E4 · cycle-002.e4-mex

Mexico, scripted, 30 years from 1996

30 simulations of 30 rounds from the 1996 position. Mexico decides by the scripted method; scripted events: Global funding seizure in year 2, Legitimacy rupture in year 10, Global funding seizure in year 12, Severe pandemic in year 13, Trade bloc rupture in year 22, Severe pandemic in year 24, Breadbasket failure in year 26.

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
8.21 (−1.45)
From 9.67; 8.20 to 8.22
Rank by index
64
From 49; 64 to 64
Domains at Tier 1
0
From 0; 0 to 0
Tier rank
47
From 56; 34 to 47

Capability index by round

Rank by index, by round

Every objective at the position and at the horizon
Objective199610th percentileMedian90th percentileBetter
Capability indexprimary9.678.208.218.22higher
Rank by index49646464lower
Tier rank56344747lower
Domains at Tier 10000higher
Score sum687.5591.1591.9592.3higher
Goal-weighted score687.5591.1591.9592.3higher
Resilient score687.5591.8 (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 79 per cent, buy took 0 per cent, partner took 21 per cent of the 991 credits a simulation spent on actions.

Against history

Started from a reconstructed 1996 position and played along the pathway and shocks Mexico 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
9.67
reconstructed
Observed 2026
10.85
the Index's rating
Simulated 2026
8.21
8.16 to 8.27
Skill against persistence
−1.13
group error 2.78 against 1.31 if nothing changed
Domain1996ObservedSimulatedBiasDirection
Critical Technology5.096.543.33 3.3–3.4−3.21wrong
Strategic Infrastructure11.3012.7411.31 11.2–11.4−1.43wrong
National Security7.117.286.00 5.9–6.0−1.29wrong
Human Capital10.1910.8610.01 10.0–10.1−0.85wrong
Information & Influence10.9211.718.64 8.6–8.7−3.07wrong
Governance & Integrity9.5510.809.31 9.3–9.3−1.50wrong
Financial Strength11.0312.728.25 8.2–8.3−4.47wrong
Production & Innovation10.1811.487.91 7.9–8.0−3.56wrong
Trade & Investment11.6013.529.17 9.1–9.2−4.36wrong

The history it was played under: shocks and events

  • 1998 · S02 × 0.4 The Asian and Russian crises triggered external financing stress and a drop in oil prices, but Mexico's post-1995 buffers and IMF support prevented a sovereign funding seizure.
  • 2006 · S05 × 0.4 The disputed presidential election led Lopez Obrador to proclaim a parallel government and blockade central Mexico City, but courts and institutions held.
  • 2008 · S02 × 0.8 The global financial crisis and US recession collapsed Mexican exports, remittances and FDI, producing a deep recession though the banking system survived.
  • 2009 · S10 × 0.3 The H1N1 influenza pandemic began in Mexico, triggering shutdowns and a tourism shock but with far lower mortality than the 2020 pandemic.
  • 2018 · S01 × 0.5 US tariff threats and the forced NAFTA renegotiation created trade policy uncertainty and discouraged investment until the USMCA was signed.
  • 2020 · S10 × 0.9 COVID-19 hit Mexico with very high excess mortality, strained hospitals and caused an eight per cent economic contraction.
  • 2022 · S06 × 0.4 The Russia-Ukraine war and supply disruptions raised imported grain and fertiliser prices, feeding food-price inflation and pressures on poor households.

The pathway: what it prioritised, period by period

  • 1997–2000 · build · 2% each The Zedillo government consolidated the post-1994 macro-financial rescue, strengthened the autonomous Bank of Mexico and continued NAFTA-driven trade and customs integration. (Monetary & Currency Capability, Fiscal Capacity & Public Finance, Financial System Depth & Access, Trade Facilitation & Logistics, Trade Policy & Market Access)
  • 2000–2006 · build · 2% each The Fox administration expanded Oportunidades conditional cash transfers, began Seguro Popular health coverage and invested in housing and electoral pluralism after the democratic alternation. (Political Institutions & Civic Participation, Early Childhood Development, Population Health, Health System Capability, Social Infrastructure)
  • 2006–2012 · build · 2% each Calderon's government launched the militarised drug war, a major judicial reform in 2008 and large infrastructure concessions in transport, energy and telecommunications. (Internal Security & Order, Justice System & Fundamental Rights, Transport Infrastructure, Communications & Digital Infrastructure, Energy Infrastructure)
  • 2012–2018 · partner · 2% each The Pacto por Mexico reforms opened energy and telecommunications to private and foreign participation, created independent regulators and sought quality improvements in education. (Energy Technologies, Energy Infrastructure, Regulatory Governance & Strategic Controls, Communications & Digital Infrastructure, Advanced Education)
  • 2018–2024 · build · 5% each Lopez Obrador prioritised large cash-transfer and pensions programmes, the National Guard, and state-led energy projects such as the Dos Bocas refinery and the Tren Maya. (Social Infrastructure, Population Health, Resource Infrastructure, Energy Infrastructure, Internal Security & Order)
  • 2024–2026 · partner · 2% each The Sheinbaum government is attempting to capture nearshoring investment, expand clean energy and digital infrastructure, and integrate Mexico more deeply into North American supply chains. (Trade Facilitation & Logistics, Industrial & Sectoral Base, Energy Technologies, Digital & Services Trade, Technology Adoption & Diffusion)

Reconstruction notes (deepseek-v4-pro): Scores for frontier technology and security capabilities are especially uncertain because Mexico neither led nor publicly benchmarked those areas in 1996, and much activity is informal or opaque. Governance and integrity indicators rest on imperfect corruption and rule-of-law measures from the period. Mapping real events to the event library requires judgement, particularly for trade tensions and food-price shocks that affected Mexico indirectly rather than as the scenario's severe case.

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

Mexico played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 9.67 to a median of 8.21 (−1.45), with 90 per cent of simulations between 8.20 and 8.22 [experiment_objectives].

Starting position

In 1996 the nation ranks 49 on the index against the frozen field, holds 0 of nine domains at Tier 1 and has a tier rank of 56. Its base income is 251 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.

What was decided

A simulation spent a median of 990 credits on moves. The five groups that took most were Social Infrastructure (build, 104 credits, 10.5 per cent); Population Health (build, 104 credits, 10.5 per cent); Energy Infrastructure (build, 102 credits, 10.3 per cent); Internal Security & Order (build, 102 credits, 10.3 per cent); Resource Infrastructure (build, 69 credits, 6.9 per cent) [experiment_decisions_by_group]. By mode: build 79 per cent, partner 21 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.072, and the most repeated action appeared in 47 per cent of rounds.

The leading domain by period: rounds 1 to 5, Financial Strength; rounds 6 to 10, Human Capital; 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 7 shocks and 0 upside events. The most damaging per firing were S10 (60 firings in 30 simulations, −27.2 points each); S01 (30 firings in 30 simulations, −20.8 points each); S02 (60 firings in 30 simulations, −16.4 points each) [experiment_shocks].

The groups that lost most to shocks, per simulation: Fiscal Capacity & Public Finance −3.96; Labour & Employment −3.54; Monetary & Currency Capability −3.40; Trade Facilitation & Logistics −3.31 [experiment_shock_damage_by_group].

The edges that carried most change through the graph, per simulation: Fiscal Capacity & Public Finance to Social Infrastructure (−0.61 points); Fiscal Capacity & Public Finance to Force Generation & Mobilisation (−0.45 points); Fiscal Capacity & Public Finance to Transport Infrastructure (−0.39 points) [experiment_propagation_by_edge].

Where it ended

At 2026 the median rank is 64 (5th to 95th percentile 64 to 64), the median count of Tier 1 domains 0 (0 to 0) and the median tier rank 47; the resilient score, the mean score sum over simulations, is 592 [experiment_objectives].

Why

Without shocks the index ends +2.248 higher on average, so the shocks cost about 2.248 index points [experiment_probe_attribution].

Holding instead of following this method changes the index by −0.791: 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 −0.007 and −0.004, for example 2019 build Social Infrastructure (11 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 +0.659 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).

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

The simulation furthest from the median (seed 15) ends −0.02 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 9.67 the model ends at 8.21, where the 2026 ratings put it at 10.85. Group scores miss by 2.78 points on average, against 1.31 for assuming nothing changed (skill −1.13); the change in each domain has the right sign in 0 per cent of domains. Furthest below history: financial strength (−4.47); furthest above: human capital (−0.85) [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−0.791−59.90.00
No shocks+2.248+156.90.00
Replay of the recorded actions (must change nothing)0.0000.00.00
Without the 1st largest decision−0.004−0.40.002019 build Social Infrastructure (11 credits)
Without the 2nd largest decision−0.007−0.50.002019 build Population Health (11 credits)
Without the 3rd largest decision−0.004−0.30.002019 build Resource Infrastructure (11 credits)
Without the 4th largest decision−0.005−0.40.002019 build Energy Infrastructure (11 credits)
Without the 5th largest decision−0.007−0.50.002019 build Internal Security & Order (11 credits)
Without the 1st largest shock+0.659+46.50.002020 S10 (-40.9 points)
Without the 2nd largest shock+0.461+31.40.002008 S02 (-22.1 points)
Without the 3rd largest shock+0.352+24.60.002018 S01 (-20.9 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 cent22.0−20.8
Global funding seizure S02Shock100 per cent7.0−16.4
Legitimacy rupture S05Shock100 per cent10.0−13.9
Breadbasket failure S06Shock100 per cent26.0−9.5
Severe pandemic S10Shock100 per cent18.5−27.3

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
Energy InfrastructureStrategic Infrastructure10.6114.15 14.11 to 14.20+3.544.80132
Internal Security & OrderGovernance & Integrity8.8912.20 12.15 to 12.24+3.314.67102
Population HealthHuman Capital10.5813.80 13.79 to 13.82+3.224.87104
Communications & Digital InfrastructureStrategic Infrastructure11.4113.58 13.55 to 13.61+2.173.2963
Social InfrastructureStrategic Infrastructure11.5412.93 12.85 to 13.10+1.393.62104
Energy TechnologiesCritical Technology5.316.63 6.61 to 6.66+1.323.2641
Early Childhood DevelopmentHuman Capital11.5612.71 12.66 to 12.75+1.152.0935
Resource InfrastructureStrategic Infrastructure13.6514.42 14.34 to 14.55+0.772.1569
Justice System & Fundamental RightsGovernance & Integrity8.449.17 9.15 to 9.19+0.731.9433
Political Institutions & Civic ParticipationGovernance & Integrity9.7310.14 10.11 to 10.17+0.411.7335
Advanced EducationHuman Capital10.8011.14 11.12 to 11.18+0.341.5830
Regulatory Governance & Strategic ControlsGovernance & Integrity9.489.70 9.69 to 9.71+0.221.6230
Nuclear DeterrenceNational Security0.000.00 0.00 to 0.000.000.000
Transport InfrastructureStrategic Infrastructure11.4011.18 11.06 to 11.32−0.221.2633
Health System CapabilityHuman Capital11.0310.56 10.47 to 10.64−0.471.5335
Digital & AI CompetenceHuman Capital9.858.94 8.88 to 8.99−0.910.000
Research Talent & Knowledge CreationHuman Capital9.688.61 8.57 to 8.65−1.070.000
Joint Command, Projection & SustainmentNational Security8.717.62 7.57 to 7.66−1.090.000
Maritime PowerNational Security7.366.25 6.22 to 6.26−1.110.000
Intelligence & AssessmentNational Security9.148.03 7.98 to 8.09−1.110.000
Technology Adoption & DiffusionProduction & Innovation10.379.24 9.18 to 9.29−1.130.8311
Technical & Vocational SkillsHuman Capital9.278.12 8.11 to 8.14−1.150.000
Lifelong Learning & ReskillingHuman Capital9.097.91 7.88 to 7.95−1.180.000
Advanced ManufacturingStrategic Infrastructure12.1510.96 10.85 to 11.08−1.190.000
Air PowerNational Security7.436.23 6.19 to 6.26−1.200.000
Cyber & Electromagnetic OperationsNational Security8.126.91 6.84 to 6.99−1.210.000
Land PowerNational Security8.807.58 7.51 to 7.60−1.220.000
Strategic Strike & Missile DefenceNational Security5.704.44 4.35 to 4.50−1.260.000
Public Integrity & Anti-CorruptionGovernance & Integrity8.737.45 7.40 to 7.50−1.280.000
Transparency, Oversight & AccountabilityGovernance & Integrity8.507.20 7.19 to 7.21−1.300.000
Digital & Services TradeTrade & Investment11.4410.10 10.04 to 10.17−1.340.9011
Space OperationsNational Security5.784.41 4.32 to 4.45−1.370.000
Trade Facilitation & LogisticsTrade & Investment11.9010.53 10.51 to 10.56−1.372.0431
Space, Aerospace & Defence InfrastructureStrategic Infrastructure7.916.44 6.34 to 6.50−1.470.000
Agriculture & Food InfrastructureStrategic Infrastructure11.9610.43 10.36 to 10.51−1.530.000
Industrial & Sectoral BaseProduction & Innovation12.2910.72 10.63 to 10.76−1.570.5511
Foundational EducationHuman Capital9.898.31 8.27 to 8.34−1.580.000
Force Generation & MobilisationNational Security10.118.52 8.36 to 8.63−1.590.000
Water, Sanitation & Waste InfrastructureStrategic Infrastructure10.438.83 8.73 to 8.94−1.600.000
Connectivity, Cyber & Trust TechnologiesCritical Technology5.713.96 3.94 to 3.97−1.750.000
Financial InfrastructureStrategic Infrastructure11.9510.18 10.05 to 10.26−1.770.000
Trade Policy & Market AccessTrade & Investment12.5310.75 10.65 to 10.82−1.781.1020
Diaspora & Global CommunitiesInformation & Influence13.0611.26 11.25 to 11.27−1.800.000
Culture, Language & Education DiplomacyInformation & Influence11.309.49 9.46 to 9.51−1.810.000
Financial System Depth & AccessFinancial Strength10.989.16 9.14 to 9.19−1.820.9520
National Resilience & Crisis ManagementGovernance & Integrity11.009.13 9.07 to 9.19−1.870.000
Space TechnologiesCritical Technology4.692.82 2.80 to 2.84−1.870.000
Quantum TechnologiesCritical Technology3.441.54 1.52 to 1.56−1.900.000
Robotics & Autonomous SystemsCritical Technology5.643.67 3.63 to 3.73−1.970.000
Sensing, Timing & NavigationCritical Technology4.062.08 2.04 to 2.12−1.980.000
Artificial IntelligenceCritical Technology6.714.63 4.54 to 4.70−2.080.000
Alliances & Security CooperationInformation & Influence12.3110.19 10.13 to 10.27−2.120.000
Business Dynamism & EntrepreneurshipProduction & Innovation9.527.39 7.35 to 7.45−2.130.000
Advanced Materials & ManufacturingCritical Technology5.443.27 3.25 to 3.29−2.170.000
Semiconductors & Advanced ComputingCritical Technology4.181.99 1.99 to 2.00−2.190.000
Government Effectiveness & Public AdministrationGovernance & Integrity11.669.46 9.41 to 9.49−2.200.000
Development Cooperation & Global AssistanceInformation & Influence8.115.84 5.76 to 5.89−2.270.000
Structural Transformation & ComplexityProduction & Innovation10.318.04 7.99 to 8.09−2.270.000
Innovation & CommercialisationProduction & Innovation8.966.68 6.65 to 6.73−2.280.000
Sovereign Capital & External Financial PowerFinancial Strength9.216.71 6.65 to 6.79−2.500.000
Diplomatic Statecraft & Global NetworksInformation & Influence10.788.24 8.18 to 8.29−2.540.000
Monetary & Currency CapabilityFinancial Strength11.989.22 9.11 to 9.31−2.760.9020
Economic Output & ProductivityProduction & Innovation11.258.42 8.34 to 8.47−2.830.000
Global Value Chain PositionTrade & Investment13.6110.71 10.69 to 10.75−2.900.000
Financial Regulation & IntegrityFinancial Strength10.978.07 8.04 to 8.08−2.900.000
Financial Stability & Crisis ManagementFinancial Strength11.988.95 8.85 to 9.04−3.030.000
Biotechnology & Health TechnologiesCritical Technology5.732.68 2.67 to 2.70−3.050.000
Information Environment & Strategic CommunicationInformation & Influence9.956.83 6.79 to 6.88−3.120.000
Export Capability & SophisticationTrade & Investment9.936.77 6.73 to 6.82−3.160.000
Economic Leverage & DependenceTrade & Investment9.896.72 6.62 to 6.82−3.170.000
Investment Attraction & ProjectionTrade & Investment11.928.59 8.55 to 8.65−3.330.000
Labour & EmploymentProduction & Innovation8.584.90 4.87 to 4.95−3.680.000
Fiscal Capacity & Public FinanceFinancial Strength11.067.38 7.31 to 7.50−3.680.7720

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-13
  • passscores_in_boundsscores range 0.000 to 14.584
  • 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: 0.45 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 49; 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) 0.072; most funded group hard.strategic_infrastructure.energy_infrastructure
  • passsame_actionthe most repeated move (group and mode) appears in a median 47% of rounds

Settings and versions

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

Nation
Mexico (MEX)
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 2, Legitimacy rupture in year 10, Global funding seizure in year 12, Severe pandemic in year 13, Trade bloc rupture in year 22, Severe pandemic in year 24, Breadbasket failure in year 26
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 251.4 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
4.5 seconds in all; 1082 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.