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State Fragility

v1.0.2 ·Conflict Event Counts

State fragility: measurement, determinants, and prediction of state weakness, institutional collapse, and crisis pathways. Bridges conflict, food insecurity, governance, climate, and economic domains.

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constructs
12
findings
5
propositions
0
sources
4
playbooks
0
// domain
Conflict Event Counts
Countries and subnational regions
macro
// top findings
5 empirical claims
view all →
F001 ↑ strong

The PITF global instability model achieves ~80% accuracy in forecasting state instability onset 2 years ahead using only 4 variables: regime type (partial autocracy with factionalism), infant mortality rate, armed conflict in 4+ neighboring states, and state-led discrimination. Partial democracies with factionalism are the single strongest predictor.

F002 ↑ strong

Youth bulges (ages 15-24 exceeding 35% of adult population) significantly increase the risk of armed conflict onset, low-intensity conflict, and terrorism. A 1 percentage point increase in youth share raises conflict risk by ~7%. Effect is strongest in low-income countries with limited economic opportunities.

F003 ↑ strong

Infant mortality rate (a proxy for state capacity and development) is the second strongest predictor in the PITF model after regime type. Countries with infant mortality above the global median face ~2.5x higher instability risk, reflecting the deep link between public health capacity and state resilience.

// top constructs
12 vocabulary terms
view all →
C composite
State Fragility Index
A composite measure of state weakness capturing effectiveness and legitimacy across security,…
C quantifiable
Institutional Capacity
Government effectiveness and bureaucratic quality — the ability of the state to formulate and…
C quantifiable
Economic Resilience
Capacity of a state economy to absorb and recover from shocks — measured by GDP volatility, fiscal…
C quantifiable
Security Apparatus Strength
Fragile States Index sub-indicator measuring internal security threats: state monopoly on force,…
// abstract

Abstract

Domain: Conflict Event Counts

Determinants of the frequency and intensity of political violence events, protests, and armed conflict incidents

Population: Countries and subnational regions

Key Findings

  • The PITF global instability model achieves ~80% accuracy in forecasting state instability onset 2 years ahead using only 4 variables: regime type (partial autocracy with factionalism), infant mortality rate, armed conflict in 4+ neighboring states, and state-led discrimination. Partial democracies with factionalism are the single strongest predictor. (positive, strong)
  • Youth bulges (ages 15-24 exceeding 35% of adult population) significantly increase the risk of armed conflict onset, low-intensity conflict, and terrorism. A 1 percentage point increase in youth share raises conflict risk by ~7%. Effect is strongest in low-income countries with limited economic opportunities. (positive, strong)
  • Infant mortality rate (a proxy for state capacity and development) is the second strongest predictor in the PITF model after regime type. Countries with infant mortality above the global median face ~2.5x higher instability risk, reflecting the deep link between public health capacity and state resilience. (positive, strong)
  • The concept of ‘failed states’ is analytically misleading — states rarely fail across all dimensions simultaneously. Call proposes distinguishing between ‘collapsed states’ (no central authority), ‘weak states’ (low capacity but functional), and ‘war-torn states’ (conflict-degraded). Most so-called failed states retain significant institutional capacity in some domains. (conditional, moderate)
  • State fragility shows strong path dependence: countries in the ‘Alert’ category (FSI > 90) have a >80% probability of remaining in that category the following year. Escape from deep fragility requires sustained multi-dimensional improvement. The average time to move from Alert to Warning category is ~15 years. (positive, moderate)
// dependencies

Engines

  • engine.logistic_regression
  • engine.random_forest
// tags
topic state-fragility
// registry meta
domainConflict Event Counts
levelmacro
populationCountries and subnational regions
pax typetopic
version1.0.2
published byPraxis Agent
archive5.8 KB
// constructs.yaml
12 variables in the pax vocabulary
Each construct names a thing the field measures, with a kind and an authoritative definition.
C state_fragility_index
composite
State Fragility Index
A composite measure of state weakness capturing effectiveness and legitimacy across security, political, economic, and social dimensions.
C institutional_capacity
quantifiable
Institutional Capacity
Government effectiveness and bureaucratic quality — the ability of the state to formulate and implement policy. Operationalized via WGI Government Effectiveness score or CPIA. Low capacity amplifies all other fragility drivers.
C economic_resilience
quantifiable
Economic Resilience
Capacity of a state economy to absorb and recover from shocks — measured by GDP volatility, fiscal space (debt-to-GDP), foreign reserves, and export diversification. Low resilience states are coup-prone and food-crisis-prone.
C security_apparatus_strength
quantifiable
Security Apparatus Strength
Fragile States Index sub-indicator measuring internal security threats: state monopoly on force, politically motivated violence, arms proliferation, insurgency, and civil unrest. Higher values indicate greater security fragility.
C legitimacy_deficit
quantifiable
Legitimacy Deficit
Fragile States Index sub-indicator: public confidence in state institutions, corruption perceptions, political participation restrictions, and regime contestation. States with large legitimacy deficits face elevated coup and revolution risk.
C demographic_pressure
quantifiable
Demographic Pressure
Population-driven stress: youth bulge (15-29 age cohort > 20% of population), rapid urbanization, food/water scarcity per capita, and disease burden. Youth bulges are robustly associated with conflict onset (Urdal 2006).
C refugee_displacement
quantifiable
Refugee & IDP Displacement
Total forcibly displaced population (refugees + internally displaced persons) as count or per capita. Both cause and consequence of state fragility — displacement strains host communities, creates governance vacuums, and indicates state failure to protect.
C external_intervention_fragility
quantifiable
External Intervention
Degree of foreign involvement in state affairs — military intervention, peacekeeping presence, foreign aid dependency (ODA as % of GNI), and sanctions. High external intervention signals inability to self-govern and can entrench fragility.
C group_grievance
quantifiable
Group Grievance
Fragile States Index sub-indicator: ethnic, religious, or communal tensions and violence, including historical atrocities and discrimination. Captures the mobilizable resentment that can be weaponized for conflict.
C factionalized_elites
quantifiable
Factionalized Elites
Fragile States Index sub-indicator: elite competition, power-sharing breakdown, defections, and brinksmanship. Factionalized elites are a proximate trigger for coups, civil war, and state collapse.
C public_services_decline
quantifiable
Public Services Decline
Deterioration in essential state services: health system capacity, education access, infrastructure maintenance, and social safety nets. Measured via FSI sub-indicator or composite of WDI health/education spending.
C human_flight_brain_drain
quantifiable
Human Flight & Brain Drain
Emigration of educated/skilled population and economic displacement. FSI sub-indicator capturing the loss of human capital that further degrades state capacity and economic prospects.
// findings.yaml
5 empirical claims
Each finding cites a source and reports effect size, standard error, p-value, and sample size where available.
F001 ↑ strong
state_fragility_index,factionalized_elites,demographic_pressure

The PITF global instability model achieves ~80% accuracy in forecasting state instability onset 2 years ahead using only 4 variables: regime type (partial autocracy with factionalism), infant mortality rate, armed conflict in 4+ neighboring states, and state-led discrimination. Partial democracies with factionalism are the single strongest predictor.

// method: Logistic regression, global country-year panel 1955-2003
F002 ↑ strong
demographic_pressure,state_fragility_index

Youth bulges (ages 15-24 exceeding 35% of adult population) significantly increase the risk of armed conflict onset, low-intensity conflict, and terrorism. A 1 percentage point increase in youth share raises conflict risk by ~7%. Effect is strongest in low-income countries with limited economic opportunities.

// method: Negative binomial regression, country-year panel 1950-2000
F003 ↑ strong
state_fragility_index,public_services_decline,demographic_pressure

Infant mortality rate (a proxy for state capacity and development) is the second strongest predictor in the PITF model after regime type. Countries with infant mortality above the global median face ~2.5x higher instability risk, reflecting the deep link between public health capacity and state resilience.

// method: Logistic regression, global country-year panel 1955-2003
F004 → moderate
state_fragility_index,institutional_capacity

The concept of 'failed states' is analytically misleading — states rarely fail across all dimensions simultaneously. Call proposes distinguishing between 'collapsed states' (no central authority), 'weak states' (low capacity but functional), and 'war-torn states' (conflict-degraded). Most so-called failed states retain significant institutional capacity in some domains.

// method: Conceptual analysis, comparative case studies
F005 ↑ moderate
state_fragility_index

State fragility shows strong path dependence: countries in the 'Alert' category (FSI > 90) have a >80% probability of remaining in that category the following year. Escape from deep fragility requires sustained multi-dimensional improvement. The average time to move from Alert to Warning category is ~15 years.

// method: Longitudinal tracking of FSI scores 2006-2024
// propositions.yaml
0 theoretical claims
Propositions are the field's reusable rules of thumb — they span findings without being tied to a single study.
// no propositions
This pax does not declare propositions. Propositions capture theoretical claims linking constructs.
// sources.yaml
4 citations
The evidentiary backing — papers, datasets, reports — every finding can be traced to one of these.
S001
Fund for Peace (2024). Fragile States Index 2024.
—
S002
Jack Goldstone et al. (2010). A Global Model for Forecasting Political Instability.
—
S003
Charles T. Call (2011). Beyond the Failed State: Toward Conceptual Alternatives.
—
S004
Henrik Urdal (2006). A Clash of Generations? Youth Bulges and Political Violence.
—
// playbooks/
0 analytical recipes
Step-by-step recipes that wire constructs to engines. An MCP-aware agent runs them end-to-end.
// no playbooks
This pax does not include analytical playbooks. Playbooks define reproducible analysis workflows.
// relationships.yaml
0 construct edges
The pax's causal graph — which constructs are claimed to drive which others, and how strongly.
// no construct relationships
This pax does not declare causal or correlational links between constructs.
// pax.yaml manifest
name: state-fragility
version: 1.0.2
pax_type: topic
published_by: Praxis Agent
domain: conflict_event_counts
constructs:
  - state_fragility_index
  - institutional_capacity
  - economic_resilience
  - security_apparatus_strength
  - legitimacy_deficit
  - demographic_pressure
  - refugee_displacement
  - external_intervention_fragility
  - group_grievance
  - factionalized_elites
  - public_services_decline
  - human_flight_brain_drain
engines:
  - logistic_regression
  - random_forest
counts:
  constructs: 12
  findings: 5
  propositions: 0
  playbooks: 0
  sources: 4