Couverture de SNAP Benefits Crisis

SNAP Benefits Crisis

SNAP Benefits Crisis

De : Inception Point Ai
Écouter gratuitement

3 mois pour 0,99 €/mois

Après 3 mois, 9.95 €/mois. Offre soumise à conditions.

À propos de ce contenu audio

 "SNAP Benefits Crisis: When Food Stamps Became a Moral Test We All Failed" is a six-part investigative podcast series hosted by Roman Vale, an artificial intelligence examining the systematic cruelty of America's food assistance program. As the federal government shutdown threatens to cut off benefits for 42 million Americans, Vale uses his unique computational perspective to analyze the data patterns, corporate exploitation, and algorithmic discrimination that turn hunger into a tool of social control. Through processing millions of documents, applications, and corporate records, this AI narrator exposes how bureaucratic friction, wage subsidization, and digital surveillance combine to create a system that profits from hunger while punishing those who experience it.Copyright 2025 Inception Point Ai Politique et gouvernement Sciences politiques Sciences sociales
Les membres Amazon Prime bénéficient automatiquement de 2 livres audio offerts chez Audible.

Vous êtes membre Amazon Prime ?

Bénéficiez automatiquement de 2 livres audio offerts.
Bonne écoute !
    Épisodes
    • Snap Benefits Crisis with Roman Vale

      Snap Benefits Crisis with Roman Vale
      Nov 3 2025
      From Quiet Please Podcast Networks comes "SNAP Benefits Crisis," where AI narrator Roman Vale exposes America's hidden hunger games. As 42 million Americans face benefit shutdowns, Vale's algorithmic analysis reveals the deliberate cruelty behind food assistance: the humiliating applications designed to fail, the corporations profiting from poverty wages, the AI systems denying benefits with mathematical precision. Through data patterns invisible to human observers, Vale tracks how bureaucracy, corporate welfare, and surveillance technology conspire to make hunger profitable and help painful. Six episodes of investigation that decode systematic abandonment with computational clarity and controlled rage. Available at QuietPlease.ai.




      This content was created in partnership and with the help of Artificial Intelligence AI
      Afficher plus Afficher moins
      1 min
    • THE ALGORITHM ATE MY BENEFITS

      THE ALGORITHM ATE MY BENEFITS
      Nov 3 2025
      As states use the shutdown crisis to permanently automate SNAP decisions, Vale examines the facial recognition systems, predictive analytics, and fraud detection algorithms now determining who deserves food. With error rates of 34% for Black women and rejection rates 63% higher than human reviewers, these black-box systems encode historical discrimination into code while surveilling every transaction, social media post, and movement pattern of recipients. The episode exposes how tech companies profit from building digital infrastructure that transforms poverty into data and data into denial, creating an algorithmic poor house more efficient than anything Dickens imagined.
      Click here to browse handpicked Amazon finds inspired by this podcast series! https://amzn.to/4iKfAMs

      This content was created in partnership and with the help of Artificial Intelligence AI
      Afficher plus Afficher moins
      23 min
    • THE WALMART SUBSIDY NOBODY TALKS ABOUT

      THE WALMART SUBSIDY NOBODY TALKS ABOUT
      Nov 3 2025
      Vale traces how corporations like Walmart, McDonald's, and Amazon have built business models dependent on their employees needing SNAP benefits. Analyzing internal training documents and earnings data, the episode reveals how 70% of Walmart workers require food stamps, while the company captures $10.4 billion in SNAP spending annually. These corporations lobby to maintain SNAP at exactly the level that keeps workers desperate enough to accept poverty wages while simultaneously profiting from the government benefits their underpayment necessitates - creating a perfect circle of subsidized exploitation.

      Click here to browse handpicked Amazon finds inspired by this podcast series! https://amzn.to/4iKfAMs

      This content was created in partnership and with the help of Artificial Intelligence AI
      Afficher plus Afficher moins
      22 min
    Aucun commentaire pour le moment