E4 · cycle-002.e4-ven

Venezuela, scripted, 30 years from 1996

30 simulations of 30 rounds from the 1996 position. Venezuela decides by the scripted method; scripted events: Core disaster in year 3, Legitimacy rupture in year 6, Breadbasket failure in year 19, Global funding seizure in year 21, Hybrid coercion in year 23, Legitimacy rupture in year 23, Severe pandemic in year 24.

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
7.75 (−2.43)
From 10.19; 7.73 to 7.76
Rank by index
71
From 45; 70 to 71
Domains at Tier 1
0
From 0; 0 to 0
Tier rank
21
From 39; 21 to 21

Capability index by round

Rank by index, by round

Every objective at the position and at the horizon
Objective199610th percentileMedian90th percentileBetter
Capability indexprimary10.197.737.757.76higher
Rank by index45707171lower
Tier rank39212121lower
Domains at Tier 10000higher
Score sum735.7565.2566.3567.3higher
Goal-weighted score735.7565.2566.3567.3higher
Resilient score735.7566.2 (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 66 per cent, buy took 5 per cent, partner took 30 per cent of the 1,273 credits a simulation spent on actions.

Against history

Started from a reconstructed 1996 position and played along the pathway and shocks Venezuela 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
10.19
reconstructed
Observed 2026
4.55
the Index's rating
Simulated 2026
7.75
7.66 to 7.84
Skill against persistence
+0.38
group error 3.37 against 5.43 if nothing changed
Domain1996ObservedSimulatedBiasDirection
Critical Technology6.752.094.30 4.2–4.3+2.21right
Strategic Infrastructure11.696.629.97 9.8–10.1+3.35right
National Security8.815.785.88 5.8–6.0+0.11right
Human Capital11.676.4511.70 11.6–11.8+5.25wrong
Information & Influence11.075.439.32 9.2–9.4+3.89right
Governance & Integrity10.203.979.14 9.1–9.2+5.17right
Financial Strength10.282.805.68 5.6–5.8+2.87right
Production & Innovation10.114.276.57 6.5–6.7+2.30right
Trade & Investment11.103.587.21 7.1–7.3+3.63right

The history it was played under: shocks and events

  • 1999 · S07 × 0.7 The Vargas mudslides and floods killed thousands and destroyed coastal transport and housing infrastructure near Caracas.
  • 2002 · S05 × 0.8 The April coup briefly removed Chávez, and the subsequent opposition oil strike paralysed PDVSA and the oil-dependent state.
  • 2015 · S06 × 0.8 Collapsing imports and domestic agricultural decline produced severe food and medicine shortages and rising malnutrition.
  • 2017 · S02 × 1.2 Venezuela defaulted on sovereign debt, lost access to international capital, and entered hyperinflation under tightening US sanctions.
  • 2019 · S04 × 0.7 A nationwide blackout in March 2019 exposed the decay of unprotected electricity infrastructure; the government blamed sabotage.
  • 2019 · S05 × 1 The National Assembly presidency dispute and Juan Guaidó's claim produced a prolonged dual-government crisis and external recognition split.
  • 2020 · S10 × 0.9 COVID-19 overwhelmed an already collapsed health system and compounded fuel, food, and migration crises.

The pathway: what it prioritised, period by period

  • 1997–1998 · partner · 2% each Agenda Venezuela and the apertura petrolera used IMF-backed stabilisation, foreign oil partnerships and privatisation to restore oil output and fiscal balance. (Resource Infrastructure, Energy Infrastructure, Financial Infrastructure, Regulatory Governance & Strategic Controls, Trade Policy & Market Access)
  • 1999–2002 · build · 5% each The constituent process, 1999 constitution, land reform and expanded social inclusion agenda refounded political institutions after Chávez's election. (Political Institutions & Civic Participation, Justice System & Fundamental Rights, Social Infrastructure, Foundational Education, Agriculture & Food Infrastructure)
  • 2003–2007 · build · 5% each Oil-funded misiones massively expanded literacy, basic and higher education, primary health care and community infrastructure after the 2002-03 oil strike crisis. (Foundational Education, Advanced Education, Population Health, Health System Capability, Social Infrastructure)
  • 2005–2012 · partner · 5% each High oil prices financed state-led oil expansion, Petrocaribe, ALBA and strategic partnerships with China and Russia while key oil and industrial assets were nationalised. (Resource Infrastructure, Energy Infrastructure, Alliances & Security Cooperation, Diplomatic Statecraft & Global Networks, Sovereign Capital & External Financial Power)
  • 2013–2018 · build · 2% each Falling oil prices and shortages drove ad hoc food production and import substitution, distribution controls, security build-up and struggling fiscal management. (National Resilience & Crisis Management, Agriculture & Food Infrastructure, Internal Security & Order, Government Effectiveness & Public Administration, Fiscal Capacity & Public Finance)
  • 2019–2026 · buy · 2% each Regime survival centred on internal security, oil output recovery through foreign licences, de facto dollarisation and selective trade openings while depending on Cuba, China, Russia and Iran. (Resource Infrastructure, Monetary & Currency Capability, Internal Security & Order, Alliances & Security Cooperation, Trade Policy & Market Access)

Reconstruction notes (deepseek-v4-pro): Venezuelan data are highly politicised and uncertain, especially for institutional quality and non-oil capabilities in 1996. The baseline mixes a world-class oil sector with already eroding public systems, so scores in infrastructure and governance carry wider error bands. Event magnitudes are judgement-based because Venezuela's crises cascaded across political, financial, food and health domains simultaneously.

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

Venezuela played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 10.19 to a median of 7.75 (−2.43), with 90 per cent of simulations between 7.73 and 7.77 [experiment_objectives].

Starting position

In 1996 the nation ranks 45 on the index against the frozen field, holds 0 of nine domains at Tier 1 and has a tier rank of 39. Its base income is 295 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.

What was decided

A simulation spent a median of 1,273 credits on moves. The five groups that took most were Foundational Education (build, 122 credits, 9.6 per cent); Social Infrastructure (build, 113 credits, 8.9 per cent); Energy Infrastructure (partner, 88 credits, 6.9 per cent); Resource Infrastructure (partner, 88 credits, 6.9 per cent); Agriculture & Food Infrastructure (build, 88 credits, 6.9 per cent) [experiment_decisions_by_group]. By mode: build 66 per cent, partner 30 per cent, buy 5 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.063, and the most repeated action appeared in 33 per cent of rounds.

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

What the world did

A median simulation saw 7 shocks and 0 upside events. The most damaging per firing were S10 (30 firings in 30 simulations, −43.5 points each); S05 (60 firings in 30 simulations, −38.3 points each); S02 (30 firings in 30 simulations, −32.0 points each) [experiment_shocks].

The groups that lost most to shocks, per simulation: Fiscal Capacity & Public Finance −6.91; Monetary & Currency Capability −6.24; Information Environment & Strategic Communication −5.54; Trade Facilitation & Logistics −5.14 [experiment_shock_damage_by_group].

The edges that carried most change through the graph, per simulation: Fiscal Capacity & Public Finance to Social Infrastructure (−1.13 points); Fiscal Capacity & Public Finance to Force Generation & Mobilisation (−0.98 points); Foundational Education to Advanced Education (+0.81 points) [experiment_propagation_by_edge].

Where it ended

At 2026 the median rank is 71 (5th to 95th percentile 70 to 71), the median count of Tier 1 domains 0 (0 to 0) and the median tier rank 21; the resilient score, the mean score sum over simulations, is 566 [experiment_objectives].

Why

Without shocks the index ends +3.550 higher on average, so the shocks cost about 3.550 index points [experiment_probe_attribution].

Holding instead of following this method changes the index by −1.287: 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 −0.012 and +0.010, for example 1999 build Political Institutions & Civic Participation (15 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 +0.711 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: 5 tiers (30 simulations above 2).

retired_words (warn): e4-ven/report.md: 'simulations' 1 time(s), first near line 38; use 'simulations'.

The simulation furthest from the median (seed 15) ends −0.03 from it, with 7 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 10.19 the model ends at 7.75, where the 2026 ratings put it at 4.55. Group scores miss by 3.37 points on average, against 5.43 for assuming nothing changed (skill +0.38); the change in each domain has the right sign in 89 per cent of domains. Furthest below history: national security (+0.11); furthest above: human capital (+5.25) [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−1.287−91.60.00
No shocks+3.550+249.0+2.00
Replay of the recorded actions (must change nothing)0.0000.00.00
Without the 1st largest decision−0.009−0.80.001999 build Political Institutions & Civic Participation (15 credits)
Without the 2nd largest decision−0.012−1.00.001999 build Justice System & Fundamental Rights (15 credits)
Without the 3rd largest decision+0.010+0.50.001999 build Social Infrastructure (15 credits)
Without the 4th largest decision+0.006+0.10.001999 build Foundational Education (15 credits)
Without the 5th largest decision+0.006+0.20.001999 build Agriculture & Food Infrastructure (15 credits)
Without the 1st largest shock+0.700+49.20.002020 S10 (-43.5 points)
Without the 2nd largest shock+0.711+50.00.002019 S05 (-42.6 points)
Without the 3rd largest shock+0.679+48.20.002002 S05 (-33.9 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
Global funding seizure S02Shock100 per cent21.0−32.0
Hybrid coercion S04Shock100 per cent23.0−11.6
Legitimacy rupture S05Shock100 per cent14.5−38.3
Breadbasket failure S06Shock100 per cent19.0−28.2
Core disaster S07Shock100 per cent3.0−23.5
Severe pandemic S10Shock100 per cent24.0−43.5

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
Alliances & Security CooperationInformation & Influence10.8515.98 15.94 to 16.01+5.138.80105
Foundational EducationHuman Capital12.4016.87 16.81 to 16.93+4.476.43122
Advanced EducationHuman Capital13.2516.14 15.93 to 16.35+2.893.6765
Resource InfrastructureStrategic Infrastructure15.9316.86 16.70 to 17.10+0.933.79117
Population HealthHuman Capital11.9812.90 12.87 to 12.95+0.923.2165
Justice System & Fundamental RightsGovernance & Integrity9.149.87 9.84 to 9.89+0.733.0757
Agriculture & Food InfrastructureStrategic Infrastructure10.8011.33 11.23 to 11.42+0.533.3788
Internal Security & OrderGovernance & Integrity9.5810.09 10.04 to 10.13+0.513.5559
Political Institutions & Civic ParticipationGovernance & Integrity10.5710.91 10.83 to 10.98+0.342.7757
Diplomatic Statecraft & Global NetworksInformation & Influence13.3313.63 13.52 to 13.69+0.304.2970
Nuclear DeterrenceNational Security0.000.00 0.00 to 0.000.000.000
Health System CapabilityHuman Capital11.9911.83 11.67 to 12.01−0.162.7365
Energy InfrastructureStrategic Infrastructure13.4213.15 13.04 to 13.23−0.273.4588
Trade Policy & Market AccessTrade & Investment12.9312.37 12.33 to 12.40−0.562.9041
Social InfrastructureStrategic Infrastructure12.6811.98 11.84 to 12.31−0.703.82113
National Resilience & Crisis ManagementGovernance & Integrity10.649.34 9.25 to 9.41−1.301.6130
Technical & Vocational SkillsHuman Capital11.039.66 9.51 to 9.75−1.370.000
Research Talent & Knowledge CreationHuman Capital11.259.82 9.65 to 9.96−1.430.000
Digital & AI CompetenceHuman Capital9.858.41 8.29 to 8.48−1.440.000
Regulatory Governance & Strategic ControlsGovernance & Integrity10.639.16 9.15 to 9.17−1.470.5712
Early Childhood DevelopmentHuman Capital12.9511.16 11.10 to 11.22−1.790.000
Lifelong Learning & ReskillingHuman Capital10.358.54 8.50 to 8.58−1.810.000
Advanced Materials & ManufacturingCritical Technology7.565.38 5.33 to 5.41−2.180.000
Public Integrity & Anti-CorruptionGovernance & Integrity9.076.84 6.78 to 6.93−2.230.000
Connectivity, Cyber & Trust TechnologiesCritical Technology6.273.97 3.95 to 3.99−2.300.000
Semiconductors & Advanced ComputingCritical Technology3.070.77 0.76 to 0.79−2.300.000
Quantum TechnologiesCritical Technology4.342.04 2.02 to 2.08−2.300.000
Space TechnologiesCritical Technology3.531.18 1.14 to 1.22−2.350.000
Government Effectiveness & Public AdministrationGovernance & Integrity12.319.94 9.86 to 9.98−2.371.4630
Robotics & Autonomous SystemsCritical Technology7.334.84 4.78 to 4.95−2.490.000
Sensing, Timing & NavigationCritical Technology6.584.03 3.90 to 4.13−2.550.000
Energy TechnologiesCritical Technology12.6910.13 10.09 to 10.19−2.560.000
Advanced ManufacturingStrategic Infrastructure10.177.57 7.51 to 7.65−2.600.000
Financial InfrastructureStrategic Infrastructure11.629.00 8.72 to 9.18−2.620.7712
Communications & Digital InfrastructureStrategic Infrastructure11.769.13 9.06 to 9.20−2.630.000
Intelligence & AssessmentNational Security11.598.95 8.86 to 9.05−2.640.000
Transparency, Oversight & AccountabilityGovernance & Integrity9.676.96 6.94 to 6.97−2.710.000
Artificial IntelligenceCritical Technology6.713.94 3.82 to 4.08−2.770.000
Biotechnology & Health TechnologiesCritical Technology9.456.66 6.63 to 6.69−2.790.000
Space, Aerospace & Defence InfrastructureStrategic Infrastructure6.443.57 3.43 to 3.66−2.870.000
Joint Command, Projection & SustainmentNational Security9.746.85 6.71 to 6.93−2.890.000
Sovereign Capital & External Financial PowerFinancial Strength10.797.87 7.77 to 7.97−2.921.0417
Air PowerNational Security10.197.23 7.12 to 7.34−2.960.000
Culture, Language & Education DiplomacyInformation & Influence11.718.69 8.59 to 8.79−3.020.000
Strategic Strike & Missile DefenceNational Security6.303.22 3.08 to 3.31−3.080.000
Cyber & Electromagnetic OperationsNational Security9.906.78 6.69 to 6.90−3.120.000
Land PowerNational Security12.539.33 9.10 to 9.43−3.200.000
Maritime PowerNational Security9.796.59 6.51 to 6.65−3.200.000
Innovation & CommercialisationProduction & Innovation8.965.74 5.68 to 5.81−3.220.000
Diaspora & Global CommunitiesInformation & Influence9.986.74 6.73 to 6.76−3.240.000
Technology Adoption & DiffusionProduction & Innovation10.807.54 7.46 to 7.61−3.260.000
Structural Transformation & ComplexityProduction & Innovation8.825.52 5.46 to 5.59−3.300.000
Transport InfrastructureStrategic Infrastructure11.798.48 8.25 to 8.72−3.310.000
Space OperationsNational Security5.181.87 1.74 to 1.94−3.310.000
Business Dynamism & EntrepreneurshipProduction & Innovation9.526.19 6.07 to 6.32−3.330.000
Industrial & Sectoral BaseProduction & Innovation11.127.61 7.55 to 7.70−3.510.000
Water, Sanitation & Waste InfrastructureStrategic Infrastructure12.248.62 8.40 to 8.82−3.620.000
Economic Output & ProductivityProduction & Innovation11.637.91 7.78 to 8.03−3.720.000
Digital & Services TradeTrade & Investment10.646.88 6.82 to 6.97−3.760.000
Development Cooperation & Global AssistanceInformation & Influence9.605.74 5.57 to 5.81−3.860.000
Global Value Chain PositionTrade & Investment9.485.61 5.56 to 5.72−3.870.000
Economic Leverage & DependenceTrade & Investment11.707.67 7.49 to 7.84−4.030.000
Export Capability & SophisticationTrade & Investment10.356.22 6.12 to 6.31−4.130.000
Financial Regulation & IntegrityFinancial Strength10.235.82 5.80 to 5.84−4.410.000
Labour & EmploymentProduction & Innovation9.925.50 5.45 to 5.57−4.420.000
Financial Stability & Crisis ManagementFinancial Strength9.855.27 5.14 to 5.40−4.580.000
Financial System Depth & AccessFinancial Strength10.225.48 5.46 to 5.52−4.740.000
Force Generation & MobilisationNational Security12.858.03 7.79 to 8.31−4.820.000
Monetary & Currency CapabilityFinancial Strength9.534.69 4.55 to 4.80−4.841.7529
Investment Attraction & ProjectionTrade & Investment11.065.87 5.82 to 5.93−5.190.000
Trade Facilitation & LogisticsTrade & Investment11.535.87 5.73 to 5.96−5.660.000
Information Environment & Strategic CommunicationInformation & Influence10.945.12 5.05 to 5.19−5.820.000
Fiscal Capacity & Public FinanceFinancial Strength11.064.94 4.84 to 5.08−6.121.4030

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 18.446
  • 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 1.0e-06 points
  • passmove_without_shocklargest one-year move in a group with no shock landing: 1.43 points; 0% of simulations have one above 3
  • warntier_jumplargest gain in one domain within five years: 5 tiers (30 simulations above 2)
  • passall_tier1_from_outside_top10starting rank 45; 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) 0.063; most funded group soft.human_capital.foundational_education
  • passsame_actionthe most repeated move (group and mode) appears in a median 33% of rounds

Settings and versions

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

Nation
Venezuela (VEN)
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: Core disaster in year 3, Legitimacy rupture in year 6, Breadbasket failure in year 19, Global funding seizure in year 21, Hybrid coercion in year 23, Legitimacy rupture in year 23, 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 295.4 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
4.0 seconds in all; 981 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.