Grenade attack on Punjab YouTuber's house: Army jawan held for training main accused
Chandigarh, Apr 17 (PTI) An Army jawan posted in Jammu and Kashmir has been arrested for allegedly imparting online training to the man who hurled a grenade at the residence of a Jalandhar-based YouTuber last month, Punjab Police said on Thursday.
A court in Jalandhar sent the jawan, Sukhcharan Singh, to five-day police remand, police officials said.
The main accused, Hardik Kamboj, hurled the hand grenade at the house of YouTuber Rozer Sandhu on the intervening night of March 15 and 16. However, the grenade did not explode.
During the course of investigation, it came to light that Singh provided online training to Kamboj on throwing the grenade at the residence of the YouTuber, said Senior Superintendent of Police (Jalandhar Rural) Harvinder Singh Virk.
Singh came in contact with Kamboj through social media platform Instagram, police said.
Singh, who hails from Muktsar district, was named in the FIR and an arrest warrant was secured from a court, the SSP said.
Police said they apprised the Army authorities about Singh's role in the matter.
A court in Jalandhar sent Singh to five-day police remand. Further investigation in the matter is underway, they said.
Police have so far arrested nine people, including Kamboj, in this case.
Pakistani gangster Shahzad Bhatti claimed responsibility for the attack at Sandhu's house over his use of alleged derogatory language against the Muslim community.
There have been many explosions targeting police posts in Amritsar and Gurdaspur in the past four to five months.
Last month, a blast occurred outside a temple in Amritsar.
A grenade blast took place at the residence of BJP leader Manoranjan Kalia in Jalandhar on April 8 but no one was hurt.
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Vartha Bharati–Sankalp predictions align closely with Karnataka bypoll results
Bengaluru: The Vartha Bharati–Sankalp election analysis has shown a high level of accuracy in predicting the outcome of the recent Karnataka Assembly by-elections held in May 2026, correctly calling winners in both constituencies and closely estimating vote share trends.
The by-elections were held in Bagalkot and Davanagere South, drawing significant political attention as both seats were seen as key tests for the ruling Congress and opposition BJP.
According to the analysis, Vartha Bharati–Sankalp had made three major projections ahead of the results the winning party, vote share percentages, and margin of victory.
In both constituencies, the platform accurately predicted that the Congress would emerge victorious. The outcome matched the projections, with Congress candidates winning in Bagalkot and Davanagere South.
In terms of vote share, the predictions were largely in line with the final results. In Bagalkot, the BJP’s vote share was forecast in the range of 40 to 46 per cent, while the actual figure stood at 42.9 per cent. The Congress vote share, however, exceeded expectations, with the party securing 55.4 per cent against a projected range of 43 to 48 per cent.
The margin of victory in Bagalkot turned out to be significantly higher than anticipated. While the projection had placed the margin between 2,000 and 3,500 votes, the final margin was around 22,332 votes.
In Davanagere South, the predictions also remained largely accurate. The Congress vote share was projected between 43 and 51 per cent, and the final figure stood at 43.9 per cent. The BJP was expected to secure between 42 and 50 per cent but ended with 40.3 per cent.
The analysis had also identified the role of SDPI as a potential spoiler in the constituency. While its vote share was estimated around 6 per cent, the party eventually secured around 12 per cent of the vote.
The margin of victory in Davanagere South was predicted to be between 1,500 and 2,600 votes. The actual margin was higher at around 5,708 votes, though the contest remained relatively close as anticipated.
Overall, the performance of Vartha Bharati–Sankalp stood out for correctly identifying the winning parties in both seats and maintaining close accuracy in vote share estimates, with only limited deviations in specific cases.
