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Manitoba NDP, Tories trade accusations and insults in testy legislature session
The Manitoba legislature session was marked by loud partisan clashes and mutual accusations of offensive language, with the Speaker struggling to maintain decorum amid rising tensions.
- On March 18, 2026 the NDP accused Opposition Progressive Conservative Leader Obby Khan of using transphobic language toward Health Minister Uzoma Asagwara, Manitoba's first non-binary MLA, who said they heard Khan say 'Whatever you are'.
- Opposition Leader Khan said he asked the NDP to repeat comments outside the chamber, where parliamentary privilege would not protect them, and accused Speaker Tom Lindsey of failing to control proceedings.
- Witness accounts say the exchange happened during loud back-and-forth heckling, complicating verification, and the alleged remark did not register on the official recording of proceedings.
- Tom Lindsey, Speaker of the Manitoba Legislature, warned MLAs Wednesday to lower noise as clashes continued and Khan accused him of failing to curb NDP insults.
- In recent years, the Manitoba legislature has seen multiple accusations of improper language, including a 2016 NDP apology and a 2012 incident involving allegations against Brian Pallister, with tensions flaring last fall involving Premier Wab Kinew.
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Accusations of racism, transphobia roil Manitoba Legislature
Manitoba politicians acknowledge heckling is part of legislative culture. The Tories and New Democrats say the latest shouting match, which included accusations of racism and transphobia, crosses a line — they just disagree over who's at fault.
·Canada
Read Full Article+8 Reposted by 8 other sources
Manitoba NDP, Tories trade accusations and insults in testy legislature session
The governing New Democrats have accused Opposition Progressive Conservative Leader Obby Khan of using bigoted and transphobic language, after he criticized Health Minister Uzoma Asagwara this week.
·Toronto, Canada
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Total News Sources11
Leaning Left7Leaning Right0Center2Last UpdatedBias Distribution78% Left
Bias Distribution
- 78% of the sources lean Left
78% Left
L 78%
C 22%
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