Batch cycle-002. Model 0.1.0, graph 0.2.0, parameters 0.1.0. 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
Estonia played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 10.47 to a median of 9.74 (−0.72), with 90 per cent of simulations between 9.71 and 9.76 [experiment_objectives].
Starting position
In 1996 the nation ranks 44 on the index against the frozen field, holds 0 of nine domains at Tier 1 and has a tier rank of 50. Its base income is 295 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.
What was decided
A simulation spent a median of 1,634 credits on moves. The five groups that took most were Force Generation & Mobilisation (partner, 170 credits, 10.4 per cent); Energy Infrastructure (partner, 122 credits, 7.5 per cent); Cyber & Electromagnetic Operations (partner, 110 credits, 6.7 per cent); Regulatory Governance & Strategic Controls (partner, 100 credits, 6.2 per cent); Trade Policy & Market Access (partner, 100 credits, 6.2 per cent) [experiment_decisions_by_group]. By mode: partner 67 per cent, build 33 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.060, and the most repeated action appeared in 50 per cent of rounds.
The leading domain by period: rounds 1 to 5, Governance & Integrity; rounds 6 to 10, Governance & Integrity; rounds 11 to 15, National Security; rounds 16 to 20, Financial Strength; rounds 21 to 25, National Security; rounds 26 to 30, National Security [experiment_spend_by_period].
What the world did
A median simulation saw 6 shocks and 1 upside events. The most damaging per firing were S10 (30 firings in 30 simulations, −37.0 points each); S03 (30 firings in 30 simulations, −34.6 points each); S04 (30 firings in 30 simulations, −28.2 points each) [experiment_shocks]. Upside events fired 30 times across all simulations [experiment_shocks].
The groups that lost most to shocks, per simulation: Trade Facilitation & Logistics −3.82; Economic Leverage & Dependence −3.69; Fiscal Capacity & Public Finance −3.44; Investment Attraction & Projection −3.37 [experiment_shock_damage_by_group].
The edges that carried most change through the graph, per simulation: Semiconductors & Advanced Computing to Artificial Intelligence (−0.64 points); Economic Output & Productivity to Fiscal Capacity & Public Finance (−0.57 points); Diplomatic Statecraft & Global Networks to Trade Policy & Market Access (+0.27 points) [experiment_propagation_by_edge].
Where it ended
At 2026 the median rank is 48 (5th to 95th percentile 48 to 48), the median count of Tier 1 domains 1 (1 to 1) and the median tier rank 19; the resilient score, the mean score sum over simulations, is 698 [experiment_objectives].
Tier 1 probability changed most in: governance and integrity (0 to 100 per cent of simulations) [experiment_tiers_by_round].
Why
Without shocks the index ends +1.981 higher on average, so the shocks cost about 1.981 index points [experiment_probe_attribution].
Holding instead of following this method changes the index by −1.530: 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 −0.035 and +0.024, for example 1998 partner Justice System & Fundamental Rights (15 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 +0.587 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: 6 tiers (30 simulations above 2).
saturation_low (warn): 97% of simulations end with a group at 0 that did not start there (median 1 groups).
retired_words (warn): e4-est/report.md: 'simulations' 2 time(s), first near line 39; use 'simulations'.
The simulation furthest from the median (seed 19) ends −0.04 from it, with 6 shocks and 1 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 10.47 the model ends at 9.74, where the 2026 ratings put it at 11.49. Group scores miss by 2.51 points on average, against 1.27 for assuming nothing changed (skill −0.97); the change in each domain has the right sign in 22 per cent of domains. Furthest below history: production and innovation (−3.41); furthest above: strategic infrastructure (−0.64) [experiment_against_history]. The starting position is reconstructed, so part of the error is the reconstruction's.