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Showing posts from February, 2018

Cloverfield Paradox

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Netflix pulled a Beyonce last night and without any promotions, prior marketing or fanfare dropped a movie. The latest installment of JJ Abram's Cloverfield franchise, Cloverfield Paradox. This latest science fiction foray into JJ Abrams' twisted world stars Gugu Mbatha-Raw as Ava Hamilton, David Oyelowo as Kiel, Daniel Brühl as Schmidt, John Ortiz as Monk Acosta, Chris O'Dowd as Mundy, Zhang Ziyi as Tam, and Elizabeth Debicki as Mina Jensen. Do you have to watch the previous two installments to understand Cloverfield Paradox? No, not really. However, I definitely recommend you watch the first one. The second one was really a look into human behavior and resilience but it is not at all necessary to watch. Instead focus on watching Cloverfield ; it will be more impactful to know what was going happening on the planet while the space crew was dealing with their issues. It definitely adds more to the intrigue, mystery, and suspense of it all. Things I loved: Just

Jumanji with Kevin Hart and Dwayne Johnson

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Jumanji starring  Dwayne Johnson, Kevin Hart and Jack Black has been out for over a month and has so far grossed over 750 million dollars.  I enjoyed Kevin Hart and Jack Black the most. Dwayne Johnson was good in his character but not really a stand out. I enjoyed the story line and that the characters had some depth to them which without it would have made the movie less interesting. Spencer, played by the Rock was the best written character. He showed the most growth while not being obnoxious and staying true to the essence of himself. Fortunately, I do not have anything bad to say about the film except that my niece  was not a fan because she found it to be a little too hokey.  The film seemed to have just the right amount of comic relief and intent mixed with just the right amount of action and explanation that did not leave me wanting to make a bathroom run. I liked how they tied it into the original Jumanji as well. This was just a fun time. The action sequences where well