E4 · cycle-003.e4-grc

Greece, scripted, 30 years from 1996

30 simulations of 30 rounds from the 1996 position. Greece decides by the scripted method; scripted events: Global funding seizure in year 14, Severe pandemic in year 24, Regional war spillover in year 26, Breadbasket failure in year 27.

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
12.18 (+0.08)
From 12.10; 12.17 to 12.20
Rank by index
27
From 28; 27 to 28
Domains at Tier 1
5
From 0; 5 to 5
Tier rank
3
From 35; 3 to 3

Capability index by round

Rank by index, by round

Every objective at the position and at the horizon
Objective199610th percentileMedian90th percentileBetter
Capability indexprimary12.1012.1712.1812.20higher
Rank by index28272728lower
Tier rank35333lower
Domains at Tier 10555higher
Score sum872.5881.2882.1883.2higher
Goal-weighted score872.5881.2882.1883.2higher
Resilient score872.5882.2 (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 69 per cent, buy took 0 per cent, partner took 31 per cent of the 2,628 credits a simulation spent on actions.

Against history

Started from a reconstructed 1996 position and played along the pathway and shocks Greece 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
12.10
reconstructed
Observed 2026
10.61
the Index's rating
Simulated 2026
12.18
12.11 to 12.26
Skill against persistence
−0.38
group error 2.22 against 1.61 if nothing changed
Domain1996ObservedSimulatedBiasDirection
Critical Technology7.275.597.27 7.3–7.3+1.68wrong
Strategic Infrastructure12.8411.5014.34 14.2–14.5+2.84wrong
National Security11.999.9011.54 11.5–11.6+1.64right
Human Capital13.4811.9713.91 13.8–14.0+1.93wrong
Information & Influence13.4810.4112.82 12.8–12.9+2.40right
Governance & Integrity12.7511.9514.07 14.0–14.2+2.13wrong
Financial Strength12.2011.8113.67 13.6–13.8+1.87wrong
Production & Innovation11.6610.4510.03 10.0–10.2−0.43right
Trade & Investment13.2111.9211.94 11.9–12.0+0.03right

The history it was played under: shocks and events

  • 2010 · S02 × 1.5 Revelation of a far larger budget deficit shut Greece out of sovereign bond markets and triggered the EU/IMF bailouts and a depression.
  • 2020 · S10 × 0.8 The COVID-19 pandemic hit tourism, hospitality and the health system; lockdowns caused one of the EU's deepest recessions in 2020.
  • 2022 · S03 × 0.4 Russia's invasion of Ukraine disrupted Black Sea shipping and raised energy and food-import costs, hurting Greek shipping and households.
  • 2023 · S06 × 0.5 Storm Daniel flooded the Thessaly plain, Greece's main cereal and cotton area, cutting domestic food output and livestock.

The pathway: what it prioritised, period by period

  • 1997–2000 · build · 5% each Convergence to the Maastricht criteria for euro adoption drove fiscal retrenchment, central-bank modernisation and regulatory alignment. (Fiscal Capacity & Public Finance, Monetary & Currency Capability, Regulatory Governance & Strategic Controls, Government Effectiveness & Public Administration, Financial Infrastructure)
  • 2001–2004 · build · 5% each Preparations for the 2004 Athens Olympics concentrated investment in transport, telecoms, venues and tourism promotion. (Transport Infrastructure, Communications & Digital Infrastructure, Culture, Language & Education Diplomacy, Digital & Services Trade, Social Infrastructure)
  • 2005–2009 · build · 2% each Post-euro credit growth and episodic liberalisation aimed to deepen finance, attract investment and improve skills, though implementation was weak. (Financial System Depth & Access, Business Dynamism & Entrepreneurship, Investment Attraction & Projection, Advanced Manufacturing, Technical & Vocational Skills)
  • 2010–2018 · partner · 5% each EU/IMF memoranda forced fiscal consolidation, financial supervision, public administration and labour-market reforms during the debt crisis. (Fiscal Capacity & Public Finance, Financial Regulation & Integrity, Public Integrity & Anti-Corruption, Government Effectiveness & Public Administration, Labour & Employment)
  • 2019–2026 · build · 5% each The national Recovery and Resilience Plan and EU funds targeted digital transformation, the green energy transition, health resilience and innovation. (Communications & Digital Infrastructure, Energy Technologies, Health System Capability, Digital & Services Trade, Innovation & Commercialisation)

Reconstruction notes (deepseek-v4-pro): Main uncertainties concern the 1996 baseline: Greek capabilities were uneven and often below EU core levels, so scores interpolate between OECD/Eurostat data and qualitative evidence. National security scores rest partly on classified or alliance-integrated assets, and trade and financial scores are shaped by the later sovereign debt crisis that retroactively revealed weaknesses. The mapping of post-2020 events to the library is approximate because Greece experienced inflation, energy and climate shocks that do not correspond exactly to any single event.

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

Greece played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 12.10 to a median of 12.18 (+0.08), with 90 per cent of simulations between 12.16 and 12.20 [experiment_objectives].

Starting position

In 1996 the nation ranks 28 on the index against the frozen field, holds 0 of nine domains at Tier 1 and has a tier rank of 35. Its base income is 465 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.

What was decided

A simulation spent a median of 2,624 credits on moves. The five groups that took most were Communications & Digital Infrastructure (build, 308 credits, 11.7 per cent); Financial Regulation & Integrity (partner, 228 credits, 8.7 per cent); Fiscal Capacity & Public Finance (partner, 228 credits, 8.7 per cent); Public Integrity & Anti-Corruption (partner, 222 credits, 8.4 per cent); Energy Technologies (build, 210 credits, 8.0 per cent) [experiment_decisions_by_group]. By mode: build 69 per cent, partner 31 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.073, and the most repeated action appeared in 40 per cent of rounds.

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

What the world did

A median simulation saw 4 shocks and 0 upside events. The most damaging per firing were S02 (30 firings in 30 simulations, −44.4 points each); S10 (30 firings in 30 simulations, −27.3 points each); S03 (30 firings in 30 simulations, −15.1 points each) [experiment_shocks].

The groups that lost most to shocks, per simulation: Fiscal Capacity & Public Finance −3.24; Labour & Employment −3.12; Trade Facilitation & Logistics −3.04; Investment Attraction & Projection −2.87 [experiment_shock_damage_by_group].

The edges that carried most change through the graph, per simulation: Fiscal Capacity & Public Finance to Social Infrastructure (+1.30 points); Fiscal Capacity & Public Finance to Force Generation & Mobilisation (+1.15 points); Fiscal Capacity & Public Finance to Transport Infrastructure (+0.82 points) [experiment_propagation_by_edge].

Where it ended

At 2026 the median rank is 27 (5th to 95th percentile 27 to 28), the median count of Tier 1 domains 5 (5 to 5) and the median tier rank 3; the resilient score, the mean score sum over simulations, is 882 [experiment_objectives].

Tier 1 probability changed most in: financial strength (0 to 100 per cent of simulations); governance and integrity (0 to 100 per cent of simulations); human capital (0 to 100 per cent of simulations); strategic infrastructure (0 to 100 per cent of simulations); trade and investment (0 to 97 per cent of simulations) [experiment_tiers_by_round].

Why

Without shocks the index ends +1.151 higher on average, so the shocks cost about 1.151 index points [experiment_probe_attribution].

Holding instead of following this method changes the index by −2.010: 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 −0.011 and +0.014, for example 2021 build Communications & Digital Infrastructure (27 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 +0.506 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

tier_jump (warn): largest gain in one domain within five years: 7 tiers (30 simulations above 2); tiers are reported, not an objective.

saturation_high (warn): 100% of simulations end with a group at 20 that did not start there (median 1 groups).

retired_words (warn): e4-grc/report.md: 'simulations' 2 time(s), first near line 39; use 'simulations'.

The simulation furthest from the median (seed 2) ends +0.04 from it, with 4 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 12.10 the model ends at 12.18, where the 2026 ratings put it at 10.61. Group scores miss by 2.22 points on average, against 1.61 for assuming nothing changed (skill −0.38); the change in each domain has the right sign in 44 per cent of domains. Furthest below history: production and innovation (−0.43); furthest above: strategic infrastructure (+2.84) [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.

ProbeIndexScore sumTier 1For example
Hold instead of the method−2.010−141.9−4.90
No shocks+1.151+75.5−0.50
Replay of the recorded actions (must change nothing)0.0000.00.00
Without the 1st largest decision+0.006+0.3+0.102021 build Communications & Digital Infrastructure (27 credits)
Without the 2nd largest decision−0.009−1.0+0.102021 build Energy Technologies (27 credits)
Without the 3rd largest decision−0.011−0.9+0.102021 build Health System Capability (27 credits)
Without the 4th largest decision+0.014+1.1+0.102020 build Communications & Digital Infrastructure (27 credits)
Without the 5th largest decision−0.002−0.3+0.102020 build Energy Technologies (27 credits)
Without the 1st largest shock+0.506+32.3−0.902010 S02 (-44.4 points)
Without the 2nd largest shock+0.368+24.8−1.902020 S10 (-27.3 points)
Without the 3rd largest shock+0.206+14.8−0.402022 S03 (-15.1 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 S02Shock100 per cent14.0−44.4
Regional war spillover S03Shock100 per cent26.0−15.1
Breadbasket failure S06Shock100 per cent27.0−9.0
Severe pandemic S10Shock100 per cent24.0−27.3

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.

73 of 73 groups

Capability group
Domain
1996
2026
Change
Levels invested
Credits
Energy TechnologiesCritical Technology6.8914.86 14.84 to 14.88+7.978.92210
Communications & Digital InfrastructureStrategic Infrastructure13.5120.00 20.00 to 20.00+6.497.45308
Fiscal Capacity & Public FinanceFinancial Strength11.4317.76 17.70 to 17.83+6.339.64322
Public Integrity & Anti-CorruptionGovernance & Integrity11.0617.35 17.31 to 17.41+6.297.24222
Government Effectiveness & Public AdministrationGovernance & Integrity13.2718.70 18.41 to 18.91+5.436.32215
Financial Regulation & IntegrityFinancial Strength13.5618.70 18.66 to 18.73+5.147.49229
Health System CapabilityHuman Capital14.2418.70 18.47 to 18.90+4.464.91152
Technical & Vocational SkillsHuman Capital12.4416.60 16.58 to 16.62+4.164.8451
Social InfrastructureStrategic Infrastructure13.8117.88 17.55 to 18.11+4.073.3699
Financial InfrastructureStrategic Infrastructure14.9718.80 18.70 to 18.93+3.834.5394
Regulatory Governance & Strategic ControlsGovernance & Integrity12.5315.97 15.94 to 16.02+3.444.0994
Transport InfrastructureStrategic Infrastructure13.3816.80 16.56 to 17.06+3.423.5499
Culture, Language & Education DiplomacyInformation & Influence15.8118.60 18.58 to 18.62+2.793.8099
Digital & Services TradeTrade & Investment16.7019.15 19.05 to 19.34+2.453.75137
Monetary & Currency CapabilityFinancial Strength13.2014.78 14.59 to 14.91+1.583.7294
Business Dynamism & EntrepreneurshipProduction & Innovation11.8013.07 13.01 to 13.11+1.272.6551
Advanced ManufacturingStrategic Infrastructure12.1513.16 13.02 to 13.24+1.011.8351
Force Generation & MobilisationNational Security14.4215.06 14.75 to 15.33+0.640.000
Investment Attraction & ProjectionTrade & Investment12.3612.37 12.33 to 12.44+0.012.8651
Nuclear DeterrenceNational Security0.360.35 0.34 to 0.35−0.010.000
Financial System Depth & AccessFinancial Strength12.8912.80 12.77 to 12.83−0.092.3351
Water, Sanitation & Waste InfrastructureStrategic Infrastructure12.9712.77 12.56 to 13.05−0.200.000
Digital & AI CompetenceHuman Capital13.3913.04 12.91 to 13.22−0.350.000
Space, Aerospace & Defence InfrastructureStrategic Infrastructure11.3310.92 10.70 to 11.11−0.410.000
Foundational EducationHuman Capital13.8313.39 13.28 to 13.56−0.440.000
Semiconductors & Advanced ComputingCritical Technology4.183.72 3.71 to 3.74−0.460.000
Land PowerNational Security15.7415.28 15.22 to 15.35−0.460.000
Advanced EducationHuman Capital13.9513.47 13.38 to 13.57−0.480.000
Quantum TechnologiesCritical Technology4.343.83 3.82 to 3.86−0.510.000
Joint Command, Projection & SustainmentNational Security12.8212.31 12.25 to 12.42−0.510.000
National Resilience & Crisis ManagementGovernance & Integrity13.4912.95 12.82 to 13.14−0.540.000
Air PowerNational Security16.2715.71 15.67 to 15.74−0.560.000
Space OperationsNational Security7.577.00 6.96 to 7.03−0.570.000
Research Talent & Knowledge CreationHuman Capital12.0411.44 11.33 to 11.51−0.600.000
Intelligence & AssessmentNational Security13.5512.90 12.87 to 12.94−0.650.000
Cyber & Electromagnetic OperationsNational Security10.499.81 9.78 to 9.84−0.680.000
Space TechnologiesCritical Technology5.865.15 5.14 to 5.16−0.710.000
Maritime PowerNational Security15.8615.13 15.09 to 15.16−0.730.000
Artificial IntelligenceCritical Technology7.346.53 6.49 to 6.59−0.810.000
Energy InfrastructureStrategic Infrastructure12.2211.39 11.29 to 11.54−0.830.000
Lifelong Learning & ReskillingHuman Capital11.6110.73 10.71 to 10.76−0.880.000
Early Childhood DevelopmentHuman Capital15.4014.49 14.47 to 14.52−0.910.000
Robotics & Autonomous SystemsCritical Technology7.896.96 6.93 to 6.99−0.930.000
Strategic Strike & Missile DefenceNational Security12.8511.88 11.83 to 11.92−0.970.000
Political Institutions & Civic ParticipationGovernance & Integrity13.9512.98 12.95 to 13.00−0.970.000
Connectivity, Cyber & Trust TechnologiesCritical Technology9.638.65 8.61 to 8.70−0.980.000
Transparency, Oversight & AccountabilityGovernance & Integrity12.4111.43 11.42 to 11.44−0.980.000
Development Cooperation & Global AssistanceInformation & Influence9.108.11 8.02 to 8.19−0.990.000
Advanced Materials & ManufacturingCritical Technology8.637.64 7.63 to 7.65−0.990.000
Justice System & Fundamental RightsGovernance & Integrity11.9710.97 10.96 to 10.99−1.000.000
Sensing, Timing & NavigationCritical Technology8.467.41 7.39 to 7.43−1.050.000
Internal Security & OrderGovernance & Integrity13.3612.24 12.18 to 12.27−1.120.000
Population HealthHuman Capital14.4313.30 13.27 to 13.34−1.130.000
Diaspora & Global CommunitiesInformation & Influence15.3714.20 14.20 to 14.21−1.170.000
Agriculture & Food InfrastructureStrategic Infrastructure13.1111.93 11.90 to 11.97−1.180.000
Resource InfrastructureStrategic Infrastructure10.929.73 9.69 to 9.75−1.190.000
Alliances & Security CooperationInformation & Influence15.2413.93 13.90 to 13.98−1.310.000
Technology Adoption & DiffusionProduction & Innovation11.6710.30 10.18 to 10.43−1.370.000
Biotechnology & Health TechnologiesCritical Technology9.457.96 7.95 to 7.97−1.490.000
Diplomatic Statecraft & Global NetworksInformation & Influence12.9111.38 11.33 to 11.45−1.530.000
Industrial & Sectoral BaseProduction & Innovation12.6811.00 10.95 to 11.02−1.680.000
Sovereign Capital & External Financial PowerFinancial Strength8.426.72 6.68 to 6.76−1.700.000
Innovation & CommercialisationProduction & Innovation9.878.14 8.13 to 8.15−1.730.000
Information Environment & Strategic CommunicationInformation & Influence12.4210.67 10.65 to 10.70−1.750.000
Structural Transformation & ComplexityProduction & Innovation11.439.45 9.42 to 9.50−1.980.000
Trade Policy & Market AccessTrade & Investment14.9312.83 12.73 to 12.88−2.100.000
Trade Facilitation & LogisticsTrade & Investment14.1611.96 11.85 to 12.16−2.200.000
Global Value Chain PositionTrade & Investment13.2010.96 10.91 to 10.99−2.240.000
Export Capability & SophisticationTrade & Investment10.358.03 7.99 to 8.07−2.320.000
Financial Stability & Crisis ManagementFinancial Strength13.6911.27 11.12 to 11.44−2.420.000
Economic Leverage & DependenceTrade & Investment10.798.29 8.23 to 8.34−2.500.000
Economic Output & ProductivityProduction & Innovation12.019.17 9.13 to 9.20−2.840.000
Labour & EmploymentProduction & Innovation12.169.06 8.97 to 9.72−3.100.204

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: 4.3e-14
  • passscores_in_boundsscores range 0.338 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 1.3e-06 points
  • passmove_without_shocklargest one-year move in a group with no shock landing: 1.53 points; 0% of simulations have one above 3
  • warntier_jumplargest gain in one domain within five years: 7 tiers (30 simulations above 2); tiers are reported, not an objective
  • passall_tier1_from_outside_top10starting rank 28; 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 1 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) 0.073; most funded group economic.financial_strength.fiscal_capacity_and_public_finance
  • passsame_actionthe most repeated move (group and mode) appears in a median 40% of rounds
  • passregression_index_p50index_p50 moved 1.2% since cycle-002 (12.32 to 12.18); versions changed (0.1.0 to 0.1.1, graph 0.2.0 to 0.2.0)
  • passregression_score_sum_p50score_sum_p50 moved 0.8% since cycle-002 (889.57 to 882.14); versions changed (0.1.0 to 0.1.1, graph 0.2.0 to 0.2.0)

Settings and versions

Experiment cycle-003.e4-grc. Every simulation records the model, graph and parameter versions, the scenario, the method and its seed, so it can be reproduced exactly.

Nation
Greece (GRC)
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 14, Severe pandemic in year 24, Regional war spillover in year 26, Breadbasket failure in year 27
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 465.1 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
6.1 seconds in all; 1555 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.