Fit Mess: Health, Wellness, and Mindset in the Age of AI

Why Your Phone Knows You're Depressed Before You Do


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My productivity hack: https://www.magicmind.com/FITMESS20 Use my code FITMESS20 for 20% off #magicmind ---- Will robots decide if you keep your nuts based on cancer predictions?

The world of predictive healthcare is here, and it's not the helpful crystal ball we hoped for. Insurance companies are already using AI to analyze your genetic data, social media posts, and digital footprints to predict everything from mental health crises to testicular cancer. The catch? They're not using this information to help you - they're using it to deny coverage and shift financial responsibility back to you when predictions go wrong.

In this episode:

  • Learn how AI is currently being used to predict your health outcomes
  • Understand the financial and personal risks of genetic data sharing
  • Discover practical steps to protect your data and maintain autonomy

Listen to this episode to understand what's at stake before you become a statistic in someone else's algorithm.

Topics Discussed:
  • How genetic testing companies are selling your DNA data to healthcare analytics firms
  • The nightmare scenario of preventive surgery based on AI predictions with moderate confidence levels
  • Why American healthcare profits are driving global surveillance standards
  • How social media monitoring can predict mental health episodes before they happen
  • The reality of insurance companies using AI to deny coverage based on "prior knowledge"
  • Brain-computer interfaces and the subscription model for your thoughts (Black Mirror style)
  • GDPR vs. American data protection laws and what rights you actually have
  • Why HIPAA doesn't protect you from insurance company data mining
  • The difference between humanitarian AI tools and profit-driven surveillance systems
  • Practical steps to minimize your digital health footprint starting today

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Fit Mess: Health, Wellness, and Mindset in the Age of AIBy Jeremy Grater, Zach Tucker, Jason Haworth, and Joe Villegas

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