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
United States played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 19.15 to a median of 18.36 (−0.79), with 90 per cent of simulations between 18.35 and 18.36 [experiment_objectives].
Starting position
In 1996 the nation ranks 1 on the index against the frozen field, holds 9 of nine domains at Tier 1 and has a tier rank of 1. Its base income is 5,401 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.
What was decided
A simulation spent a median of 10,014 credits on moves. The five groups that took most were Joint Command, Projection & Sustainment (build, 863 credits, 8.6 per cent); Land Power (build, 863 credits, 8.6 per cent); Air Power (build, 863 credits, 8.6 per cent); Internal Security & Order (build, 863 credits, 8.6 per cent); Intelligence & Assessment (build, 863 credits, 8.6 per cent) [experiment_decisions_by_group]. By mode: build 100 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.061, and the most repeated action appeared in 47 per cent of rounds.
The leading domain by period: rounds 1 to 5, National Security; rounds 6 to 10, National Security; rounds 11 to 15, National Security; rounds 16 to 20, Critical Technology; rounds 21 to 25, National Security; rounds 26 to 30, Critical Technology [experiment_spend_by_period].
What the world did
A median simulation saw 8 shocks and 0 upside events. The most damaging per firing were S10 (30 firings in 30 simulations, −19.8 points each); S07 (30 firings in 30 simulations, −11.4 points each); S02 (60 firings in 30 simulations, −9.3 points each) [experiment_shocks].
The groups that lost most to shocks, per simulation: Trade Facilitation & Logistics −2.04; Fiscal Capacity & Public Finance −2.02; Investment Attraction & Projection −1.81; Labour & Employment −1.80 [experiment_shock_damage_by_group].
The edges that carried most change through the graph, per simulation: Fiscal Capacity & Public Finance to Social Infrastructure (−0.21 points); Fiscal Capacity & Public Finance to Force Generation & Mobilisation (−0.20 points); Health System Capability to Population Health (+0.22 points) [experiment_propagation_by_edge].
Where it ended
At 2026 the median rank is 1 (5th to 95th percentile 1 to 1), the median count of Tier 1 domains 9 (9 to 9) and the median tier rank 1; the resilient score, the mean score sum over simulations, is 1,344 [experiment_objectives].
Why
Without shocks the index ends +0.940 higher on average, so the shocks cost about 0.940 index points [experiment_probe_attribution].
Holding instead of following this method changes the index by −0.417: 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 2001 build Intelligence & Assessment (109 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 +0.284 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 3 groups).
retired_words (warn): e4-usa/report.md: 'simulations' 1 time(s), first near line 38; use 'simulations'.
The simulation furthest from the median (seed 15) ends −0.01 from it, with 8 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 19.15 the model ends at 18.36, where the 2026 ratings put it at 18.03. Group scores miss by 0.92 points on average, against 1.10 for assuming nothing changed (skill +0.17); the change in each domain has the right sign in 78 per cent of domains. Furthest below history: critical technology (−0.39); furthest above: human capital (+1.60) [experiment_against_history]. The starting position is reconstructed, so part of the error is the reconstruction's.