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
📋 Accuracy Audit — 2026-07-20 (post laptop-failure recovery): Figures on this page were reviewed against the recovered Ontario scrape. The headline 230,392 = 127,600 tribunal decisions + 102,792 employer records (raw, pre-dedupe; the Ontario tribunal figure is itself the sum of WSIAT 99,036 + HRTO 9,269 + ONSBT 13,798 + ONWSIB 463 + ONCA 5,034). Outcome classification covers only ~12–15% of tribunal decisions (CanLII API lacks structured outcome labels — outcomes are keyword-inferred). BC WCAT collection was recovered and committed (7,386 decisions, 2020–2026) — verifiable; outcomes remain keyword-inferred. Cross-post success-rate figures should be treated as exploratory, not definitive. Per-tribunal curated sizes: WSIAT 98,992 · HRTO 62,093 (9,269 classified) · ONSBT 13,798 · ONCA 5,034.
🏘️ Communities We Serve
3mpwrapp is built for everyone navigating these systems. The guides, knowledge bases, and templates below are grouped by community so you can find what applies to you.
Injured Workers & WSIB/WSIAT
Veterans (VAC / VRAB)
Seniors
Caregivers
Persons with Disabilities
Human Rights & UNCRPD
Law & CanLII Precedents
Browse all guides → · Browse all knowledge bases → · Browse all templates →
🔄 CanLII decision-data scraping — resuming soon: British Columbia workers' compensation (WCAT) 2020–2026 is already collected (7,386 decisions, via the free CanLII API). Next: complete the rest of BC (Human Rights Tribunal, Information & Privacy), then expand across Canada — AB, QC, MB, SK, Atlantic, and the Territories — plus the ON Landlord & Tenant Board (poverty / housing). All collection uses the free CanLII API with a 15-second rate limit. See Data Sources & Methodology for how scraped data becomes the figures you see.
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 99,036 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
127,600 Ontario tribunal decisions + 102,792 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:
- 127,600 decisions analyzed across 5 Ontario systems (WSIAT: 99,036 | 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 [email protected]
- 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)
99,036 Decisions
Monthly decision volumes and outcome patterns over 6 years. Identify seasonal trends, policy changes, and anomalies.
HRTO Outcome Timeline (2020-2026)
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Human Rights Tribunal outcomes by month — 9,269 decisions. Track discrimination patterns and case resolution trends.
ONWSIB Outcome Timeline (2020-2026)
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WSIB Board outcomes by month — the employer and insurer side of the same claims that appear in the WSIAT timelines. Shows which appeals end at the Board stage rather than escalating to a hearing.
ONCA Outcome Timeline (2020-2026)
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Court of Appeal for Ontario outcomes by month. The top of the chain, after WSIAT and WSIB. Relevant when a decision is being appealed further and you need to know what has historically succeeded at that level.
ONSBT Outcome Timeline (2020-2026)
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Social assistance appeals by month — the tribunal for ODSP denials, distinct from WSIAT and WSIB. Pairs with the ONSBT guide.
Tribunal Decision Heatmap
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Where decisions concentrate across issue categories — which claim types generate the volume, and which are decided fastest or slowest.
Injury Industry Matrix
Cross-references injury type against industry. Shows which sectors generate which claim patterns — useful for narrowing an industry-specific argument.
Temporal Evolution
Tracks how employer denial language and defence strategies evolved across the period analysed.
Cross-Tribunal Comparison
5 Tribunals
Compare decision patterns across WSIAT, HRTO, ONSBT, ONWSIB, and ONCA. Identify systemic differences.
Employer Safety Heatmap
102,792 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:
Every research page on this site
Nothing published below is hidden. All 15 research pages, grouped by what they answer.
Tribunal outcome audits (2020–2026)
- ONSBT 2020–2026: seven years of decisions
- ONSBT tiered outcome classification
- ONWSIB 2020–2026 outcome gap audit
- WSIAT pattern analysis: worker victory rates
- ONCA precedent overview
Accessibility and discrimination at tribunal
Employer tactics and retaliation
- Employer tactics to suppress claims
- Claim suppression and retaliation (summary)
- Information asymmetry: who controls the record
Legislative analysis
- Bill 86 — Meredith Act
- Bill 105 — POWER Act
- Bill 86 vs Bill 105
- Bill 86 (short reference) · Bill 105 (short reference)
Tools built from this research
- Ontario Legal Intelligence System v3.0
- CanLII database coverage
- How one beta tester changed the research
- CANLII WSIB precedents
Legislative status changes. Confirm any bill's current status on ontariolegislature.ca before relying on these pages. None of this is legal advice.
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.