Research - Data Analysis & Tribunal Decision Database
We Analyzed 230,392 Records.
Here's What It Means for You.
People win appeals when they understand what's required and have the right evidence. Denials follow a playbook. We turned four years of tribunal data into tools you can use right now — for injured workers, persons with disabilities, and anyone navigating these systems. Ontario v3.0 complete May 15, 2026: 50,161 cases, 85.1% classified.
Data Transparency: Proven data clearly labelled | Inferred patterns disclosed upfront | Win rates are estimated from classified decisions only (91.8% of WSIAT decisions lack clear outcome metadata) | All code and data open source See full methodology
Start Here If You Need Help
Injured, denied, or helping someone who is? Go straight to the tools. Skip the data.
I Got Denied - I Need to Appeal
You need a strategy now. Start with the guide built from 98,992 real decisions.
I Want to Understand What's Happening
See the tactics WSIB uses. Know what you're up against before you file.
Browse All Guides and Templates
Musculoskeletal, neurological, legal strategy - 24+ guides built from real cases.
Go Deeper Into the Data
Researchers, policy analysts, advocates with clients - the full dataset and methodology are below.
Interactive Visualizations
5 live charts. Filter, zoom, explore 230,392 records yourself.
View ChartsRaw Data Downloads
122,488 Ontario tribunal decisions + 130,736 employer records. 100% open source. No paywalls.
Download DataMethodology and Statistical Methods
Peer-reviewable methods. Confidence intervals. Limitations disclosed.
Read MethodologyResearch Standards and Methodology
What We Can PROVE:
- 127,556 decisions analyzed across 5 Ontario systems (WSIAT: 98,992 | HRTO: 9,269 | ONSBT: 13,798 | ONWSIB: 463 | ONCA: 5,034)
- 91.8% missing outcome metadata for WSIAT (only 8.2% of cases have clear win/loss categorization)
- Statistical anomalies detected in decision volumes (July 2023: 39 decisions vs. 154 average, Z = -2.94, p = 0.003)
- Body part bias measured (knee injuries show 20% pre-existing denial rate vs. 13.3% baseline, chi-squared = 32.7, p < 0.001)
- Delay tactics quantified (reconsideration adds 2.0 years vs. 0.5 for direct appeals)
Statistical Methods Used:
- Anomaly detection - Z-score analysis, p-values
- Co-occurrence networks - Which denial tactics cluster together
- Temporal trend analysis - Patterns over time
- Chi-square tests - Body part bias, keyword associations
- Confidence intervals - All proportions reported with 95% CIs
- Effect sizes - Cohen's h for proportional differences
- Bonferroni correction - For multiple testing
- Sensitivity analysis - Robustness to missing data
Data Transparency:
- All code open source: GitHub Repository
- Raw data public: tribunal-decisions/
- Community review welcomed: Find errors? Email empowrapp08162025@gmail.com
- Replication instructions: Run scripts/scrape-*.mjs + scripts/analyze-*.mjs for each tribunal
Limitations We Acknowledge:
- Missing Data: 91.8% of WSIAT decisions lack clear outcome categorization
- No Internal Documents: We don't have WSIB internal policy documents or adjudicator performance data
- Limited Representation Data: Only 3.6% of cases mention lawyers
- Regional Breakdowns: Not available in public CanLII data
Full methodology available in blog posts - See Related Blog Posts section below
Interactive Data Visualizations
WSIAT Outcome Timeline (2020-2026)
98,992 Decisions
Monthly decision volumes and outcome patterns over 6 years. Identify seasonal trends, policy changes, and anomalies.
HRTO Outcome Timeline (2020-2026)
9,269 Decisions
Human Rights Tribunal outcomes by month. Track discrimination patterns and case resolution trends.
Cross-Tribunal Comparison
5 Tribunals
Compare decision patterns across WSIAT, HRTO, ONSBT, ONWSIB, and ONCA. Identify systemic differences.
Employer Safety Heatmap
130,736 Records
Workplace injury rates by industry and region. Interactive map shows which employers have highest injury rates.
Keyword Network Analysis
13,000+ Keywords
Discover how denial tactics cluster together. Interactive network shows which keywords predict denial.
Injury-Specific Knowledge Base
Evidence-based guides for specific injury types, built from real tribunal decisions:
Musculoskeletal
Neurological
Legal Strategy
Appeal Templates
Ready-to-use templates with evidence-based arguments:
Related Blog Posts
Contribute to the Data
This research improves when workers share their outcomes. Every case you report makes the pattern clearer for the next person.