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America’s 911 System Is Facing Its Own Emergency
Reporting by Type InvestigationsRead the original at typeinvestigations.org
Executive Summary
Facts Only
* Caitlin Ditta experienced bleeding while breastfeeding on July 4, 2023.
* Ditta called 911 and her husband but received no response.
* At the time of the call, Oakland’s telecommunicators answered only 42 percent of emergency calls within 15 seconds.
* The national average EMS response time is roughly seven to ten minutes.
* The National Emergency Number Association (NENA) benchmark requires dispatch centers to answer 90 percent of calls in 15 seconds or less.
* In 2025, the Los Angeles Police Department picked up only 64 percent of its 911 calls within 15 seconds.
* In Kansas City, Missouri, police telecommunicators answered just 56 percent of 911 calls within 15 seconds in 2024.
* Between 2019 and 2022, the average vacancy rate in US 911 centers was around 25 percent.
* A recent survey of nearly 1,400 911 professionals found that 74 percent worked in struggling centers.
* Some cities, including Phoenix, Portland, Las Vegas, and Atlanta, all failed the NENA test in 2025.
Full Take
From the original · Type Investigations
On July 4, 2023, Caitlin Ditta had just finished hosting a barbecue with her husband and baby daughter when she felt a strange sensation. Ditta, a 33-year-old school therapist living in Oakland, California, had suffered a hemorrhage after giving birth in the hospital a few weeks earlier.Read the full story at typeinvestigations.org
Sentinel — provisional
No strong signs of machine writing were found in the source article. Provisional estimate, not a finding that a person wrote it.
This text is a skillfully woven journalistic piece that uses a personal tragedy to illuminate deep, documented failures within the American 911 emergency infrastructure, exhibiting strong narrative cohesion.
This looks only at the wording of the original source article, not at this page's AI-written sections. A small local AI model made this estimate. It has not been checked against known human and machine texts, so treat it as provisional. It cannot show who wrote an article.
