Florida Fourth District Court of Appeal building in West Palm Beach, used for Swift Law Insights articles on appellate decisions.

Florida 4th DCA Lets Defamation-By-Implication Case Proceed Against CNN

Case: Black v. CNN, Inc., No. 4D2023-1257 (Fla. 4th DCA Sept. 10, 2025)

In 2015, CNN ran a series of articles and broadcasts alleging that St. Mary’s Hospital’s pediatric heart surgery program—led by Dr. Michael Black—had a “secret” mortality rate more than three times the national average. Reporters calculated a 12.5% death rate for infant open-heart surgeries between 2011 and 2013 using state filings and interviews with parents, while the Society for Thoracic Surgeons reported a national average of 3.3%. The coverage, including a feature on Anderson Cooper 360°, portrayed the program as unsafe and suggested that children were dying because of Dr. Black’s surgeries. CNN acknowledged that St. Mary’s disputed the figures and emphasized that raw data could be misleading without risk adjustment, but nonetheless emphasized its own calculations in graphics and headlines.

Dr. Black filed suit for defamation, arguing that CNN’s reliance on “raw” data created the false impression that he was an incompetent and dangerous surgeon. After years of litigation, the trial court granted summary judgment for CNN and its reporters, holding that the reporting was a protected methodological dispute.

On appeal, the Florida Fourth District Court of Appeal reversed in part. The court reasoned that while CNN’s numbers were not literally false, presenting them without context could support a claim of defamation by implication. The judges distinguished CNN’s reporting from scientific debate in peer-reviewed journals, noting that these broadcasts were aimed at the general public, who could be misled by unadjusted statistics. The panel reinstated Dr. Black’s claims against CNN and three of its journalists, but affirmed dismissal of claims against one reporter, Dana Ford, who had only republished prior vetted content.

Why It Matters
  • Media & Reporting Risk: Organizations that publish or broadcast data should be aware that raw statistics without context may expose them to defamation claims, especially if those statistics are used to imply negligence or unsafe practice.
  • Editorial Standards & Disclosure: Entities—media outlets, hospitals, or any business referenced—need to ensure that when reporting statistics (death rates, performance metrics, etc.), they clearly disclose how data are calculated, whether risk-adjusted, and other relevant context to mitigate misunderstanding.
  • Defamation-By-Implication Matters: This case reinforces that not only false statements, but also suggestions or implications (e.g., “this doctor caused babies to die”) based on statistical reporting can be actionable, shifting more risk onto publishers and media producers when accuracy and nuance are missing.

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