Key Takeaways
- 95% of cybersecurity breaches are caused by human error like phishing.
- 17% of data breaches are the result of accidental cloud misconfigurations.
- 43% of employees have made a mistake at work that compromised cybersecurity.
- Medical errors are the third leading cause of death in the US, accounting for over 250,000 deaths annually.
- 75% of surgical errors are attributed to communication breakdowns within the team.
- Medication administration errors occur in 1 out of every 5 doses given in hospitals.
- 80% of major power outages are caused by human error during maintenance.
- Human error was a contributing factor in 100% of major nuclear power plant disasters like Chernobyl.
- 50% of safety system failures in nuclear plants are due to human calibration errors.
- Human error is responsible for approximately 80% of all aviation accidents.
- Fatigue is a contributing factor in 20% of all road traffic accidents worldwide.
- 94% of motor vehicle crashes are caused by human error or choice.
- 70% of offshore oil and gas incidents are caused by human performance factors.
- Human error accounts for 90% of failures in the manufacturing sector.
- Slips, trips, and falls due to negligence account for 15% of all accidental deaths in the workplace.
Human error drives most security breaches, from phishing and passwords to cloud misconfigurations and insider actions.
Cybersecurity & IT
Cybersecurity & IT Interpretation
Medicine & Healthcare
Medicine & Healthcare Interpretation
Nuclear & Energy
Nuclear & Energy Interpretation
Transport & Aviation
Transport & Aviation Interpretation
Workplace & Industrial
Workplace & Industrial 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.
Julian Richter. (2026, February 13). Human Error Statistics. Gitnux. https://gitnux.org/human-error-statistics
Julian Richter. "Human Error Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/human-error-statistics.
Julian Richter. 2026. "Human Error Statistics." Gitnux. https://gitnux.org/human-error-statistics.
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