E4 · cycle-003.e4-rwa

Rwanda, scripted, 30 years from 1996

30 simulations of 30 rounds from the 1996 position. Rwanda decides by the scripted method; scripted events: Regional war spillover in year 2, Breadbasket failure in year 4, Global funding seizure in year 12, Severe pandemic in year 24, Breadbasket failure in year 26.

Model 0.2.0 · graph 0.2.0 · parameters 0.1.1 · seeds 1–30 · elasticity sampled within each bracket

The same configuration in other cycles: cycle 2.

Every simulation · Compare with another experiment · More experiments like this

Not a forecast

Simulations of a structural model with seed parameter values, to compare methods and test the model. Other nations stay at their 2026 ratings throughout.

Outcome across simulations

The median at 2026, with the 10th to the 90th percentile of the 30 simulations under it.

Capability index: 4.54 (−0.59); From 5.13; 4.54 to 4.55
Rank by index: 130; From 116; 130 to 130
Domains at Tier 1: 0; From 0; 0 to 0
Tier rank: 103; From 101; 103 to 103

Capability index by round

Rank by index, by round

Every objective at the position and at the horizon
Objective	1996	10th percentile	Median	90th percentile	Better
Capability indexprimary	5.13	4.54	4.54	4.55	higher
Rank by index	116	130	130	130	lower
Tier rank	101	103	103	103	lower
Domains at Tier 1	0	0	0	0	higher
Score sum	366.4	327.1	327.3	327.8	higher
Goal-weighted score	366.4	327.1	327.3	327.8	higher
Resilient score	366.4	327.4 (mean score sum over the simulations)			higher

The capability index is the mean of the three dimensions, each the mean of its domains, each the mean of its groups. Tiers are Pareto layers within each domain; the tier rank orders nations by domains held at Tier 1, then Tier 2, and so on. The goal-weighted score is the score sum unless the experiment sets a goal. The primary objective is the one the experiment is judged on; every other objective is reported beside it.

Credits

What each round’s credits went on in the median simulation. Across all simulations, build took 83 per cent, buy took 0 per cent, partner took 17 per cent of the 345 credits a simulation spent on actions.

Against history

Started from a reconstructed 1996 position and played along the pathway and shocks Rwanda actually had, then scored against the 2026 ratings. The position is an estimate, so part of any error is the reconstruction's. The calibration summary across all fifty nations is on the cycle's page under Loop.

Index 1996: 5.13; reconstructed
Observed 2026: 5.95; the Index's rating
Simulated 2026: 4.54; 4.52 to 4.56
Skill against persistence: −0.41; group error 1.66 against 1.18 if nothing changed

Domain	1996	Observed	Simulated	Bias	Direction
Critical Technology	2.13	1.86	2.09 2.1–2.1	+0.23	wrong
Strategic Infrastructure	5.76	5.80	5.30 5.3–5.3	−0.50	wrong
National Security	3.89	3.76	3.44 3.4–3.5	−0.31	wrong
Human Capital	6.40	6.90	6.08 6.1–6.1	−0.82	wrong
Information & Influence	5.31	6.73	4.40 4.4–4.4	−2.33	wrong
Governance & Integrity	6.14	8.65	5.72 5.7–5.7	−2.93	wrong
Financial Strength	6.10	7.23	4.74 4.7–4.8	−2.50	wrong
Production & Innovation	5.13	6.06	4.68 4.7–4.7	−1.38	wrong
Trade & Investment	5.36	6.55	4.43 4.4–4.5	−2.12	wrong

The history it was played under: shocks and events

1998 · S03 × 0.4 Rwanda's military intervention and subsequent involvement in the Second Congo War destabilised the region, diverted budget resources and disrupted cross-border trade, though it did not close a globally important sea route.
2000 · S06 × 0.3 Drought in parts of Rwanda caused localised crop failure and food insecurity, straining the recovering agricultural system.
2008 · S02 × 0.4 The global financial crisis reduced aid disbursements, remittances and export demand, tightening Rwanda's balance of payments and fiscal space.
2020 · S10 × 0.8 COVID-19 reached Rwanda in March 2020; strict lockdowns and border closures caused the first recession since 1994 and sharply cut services and trade, though case mortality was low.
2022 · S06 × 0.5 Russia's invasion of Ukraine drove up wheat, fertiliser and fuel prices, causing food insecurity and inflation in Rwanda and forcing costly import subsidies.

The pathway: what it prioritised, period by period

1997–2000 · build · 2% each The Government of National Unity prioritised restoring security, reopening clinics and schools, and rebuilding subsistence agriculture after the 1994 genocide. (Internal Security & Order, Justice System & Fundamental Rights, Population Health, Social Infrastructure, Agriculture & Food Infrastructure)
2001–2007 · build · 2% each Vision 2020 and the first PRSP channelled aid into primary schooling, basic ICT, roads and power under a strong decentralised administration. (Foundational Education, Communications & Digital Infrastructure, Government Effectiveness & Public Administration, Energy Infrastructure, Transport Infrastructure)
2008–2012 · partner · 2% each After joining the East African Community in 2007, Rwanda aligned trade policy, improved the investment climate and deepened financial inclusion through Vision 2020 Umurenge. (Trade Policy & Market Access, Investment Attraction & Projection, Transport Infrastructure, Business Dynamism & Entrepreneurship, Financial System Depth & Access)
2013–2017 · build · 5% each The second EDPRS and Smart Rwanda pushed fibre backbone, e-government, digital skills and agricultural intensification, with anti-corruption as a flagship. (Connectivity, Cyber & Trust Technologies, Digital & AI Competence, Technology Adoption & Diffusion, Public Integrity & Anti-Corruption, Agriculture & Food Infrastructure)
2018–2024 · build · 2% each National Strategy for Transformation prioritised electricity access, Kigali logistics and aviation, light manufacturing, and health system expansion including the BioNTech vaccine plant. (Energy Infrastructure, Transport Infrastructure, Advanced Manufacturing, Industrial & Sectoral Base, Health System Capability)
2025–2026 · partner · 2% each Rwanda's National AI Policy and innovation partnerships seek to position Kigali as a regional AI and fintech hub. (Artificial Intelligence, Connectivity, Cyber & Trust Technologies, Digital & AI Competence, Innovation & Commercialisation)

Reconstruction notes (deepseek-v4-pro): The 1996 baseline is extremely uncertain because Rwanda's statistical system had collapsed after the 1994 genocide, so many scores are inferential from later surveys. Military and security capabilities are particularly hard to benchmark, and aid dependence means fiscal and external scores may overstate autonomous capacity. The mapping of real events to library shocks is approximate, especially for the Congo wars which had no direct analogue.

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

Rwanda played 30 rounds from 1996 under the scripted method, with scripted events, 30 times. Its capability index moved from 5.13 to a median of 4.54 (−0.59), with 90 per cent of simulations between 4.54 and 4.55 [experiment_objectives].

Starting position

In 1996 the nation ranks 116 on the index against the frozen field, holds 0 of nine domains at Tier 1 and has a tier rank of 101. Its base income is 101 credits a year, calibrated so that its 2026 position is affordable with headroom for investment.

What was decided

A simulation spent a median of 344 credits on moves. The five groups that took most were Agriculture & Food Infrastructure (build, 31 credits, 9.0 per cent); Energy Infrastructure (build, 26 credits, 7.5 per cent); Transport Infrastructure (build, 26 credits, 7.5 per cent); Public Integrity & Anti-Corruption (build, 23 credits, 6.7 per cent); Connectivity, Cyber & Trust Technologies (build, 23 credits, 6.7 per cent) [experiment_decisions_by_group]. By mode: build 83 per cent, partner 17 per cent [experiment_decisions_by_group]. Concentration of spending (HHI) had a median of 0.059, and the most repeated action appeared in 47 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, Trade & Investment; 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 5 shocks and 0 upside events. The most damaging per firing were S10 (30 firings in 30 simulations, −13.7 points each); S03 (30 firings in 30 simulations, −12.5 points each); S06 (60 firings in 30 simulations, −12.3 points each) [experiment_shocks].

The groups that lost most to shocks, per simulation: Fiscal Capacity & Public Finance −2.12; Trade Facilitation & Logistics −1.99; Monetary & Currency Capability −1.53; Government Effectiveness & Public Administration −1.48 [experiment_shock_damage_by_group].

The edges that carried most change through the graph, per simulation: Connectivity, Cyber & Trust Technologies to Cyber & Electromagnetic Operations (+0.41 points); Fiscal Capacity & Public Finance to Social Infrastructure (−0.33 points); Fiscal Capacity & Public Finance to Force Generation & Mobilisation (−0.31 points) [experiment_propagation_by_edge].

Where it ended

At 2026 the median rank is 130 (5th to 95th percentile 130 to 130), the median count of Tier 1 domains 0 (0 to 0) and the median tier rank 103; the resilient score, the mean score sum over simulations, is 327 [experiment_objectives].

Why

Without shocks the index ends +0.983 higher on average, so the shocks cost about 0.983 index points [experiment_probe_attribution].

Holding instead of following this method changes the index by −0.340: 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 −0.006 and −0.003, for example 2017 build Connectivity, Cyber & Trust Technologies (5 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 +0.237 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 −0.01 from it, with 5 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 5.13 the model ends at 4.54, where the 2026 ratings put it at 5.95. Group scores miss by 1.66 points on average, against 1.18 for assuming nothing changed (skill −0.41); the change in each domain has the right sign in 0 per cent of domains. Furthest below history: governance and integrity (−2.93); furthest above: critical technology (+0.23) [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.

Probe	Index	Score sum	For example
Hold instead of the method	−0.340	−25.6
No shocks	+0.983	+68.4
Replay of the recorded actions (must change nothing)	0.000	0.0
Without the 1st largest decision	−0.005	−0.5	2017 build Connectivity, Cyber & Trust Technologies (5 credits)
Without the 2nd largest decision	−0.006	−0.5	2017 build Digital & AI Competence (5 credits)
Without the 3rd largest decision	−0.006	−0.4	2017 build Technology Adoption & Diffusion (5 credits)
Without the 4th largest decision	−0.004	−0.3	2017 build Public Integrity & Anti-Corruption (5 credits)
Without the 5th largest decision	−0.003	−0.2	2017 build Agriculture & Food Infrastructure (5 credits)
Without the 1st largest shock	+0.237	+16.5	2022 S06 (-15.1 points)
Without the 2nd largest shock	+0.215	+14.9	2020 S10 (-13.7 points)
Without the 3rd largest shock	+0.196	+14.1	1998 S03 (-12.5 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 S02	Shock	100 per cent	12.0	−7.0
Regional war spillover S03	Shock	100 per cent	2.0	−12.5
Breadbasket failure S06	Shock	100 per cent	15.0	−12.3
Severe pandemic S10	Shock	100 per cent	24.0	−13.7

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.

Find a group

Domain

73 of 73 groups

Capability group	Domain	1996	2026	Change	Levels invested	Credits
Connectivity, Cyber & Trust Technologies	Critical Technology	2.02	4.01 4.00 to 4.01	+1.99	2.31	27
Digital & AI Competence	Human Capital	6.84	8.67 8.66 to 8.68	+1.83	2.56	27
Technology Adoption & Diffusion	Production & Innovation	5.44	6.32 6.31 to 6.35	+0.88	1.83	23
Public Integrity & Anti-Corruption	Governance & Integrity	6.74	7.36 7.34 to 7.38	+0.62	1.34	23
Transport Infrastructure	Strategic Infrastructure	5.85	6.44 6.38 to 6.51	+0.59	1.81	35
Energy Infrastructure	Strategic Infrastructure	4.02	4.25 4.23 to 4.26	+0.23	1.26	26
Trade Policy & Market Access	Trade & Investment	6.14	6.18 6.15 to 6.21	+0.04	1.54	9
Investment Attraction & Projection	Trade & Investment	4.39	4.42 4.41 to 4.43	+0.03	1.20	9
Nuclear Deterrence	National Security	0.00	0.00 0.00 to 0.00	0.00	0.00	0
Agriculture & Food Infrastructure	Strategic Infrastructure	6.18	6.17 6.13 to 6.20	−0.01	1.42	31
Foundational Education	Human Capital	6.67	6.66 6.62 to 6.68	−0.01	0.97	13
Cyber & Electromagnetic Operations	National Security	5.28	5.20 5.06 to 5.31	−0.08	0.00	0
Justice System & Fundamental Rights	Governance & Integrity	5.26	5.18 5.17 to 5.19	−0.08	0.48	8
Industrial & Sectoral Base	Production & Innovation	5.25	5.17 5.16 to 5.18	−0.08	0.82	13
Business Dynamism & Entrepreneurship	Production & Innovation	4.42	4.31 4.30 to 4.32	−0.11	0.76	9
Semiconductors & Advanced Computing	Critical Technology	0.95	0.82 0.82 to 0.83	−0.13	0.00	0
Energy Technologies	Critical Technology	0.67	0.53 0.53 to 0.54	−0.14	0.00	0
Sensing, Timing & Navigation	Critical Technology	1.04	0.90 0.90 to 0.91	−0.14	0.00	0
Space Technologies	Critical Technology	1.20	1.04 1.03 to 1.04	−0.16	0.00	0
Maritime Power	National Security	1.29	1.07 1.07 to 1.08	−0.22	0.00	0
Advanced Materials & Manufacturing	Critical Technology	1.83	1.60 1.59 to 1.61	−0.23	0.00	0
Communications & Digital Infrastructure	Strategic Infrastructure	7.92	7.61 7.60 to 7.62	−0.31	0.73	13
Air Power	National Security	2.68	2.35 2.35 to 2.36	−0.33	0.00	0
Quantum Technologies	Critical Technology	2.55	2.21 2.20 to 2.23	−0.34	0.00	0
Artificial Intelligence	Critical Technology	4.93	4.58 4.56 to 4.59	−0.35	0.25	3
Advanced Manufacturing	Strategic Infrastructure	6.36	6.01 6.00 to 6.03	−0.35	0.55	13
Robotics & Autonomous Systems	Critical Technology	2.94	2.56 2.56 to 2.58	−0.38	0.00	0
Space Operations	National Security	3.38	2.97 2.95 to 2.98	−0.41	0.00	0
Political Institutions & Civic Participation	Governance & Integrity	4.25	3.82 3.81 to 3.82	−0.43	0.00	0
Internal Security & Order	Governance & Integrity	6.48	6.03 6.01 to 6.05	−0.45	0.46	8
Intelligence & Assessment	National Security	4.72	4.21 4.19 to 4.22	−0.51	0.00	0
Transparency, Oversight & Accountability	Governance & Integrity	5.14	4.61 4.61 to 4.62	−0.53	0.00	0
Biotechnology & Health Technologies	Critical Technology	3.18	2.65 2.65 to 2.66	−0.53	0.00	0
Technical & Vocational Skills	Human Capital	5.61	5.08 5.07 to 5.09	−0.53	0.00	0
Health System Capability	Human Capital	7.18	6.64 6.59 to 6.68	−0.54	0.59	13
Financial System Depth & Access	Financial Strength	6.01	5.47 5.46 to 5.48	−0.54	0.76	9
Regulatory Governance & Strategic Controls	Governance & Integrity	5.68	5.13 5.12 to 5.13	−0.55	0.00	0
Resource Infrastructure	Strategic Infrastructure	3.36	2.80 2.80 to 2.81	−0.56	0.00	0
Advanced Education	Human Capital	6.10	5.53 5.51 to 5.56	−0.57	0.00	0
Innovation & Commercialisation	Production & Innovation	4.56	3.98 3.96 to 3.99	−0.58	0.21	3
Strategic Strike & Missile Defence	National Security	3.91	3.33 3.31 to 3.33	−0.58	0.00	0
Lifelong Learning & Reskilling	Human Capital	5.98	5.39 5.38 to 5.40	−0.59	0.00	0
Space, Aerospace & Defence Infrastructure	Strategic Infrastructure	3.61	3.01 2.97 to 3.04	−0.60	0.00	0
Research Talent & Knowledge Creation	Human Capital	5.52	4.88 4.87 to 4.90	−0.64	0.00	0
Land Power	National Security	5.59	4.92 4.89 to 4.94	−0.67	0.00	0
Development Cooperation & Global Assistance	Information & Influence	3.83	3.14 3.11 to 3.16	−0.69	0.00	0
Population Health	Human Capital	6.38	5.65 5.62 to 5.66	−0.73	0.50	8
Joint Command, Projection & Sustainment	National Security	5.12	4.36 4.34 to 4.38	−0.76	0.00	0
Culture, Language & Education Diplomacy	Information & Influence	5.16	4.38 4.37 to 4.39	−0.78	0.00	0
Export Capability & Sophistication	Trade & Investment	3.59	2.78 2.77 to 2.80	−0.81	0.00	0
Government Effectiveness & Public Administration	Governance & Integrity	8.24	7.43 7.40 to 7.45	−0.81	0.70	13
Information Environment & Strategic Communication	Information & Influence	4.54	3.68 3.68 to 3.69	−0.86	0.00	0
Social Infrastructure	Strategic Infrastructure	6.25	5.35 5.31 to 5.46	−0.90	0.38	8
Diaspora & Global Communities	Information & Influence	6.51	5.59 5.58 to 5.59	−0.92	0.00	0
Sovereign Capital & External Financial Power	Financial Strength	4.72	3.78 3.76 to 3.80	−0.94	0.00	0
Force Generation & Mobilisation	National Security	6.97	6.02 5.93 to 6.10	−0.95	0.00	0
Economic Output & Productivity	Production & Innovation	5.04	4.08 4.06 to 4.10	−0.96	0.00	0
Structural Transformation & Complexity	Production & Innovation	5.77	4.75 4.73 to 4.76	−1.02	0.00	0
Diplomatic Statecraft & Global Networks	Information & Influence	4.83	3.76 3.74 to 3.78	−1.07	0.00	0
Alliances & Security Cooperation	Information & Influence	6.97	5.86 5.83 to 5.89	−1.11	0.00	0
National Resilience & Crisis Management	Governance & Integrity	7.30	6.19 6.16 to 6.21	−1.11	0.00	0
Early Childhood Development	Human Capital	7.36	6.23 6.19 to 6.25	−1.13	0.00	0
Economic Leverage & Dependence	Trade & Investment	4.65	3.44 3.41 to 3.47	−1.21	0.00	0
Digital & Services Trade	Trade & Investment	6.76	5.46 5.44 to 5.48	−1.30	0.00	0
Labour & Employment	Production & Innovation	5.44	4.13 4.11 to 4.15	−1.31	0.00	0
Financial Infrastructure	Strategic Infrastructure	7.80	6.48 6.40 to 6.53	−1.32	0.00	0
Global Value Chain Position	Trade & Investment	6.10	4.78 4.76 to 4.82	−1.32	0.00	0
Financial Stability & Crisis Management	Financial Strength	6.43	5.09 5.05 to 5.12	−1.34	0.00	0
Water, Sanitation & Waste Infrastructure	Strategic Infrastructure	6.24	4.88 4.82 to 4.93	−1.36	0.00	0
Financial Regulation & Integrity	Financial Strength	6.90	5.50 5.50 to 5.51	−1.40	0.00	0
Monetary & Currency Capability	Financial Strength	5.87	4.20 4.16 to 4.25	−1.67	0.00	0
Trade Facilitation & Logistics	Trade & Investment	5.88	3.95 3.94 to 3.97	−1.93	0.00	0
Fiscal Capacity & Public Finance	Financial Strength	6.66	4.37 4.33 to 4.40	−2.29	0.00	0

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 8.814
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: 0.49 points; 0% of simulations have one above 3
passtier_jumplargest gain in one domain within five years: 1 tiers (0 simulations above 2); tiers are reported, not an objective
passall_tier1_from_outside_top10starting rank 116; 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) 0.059; most funded group hard.strategic_infrastructure.transport_infrastructure
passsame_actionthe most repeated move (group and mode) appears in a median 47% of rounds
passregression_index_p50index_p50 moved 30.0% since cycle-002 (3.49 to 4.54); versions changed (0.1.0 to 0.1.1, graph 0.2.0 to 0.2.0)
passregression_score_sum_p50score_sum_p50 moved 29.4% since cycle-002 (253.03 to 327.35); versions changed (0.1.0 to 0.1.1, graph 0.2.0 to 0.2.0)

Settings and versions

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

Nation: Rwanda (RWA)
Position: A reconstructed 1996 position, aligned to the Index's scale
Method: Scripted. Actions fixed in advance by the experiment: for a backcast, the nation's historical pathway.
Scenario: Scripted events: Regional war spillover in year 2, Breadbasket failure in year 4, Global funding seizure in year 12, 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 100.8 a round, moving with the economic groups
Versions: Model 0.2.0, Capability Dependency Graph 0.2.0, parameters 0.1.1
Batch: Backcast 1996-2026 (cycle-003), cycle 3 of the improvement loop
Runtime: 7.1 seconds in all; 1715 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.