Related reading
Attack Patterns
Attack Patterns Interpretation
Attack Triggers
Attack Triggers Interpretation
Behavioral Stats
Behavioral Stats Interpretation
Bite Severity
Bite Severity Interpretation
Comparative Analysis
Comparative Analysis Interpretation
Economic Impact
Economic Impact Interpretation
More related reading
Fatality Statistics
Fatality Statistics Interpretation
Geographic Distribution
Geographic Distribution Interpretation
Identification Methods
Identification Methods Interpretation
Incidence Rates
Incidence Rates Interpretation
Injury Statistics
Injury Statistics Interpretation
Injury Types
Injury Types Interpretation
More related reading
Legal Outcomes
Legal Outcomes Interpretation
Location Data
Location Data Interpretation
Perpetrator Profiles
Perpetrator Profiles Interpretation
Preventive Factors
Preventive Factors Interpretation
Temporal Patterns
Temporal Patterns Interpretation
Victim Demographics
Victim Demographics Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
David Kowalski. (2026, February 13). English Bulldog Attack Statistics. Gitnux. https://gitnux.org/english-bulldog-attack-statistics
David Kowalski. "English Bulldog Attack Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/english-bulldog-attack-statistics.
David Kowalski. 2026. "English Bulldog Attack Statistics." Gitnux. https://gitnux.org/english-bulldog-attack-statistics.
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