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'Deliciously bonkers' or 'Too grim to be fun'? New Netflix show His & Hers divides critics — but they all love its wild ending
- On January 8, Netflix released His & Hers, a six-part series starring Tessa Thompson and Jon Bernthal as suspects in a Dahlonega, Georgia murder.
- Following a year-long absence after Charlotte's death, Anna returns to reporting, prompted by a billboard of Lexy Jones, seeking to reclaim her desk through the Dahlonega murder case.
- At the crime scene, Rachel is found brutally murdered with a staged message as heavy rain erases evidence, and soon two more victims, Zoe and Helen, are discovered with friendship bracelets tied around their tongues.
- Early reviews note that critics are divided over execution, but agree the series finale contains a hugely unexpected twist making Netflix's January 8 release a discussion starter.
- At the same time, some reviewers note critics fault the show for 'just happens to be' contrivances while praising pacing and cast strengths, suggesting William Oldroyd's His & Hers could still spark debate.
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The IndependentReposted by 
The Independent (US)
The Independent (US)His and Hers: Netflix’s twisty thriller leaves critics annoyed with letdown ending
The six-part limited series is based on Alice Feeney’s bestselling novel of the same name
·London, United Kingdom
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His & Hers ending explained: Who was the real culprit all along?
**Warning: contains spoilers for His & Hers episodes 1-6.**Don't let the name of this new Netflix thriller fool you. His & Hers is anything but romantic, driven by dark desires that result in a dangerous game of cat and mouse between two exes.The former lovers in question are Jon Bernthal's highly strung detective named Jack Harper and Anna, a cutthroat journalist played by Tessa Thompson.Personal trauma ripped their marriage apart a year prior,…
Tessa Thompson and Jon Bernthal are featured in the six-episode drama released this Thursday on the streaming platform.
·Paris, France
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Total News Sources37
Leaning Left14Leaning Right1Center4Last UpdatedBias Distribution74% Left
Bias Distribution
- 74% of the sources lean Left
74% Left
L 74%
C 21%
Factuality
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