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West Bengal CM Mamata Blames NRC for a Person’s Death as SIR Exercise Begins in the State
Pradeep Kar blamed the National Register of Citizens and the Special Intensive Revision of electoral rolls for his distress before his death, sparking political controversy in West Bengal.
- On Tuesday morning, 57-year-old Pradeep Kar was found dead at his Panighati, Barrackpore home, leaving a note blaming the NRC for his death as the Special Intensive Revision was announced.
- After the poll body's SIR announcement on Monday, the exercise was slated for 12 states and Union Territories including West Bengal, with draft rolls due December 9 and final list on February 7, 2026.
- Family members found Kar unresponsive after his brother's wife called him repeatedly following dinner, and Barrackpore police sent the body for post-mortem as a probe began; his elder sister said he feared NRC implementation.
- Mamata Banerjee called the death an `indictment of BJP's politics of fear and division`, while Amit Malviya urged, `The tragic death of Pradeep Kar must be investigated thoroughly- the cause of suicide can and must be determined only by law and investigating agencies`.
- The incident has reignited debate over NRC and the SIR in West Bengal, with Assam 2019 update excluding 19 lakh residents and not yet notified.
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13 Articles
"NRC Responsible...": Man In Bengal Dies By Suicide, Political Row Erupts
A 57-year-old man in West Bengal died by suicide on Tuesday, blaming the National Register of Citizens (NRC). His death has triggered a political slugfest between the ruling Trinamool Congress (TMC) and the opposition Bharatiya Janata Party (BJP).
·New Delhi, India
Read Full ArticleWest Bengal CM Mamata blames NRC for a person’s death as SIR exercise begins in the State
The social media post by Chief Minister Mamata Banerjee linking the death of the Khardah resident with NRC is the first response after the Election Commission of India (ECI) on Monday announced SIR in 12 states, including West Bengal
·India
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Total News Sources13
Leaning Left4Leaning Right3Center0Last UpdatedBias Distribution57% Left
Bias Distribution
- 57% of the sources lean Left
57% Left
L 57%
R 43%
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