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The Confession Killer
The Confession Killer
2019 | Crime, Documentary
When I began this series, I wasn't really paying attention to it. I looked at the screen at one point and thought to myself, man, that jail looks super familiar, like the jail on Jail Hill in the town I grew up in. I shrugged it off, continued my chores, then saw a shot of the downtown square... I realized it was the town I grew up in, Georgetown, TX. BTW - when you live in a small town in TX, you end up doing some strange stuff, like touring an abandoned jail.

So, after I realized the dude was held in Georgetown, by the Wilco SO (I have very strong, negative feelings about those idiots), I paid attention. Henry Lee Lucas confessed to a crazy amount of crimes, crimes that he couldn't have committed due to timing and location. I still don't agree that he killed Orange Socks (a famous murder in GT). This dude was delusional, and Wilco was completely in the wrong, at one point, they're looking at calendars and offering dates to the other LE agencies calling them. I feel like it's really awful they 'solved' these murders, and ultimately killers are still out there.

I liked the way it was put together, but, like many Netflix shows, required editing to cut out at least the last ep.
  
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.
  
    Monster Trucks Racing

    Monster Trucks Racing

    Games and Stickers

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    Turbo charged Monster Trucks. Gravity-defying stunts & adrenaline pumping physics-based racing...