Bengaluru: In a duping incident reported from Anekal taluk, people lost lakhs of rupees to a woman who used the names of Finance Minister of India Nirmala Sitharaman and the Reserve Bank of India (RBI) while offering them high amounts of subsidy along with the money she lent them.
The fraudster, identified as Pavithra, a native of Hosur in Tamil Nadu, had opened an agency named 'Blue Wings' and claimed that the RBI had granted her agency up to Rs 17 crore, to gain the trust of the people she called. She later started presenting fake documents with the signature of the Finance Minister as proof in favour of the agency. Next, she started sending the people video clips of the bundles of the money 'Blue Wings' was working with.
Gaining the confidence of the people she called with such tricks, Pavithra then started assuring them that she would lend them money without much fuss or lengthy procedures. She offered Rs 5 lakh as subsidy for every Rs 10-lakh loan she gave, but added that the clients would have to deposit money with the agency before getting the loan amount.
The clients, believing Pavithra's words to be true, deposited very high amounts of their money with the 'Blue Wings' agency. When they got no loan from the other party even after waiting for a couple of months, they realized that they had been duped by Pavithra. People from various areas, like Chandapura, Attibele, Hosur and Dharmapuri, reportedly lost a lot of their money in the incident.
A case was registered against Pavithra and her accomplices by the Attibele Police based on a complaint filed by Rathnamma, a resident of Mayasandra. The officers said that case has also been booked against Praveen, Yallappa, Sheela, Rukmini, Radha, Mamatha, Nehruji, Sharat Kumar, Satish, Manjula, Martin, Hemalatha, Shalini and the other people involved in the duping act, and that investigation is underway.
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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.
