Published • loading... • Updated
Australian MP attacked outside her office, says PM
Police arrested a 43-year-old suspect and seized a knife as they investigate whether the attack on Helen Haines was intentional.
- On Monday, Independent Federal Member for Indi Helen Haines was struck by a vehicle outside her Wangaratta office and is in critical condition, Prime Minister Anthony Albanese said. Haines was unloading her car when struck by the Toyota Landcruiser.
- Victoria Police arrested a 43-year-old Tarrawingee man at the scene; officers seized a knife from inside the vehicle. The Major Collison Investigation Unit is examining whether the act was intentional.
- Albanese confirmed the Joint Counter-Terrorism Team has been activated alongside investigations by the Australian Federal Police and Victoria Police. He said it is "too early" to determine a motive for the incident.
- "All of our thoughts are with Helen, her family, her friends, her team, and her community at this extremely difficult time," Albanese told journalists. Reports of harassing behavior toward high-office holders have risen to 1067.
- Haines, 65, has served as the Independent Federal Member for Indi since 2019 and was re-elected in 2022 and 2025. Before entering parliament, she worked as a nurse, midwife, and health researcher in Victoria.
Insights by Ground AI
121 Articles
121 Articles
Shock in Australia: In broad daylight, an off-road vehicle drives a prominent MP and seriously hurts them. The driver is in custody, an anti-terrorist team is being investigated.
An Australian Member of Parliament is in critical condition after being hit by a car on Monday just outside her office in Wangaratta, northeast of Melbourne.
·Rotterdam, Netherlands (Kingdom of the)
Read Full Article
berlingske.dk+2 Reposted by 2 other sources
MP hit by vehicle in suspected "deliberate" attack. 43-year-old suspect arrested.
·Copenhagen, Denmark
Read Full ArticleCoverage Details
Total News Sources121
Leaning Left57Leaning Right11Center28Last UpdatedBias Distribution59% Left
Bias Distribution
- 59% of the sources lean Left
59% Left
L 59%
C 29%
12%
Factuality
To view factuality data please Upgrade to Premium
