Nitish Kumar – I’d Rather Die Than Tie Up With BJP Again
Nitish Kumar today said he “would rather die” than return to an alliance with the BJP and accused the ruling party of suing Mr Tejashwi Yadav’s deputy “intentionally, without basis”.
Minister Bihar is responding to BJP leaders accusing him of “abusing the trust of Prime Minister Narendra Modi” while dismissing speculation of a reunion, once again.
“The question is not asked. I would rather die than be bound to them,” he told reporters, Tejashwi Yadav standing next to him.
Minister and leader Janata Dal United said the decision to restore the alliance with the BJP, following corruption cases against Tejashwi Yadav and his father, Lalu Yadav, was a “mistake”.
“Listen carefully. They (BJP) put in a lot of effort. They sued Tejashwi and his father to get me on board. Now, again, they’re trying to go after them. These people are still there. keep doing things like that,” Nitish Kumar said.
The minister mocked the BJP’s claim that they would win 36 of the 40 seats of Lok Sabha in Bihar in next year’s national elections. He sought to “remind” the BJP that when they were allies, they used to receive the votes of all his supporters, including Muslims, who were “wary” of the system. Hindutva thought of the BJP.
Mr Kumar’s comments came after BJP leaders said there was “no doubt” a return to cooperation with an “unpopular” Minister.
“We have sought to quell rumors among our party cadres about such a reorganization. Of course, the CM has a tendency to swing like a pendulum. But we will not let him down. trick again,” said BJP’s Bihar head, Sanjay Jaiswal.
“Nitish Kumar has become extremely unpopular. It is his unpopularity that has given his JDU a poor record in the 2020 congressional polls as we do much better. Prime Minister Prime Minister Narendra Modi showed nobility in deciding to fulfill his promise before the election and Nitish Kumar, a frequent traitor, abused the Prime Minister’s trust,” he said.
(Except for the title, this story has not been edited by NDTV staff and is published from an aggregated feed.)