Data Examples
Version 5.1 by Robert Schaub on 2025/12/12 19:37
Data Examples
Illustrative data objects for FactHarbor entities.
| Example | Details | |
|---|---|---|
| A: Hydrogen vs EVs | Claim: "Hydrogen cars are more energy efficient than EVs." Type: Empirical / Technical. Scenario: "Well-to-wheel efficiency, EU grid mix 2020-24". Assumptions: Electrolysis 69%, Fuel cell 55%. Evidence: Peer-reviewed paper (High reliability), EU Dataset (Medium). Verdict: Likelihood 0.10–0.25 (Scenario A). Explanation: EVs are more efficient due to lower conversion losses in this context. Use Verdict instead of Truth. | |
| B: Cold Water Exposure | Claim: "Regular cold-water exposure improves health." Scenario: "Short daily immersions in healthy adults". Definitions: < 14°C, > 6 months. Verdict: Likelihood 0.40–0.65 (Scenario B). Some benefits shown, but long-term health impact data is limited. | |
| C: Non-Falsifiable | Claim: "Hillary Clinton communicates with Eleanor Roosevelt." Scenario: Literal paranormal interpretation. Verdict: Undefined / Non-evaluable. (Reasoning: Non-falsifiable). |
Automation Summary
- [A] Fully Automatable: Normalization, Clustering, Metadata extraction.
- [M] Mixed: Assumptions, Relevance scoring, Uncertainty factors.
- [H] Human-Only: Definitions, Ethical constraints, Final approval.