
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**Script:** Computation script available on request.
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**Confidence:** (CGS-1, n=1) for this document. (CGS-1, n=3) for the instrument on EMBER.

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