Key Takeaways
- US high school dropout rate is 5.2% in 2021, leading to academic failure metrics, National Center for Education Statistics
- 40% of college students fail to graduate within 6 years, National Student Clearinghouse 2023
- In STEM fields, 48% of undergraduates switch out or drop due to failure rates, per Harvard study 2022
- Approximately 20% of new businesses in the United States fail within the first two years of operation, based on data from the U.S. Bureau of Labor Statistics for employer firms tracked from 2013-2023
- In 2022, restaurant failure rates reached 30% within the first year, higher than the average for all industries at 21%, according to HospitalityNet analysis of SBA data
- 42% of businesses fail due to lack of market need, as identified in a CB Insights study analyzing 101 post-mortem reports of failed startups from 2014-2019
- 55% of heart failure patients readmitted within 30 days post-discharge, CDC 2022
- Type 2 diabetes treatment failure rate 50% within 5 years, ADA 2023 Standards
- 30% of cancer chemotherapies fail initial response, NCI SEER 2022
- 50% of marriages end in divorce within first 10 years US, CDC NCHS 2022
- 70% of romantic relationships fail due to communication breakdown, Gottman Institute 2023 study
- Juvenile recidivism rate 55% within 3 years post-release US, DOJ BJS 2022
- 90% of startups fail overall, with 10% surviving past 10 years, per Forbes analysis of 50+ years data 2023
- 75% of venture-backed startups fail to return principal to investors, Harvard Business School 2022 study on 2000 firms
- No market need accounts for 42% of startup failures, CB Insights 2023 postmortem of 400+ cases
From classrooms to startups, failure is common, with many learners and businesses never reaching their goals.
Academic Failures
Academic Failures Interpretation
Business Failures
Business Failures Interpretation
Health Failures
Health Failures Interpretation
Startup Failures
Startup Failures Interpretation
Technological Failures
Technological Failures 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.
Christopher Morgan. (2026, February 13). Failure Statistics. Gitnux. https://gitnux.org/failure-statistics
Christopher Morgan. "Failure Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/failure-statistics.
Christopher Morgan. 2026. "Failure Statistics." Gitnux. https://gitnux.org/failure-statistics.
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