Category definition
What Is Claim Science?
Claim Science is a structured discipline for evaluating major property claims with the information available today, and being honest about what remains unknown.
Research & Insights
Research that makes major property claims easier
Bedrock Claim Science studies the information produced by major property losses to identify patterns that can help property owners, professionals and industry stakeholders make better decisions. Our goal is to publish useful, clearly sourced insights without overstating what the data can prove.
Foundational essays
Methodology
Why Major Claims Use Ranges, Not One Number
False precision is the enemy of good claim decisions. Why credible assessments speak in ranges, and how confidence should narrow as evidence grows.
Documentation
What Makes a Claim File Strong?
The documentation patterns that tend to support clearer, faster claim resolution, and the gaps that commonly slow claims down.
Research agenda
What we study
Our research program follows the questions that matter most to property owners and the professionals around them.
| Category | Examples |
|---|---|
| Fire claim benchmarks | Claim size, damage categories, early vs. later documentation |
| Temporary housing | Displacement ranges, ALE pressure points, common documentation needs |
| Contents | Inventory scale, replacement-cost patterns, documentation quality |
| Repair timelines | Permitting, demolition, specialty trades, reconstruction sequencing |
| Claim process | Estimate timing, payment stages, documentation gaps |
| Methodology notes | How Bedrock handles ranges, confidence and missing information |
Flagship · future
“Bedrock Claim Science: State of Major Property Claims”
Our planned annual research report will use anonymized, appropriately governed Bedrock data once the dataset is large enough to support credible conclusions. Every quantitative report will publish its methodology notes alongside its findings.
Our standing rule: we do not publish carrier “rankings,” represented-vs-unrepresented comparisons, or outcome comparisons until the sample design, definitions and legal review are strong enough to defend them.
Research inquiries, media requests and data questions: contact Bedrock Claim Science.