Categories: Crypto Scams & Fraud

Tennessee Crypto Scams: $82 Million Lost! FBI Warns You Need to Know



Last year, Tennesseans lost over $82 million to cryptocurrency scams, according to the FBI’s 2024 Internet Crime Report. In this video, we dive into the alarming rise of crypto fraud, how these scams operate, and what you can do to protect yourself. Learn about the most common scams like ‘pig butchering’ and hear from experts Janet and Todd Gatewood from Bitcoin Ben’s Crypto Club Nashville on how to navigate the crypto world safely. Don’t fall victim to these scams—stay informed and secure your investments!

🔗 Report scams: [IC3 Complaint Portal](https://complaint.ic3.gov/)

Key Takeaways:
– The average loss per victim is around $5,000.
– Seniors over 60 are the most affected.
– Always verify investments and never trust someone you’ve only met online.

Stay safe, stay smart, and keep your money secure!

source

Corruption Buzz

Recent Posts

CZ Praises Pakistan’s 2025 Crypto Vision and Regulatory Speed – Live Bitcoin News

CZ Praises Pakistan’s 2025 Crypto Vision and Regulatory Speed  Live Bitcoin News Source link

17 minutes ago

Philippine police deployed to arrest 18 suspects in a corruption scandal that has sparked outrage – WHAS11

Philippine police deployed to arrest 18 suspects in a corruption scandal that has sparked outrage  WHAS11…

44 minutes ago

Three political scandals that shook modern Sweden – The Local Sweden

Three political scandals that shook modern Sweden  The Local Sweden Source link

54 minutes ago

Houston Police suspended cases controversy: A big scandal or common police practice? – Houston Landing

Houston Police suspended cases controversy: A big scandal or common police practice?  Houston Landing Source link

2 hours ago

Three political scandals that shook modern Sweden – The Local Sweden

Three political scandals that shook modern Sweden  The Local Sweden Source link

2 hours ago

HMOA-GNN: adaptive adversarial GraphSAGE with hierarchical hybrid sampling and metric-optimized graph construction for credit card fraud detection – Nature

HMOA-GNN: adaptive adversarial GraphSAGE with hierarchical hybrid sampling and metric-optimized graph construction for credit card…

2 hours ago