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What Is the Ranga-Billa Case? The Chilling Murders that Inspired Ali Fazal and Sonali Bendre's Raakh, Watch Trailer
The Prime Video series centers on kidnappings and murders as police confront ethical dilemmas in a 1970s Delhi crime drama.
- The trailer for Raakh unveiled a chilling mystery set in 1970s Delhi, featuring Ali Fazal and Sonali Bendre as parents reporting their children's kidnapping to police.
- Director Prosit Roy and writers Anusha Nandakumar and Sandeep Saket created the series, incorporating the 1971 song Humko Mann Ki Shakti Dena from Guddi to heighten emotional intensity.
- Ali Fazal plays the introverted investigator Jayprakash, who works alongside senior officer Dibyendu Bhattacharya, with Aamir Bashir and Rakesh Bedi in pivotal roles.
- Amazon Prime Video will premiere the series exclusively on June 12, offering a character-driven narrative exploring the minds of suspects and investigators within a shifting social environment.
- Beyond a standard investigative thriller, the show functions as a character study of a flawed, conflicted cop; Ali Fazal noted the complex script drew him to the project.
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'Raakh' trailer out: Ali Fazal leads dark 1970s Delhi investigation as 'evergreen beauty' Sonali Bendre makes powerful screen return
News News: The makers of 'Raakh' have unveiled the trailer for their upcoming investigative crime drama featuring Ali Fazal, Sonali Bendre and Aamir Bashir in pr.
·India
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Amazon Prime's Raakh: The Next Paatal Lok on OTT?
The team behind one of India’s most acclaimed crime dramas is returning with another gripping investigation-based series. Prosit Roy, who directed the first season of Paatal Lok, is back with Raakh, a crime thriller inspired by the infamous Ranga Billa case that shocked the country in 1978. Raakh is scheduled to premiere on Prime Video […] The post Amazon Prime’s Raakh: The Next Paatal Lok on OTT? appeared first on M9.news.
·India
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Total News Sources15
Leaning Left2Leaning Right2Center1Last UpdatedBias Distribution40% Left, 40% Right
Bias Distribution
- 40% of the sources lean Left, 40% of the sources lean Right
40% Right
L 40%
C 20%
R 40%
Factuality
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