Mangaluru: A police constable attached to the Vitla Police Station has been arrested for allegedly forging documents and manipulating passport verification records to obtain a clearance certificate from the authorities.

Police said on Tuesday that a person identified as Shakti Das, who claimed to be residing within the jurisdiction of the Vitla Police Station, first applied for a passport in February 2025.

During police verification, it was found that the address mentioned in the application did not match official records, following which the application was not recommended.

In June 2025, Shakti Das reportedly submitted a second passport application. Police alleged that Pradeep, a staff member at the Vitla Police Station, processed the reapplication without informing the concerned beat constable, Sabu Mirji, who was responsible for verifying the applicant’s address.

Pradeep allegedly prepared a verification report in the name of the beat constable, forged his signature, secured approval from senior officers, and forwarded the report. He is also accused of destroying verification-related documents to conceal the irregularities.

As per the report, the matter came to light on December 19 during a scrutiny of records. Police said the acts amounted to criminal breach of trust, as a crucial identity document issued by the Central government was fraudulently obtained.

Police further said that Shakti Das claims to hail from West Bengal, and his address is currently being verified.

Based on the findings, Vitla Police have registered a case against Pradeep and passport holder Shakti Das under Sections 336, 337, 316(5), and 238 of the Bharatiya Nyaya Sanhita (BNS), 2023.

Pradeep has been arrested and produced before a court, which remanded him to judicial custody. Further investigation is underway, police said.

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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.