E4 · cycle-003.e4-tur

Türkiye, scripted, 30 years from 1996

30 simulations of 30 rounds from the 1996 position. Türkiye decides by the scripted method; scripted events: Legitimacy rupture in year 1, Core disaster in year 3, Global funding seizure in year 5, Global funding seizure in year 12, Regional war spillover in year 15, Legitimacy rupture in year 20, Severe pandemic in year 24, Regional war spillover in year 26, Core disaster 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
8.23 (−2.60)
From 10.83; 8.22 to 8.25
Rank by index
64
From 36; 64 to 64
Domains at Tier 1
0
From 0; 0 to 0
Tier rank
31
From 26; 31 to 31

Capability index by round

Rank by index, by round

Every objective at the position and at the horizon
Objective199610th percentileMedian90th percentileBetter
Capability indexprimary10.838.228.238.25higher
Rank by index36646464lower
Tier rank26313131lower
Domains at Tier 10000higher
Score sum780.6609.2610.1610.9higher
Goal-weighted score780.6609.2610.1610.9higher
Resilient score780.6610.0 (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 1,939 credits a simulation spent on actions.

Against history

Started from a reconstructed 1996 position and played along the pathway and shocks Türkiye 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
10.83
reconstructed
Observed 2026
12.18
the Index's rating
Simulated 2026
8.23
8.16 to 8.31
Skill against persistence
−1.45
group error 4.09 against 1.67 if nothing changed
Domain1996ObservedSimulatedBiasDirection
Critical Technology7.089.578.13 8.1–8.2−1.44right
Strategic Infrastructure12.0313.6010.46 10.3–10.6−3.14wrong
National Security11.1612.688.82 8.7–8.9−3.85wrong
Human Capital9.9612.248.16 8.1–8.2−4.08wrong
Information & Influence12.8614.499.54 9.5–9.6−4.95wrong
Governance & Integrity10.2310.618.04 8.0–8.1−2.56wrong
Financial Strength10.0211.135.81 5.8–5.9−5.32wrong
Production & Innovation11.5512.187.35 7.3–7.4−4.82wrong
Trade & Investment12.6013.127.81 7.7–7.9−5.31wrong

The history it was played under: shocks and events

  • 1997 · S05 × 0.5 The 1997 military intervention, often called the post-modern coup, forced the Islamist-led coalition government to resign and broke the elected government's authority without a full regime rupture.
  • 1999 · S07 × 0.9 The İzmit earthquake struck Turkey's industrial heartland, killing about 17,000 people and disabling the economic core around the Marmara region.
  • 2001 · S02 × 0.9 A domestic banking and currency crisis collapsed the lira and many banks, forcing a major IMF rescue and a severe recession.
  • 2008 · S02 × 0.7 The global financial crisis hit Turkish exports and credit markets, though the banking sector had been partly recapitalised after 2001.
  • 2011 · S03 × 0.8 The Syrian civil war began on Turkey's border, bringing refugees, cross-border insecurity and disrupted regional trade over the following years.
  • 2016 · S05 × 0.8 The failed 15 July coup attempt, followed by a state of emergency and mass purges, constituted a major contested transfer of power and legitimacy rupture.
  • 2020 · S10 × 0.8 The COVID-19 pandemic produced large case numbers, collapsed tourism revenue and strained Turkey's hospital capacity.
  • 2022 · S03 × 0.6 Russia's invasion of Ukraine disrupted Black Sea shipping and raised energy and food import prices, while Turkey's mediation role partly cushioned the shock.
  • 2023 · S07 × 1.2 The Kahramanmaraş earthquakes killed more than 50,000 people and destroyed large parts of the southern economic core, exceeding the severe-case disaster scenario.

The pathway: what it prioritised, period by period

  • 1997–2001 · partner · 2% each The 1996 EU customs union and later IMF programmes pushed tariff alignment, regulatory harmonisation and fiscal stabilisation, though stabilisation repeatedly failed until after the 2001 crisis. (Regulatory Governance & Strategic Controls, Monetary & Currency Capability, Fiscal Capacity & Public Finance, Trade Policy & Market Access, Government Effectiveness & Public Administration)
  • 1997–2002 · build · 1% each Late-1990s public investment and privatisations expanded motorways, dams, irrigation, telecoms and energy supply before and alongside the 1999 earthquake recovery. (Transport Infrastructure, Energy Infrastructure, Water, Sanitation & Waste Infrastructure, Communications & Digital Infrastructure, Agriculture & Food Infrastructure)
  • 2002–2007 · partner · 2% each AKP governments used the EU candidacy process to legislate reforms, extend compulsory education to eight years and launch the Health Transformation Programme. (Health System Capability, Foundational Education, Justice System & Fundamental Rights, Government Effectiveness & Public Administration, Financial Regulation & Integrity)
  • 2005–2015 · build · 2% each The state and private concessionaires built divided highways, high-speed rail, airports, hydro/thermal power, public housing and mobile/internet networks. (Transport Infrastructure, Communications & Digital Infrastructure, Financial Infrastructure, Social Infrastructure, Energy Infrastructure)
  • 2010–2025 · build · 5% each Embargoes and the PKK conflict drove indigenous armed UAV, missile, warship and aircraft programmes such as Bayraktar TB2, MILGEM and TAI projects. (Air Power, Sensing, Timing & Navigation, Robotics & Autonomous Systems, Space, Aerospace & Defence Infrastructure, Advanced Materials & Manufacturing)
  • 2020–2026 · build · 2% each COVID-19, the 2023 earthquakes and the 2021-2024 inflation crisis forced rebuilding, health surge investment and a return to orthodox monetary policy under Mehmet Şimşek. (National Resilience & Crisis Management, Health System Capability, Population Health, Monetary & Currency Capability, Fiscal Capacity & Public Finance)

Reconstruction notes (deepseek-v4-pro): The main uncertainty is the relative benchmark: Turkey's 1996 capabilities are inferred from late-1990s data and are subject to comparison error against world leaders. The mapping of real events to the synthetic event library is approximate, particularly the severity of the 1997 military intervention, Syria spillover and 2023 earthquake. Some scores, especially in critical technologies and governance, rely on thin or politicised reporting.

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

Türkiye played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 10.83 to a median of 8.23 (−2.60), with 90 per cent of simulations between 8.22 and 8.25 [experiment_objectives].

Starting position

In 1996 the nation ranks 36 on the index against the frozen field, holds 0 of nine domains at Tier 1 and has a tier rank of 26. Its base income is 393 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.

What was decided

A simulation spent a median of 1,940 credits on moves. The five groups that took most were Air Power (build, 247 credits, 12.8 per cent); Sensing, Timing & Navigation (build, 245 credits, 12.7 per cent); Robotics & Autonomous Systems (build, 208 credits, 10.7 per cent); Space, Aerospace & Defence Infrastructure (build, 162 credits, 8.4 per cent); Advanced Materials & Manufacturing (build, 157 credits, 8.1 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 0.074, and the most repeated action appeared in 57 per cent of rounds.

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

What the world did

A median simulation saw 9 shocks and 0 upside events. The most damaging per firing were S07 (60 firings in 30 simulations, −36.5 points each); S03 (60 firings in 30 simulations, −29.5 points each); S10 (30 firings in 30 simulations, −23.9 points each) [experiment_shocks].

The groups that lost most to shocks, per simulation: Fiscal Capacity & Public Finance −7.38; Trade Facilitation & Logistics −6.90; Monetary & Currency Capability −5.43; Financial System Depth & Access −5.43 [experiment_shock_damage_by_group].

The edges that carried most change through the graph, per simulation: Fiscal Capacity & Public Finance to Force Generation & Mobilisation (−1.11 points); Fiscal Capacity & Public Finance to Social Infrastructure (−0.87 points); Fiscal Capacity & Public Finance to Transport Infrastructure (−0.66 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 31; the resilient score, the mean score sum over simulations, is 610 [experiment_objectives].

Why

Without shocks the index ends +3.646 higher on average, so the shocks cost about 3.646 index points [experiment_probe_attribution].

Holding instead of following this method changes the index by −1.197: 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 +0.004, for example 2010 build Air Power (17 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 +0.625 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 15) ends −0.02 from it, with 9 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 10.83 the model ends at 8.23, where the 2026 ratings put it at 12.18. Group scores miss by 4.09 points on average, against 1.67 for assuming nothing changed (skill −1.45); the change in each domain has the right sign in 11 per cent of domains. Furthest below history: financial strength (−5.32); furthest above: critical technology (−1.44) [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−1.197−96.80.00
No shocks+3.646+254.60.00
Replay of the recorded actions (must change nothing)0.0000.00.00
Without the 1st largest decision+0.004+0.30.002010 build Air Power (17 credits)
Without the 2nd largest decision+0.001+0.10.002010 build Sensing, Timing & Navigation (17 credits)
Without the 3rd largest decision+0.001+0.10.002010 build Robotics & Autonomous Systems (17 credits)
Without the 4th largest decision−0.001−0.10.002010 build Space, Aerospace & Defence Infrastructure (17 credits)
Without the 5th largest decision+0.001+0.10.002010 build Advanced Materials & Manufacturing (17 credits)
Without the 1st largest shock+0.625+44.10.002023 S07 (-40.9 points)
Without the 2nd largest shock+0.495+35.80.002011 S03 (-33.7 points)
Without the 3rd largest shock+0.566+40.60.001999 S07 (-32.1 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 cent8.5−14.0
Regional war spillover S03Shock100 per cent20.5−29.5
Legitimacy rupture S05Shock100 per cent10.5−23.4
Core disaster S07Shock100 per cent15.0−36.5
Severe pandemic S10Shock100 per cent24.0−23.9

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
Sensing, Timing & NavigationCritical Technology6.5814.49 14.44 to 14.53+7.919.27246
Robotics & Autonomous SystemsCritical Technology6.7714.20 14.15 to 14.24+7.438.83208
Advanced Materials & ManufacturingCritical Technology8.6313.57 13.36 to 13.72+4.946.48157
Air PowerNational Security14.0617.79 17.67 to 17.91+3.735.96247
Space, Aerospace & Defence InfrastructureStrategic Infrastructure12.3113.99 13.80 to 14.16+1.685.30163
Communications & Digital InfrastructureStrategic Infrastructure12.1113.55 13.51 to 13.61+1.444.4498
Financial InfrastructureStrategic Infrastructure11.9512.65 12.50 to 12.75+0.704.2775
Foundational EducationHuman Capital10.259.85 9.77 to 9.89−0.402.3243
Regulatory Governance & Strategic ControlsGovernance & Integrity10.6310.04 10.04 to 10.04−0.591.8238
Nuclear DeterrenceNational Security2.061.41 1.40 to 1.42−0.650.000
Space TechnologiesCritical Technology4.693.94 3.91 to 3.96−0.750.000
Semiconductors & Advanced ComputingCritical Technology5.074.13 4.12 to 4.15−0.940.000
Justice System & Fundamental RightsGovernance & Integrity9.148.20 8.16 to 8.25−0.942.0243
Quantum TechnologiesCritical Technology6.134.88 4.85 to 4.96−1.250.000
Energy InfrastructureStrategic Infrastructure9.818.52 8.44 to 8.57−1.293.9698
Connectivity, Cyber & Trust TechnologiesCritical Technology8.066.73 6.71 to 6.75−1.330.000
Trade Policy & Market AccessTrade & Investment15.3313.80 13.67 to 13.88−1.533.2938
Artificial IntelligenceCritical Technology8.877.25 7.19 to 7.28−1.620.000
Health System CapabilityHuman Capital10.398.72 8.61 to 8.85−1.672.4248
Digital & AI CompetenceHuman Capital9.858.04 8.01 to 8.10−1.810.000
Space OperationsNational Security6.374.54 4.50 to 4.59−1.830.000
Energy TechnologiesCritical Technology6.364.50 4.47 to 4.53−1.860.000
Lifelong Learning & ReskillingHuman Capital9.097.21 7.18 to 7.24−1.880.000
Advanced EducationHuman Capital10.108.17 8.12 to 8.23−1.930.000
Technical & Vocational SkillsHuman Capital10.338.37 8.35 to 8.41−1.960.000
Transport InfrastructureStrategic Infrastructure12.1910.17 9.97 to 10.39−2.023.5698
Government Effectiveness & Public AdministrationGovernance & Integrity11.989.91 9.86 to 9.98−2.072.9981
Biotechnology & Health TechnologiesCritical Technology9.667.57 7.52 to 7.62−2.090.000
Research Talent & Knowledge CreationHuman Capital9.297.18 7.15 to 7.22−2.110.000
Public Integrity & Anti-CorruptionGovernance & Integrity9.076.89 6.85 to 6.95−2.180.000
Population HealthHuman Capital9.537.33 7.30 to 7.35−2.200.065
Early Childhood DevelopmentHuman Capital10.868.56 8.50 to 8.61−2.300.000
Transparency, Oversight & AccountabilityGovernance & Integrity8.896.46 6.44 to 6.49−2.430.000
Social InfrastructureStrategic Infrastructure10.417.93 7.85 to 8.18−2.483.1975
Financial Regulation & IntegrityFinancial Strength10.978.34 8.34 to 8.35−2.632.5543
Political Institutions & Civic ParticipationGovernance & Integrity10.157.49 7.41 to 7.51−2.660.000
Cyber & Electromagnetic OperationsNational Security9.316.62 6.59 to 6.66−2.690.000
Advanced ManufacturingStrategic Infrastructure12.159.35 9.24 to 9.47−2.800.000
Agriculture & Food InfrastructureStrategic Infrastructure15.4312.59 12.45 to 12.70−2.840.6723
Internal Security & OrderGovernance & Integrity10.968.12 8.06 to 8.16−2.840.000
Diaspora & Global CommunitiesInformation & Influence12.299.41 9.39 to 9.41−2.880.000
Land PowerNational Security16.2713.33 13.14 to 13.57−2.940.000
Culture, Language & Education DiplomacyInformation & Influence11.308.29 8.23 to 8.33−3.010.000
Intelligence & AssessmentNational Security13.069.97 9.92 to 10.03−3.090.000
Diplomatic Statecraft & Global NetworksInformation & Influence14.1811.04 10.95 to 11.15−3.140.000
Alliances & Security CooperationInformation & Influence16.3413.17 13.09 to 13.25−3.170.000
Strategic Strike & Missile DefenceNational Security9.876.62 6.53 to 6.75−3.250.000
Monetary & Currency CapabilityFinancial Strength9.135.85 5.74 to 5.97−3.282.5743
Technology Adoption & DiffusionProduction & Innovation10.376.93 6.89 to 6.97−3.440.000
Sovereign Capital & External Financial PowerFinancial Strength8.424.90 4.84 to 4.96−3.520.000
Innovation & CommercialisationProduction & Innovation9.876.30 6.25 to 6.36−3.570.000
Development Cooperation & Global AssistanceInformation & Influence12.098.47 8.27 to 8.58−3.620.000
Water, Sanitation & Waste InfrastructureStrategic Infrastructure10.807.16 7.02 to 7.30−3.640.9523
National Resilience & Crisis ManagementGovernance & Integrity11.007.25 7.17 to 7.30−3.750.065
Maritime PowerNational Security12.228.27 8.23 to 8.34−3.950.000
Joint Command, Projection & SustainmentNational Security12.828.76 8.66 to 8.82−4.060.000
Information Environment & Strategic CommunicationInformation & Influence10.946.85 6.80 to 6.90−4.090.000
Structural Transformation & ComplexityProduction & Innovation12.188.05 7.98 to 8.14−4.130.000
Business Dynamism & EntrepreneurshipProduction & Innovation12.268.06 7.92 to 8.23−4.200.000
Labour & EmploymentProduction & Innovation9.925.64 5.57 to 5.71−4.280.000
Financial Stability & Crisis ManagementFinancial Strength10.275.90 5.82 to 5.96−4.370.000
Digital & Services TradeTrade & Investment13.479.09 9.03 to 9.16−4.380.000
Resource InfrastructureStrategic Infrastructure13.208.70 8.56 to 8.89−4.500.000
Economic Output & ProductivityProduction & Innovation11.637.13 7.05 to 7.19−4.500.000
Force Generation & MobilisationNational Security15.6010.88 10.52 to 11.16−4.720.000
Export Capability & SophisticationTrade & Investment11.646.71 6.63 to 6.83−4.930.000
Global Value Chain PositionTrade & Investment12.787.84 7.80 to 8.01−4.940.000
Investment Attraction & ProjectionTrade & Investment11.065.83 5.81 to 5.88−5.230.000
Industrial & Sectoral BaseProduction & Innovation14.639.37 9.31 to 9.44−5.260.000
Financial System Depth & AccessFinancial Strength10.985.57 5.56 to 5.58−5.410.000
Economic Leverage & DependenceTrade & Investment11.245.83 5.69 to 5.90−5.410.000
Fiscal Capacity & Public FinanceFinancial Strength10.324.27 4.18 to 4.37−6.051.9739
Trade Facilitation & LogisticsTrade & Investment12.665.53 5.49 to 5.57−7.130.000

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-13
  • passscores_in_boundsscores range 1.394 to 18.038
  • 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 9.7e-07 points
  • passmove_without_shocklargest one-year move in a group with no shock landing: 0.91 points; 0% of simulations have one above 3
  • passtier_jumplargest gain in one domain within five years: 3 tiers (30 simulations above 2); tiers are reported, not an objective
  • passall_tier1_from_outside_top10starting rank 36; 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) 0.074; most funded group hard.national_security.air_power
  • passsame_actionthe most repeated move (group and mode) appears in a median 57% of rounds
  • passregression_index_p50index_p50 moved 13.3% since cycle-002 (7.27 to 8.23); versions changed (0.1.0 to 0.1.1, graph 0.2.0 to 0.2.0)
  • passregression_score_sum_p50score_sum_p50 moved 13.7% since cycle-002 (536.57 to 610.05); versions changed (0.1.0 to 0.1.1, graph 0.2.0 to 0.2.0)

Settings and versions

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

Nation
Türkiye (TUR)
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: Legitimacy rupture in year 1, Core disaster in year 3, Global funding seizure in year 5, Global funding seizure in year 12, Regional war spillover in year 15, Legitimacy rupture in year 20, Severe pandemic in year 24, Regional war spillover in year 26, Core disaster 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 392.5 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
7.4 seconds in all; 1827 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.