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
Mexico played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 9.67 to a median of 8.21 (−1.45), with 90 per cent of simulations between 8.20 and 8.22 [experiment_objectives].
Starting position
In 1996 the nation ranks 49 on the index against the frozen field, holds 0 of nine domains at Tier 1 and has a tier rank of 56. Its base income is 251 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.
What was decided
A simulation spent a median of 990 credits on moves. The five groups that took most were Social Infrastructure (build, 104 credits, 10.5 per cent); Population Health (build, 104 credits, 10.5 per cent); Energy Infrastructure (build, 102 credits, 10.3 per cent); Internal Security & Order (build, 102 credits, 10.3 per cent); Resource Infrastructure (build, 69 credits, 6.9 per cent) [experiment_decisions_by_group]. By mode: build 79 per cent, partner 21 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.072, and the most repeated action appeared in 47 per cent of rounds.
The leading domain by period: rounds 1 to 5, Financial Strength; rounds 6 to 10, Human Capital; 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 7 shocks and 0 upside events. The most damaging per firing were S10 (60 firings in 30 simulations, −27.2 points each); S01 (30 firings in 30 simulations, −20.8 points each); S02 (60 firings in 30 simulations, −16.4 points each) [experiment_shocks].
The groups that lost most to shocks, per simulation: Fiscal Capacity & Public Finance −3.96; Labour & Employment −3.54; Monetary & Currency Capability −3.40; Trade Facilitation & Logistics −3.31 [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 (−0.45 points); Fiscal Capacity & Public Finance to Transport Infrastructure (−0.39 points) [experiment_propagation_by_edge].
Where it ended
At 2026 the median rank is 64 (5th to 95th percentile 64 to 64), the median count of Tier 1 domains 0 (0 to 0) and the median tier rank 47; the resilient score, the mean score sum over simulations, is 592 [experiment_objectives].
Why
Without shocks the index ends +2.248 higher on average, so the shocks cost about 2.248 index points [experiment_probe_attribution].
Holding instead of following this method changes the index by −0.791: 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 −0.007 and −0.004, for example 2019 build Social Infrastructure (11 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 +0.659 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: 4 tiers (30 simulations above 2).
retired_words (warn): e4-mex/report.md: 'simulations' 1 time(s), first near line 38; use 'simulations'.
The simulation furthest from the median (seed 15) ends −0.02 from it, with 7 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 9.67 the model ends at 8.21, where the 2026 ratings put it at 10.85. Group scores miss by 2.78 points on average, against 1.31 for assuming nothing changed (skill −1.13); the change in each domain has the right sign in 0 per cent of domains. Furthest below history: financial strength (−4.47); furthest above: human capital (−0.85) [experiment_against_history]. The starting position is reconstructed, so part of the error is the reconstruction's.