E4 · cycle-003.e4-nor

Norway, scripted, 30 years from 1996

30 simulations of 30 rounds from the 1996 position. Norway decides by the scripted method; scripted events: Global funding seizure in year 12, Severe pandemic in year 24, Regional war spillover in year 26.

Model 0.2.0 · graph 0.2.0 · parameters 0.1.1 · seeds 1–30 · elasticity sampled within each bracket

The same configuration in other cycles: cycle 2.

Every simulation · Compare with another experiment · More experiments like this

Not a forecast

Simulations of a structural model with seed parameter values, to compare methods and test the model. Other nations stay at their 2026 ratings throughout.

Outcome across simulations

The median at 2026, with the 10th to the 90th percentile of the 30 simulations under it.

Capability index: 16.71 (+0.48); From 16.23; 16.71 to 16.72
Rank by index: 2; From 6; 2 to 2
Domains at Tier 1: 8; From 7; 8 to 8
Tier rank: 1; From 2; 1 to 1

Capability index by round

Rank by index, by round

Every objective at the position and at the horizon
Objective	1996	10th percentile	Median	90th percentile	Better
Capability indexprimary	16.23	16.71	16.71	16.72	higher
Rank by index	6	2	2	2	lower
Tier rank	2	1	1	1	lower
Domains at Tier 1	7	8	8	8	higher
Score sum	1167.2	1205.8	1206.2	1206.6	higher
Goal-weighted score	1167.2	1205.8	1206.2	1206.6	higher
Resilient score	1167.2	1206.2 (mean score sum over the simulations)			higher

The capability index is the mean of the three dimensions, each the mean of its domains, each the mean of its groups. Tiers are Pareto layers within each domain; the tier rank orders nations by domains held at Tier 1, then Tier 2, and so on. The goal-weighted score is the score sum unless the experiment sets a goal. The primary objective is the one the experiment is judged on; every other objective is reported beside it.

Credits

What each round’s credits went on in the median simulation. Across all simulations, build took 100 per cent, buy took 0 per cent, partner took 0 per cent of the 4,232 credits a simulation spent on actions.

Against history

Started from a reconstructed 1996 position and played along the pathway and shocks Norway actually had, then scored against the 2026 ratings. The position is an estimate, so part of any error is the reconstruction's. The calibration summary across all fifty nations is on the cycle's page under Loop.

Index 1996: 16.23; reconstructed
Observed 2026: 14.62; the Index's rating
Simulated 2026: 16.71; 16.69 to 16.74
Skill against persistence: −0.23; group error 2.56 against 2.09 if nothing changed

Domain	1996	Observed	Simulated	Bias	Direction
Critical Technology	13.54	10.49	14.95 14.8–15.0	+4.46	wrong
Strategic Infrastructure	16.99	14.94	17.31 17.3–17.3	+2.37	wrong
National Security	10.49	11.52	11.52 11.5–11.5	0.00	right
Human Capital	18.06	16.59	18.59 18.6–18.6	+2.00	wrong
Information & Influence	15.34	14.43	16.09 16.1–16.1	+1.66	wrong
Governance & Integrity	19.14	17.12	19.03 19.0–19.0	+1.91	wrong
Financial Strength	18.48	16.39	18.26 18.2–18.3	+1.86	wrong
Production & Innovation	16.70	14.92	16.90 16.9–16.9	+1.98	wrong
Trade & Investment	17.35	15.19	17.78 17.8–17.8	+2.59	wrong

The history it was played under: shocks and events

2008 · S02 × 0.4 The global financial crisis tightened credit and cut oil prices; Norway was cushioned by the sovereign fund and public banks but still experienced recession and bank support measures.
2020 · S10 × 0.6 The SARS-CoV-2 pandemic reached Norway in early 2020; strict national lockdowns, infection control and large fiscal packages contained excess deaths but disrupted services, travel and oil demand.
2022 · S03 × 0.3 Russia's full-scale invasion of Ukraine heightened Norway's security and NATO role, disrupted European energy trade and raised defence and energy-security spending while generating large gas revenues.

The pathway: what it prioritised, period by period

1997–2001 · build · 2% each Norway expanded petroleum and electricity infrastructure, liberalised telecoms, institutionalised petroleum revenue saving and deepened EEA market integration. (Resource Infrastructure, Energy Infrastructure, Communications & Digital Infrastructure, Fiscal Capacity & Public Finance, Trade Policy & Market Access)
2002–2008 · build · 2% each The government raised research spending, reformed health care, sustained world-leading aid and promoted seafood, maritime and energy-related exports. (Research Talent & Knowledge Creation, Innovation & Commercialisation, Health System Capability, Development Cooperation & Global Assistance, Export Capability & Sophistication)
2009–2014 · build · 2% each Post-crisis financial oversight tightened while Norway invested in offshore and renewable energy technology, digital competence, High North diplomacy and NATO cooperation. (Financial Stability & Crisis Management, Energy Technologies, Digital & AI Competence, Diplomatic Statecraft & Global Networks, Alliances & Security Cooperation)
2015–2021 · build · 2% each After Crimea Norway strengthened cyber and military readiness, accelerated electrification and green energy, and built health and AI capacity, later exercised by the pandemic. (Cyber & Electromagnetic Operations, National Resilience & Crisis Management, Energy Infrastructure, Health System Capability, Artificial Intelligence)
2022–2026 · build · 2% each Russia's invasion of Ukraine drove higher defence spending, energy security and technology investment, including AI, trusted connectivity and civil resilience. (Force Generation & Mobilisation, Energy Technologies, Artificial Intelligence, Connectivity, Cyber & Trust Technologies, National Resilience & Crisis Management)

Reconstruction notes (deepseek-v4-pro): The largest uncertainty concerns Norway's 1996 standing in hard critical technologies, where a small open economy can hide substantial niche strengths; scores are therefore conservative in the advanced or transitional bands. Oil dependence makes structural complexity and economic leverage harder to score than the headline high-income performance suggests. The event library lacks a clean match for the 2011 Oslo/Utøya attacks and the 2014 oil price collapse, so those are noted in the policy narrative rather than forced into a poor event mapping.

Report

Written from the simulation record by the loop's narrator. Every figure names the query it came from, in square brackets.

Batch cycle-003. Model 0.2.0, graph 0.2.0, parameters 0.1.1. 30 simulations, seeds 1 to 30; probes on 10. Every figure is a distribution over simulations of a structural model with seed parameter values; it shows what the model implies under these settings, not what will happen. Other nations are frozen at their 2026 ratings. No reconstructed historical data is used in this experiment.

Headline

Norway played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 16.23 to a median of 16.71 (+0.48), with 90 per cent of simulations between 16.71 and 16.72 [experiment_objectives].

Starting position

In 1996 the nation ranks 6 on the index against the frozen field, holds 7 of nine domains at Tier 1 and has a tier rank of 2. Its base income is 1,400 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.

What was decided

A simulation spent a median of 4,232 credits on moves. The five groups that took most were Health System Capability (build, 397 credits, 9.4 per cent); Energy Infrastructure (build, 338 credits, 8.0 per cent); Artificial Intelligence (build, 337 credits, 8.0 per cent); National Resilience & Crisis Management (build, 337 credits, 8.0 per cent); Energy Technologies (build, 309 credits, 7.3 per cent) [experiment_decisions_by_group]. By mode: build 100 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.057, and the most repeated action appeared in 47 per cent of rounds.

The leading domain by period: rounds 1 to 5, Strategic Infrastructure; rounds 6 to 10, Human Capital; rounds 11 to 15, Information & Influence; rounds 16 to 20, Information & Influence; rounds 21 to 25, Governance & Integrity; rounds 26 to 30, Critical Technology [experiment_spend_by_period].

What the world did

A median simulation saw 3 shocks and 0 upside events. The most damaging per firing were S10 (30 firings in 30 simulations, −12.3 points each); S02 (30 firings in 30 simulations, −4.1 points each); S03 (30 firings in 30 simulations, −3.2 points each) [experiment_shocks].

The groups that lost most to shocks, per simulation: Trade Facilitation & Logistics −0.67; Fiscal Capacity & Public Finance −0.61; Labour & Employment −0.58; Investment Attraction & Projection −0.49 [experiment_shock_damage_by_group].

The edges that carried most change through the graph, per simulation: Artificial Intelligence to Robotics & Autonomous Systems (+1.19 points); Research Talent & Knowledge Creation to Innovation & Commercialisation (+0.53 points); Research Talent & Knowledge Creation to Biotechnology & Health Technologies (+0.45 points) [experiment_propagation_by_edge].

Where it ended

At 2026 the median rank is 2 (5th to 95th percentile 2 to 2), the median count of Tier 1 domains 8 (8 to 8) and the median tier rank 1; the resilient score, the mean score sum over simulations, is 1,206 [experiment_objectives].

Tier 1 probability changed most in: critical technology (0 to 100 per cent of simulations) [experiment_tiers_by_round].

Why

Without shocks the index ends +0.281 higher on average, so the shocks cost about 0.281 index points [experiment_probe_attribution].

Holding instead of following this method changes the index by −0.843: that is the method's worth against doing nothing [experiment_probe_attribution].

Removing any single one of the five largest actions changes the index by between 0.000 and 0.000, for example 2009 build Financial Stability & Crisis Management (28 credits) [experiment_probe_attribution]. The largest actions by credits come late, when income is highest, and are rarely the most valuable.

Removing the largest shock of a simulation raises the index by +0.180 on average [experiment_probe_attribution].

The replay probe reproduces the simulations exactly (index change 0.000000), so the attributions are clean [experiment_probe_attribution].

Surprises

saturation_high (warn): 100% of simulations end with a group at 20 that did not start there (median 4 groups).

retired_words (warn): e4-nor/report.md: 'simulations' 1 time(s), first near line 39; use 'simulations'.

The simulation furthest from the median (seed 4) ends +0.01 from it, with 3 shocks and 0 upside events [experiment_outlier_simulations].

Comparison

This is the baseline (hold) experiment, or there is none for this nation in the batch.

Against history: from a reconstructed index of 16.23 the model ends at 16.71, where the 2026 ratings put it at 14.62. Group scores miss by 2.56 points on average, against 2.09 for assuming nothing changed (skill −0.22); the change in each domain has the right sign in 11 per cent of domains. Furthest below history: national security (0.00); furthest above: critical technology (+4.46) [experiment_against_history]. The starting position is reconstructed, so part of the error is the reconstruction's.

What each decision and shock was worth

Counterfactual probes on the first 10 seeds: the same simulations with one thing changed, paired seed by seed. A removed decision or shock is taken out and the other decisions replayed unchanged, so the difference is that item's worth.

Probe	Index	Score sum	Tier 1	For example
Hold instead of the method	−0.843	−64.2	−2.00
No shocks	+0.281	+19.4	0.00
Replay of the recorded actions (must change nothing)	0.000	0.0	0.00
Without the 1st largest decision	0.000	0.0	0.00	2009 build Financial Stability & Crisis Management (28 credits)
Without the 2nd largest decision	0.000	0.0	0.00	2009 build Energy Technologies (28 credits)
Without the 3rd largest decision	0.000	0.0	0.00	2009 build Digital & AI Competence (28 credits)
Without the 4th largest decision	+0.000	+0.0	0.00	2009 build Diplomatic Statecraft & Global Networks (28 credits)
Without the 5th largest decision	0.000	0.0	0.00	2009 build Alliances & Security Cooperation (28 credits)
Without the 1st largest shock	+0.180	+12.4	0.00	2020 S10 (-12.3 points)
Without the 2nd largest shock	+0.059	+4.0	0.00	2008 S02 (-4.1 points)
Without the 3rd largest shock	+0.045	+3.2	0.00	2022 S03 (-3.2 points)

Simulations

Three simulations told round by round, each on its own page: the one nearest the median index at the horizon, and those nearest the 10th and the 90th percentile. Every one of the 30 is listed with its outcome on the simulations page.

All 30 simulations

Events

How often each shock and upside event began across the simulations. Shocks come from the ten downside scenarios and upside events from the ten upside ones, at their yearly likelihood.

Event	Kind	Simulations	Mean round	Points
Global funding seizure S02	Shock	100 per cent	12.0	−4.1
Regional war spillover S03	Shock	100 per cent	26.0	−3.2
Severe pandemic S10	Shock	100 per cent	24.0	−12.3

Groups across simulations

Every capability group: its position, and its median and spread at the horizon across the simulations, with what the method spent on it.

Find a group

Domain

73 of 73 groups

Capability group	Domain	1996	2026	Change	Levels invested	Credits
Artificial Intelligence	Critical Technology	11.16	20.00 20.00 to 20.00	+8.84	9.02	338
Cyber & Electromagnetic Operations	National Security	11.68	19.64 19.63 to 19.66	+7.96	8.05	198
Research Talent & Knowledge Creation	Human Capital	16.35	19.85 19.85 to 19.86	+3.50	4.97	199
Diplomatic Statecraft & Global Networks	Information & Influence	16.31	19.79 19.79 to 19.79	+3.48	4.75	170
Innovation & Commercialisation	Production & Innovation	16.74	19.95 19.88 to 20.00	+3.21	3.75	199
Force Generation & Mobilisation	National Security	13.25	16.43 16.43 to 16.44	+3.18	3.34	140
Export Capability & Sophistication	Trade & Investment	16.78	19.67 19.66 to 19.69	+2.89	4.10	199
Connectivity, Cyber & Trust Technologies	Critical Technology	17.46	20.00 20.00 to 20.00	+2.54	2.98	140
Trade Policy & Market Access	Trade & Investment	17.33	19.71 19.71 to 19.72	+2.38	3.10	140
Energy Infrastructure	Strategic Infrastructure	17.84	19.99 19.99 to 19.99	+2.15	3.71	338
Energy Technologies	Critical Technology	17.96	20.00 20.00 to 20.00	+2.04	3.26	309
Alliances & Security Cooperation	Information & Influence	17.81	19.77 19.76 to 19.77	+1.96	2.56	170
Communications & Digital Infrastructure	Strategic Infrastructure	18.06	19.82 19.81 to 19.82	+1.76	2.52	140
Health System Capability	Human Capital	18.41	19.99 19.99 to 19.99	+1.58	4.15	397
Robotics & Autonomous Systems	Critical Technology	17.47	18.45 17.95 to 18.74	+0.98	0.00	0
Digital & AI Competence	Human Capital	19.14	19.86 19.85 to 19.86	+0.72	2.94	170
Resource Infrastructure	Strategic Infrastructure	19.12	19.73 19.72 to 19.75	+0.61	1.25	140
National Resilience & Crisis Management	Governance & Integrity	19.54	20.00 20.00 to 20.00	+0.46	2.54	338
Fiscal Capacity & Public Finance	Financial Strength	19.13	19.33 19.32 to 19.35	+0.20	1.27	140
Intelligence & Assessment	National Security	11.59	11.74 11.59 to 11.87	+0.15	0.00	0
Quantum Technologies	Critical Technology	7.03	7.10 7.00 to 7.18	+0.07	0.00	0
Advanced Materials & Manufacturing	Critical Technology	15.00	15.05 14.93 to 15.14	+0.05	0.00	0
Biotechnology & Health Technologies	Critical Technology	15.82	15.85 15.74 to 15.99	+0.03	0.00	0
Nuclear Deterrence	National Security	0.36	0.35 0.35 to 0.36	−0.01	0.00	0
Advanced Manufacturing	Strategic Infrastructure	14.52	14.49 14.43 to 14.53	−0.03	0.00	0
Information Environment & Strategic Communication	Information & Influence	15.86	15.79 15.71 to 15.95	−0.07	0.00	0
Early Childhood Development	Human Capital	19.25	19.17 19.15 to 19.20	−0.08	0.00	0
Sovereign Capital & External Financial Power	Financial Strength	17.10	17.01 16.93 to 17.06	−0.09	0.00	0
Land Power	National Security	9.33	9.22 9.21 to 9.23	−0.11	0.00	0
Technology Adoption & Diffusion	Production & Innovation	19.02	18.90 18.86 to 18.95	−0.12	0.00	0
Semiconductors & Advanced Computing	Critical Technology	5.86	5.73 5.70 to 5.75	−0.13	0.00	0
Air Power	National Security	12.40	12.27 12.26 to 12.28	−0.13	0.00	0
Population Health	Human Capital	17.93	17.78 17.74 to 17.84	−0.15	0.00	0
Transparency, Oversight & Accountability	Governance & Integrity	19.83	19.67 19.67 to 19.67	−0.16	0.00	0
Water, Sanitation & Waste Infrastructure	Strategic Infrastructure	18.03	17.87 17.86 to 17.87	−0.16	0.00	0
Advanced Education	Human Capital	17.11	16.95 16.94 to 16.96	−0.16	0.00	0
Regulatory Governance & Strategic Controls	Governance & Integrity	19.38	19.22 19.22 to 19.22	−0.16	0.00	0
Political Institutions & Civic Participation	Governance & Integrity	19.43	19.26 19.26 to 19.26	−0.17	0.00	0
Justice System & Fundamental Rights	Governance & Integrity	17.97	17.80 17.80 to 17.81	−0.17	0.00	0
Lifelong Learning & Reskilling	Human Capital	19.60	19.43 19.43 to 19.44	−0.17	0.00	0
Space, Aerospace & Defence Infrastructure	Strategic Infrastructure	13.28	13.10 13.10 to 13.11	−0.18	0.00	0
Maritime Power	National Security	16.47	16.29 16.28 to 16.30	−0.18	0.00	0
Space Operations	National Security	9.36	9.18 9.17 to 9.18	−0.18	0.00	0
Technical & Vocational Skills	Human Capital	17.38	17.20 17.20 to 17.21	−0.18	0.00	0
Internal Security & Order	Governance & Integrity	18.18	18.00 17.99 to 18.00	−0.18	0.00	0
Public Integrity & Anti-Corruption	Governance & Integrity	19.05	18.87 18.87 to 18.87	−0.18	0.00	0
Sensing, Timing & Navigation	Critical Technology	16.01	15.83 15.78 to 15.87	−0.18	0.00	0
Industrial & Sectoral Base	Production & Innovation	15.81	15.62 15.58 to 15.66	−0.19	0.00	0
Digital & Services Trade	Trade & Investment	19.12	18.93 18.87 to 18.98	−0.19	0.00	0
Agriculture & Food Infrastructure	Strategic Infrastructure	15.43	15.23 15.23 to 15.24	−0.20	0.00	0
Space Technologies	Critical Technology	11.67	11.46 11.44 to 11.49	−0.21	0.00	0
Transport Infrastructure	Strategic Infrastructure	16.15	15.94 15.93 to 15.94	−0.21	0.00	0
Strategic Strike & Missile Defence	National Security	8.68	8.46 8.46 to 8.47	−0.22	0.00	0
Economic Output & Productivity	Production & Innovation	18.07	17.85 17.80 to 17.92	−0.22	0.00	0
Social Infrastructure	Strategic Infrastructure	19.48	19.25 19.24 to 19.26	−0.23	0.00	0
Joint Command, Projection & Sustainment	National Security	11.80	11.57 11.57 to 11.57	−0.23	0.00	0
Financial Stability & Crisis Management	Financial Strength	20.00	19.76 19.75 to 19.77	−0.24	1.55	170
Development Cooperation & Global Assistance	Information & Influence	20.00	19.74 19.73 to 19.75	−0.26	2.52	199
Financial Infrastructure	Strategic Infrastructure	17.99	17.72 17.71 to 17.73	−0.27	0.00	0
Diaspora & Global Communities	Information & Influence	10.75	10.46 10.46 to 10.46	−0.29	0.00	0
Structural Transformation & Complexity	Production & Innovation	12.92	12.63 12.61 to 12.65	−0.29	0.00	0
Culture, Language & Education Diplomacy	Information & Influence	11.30	11.01 11.01 to 11.01	−0.29	0.00	0
Foundational Education	Human Capital	17.42	17.12 17.12 to 17.13	−0.30	0.00	0
Government Effectiveness & Public Administration	Governance & Integrity	19.72	19.41 19.41 to 19.42	−0.31	0.00	0
Global Value Chain Position	Trade & Investment	15.67	15.31 15.27 to 15.32	−0.36	0.00	0
Business Dynamism & Entrepreneurship	Production & Innovation	14.99	14.62 14.61 to 14.63	−0.37	0.00	0
Monetary & Currency Capability	Financial Strength	18.08	17.67 17.67 to 17.68	−0.41	0.00	0
Financial Regulation & Integrity	Financial Strength	19.11	18.70 18.70 to 18.70	−0.41	0.00	0
Financial System Depth & Access	Financial Strength	17.48	17.06 17.06 to 17.06	−0.42	0.00	0
Economic Leverage & Dependence	Trade & Investment	17.12	16.65 16.64 to 16.66	−0.47	0.00	0
Investment Attraction & Projection	Trade & Investment	17.12	16.61 16.61 to 16.61	−0.51	0.00	0
Labour & Employment	Production & Innovation	19.32	18.71 18.70 to 18.71	−0.61	0.00	0
Trade Facilitation & Logistics	Trade & Investment	18.31	17.60 17.60 to 17.61	−0.71	0.00	0

Checks

The automated checks run on this experiment before anything was written about it. A warning is a candidate finding for the improvement loop.

passcredits_conservedlargest gap between credits in and credits accounted for: 9.1e-13
passscores_in_boundsscores range 0.348 to 20.000
passno_nans0 missing values in the trajectory and objectives
passprobe_replay_reproducesthe recorded moves played back reproduce the simulation to within 0.0e+00 points (10 simulations)
passledger_balancesthe edge ledger sums to the propagated change to within 1.9e-06 points
passmove_without_shocklargest one-year move in a group with no shock landing: 1.31 points; 0% of simulations have one above 3
passtier_jumplargest gain in one domain within five years: 2 tiers (0 simulations above 2); tiers are reported, not an objective
passall_tier1_from_outside_top10starting rank 6; 0 simulations reach Tier 1 in all nine domains
warnsaturation_high100% of simulations end with a group at 20 that did not start there (median 4 groups)
passsaturation_low0% of simulations end with a group at 0 that did not start there (median 0 groups)
passspend_concentrationmedian concentration of spending across groups (HHI) 0.057; most funded group soft.human_capital.health_system_capability
passsame_actionthe most repeated move (group and mode) appears in a median 47% of rounds
passregression_index_p50index_p50 moved 0.2% since cycle-002 (16.67 to 16.71); versions changed (0.1.0 to 0.1.1, graph 0.2.0 to 0.2.0)
passregression_score_sum_p50score_sum_p50 moved 0.3% since cycle-002 (1202.56 to 1206.17); versions changed (0.1.0 to 0.1.1, graph 0.2.0 to 0.2.0)

Settings and versions

Experiment cycle-003.e4-nor. Every simulation records the model, graph and parameter versions, the scenario, the method and its seed, so it can be reproduced exactly.

Nation: Norway (NOR)
Position: A reconstructed 1996 position, aligned to the Index's scale
Method: Scripted. Actions fixed in advance by the experiment: for a backcast, the nation's historical pathway.
Scenario: Scripted events: Global funding seizure in year 12, Severe pandemic in year 24, Regional war spillover in year 26
Objective: Capability index, the primary objective the experiment is judged on; every other objective is reported beside it
Horizon: 30 rounds, 1996 to 2026
Simulations: 30 seeds, 1 to 30. Every method in the batch faces the same draws for the same seed.
Graph elasticities: Drawn for each simulation, uniformly within each edge’s bracket
Income: Base credits 1,400.3 a round, moving with the economic groups
Versions: Model 0.2.0, Capability Dependency Graph 0.2.0, parameters 0.1.1
Batch: Backcast 1996-2026 (cycle-003), cycle 3 of the improvement loop
Runtime: 6.0 seconds in all; 1500 microseconds a round

Not a forecast: Every figure is a distribution over the simulations of a structural model, reported to compare methods and test the model. None is a prediction of what a nation will do or become.
Structural parameters: Costs, decay, vulnerability and credits are structural seed values with low or medium confidence, set by domain with single-group exceptions. Five groups have no defensible value in a single-nation model and are flagged in the parameter tables.
Other nations are frozen: One nation is simulated at a time. Every other nation stays at its 2026 rating, so rank and tiers are measured against a still field; where the simulated nation rises past others their own tiers are not re-sorted.
Starting depth and mode are defaults: The position is the National Capability Index ratings. How institutionalised each capability is, and how much was built, bought or partnered, have no data behind them yet and start from structural defaults.
Credits are calibrated, not measured: Each nation’s income is set so that its position is affordable with headroom that rises with its fiscal capacity. It is not yet fiscal capacity as a share of GDP.