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
Nigeria played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 7.51 to a median of 7.87 (+0.36), with 90 per cent of simulations between 7.87 and 7.88 [experiment_objectives].
Starting position
In 1996 the nation ranks 73 on the index against the frozen field, holds 0 of nine domains at Tier 1 and has a tier rank of 70. Its base income is 191 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.
What was decided
A simulation spent a median of 1,477 credits on moves. The five groups that took most were Resource Infrastructure (build, 157 credits, 10.6 per cent); Energy Infrastructure (build, 141 credits, 9.5 per cent); Internal Security & Order (build, 125 credits, 8.5 per cent); Agriculture & Food Infrastructure (build, 96 credits, 6.5 per cent); Communications & Digital Infrastructure (build, 91 credits, 6.2 per cent) [experiment_decisions_by_group]. By mode: build 87 per cent, partner 13 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.065, 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, Strategic Infrastructure; rounds 11 to 15, Strategic Infrastructure; rounds 16 to 20, Strategic Infrastructure; rounds 21 to 25, Strategic Infrastructure; rounds 26 to 30, Strategic Infrastructure [experiment_spend_by_period].
What the world did
A median simulation saw 4 shocks and 2 upside events. The most damaging per firing were S06 (30 firings in 30 simulations, −22.1 points each); S10 (30 firings in 30 simulations, −20.8 points each); S02 (30 firings in 30 simulations, −12.0 points each) [experiment_shocks]. Upside events fired 60 times across all simulations [experiment_shocks].
The groups that lost most to shocks, per simulation: Fiscal Capacity & Public Finance −2.73; Trade Facilitation & Logistics −2.16; Monetary & Currency Capability −1.79; Financial System Depth & Access −1.78 [experiment_shock_damage_by_group].
The edges that carried most change through the graph, per simulation: Fiscal Capacity & Public Finance to Force Generation & Mobilisation (+0.18 points); Fiscal Capacity & Public Finance to Social Infrastructure (+0.17 points); Energy Infrastructure to Advanced Manufacturing (+0.66 points) [experiment_propagation_by_edge].
Where it ended
At 2026 the median rank is 70 (5th to 95th percentile 70 to 70), the median count of Tier 1 domains 0 (0 to 0) and the median tier rank 49; the resilient score, the mean score sum over simulations, is 565 [experiment_objectives].
Why
Without shocks the index ends +1.079 higher on average, so the shocks cost about 1.079 index points [experiment_probe_attribution].
Holding instead of following this method changes the index by −1.178: 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 −0.005 and +0.005, for example 2009 build Internal Security & Order (12 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 +0.344 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
The simulation furthest from the median (seed 8) ends +0.01 from it, with 4 shocks and 2 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 7.51 the model ends at 7.87, where the 2026 ratings put it at 7.43. Group scores miss by 1.31 points on average, against 0.89 for assuming nothing changed (skill −0.48); the change in each domain has the right sign in 44 per cent of domains. Furthest below history: trade and investment (−0.91); furthest above: human capital (+1.63) [experiment_against_history]. The starting position is reconstructed, so part of the error is the reconstruction's.