Including a new song written with a 5-year-old.

JVL
let's talk about Bridgerton tea, my ask is open
todays bird
trying on a metaphor

Discoholic 🪩
styofa doing anything
Not today Justin

#extradirty
Show & Tell
Peter Solarz
Sweet Seals For You, Always
he wasn't even looking at me and he found me
d e v o n
One Nice Bug Per Day
taylor price

JBB: An Artblog!
RMH
almost home

oozey mess

★
seen from United States

seen from United States
seen from United States

seen from United States
seen from United States
seen from Malaysia
seen from Canada
seen from United Kingdom
seen from United States

seen from Morocco

seen from United States
seen from Mexico

seen from Paraguay
seen from Czechia
seen from Brazil

seen from Thailand

seen from United States
seen from China

seen from Singapore
seen from United States
@doubledareyagirl
Including a new song written with a 5-year-old.

Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
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Repetition becomes a way to measure scale in an almost inconceivably vast communications network. // Rather than getting caught up in speed then, what we must analyze, as we try to grasp a present that is always degenerating, are the way in which ephemerality is made to endure.
Wendy Chun, Programmed Visions
You. Everywhere you turn, it’s all about you—and the future. You, the produser. Having turned off the boobtube, or at least added YouTube, you collaborate, you communicate, you link in, you download, and you interact. Together, with known, unknown, or perhaps unknowable others you tweet, you tag, you review, you buy, and you click, building global networks, buliding commmunity, building databases upoon databases of traces. You are the engine behind new technologies, freely producing content, freely building the future, freely exhausting yourself and others. Empowered. In the cloud. Telling Facebook and all your “friends” what’s on our mind. Who needs surveillance when you constantly document your life? But, who or what are you? You are you, and so is everyone else. A shifter, you both addresses you as an individual and reduces you to a you like everyone else. It is also signular and plural, thus able to call you and everyone else at the same time. Hey you. Read this. Tellingly, your homepage is no longer that hokey little thing you created after your first HTML tutorial; it’s a mass-produced template, or even worse, someone elese’s home page—Google’s, Facebook’s , the New York Times’. You. you and everyone; you and no one.
Wendy Hui Kyong Chun, Programmed Visions: Software and Memory (28)
Feminism does not ground me. It is the discipline that comes from spiritual practice that is the foundation of my life.
Instead of “walk a mile in another man’s shoes,” how about “see your face in someone else’s face"?

Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
Meet the Instagram Star Elevating Black Contemporary Art.
If Kesha's lawsuit against Dr. Luke is the first-of-its-kind, precedent-setting decision her lawyer says it will be, all women in the music industry should be paying attention. #drluke #kesha
Deb Verhoeven's fiery address at the opening of the 2015 DH conference.
We do not need a totality in order to work well. The feminist dream of a common language, like all dreams for a perfectly true language, or perfectly faithful naming of experience, is a totalizing and imperialist one. In that sense, dialects too is a dream language, longing to resolve contradiction.
A Cyborg Manifesto, Donna Haraway

Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
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The political struggle is to see from both perspectives at once because each reveals both dominations and possibilities unimaginable from the other vantage point. Single vision produces worse illusions than double vision or many-headed monsters.
A Cyborg Manifesto, Haraway
Loving this Multicritical Heuristic for student practices of (feminist informed) rhetorical analysis. From "Who's Really a Cyberfeminist?" in Webbing Cyberfeminist Practice 📖👍🏻
Getting some fine-tune editing done today. I've taken to keeping a nail file/polish remover/polish close to me as I write so when I need to clear my head or reflect on a particular sentence structure I have something to keep my hands busy (that isn't social media!) #writinglandscapes #kinestheticlearning #grrrly
Harlot is an interactive digital magazine dedicated to exploring rhetoric in everyday life. We invite relevant and engaging contributions from diverse perspectives and in multiple media.
People look at babies and read: pink = girl, blue = boy, other colors and no hairbow? Just ask! Or assume. This game is cultural critique and uncomfortable.

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How I Teach Gerrymandering
by Ben Kraft
One of my favorite Splash classes to teach is “Gerrymandering: Theory and Practice”. By now I’ve taught it in a number of different contexts – to high school students at Splash 2014, MIT prefrosh at Firehose 2015, MIT students at Splash For Us 2015, and Spark parents at the Spark Parents’ Program 2015. I still haven’t fully refined the class to my liking, but by now I have a decent sense of how it tends to go, and how different audiences respond to it, so instead of writing a blog post version of the class, I’m writing a blog post about the class. So, while I’ll explain some things along the way where it’s necessary, I don’t expect you to learn anything about gerrymandering from this post.
Why I Teach Gerrymandering
Of all the topics in political science that are accessible to high school students (which is many of them), why gerrymandering? I really like teaching gerrymandering because by high school (and certainly by college or beyond), it’s something that a lot of people know a little bit about, but which has a lot of interesting complexity and subtlety that most people haven’t thought about. News reports often make it seem like gerrymandering, and redistricting in general, as being a simple matter of politicians being evil to a greater or lesser extent, when it’s actually much more interesting that. Similarly, it’s something that mathematicians and computer scientists often see and think is trivial – and there are actually a lot of interesting problems in gerrymandering to which math and CS can be applied that definitely aren’t trivial, which I’m always excited to share. And, of course, it has some other convenient properties – it can be made quite hands-on, and it’s something I know a decent bit about (mostly from various political science classes).
And so, while I obviously want students to come out of the class with a basic understanding of the problems of gerrymandering, I also want them to go beyond that. I want them to end up with a deeper feel for the complexity of the issue, for the philosophical questions about the nature of democracy that underlie redistricting, and for how the various goals of the process can conflict. And, of course, I hope students leave the course with some knowledge they can put to use in making sense of current events – the Shelby County and Arizona Independent Redistricting Commission cases, for example.
The Class
It’s easy to get into the weeds of complexity really quickly, so I like to start off by giving students a blank slate.
Splooshland is open season, and the students get to draw five districts however they please. Then I ask several of them to share what they drew, and, more importantly, why. This is one of the places where different classes have taken things in really different directions. MIT students, of course, were unhappy with the lack of a specified goal and constraints, and often drew fairly arbitrary districts, trying to do things like splitting population equally. Splash students, on the other hand, often didn’t think about such practical constraints, and instead thought about what they wanted the districts to be – some had some urban and some rural districts, while others had all of their districts be a cross-section of the overall population. Parents immediately started asking whether they could just have at-large elections, and why we shouldn’t just have computers draw the districts in the first place.
At this point I have the class vote on the map they like the most, and then critique it, which usually gets an interesting list of potential criteria for districts on the board. Then we move on to more constrained problems – namely, I inform them that they’re 50 years too late to have districts with widely varying populations and give them a new map, where each rectangle drawn always has 10 people in it to ease counting.
We draw 5 equipopulous districts on this in much the same way, then I show them my map.
This is clearly silly – so I show why I did it this way: I color dots based on their party affiliation.
In general, most of the class has heard of gerrymandering before, so I explain things fairly quickly, and move on to having them draw 6 gerrymandered districts on this map.
Then, with some practice under our belts, we move on to the full-size map.
Usually students manage to come up with something less ridiculous than my map, but it’s still tricky. In any case, this is all just the base problem – I want to get into the subtlety of the thing. There are lots of potential issues to consider, and not much time, so I usually just pick a couple. First of all, we can consider incumbency – while the map we drew may have looked good to start with, the three incumbents (marked with stars) aren’t going to be so happy about it.
So now students get to draw a set of districts that both advantages their party, and protects their party’s incumbents. Similarly, we can consider race – it turns out the map we drew before did a great job of splitting the minority vote (dots with green outlines), and they’re not happy about that.
And in this case it requires significant contortion to draw a majority-minority district on this map, and especially so if you want to give the blue party a majority.
This Is Real
At this point we move out of idealized Splashland and back into the real world. We start by adding to our list of things to consider when drawing districts. I hand out some real maps that illustrate some of the examples we talked about. Racial gerrymandering and the Voting Rights Act are a great example – it’s something that we worked with above, that has complex and nonobvious effects, and is in the news regularly, with Shelby County and two Alabama cases in the Supreme Court. At any given time there are some good examples from the recent news that we can talk about, and students can see how they directly fit into the maps we drew.
We talk about various methods of districting (and about the recent Supreme Court case about Arizona’s commission), and about options that avoid the districting game entirely – at-large districts, or mixed-member proportional representation – and the problems they solve and create. Sometimes I tie in the work I did for 6.S897, or real papers in political science (Chen and Rodden is a great one), to give them a sense for how one could go even deeper into the issue.
And that’s it! There are still a lot of things I want to improve about this class (and please suggest more in the comments section), but I’ve liked how it’s run so far. I’ve had fun teaching it, and I think students end up with at least some notion that gerrymandering, and redistricting more generally, is about more than just politicians being good or evil in an obvious way.
Margaret Hamilton was just supposed to be supporting her husband’s career. Instead, she invented the modern concept of software and landed men on the moon.