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127 Hours (2010)
127 Hours (2010)
2010 | Drama
6
8.3 (8 Ratings)
Movie Rating
Probably the best that it could have been...
Contains spoilers, click to show
Danny Boyle is a director with an eye for the modern. visceral styles, sharp editing and the belief that the combination of both will draw the audience into the action, emotion and mood of the situation at hand. There's no doubt that the stunning true story of adventurer Aron Ralston's accident resulting in his right arm becoming trapped under a rock in the middle of nowhere, required a special director and a style as described above.

Did he pull it off? It's a though sell, 90 minutes of a man and rock but I think it was done about as well as it could have been. The story is interesting and told with a sense of humour and a philosophical attitude appropriate for the subject matter, but it all boils down to the moment when he performs his DIY surgery, a plot point that may well sell the film to most people, as it sold news papers back in 2003.

Overall, well told, very well acted by James Franco as Ralston and along with Boyle's signature direction and jukebox soundtrack, whilst not blowing my skirt up, it made my wife cry, myself cringe and was as well conveyed as this story of a man trapped quite literally between as rock and hard place, ever could have been.
  
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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