Principal arrested for deleting Ganesh Chaturthi post from Kota school's WhatsApp group
Kota (Rajasthan) Sep 8: A government school principal was arrested here after he allegedly deleted Ganesh Chaturthi greetings posted on the school WhatsApp group, which triggered protests by people of the village, officials said on Sunday.
Villagers held demonstrations outside the school, demanding the removal of Shafi Mohammed Ansari, principal of government senior higher secondary school at Laturi village, they said.
The principal allegedly removed posts that had a picture of Lord Ganesh from a school WhatsApp group. Parents and teachers are part of the group, DSP Narendra Nadar said.
SHO at Bapawar Police Station Uttam Singh said Ansari was arrested for disturbing communal harmony. He was granted bail and released later in the evening, the officer said.
The situation in the village remained normal and peaceful, the SHO said.
According to police, a man posted a Ganesh Chaturthi greetings message on the WhatsApp group, which the principal deleted. The group is named School Management Development Committee or SMDC, the SHO said.
Around two hours later, a school teacher also uploaded a Ganesh Chaturthi greeting in the same group and Ansari allegedly deleted the post again, police said.
After this, some villagers gathered outside the school, held demonstrations against the principal and demanded his removal.
Police rushed to the spot on getting information about the incident, the SHO said.
Police arrested the school principal for alleged breach of communal harmony and initiated proceedings under Section 127 of Bharatiya Nagarik Suraksha Sanhita (BNSS) against him, he said.
He added that Ansari was granted bail and later released on the same day.
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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.
