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
Qatar played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 9.65 to a median of 9.50 (−0.15), with 90 per cent of simulations between 9.49 and 9.52 [experiment_objectives].
Starting position
In 1996 the nation ranks 50 on the index against the frozen field, holds 0 of nine domains at Tier 1 and has a tier rank of 45. Its base income is 271 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.
What was decided
A simulation spent a median of 1,678 credits on moves. The five groups that took most were Social Infrastructure (build, 216 credits, 12.9 per cent); Transport Infrastructure (build, 155 credits, 9.2 per cent); Energy Infrastructure (build, 152 credits, 9.0 per cent); Advanced Education (build, 130 credits, 7.7 per cent); Financial Infrastructure (build, 122 credits, 7.3 per cent) [experiment_decisions_by_group]. By mode: build 92 per cent, partner 6 per cent, buy 3 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.074, and the most repeated action appeared in 60 per cent of rounds.
The leading domain by period: rounds 1 to 5, Strategic Infrastructure; rounds 6 to 10, Strategic Infrastructure; rounds 11 to 15, Human Capital; 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 5 shocks and 0 upside events. The most damaging per firing were S01 (30 firings in 30 simulations, −31.3 points each); S10 (30 firings in 30 simulations, −17.8 points each); S03 (30 firings in 30 simulations, −14.9 points each) [experiment_shocks].
The groups that lost most to shocks, per simulation: Economic Leverage & Dependence −2.27; Export Capability & Sophistication −2.03; Monetary & Currency Capability −2.03; Trade Facilitation & Logistics −2.02 [experiment_shock_damage_by_group].
The edges that carried most change through the graph, per simulation: Advanced Education to Research Talent & Knowledge Creation (+0.92 points); Research Talent & Knowledge Creation to Innovation & Commercialisation (+0.75 points); Research Talent & Knowledge Creation to Biotechnology & Health Technologies (+0.69 points) [experiment_propagation_by_edge].
Where it ended
At 2026 the median rank is 52 (5th to 95th percentile 52 to 52), 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 678 [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 +1.233 higher on average, so the shocks cost about 1.233 index points [experiment_probe_attribution].
Holding instead of following this method changes the index by −1.255: 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 +0.021, for example 2009 build Advanced Education (14 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 +0.522 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).
saturation_low (warn): 100% of simulations end with a group at 0 that did not start there (median 1 groups).
retired_words (warn): e4-qat/report.md: 'simulations' 2 time(s), first near line 39; use 'simulations'.
The simulation furthest from the median (seed 7) ends +0.02 from it, with 5 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 9.65 the model ends at 9.51, where the 2026 ratings put it at 9.39. Group scores miss by 1.96 points on average, against 1.41 for assuming nothing changed (skill −0.39); the change in each domain has the right sign in 67 per cent of domains. Furthest below history: national security (−1.56); furthest above: strategic infrastructure (+2.22) [experiment_against_history]. The starting position is reconstructed, so part of the error is the reconstruction's.