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Mexican government seizes motorcycles, drugs in raids connected to Ryan Wedding
Mexican authorities seized 62 motorcycles, drugs, Olympic medals, and weapons in raids linked to Ryan Wedding’s alleged international drug-trafficking network.
- Recently, Mexican authorities raided four properties in Mexico City and State of Mexico, seizing 62 motorcycles, two Olympic medals, weapons cartridges, artwork and documents.
- With a $15,000,000 reward, U.S. authorities and the RCMP say Ryan Wedding is linked to dozens of murders and built a billion-dollar drug network, the manhunt lasting over a year.
- The FBI previously ran a social-media campaign focused on Mexico City suburbs, with Mexico's navy, national guard and Fiscalía General de la República agents conducting raids; Laura Eimiller said, "We believe that there are potentially people in that area who have information about his whereabouts."
- About 30 alleged associates have been arrested or sought, while U.S. Treasury Department and FBI seized a $13 million Mercedes-Benz CLK-GTR Roadster linked to Rolan Sokolovski.
- None of the allegations have yet been tested in court, and earlier this week Ontario court granted bail to Deepak Paradkar, who faces U.S. extradition on charges linked to plotting witness Jonathan Acebedo-Garcia's murder.
Insights by Ground AI
68 Articles
68 Articles
Mexican authorities seized motorcycles and Olympic medals during searches possibly related to Ryan James Wedding.
·Montreal, Canada
Read Full ArticleThe Canadian was added to the FBI's list of most wanted fugitives in March.
·Montreal, Canada
Read Full ArticleThe Mexican authorities conducted four searches in homes linked to a suspect, the description of which corresponds to that of Ryan Wedding, a former Olympic snowboarder and alleged Canadian drug baron.
·Montreal, Canada
Read Full ArticleAuthorities secured 62 high-end motorcycles, drugs and valuables during falls linked to Ryan Wedding, related to the Sinaloa Cartel
Coverage Details
Total News Sources68
Leaning Left22Leaning Right5Center7Last UpdatedBias Distribution65% Left
Bias Distribution
- 65% of the sources lean Left
65% Left
L 65%
C 20%
15%
Factuality
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