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
Egypt played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 10.81 to a median of 9.74 (−1.07), with 90 per cent of simulations between 9.73 and 9.75 [experiment_objectives].
Starting position
In 1996 the nation ranks 37 on the index against the frozen field, holds 0 of nine domains at Tier 1 and has a tier rank of 29. Its base income is 350 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.
What was decided
A simulation spent a median of 1,696 credits on moves. The five groups that took most were Energy Infrastructure (build, 179 credits, 10.6 per cent); Transport Infrastructure (build, 179 credits, 10.6 per cent); Communications & Digital Infrastructure (build, 176 credits, 10.4 per cent); Social Infrastructure (build, 121 credits, 7.2 per cent); Water, Sanitation & Waste Infrastructure (build, 121 credits, 7.2 per cent) [experiment_decisions_by_group]. By mode: build 86 per cent, partner 14 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.070, and the most repeated action appeared in 50 per cent of rounds.
The leading domain by period: rounds 1 to 5, Financial Strength; rounds 6 to 10, Trade & Investment; rounds 11 to 15, Trade & Investment; rounds 16 to 20, Strategic Infrastructure; rounds 21 to 25, Strategic Infrastructure; rounds 26 to 30, Human Capital [experiment_spend_by_period].
What the world did
A median simulation saw 7 shocks and 1 upside events. The most damaging per firing were S06 (30 firings in 30 simulations, −31.8 points each); S05 (60 firings in 30 simulations, −30.7 points each); S03 (30 firings in 30 simulations, −15.5 points each) [experiment_shocks]. Upside events fired 30 times across all simulations [experiment_shocks].
The groups that lost most to shocks, per simulation: Fiscal Capacity & Public Finance −4.66; Monetary & Currency Capability −4.63; Information Environment & Strategic Communication −3.56; Investment Attraction & Projection −3.21 [experiment_shock_damage_by_group].
The edges that carried most change through the graph, per simulation: Fiscal Capacity & Public Finance to Force Generation & Mobilisation (−0.22 points); Fiscal Capacity & Public Finance to Social Infrastructure (−0.20 points); Communications & Digital Infrastructure to Digital & Services Trade (+0.71 points) [experiment_propagation_by_edge].
Where it ended
At 2026 the median rank is 49 (5th to 95th percentile 49 to 49), 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 704 [experiment_objectives].
Tier 1 probability changed most in: strategic infrastructure (0 to 100 per cent of simulations) [experiment_tiers_by_round].
Why
Without shocks the index ends +2.433 higher on average, so the shocks cost about 2.433 index points [experiment_probe_attribution].
Holding instead of following this method changes the index by −1.377: 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 −0.013 and −0.006, for example 2014 build Transport Infrastructure (18 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 +0.694 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-egy/report.md: 'simulations' 1 time(s), first near line 39; use 'simulations'.
The simulation furthest from the median (seed 28) ends −0.01 from it, with 7 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 10.81 the model ends at 9.74, where the 2026 ratings put it at 8.98. Group scores miss by 1.86 points on average, against 1.89 for assuming nothing changed (skill +0.02); the change in each domain has the right sign in 67 per cent of domains. Furthest below history: critical technology (−0.99); furthest above: governance and integrity (+2.34) [experiment_against_history]. The starting position is reconstructed, so part of the error is the reconstruction's.