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
Israel played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 15.14 to a median of 16.01 (+0.87), with 90 per cent of simulations between 15.99 and 16.03 [experiment_objectives].
Starting position
In 1996 the nation ranks 11 on the index against the frozen field, holds 2 of nine domains at Tier 1 and has a tier rank of 9. Its base income is 1,080 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.
What was decided
A simulation spent a median of 6,409 credits on moves. The five groups that took most were Connectivity, Cyber & Trust Technologies (partner, 356 credits, 5.5 per cent); Resource Infrastructure (partner, 356 credits, 5.5 per cent); Water, Sanitation & Waste Infrastructure (partner, 356 credits, 5.5 per cent); Energy Infrastructure (partner, 356 credits, 5.5 per cent); Energy Technologies (partner, 356 credits, 5.5 per cent) [experiment_decisions_by_group]. By mode: build 68 per cent, partner 28 per cent, buy 4 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.045, and the most repeated action appeared in 23 per cent of rounds.
The leading domain by period: rounds 1 to 5, Production & Innovation; rounds 6 to 10, National Security; rounds 11 to 15, National Security; rounds 16 to 20, Strategic Infrastructure; rounds 21 to 25, Critical Technology; rounds 26 to 30, National Security [experiment_spend_by_period].
What the world did
A median simulation saw 6 shocks and 1 upside events. The most damaging per firing were S10 (30 firings in 30 simulations, −18.7 points each); S03 (90 firings in 30 simulations, −15.5 points each); S02 (60 firings in 30 simulations, −6.6 points each) [experiment_shocks]. Upside events fired 30 times across all simulations [experiment_shocks].
The groups that lost most to shocks, per simulation: Trade Facilitation & Logistics −2.74; Economic Leverage & Dependence −2.42; Fiscal Capacity & Public Finance −2.29; Resource Infrastructure −1.85 [experiment_shock_damage_by_group].
The edges that carried most change through the graph, per simulation: Fiscal Capacity & Public Finance to Force Generation & Mobilisation (+0.99 points); Fiscal Capacity & Public Finance to Social Infrastructure (+0.91 points); Energy Infrastructure to Advanced Manufacturing (+0.95 points) [experiment_propagation_by_edge].
Where it ended
At 2026 the median rank is 6 (5th to 95th percentile 6 to 7), the median count of Tier 1 domains 7 (7 to 8) and the median tier rank 2; the resilient score, the mean score sum over simulations, is 1,180 [experiment_objectives].
Tier 1 probability changed most in: financial strength (0 to 100 per cent of simulations); governance and integrity (0 to 100 per cent of simulations); human capital (0 to 100 per cent of simulations); strategic infrastructure (0 to 100 per cent of simulations); trade and investment (0 to 100 per cent of simulations) [experiment_tiers_by_round].
Why
Without shocks the index ends +0.846 higher on average, so the shocks cost about 0.846 index points [experiment_probe_attribution].
Holding instead of following this method changes the index by −2.405: 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 −0.016 and +0.004, for example 2023 buy Strategic Strike & Missile Defence (61 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 +0.232 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
move_without_shock (warn): largest one-year move in a group with no shock landing: 3.48 points; 100% of simulations have one above 3.
tier_jump (warn): largest gain in one domain within five years: 4 tiers (30 simulations above 2).
saturation_high (warn): 100% of simulations end with a group at 20 that did not start there (median 5 groups).
retired_words (warn): e4-isr/report.md: 'simulations' 3 time(s), first near line 39; use 'simulations'.
The simulation furthest from the median (seed 23) ends −0.03 from it, with 6 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 15.14 the model ends at 16.01, where the 2026 ratings put it at 14.46. Group scores miss by 2.32 points on average, against 1.43 for assuming nothing changed (skill −0.63); the change in each domain has the right sign in 33 per cent of domains. Furthest below history: production and innovation (+0.36); furthest above: strategic infrastructure (+2.91) [experiment_against_history]. The starting position is reconstructed, so part of the error is the reconstruction's.