E4 · cycle-002.e4-qat

Qatar, scripted, 30 years from 1996

30 simulations of 30 rounds from the 1996 position. Qatar decides by the scripted method; scripted events: Global funding seizure in year 12, Global funding seizure in year 18, Trade bloc rupture in year 21, Severe pandemic in year 24, Regional war spillover in year 27.

Model 0.1.0 · graph 0.2.0 · parameters 0.1.0 · seeds 1–30 · elasticity sampled within each bracket

The same configuration in other cycles: cycle 3.

Every simulation · Compare with another experiment · More experiments like this

Not a forecast
Simulations of a structural model with seed parameter values, to compare methods and test the model. Other nations stay at their 2026 ratings throughout.

Outcome across simulations

The median at 2026, with the 10th to the 90th percentile of the 30 simulations under it.

Capability index
9.51 (−0.15)
From 9.65; 9.49 to 9.52
Rank by index
52
From 50; 52 to 52
Domains at Tier 1
1
From 0; 1 to 1
Tier rank
19
From 45; 19 to 19

Capability index by round

Rank by index, by round

Every objective at the position and at the horizon
Objective199610th percentileMedian90th percentileBetter
Capability indexprimary9.659.499.519.52higher
Rank by index50525252lower
Tier rank45191919lower
Domains at Tier 10111higher
Score sum680.7677.0677.8678.7higher
Goal-weighted score680.7677.0677.8678.7higher
Resilient score680.7677.8 (mean score sum over the simulations)higher

The capability index is the mean of the three dimensions, each the mean of its domains, each the mean of its groups. Tiers are Pareto layers within each domain; the tier rank orders nations by domains held at Tier 1, then Tier 2, and so on. The goal-weighted score is the score sum unless the experiment sets a goal. The primary objective is the one the experiment is judged on; every other objective is reported beside it.

Credits

What each round’s credits went on in the median simulation. Across all simulations, build took 92 per cent, buy took 3 per cent, partner took 6 per cent of the 1,679 credits a simulation spent on actions.

Against history

Started from a reconstructed 1996 position and played along the pathway and shocks Qatar actually had, then scored against the 2026 ratings. The position is an estimate, so part of any error is the reconstruction's. The calibration summary across all fifty nations is on the cycle's page under Loop.

Index 1996
9.65
reconstructed
Observed 2026
9.39
the Index's rating
Simulated 2026
9.51
9.45 to 9.56
Skill against persistence
−0.39
group error 1.96 against 1.41 if nothing changed
Domain1996ObservedSimulatedBiasDirection
Critical Technology4.042.913.26 3.2–3.3+0.35right
Strategic Infrastructure11.1611.2613.48 13.4–13.5+2.22wrong
National Security6.197.235.67 5.6–5.7−1.56wrong
Human Capital10.3311.0811.75 11.7–11.8+0.67right
Information & Influence9.7511.0110.29 10.2–10.4−0.72right
Governance & Integrity10.428.7710.27 10.2–10.3+1.50wrong
Financial Strength12.7512.4511.72 11.7–11.8−0.72right
Production & Innovation10.348.879.16 9.1–9.2+0.29right
Trade & Investment11.8710.969.95 9.9–10.0−1.01right

The history it was played under: shocks and events

  • 2008 · S02 × 0.5 The global financial crisis strained Qatari banks and real estate and cut hydrocarbon revenues, prompting state support for local institutions.
  • 2014 · S02 × 0.4 The oil price collapse reduced government revenue and forced spending restraint, though Qatar's gas contracts and reserves cushioned the shock.
  • 2017 · S01 × 1 Saudi Arabia, the UAE, Bahrain and Egypt cut diplomatic and transport ties, closing the sole land border and regional airspace and forcing rapid supply-chain rerouting.
  • 2020 · S10 × 0.6 COVID-19 overwhelmed parts of the health system, especially among migrant workers, and forced World Cup-related construction and service disruptions.
  • 2023 · S03 × 0.3 Red Sea shipping attacks from the Gaza war spillover raised insurance and forced some Qatari LNG shipments around the Cape.

The pathway: what it prioritised, period by period

  • 1997–2005 · build · 5% each The new emir consolidated LNG expansion, built state institutions and launched Al Jazeera as a strategic media voice. (Resource Infrastructure, Energy Infrastructure, Financial Infrastructure, Government Effectiveness & Public Administration, Information Environment & Strategic Communication)
  • 2001–2010 · build · 5% each Education City, Qatar Foundation and foreign campuses grew alongside sovereign wealth accumulation and mediation diplomacy. (Advanced Education, Research Talent & Knowledge Creation, Social Infrastructure, Sovereign Capital & External Financial Power, Diplomatic Statecraft & Global Networks)
  • 2004–2013 · build · 5% each Infrastructure for the Asian Games and early World Cup bid expanded Doha's transport, health, water and digital backbone. (Transport Infrastructure, Health System Capability, Social Infrastructure, Water, Sanitation & Waste Infrastructure, Communications & Digital Infrastructure)
  • 2008–2015 · buy · 2% each Qatar bought advanced Western air-defence and combat aircraft and deepened basing and training ties with the US-led coalition. (Alliances & Security Cooperation, Air Power, Strategic Strike & Missile Defence, Intelligence & Assessment, Force Generation & Mobilisation)
  • 2010–2022 · build · 5% each World Cup preparation built metro, airport, port, stadiums and utilities on an accelerated timetable. (Transport Infrastructure, Social Infrastructure, Water, Sanitation & Waste Infrastructure, Energy Infrastructure, Financial Infrastructure)
  • 2017–2022 · build · 5% each The blockade compelled rapid domestic food, logistics and import-substitution capacity and new trade corridors. (Agriculture & Food Infrastructure, Industrial & Sectoral Base, Trade Facilitation & Logistics, National Resilience & Crisis Management, Export Capability & Sophistication)
  • 2018–2026 · partner · 2% each Qatar partnered on smart-government, AI and cybersecurity while expanding North Field LNG and adding solar capacity. (Digital & AI Competence, Connectivity, Cyber & Trust Technologies, Innovation & Commercialisation, Energy Technologies, Resource Infrastructure)

Reconstruction notes (deepseek-v4-pro): The main uncertainty is Qatar's small base and rapid wealth-driven modernisation: scores for research, advanced education and health are inferred from spending rather than outcome data. The blockade period is well documented but its long-term institutional effects on food security and trade remain contested. National security scores are approximate because Qatar's force is small, bought rather than generated domestically, and much capability sits with US basing and partnership.

Report

Written from the simulation record by the loop's narrator. Every figure names the query it came from, in square brackets.

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.

What each decision and shock was worth

Counterfactual probes on the first 10 seeds: the same simulations with one thing changed, paired seed by seed. A removed decision or shock is taken out and the other decisions replayed unchanged, so the difference is that item's worth.

ProbeIndexScore sumTier 1For example
Hold instead of the method−1.255−94.8−1.00
No shocks+1.233+85.70.00
Replay of the recorded actions (must change nothing)0.0000.00.00
Without the 1st largest decision+0.008+0.20.002009 build Advanced Education (14 credits)
Without the 2nd largest decision+0.005−0.10.002009 build Research Talent & Knowledge Creation (14 credits)
Without the 3rd largest decision+0.021+1.20.002009 build Social Infrastructure (14 credits)
Without the 4th largest decision+0.005+0.30.002009 build Sovereign Capital & External Financial Power (14 credits)
Without the 5th largest decision+0.007+0.20.002008 build Advanced Education (14 credits)
Without the 1st largest shock+0.522+36.50.002017 S01 (-31.3 points)
Without the 2nd largest shock+0.279+19.60.002020 S10 (-17.7 points)
Without the 3rd largest shock+0.212+15.30.002023 S03 (-14.9 points)

Simulations

Three simulations told round by round, each on its own page: the one nearest the median index at the horizon, and those nearest the 10th and the 90th percentile. Every one of the 30 is listed with its outcome on the simulations page.

All 30 simulations

Events

How often each shock and upside event began across the simulations. Shocks come from the ten downside scenarios and upside events from the ten upside ones, at their yearly likelihood.

Event
Kind
Simulations
Mean round
Points
Trade bloc rupture S01Shock100 per cent21.0−31.3
Global funding seizure S02Shock100 per cent15.0−7.4
Regional war spillover S03Shock100 per cent27.0−14.9
Severe pandemic S10Shock100 per cent24.0−17.8

Groups across simulations

Every capability group: its position, and its median and spread at the horizon across the simulations, with what the method spent on it.

73 of 73 groups

Capability group
Domain
1996
2026
Change
Levels invested
Credits
Advanced EducationHuman Capital10.1017.27 17.24 to 17.28+7.177.57130
Research Talent & Knowledge CreationHuman Capital7.7213.67 13.41 to 13.88+5.955.4896
Social InfrastructureStrategic Infrastructure12.6818.60 18.56 to 18.68+5.926.64216
Transport InfrastructureStrategic Infrastructure12.1917.14 17.09 to 17.18+4.955.76155
Financial InfrastructureStrategic Infrastructure13.6318.31 18.22 to 18.37+4.685.63122
Information Environment & Strategic CommunicationInformation & Influence11.4315.63 15.60 to 15.65+4.205.33122
Energy InfrastructureStrategic Infrastructure11.8115.93 15.88 to 15.99+4.125.00152
Government Effectiveness & Public AdministrationGovernance & Integrity13.2717.08 16.97 to 17.19+3.814.43122
Water, Sanitation & Waste InfrastructureStrategic Infrastructure12.9716.25 16.18 to 16.32+3.283.79102
Resource InfrastructureStrategic Infrastructure14.5717.53 17.48 to 17.60+2.963.95141
Sovereign Capital & External Financial PowerFinancial Strength11.9714.66 14.62 to 14.72+2.693.8888
Diplomatic Statecraft & Global NetworksInformation & Influence9.9311.92 11.88 to 11.96+1.993.3759
Digital & AI CompetenceHuman Capital9.4010.39 10.27 to 10.46+0.991.0919
Health System CapabilityHuman Capital13.2814.27 14.18 to 14.37+0.991.6740
Connectivity, Cyber & Trust TechnologiesCritical Technology5.166.04 5.98 to 6.09+0.881.8219
Energy TechnologiesCritical Technology6.897.58 7.42 to 7.67+0.691.3019
Innovation & CommercialisationProduction & Innovation6.677.34 7.09 to 7.44+0.671.2519
Nuclear DeterrenceNational Security0.000.00 0.00 to 0.000.000.000
Air PowerNational Security7.437.33 7.30 to 7.35−0.100.7111
Intelligence & AssessmentNational Security7.177.04 7.02 to 7.07−0.130.6111
Force Generation & MobilisationNational Security8.548.40 8.36 to 8.44−0.140.6511
Alliances & Security CooperationInformation & Influence13.4113.10 13.03 to 13.16−0.310.4411
Foundational EducationHuman Capital9.899.50 9.37 to 9.59−0.390.000
Early Childhood DevelopmentHuman Capital11.5611.15 11.11 to 11.19−0.410.000
Population HealthHuman Capital13.3812.97 12.94 to 13.04−0.410.000
Strategic Strike & Missile DefenceNational Security5.705.23 5.13 to 5.30−0.470.7911
Culture, Language & Education DiplomacyInformation & Influence8.858.37 8.12 to 8.56−0.480.000
Agriculture & Food InfrastructureStrategic Infrastructure7.336.80 6.75 to 6.85−0.530.000
Technical & Vocational SkillsHuman Capital8.578.02 8.02 to 8.03−0.550.000
Communications & Digital InfrastructureStrategic Infrastructure13.1612.60 12.56 to 12.64−0.560.204
National Resilience & Crisis ManagementGovernance & Integrity12.4211.86 11.74 to 11.96−0.560.000
Lifelong Learning & ReskillingHuman Capital9.098.52 8.51 to 8.54−0.570.000
Public Integrity & Anti-CorruptionGovernance & Integrity11.0610.42 10.40 to 10.46−0.640.000
Political Institutions & Civic ParticipationGovernance & Integrity6.365.66 5.64 to 5.67−0.700.000
Quantum TechnologiesCritical Technology2.902.19 2.04 to 2.31−0.710.000
Advanced ManufacturingStrategic Infrastructure7.797.07 6.98 to 7.16−0.720.000
Land PowerNational Security7.736.99 6.98 to 7.03−0.740.000
Justice System & Fundamental RightsGovernance & Integrity8.798.04 8.02 to 8.05−0.750.000
Internal Security & OrderGovernance & Integrity12.3311.58 11.55 to 11.60−0.750.000
Transparency, Oversight & AccountabilityGovernance & Integrity8.507.75 7.74 to 7.77−0.750.000
Cyber & Electromagnetic OperationsNational Security7.536.77 6.74 to 6.80−0.760.000
Joint Command, Projection & SustainmentNational Security7.696.82 6.78 to 6.85−0.870.000
Regulatory Governance & Strategic ControlsGovernance & Integrity10.639.76 9.74 to 9.79−0.870.000
Space, Aerospace & Defence InfrastructureStrategic Infrastructure5.464.56 4.54 to 4.60−0.900.000
Maritime PowerNational Security5.544.57 4.56 to 4.58−0.970.000
Diaspora & Global CommunitiesInformation & Influence7.286.31 6.29 to 6.36−0.970.000
Space OperationsNational Security4.583.54 3.45 to 3.60−1.040.000
Space TechnologiesCritical Technology1.780.67 0.65 to 0.68−1.110.000
Biotechnology & Health TechnologiesCritical Technology6.795.64 5.47 to 5.86−1.150.000
Artificial IntelligenceCritical Technology5.434.25 4.14 to 4.35−1.180.000
Sensing, Timing & NavigationCritical Technology2.811.62 1.56 to 1.68−1.190.000
Development Cooperation & Global AssistanceInformation & Influence7.616.42 6.39 to 6.45−1.190.000
Robotics & Autonomous SystemsCritical Technology3.952.75 2.73 to 2.77−1.200.000
Trade Facilitation & LogisticsTrade & Investment12.6611.40 11.23 to 11.58−1.260.000
Technology Adoption & DiffusionProduction & Innovation11.6710.37 10.35 to 10.39−1.300.000
Semiconductors & Advanced ComputingCritical Technology1.390.00 0.00 to 0.00−1.390.000
Advanced Materials & ManufacturingCritical Technology3.321.91 1.82 to 1.97−1.410.000
Business Dynamism & EntrepreneurshipProduction & Innovation9.077.65 7.62 to 7.69−1.420.000
Structural Transformation & ComplexityProduction & Innovation9.207.74 7.71 to 7.77−1.460.000
Industrial & Sectoral BaseProduction & Innovation11.5110.04 9.94 to 10.12−1.470.000
Financial System Depth & AccessFinancial Strength11.369.87 9.83 to 9.91−1.490.000
Economic Output & ProductivityProduction & Innovation13.9012.39 12.36 to 12.44−1.510.000
Financial Regulation & IntegrityFinancial Strength11.7110.20 10.16 to 10.25−1.510.000
Digital & Services TradeTrade & Investment10.238.70 8.68 to 8.71−1.530.000
Financial Stability & Crisis ManagementFinancial Strength12.8411.19 11.13 to 11.23−1.650.000
Labour & EmploymentProduction & Innovation10.378.56 8.54 to 8.61−1.810.000
Trade Policy & Market AccessTrade & Investment12.5310.68 10.62 to 10.79−1.850.000
Investment Attraction & ProjectionTrade & Investment11.929.99 9.97 to 10.01−1.930.000
Fiscal Capacity & Public FinanceFinancial Strength15.8313.79 13.71 to 13.87−2.040.000
Monetary & Currency CapabilityFinancial Strength12.7910.62 10.57 to 10.66−2.170.000
Global Value Chain PositionTrade & Investment11.969.79 9.77 to 9.82−2.170.000
Export Capability & SophisticationTrade & Investment11.649.36 9.32 to 9.40−2.280.000
Economic Leverage & DependenceTrade & Investment12.159.73 9.65 to 9.82−2.420.000

Checks

The automated checks run on this experiment before anything was written about it. A warning is a candidate finding for the improvement loop.

  • passcredits_conservedlargest gap between credits in and credits accounted for: 2.8e-14
  • passscores_in_boundsscores range 0.000 to 19.162
  • passno_nans0 missing values in the trajectory and objectives
  • passprobe_replay_reproducesthe recorded moves played back reproduce the simulation to within 0.0e+00 points (10 simulations)
  • passledger_balancesthe edge ledger sums to the propagated change to within 1.1e-06 points
  • passmove_without_shocklargest one-year move in a group with no shock landing: 0.83 points; 0% of simulations have one above 3
  • warntier_jumplargest gain in one domain within five years: 4 tiers (30 simulations above 2)
  • passall_tier1_from_outside_top10starting rank 50; 0 simulations reach Tier 1 in all nine domains
  • passsaturation_high0% of simulations end with a group at 20 that did not start there (median 0 groups)
  • warnsaturation_low100% of simulations end with a group at 0 that did not start there (median 1 groups)
  • passspend_concentrationmedian concentration of spending across groups (HHI) 0.074; most funded group hard.strategic_infrastructure.social_infrastructure
  • passsame_actionthe most repeated move (group and mode) appears in a median 60% of rounds

Settings and versions

Experiment cycle-002.e4-qat. Every simulation records the model, graph and parameter versions, the scenario, the method and its seed, so it can be reproduced exactly.

Nation
Qatar (QAT)
Position
A reconstructed 1996 position, aligned to the Index's scale
Method
Scripted. Actions fixed in advance by the experiment: for a backcast, the nation's historical pathway.
Scenario
Scripted events: Global funding seizure in year 12, Global funding seizure in year 18, Trade bloc rupture in year 21, Severe pandemic in year 24, Regional war spillover in year 27
Objective
Capability index, the primary objective the experiment is judged on; every other objective is reported beside it
Horizon
30 rounds, 1996 to 2026
Simulations
30 seeds, 1 to 30. Every method in the batch faces the same draws for the same seed.
Graph elasticities
Drawn for each simulation, uniformly within each edge’s bracket
Income
Base credits 270.8 a round, moving with the economic groups
Versions
Model 0.1.0, Capability Dependency Graph 0.2.0, parameters 0.1.0
Batch
Backcast 1996-2026 (cycle-002), cycle 2 of the improvement loop
Runtime
4.4 seconds in all; 996 microseconds a round
Not a forecast
Every figure is a distribution over the simulations of a structural model, reported to compare methods and test the model. None is a prediction of what a nation will do or become.
Structural parameters
Costs, decay, vulnerability and credits are structural seed values with low or medium confidence, set by domain with single-group exceptions. Five groups have no defensible value in a single-nation model and are flagged in the parameter tables.
Other nations are frozen
One nation is simulated at a time. Every other nation stays at its 2026 rating, so rank and tiers are measured against a still field; where the simulated nation rises past others their own tiers are not re-sorted.
Starting depth and mode are defaults
The position is the National Capability Index ratings. How institutionalised each capability is, and how much was built, bought or partnered, have no data behind them yet and start from structural defaults.
Credits are calibrated, not measured
Each nation’s income is set so that its position is affordable with headroom that rises with its fiscal capacity. It is not yet fiscal capacity as a share of GDP.