Last updated October 17, 2026 – See the bottom for the latest estimates.
The story isn’t if medical mistakes are the #1, #2, or #3 cause of death in America; the story is why it is hidden…
NOTE: This video is being censored by Youtube. “Under YouTube’s Health Source Policy and its “Four Rs” (Raise and Reduce) framework, videos discussing medical topics—including iatrogenic mortality, adverse drug reactions, and public health statistics—are algorithmically deprioritized in Search and Home recommendations” (Google Gemini 4.0, October 17, 2026).”
Why the CDC Hides Iatrogenic Deaths
There are lots of reputable estimates on annual iatrogenic deaths in America:
– Johns Hopkins / Makary & Daniel (BMJ 2016): ~251,454 (would rank third).
– James (Journal of Patient Safety 2013): lower limit 210,000; true hospital number estimated >400,000 (commonly cited ~440,000).
– Newman-Toker et al. (BMJ Quality & Safety 2023/2024): ~795,000 serious harms from diagnostic error alone (~371,000 deaths + ~424,000 permanent disabilities).
– Null et al. (“Death by Medicine,” 2003): 783,936 comprehensive compilation.
– Harvard Medical Practice Study (Brennan/Leape, NEJM 1991): national extrapolation ~1.3 million adverse events (injuries from medical care) in hospitals, including ~180,000 deaths (1984 data).
– Lazarou et al. (JAMA 1998): ~106,000 fatal adverse drug reactions in hospitals (1994 estimate).
– Institute of Medicine, To Err Is Human (2000): original 44,000–98,000 preventable hospital deaths.
– CDC = 0
So which is it? If you go to the CDC’s official list of leading causes of death, you will never find “medical mistakes,” “medical error,” or “iatrogenic death” listed anywhere. As of early 2026 (when this was last updated), here is what they report: You have the most prestigious medical journals and cited researchers apparently disagreeing with the CDC. Even before COVID-19, the CDC had trust issues. Now their stated #1 priority is rebuilding public trust. The solution is pretty simple: stop lying.
| Rank | Cause of Death (CDC Classification) | 2023 (Final) | 2024 (Provisional) |
|---|---|---|---|
| — | Total Deaths (All Causes) | 3,090,964 | 3,072,666 |
| 1 | Heart Disease | 680,981 | 683,491 |
| 2 | Cancer | 613,352 | 619,876 |
| 3 | Accidents (Unintentional Injuries) | 222,698 | 197,449 |
| 4 | Stroke | 162,639 | 166,852 |
| 5 | Chronic Lower Respiratory Diseases | 145,357 | 145,643 |
| 6 | Alzheimer’s Disease | 114,034 | 116,022 |
| 7 | Diabetes | 95,190 | 94,445 |
| 8 | Kidney Disease | 55,253 | 55,081 |
| 9 | Chronic Liver Disease/Cirrhosis | 52,222 | 52,274 |
| 10 | Suicide | 49,316 | 48,824 |
Source: CDC NCHS / FastStats Leading Causes of Death (2024 provisional data). https://www.cdc.gov/nchs/fastats/leading-causes-of-death.htm
Humm… notice anything missing? Medical mistakes are not in the top 3. They’re not in the top 10. They’re not in the top 113. They’re nowhere.
Death certificates list both the immediate cause and the underlying cause. The CDC’s rankings use the underlying cause. If someone dies from a medical mistake (immediate cause) after being admitted for something else (underlying cause), the medical error disappears from the statistics. The sprained ankle, the cancer, the heart disease, or whatever originally brought them in gets the credit. Protecting Americans from “human error” is in the CDC’s mission statement, yet the numbers are systematically erased. As Makary and Daniel noted in 2016: “Medical error is not included on death certificates or in rankings of cause of death… causes of death not associated with an ICD code, such as human and system factors, are not captured.”
Reporting rates are the reason the official numbers stay at zero:
– Hospital systems captured only about 14% of harm events (86% missed). Levinson DR. Hospital Incident Reporting Systems Do Not Capture Most Patient Harm. Washington, DC: U.S. Department of Health and Human Services, Office of Inspector General; January 2012. Report No. OEI-06-09-00091. https://oig.hhs.gov/reports/all/2012/hospital-incident-reporting-systems-do-not-capture-most-patient-harm/
– Adverse drug reaction reporting to systems such as MedWatch is commonly estimated at only 1–10% of serious events. Kessler DA. Introducing MEDWatch: a new approach to reporting medication and device adverse effects and product problems. JAMA. 1993;269(21):2765-2768. doi:10.1001/jama.1993.03500210065033.
– Many sources (including Null et al. and others) state that as little as 5% and no more than 20% of iatrogenic events are ever reported. Null G, Dean C, Feldman M, Rasio D, Smith D. Death by Medicine. New York, NY: Nutrition Institute of America; 2003.
The SuperFreakonomics data lines up with this. During widespread doctor strikes (Los Angeles, Israel, Colombia) and when large numbers of doctors left Washington D.C. for a medical convention, overall death rates dropped 18–50%. Elective procedures stopped; over-treatment of non-fatal problems decreased. For acute trauma the hospital can help. For non-traumatic conditions the reductionist model often turns the amplitude up until the treatment itself becomes the danger.
Why the erasure? An informant at the CDC told me the reason, with full backing of the system, is that if the numbers got out it would “Undermine Public Trust.” The CDC Foundation has accepted tens of millions in “gifts” from industry participants for years. Recommendations have skewed toward products of donors. The revolving door operates as expected.
One part of the problem is 97.5% of doctors can never admit they were wrong. Because they identify as people who help others, cognitive dissonance makes it nearly impossible for them to see data showing that what they were doing caused harm. That single fact explains a lot of the silence. This is the bitter fruit of a bitter seed. The Western reductionist model is a lifesaver for trauma. For non-traumatic disease, it falls apart the way classical mechanics falls apart at the quantum level. I’ve spent decades connecting the missing links. The data points to a more complete model — not functional medicine, not “eat organic and biohack,” but the real drivers. That is the Secrets of the Outliers series.
I have one request: do not use this as a weapon. Do not shove it in someone’s face to “prove them wrong.” That only cements walls. Say, “I used to believe the CDC numbers too — this has me thinking. What’s your take?” We are up against a multi-trillion-dollar industry that benefits from the official silence. The power of We the People does not come from proving others wrong. It comes from standing together on the data.
Take This Data and Plug It Into Your Own AI Model to Estimate the Total Iatrogenic Deaths
Say what you will about AI, taking tons of data and synthesizing it IS what it does extremely well.
Prompt: Use all these studies and hard data to estimate the actual number of annual iatrogenic deaths in America. Ignore the CDC’s false numbers.
Official CDC ranking (medical error = 0):
2024 provisional: Heart disease 683,491; Cancer 619,876; Accidents 197,449; Stroke 166,852; Chronic lower respiratory 145,643; Alzheimer’s 116,022; Diabetes 94,445; Kidney 55,081; Chronic liver 52,274; Suicide 48,824. Total deaths ~3.07 million. Source: CDC NCHS FastStats / Data Brief 548. https://www.cdc.gov/nchs/fastats/leading-causes-of-death.htm
Ladder of published estimates:
- Makary MA, Daniel M. Medical error—the third leading cause of death in the US. BMJ. 2016;353:i2139. doi:10.1136/bmj.i2139. Estimate: 251,454 deaths/year (would rank #3). https://www.bmj.com/content/353/bmj.i2139
- James JT. A New, Evidence-based Estimate of Patient Harms Associated with Hospital Care. Journal of Patient Safety. 2013;9(3):122-128. doi:10.1097/PTS.0b13e3182948a69. Lower limit 210,000; true hospital number estimated >400,000 (commonly referenced ~440,000). https://pubmed.ncbi.nlm.nih.gov/23860193/
- Newman-Toker DE, Nassery N, Schaffer AC, et al. Burden of serious harms from diagnostic error in the USA. BMJ Quality & Safety. 2024;33(2):109-120. doi:10.1136/bmjqs-2021-014130. Estimate: ~795,000 serious harms annually (~371,000 deaths + ~424,000 permanent disabilities) from diagnostic error across all settings. https://qualitysafety.bmj.com/content/33/2/109
- Null G, Dean C, Feldman M, Rasio D, Smith D. Death by Medicine. New York, NY: Nutrition Institute of America; 2003. Comprehensive compilation: 783,936 deaths. Note: synthesis of multiple prior studies; debated for possible overlap.
- Brennan TA, Leape LL, Laird NM, et al. Incidence of adverse events and negligence in hospitalized patients. Results of the Harvard Medical Practice Study I. N Engl J Med. 1991;324(6):370-376. doi:10.1056/NEJM199102073240604. Adverse events in 3.7% of hospitalizations; national extrapolation commonly cited as ~1.3 million injuries and ~180,000 deaths (1984 data). https://www.nejm.org/doi/full/10.1056/NEJM199102073240604
- Lazarou J, Pomeranz BH, Corey PN. Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies. JAMA. 1998;279(15):1200-1205. doi:10.1001/jama.279.15.1200. Estimate: ~106,000 fatal ADRs in U.S. hospitals (1994). https://jamanetwork.com/journals/jama/article-abstract/187436
- Kohn LT, Corrigan JM, Donaldson MS, eds. To Err Is Human: Building a Safer Health System. Washington, DC: National Academy Press; 2000. Original estimate: 44,000–98,000 preventable hospital deaths. https://www.ncbi.nlm.nih.gov/books/NBK225182/
- Starfield B. Is US health really the best in the world? JAMA. 2000;284(4):483-485. doi:10.1001/jama.284.4.483. Early estimate placing iatrogenic causes as a top-tier killer. https://jamanetwork.com/journals/jama/fullarticle/192908
- Bates DW, Levine DM, Salmasian H, et al. The Safety of Inpatient Health Care. N Engl J Med. 2023;388(2):142-153. doi:10.1056/NEJMsa2206117. Adverse events in 23.6% of hospitalizations (22.7% preventable); preventable fatal events in ~0.1% of admissions (SafeCare successor to 1991 Harvard study). https://www.nejm.org/doi/full/10.1056/NEJMsa2206117
- Landrigan CP, Parry GJ, Bones CB, et al. Temporal trends in rates of patient harm resulting from medical care. N Engl J Med. 2010;363(22):2124-2134. doi:10.1056/NEJMsa1004404. 25.1 harms per 100 admissions (63.1% deemed preventable) and fatal harm in 0.6% of admissions using IHI Global Trigger Tool (primary data source for James and Makary). https://www.nejm.org/doi/full/10.1056/NEJMsa1004404
- Classen DC, Resar R, Griffin F, et al. ‘Global Trigger Tool’ shows that adverse events in hospitals may be ten times greater than previously measured. Health Aff (Millwood). 2011;30(4):581-589. doi:10.1377/hlthaff.2011.0190. Adverse events occurred in 33.2% of hospital admissions—roughly 10x higher than captured by voluntary reporting or standard patient safety indicators. https://www.healthaffairs.org/doi/10.1377/hlthaff.2011.0190
- Thomas EJ, Studdert DM, Burstin HR, et al. Incidence and types of adverse events and negligent care in Utah and Colorado. Med Care. 2000;38(3):261-271. doi:10.1097/00005650-200003000-00003. Adverse events in 2.9% of hospitalizations; national extrapolation established the 44,000 preventable deaths lower bound in To Err Is Human (1992 data). https://pubmed.ncbi.nlm.nih.gov/10718351/
- Singh H, Meyer AN, Thomas EJ. The frequency of diagnostic errors in outpatient care: estimations from three large observational studies involving US adult populations. BMJ Qual Saf. 2014;23(9):727-731. doi:10.1136/bmjqs-2013-002627. Estimate: 5.08% of U.S. adults (~12 million people/year) experience an outpatient diagnostic error, with ~50% carrying potential for severe harm. https://qualitysafety.bmj.com/content/23/9/727
- Magill SS, Edwards JR, Bamberg W, et al. Multistate point-prevalence survey of health care-associated infections. N Engl J Med. 2014;370(13):1198-1208. doi:10.1056/NEJMoa1306801. Estimate: 4.0% of hospitalized patients (~648,000 patients and 721,800 acute-care infections/year; traditionally associated with ~75,000 deaths). https://www.nejm.org/doi/full/10.1056/NEJMoa1306801
- Jena AB, Prasad V, Goldman DP, Romley J. Mortality and treatment patterns among patients hospitalized with acute cardiovascular conditions during dates of national cardiology meetings. JAMA Intern Med. 2015;175(2):237-244. doi:10.1001/jamainternmed.2014.6781. High-risk heart failure and cardiac arrest 30-day mortality dropped significantly (17.5% vs 24.8%; 59.1% vs 69.4%) during national cardiology conventions, alongside fewer invasive procedures. https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2038979
- Panagioti M, Khan K, Keers RN, et al. Prevalence, severity, and nature of preventable patient harm across medical care settings: systematic review and meta-analysis. BMJ. 2019;366:l4185. doi:10.1136/bmj.l4185. Meta-analysis of 337,025 patients: 12% overall harm rate, 6% preventable harm rate, with 12% of preventable harms causing permanent disability or death. https://www.bmj.com/content/366/bmj.l4185
- Rodwin BA, Bilan VP, Merchant NB, et al. Rate of Preventable Mortality in Hospitalized Patients: a Systematic Review and Meta-analysis. J Gen Intern Med. 2020;35(7):2099-2106. doi:10.1007/s11606-019-05592-5. Estimate: 3.1% of inpatient deaths (~22,165 U.S. deaths/year) overall, or 0.5%–1.0% (~7,150 deaths/year) in patients with >3-month baseline life expectancy. https://pubmed.ncbi.nlm.nih.gov/31965527/
- Shojania KG, Dixon-Woods M. Estimating deaths due to medical error: the ongoing controversy and why it matters. BMJ Qual Saf. 2016;26(5):423-428. doi:10.1136/bmjqs-2016-006144. Methodological analysis critiquing the 250,000–440,000 inpatient extrapolations and explaining ICD-10 underlying cause-of-death classification. https://qualitysafety.bmj.com/content/26/5/423
Under-reporting factors (key to any higher estimate):
- Levinson DR. Hospital Incident Reporting Systems Do Not Capture Most Patient Harm. Washington, DC: U.S. Department of Health and Human Services, Office of Inspector General; January 2012. Report No. OEI-06-09-00091. Hospital systems captured only ~14% of patient harm events (86% missed). https://oig.hhs.gov/reports/all/2012/hospital-incident-reporting-systems-do-not-capture-most-patient-harm/
- Adverse drug reaction reporting to systems such as MedWatch is commonly estimated at only 1–10% of serious events. Kessler DA. Introducing MEDWatch. JAMA. 1993;269(21):2765-2768. doi:10.1001/jama.1993.03500210065033.
- Many sources (including Null et al.) state that as little as 5% and no more than 20% of iatrogenic events are ever reported.
Additional supporting observations:
- SuperFreakonomics (Levitt & Dubner) and related literature: during doctor strikes (Los Angeles 1976, Israel, Colombia) and large medical conventions that pulled physicians out of a city, observed mortality rates fell 18–50% (largely from reduction in elective procedures and over-treatment of non-fatal conditions).
- Death certificates use underlying cause; medical error as immediate cause is not ranked by the CDC.
AI’s Estimates over time
Gemini Argon 4.0 – October 17th, 2026 = “370,000 to 527,000 deaths per year”
Grok v4.7 Expert – Estimates – October 17th, 2026 = My defensible estimate is roughly 450,000 annual U.S. deaths in which medical error or preventable medical harm was a significant contributing factor.
ChatGTP – October 17th, 2026 = “My best working estimate from the studies you’ve supplied is approximately 250,000–400,000 annual U.S. deaths associated with preventable medical harm or error”
Claud Heavy – October 17th, 2026 = “That’s roughly 400,000–520,000 all-in, call it ~450,000. “
Gemini Pro 3.1 Advanced Thinking – May 2026 = “783,936+” (this was the number used in the video at the time). Seems overinflated.
Related: Why 97.5% of people in the health care industry can never admit they were wrong | How to overcome the societal problem of Cognitive Dissonance | Secrets of the Outliers series.
Call to Action: Count Medical Harm Honestly
The CDC’s leading-cause rankings use underlying cause of death. That system leaves medical mistakes, diagnostic errors, and preventable adverse events largely invisible—even when they contribute to death.
Public trust requires the full picture. We call on the CDC and NCHS to:
- Add a clear, public annual report on deaths in which medical error or preventable harm was a significant contributing factor.
- Improve capture of these events through mandatory, non-punitive reporting and routine chart-review audits.
- Publish both the underlying-cause rankings and the contributing-factor data side by side, with methods fully transparent.
- Enact strong whistleblower protections for anyone who reports medical harm.
- Enact strong legal and financial consequences for anyone hiding medical harm.
- Create large cash incentives for verified reports of preventable medical harm and death.
Accurate numbers are not a threat to trust. Hidden ones are. Release the data.
Send This to Your Representative and Senators
Copy and paste the message below. Replace the bracketed fields with your information.
Subject: Require the CDC to publicly report medical-error deaths Dear [Representative/Senator Last Name], I am writing to ask you to support action that requires the CDC and NCHS to report deaths in which medical error or preventable harm was a significant contributing factor. In attempts to assist the CDC’s #1 goal of "regaining public trust", we ask that they start to honestly report the true causes of death. Presently, they only list the underlying cause, but not the immediate cause. As a result, all medical mistakes, diagnostic errors, and preventable adverse events (estimates to be between 250K-780K annually) remain largely invisible in the official statistics—even when they contribute to death. Multiple studies have estimated substantial numbers of such deaths. Public trust in health institutions is low; transparent data is a necessary step toward restoring it. If no problem officially exists, then no resources will ever be allocated to fix it. Millions of lives have already been taken, blood is on the hands of all those not supporting this. Please support legislation or oversight that directs the CDC/NCHS to: - Publish a clear annual public report on deaths in which medical error or preventable harm was a significant contributing factor. - Improve capture of these events through mandatory, non-punitive reporting systems and routine chart-review audits. - Publish both the underlying-cause rankings and the contributing-factor data side by side, with methods fully transparent. - Enact strong whistleblower protections for anyone who reports medical harm. - Enact meaningful legal and financial consequences for institutions or individuals who conceal medical harm. - Create substantial cash incentives for verified reports of preventable medical harm and death. Accurate numbers are not a threat to public trust. Hidden ones are. Key references: CDC leading causes: https://www.cdc.gov/nchs/fastats/leading-causes-of-death.htm Makary & Daniel, BMJ 2016: https://www.bmj.com/content/353/bmj.i2139 Newman-Toker et al., BMJ Quality & Safety 2024: https://qualitysafety.bmj.com/content/33/2/109 Rodwin et al., J Gen Intern Med 2020: https://pubmed.ncbi.nlm.nih.gov/31965527/ OIG report on under-reporting: https://oig.hhs.gov/reports/all/2012/hospital-incident-reporting-systems-do-not-capture-most-patient-harm/ Thank you for your attention to this issue. Sincerely, [Your Name] [Your Address] [Your City, State, ZIP] [Your Email] [Your Phone]
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