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Neon's Nerd Nexus (360 KP) created a post

Apr 6, 2020  
Thank you for all staying with me during this difficult time. I've been trying hard to knuckle down and watch a lot of movies at home at the moment but I am finding it really hard to focus inbetween still working and with the pressures of the current situation constantly on my mind. I am also missing @fandomfanatichere a lot too but we have since found other ways to spend time together ie in the beautiful stars of @nomansskyoffical. ------------------------------------
I would like to say things will return to normal soon but as I can't my simple advice to anyone struggling at the moment is to just try and distract yourself in any way you can. Be it by watching films, playing games, turning your music up loud and singing, reading, cutting your own hair, eating nice food, drawing, crafting, buying that geeky statue you've always wanted or by just enjoying the peaceful bliss of doing nothing for a few weeks its all about looking after you and your mental state first. --------------------------------------
So please please please stay at home, keep yourselves safe and just think after all this blows over how much stronger the bond between loved ones will be, how much you will of learnt about yourself and how amazing its going to feel seeing all those people you have missed again. Love you all. Neon Nans đź’ś
     
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.