Siddaramaiah, senior congress leaders to seek people's inputs for manifesto

Bengaluru, Apr 18: Amid fears that people from the unorganised sector are running out of cash to meet their daily expenses, the Karnataka government said there was no data available for such labourers, who can be provided financial assistance under the direct benefit transfer (DBT) scheme.

"The government does not have data of people in the unorganised sector such as drivers, farmers, domestic help and others. If we have to deposit directly into their account, we need data..," State Labour minister A Shivaram Hebbar told reporters.

The minister said a situation borne out of the COVID-19, where the entire nation has been lockdown was never anticipated.

To him, the pandemic has given an opportunity to gather information about the unorganised sector.

"This COVID-19 has taught the department and the workers a lesson that we should be prepared for a situation like this. We have learnt that all the information about labourers should be available with the labour department," Hebbar conceded.

The minister opined that the department should have had the list during the good times but nobody bothered to have it.

"During the good times nobody bothered about it -- neither they (beneficiaries) asked for it, nor we thought of it.," Hebbar said.

Now that the pandemic has struck, the government is focusing only on not letting anyone starve to death.

A three-level preparation has been made -- at the village level, Taluk level and the city level, the minister said.

Village anganwadis have been stuffed with food items to be cooked for the needy, whereas in Taluk level, government hostels have been turned into shelters for the labourers, he said, noting that lakhs of philanthropists in cities have come forward to feed the people from unorganised sector.

"The basic objective of our government is that no one should starve to death. The issue of organised or unorganised sector comes next," he explained.

On the fear of large-scale retrenchment, the minister said notices have been served on all the industries that no one should be expelled from the job.

However, Hebbar underlined that the industrialists today are as much in distress as the workers and his department was taking into account everyone's concern.

A decision will be taken in this connection by the government in the next two days, to provide assistance to small enterprises to keep them afloat.

Davangere, Jul 19: A 9-year-old sniffer dog ran 12 km in the night to trace a murder accused and helped the police arrest him in Karnataka's Davangere rural area, an official said on Sunday.

"Doberman Pincher Tunga ran 12 km non-stop from the crime spot at Basavapattana in the city to a house at Kashipur in the rural where murder accused Chethan, 25, was hiding and helped us arrest him on July 17," Davangere Police Superintendent Hanumantha Rai said on phone.

Davangere is 260 km northwest of Bengaluru.

"Though Chethan allegedly shot dead his friend Chandra Nayak with a stolen service revolver on July 10 over sharing the booty (gold ornaments) of the theft they had committed recently with two others. We took female dog Tunga to the crime spot on July 16. She led the sleuths to the area where Chethan was hiding with two accomplices," Rai recalled.

While trained sniffer dogs normally run 4-5 km from a crime spot, Tunga could track the accused 12 km away.

When Tunga's handler (Head Constable Prakash) took her to the crime scene at 9.30 pm, she sniffed around and ran 12 km non-stop to Kashipur. She halted at a wine shop and went to a food joint later. Then she stopped at a house nearby at 12.30 am.

The prime accused (Chethan) was present in the house of his relative. He was arrested after he confessed to the theft and the murder.

The police are on the hunt to trace Chethan's two accomplices who fled from the house they were hiding in.

Karnataka Additional Director General of Police (law and order) Amar Kumar Pandey felicitated Tunga on July 17 at a function here for cracking the murder case with its exceptional sniffing traits.