CBI conducts surprise checks at FCI godowns in Punjab, Haryana
New Delhi: The CBI conducted surprise checks at 20 Food Corporation of India (FCI) godowns in Punjab and Haryana after getting a number of complaints regarding alleged irregularities, officials said on Friday.
The move is part of preventive vigilance to check corruption at locations where public dealing takes place, they added. The action started jointly with vigilance teams of the FCI at about 20 locations in the two states, the officials said.
The state-agency godowns leased to the FCI in eight of the 13 FCI districts have been covered during the joint operation, government sources said.
The exercise began late on Thursday evening and is continuing, they added.
The Central Bureau of Investigation (CBI) sleuths are checking the quality and quantity of the central-pool foodgrain stocks stored in these godowns and samples of wheat and rice pertaining to 2019-20 and 2020-21 have been collected from these places, the sources said.
The agency is carrying out the operation at the FCI godowns in Dhuri, Rampura, Ferozepur, Budhlada and Tapa, besides the Central Warehousing Corporation godown at Sri Muktsar Sahib.
Five godowns of the Punjab State Warehousing Corporation at Khanna (Ludhiana), four at Jagraon (Ludhiana), one at Mansa (Mansa) and one at Sultanpur Lodhi (Kapurthala) have also been covered during the operation, the sources said.
Agency officials have reached the PEG godowns managed by state agency Pungrain at Raman (Bathinda), Fazilka (Fazilka), Ferozepur, Ajitwal (Moga), Lehragaga (Sangrur) and Patti (Tartaran), they said.
In addition, around 10 godowns at Shahbad and Sirsa in Haryana will also be covered during the surprise-check operation, the sources said.
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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.
