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Ami Horowitz: It's Statistically Safer to Be Trans in America Than Not

New York PostNovember 11, 20253 min8,454 views
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Challenging the Narrative of Transgender Danger

  • 🎯 The filmaker Ami Horowitz challenges the pervasive narrative that transgender individuals are uniquely targeted for death in America.
  • πŸ’‘ This narrative, pushed by media and trans advocates, is presented as a falsehood that fuels fear and violence.

Statistical Analysis of Transgender Deaths

  • πŸ“Š Horowitz examined data on transgender deaths in 2024, finding that the claim of higher targeting rates is statistically inaccurate.
  • πŸ“‰ After excluding accidents and hit-and-runs, the rate of transgender individuals killed is 0.50 per 100,000, compared to nearly 5 per 100,000 for the general population, indicating it is statistically safer to be trans.
  • πŸ” A review of individual cases found no instances of hate crimes or killings by conservatives among the analyzed deaths.

Causes of Violence and Misinformation

  • πŸ’” Most transgender individuals who were killed were victims of incidents involving lovers, robberies, or random shootings, all of which are tragic but not indicative of targeted anti-trans violence.
  • ⚠️ The continued rhetoric that trans people are being targeted for death is identified as a significant problem.

AI and Data Interpretation

  • πŸ€– When asked if trans people are killed at a lower rate than the general population, ChatGPT initially stated the claim was not supported by evidence.
  • 🀯 Horowitz expresses disbelief that ChatGPT would attempt to obscure these statistics when presented with the same data.

International Comparisons and US Context

  • 🌍 Horowitz contrasts the situation in the US with other countries like Brazil or Ecuador, where the trans community might have more reason to fear for their safety.
  • πŸ‡ΊπŸ‡Έ The reality in the US is presented as significantly different and safer for transgender individuals compared to global statistics.
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What’s Discussed

Transgender RightsHate CrimesMedia BiasStatistical AnalysisRhetoricViolence Against Transgender PeopleChatGPTData InterpretationUS Safety StatisticsTransgender Activism
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