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Kolkatta, Mar 19: A local leader of BJP has been arrested for organising a cow urine consumption event in Kolkata, claiming that it will protect people from coronavirus or cure those already infected, leading to a civic volunteer falling ill after drinking it.

The police said that 40-year-old Narayan Chatterjee, who had on Monday organised a cow worship programme at a cowshed and distributed cow urine, was arrested following a complaint filed by the victim.

He had vouched for its "miraculous" properties while offering gaumutra to others.

A civic volunteer, who was on duty near the cow shed also consumed gaumutra and fell sick on Tuesday, following which he lodged a complaint with the police against Chatterjee.

Reacting to the arrest, the state BJP leadership criticised the state government.

"Chatterjee had distributed cow urine, but he didn't fool people in consuming it. When he distributed it he clearly said it was cow urine, he didn't force anyone to drink it. It has not been proved whether it is harmful or not.

"So how can just police arrest him without any reason. This is completely undemocratic," state BJP General Secretary Sayantan Basu said.

West Bengal BJP chief Dilip Ghosh has said there is no harm in drinking cow urine and he has no qualms in admitting he consumes it.

His party colleague and MP Locket Chatterjee, however, differed, terming it an "unscientific belief" that should be shunned.

The cow urine distribution as a cure for coronavirus had drawn sharp criticism from the doctors.

Newsroom, Jan 29: Karnataka’s capital has earned the unwelcome distinction of global capital of traffic congestion. According to a report by TomTom, the Netherlands-based global provider of navigation, traffic and map products, Bengaluru beat 415 other cities across 57 countries to earn the title of world's most traffic congested city in 2019.

“Bengaluru takes the top spot this year with drivers in the southern Indian city expecting to spend an average of 71% extra travel time stuck in traffic," TomTom said in the ninth edition of its annual Traffic Index.

Three other Indian cities, namely, Mumbai, Pune and New Delhi are also ranked in the 2019 edition of TomTom’s Traffic Index of the world’s most traffic-congested cities. 

The report released on Tuesday ranks cities by the average time added to a trip. TomTom index also includes details on when congestion is heaviest and lightest, how highways compare with surface streets, and how much time drivers wasted waiting for other drivers to get out of their way.

Following closely on the heels of Bengaluru is Manila, Philippines, with the similar 71% traffic congestion. Among the top five worst traffic affected cities are Mumbai and Pune from India at the fourth and fifth place respectively, while Bogota, Colombia is on third spot.

Delhi, the national capital of India is on the 8th spot, while Moscow (Russia), Lima (Peru), Istanbul (Turkey) and Jakarta (Indonesia) are on 6th, 7th, 9th and 10th spot respectively.

Mumbai recorded a 65% traffic congestion with 9th September, 2019 being the worst day. On an average, a Mumbaikar lost 209 hours in traffic congestion. Pune has 59% traffic congestion with 2nd August, 2019 being the worst day. 193 hours are lost due to congestion. Delhi, on the other hand, has 56% traffic congestion. 23rd October, 2019 was the worst day, while 190 hours are lost in traffic congestion.

Interestingly, among all the four Indian cities, Delhi has the most number of cars. Previous studies have concluded that Delhi has the best road conditions among the Metro cities of India.

If you are wondering what exactly the percentages mean, a 53% congestion level in Bangkok, for example, means that a trip will take 53% more time than it would during Bangkok’s baseline uncongested conditions.

TomTom calculates the baseline per city by analyzing free-flow travel times of all vehicles on the entire road network – recorded 24/7, 365 days a year. The report by Dutch navigation and mapping company ranks cities by the average time added to a trip. It also includes details on when congestion is heaviest and lightest, and how much time drivers wasted waiting for other drivers to get out of their way.