Advertising Deception
Advertising Deception Interpretation
Economic Manipulation
Economic Manipulation Interpretation
Environmental Misuse
Environmental Misuse Interpretation
Health Misinformation
Health Misinformation Interpretation
Historical Origins
Historical Origins Interpretation
Media Misuse
Media Misuse Interpretation
Political Deception
Political Deception Interpretation
Polling Errors
Polling Errors Interpretation
Psychological Biases
Psychological Biases Interpretation
Public Perception
Public Perception Interpretation
Scientific Misconduct
Scientific Misconduct Interpretation
Sports Deception
Sports Deception Interpretation
Statistical Fallacies
Statistical Fallacies Interpretation
Workplace Deception
Workplace Deception 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.
Felix Zimmermann. (2026, February 13). Lies Damn Lies Statistics. Gitnux. https://gitnux.org/lies-damn-lies-statistics
Felix Zimmermann. "Lies Damn Lies Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/lies-damn-lies-statistics.
Felix Zimmermann. 2026. "Lies Damn Lies Statistics." Gitnux. https://gitnux.org/lies-damn-lies-statistics.
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