AlterNet: CEO's murder provokes 'dark' humor in response to America's 'dysfunctional healthcare system'
AlterNet - CEOs murder provokes 'dark' humor in response to Americas 'dysfunctional healthcare system'
In the early morning hours of Wednesday, December 4, 2024, UnitedHealth CEO Brian Thompson was shot dead by a masked gunman who remains at large. On social media, his murder was met not with an outpouring of mourning, but ridicule.
In an article published by Science publication Futurism, writer Victor Tangermann explored the "incredibly dark" responses to Thompson's killing on platforms like X and Bluesky. He noted that many of the responses were "gallows humor" that were both "simultaneously ghoulish" yet also "illustrative of America's profoundly dysfunctional medical system."
"Rotating Sandwiches" meme creator Lauren Walker wrote on Bluesky: "[A]ll human life is sacred, so it's not proper to laugh when serious harm befalls someone," she wrote. "[T]he moral thing to do is instead charge them hundreds of thousands of dollars."
"Our apologies, but bullet wounds are only covered under our platinum+ package," one user wrote in response.
Many of the memes circulating in response to Thompson's murder invoke the cold nature of the private health insurance industry, in which an insured's claim can be denied even if it's for filling a prescription for medication prescribed by their doctor or for treatment necessary to save someone's life. LendingTree's ValuePenguin wrote that UnitedHealth is the worst offender, denying roughly one-third of all in-network claims (32%), which is double the industry average of 16%.
UnitedHealth has also been accused in a lawsuit of using artificial intelligence (AI) to deny claims filed by Medicare Advantage patients. The plaintiffs claim that the company had knowledge that the AI it was using "had a high potential for error," and that UnitedHealth employees were pressured by supervisors to use the algorithm to issue denials. They were also reportedly told to keep patient stays within 1% of the length of stay predicted by the AI.
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