E4 · cycle-002.e4-est

Estonia, scripted, 30 years from 1996

30 simulations of 30 rounds from the 1996 position. Estonia decides by the scripted method; scripted events: Global funding seizure in year 2, Market access opening in year 8, Hybrid coercion in year 11, Global funding seizure in year 12, Trade bloc rupture in year 18, Severe pandemic in year 24, Regional war spillover 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
9.74 (−0.72)
From 10.47; 9.71 to 9.76
Rank by index
48
From 44; 48 to 48
Domains at Tier 1
1
From 0; 1 to 1
Tier rank
19
From 50; 19 to 19

Capability index by round

Rank by index, by round

Every objective at the position and at the horizon
Objective199610th percentileMedian90th percentileBetter
Capability indexprimary10.479.719.749.76higher
Rank by index44484848lower
Tier rank50191919lower
Domains at Tier 10111higher
Score sum746.0695.7697.9698.9higher
Goal-weighted score746.0695.7697.9698.9higher
Resilient score746.0697.5 (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 33 per cent, buy took 0 per cent, partner took 67 per cent of the 1,632 credits a simulation spent on actions.

Against history

Started from a reconstructed 1996 position and played along the pathway and shocks Estonia 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
10.47
reconstructed
Observed 2026
11.49
the Index's rating
Simulated 2026
9.74
9.68 to 9.79
Skill against persistence
−0.97
group error 2.51 against 1.27 if nothing changed
Domain1996ObservedSimulatedBiasDirection
Critical Technology5.136.004.27 4.2–4.3−1.73wrong
Strategic Infrastructure11.0310.8610.22 10.2–10.3−0.64wrong
National Security6.587.546.80 6.7–6.8−0.74wrong
Human Capital12.9614.5612.81 12.8–12.8−1.75wrong
Information & Influence8.8310.489.11 9.1–9.2−1.37right
Governance & Integrity14.0415.4614.55 14.5–14.6−0.91right
Financial Strength12.6813.0810.86 10.8–10.9−2.21wrong
Production & Innovation11.5712.819.40 9.3–9.4−3.41wrong
Trade & Investment11.3912.609.63 9.6–9.7−2.97wrong

The history it was played under: shocks and events

  • 1998 · S02 × 0.4 The Russian financial crisis cut exports and slowed growth, though the currency board held and the damage was temporary.
  • 2004 · S12 × 0.8 EU accession opened the single market and NATO entry anchored security, redirecting investment, trade and migration.
  • 2007 · S04 × 0.7 The Bronze Night riots and coordinated cyberattacks on banks, ministries and media tested internal security and digital resilience.
  • 2008 · S02 × 0.8 The global financial crisis caused a deep recession and GDP fall of about 14 per cent, with a severe property and credit contraction.
  • 2014 · S01 × 0.5 EU-Russia sanctions and Russian counter-embargo disrupted some food exports and increased economic and security uncertainty.
  • 2020 · S10 × 0.8 The COVID-19 pandemic strained health care and forced rapid digital schooling and remote work, though Estonia avoided some of the worst mortality.
  • 2022 · S03 × 0.9 Russia's invasion of Ukraine, though not on Estonian territory, brought energy supply cuts, defence emergency and a large refugee influx.

The pathway: what it prioritised, period by period

  • 1997–2001 · build · 2% each The national Tiger Leap programme connected schools to the internet and began aligning domestic law and administration with EU requirements. (Connectivity, Cyber & Trust Technologies, Digital & AI Competence, Regulatory Governance & Strategic Controls, Trade Policy & Market Access, Government Effectiveness & Public Administration)
  • 1998–2004 · partner · 5% each Closing the EU acquis communautaire and the NATO Membership Action Plan dominated Estonian state reform and external policy. (Justice System & Fundamental Rights, Regulatory Governance & Strategic Controls, Trade Policy & Market Access, Alliances & Security Cooperation, Diplomatic Statecraft & Global Networks)
  • 2000–2006 · build · 5% each X-Road, the national ID card, e-services and online banking made Estonia's digital state and startup-friendly economy a central national project. (Communications & Digital Infrastructure, Government Effectiveness & Public Administration, Digital & AI Competence, Financial Infrastructure, Business Dynamism & Entrepreneurship)
  • 2004–2009 · partner · 2% each NATO membership pushed the defence forces towards interoperability, modernised equipment and early cyber awareness. (Force Generation & Mobilisation, Land Power, Maritime Power, Air Power, Cyber & Electromagnetic Operations)
  • 2007–2013 · build · 2% each The 2007 cyberattacks turned cyber defence and digital resilience into a national security and NATO niche. (Cyber & Electromagnetic Operations, Connectivity, Cyber & Trust Technologies, National Resilience & Crisis Management, Information Environment & Strategic Communication, Government Effectiveness & Public Administration)
  • 2010–2014 · build · 5% each Fiscal consolidation and financial repair after the 2008 crisis locked in euro adoption and reinforced budget discipline. (Monetary & Currency Capability, Fiscal Capacity & Public Finance, Financial Regulation & Integrity, Financial Stability & Crisis Management, Economic Output & Productivity)
  • 2014–2022 · partner · 5% each Russia's 2014 aggression triggered higher defence spending, electricity and gas decoupling from Russia, and early national AI and data investment. (Force Generation & Mobilisation, Cyber & Electromagnetic Operations, Energy Infrastructure, Energy Technologies, Artificial Intelligence)
  • 2022–2026 · partner · 5% each The full-scale invasion of Ukraine accelerated rearmament, allied forward presence and completion of energy decoupling from Russia. (Land Power, Joint Command, Projection & Sustainment, Force Generation & Mobilisation, Energy Infrastructure, Digital & AI Competence)

Reconstruction notes (deepseek-v4-pro): The precise 1996 frontier benchmark for a small transition state is uncertain: many scores are inferred from aggregate data and may over- or understate inherited Soviet technical capacity. The mapping of real crises onto the event library is approximate, particularly for the 2007 cyberattacks and the 2022 regional war shock. Governance and digital capacities look strong in retrospect but were still young in 1996, so the established scores carry judgement.

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

Estonia played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 10.47 to a median of 9.74 (−0.72), with 90 per cent of simulations between 9.71 and 9.76 [experiment_objectives].

Starting position

In 1996 the nation ranks 44 on the index against the frozen field, holds 0 of nine domains at Tier 1 and has a tier rank of 50. 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 1,634 credits on moves. The five groups that took most were Force Generation & Mobilisation (partner, 170 credits, 10.4 per cent); Energy Infrastructure (partner, 122 credits, 7.5 per cent); Cyber & Electromagnetic Operations (partner, 110 credits, 6.7 per cent); Regulatory Governance & Strategic Controls (partner, 100 credits, 6.2 per cent); Trade Policy & Market Access (partner, 100 credits, 6.2 per cent) [experiment_decisions_by_group]. By mode: partner 67 per cent, build 33 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.060, 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, Governance & Integrity; rounds 11 to 15, National Security; rounds 16 to 20, Financial Strength; rounds 21 to 25, National Security; rounds 26 to 30, National Security [experiment_spend_by_period].

What the world did

A median simulation saw 6 shocks and 1 upside events. The most damaging per firing were S10 (30 firings in 30 simulations, −37.0 points each); S03 (30 firings in 30 simulations, −34.6 points each); S04 (30 firings in 30 simulations, −28.2 points each) [experiment_shocks]. Upside events fired 30 times across all simulations [experiment_shocks].

The groups that lost most to shocks, per simulation: Trade Facilitation & Logistics −3.82; Economic Leverage & Dependence −3.69; Fiscal Capacity & Public Finance −3.44; Investment Attraction & Projection −3.37 [experiment_shock_damage_by_group].

The edges that carried most change through the graph, per simulation: Semiconductors & Advanced Computing to Artificial Intelligence (−0.64 points); Economic Output & Productivity to Fiscal Capacity & Public Finance (−0.57 points); Diplomatic Statecraft & Global Networks to Trade Policy & Market Access (+0.27 points) [experiment_propagation_by_edge].

Where it ended

At 2026 the median rank is 48 (5th to 95th percentile 48 to 48), the median count of Tier 1 domains 1 (1 to 1) and the median tier rank 19; the resilient score, the mean score sum over simulations, is 698 [experiment_objectives].

Tier 1 probability changed most in: governance and integrity (0 to 100 per cent of simulations) [experiment_tiers_by_round].

Why

Without shocks the index ends +1.981 higher on average, so the shocks cost about 1.981 index points [experiment_probe_attribution].

Holding instead of following this method changes the index by −1.530: 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 −0.035 and +0.024, for example 1998 partner Justice System & Fundamental Rights (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 +0.587 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: 6 tiers (30 simulations above 2).

saturation_low (warn): 97% of simulations end with a group at 0 that did not start there (median 1 groups).

retired_words (warn): e4-est/report.md: 'simulations' 2 time(s), first near line 39; use 'simulations'.

The simulation furthest from the median (seed 19) ends −0.04 from it, with 6 shocks and 1 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 10.47 the model ends at 9.74, where the 2026 ratings put it at 11.49. Group scores miss by 2.51 points on average, against 1.27 for assuming nothing changed (skill −0.97); the change in each domain has the right sign in 22 per cent of domains. Furthest below history: production and innovation (−3.41); furthest above: strategic infrastructure (−0.64) [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−1.530−111.2−1.00
No shocks+1.981+137.0+2.00
Replay of the recorded actions (must change nothing)0.0000.00.00
Without the 1st largest decision−0.007−0.50.001998 partner Justice System & Fundamental Rights (15 credits)
Without the 2nd largest decision+0.008+0.6−0.801998 partner Regulatory Governance & Strategic Controls (15 credits)
Without the 3rd largest decision−0.035−2.90.001998 partner Trade Policy & Market Access (15 credits)
Without the 4th largest decision+0.024+1.9−0.201998 partner Alliances & Security Cooperation (15 credits)
Without the 5th largest decision−0.023−1.50.001998 partner Diplomatic Statecraft & Global Networks (15 credits)
Without the 1st largest shock+0.587+41.10.002020 S10 (-36.9 points)
Without the 2nd largest shock+0.500+36.30.002022 S03 (-34.6 points)
Without the 3rd largest shock+0.071+5.20.002007 S04 (-28.2 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 cent18.0−18.0
Global funding seizure S02Shock100 per cent7.0−16.1
Regional war spillover S03Shock100 per cent26.0−34.6
Hybrid coercion S04Shock100 per cent11.0−28.2
Severe pandemic S10Shock100 per cent24.0−37.0
Market access opening S12Upside100 per cent8.0+22.7

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
Cyber & Electromagnetic OperationsNational Security7.5313.48 13.27 to 13.59+5.957.78143
Alliances & Security CooperationInformation & Influence11.2217.00 16.94 to 17.06+5.788.0990
Trade Policy & Market AccessTrade & Investment12.5317.20 17.11 to 17.26+4.678.13130
Force Generation & MobilisationNational Security10.5014.91 14.83 to 14.98+4.416.25170
Digital & AI CompetenceHuman Capital13.3917.44 17.36 to 17.51+4.054.3157
Energy TechnologiesCritical Technology4.788.66 8.41 to 8.82+3.885.8674
Regulatory Governance & Strategic ControlsGovernance & Integrity14.4318.20 18.19 to 18.22+3.774.31130
Energy InfrastructureStrategic Infrastructure10.6114.06 13.97 to 14.24+3.455.14122
Connectivity, Cyber & Trust TechnologiesCritical Technology9.6312.09 12.08 to 12.09+2.463.9062
Diplomatic Statecraft & Global NetworksInformation & Influence9.9312.23 12.18 to 12.29+2.304.6964
Justice System & Fundamental RightsGovernance & Integrity13.3815.49 15.48 to 15.51+2.113.10101
Government Effectiveness & Public AdministrationGovernance & Integrity14.8816.85 16.82 to 16.88+1.973.3392
Land PowerNational Security9.3310.67 10.55 to 10.77+1.342.6665
Communications & Digital InfrastructureStrategic Infrastructure13.1613.86 13.80 to 13.92+0.702.2446
Monetary & Currency CapabilityFinancial Strength15.2315.16 15.08 to 15.20−0.072.5867
Joint Command, Projection & SustainmentNational Security7.697.60 7.57 to 7.64−0.092.2348
National Resilience & Crisis ManagementGovernance & Integrity13.8513.72 13.67 to 13.79−0.131.4133
Technical & Vocational SkillsHuman Capital12.0911.95 11.94 to 11.97−0.140.000
Nuclear DeterrenceNational Security0.360.00 0.00 to 0.00−0.360.000
Advanced EducationHuman Capital13.9513.49 13.48 to 13.51−0.460.000
Lifelong Learning & ReskillingHuman Capital11.6111.07 11.05 to 11.09−0.540.000
Research Talent & Knowledge CreationHuman Capital12.4311.88 11.87 to 11.90−0.550.000
Information Environment & Strategic CommunicationInformation & Influence8.978.41 8.31 to 8.48−0.562.1331
Air PowerNational Security4.674.10 4.06 to 4.13−0.571.1918
Early Childhood DevelopmentHuman Capital14.7014.08 14.04 to 14.11−0.620.000
Public Integrity & Anti-CorruptionGovernance & Integrity14.3913.69 13.62 to 13.74−0.700.000
Foundational EducationHuman Capital14.5513.73 13.68 to 13.79−0.820.000
Political Institutions & Civic ParticipationGovernance & Integrity14.3713.47 13.44 to 13.47−0.900.000
Transparency, Oversight & AccountabilityGovernance & Integrity14.3613.45 13.44 to 13.46−0.910.000
Population HealthHuman Capital10.939.92 9.89 to 9.94−1.010.000
Internal Security & OrderGovernance & Integrity12.6811.53 11.47 to 11.58−1.150.000
Financial InfrastructureStrategic Infrastructure13.3012.10 12.06 to 12.14−1.200.396
Health System CapabilityHuman Capital12.9511.71 11.66 to 11.76−1.240.000
Artificial IntelligenceCritical Technology7.346.05 5.89 to 6.26−1.290.9211
Financial Regulation & IntegrityFinancial Strength13.9312.63 12.57 to 12.70−1.300.7014
Water, Sanitation & Waste InfrastructureStrategic Infrastructure11.5210.21 10.13 to 10.27−1.310.000
Advanced ManufacturingStrategic Infrastructure10.569.11 9.02 to 9.22−1.450.000
Agriculture & Food InfrastructureStrategic Infrastructure10.428.91 8.87 to 8.95−1.510.000
Transport InfrastructureStrategic Infrastructure11.7910.27 10.20 to 10.33−1.520.000
Technology Adoption & DiffusionProduction & Innovation12.1010.54 10.47 to 10.59−1.560.000
Space, Aerospace & Defence InfrastructureStrategic Infrastructure5.954.33 4.29 to 4.37−1.620.000
Quantum TechnologiesCritical Technology4.342.66 2.65 to 2.67−1.680.000
Business Dynamism & EntrepreneurshipProduction & Innovation14.0812.36 12.27 to 12.49−1.720.000
Social InfrastructureStrategic Infrastructure13.4311.70 11.61 to 11.84−1.730.000
Maritime PowerNational Security7.365.63 5.59 to 5.66−1.731.0418
Digital & Services TradeTrade & Investment12.2510.52 10.46 to 10.57−1.730.000
Robotics & Autonomous SystemsCritical Technology5.643.89 3.87 to 3.92−1.750.000
Space TechnologiesCritical Technology2.951.19 1.17 to 1.21−1.760.000
Innovation & CommercialisationProduction & Innovation10.798.98 8.94 to 9.02−1.810.000
Diaspora & Global CommunitiesInformation & Influence9.207.38 7.38 to 7.38−1.820.000
Sensing, Timing & NavigationCritical Technology3.431.57 1.51 to 1.62−1.860.000
Culture, Language & Education DiplomacyInformation & Influence8.036.15 6.14 to 6.15−1.880.000
Resource InfrastructureStrategic Infrastructure9.557.62 7.55 to 7.69−1.930.000
Advanced Materials & ManufacturingCritical Technology3.851.85 1.84 to 1.85−2.000.000
Semiconductors & Advanced ComputingCritical Technology2.510.49 0.48 to 0.50−2.020.000
Intelligence & AssessmentNational Security8.656.60 6.52 to 6.65−2.050.000
Industrial & Sectoral BaseProduction & Innovation11.129.04 8.97 to 9.07−2.080.000
Structural Transformation & ComplexityProduction & Innovation11.439.32 9.26 to 9.37−2.110.000
Space OperationsNational Security4.582.47 2.38 to 2.52−2.110.000
Development Cooperation & Global AssistanceInformation & Influence5.623.51 3.47 to 3.56−2.110.000
Financial Stability & Crisis ManagementFinancial Strength12.8410.64 10.55 to 10.70−2.200.296
Sovereign Capital & External Financial PowerFinancial Strength7.245.03 4.99 to 5.09−2.210.000
Financial System Depth & AccessFinancial Strength11.759.30 9.28 to 9.33−2.450.000
Biotechnology & Health TechnologiesCritical Technology6.794.29 4.29 to 4.30−2.500.000
Strategic Strike & Missile DefenceNational Security5.102.53 2.43 to 2.60−2.570.000
Global Value Chain PositionTrade & Investment12.379.75 9.65 to 9.80−2.620.000
Investment Attraction & ProjectionTrade & Investment11.929.28 9.22 to 9.36−2.640.000
Economic Output & ProductivityProduction & Innovation9.747.09 7.05 to 7.11−2.650.000
Fiscal Capacity & Public FinanceFinancial Strength15.0912.42 12.19 to 12.62−2.671.0935
Export Capability & SophisticationTrade & Investment9.076.07 6.03 to 6.13−3.000.000
Trade Facilitation & LogisticsTrade & Investment13.039.82 9.77 to 9.86−3.210.000
Labour & EmploymentProduction & Innovation11.718.47 8.41 to 8.52−3.240.000
Economic Leverage & DependenceTrade & Investment8.534.76 4.69 to 4.91−3.770.000

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 20.000
  • 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 9.8e-07 points
  • passmove_without_shocklargest one-year move in a group with no shock landing: 1.82 points; 0% of simulations have one above 3
  • warntier_jumplargest gain in one domain within five years: 6 tiers (30 simulations above 2)
  • passall_tier1_from_outside_top10starting rank 44; 0 simulations reach Tier 1 in all nine domains
  • passsaturation_high0% of simulations end with a group at 20 that did not start there (median 0 groups)
  • warnsaturation_low97% of simulations end with a group at 0 that did not start there (median 1 groups)
  • passspend_concentrationmedian concentration of spending across groups (HHI) 0.060; most funded group hard.national_security.force_generation_and_mobilisation
  • passsame_actionthe most repeated move (group and mode) appears in a median 50% of rounds

Settings and versions

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

Nation
Estonia (EST)
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, Market access opening in year 8, Hybrid coercion in year 11, Global funding seizure in year 12, Trade bloc rupture in year 18, Severe pandemic in year 24, Regional war spillover 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 294.8 a round, moving with the economic groups
Versions
Model 0.1.0, Capability Dependency Graph 0.2.0, parameters 0.1.0
Batch
Backcast 1996-2026 (cycle-002), cycle 2 of the improvement loop
Runtime
4.4 seconds in all; 1063 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.