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Florida Man Accused of Stealing Trading Cards, Selling Them Online for Nearly $40,000
Keith Wallis faces multiple felony charges after allegedly stealing trading cards worth over $10,000 from Target stores and generating nearly $40,000 selling them on eBay.
- On Thursday, Florida officials announced that Keith Wallis, 39, of Palm Beach was arrested for organized retail fraud at multiple Target stores from Orlando to Miami.
- Across 75 thefts between July 2025 and February of this year, Wallis allegedly paid only for 99-cent taco seasoning packets at self-checkout and sold stolen trading cards on eBay.
- Authorities reported Target lost over $10,000, and Wallis faces up to 90 years if convicted on all charges, officials said.
- Assistant Statewide Prosecutors Chris Olowin and Monique Wilson will prosecute the case in Florida's Nineteenth Judicial Circuit, with state officials warning these schemes will face maximum legal punishment.
- Investigators said the probe remains active and officials warned organized retail theft raises consumer prices, with possible additional thefts at Walmart and Publix being investigated by Palm Beach County Sheriff's Office and the Office of Statewide Prosecution.
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Florida man accused of using taco seasoning packets in organized retail fraud scheme
A man from Palm Beach County was arrested in an organized retail fraud scheme at multiple Target locations spanning from Orlando to Miami, Florida's attorney general announced Thursday.
·Miami, United States
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Attorney General James Uthmeier announced Thursday the arrest of 39-year-old Keith Wallis, a Palm Beach resident, on two counts of organized shoplifting, three charges of trafficking stolen goods, and a money laundering charge. "Florida has the number one economy in the country thanks to our commitment to law and order," Attorney General James Uthmeier stated in a statement. "Organized shoplifting raises prices for consumers, and we will not tol…
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Total News Sources20
Leaning Left2Leaning Right9Center7Last UpdatedBias Distribution50% Right
Bias Distribution
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50% Right
11%
C 39%
R 50%
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