Working Draft — LGIT framework unpublished. Shared for feedback only. Please do not cite or distribute without permission.

Interactive Dashboard

Explore 56 series across 2001-2023

Psychological Distress (K10)

Population by distress level, 2018-2023

Labour-Distress Decoupling

Real wage growth vs distress rate

Structural Asymmetry: Age

Very high distress by age group (2023)

Youth (18-24) distress is 2.2× the population average

Employment Status Gap

Very high distress by employment (2023)

Unemployed distress is 3.3× the employed rate

WFH Adoption

Peak: 63.1% (2021) → 47.4% (2023)

Housing Stress

+43% increase (2021-2023)

Job Loss Risk

Recovered below pre-COVID baseline

LGIT Diagnostic Analysis

Legitimacy-Grievance-Institutional Trajectory framework applied to HILDA data

escalating Trajectory

high confidence

ESCALATORY TRAJECTORY: Multiple signals indicate grievance is worsening despite economic recovery.

Detection Signals:

  • Distress escalating: 51.1% increase
  • Housing crisis: 43% increase in 2 years
  • High WFH reversion penalty: 14.5pp
  • Severe age asymmetry: youth 5.4× average

Grievance Trajectory

Annual Change+0.56pp/yr
Period Change+51.1%
R² (fit)0.91
ESCALATING

Labour-Distress Decoupling

Job Loss Trend0.00/yr
Distress Trend0.00/yr
ALIGNED

Labour and distress trends moving together

Age Asymmetry Index

Highest18-24 (15.8%)
Lowest65+ (2.9%)
Ratio5.4×
SEVERE ASYMMETRY

WFH Reversion Penalty

Retained WFH38.9% stressed
Forced Back53.4% stressed
Penalty+14.5pp
HIGH PENALTY

LGIT Key Findings

  • 1Grievance Surge: Very high distress increased 51% from 2018-2023
  • 2Housing Crisis: Housing stress surged 43% in just 2 years
  • 3Youth Crisis: 18-24 year olds experience 5.4× the average distress rate
  • 4Reversion Penalty: Forced return to office creates 15pp stress increase
  • 5Overall Assessment: ESCALATING trajectory (high confidence)

Analysis generated: 1/14/2026

Quick Statistics

+60%
Distress surge 2018-2022
-2.4%
Real wage decline 2023
+14.5pp
WFH reversion penalty
3.3×
Unemployed vs employed gap