E4 · cycle-003.e4-eth

Ethiopia, scripted, 30 years from 1996

30 simulations of 30 rounds from the 1996 position. Ethiopia decides by the scripted method; scripted events: Regional war spillover in year 2, Breadbasket failure in year 6, Breadbasket failure in year 12, Breadbasket failure in year 15, Breadbasket failure in year 19, Severe pandemic in year 24, Regional war spillover in year 24, Clean power threshold in year 26, Debt service reset in year 27.

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
4.31 (−1.65)
From 5.96; 4.30 to 4.32
Rank by index
135
From 97; 135 to 135
Domains at Tier 1
0
From 0; 0 to 0
Tier rank
114
From 100; 114 to 114

Capability index by round

Rank by index, by round

Every objective at the position and at the horizon
Objective199610th percentileMedian90th percentileBetter
Capability indexprimary5.964.304.314.32higher
Rank by index97135135135lower
Tier rank100114114114lower
Domains at Tier 10000higher
Score sum425.3311.9312.5313.0higher
Goal-weighted score425.3311.9312.5313.0higher
Resilient score425.3312.5 (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 83 per cent, buy took 0 per cent, partner took 17 per cent of the 541 credits a simulation spent on actions.

Against history

Started from a reconstructed 1996 position and played along the pathway and shocks Ethiopia 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
5.96
reconstructed
Observed 2026
5.70
the Index's rating
Simulated 2026
4.31
4.26 to 4.35
Skill against persistence
−0.88
group error 1.42 against 0.76 if nothing changed
Domain1996ObservedSimulatedBiasDirection
Critical Technology2.482.101.95 1.9–2.0−0.15right
Strategic Infrastructure6.556.594.93 4.9–5.0−1.66wrong
National Security5.214.963.98 3.9–4.0−0.98right
Human Capital6.656.345.51 5.5–5.6−0.83right
Information & Influence6.707.304.44 4.4–4.5−2.86wrong
Governance & Integrity7.296.046.00 6.0–6.0−0.04right
Financial Strength6.815.624.07 4.0–4.1−1.55right
Production & Innovation5.705.964.10 4.1–4.1−1.87wrong
Trade & Investment6.256.333.79 3.8–3.8−2.54wrong

The history it was played under: shocks and events

  • 1998 · S03 × 0.7 The Eritrean war brought large-scale mobilisation, border fighting, aerial combat and a costly economic dislocation, but it did not close a major global sea route.
  • 2002 · S06 × 0.8 A severe drought produced crop failure and food insecurity for millions, though large-scale famine was partially averted by aid.
  • 2008 · S06 × 0.5 Global food price rises worsened food access for Ethiopia's poor and urban populations.
  • 2011 · S06 × 0.6 Horn of Africa drought affected Ethiopia's pastoral lowlands, raising hunger and displacement.
  • 2015 · S06 × 0.7 El Niño-induced drought caused widespread crop failure and livestock losses, leaving millions reliant on emergency food aid.
  • 2020 · S10 × 0.6 COVID-19 reached Ethiopia, disrupting exports, remittances and health services, though mortality was lower than in many countries.
  • 2020 · S03 × 0.9 The Tigray war escalated into an internal armed conflict with regional dimensions, mass displacement and severe humanitarian crisis.
  • 2022 · S15 × 0.5 The Grand Ethiopian Renaissance Dam began generating electricity, adding large-scale hydroelectric capacity to the grid.
  • 2023 · S11 × 0.4 Ethiopia advanced under the G20 Common Framework and IMF programme, though a full debt service reset remained incomplete.

The pathway: what it prioritised, period by period

  • 1997–2000 · build · 5% each The Eritrean war forced Ethiopia to mobilise and re-equip its army, diverting resources from development to national defence and internal security. (Land Power, Force Generation & Mobilisation, Air Power, Intelligence & Assessment, Internal Security & Order)
  • 1997–2005 · build · 2% each Under the EPRDF's developmental state, Ethiopia invested in agricultural extension, rural roads, basic education and primary health as part of poverty reduction. (Agriculture & Food Infrastructure, Transport Infrastructure, Foundational Education, Population Health, Water, Sanitation & Waste Infrastructure)
  • 2005–2010 · build · 2% each The Plan for Accelerated and Sustained Development to End Poverty prioritised roads, hydropower, telecoms expansion and skills development. (Transport Infrastructure, Energy Infrastructure, Communications & Digital Infrastructure, Agriculture & Food Infrastructure, Technical & Vocational Skills)
  • 2010–2015 · build · 5% each The first Growth and Transformation Plan and the launch of the Grand Ethiopian Renaissance Dam made large hydropower and infrastructure projects flagship national programmes. (Energy Infrastructure, Transport Infrastructure, Water, Sanitation & Waste Infrastructure, Industrial & Sectoral Base, Government Effectiveness & Public Administration)
  • 2015–2020 · partner · 2% each The second Growth and Transformation Plan promoted industrial parks, the Addis-Djibouti railway and export-oriented manufacturing, with heavy Chinese and Gulf financing. (Industrial & Sectoral Base, Transport Infrastructure, Communications & Digital Infrastructure, Trade Facilitation & Logistics, Export Capability & Sophistication)
  • 2020–2022 · build · 5% each The COVID-19 pandemic and the Tigray war forced emergency spending on health, humanitarian response and internal security. (National Resilience & Crisis Management, Health System Capability, Population Health, Land Power, Internal Security & Order)
  • 2023–2026 · partner · 2% each Post-conflict recovery, GERD completion, IMF debt-restructuring and digital sector liberalisation dominate the current period. (Fiscal Capacity & Public Finance, Energy Infrastructure, Communications & Digital Infrastructure, Digital & AI Competence, National Resilience & Crisis Management)

Reconstruction notes (deepseek-v4-pro): The main uncertainties are the precise relative military scores, which depend on disputed Ethiopian and Eritrean troop strengths and equipment holdings in 1996, and the magnitude of food-security and conflict events, where mortality and displacement estimates remain contested. Economic and infrastructure scores are inferred from sparse 1996 data and should be treated as broad ordinal placements rather than precise measurements. The policy periods are based on documented plans but the resource shares are necessarily approximate.

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

Ethiopia played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 5.96 to a median of 4.31 (−1.65), with 90 per cent of simulations between 4.30 and 4.32 [experiment_objectives].

Starting position

In 1996 the nation ranks 97 on the index against the frozen field, holds 0 of nine domains at Tier 1 and has a tier rank of 100. Its base income is 129 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.

What was decided

A simulation spent a median of 541 credits on moves. The five groups that took most were Transport Infrastructure (build, 56 credits, 10.3 per cent); Energy Infrastructure (build, 44 credits, 8.1 per cent); Water, Sanitation & Waste Infrastructure (build, 42 credits, 7.8 per cent); Land Power (build, 39 credits, 7.1 per cent); Government Effectiveness & Public Administration (build, 31 credits, 5.7 per cent) [experiment_decisions_by_group]. By mode: build 83 per cent, partner 17 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.064, and the most repeated action appeared in 57 per cent of rounds.

The leading domain by period: rounds 1 to 5, National Security; rounds 6 to 10, Strategic Infrastructure; rounds 11 to 15, Strategic Infrastructure; rounds 16 to 20, Strategic Infrastructure; rounds 21 to 25, Human Capital; rounds 26 to 30, Human Capital [experiment_spend_by_period].

What the world did

A median simulation saw 7 shocks and 2 upside events. The most damaging per firing were S03 (60 firings in 30 simulations, −22.4 points each); S06 (120 firings in 30 simulations, −20.5 points each); S10 (30 firings in 30 simulations, −8.6 points each) [experiment_shocks]. Upside events fired 60 times across all simulations [experiment_shocks].

The groups that lost most to shocks, per simulation: Trade Facilitation & Logistics −4.73; Fiscal Capacity & Public Finance −4.18; Agriculture & Food Infrastructure −3.76; Monetary & Currency Capability −3.27 [experiment_shock_damage_by_group].

The edges that carried most change through the graph, per simulation: Fiscal Capacity & Public Finance to Force Generation & Mobilisation (−0.83 points); Fiscal Capacity & Public Finance to Social Infrastructure (−0.70 points); Fiscal Capacity & Public Finance to Transport Infrastructure (−0.46 points) [experiment_propagation_by_edge].

Where it ended

At 2026 the median rank is 135 (5th to 95th percentile 135 to 135), the median count of Tier 1 domains 0 (0 to 0) and the median tier rank 114; the resilient score, the mean score sum over simulations, is 312 [experiment_objectives].

Why

Without shocks the index ends +2.309 higher on average, so the shocks cost about 2.309 index points [experiment_probe_attribution].

Holding instead of following this method changes the index by −0.440: 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 +0.001 and +0.002, for example 1997 build Land Power (6 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 +0.391 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 18) ends +0.01 from it, with 7 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 5.96 the model ends at 4.31, where the 2026 ratings put it at 5.70. Group scores miss by 1.42 points on average, against 0.76 for assuming nothing changed (skill −0.88); the change in each domain has the right sign in 56 per cent of domains. Furthest below history: information and influence (−2.86); furthest above: governance and integrity (−0.04) [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−0.441−34.10.00
No shocks+2.309+163.00.00
Replay of the recorded actions (must change nothing)0.0000.00.00
Without the 1st largest decision+0.002+0.10.001997 build Land Power (6 credits)
Without the 2nd largest decision+0.002+0.10.001997 build Force Generation & Mobilisation (6 credits)
Without the 3rd largest decision+0.002+0.10.001997 build Air Power (6 credits)
Without the 4th largest decision+0.001+0.00.001997 build Intelligence & Assessment (6 credits)
Without the 5th largest decision+0.002+0.10.001998 build Land Power (6 credits)
Without the 1st largest shock+0.391+27.50.002002 S06 (-27.0 points)
Without the 2nd largest shock+0.369+26.60.002020 S03 (-22.8 points)
Without the 3rd largest shock+0.282+20.40.001998 S03 (-21.9 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
Regional war spillover S03Shock100 per cent13.0−22.4
Breadbasket failure S06Shock100 per cent13.0−20.5
Severe pandemic S10Shock100 per cent24.0−8.6
Debt service reset S11Upside100 per cent27.0+3.5
Clean power threshold S15Upside100 per cent26.0+5.5

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
Technical & Vocational SkillsHuman Capital5.896.38 6.37 to 6.39+0.491.6913
Industrial & Sectoral BaseProduction & Innovation6.276.67 6.64 to 6.73+0.402.7442
Nuclear DeterrenceNational Security0.000.00 0.00 to 0.000.000.000
Semiconductors & Advanced ComputingCritical Technology1.060.86 0.85 to 0.88−0.200.000
Transport InfrastructureStrategic Infrastructure6.966.76 6.65 to 6.88−0.203.2467
Space TechnologiesCritical Technology1.321.06 1.04 to 1.08−0.260.000
Sensing, Timing & NavigationCritical Technology1.551.26 1.25 to 1.27−0.290.000
Energy InfrastructureStrategic Infrastructure4.834.51 4.48 to 4.54−0.322.5351
Energy TechnologiesCritical Technology1.300.97 0.96 to 0.98−0.330.000
Advanced Materials & ManufacturingCritical Technology2.251.80 1.78 to 1.82−0.450.000
Connectivity, Cyber & Trust TechnologiesCritical Technology2.472.02 2.01 to 2.03−0.450.000
Quantum TechnologiesCritical Technology2.551.99 1.96 to 2.03−0.560.000
Communications & Digital InfrastructureStrategic Infrastructure8.277.68 7.64 to 7.72−0.592.0532
Air PowerNational Security5.224.60 4.57 to 4.64−0.621.0625
Robotics & Autonomous SystemsCritical Technology3.052.40 2.38 to 2.42−0.650.000
Population HealthHuman Capital6.035.34 5.29 to 5.37−0.691.6225
Maritime PowerNational Security1.891.11 1.10 to 1.12−0.780.000
Intelligence & AssessmentNational Security6.886.10 6.06 to 6.15−0.781.1725
Foundational EducationHuman Capital7.036.03 5.93 to 6.10−1.000.8612
Digital & AI CompetenceHuman Capital7.026.02 6.00 to 6.05−1.000.497
Export Capability & SophisticationTrade & Investment5.824.81 4.78 to 4.86−1.011.4511
Biotechnology & Health TechnologiesCritical Technology4.343.30 3.27 to 3.33−1.040.000
Land PowerNational Security8.267.22 7.13 to 7.27−1.041.3939
Artificial IntelligenceCritical Technology4.933.87 3.83 to 3.89−1.060.000
Space OperationsNational Security3.502.43 2.39 to 2.46−1.070.000
Political Institutions & Civic ParticipationGovernance & Integrity5.934.80 4.77 to 4.82−1.130.000
Regulatory Governance & Strategic ControlsGovernance & Integrity6.825.69 5.68 to 5.69−1.130.000
Transparency, Oversight & AccountabilityGovernance & Integrity6.395.23 5.22 to 5.26−1.160.000
National Resilience & Crisis ManagementGovernance & Integrity8.016.83 6.80 to 6.89−1.181.0920
Justice System & Fundamental RightsGovernance & Integrity6.465.22 5.19 to 5.25−1.240.000
Health System CapabilityHuman Capital7.506.24 6.15 to 6.34−1.260.6813
Lifelong Learning & ReskillingHuman Capital6.405.10 5.08 to 5.13−1.300.000
Internal Security & OrderGovernance & Integrity8.006.65 6.52 to 6.69−1.351.0118
Space, Aerospace & Defence InfrastructureStrategic Infrastructure4.002.61 2.54 to 2.68−1.390.000
Water, Sanitation & Waste InfrastructureStrategic Infrastructure6.605.20 5.10 to 5.29−1.402.0542
Advanced EducationHuman Capital6.595.18 5.14 to 5.22−1.410.000
Research Talent & Knowledge CreationHuman Capital5.994.55 4.52 to 4.59−1.440.000
Development Cooperation & Global AssistanceInformation & Influence4.422.94 2.88 to 2.98−1.480.000
Public Integrity & Anti-CorruptionGovernance & Integrity7.746.18 6.13 to 6.24−1.560.000
Government Effectiveness & Public AdministrationGovernance & Integrity9.027.42 7.37 to 7.48−1.601.6631
Cyber & Electromagnetic OperationsNational Security6.114.42 4.39 to 4.45−1.690.000
Sovereign Capital & External Financial PowerFinancial Strength4.953.24 3.22 to 3.27−1.710.000
Strategic Strike & Missile DefenceNational Security4.392.66 2.63 to 2.67−1.730.000
Innovation & CommercialisationProduction & Innovation4.933.14 3.11 to 3.18−1.790.000
Information Environment & Strategic CommunicationInformation & Influence5.823.96 3.93 to 3.98−1.860.000
Business Dynamism & EntrepreneurshipProduction & Innovation5.333.46 3.43 to 3.50−1.870.000
Resource InfrastructureStrategic Infrastructure4.822.94 2.90 to 2.99−1.880.000
Structural Transformation & ComplexityProduction & Innovation6.224.26 4.24 to 4.28−1.960.000
Labour & EmploymentProduction & Innovation5.443.46 3.43 to 3.50−1.980.000
Technology Adoption & DiffusionProduction & Innovation6.044.06 4.03 to 4.09−1.980.000
Investment Attraction & ProjectionTrade & Investment4.993.00 2.98 to 3.03−1.990.000
Economic Output & ProductivityProduction & Innovation5.653.64 3.60 to 3.67−2.010.000
Culture, Language & Education DiplomacyInformation & Influence6.804.74 4.69 to 4.79−2.060.000
Advanced ManufacturingStrategic Infrastructure6.684.61 4.57 to 4.64−2.070.000
Diaspora & Global CommunitiesInformation & Influence7.515.41 5.39 to 5.41−2.100.000
Financial System Depth & AccessFinancial Strength6.704.56 4.54 to 4.58−2.140.000
Force Generation & MobilisationNational Security9.727.49 7.24 to 7.68−2.230.8125
Joint Command, Projection & SustainmentNational Security6.143.74 3.69 to 3.79−2.400.000
Financial Regulation & IntegrityFinancial Strength7.575.00 4.98 to 5.02−2.570.000
Financial Stability & Crisis ManagementFinancial Strength7.544.96 4.89 to 5.02−2.580.000
Early Childhood DevelopmentHuman Capital7.364.77 4.70 to 4.84−2.590.000
Global Value Chain PositionTrade & Investment6.433.82 3.80 to 3.87−2.610.000
Alliances & Security CooperationInformation & Influence8.295.62 5.54 to 5.71−2.670.000
Digital & Services TradeTrade & Investment7.004.31 4.27 to 4.33−2.690.000
Social InfrastructureStrategic Infrastructure7.004.22 4.14 to 4.42−2.780.000
Agriculture & Food InfrastructureStrategic Infrastructure8.105.30 5.25 to 5.34−2.801.0925
Financial InfrastructureStrategic Infrastructure8.275.45 5.30 to 5.55−2.820.000
Economic Leverage & DependenceTrade & Investment5.552.72 2.67 to 2.77−2.830.000
Trade Policy & Market AccessTrade & Investment6.944.09 4.01 to 4.17−2.850.000
Trade Facilitation & LogisticsTrade & Investment7.013.76 3.75 to 3.78−3.251.4811
Diplomatic Statecraft & Global NetworksInformation & Influence7.383.97 3.93 to 4.02−3.410.000
Monetary & Currency CapabilityFinancial Strength6.693.27 3.20 to 3.34−3.420.000
Fiscal Capacity & Public FinanceFinancial Strength7.393.40 3.35 to 3.49−3.990.487

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: 5.7e-14
  • passscores_in_boundsscores range 0.000 to 9.786
  • 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 9.9e-07 points
  • passmove_without_shocklargest one-year move in a group with no shock landing: 0.36 points; 0% of simulations have one above 3
  • passtier_jumplargest gain in one domain within five years: 2 tiers (0 simulations above 2); tiers are reported, not an objective
  • passall_tier1_from_outside_top10starting rank 97; 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) 0.064; most funded group hard.strategic_infrastructure.transport_infrastructure
  • passsame_actionthe most repeated move (group and mode) appears in a median 57% of rounds
  • passregression_index_p50index_p50 moved 146.9% since cycle-002 (1.74 to 4.31); versions changed (0.1.0 to 0.1.1, graph 0.2.0 to 0.2.0)
  • passregression_score_sum_p50score_sum_p50 moved 143.2% since cycle-002 (128.50 to 312.49); versions changed (0.1.0 to 0.1.1, graph 0.2.0 to 0.2.0)

Settings and versions

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

Nation
Ethiopia (ETH)
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: Regional war spillover in year 2, Breadbasket failure in year 6, Breadbasket failure in year 12, Breadbasket failure in year 15, Breadbasket failure in year 19, Severe pandemic in year 24, Regional war spillover in year 24, Clean power threshold in year 26, Debt service reset 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 128.8 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
7.3 seconds in all; 1917 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.