How to Evaluate Source Quality
Learn a practical framework for evaluating source quality in event research, including authority, verification, recency, and conflict checks.
Context only. Not betting advice, financial advice, legal advice, or investment advice.
Core dimensions of source quality
Source quality can be assessed across authority, evidence detail, verification status, and consistency with other credible records.
Using explicit dimensions improves repeatability and team alignment.
Timeliness and revision handling
Record timestamps, update history, and correction notes to avoid outdated interpretation.
Time-aware source review is essential when market context shifts fast.
- Publication timestamp
- Update or correction history
- Relation to contract cutoff windows
Handling conflicting source claims
When sources disagree, compare evidence depth, attribution clarity, and directness of documentation.
Preserve conflicting claims with uncertainty flags until resolution is clearer.
Context-only methodology note
Source quality review supports transparent interpretation and does not constitute advisory language.
Context only. Not betting advice, financial advice, legal advice, or investment advice.
Related resources
How to Research a Polymarket Market Before Interpreting Odds
Apply source quality checks in Polymarket workflows.
How to Research a Kalshi Market
Apply source quality checks in Kalshi workflows.
Prediction Market Basics
Connect methods to broader market interpretation basics.
Prediction Market Research
Use source quality checks inside full research workflows.
Frequently asked questions
Should low-quality sources be removed completely?
Not always. They can be retained as low-confidence context with explicit uncertainty flags.
What makes source quality review useful?
It improves consistency, reduces overconfidence, and clarifies evidence strength across research notes.
Source discipline
Build research briefs with clear source quality standards
Use OddsAware to record source quality, evidence strength, and uncertainty flags in one repeatable workflow.
Early access is currently available. Context only - not betting advice.