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
Italy played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 14.51 to a median of 13.95 (−0.55), with 90 per cent of simulations between 13.93 and 13.99 [experiment_objectives].
Starting position
In 1996 the nation ranks 16 on the index against the frozen field, holds 0 of nine domains at Tier 1 and has a tier rank of 19. Its base income is 724 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.
What was decided
A simulation spent a median of 2,464 credits on moves. The five groups that took most were Communications & Digital Infrastructure (build, 215 credits, 8.7 per cent); Government Effectiveness & Public Administration (build, 196 credits, 8.0 per cent); Transport Infrastructure (build, 194 credits, 7.9 per cent); Monetary & Currency Capability (build, 185 credits, 7.5 per cent); Financial System Depth & Access (build, 185 credits, 7.5 per cent) [experiment_decisions_by_group]. By mode: build 79 per cent, buy 20 per cent, partner 1 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.062, and the most repeated action appeared in 27 per cent of rounds.
The leading domain by period: rounds 1 to 5, Financial Strength; rounds 6 to 10, Strategic Infrastructure; rounds 11 to 15, Strategic Infrastructure; rounds 16 to 20, Production & Innovation; rounds 21 to 25, Strategic Infrastructure; rounds 26 to 30, Strategic Infrastructure [experiment_spend_by_period].
What the world did
A median simulation saw 5 shocks and 0 upside events. The most damaging per firing were S10 (30 firings in 30 simulations, −37.0 points each); S02 (60 firings in 30 simulations, −19.5 points each); S01 (30 firings in 30 simulations, −17.0 points each) [experiment_shocks].
The groups that lost most to shocks, per simulation: Labour & Employment −3.19; Investment Attraction & Projection −3.09; Trade Facilitation & Logistics −2.99; Fiscal Capacity & Public Finance −2.77 [experiment_shock_damage_by_group].
The edges that carried most change through the graph, per simulation: Fiscal Capacity & Public Finance to Social Infrastructure (+0.61 points); Fiscal Capacity & Public Finance to Force Generation & Mobilisation (+0.41 points); Fiscal Capacity & Public Finance to Transport Infrastructure (+0.38 points) [experiment_propagation_by_edge].
Where it ended
At 2026 the median rank is 18 (5th to 95th percentile 18 to 19), the median count of Tier 1 domains 2 (2 to 3) and the median tier rank 8; the resilient score, the mean score sum over simulations, is 1,018 [experiment_objectives].
Tier 1 probability changed most in: governance and integrity (0 to 100 per cent of simulations); strategic infrastructure (0 to 100 per cent of simulations) [experiment_tiers_by_round].
Why
Without shocks the index ends +1.140 higher on average, so the shocks cost about 1.140 index points [experiment_probe_attribution].
Holding instead of following this method changes the index by −1.524: 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 −0.022 and +0.048, for example 2005 build Transport Infrastructure (42 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 +0.481 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); tiers are reported, not an objective.
retired_words (warn): e4-ita/report.md: 'simulations' 1 time(s), first near line 39; use 'simulations'.
The simulation furthest from the median (seed 7) ends +0.05 from it, with 5 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 14.51 the model ends at 13.96, where the 2026 ratings put it at 13.72. Group scores miss by 1.78 points on average, against 1.10 for assuming nothing changed (skill −0.62); the change in each domain has the right sign in 33 per cent of domains. Furthest below history: trade and investment (−1.69); furthest above: strategic infrastructure (+1.80) [experiment_against_history]. The starting position is reconstructed, so part of the error is the reconstruction's.