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Comedy

Info You Can Use: She breaks down myths surrounding crypto, and scams.

podcast October 15, 2025


Background
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Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Dr. Tonya M. Evans.

A leading authority in copyright, trademark, fintech, and technology law. Dr. Evans discusses the future of digital money, cryptocurrency, and AI in 2025, offering insights from her book Digital Money Demystified.

🔑 Key Themes & Highlights

  1. Understanding Digital Money & Cryptocurrency

    • Explains the evolution of digital money and how cryptocurrency is reshaping financial transactions.
    • Breaks down myths surrounding crypto, including volatility, scams, and environmental impact.
  2. The Role of Blockchain in Finance

    • Discusses how blockchain technology ensures secure transactions and prevents fraud.
    • Highlights how governments and financial institutions are adapting to decentralized finance.
  3. Setting Up a Cryptocurrency Wallet

    • Provides step-by-step guidance on creating a crypto wallet using platforms like Cash App, Venmo, Robinhood, and Trust Wallet.
    • Emphasizes security measures to protect digital assets from cyber threats.
  4. Scams & Fraud Prevention in Crypto

    • Warns about common scams, including pump-and-dump schemes and fraudulent investment opportunities.
    • Shares how blockchain forensics help recover stolen funds and track illicit transactions.
  5. The Future of AI & Digital Finance in 2025

    • Predicts how AI will enhance financial security, automate transactions, and improve investment strategies.
    • Discusses the increasing shift toward a cashless society and digital banking.

📘 About Dr. Tonya M. Evans
Dr. Evans is a tenured professor at Penn State Dickinson Law and an expert in fintech and technology law. Her book, Digital Money Demystified, provides a comprehensive guide to understanding cryptocurrency and its impact on the financial landscape.

#AMI

#STRAW

#BEST

#SHMS

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See omnystudio.com/listener for privacy information.

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