E4 · cycle-003.e4-nga

Nigeria, scripted, 30 years from 1996

30 simulations of 30 rounds from the 1996 position. Nigeria decides by the scripted method; scripted events: Debt service reset in year 9, Breadbasket failure in year 12, Regional war spillover in year 13, Outbreak defence succeeds in year 18, Global funding seizure in year 19, Severe pandemic in year 24.

Model 0.2.0 · graph 0.2.0 · parameters 0.1.1 · seeds 1–30 · elasticity sampled within each bracket

The same configuration in other cycles: cycle 2.

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
7.87 (+0.36)
From 7.51; 7.87 to 7.88
Rank by index
70
From 73; 70 to 70
Domains at Tier 1
0
From 0; 0 to 0
Tier rank
49
From 70; 49 to 49

Capability index by round

Rank by index, by round

Every objective at the position and at the horizon
Objective199610th percentileMedian90th percentileBetter
Capability indexprimary7.517.877.877.88higher
Rank by index73707070lower
Tier rank70494949lower
Domains at Tier 10000higher
Score sum535.7564.9565.4565.9higher
Goal-weighted score535.7564.9565.4565.9higher
Resilient score535.7565.4 (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 87 per cent, buy took 0 per cent, partner took 13 per cent of the 1,476 credits a simulation spent on actions.

Against history

Started from a reconstructed 1996 position and played along the pathway and shocks Nigeria 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
7.51
reconstructed
Observed 2026
7.43
the Index's rating
Simulated 2026
7.87
7.83 to 7.91
Skill against persistence
−0.48
group error 1.31 against 0.89 if nothing changed
Domain1996ObservedSimulatedBiasDirection
Critical Technology3.843.363.67 3.7–3.7+0.31wrong
Strategic Infrastructure8.338.8410.37 10.3–10.4+1.53right
National Security6.716.426.60 6.6–6.6+0.18wrong
Human Capital7.946.628.24 8.2–8.3+1.63wrong
Information & Influence9.259.539.60 9.6–9.6+0.08right
Governance & Integrity7.347.959.46 9.4–9.5+1.51right
Financial Strength8.278.558.76 8.7–8.8+0.21right
Production & Innovation7.677.466.93 6.9–7.0−0.53wrong
Trade & Investment8.278.117.20 7.2–7.3−0.91wrong

The history it was played under: shocks and events

  • 2005 · S11 × 0.9 The Paris Club agreement cancelled roughly US$18 billion of Nigerian debt after arrears clearance, releasing fiscal space.
  • 2008 · S06 × 0.6 The global food price spike hit import-dependent urban Nigeria, triggering food price protests and higher food insecurity.
  • 2009 · S03 × 0.8 The Boko Haram insurgency erupted in north-eastern Nigeria and the Lake Chad basin, displacing millions and disrupting regional trade and agriculture.
  • 2014 · S20 × 0.7 Nigeria's rapid contact tracing and isolation contained Ebola after an imported case in Lagos, limiting the outbreak to a handful of deaths.
  • 2015 · S02 × 0.7 The oil price crash and external financing squeeze pushed Nigeria into a fiscal crisis and recession, straining sovereign balance sheets.
  • 2020 · S10 × 0.8 The COVID-19 pandemic caused a deep economic contraction and strained Nigeria's weak health system, though mortality was less severe than initially feared.

The pathway: what it prioritised, period by period

  • 1997–1999 · build · 5% each Abacha's military regime concentrated resources on oil revenue, internal security and armed forces, while preparing the Vision 2010 economic blueprint. (Resource Infrastructure, Force Generation & Mobilisation, Internal Security & Order, Information Environment & Strategic Communication, Fiscal Capacity & Public Finance)
  • 1999–2003 · partner · 5% each Obasanjo's return to democracy brought GSM licensing and privatisation, early anti-corruption bodies, and fiscal stabilisation efforts. (Political Institutions & Civic Participation, Communications & Digital Infrastructure, Public Integrity & Anti-Corruption, Fiscal Capacity & Public Finance, Financial System Depth & Access)
  • 2003–2007 · build · 5% each Banking consolidation under Soludo and the pursuit of Paris Club debt relief dominated Obasanjo's second term, alongside oil and gas and power reform ambitions. (Financial Regulation & Integrity, Resource Infrastructure, Energy Infrastructure, Government Effectiveness & Public Administration, Diplomatic Statecraft & Global Networks)
  • 2007–2011 · build · 5% each Yar'Adua's Niger Delta amnesty and power sector roadmap sought to reduce militant disruption and improve electricity supply. (Internal Security & Order, Energy Infrastructure, Political Institutions & Civic Participation, Resource Infrastructure, Agriculture & Food Infrastructure)
  • 2011–2015 · build · 5% each Jonathan's Agricultural Transformation Agenda and support for the creative and digital sectors expanded food production and global cultural visibility. (Agriculture & Food Infrastructure, Communications & Digital Infrastructure, Culture, Language & Education Diplomacy, Energy Infrastructure, Foundational Education)
  • 2015–2019 · build · 5% each Buhari's first term prioritised the war against Boko Haram, anti-corruption enforcement, and new rail and road infrastructure. (Force Generation & Mobilisation, Internal Security & Order, Public Integrity & Anti-Corruption, Transport Infrastructure, Agriculture & Food Infrastructure)
  • 2019–2023 · build · 5% each Buhari's second term continued rail and road modernisation, advanced the digital economy agenda, and expanded social investment programmes. (Transport Infrastructure, Communications & Digital Infrastructure, Population Health, Fiscal Capacity & Public Finance, Resource Infrastructure)
  • 2023–2026 · build · 5% each Tinubu removed fuel subsidies, floated the naira, and pursued tax and investment reforms to stabilise public finances and attract capital. (Fiscal Capacity & Public Finance, Monetary & Currency Capability, Resource Infrastructure, Social Infrastructure, Trade Policy & Market Access)

Reconstruction notes (deepseek-v4-pro): The main uncertainty is the precise 1996 capability position because Nigeria was under military rule with weak statistical systems, so several scores rely on qualitative judgement. The mapping of the Boko Haram insurgency to the event library is approximate, as the library has no exact internal conflict event; its regional spillover effects are used as the nearest equivalent. Retrospective policy priorities are reconstructed from public budgets and strategies, but actual resource shares were often opaque and implementation uneven.

Report

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

Batch cycle-003. Model 0.2.0, graph 0.2.0, parameters 0.1.1. 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

Nigeria played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 7.51 to a median of 7.87 (+0.36), with 90 per cent of simulations between 7.87 and 7.88 [experiment_objectives].

Starting position

In 1996 the nation ranks 73 on the index against the frozen field, holds 0 of nine domains at Tier 1 and has a tier rank of 70. Its base income is 191 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.

What was decided

A simulation spent a median of 1,477 credits on moves. The five groups that took most were Resource Infrastructure (build, 157 credits, 10.6 per cent); Energy Infrastructure (build, 141 credits, 9.5 per cent); Internal Security & Order (build, 125 credits, 8.5 per cent); Agriculture & Food Infrastructure (build, 96 credits, 6.5 per cent); Communications & Digital Infrastructure (build, 91 credits, 6.2 per cent) [experiment_decisions_by_group]. By mode: build 87 per cent, partner 13 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.065, and the most repeated action appeared in 50 per cent of rounds.

The leading domain by period: rounds 1 to 5, Governance & Integrity; rounds 6 to 10, Strategic Infrastructure; 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 4 shocks and 2 upside events. The most damaging per firing were S06 (30 firings in 30 simulations, −22.1 points each); S10 (30 firings in 30 simulations, −20.8 points each); S02 (30 firings in 30 simulations, −12.0 points each) [experiment_shocks]. Upside events fired 60 times across all simulations [experiment_shocks].

The groups that lost most to shocks, per simulation: Fiscal Capacity & Public Finance −2.73; Trade Facilitation & Logistics −2.16; Monetary & Currency Capability −1.79; Financial System Depth & Access −1.78 [experiment_shock_damage_by_group].

The edges that carried most change through the graph, per simulation: Fiscal Capacity & Public Finance to Force Generation & Mobilisation (+0.18 points); Fiscal Capacity & Public Finance to Social Infrastructure (+0.17 points); Energy Infrastructure to Advanced Manufacturing (+0.66 points) [experiment_propagation_by_edge].

Where it ended

At 2026 the median rank is 70 (5th to 95th percentile 70 to 70), the median count of Tier 1 domains 0 (0 to 0) and the median tier rank 49; the resilient score, the mean score sum over simulations, is 565 [experiment_objectives].

Why

Without shocks the index ends +1.079 higher on average, so the shocks cost about 1.079 index points [experiment_probe_attribution].

Holding instead of following this method changes the index by −1.178: 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 +0.005, for example 2009 build Internal Security & Order (12 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 +0.344 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

The simulation furthest from the median (seed 8) ends +0.01 from it, with 4 shocks and 2 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 7.51 the model ends at 7.87, where the 2026 ratings put it at 7.43. Group scores miss by 1.31 points on average, against 0.89 for assuming nothing changed (skill −0.48); the change in each domain has the right sign in 44 per cent of domains. Furthest below history: trade and investment (−0.91); furthest above: human capital (+1.63) [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−1.178−85.20.00
No shocks+1.079+74.20.00
Replay of the recorded actions (must change nothing)0.0000.00.00
Without the 1st largest decision+0.001−0.00.002009 build Internal Security & Order (12 credits)
Without the 2nd largest decision+0.003+0.00.002009 build Energy Infrastructure (12 credits)
Without the 3rd largest decision−0.005−0.40.002009 build Political Institutions & Civic Participation (12 credits)
Without the 4th largest decision+0.005+0.20.002009 build Resource Infrastructure (12 credits)
Without the 5th largest decision+0.005+0.20.002009 build Agriculture & Food Infrastructure (12 credits)
Without the 1st largest shock+0.344+23.80.002008 S06 (-22.1 points)
Without the 2nd largest shock+0.341+23.40.002020 S10 (-20.8 points)
Without the 3rd largest shock+0.247+16.40.002015 S02 (-12.0 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
Global funding seizure S02Shock100 per cent19.0−12.0
Regional war spillover S03Shock100 per cent13.0−10.6
Breadbasket failure S06Shock100 per cent12.0−22.1
Severe pandemic S10Shock100 per cent24.0−20.8
Debt service reset S11Upside100 per cent9.0+7.4
Outbreak defence succeeds S20Upside100 per cent18.0+13.1

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
Communications & Digital InfrastructureStrategic Infrastructure9.3215.07 15.06 to 15.09+5.756.39131
Energy InfrastructureStrategic Infrastructure6.1911.75 11.74 to 11.76+5.566.19141
Internal Security & OrderGovernance & Integrity7.8613.18 13.16 to 13.20+5.325.78125
Political Institutions & Civic ParticipationGovernance & Integrity5.0910.24 10.23 to 10.26+5.155.4196
Resource InfrastructureStrategic Infrastructure10.0114.07 14.02 to 14.12+4.064.83157
Public Integrity & Anti-CorruptionGovernance & Integrity7.4011.25 11.22 to 11.26+3.853.9880
Transport InfrastructureStrategic Infrastructure8.2311.16 11.12 to 11.21+2.933.3876
Agriculture & Food InfrastructureStrategic Infrastructure9.2612.02 12.00 to 12.04+2.763.7096
Foundational EducationHuman Capital8.4610.86 10.80 to 10.90+2.402.7640
Fiscal Capacity & Public FinanceFinancial Strength8.8611.24 11.17 to 11.29+2.384.69117
Culture, Language & Education DiplomacyInformation & Influence9.2611.37 11.30 to 11.46+2.112.7046
Government Effectiveness & Public AdministrationGovernance & Integrity9.4011.48 11.40 to 11.64+2.082.1744
Force Generation & MobilisationNational Security10.1111.98 11.94 to 12.02+1.872.1869
Population HealthHuman Capital7.088.74 8.73 to 8.75+1.662.3239
Financial Regulation & IntegrityFinancial Strength8.389.87 9.84 to 9.88+1.492.6652
Diplomatic Statecraft & Global NetworksInformation & Influence10.3511.48 11.45 to 11.50+1.132.3044
Financial System Depth & AccessFinancial Strength8.309.34 9.33 to 9.35+1.042.4438
Information Environment & Strategic CommunicationInformation & Influence7.498.42 8.41 to 8.43+0.931.7729
Social InfrastructureStrategic Infrastructure7.768.34 8.29 to 8.39+0.580.6728
Transparency, Oversight & AccountabilityGovernance & Integrity6.557.00 6.86 to 7.09+0.450.000
Justice System & Fundamental RightsGovernance & Integrity6.326.73 6.55 to 6.91+0.410.000
Digital & AI CompetenceHuman Capital8.088.22 8.13 to 8.37+0.140.000
Advanced ManufacturingStrategic Infrastructure8.588.71 8.49 to 8.93+0.130.000
Nuclear DeterrenceNational Security0.000.09 0.09 to 0.09+0.090.000
Semiconductors & Advanced ComputingCritical Technology1.391.43 1.43 to 1.43+0.040.000
Regulatory Governance & Strategic ControlsGovernance & Integrity7.207.18 7.17 to 7.20−0.020.000
Advanced EducationHuman Capital8.708.64 8.59 to 8.70−0.060.000
Sensing, Timing & NavigationCritical Technology2.812.70 2.70 to 2.70−0.110.000
Space TechnologiesCritical Technology2.952.83 2.83 to 2.83−0.120.000
Space, Aerospace & Defence InfrastructureStrategic Infrastructure5.465.32 5.30 to 5.33−0.140.000
Technical & Vocational SkillsHuman Capital7.517.37 7.33 to 7.39−0.140.000
Monetary & Currency CapabilityFinancial Strength8.728.58 8.50 to 8.62−0.141.1530
Quantum TechnologiesCritical Technology3.443.29 3.29 to 3.30−0.150.000
Connectivity, Cyber & Trust TechnologiesCritical Technology4.043.89 3.87 to 3.91−0.150.000
Artificial IntelligenceCritical Technology5.435.27 5.24 to 5.34−0.160.000
Advanced Materials & ManufacturingCritical Technology3.853.67 3.66 to 3.68−0.180.000
Robotics & Autonomous SystemsCritical Technology3.953.75 3.74 to 3.76−0.200.000
National Resilience & Crisis ManagementGovernance & Integrity8.868.64 8.59 to 8.69−0.220.000
Space OperationsNational Security3.983.76 3.76 to 3.77−0.220.000
Research Talent & Knowledge CreationHuman Capital7.337.10 7.09 to 7.11−0.230.000
Health System CapabilityHuman Capital8.147.90 7.88 to 7.93−0.240.000
Energy TechnologiesCritical Technology5.315.04 5.02 to 5.11−0.270.000
Lifelong Learning & ReskillingHuman Capital7.417.14 7.13 to 7.15−0.270.000
Industrial & Sectoral BaseProduction & Innovation8.388.10 7.96 to 8.25−0.280.000
Air PowerNational Security5.775.48 5.46 to 5.49−0.290.000
Land PowerNational Security10.4010.08 10.01 to 10.14−0.320.000
Strategic Strike & Missile DefenceNational Security4.514.16 4.16 to 4.17−0.350.000
Cyber & Electromagnetic OperationsNational Security6.345.98 5.98 to 5.99−0.360.000
Maritime PowerNational Security5.545.17 5.16 to 5.19−0.370.000
Biotechnology & Health TechnologiesCritical Technology5.204.81 4.81 to 4.82−0.390.000
Technology Adoption & DiffusionProduction & Innovation7.346.93 6.85 to 7.03−0.410.000
Water, Sanitation & Waste InfrastructureStrategic Infrastructure7.907.38 7.35 to 7.40−0.520.000
Early Childhood DevelopmentHuman Capital8.768.23 8.21 to 8.26−0.530.000
Intelligence & AssessmentNational Security9.148.60 8.59 to 8.61−0.540.000
Development Cooperation & Global AssistanceInformation & Influence7.617.04 7.00 to 7.07−0.570.000
Digital & Services TradeTrade & Investment8.217.62 7.50 to 7.73−0.590.000
Joint Command, Projection & SustainmentNational Security11.2810.65 10.62 to 10.69−0.630.000
Innovation & CommercialisationProduction & Innovation6.676.02 6.01 to 6.03−0.650.000
Business Dynamism & EntrepreneurshipProduction & Innovation7.707.03 7.00 to 7.05−0.670.000
Alliances & Security CooperationInformation & Influence11.2210.50 10.46 to 10.52−0.720.000
Financial InfrastructureStrategic Infrastructure10.619.88 9.83 to 9.92−0.730.000
Diaspora & Global CommunitiesInformation & Influence9.598.81 8.81 to 8.81−0.780.000
Sovereign Capital & External Financial PowerFinancial Strength7.246.46 6.44 to 6.51−0.780.000
Structural Transformation & ComplexityProduction & Innovation7.716.85 6.81 to 6.87−0.860.000
Export Capability & SophisticationTrade & Investment6.935.99 5.97 to 6.02−0.940.000
Economic Output & ProductivityProduction & Innovation8.227.26 7.22 to 7.29−0.960.000
Investment Attraction & ProjectionTrade & Investment7.596.55 6.52 to 6.59−1.040.000
Financial Stability & Crisis ManagementFinancial Strength8.147.10 7.06 to 7.13−1.040.000
Trade Policy & Market AccessTrade & Investment9.348.26 8.24 to 8.31−1.080.041
Global Value Chain PositionTrade & Investment8.257.12 7.10 to 7.15−1.130.000
Labour & EmploymentProduction & Innovation7.686.36 6.34 to 6.37−1.320.000
Trade Facilitation & LogisticsTrade & Investment8.146.79 6.74 to 6.88−1.350.000
Economic Leverage & DependenceTrade & Investment9.448.05 8.02 to 8.10−1.390.000

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 15.093
  • 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 1.3e-06 points
  • passmove_without_shocklargest one-year move in a group with no shock landing: 0.65 points; 0% of simulations have one above 3
  • passtier_jumplargest gain in one domain within five years: 4 tiers (30 simulations above 2); tiers are reported, not an objective
  • passall_tier1_from_outside_top10starting rank 73; 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)
  • passsaturation_low0% of simulations end with a group at 0 that did not start there (median 0 groups)
  • passspend_concentrationmedian concentration of spending across groups (HHI) 0.065; most funded group hard.strategic_infrastructure.resource_infrastructure
  • passsame_actionthe most repeated move (group and mode) appears in a median 50% of rounds
  • passregression_index_p50index_p50 moved 4.4% since cycle-002 (7.54 to 7.87); versions changed (0.1.0 to 0.1.1, graph 0.2.0 to 0.2.0)
  • passregression_score_sum_p50score_sum_p50 moved 4.5% since cycle-002 (540.81 to 565.39); versions changed (0.1.0 to 0.1.1, graph 0.2.0 to 0.2.0)

Settings and versions

Experiment cycle-003.e4-nga. Every simulation records the model, graph and parameter versions, the scenario, the method and its seed, so it can be reproduced exactly.

Nation
Nigeria (NGA)
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: Debt service reset in year 9, Breadbasket failure in year 12, Regional war spillover in year 13, Outbreak defence succeeds in year 18, Global funding seizure in year 19, Severe pandemic in year 24
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 191.3 a round, moving with the economic groups
Versions
Model 0.2.0, Capability Dependency Graph 0.2.0, parameters 0.1.1
Batch
Backcast 1996-2026 (cycle-003), cycle 3 of the improvement loop
Runtime
6.9 seconds in all; 1685 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.