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.