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U.S. ambassador called back to Washington, cancels speaking appearance in Ottawa
Organizers said Hoekstra was called to Washington, D.C., for urgent meetings, and his session was removed from the conference website.
- On Friday, U.S. Ambassador to Canada Pete Hoekstra canceled his planned fireside chat at the Canada Strong and Free Network conference in Ottawa after organizers said he was recalled to Washington, D.C., for urgent meetings.
- Conference organizers removed Hoekstra's session and photograph from their website, confirming his withdrawal from the event's public program following the sudden request to return to the U.S. capital.
- The gathering featured other prominent speakers, including former U.S. Secretary of State Mike Pompeo and Alberta Premier Danielle Smith, who participated in discussions on conservative politics and Canada-U.S. relations.
- Attendees lost a promised high-profile U.S. perspective as organizers managed logistical complications throughout the day following Hoekstra's last-minute withdrawal from the schedule.
- Ongoing panels on the Canada-U.S. relationship continue, while Conservative MP Jamil Jivani recently met with U.S. Trade Representative Jamieson Greer to discuss bilateral priorities.
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U.S. Ambassador cancels speaking appearance in Ottawa due to ‘important’ meetings with White House officials
U.S. Ambassador Pete Hoekstra has cancelled a planned speaking engagement in Ottawa. Just over one hour before Hoekstra was scheduled to be a featured speaker at the 2025 Canada Strong and Free Networking Conference in Ottawa organizers announced the ambassador’s fireside chat had been cancelled.
·Canada
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The Toronto Star+14 Reposted by 14 other sources
U.S. ambassador no longer slated to speak at conservative conference
OTTAWA - Conservatives gathered in Ottawa will hear from Alberta Premier Danielle Smith this afternoon as the Canada Strong and Free Network conference continues.
·Toronto, Canada
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Total News Sources19
Leaning Left9Leaning Right1Center5Last UpdatedBias Distribution60% Left
Bias Distribution
- 60% of the sources lean Left
60% Left
L 60%
C 33%
Factuality
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