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Hit & Run (2012)
Hit & Run (2012)
2012 | Action, Comedy, Romance
9
7.0 (4 Ratings)
Movie Rating
it's almost like dax and kristin love each other or something
I really enjoyed this film. With this whole pandemic thing going on, I've been listening to Dax Shepard's podcast, Armchair Expert. He has talked about this film on several occasions and I finally decided to watch it. I am so glad I did.

Not only is the plotline great, the cast is phenomenal, the chemistry is there, but it moves, it takes you with them on the journey and you are never bored. The soundtrack for this film was perfect. It is everything you want from a movie like this and you can feel the love that Dax and Kristin have for each other through the screen. This film was released pre-marriage but when they were dating and I think it just shows. It doesn't feel forced, it doesn't feel fake or uncomfortable, it feels genuine and pure. Especially when you know them as a couple and listened to them talk in interviews and things, I think much more of their actual selves radiate through this film than most would think.

Bradley Cooper, Joy Bryant, and Kristin Chenoweth were the cherries on top of this film, but I think the real great character through this is Tom Arnold's Randy. He was just the true underdog of the film.

I would 1000% recommend this film. Watch!
  
Invisible Women: Data Bias in a World Designed for Men
Invisible Women: Data Bias in a World Designed for Men
Caroline Criado Perez | 2019 | Science & Mathematics
10
10.0 (1 Ratings)
Book Rating
I’ve read a book similar to this before so was interested when I saw it on the library shelf. This is about the gender data gap. I know what some of you are thinking “oh look a book that’s going to slam men”. But this isn’t about that. This is about missing data, not because it’s been done on purpose but because some of the tests have never thought about. Some of these absolutely shocked me though. For example, did you know the female crash test dummy hasn’t been put in the driver’s seat? How mad is that?!?!
At some points I did find this book a little one sided. I mean it’s hard when you’re trying to delve into a data gap bit one example that stood out to me was “unpaid work”. There was a big continuing theme about the unpaid work women do that isn’t thought of to include in data (child care, housework, elderly care) and yes men do these too (that was pointed out), but what about the unpaid work men do that I bet isn’t thought of to be included in data? Like DIY? I did enjoy listening to this (borrowed on #borrowbox ) but I found it did become tedious in places. Would recommend for some who enjoys data…..like myself.
  
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