US EditionDivers Find Car Linked to 37-Year-Old Cold Case in Quebec River
DEUX-MONTAGNES, QUEBEC, CANADA, JUL 20 – Divers found a vehicle and human bones linked to Robert St-Louis, missing since 1988, potentially resolving a decades-old cold case, police said.
- Police found a vehicle on Sunday, July 20, 2025, in the Mille-Îles River near Grand-Moulin Crescent, Deux-Montagnes, Quebec.
- The find came after members of Exploring With a Mission conducted a sonar scan and detected an upside-down vehicle resembling the tan Jeep Cherokee Chief registered to Robert St-Louis, who disappeared in June 1988.
- Diver Dan Pritchard confirmed early Sunday that the vehicle matched St-Louis’s Jeep Cherokee Chief and observed bones believed to be human remains inside while police set a security perimeter and requested provincial divers’ assistance.
- William McIntosh stated in a phone interview that while they are unable to verify the identity of the individual, they are sure the vehicle has been found. He also mentioned that the search uncovered additional cars in the same river area.
- Police are investigating to validate the findings, and the case will be passed to Laval police whose crimes division will attempt to identify any recovered remains.
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1988 Quebec missing person's case solved after bones found in river identified
MONTREAL — Montreal-area police say a missing person's case from 1988 has been solved with the recent discovery of human remains in a vehicle submerged in a river. Robert St-Louis, a 42-year-old father of five from Laval, Que.
A vehicle found in Deux-Montagnes could be linked to a disappearance in Laval
A vehicle found Sunday in the Mille-Îles River in Deux-Montagnes could be linked to a missing person case in Laval, according to the Lac des Deux-Montagnes Police. At around 7:15 a.m., the municipal police force received a call from a man belonging to the diving group “Exploring with a Mission” about a vehicle found in […]
·Toronto, Canada
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Total News Sources18
Leaning Left9Leaning Right1Center3Last UpdatedBias Distribution69% Left
Bias Distribution
- 69% of the sources lean Left
69% Left
L 69%
C 23%
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