#01/08/2021

[boreal-sea]

Look.

I have made you a chart. A very simple chart.

People say "You have to draw the line somewhere, and Biden has crossed it-" and my response is "Trump has crossed way more lines than Biden".

These categories are based off of actual policy enacted by both of these men while they were in office.

If the ONLY LINE YOU CARE ABOUT is line 12, you have an incredible amount of privilege, AND YOU DO NOT CARE ABOUT PALESTINIANS. You obviously have nothing to fear from a Trump presidency, and you do not give a fuck if a ceasefire actually occurs. You are obviously fine if your queer, disabled, and marginalized loved ones are hurt. You clearly don't care about the status of American democracy, which Trump has openly stated he plans to destroy on day 1 he is in office.

EDIT:

Ok fine, I spent 3 hours compiling sources for all of these, you can find that below the cut.

I'll give at least one link per subject area. There are of course many more sources to be read on these subject areas and no post could possibly give someone a full education on these subjects.

Biden and trans rights: https://www.hrc.org/resources/president-bidens-pro-lgbtq-timeline

Trump and trans rights: https://www.aclu.org/news/lgbtq-rights/trump-on-lgbtq-rights-rolling-back-protections-and-criminalizing-gender-nonconformity

The two sources above show how Biden has done a lot of work to promote trans rights, and how Trump did a lot of work to hurt trans rights.

Biden on abortion access: https://www.cnn.com/2022/07/08/politics/what-is-in-biden-abortion-executive-order/index.html

Trump on abortion access: https://apnews.com/article/abortion-trump-republican-presidential-election-2024-585faf025a1416d13d2fbc23da8d8637

Biden openly supports access to abortion and has taken steps to protect those rights at a federal level even after Roe v Wade was overturned. Trump, on the other hand, was the man who appointed the judges who helped overturn Roe v Wade and he openly brags about how proud he is of that decision. He also states that he believes individual states should have the final say in whether or not abortion is legal, and that he trusts them to "do the right thing", meaning he supports stronger abortion bans.

Biden on environmental reform: https://www.whitehouse.gov/briefing-room/statements-releases/2021/10/07/fact-sheet-president-biden-restores-protections-for-three-national-monuments-and-renews-american-leadership-to-steward-lands-waters-and-cultural-resources/

Trump on environmental reform: https://www.nytimes.com/interactive/2020/climate/trump-environment-rollbacks-list.html

Biden has made major steps forward for environmental reform. He has restored protections that Trump rolled back. He has enacted many executive orders and more to promote environmental protections, including rejoining the Paris Accords, which Trump withdrew the USA from. Trump is also well known for spreading conspiracy theories and lies about global climate change, calling it a "Chinese hoax".

Biden on healthcare and prescription reform: https://www.hhs.gov/about/news/2023/06/09/biden-administration-announces-savings-43-prescription-drugs-part-cost-saving-measures-president-bidens-inflation-reduction-act.html

Trump on healthcare reform: https://www.cnn.com/2024/01/07/politics/obamacare-health-insurance-ending-trump/index.html

I'm rolling healthcare and prescriptions and vaccines and public health all into one category here since they are related. Biden has lowered drug costs, expanded access to medicaid, and ACA enrollment has risen during his presidency. He has also made it so medical debt no longer applies to a person's credit score. He signed many executive orders during his first few weeks in office in order to get a handle on Trump's grievous mishandling of the COVID pandemic. Trump also wants to end the ACA. Trump is well known for refusing to wear a mask during the pandemic, encouraging the use of hydroxylchloroquine to "treat" COVID, and being openly anti-vaxx.

Biden on student loan forgiveness: https://www.ed.gov/news/press-releases/biden-harris-administration-announces-additional-77-billion-approved-student-debt-relief-160000-borrowers

Trump on student loan forgiveness: https://www.forbes.com/sites/adamminsky/2024/06/20/trump-knocks-bidens-vile-student-loan-forgiveness-plans-suggests-reversal/

Trump wants to reverse the student loan forgiveness plans Biden has enacted. Biden has already forgiven billions of dollars in loans and continues to work towards forgiving more.

Infrastructure funding:

I'm putting these links next together because they are all about infrastructure.

In general, Trump's "achievements" for infrastructure were to destroy environmental protections to speed up projects. Many of his plans were ineffective due to the fact that he did not clearly outline where the money was going to come from, and he was unwilling to raise taxes to pay for the projects. He was unable (and unwilling) to pass a bipartisan infrastructure bill during his 4 years in office. He did sign a few disaster relief bills. He did not enthusiastically promote renewable energy infrastructure. He created "Infrastructure Weeks" that the federal government then failed to fund. Trump did not do nothing for infrastructure, but his no-tax stance and his dislike for renewable energy means the contributions he made to American infrastructure were not as much as he claimed they were, nor as much as they could have been. Basically, he made a lot of promises, and delivered on very few of them. He is not "against" infrastructure, but he's certainly against funding it.

Biden was able to pass that bipartisan bill after taking office. The Bipartisan Infrastructure Plan that Trump tried to prevent from passing during Biden's term contains concrete funding sources and step by step plans to rebuild America's infrastructure. If you want to read the plan, you can find it here: https://www.whitehouse.gov/build/guidebook/. Biden has done far more for American infrastructure than Trump did, most notably by actually getting the bipartisan bill through congress.

Biden on Racial Equity: https://www.npr.org/sections/president-biden-takes-office/2021/01/26/960725707/biden-aims-to-advance-racial-equity-with-executive-actions

Trump on Racial Equity: https://www.axios.com/2024/04/01/trump-reverse-racism-civil-rights https://www.bbc.com/news/av/world-us-canada-37230916

Trump's racist policies are loud and clear for everyone to hear. We all heard him call Mexicans "Drug dealers, criminals, rapists". We all watched as he enacted travel bans on people from majority-Muslim nations. Biden, on the other hand, has done quite a lot during his term to attempt to reconcile racism in this country, including reversing Trump's "Muslim ban" the first day he was in office.

Biden on DEI: https://www.whitehouse.gov/briefing-room/presidential-actions/2021/06/25/executive-order-on-diversity-equity-inclusion-and-accessibility-in-the-federal-workforce/

Trump on DEI: https://www.msn.com/en-us/news/politics/trump-tried-to-crush-the-dei-revolution-heres-how-he-might-finish-the-job/ar-BB1jg3gz

Biden supports DEI and has signed executive orders and passed laws that support DEI on the federal level. Trump absolutely hates DEI and wants to eradicate it.

Biden on criminal justice reform: https://time.com/6155084/biden-criminal-justice-reform/

Trump on criminal justice reform: https://www.vox.com/2020-presidential-election/21418911/donald-trump-crime-criminal-justice-policy-record https://www.theatlantic.com/politics/archive/2024/05/trumps-extreme-plans-crime/678502/

From pardons for non-violent marijuana convictions to reducing the federal government's reliance on private prisons, Biden has done a lot in four years to reform our criminal justice system on the federal level. Meanwhile, Trump has described himself as "tough on crime". He advocates for more policing, including "stop and frisk" activities. Ironically it's actually quite difficult to find sources about what Trump thinks about crime, because almost all of the search results are about his own crimes.

Biden on military support for Israel: https://www.nbcnews.com/politics/national-security/biden-obama-divide-closely-support-israel-rcna127107

Trump on military support for Israel: https://www.vox.com/politics/353037/trump-gaza-israel-protests-biden-election-2024

Biden supports Israel financially and militarily and promotes holding Israel close. So did Trump. Trump was also very pro-Israel during his time in office and even moved the embassy to Jerusalem and declared Jerusalem the capitol of Israel, a move that inflamed attitudes in the region.

Biden on a ceasefire: https://www.usatoday.com/story/news/world/2024/06/05/gaza-israel-hamas-cease-fire-plan-biden/73967659007/

Trump on a ceasefire: https://www.nbcnews.com/politics/donald-trump/trump-israel-gaza-finish-problem-rcna141905

Trump has tried to be quiet on the issue but recently said he wants Israel to "finish the problem". He of course claims he could have prevented the whole problem. Trump also openly stated after Oct 7th that he would bar immigrants who support Hamas from the country and send in officers to American protests to arrest anyone supporting Hamas.

Biden meanwhile has been quietly urging Netanyahu to accept a ceasefire deal for months, including the most recent announcement earlier in June, though it seems as though that deal has finally fallen through as well.

[jennyfromthebes]

The Jordan Lake Sessions are obviously a good starting point for live goats, but there's also over 450 full concert recordings dating back to 1992, painstakingly recorded and uploaded by hundreds of fans, on the Live Music Archive! If you've never listened to a tMG live tape, I can't recommend it enough. You can search for a specific song or just pick a completely random show and listen through it, jump around, listen to as much or as little as you want. In a lot of ways, tMG are a band that really shine live, and I've never been disappointed listening to live tapes!

(Live Music Archive tMG collection / beginner's guide to the LMA)

If you are a fan of the mountain goats and have not listened to any live recordings DO IT. Coming from someone who does not often listen to live vers of songs In Memory of Satan and The Legend of Chavo Guerrero fucked hard live in concert

[aureliebella]

[mostlysignssomeportents]

The CFPB is genuinely making America better, and they're going HARD

On June 20, I'm keynoting the LOCUS AWARDS in OAKLAND.

Let's take a sec here and notice something genuinely great happening in the US government: the Consumer Finance Protection Bureau's stunning, unbroken streak of major, muscular victories over the forces of corporate corruption, with the backing of the Supreme Court (yes, that Supreme Court), and which is only speeding up!

A little background. The CFPB was created in 2010. It was Elizabeth Warren's brainchild, an institution that was supposed to regulate finance from the perspective of the American public, not the American finance sector. Rather than fighting to "stabilize" the financial sector (the mission that led to Obama taking his advisor Timothy Geithner's advice to permit the foreclosure crisis to continue in order to "foam the runways" for the banks), the Bureau would fight to defend us from bankers.

The CFPB got off to a rocky start, with challenges to the unique system of long-term leadership appointments meant to depoliticize the office, as well as the sudden resignation of its inaugural boss, who broke his promise to see his term through in order to launch an unsuccessful bid for political office.

But after the 2020 election, the Bureau came into its own, when Biden poached Rohit Chopra from the FTC and put him in charge. Chopra went on a tear, taking on landlords who violated the covid eviction moratorium:

https://pluralistic.net/2021/04/20/euthanize-rentier-enablers/#cfpb

Then banning payday lenders' scummiest tactics:

https://pluralistic.net/2022/01/29/planned-obsolescence/#academic-fraud

Then striking at one of fintech's most predatory grifts, the "earned wage access" hustle:

https://pluralistic.net/2023/05/01/usury/#tech-exceptionalism

Then closing the loophole that let credit reporting bureaus (like Equifax, who doxed every single American in a spectacular 2019 breach) avoid regulation by creating data brokerage divisions and claiming they weren't part of the regulated activity of credit reporting:

https://pluralistic.net/2023/08/16/the-second-best-time-is-now/#the-point-of-a-system-is-what-it-does

Chopra went on to promise to ban data-brokers altogether:

https://pluralistic.net/2024/04/13/goulash/#material-misstatement

Then he banned comparison shopping sites where you go to find the best bank accounts and credit cards from accepting bribes and putting more expensive options at the top of the list. Instead, he's requiring banks to send the CFPB regular, accurate lists of all their charges, and standing up a federal operated comparison shopping site that gives only accurate and honest rankings. Finally, he's made an interoperability rule requiring banks to let you transfer to another institution with one click, just like you change phone carriers. That means you can search an honest site to find the best deal on your banking, and then, with a single click, transfer your accounts, your account history, your payees, and all your other banking data to that new bank:

https://pluralistic.net/2023/10/21/let-my-dollars-go/#personal-financial-data-rights

Somewhere in there, big business got scared. They cooked up a legal theory declaring the CFPB's funding mechanism to be unconstitutional and got the case fast-tracked to the Supreme Court, in a bid to put Chopra and the CFPB permanently out of business. Instead, the Supremes – these Supremes! – upheld the CFPB's funding mechanism in a 7-2 ruling:

https://www.scotusblog.com/2024/05/supreme-court-lets-cfpb-funding-stand/

That ruling was a starter pistol for Chopra and the Bureau. Maybe it seemed like they were taking big swings before, but it turns out all that was just a warmup. Last week on The American Prospect, Robert Kuttner rounded up all the stuff the Bureau is kicking off:

https://prospect.org/blogs-and-newsletters/tap/2024-06-07-window-on-corporate-deceptions/

First: regulating Buy Now, Pay Later companies (think: Klarna) as credit-card companies, with all the requirements for disclosure and interest rate caps dictated by the Truth In Lending Act:

https://www.skadden.com/insights/publications/2024/06/cfpb-applies-credit-card-rules

Next: creating a registry of habitual corporate criminals. This rogues gallery will make it harder for other agencies – like the DOJ – and state Attorneys General to offer bullshit "delayed prosecution agreements" to companies that compulsively rip us off:

https://www.consumerfinance.gov/about-us/newsroom/cfpb-creates-registry-to-detect-corporate-repeat-offenders/

Then there's the rule against "fine print deception" – which is when the fine print in a contract lies to you about your rights, like when a mortgage lender forces you waive a right you can't actually waive, or car lenders that make you waive your bankruptcy rights, which, again, you can't waive:

https://www.consumerfinance.gov/about-us/newsroom/cfpb-warns-against-deception-in-contract-fine-print/

As Kuttner writes, the common thread running through all these orders is that they ban deceptive practices – they make it illegal for companies to steal from us by lying to us. Especially in these dying days of class action suits – rapidly becoming obsolete thanks to "mandatory arbitration waivers" that make you sign away your right to join a class action – agencies like the CFPB are our only hope of punishing companies that lie to us to steal from us.

There's a lot of bad stuff going on in the world right now, and much of it – including an active genocide – is coming from the Biden White House.

But there are people in the Biden Administration who care about the American people and who are effective and committed fighters who have our back. What's more, they're winning. That doesn't make all the bad news go away, but sometimes it feels good to take a moment and take the W.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/06/10/getting-things-done/#deliverism

[randomnestfamily]

(via Why 21 Days of fasting and praying is Important)

What better way to fight back at the enemy than to start this year with prayer and fasting.

Our cry out to the Lord to preserve us in this fallen world. To protect us in a world of chaos and destruction.

There is no doubt about it, our nation is in trouble, the people of America are in trouble.

But God is still in charge, our God still sits on the throne in heaven.

[toskarinarchive]

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[silvermountaingirl]

Locus Magazine's September update on the Neil Gaiman allegations

"CORRECTIONS (on page 4) In our August 2024 story regarding recent allegations against Neil Gaiman, we erroneously described Tortoise Media (which broke the news) as a tabloid; we apologize for the mischaracterization. Tortoise Media is a British news website founded in 2018

MORE GAIMAN ALLEGATIONS (on pages 72-3) We reported last month on two women who accused author Neil Gaiman of sexual assault. Since then, three more women have come forward with allegations. Two of them spoke on the Tortoise Media podcast Master: The Allegations Against Neil Gaiman. Caroline Wallner lived on Gaiman’s property in Woodstock NY from 2014 to 2021, and says that she felt pressured to have sex with him in order to maintain her living situation; she further alleges that when she stopped responding to requests for explicit photos and videos, Gaiman’s business manager told her she had to move out by December 2021. Wallner says Gaiman paid her $275,000 that month in exchange for signing an NDA that ‘‘disputes and denies that Wallner has sustained any losses, damages, or injuries for which Gaiman is legally responsible.’’ Wallner chose to come forward after hearing the earlier allegations.

The second woman on the podcast, Julia Hobsbawm, says Gaiman made ‘‘an aggressive, unwanted pass’’ at her in 1986, when she was 22 and Gaiman was 25, after which she cut off contact.

Two other women reportedly declined to be interviewed for the podcast but provided messages and ‘‘corroborating evidence’’ pointing to a pattern of behavior on Gaiman’s part. Details are here: www.tortoisemedia.com/2024/08/01/exclusive-two-more-women-accuse-neil-gaiman-of-sexual-assault-and-abuse/

The other accuser, using the name Claire, appeared on a different podcast, Am I Broken: Survivor Stories. She claims that she was a fan of Gaiman and met him at a book event in 2012, subsequently entering into a ten-month in-person and long-distance relationship that allegedly included unwanted interactions such as a kiss, groping, phone sex, and pressure to have sex. She described feeling ‘‘gross’’ but going along with the kiss because ‘‘it was Neil Gaiman.’’ She claims Gaiman said, ‘‘I’m a very wealthy man, and I’m used to getting what I want.’’ She also said Gaiman claimed she initiated the contact, and that he blamed his autism for failing to properly read her body language. The podcast is here: amibroken.buzzsprout.com/763742/15488615-s4-ep2-claire-i-ignored-it-and-i-believed-him-because-he-s-the-storyteller-neil-gaiman.

Gaiman has declined to comment publicly on the allegations."

[thealieninhiding]

The Katie McGrath Archives (WIP)

A repository of my ongoing digital archeology & archival work please contact me if you have anything to contribute and buy me a coffee if you value my content

message me if you want a link to her complete filmography 🤫

Updates

(last updated 2024-07-03)

2024-07-03

Scans:

2014-02-07 London Times - Dracula sets

Audio:

(Un)likeminded 2x02 How to Survive The Apocalypse

2024-05-24

Video:

2017 Katie McGrath interview [CW|KMcGsource]

2017 Supergirl Season 3 Sweet dreams (are made of this) Music Video

2017 CW SDCC Promo Supergirl and Arrow

2019-01-01 The CW Promo Open To All

2021-04-25 Supergirl Season 6 Katie McGrath Lena Luthor

2021-09-15 Supergirl Season 6 Katie McGrath Reflecting on Supergirl

2024-05-22

Audio:

Interview - 2009-07-17 Katie McGrath Mr Media interview

Interview - 2009-10-15 Geek Syndicate Merlin BTS special

Video:

BTS - 2008-10-08 Blue Peter Merlin BTS

Events - 2009 TV Choice Awards Digital Spy interview

Events - Getty Videos of 2009 TV Choice Awards, 2010 Merlin Series 3 launch, 2011 W.E. premiere, 2017 King Arthur Premiere

2024-05-17

Archived interviews

2008-12-07 Tribune Magazine - What Katie Did

2011-10-14 What's on TV - Merlin's Katie McGrath- 'Bad girls have more fun!'

2012-12-03 Fanhattan Blog - Colin Morgan, Katie McGrath and Bradley James on Season 5 and The Series Finale

2018-08-01 The TV Junkies - Supergirl SDCC 2018 Interviews- Lena’s Impractical Lab Outfits, the Return of Reporter Kara and a More Grounded Season 4

Audio

HHush samples

Interview - 2009-2011 Sci-fi Talk rewind merlin the series specials episode 1

Interview - 2011? Merlin S4 Sci-fi talk byte katie mcgrath on morgana

Interview - 2013 BBC Radio 1xtra part 1 & part 2

(Un)likeminded 1x02 While You Were Dreaming

Trees a crowd- Irish folklore segment

Magazine scans

2008-09-20 Radio Times

2009-06-08 TV Week (Aus)

2010-09-05 Sunday Express

2010-09-30 Totally Merlin Magazine

2011-12 Total Film

2012-03-14 Sci-Fi Now

2012-10-06 Radio Times

2013-04-06 Irish independent

2013-09-02 Marie-Claire (UK)

2013-12 Instyle

2013-12 Total Film

Video:

Fans - 2012-04-16 Merlin4 [carlospyrrhus]

Fans - 2017-08-30 Supergirl cast together on set [Joyce Law]

Interview - 2009-09-?? Merlin S2 audio interview with Katie McGrath [BJsRealm] part 1

Interview - 2010-09-06 Merlin Series 3 - BBC Radio 1xtra Interview with Angel Coulby & Katie McGrath [BJsrealm]

Interview - 2011-10-14 Merlin S4 Colin Morgan, Eoin Macken Katie McGrath on The Late Late Show

Interview - 2012-07-15 Colin Morgan and Katie McGrath at SDCC 2012 - innerSPACE [merlinnetwork2]

Interview - 2012-07-18 Katie McGrath Talks Merlin At Comic Con 2012 [ThinkHeroTV]

Interview - 2012-10-25 BBC Radio 1 Breakfast - Colin & Katie part 1 & part 2 [BJsRealm]

Interview - 2012-12-03 Merlin S5 Katie McGrath interview international press day [BJsRealm]

Interview - 2012-12-03 Colin, Bradley, Katie phone interview [BJsRealm]

Interview - 2013-11-09 Katie McGrath on BBC One Saturday Kitchen [BJsRealm]

Interview - 2019-07-22 ENTREVISTA SUPERGIRL Elenco fala sobre a nova temporada [Warner Channel Brasil]

Interview - 2019-07-23 Melissa Benoist Teases Directing An Episode Of 'Supergirl' [ET Canada]

Interview - 2020-02-21 ‘Supergirl’ Celebrates 100th Episode [ET Canada]

Panels - 2011-07-28 Merlin Comic Con 2011 Panel [ThinkHeroTV]

[zakumipink]

Hello!

My main account is Zakumi-Akabane. I lost my old email and I can't use it anymore, so now I'll just post things here. I'll try to keep it organized.

🔸 AO3 - SaboLaw Fanfics 🔸My new Tiktok, Twitter and Wattpad 🔸I like to search and share post: Headcanons, Edits and other things... Law x Sabo (and Others) Figures... 🔸One Piece Games: [Cards] [Thousand Storm] [Dance Battle] [PirateWarriors 03] [PirateWarriors 04] [WorldSeeker] [Odyssey]

Remember that I speak Spanish, but I always try to respond and write in English so that we understand each other ♡

˚𓍢ִ໋🌷͙֒ I love SaboLaw since 2016 ⭑⋆｡

My headcanon is that they were secretly dating since they were young, before Sabo regained his memory and Law became a Warlord. So when Law helps Luffy he does it out of instinct, because he is a "D" but then he finds out that he is his brother-in-law. Now Law takes care of Luffy, because he knows that he is important to his beloved Sabo, and they got married in secret. They even adopted Roule. Anyway, my headcanons are for the games. I'll keep waiting for Law and Sabo to officially meet in the manga.

⭑⋆｡˚𓍢ִ໋🌷͙֒ Roleplayer in:

🔸IMVU 🔸Zepeto

⭑⋆｡˚𓍢ִ໋🌷͙֒ My Games:

🔸The Sims 3

🔸The Sims 4 Chapter: 01 - 02 - 03 - 04 - 05 - 06 - 07 - 08 - 09 - 10 - 11 - 12 - 13 - 14 - 15 - 16 - 17 - 18 - 19 - 20 [Modern AU] [Dance and others]

⭑⋆｡˚𓍢ִ໋🌷͙֒ Others Games:

🔸Animal Crossing Pocket Camp [My Avatar] [Amenities] [Flowers] [Bugs] [Fruits] [Fish] [Shells] [Gyroidites] [Garden Events] [Fishing Tourney] [Scavenger Hunt] [Together! Events] [Clothing Collection] [Others]

Per year: 2017 - 2018 - 2019 - 2020 - 2021 - 2022 - 2023 - 2024

⭑⋆｡˚𓍢ִ໋🌷͙֒

🔸Animal Crossing Wild World [Clothing] [Furniture] [Fossils] [Fruits] [Fish] [Shells] 🔸Animal Crossing New Leaf [Clothing] [Furniture] [Fossils] [Fruits] [Fish] [Shells]

🔸Jump Force [My Avatar] [Missions]

🔸 Happy Pet Story [Townies] [Furniture] [Clothing] [Fruits] [Fish] [Foods]

⭑⋆｡˚𓍢ִ໋🌷͙֒

[Pocket Love] [Food Cats] [BunnyBuns] [Puni Neko] [Kawaii Kitchen] [Alchademy] [Sailor Cats] [Clawberta] [Wholesome Cats] [Donuts] [Monkey Roll] [Happy Hop] [KleptoCats] [KleptoDogs] [KleptoCorns] [Shiba Force] [Bakery Story Yeast Ken] [Mochi Cats Collection]

Thanks for reading!

[jennyfromthebes]

Hey! I wanna talk for a sec about the Live Music Archive. If you're a tMG fan who's on here you probably already at least know about it, but for anyone unfamiliar I want to do a quick post talking about what it is and how you can listen!

The Live Music Archive is a collection hosted by the Internet Archive for audio recordings of concerts. Specifically, the LMA hosts, with permission from the band, user-contributed recordings of concerts. Some fans will go to concerts with recording gear to take a full audio recording of the show and then upload it to the archive under the band's collection. As of writing this post there are almost 450 live tapes uploaded to the tMG LMA collection!

There's a few ways that you can listen to recordings on the Live Music Archive. The webpage works pretty well both on desktop and mobile browsers, and that's what I typically use. You can also listen on web without having to make an account on the Internet Archive, which is convenient for browsing. I also use the webpage to download mp3s of favorite tapes to my phone, so that I can listen to them in my local music player.

However, if you don't mind making a free account and prefer the convenience of something more like Spotify, you can also listen to anything on the LMA via the Taper's Section app for Android or the Live Music Archive app for iOS! (Obligatory disclaimer that I use an Android and can't personally vouch for the iOS app, but afaik they have similar features.) The apps have the same functionality as the webpage in a more streamlined mobile-friendly interface, plus things like notifications when there's a new tape added to a collection you follow and downloading in-app for offline listening. The Android app also has a tab for tapes from today's date, there's often at least one (there are FOUR for today!) and that's a really fun way to find tapes to listen to.

If you're looking at this going, wow, that sounds really cool but there's so many tapes that it's a little overwhelming to get into this, don't worry! I'll leave you with a couple recommendations. As mentioned above, I like to listen to shows from the current date. Another fun way to find shows is looking for a specific song - you can go on the wiki and it'll list every show at which the song has been played live, and then just search until you find one of them that has a tape on the archive. Lastly, a few specific favorite tapes of mine:

- 2014-06-15 has the entirety of Taboo VI: The Homecoming played live + one of my absolute favorite performances of both Woke Up New and The Best Ever Death Metal Band In Denton.

- 2015-06-01 is the only time Straight Six has ever been played live and it's interestingly pretty different from the EP version, plus a phenomenal back to back Spent Gladiator 1 & 2.

- 2021-08-06 was the first show after the band started playing concerts again post 2020, and it has a really incredible energy and a phenomenal setlist.

- 2024-03-01 is from the recent run of solo shows, this one was at Grace Cathedral and the ambience is truly truly incredible, it feels so ethereal.

Please feel free to add any additional notes or some of your own favorite tapes to the post as well! Happy listening!!

[whumpetywhump]

Game Of Outlaws (2021)

Nont Wongdecha

01:

- Grieving, crying, guilt-stricken

- Passes out drunk in the shower, dragged into bed, wakes up with a hangover

05:

- Punched during a fistfight, bruised face

06:

- Face still bruised from last episode

- Shot in the arm, bleeding, dragged to his feet

09:

- Shot in the side, dragged to safety

10:

- Treating his own gunshot wound from last episode, gasping in pain, gags himself while stitching it, trying to hide the injury, bleeding through his shirt

- Punched in the face

- Pistol whipped by his crush

11:

- Drunk, needs support to walk

- Chloroformed, kidnapped, wakes up tied to a chair, beaten up, bloody lip, choked

12:

- Hit with flying shrapnel in an explosion, bleeding from the head, stunned, passes out, dragged to safety, rushed to hospital, recovering in bed with a neck brace, tries and fails to get up

16:

- Face cut and scraped during a gunfight, stabbed in the back with a poisoned knife, bleeding, passes out, hospitalised, cardiac arrest, given CPR, intubated, recovering in bed, wakes up in pain

17:

- Face still scraped from last episode, needs support to walk

- Punched in the face, knocked out, kidnapped, tied up

18:

- Still tied up, face still cut and scraped, soaked in petrol and left to die in a fire, crying, rescued

19:

- Face still cut and scraped

- Shot in the arm, bleeding

Mavin

07:

- Flashback: Bloodied from a beating, held at gunpoint, protected

- Shot in the back

08:

- Still bleeding from last episode, shot in the back again, recovering in hospital

10:

- Punched in the face

12:

- Slapped in the face

14:

- Flashback: Face bruised after a fight, sobbing, comforted

17:

- Punched in the gut

- Emotional breakdown, sobbing, punching himself in the face, comforted

19:

- Shot in the arm and gut, collapses to his knees, shouting in pain

- Shot repeatedly in the chest, falls to his knees, collapses, cradled, dies in his girl’s arms

Ravee Pattarapreecha

05:

- Shot in the shoulder, collapses, bleeding on the ground, passes out

06:

- Punched in the face, nosebleed

07:

- Punched to the ground, beaten up, knocked out, dragged to a car, kidnapped

- Tied up, punched in the face during a hostage video, beaten up in an escape attempt, bruised face, tied up again, held hostage at knifepoint

08:

- Face still bruised from last episode

- Shot in the arm, bleeding, recovering in hospital

10:

- Smacked in the face by his sister

14:

- Stabbed repeatedly in someone else’s dream

17:

- Kidnapped, punched in the face, tied up, held hostage

TW: Contains themes of child abuse, noncon and addiction

[astraofdelos]

My Personal Headcanons for the Batfamily

(All ages are calculated for the last day of 2024. If people want me to add onto this for other Batfamily members or associates, lmk)

Bruce Thomas Wayne: 43, 02/19/1981

— 19 when he went off to the LoA (2000)

— 24 when he became Batman (2005)

— 27 when he took in Dick (2008)

Barbara Joan Gordon: 24, 09/23/2000

— 12 when she became Batgirl (2012)

— 17; paralyzed (2017)

— 18 when she became Oracle (2018)

Richard John “Dick” Grayson-Wayne: 24, 11/11/2000

— 10 when he became Robin I (2010)

— 15 when he became Nightwing (2015)

Cassandra Carolyn “Cass” Cain-Wayne: 22, 01/26/2002

— 18 when she became Batgirl II (2020)

— 19 when she became Black Bat (2021)

— 21 when she became Orphan (2023)

Jason Peter Todd-Wayne: 22, 8/16/2002

— 13 when he became Robin II (2015)

— 15; died (2017)

— 18 when he became Red Hood (2020)

Timothy Jackson “Tim” Drake-Wayne: 19, 07/19/2005

— 13 when he became Robin III (2018)

— 16 when he became Red Robin (2021)

Stephanie Brown: 19, 08/11/2005

— 14 when she became Spoiler (2019)

— 16 when she became Robin IV (2021)

— 16 when she became Batgirl III (2021)

— 18 when she became Spoiler again (2023)

Duke Thomas: 17, 08/13/2007

— 14 when he became Robin (2021)

— 15 when he became Signal (2022)

Damian Thomas al Ghul- Wayne: 12, 08/09/2012

— 10 when he became Robin VI (2022)

[cowgirlcherrie]

CALL ME IF YOU GET LOST[masterlist]

skater! ellie x fem! reader

synopsis: California; while known for its heat, legal marijuana, and hardcore skate culture, is the center of all disasters, especially for a local town skater who falls in love with her ex’s sweetheart roommate. The two teaming up to keep the past in the past and let the skater get the girl of her dreams.

warning: skating references and terminology will be used, lying, shiesty behavior, some parts are in txt and some are in full lengthed chapters, arguing, cursing, drama galoreee, sneaking around, betrayal, fighting, partying, injuries (skate related)

a/n: this is a gift (for 300,400 fllwers) and my first SMAU fic ♡ a TEST to see how I like writing in this format. But heavily inspired by Ang who has a wonderful amount of smau’s on their page @phantombriide ‘crush culture’ being an influence in particular and of course the talented @totheblood who has aamaaazing work on their page as well! ‘the hard way’ so check out their work as well I beg!! This fic short but long will alternate between smau and full length(I’m talking 9k+ words chapters) I really am testing the waters with this so letting me know how you like it or what fits and doesn’t will help me tremendously

Each chapter is paired by a song/ creative piece from Tyler The creator’s discography, his call me if you get lost (2021) album —entire fic based off of skate culture, odd future era

prologue

chapter 01: WUSYANAME

chapter 02: CORSO

chapter 03: LEMONHEAD

chapter 04: RISE!

chapter 05:RUNITUP

chapter 06: SWEET, I THOUGHT YOU WANTED TO DANCE

chapter 07: BOYFRIEND, GIRLFRIEND

chapter 08 (FINAL): SORRY NOT SORRY

taglist

@starologist @destielcore @beforeimdeceased @spacewlf @elliestrwbrry @ellsss @emluvselandabs @mossc0vered @rarestdoll @luvrgalore @zahraaziza @sawaagyapong

© cowgirlcherrie 2023

[sunnebeam]

twin flame bruise.

SERIES.

pairing: jeon jeongguk x reader, jeon jungkook x reader (yes they're different people)

plot: the jeon twins have become nothing more than two strikingly similar looking guys who share a mere home address and a last name. but in their senior year of college, the estranged twins may have found one more thing they share in common – you.

warnings: jeon twins au, possible headache bc the use of jeongguk and jung kook is v confusing (but they're different people here your honor), specific warnings will be emphasized in the actual completed fic (whenever that may be)

masterlist + disclaimers.

note: this is an au i had since amas 2021. haven't finished it yet so please manage ur expectations bc 1. i'm too lazy and unmotivated to finish this, and 2. i have no idea where i'm going with the plot ^^

JEON JEONGGUK.

nickname: Guk

description: the older twin, the golden son, the responsible one

appearance: styles his hair in a short & clean cut, has eleven piercings (6 on the right earlobe, 3 on the left earlobe, 1 through the right eyebrow, 1 on the lower lip), prefers studs as earrings, has a full sleeve tattoo on his right arm

hobbies: studying (yes he's smart too bc god has favorites), working out, singing (holds nightly karaoke sessions by himself), boxing (does it recreatively, not competitively)

JEON JUNG KOOK.

nickname: JK

description: the younger twin, the black sheep, the rebellious one

appearance: has his long hair slicked back to complement his undercut, has 6 visible piercings on his earlobes (but rumor has it he has more elsewhere *wink*), prefers hoops or dangling earrings, has a couple of small tattoos on his arm but covers them with long sleeved shirts

hobbies: drawing (prefers old-fashioned sketching over digital), working out, playing guitar (he's self taught!), riding his motorcycle (he wears knee pads & a helmet bc safety is cool)

INDEX.

PART 01.

PART 02.

PART 03.

PART 04.

PART 05.

PART 06.

PART 07.

PART 08.

EPILOGUE.

COPYRIGHT 2023. ALL RIGHTS RESERVED.

[mostlysignssomeportents]

Gig apps trap reverse centaurs in Skinner boxes

Enshittification is the process by which digital platforms devour themselves: first they dangle goodies in front of end users. Once users are locked in, the goodies are taken away and dangled before business customers who supply goods to the users. Once those business customers are stuck on the platform, the goodies are clawed away and showered on the platform’s shareholders:

https://pluralistic.net/2023/01/21/potemkin-ai/#hey-guys

If you’d like an essay-formatted version of this post to read or share, here’s a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2023/04/12/algorithmic-wage-discrimination/#fishers-of-men

Enshittification isn’t just another way of saying “fraud” or “price gouging” or “wage theft.” Enshittification is intrinsically digital, because moving all those goodies around requires the flexibility that only comes with a digital businesses. Jeff Bezos, grocer, can’t rapidly change the price of eggs at Whole Foods without an army of kids with pricing guns on roller-skates. Jeff Bezos, grocer, can change the price of eggs on Amazon Fresh just by twiddling a knob on the service’s back-end.

Twiddling is the key to enshittification: rapidly adjusting prices, conditions and offers. As with any shell game, the quickness of the hand deceives the eye. Tech monopolists aren’t smarter than the Gilded Age sociopaths who monopolized rail or coal — they use the same tricks as those monsters of history, but they do them faster and with computers:

https://doctorow.medium.com/twiddler-1b5c9690cce6

If Rockefeller wanted to crush a freight company, he couldn’t just click a mouse and lay down a pipeline that ran on the same route, and then click another mouse to make it go away when he was done. When Bezos wants to bankrupt Diapers.com — a company that refused to sell itself to Amazon — he just moved a slider so that diapers on Amazon were being sold below cost. Amazon lost $100m over three months, diapers.com went bankrupt, and every investor learned that competing with Amazon was a losing bet:

https://slate.com/technology/2013/10/amazon-book-how-jeff-bezos-went-thermonuclear-on-diapers-com.html

That’s the power of twiddling — but twiddling cuts both ways. The same flexibility that digital businesses enjoy is hypothetically available to workers and users. The airlines pioneered twiddling ticket prices, and that naturally gave rise to countertwiddling, in the form of comparison shopping sites that scraped the airlines’ sites to predict when tickets would be cheapest:

https://pluralistic.net/2023/02/27/knob-jockeys/#bros-be-twiddlin

The airlines — like all abusive businesses — refused to tolerate this. They were allowed to touch their knobs as much as they wanted — indeed, they couldn’t stop touching those knobs — but when we tried to twiddle back, that was “felony contempt of business model,” and the airlines sued:

https://www.cnbc.com/2014/12/30/airline-sues-man-for-founding-a-cheap-flights-website.html

And sued:

https://www.nytimes.com/2018/01/06/business/southwest-airlines-lawsuit-prices.html

Platforms don’t just hate it when end-users twiddle back — if anything they are even more aggressive when their business-users dare to twiddle. Take Para, an app that Doordash drivers used to get a peek at the wages offered for jobs before they accepted them — something that Doordash hid from its workers. Doordash ruthlessly attacked Para, saying that by letting drivers know how much they’d earn before they did the work, Para was violating the law:

https://www.eff.org/deeplinks/2021/08/tech-rights-are-workers-rights-doordash-edition

Which law? Well, take your pick. The modern meaning of “IP” is “any law that lets me use the law to control my competitors, competition or customers.” Platforms use a mix of anticircumvention law, patent, copyright, contract, cybersecurity and other legal systems to weave together a thicket of rules that allow them to shut down rivals for their Felony Contempt of Business Model:

https://locusmag.com/2020/09/cory-doctorow-ip/

Enshittification relies on unlimited twiddling (by platforms), and a general prohibition on countertwiddling (by platform users). Enshittification is a form of fishing, in which bait is dangled before different groups of users and then nimbly withdrawn when they lunge for it. Twiddling puts the suppleness into the enshittifier’s fishing-rod, and a ban on countertwiddling weighs down platform users so they’re always a bit too slow to catch the bait.

Nowhere do we see twiddling’s impact more than in the “gig economy,” where workers are misclassified as independent contractors and put to work for an app that scripts their every move to the finest degree. When an app is your boss, you work for an employer who docks your pay for violating rules that you aren’t allowed to know — and where your attempts to learn those rules are constantly frustrated by the endless back-end twiddling that changes the rules faster than you can learn them.

As with every question of technology, the issue isn’t twiddling per se — it’s who does the twiddling and who gets twiddled. A worker armed with digital tools can play gig work employers off each other and force them to bid up the price of their labor; they can form co-ops with other workers that auto-refuse jobs that don’t pay enough, and use digital tools to organize to shift power from bosses to workers:

https://pluralistic.net/2022/12/02/not-what-it-does/#who-it-does-it-to

Take “reverse centaurs.” In AI research, a “centaur” is a human assisted by a machine that does more than either could do on their own. For example, a chess master and a chess program can play a better game together than either could play separately. A reverse centaur is a machine assisted by a human, where the machine is in charge and the human is a meat-puppet.

Think of Amazon warehouse workers wearing haptic location-aware wristbands that buzz at them continuously dictating where their hands must be; or Amazon drivers whose eye-movements are continuously tracked in order to penalize drivers who look in the “wrong” direction:

https://pluralistic.net/2021/02/17/reverse-centaur/#reverse-centaur

The difference between a centaur and a reverse centaur is the difference between a machine that makes your life better and a machine that makes your life worse so that your boss gets richer. Reverse centaurism is the 21st Century’s answer to Taylorism, the pseudoscience that saw white-coated “experts” subject workers to humiliating choreography down to the smallest movement of your fingertip:

https://pluralistic.net/2022/08/21/great-taylors-ghost/#solidarity-or-bust

While reverse centaurism was born in warehouses and other company-owned facilities, gig work let it make the leap into workers’ homes and cars. The 21st century has seen a return to the cottage industry — a form of production that once saw workers labor far from their bosses and thus beyond their control — but shriven of the autonomy and dignity that working from home once afforded:

https://doctorow.medium.com/gig-work-is-the-opposite-of-steampunk-463e2730ef0d

The rise and rise of bossware — which allows for remote surveillance of workers in their homes and cars — has turned “work from home” into “live at work.” Reverse centaurs can now be chickenized — a term from labor economics that describes how poultry farmers, who sell their birds to one of three vast poultry processors who have divided up the country like the Pope dividing up the “New World,” are uniquely exploited:

https://onezero.medium.com/revenge-of-the-chickenized-reverse-centaurs-b2e8d5cda826

A chickenized reverse centaur has it rough: they must pay for the machines they use to make money for their bosses, they must obey the orders of the app that controls their work, and they are denied any of the protections that a traditional worker might enjoy, even as they are prohibited from deploying digital self-help measures that let them twiddle back to bargain for a better wage.

All of this sets the stage for a phenomenon called algorithmic wage discrimination, in which two workers doing the same job under the same conditions will see radically different payouts for that work. These payouts are continuously tweaked in the background by an algorithm that tries to predict the minimum sum a worker will accept to remain available without payment, to ensure sufficient workers to pick up jobs as they arise.

This phenomenon — and proposed policy and labor solutions to it — is expertly analyzed in “On Algorithmic Wage Discrimination,” a superb paper by UC Law San Franciscos Veena Dubal:

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4331080

Dubal uses empirical data and enthnographic accounts from Uber drivers and other gig workers to explain how endless, self-directed twiddling allows gig companies pay workers less and pay themselves more. As @brianmerchant@mastodon.social explains in his LA Times article on Dubal’s research, the goal of the payment algorithm is to guess how often a given driver needs to receive fair compensation in order to keep them driving when the payments are unfair:

https://www.latimes.com/business/technology/story/2023-04-11/algorithmic-wage-discrimination

The algorithm combines nonconsensual dossiers compiled on individual drivers with population-scale data to seek an equilibrium between keeping drivers waiting, unpaid, for a job; and how much a driver needs to be paid for an individual job, in order to keep that driver from clocking out and doing something else. @ Here’s how that works. Sergio Avedian, a writer for The Rideshare Guy, ran an experiment with two brothers who both drove for Uber; one drove a Tesla and drove intermittently, the other brother rented a hybrid sedan and drove frequently. Sitting side-by-side with the brothers, Avedian showed how the brother with the Tesla was offered more for every trip:

https://www.youtube.com/watch?v=UADTiL3S67I

Uber wants to lure intermittent drivers into becoming frequent drivers. Uber doesn’t pay for an oversupply of drivers, because it only pays drivers when they have a passenger in the car. Having drivers on call — but idle — is a way for Uber to shift the cost of maintaining a capacity cushion to its workers.

What’s more, what Uber charges customers is not based on how much it pays its workers. As Uber’s head of product explained: Uber uses “machine-learning techniques to estimate how much groups of customers are willing to shell out for a ride. Uber calculates riders’ propensity for paying a higher price for a particular route at a certain time of day. For instance, someone traveling from a wealthy neighborhood to another tony spot might be asked to pay more than another person heading to a poorer part of town, even if demand, traffic and distance are the same.”

https://qz.com/990131/uber-is-practicing-price-discrimination-economists-say-that-might-not-be-a-bad-thing/

Uber has historically described its business a pure supply-and-demand matching system, where a rush of demand for rides triggers surge pricing, which lures out drivers, which takes care of the demand. That’s not how it works today, and it’s unclear if it ever worked that way. Today, a driver who consults the rider version of the Uber app before accepting a job — to compare how much the rider is paying to how much they stand to earn — is booted off the app and denied further journeys.

Surging, instead, has become just another way to twiddle drivers. One of Dubal’s subjects, Derrick, describes how Uber uses fake surges to lure drivers to airports: “You go to the airport, once the lot get kind of full, then the surge go away.” Other drivers describe how they use groupchats to call out fake surges: “I’m in the Marina. It’s dead. Fake surge.”

That’s pure twiddling. Twiddling turns gamification into gamblification, where your labor buys you a spin on a roulette wheel in a rigged casino. As a driver called Melissa, who had doubled down on her availability to earn a $100 bonus awarded for clocking a certain number of rides, told Dubal, “When you get close to the bonus, the rides start trickling in more slowly…. And it makes sense. It’s really the type of shit that they can do when it’s okay to have a surplus labor force that is just sitting there that they don’t have to pay for.”

Wherever you find reverse-centaurs, you get this kind of gamblification, where the rules are twiddled continuously to make sure that the house always wins. As a contract driver Amazon reverse centaur told Lauren Gurley for Motherboard, “Amazon uses these cameras allegedly to make sure they have a safer driving workforce, but they’re actually using them not to pay delivery companies”:

https://www.vice.com/en/article/88npjv/amazons-ai-cameras-are-punishing-drivers-for-mistakes-they-didnt-make

Algorithmic wage discrimination is the robot overlord of our nightmares: its job is to relentlessly quest for vulnerabilities and exploit them. Drivers divide themselves into “ants” (drivers who take every job) and “pickers” (drivers who cherry-pick high-paying jobs). The algorithm’s job is ensuring that pickers get the plum assignments, not the ants, in the hopes of converting those pickers to app-dependent ants.

In my work on enshittification, I call this the “giant teddy bear” gambit. At every county fair, you’ll always spot some poor jerk carrying around a giant teddy-bear they “won” on the midway. But they didn’t win it — not by getting three balls in the peach-basket. Rather, the carny running the rigged game either chose not to operate the “scissor” that kicks balls out of the basket. Or, if the game is “honest” (that is, merely impossible to win, rather than gimmicked), the operator will make a too-good-to-refuse offer: “Get one ball in and I’ll give you this keychain. Win two keychains and I’ll let you trade them for this giant teddy bear.”

Carnies aren’t in the business of giving away giant teddy bears — rather, the gambit is an investment. Giving a mark a giant teddy bear to carry around the midway all day acts as a convincer, luring other marks to try to land three balls in the basket and win their own teddy bear.

In the same way, platforms like Uber distribute giant teddy bears to pickers, as a way of keeping the ants scurrying from job to job, and as a way of convincing the pickers to give up whatever work allows them to discriminate among Uber’s offers and hold out for the plum deals, whereupon then can be transmogrified into ants themselves.

Dubal describes the experience of Adil, a Syrian refugee who drives for Uber in the Bay Area. His colleagues are pickers, and showed him screenshots of how much they earned. Determined to get a share of that money, Adil became a model ant, driving two hours to San Francisco, driving three days straight, napping in his car, spending only one day per week with his family. The algorithm noticed that Adil needed the work, so it paid him less.

Adil responded the way the system predicted he would, by driving even more: “My friends they make it, so I keep going, maybe I can figure it out. It’s unsecure, and I don’t know how people they do it. I don’t know how I am doing it, but I have to. I mean, I don’t find another option. In a minute, if I find something else, oh man, I will be out immediately. I am a very patient person, that’s why I can continue.”

Another driver, Diego, told Dubal about how the winners of the giant teddy bears fell into the trap of thinking that they were “good at the app”: “Any time there’s some big shot getting high pay outs, they always shame everyone else and say you don’t know how to use the app. I think there’s secret PR campaigns going on that gives targeted payouts to select workers, and they just think it’s all them.”

That’s the power of twiddling: by hoarding all the flexibility offered by digital tools, the management at platforms can become centaurs, able to string along thousands of workers, while the workers are reverse-centaurs, puppeteered by the apps.

As the example of Adil shows, the algorithm doesn’t need to be very sophisticated in order to figure out which workers it can underpay. The system automates the kind of racial and gender discrimination that is formally illegal, but which is masked by the smokescreen of digitization. An employer who systematically paid women less than men, or Black people less than white people, would be liable to criminal and civil sanctions. But if an algorithm simply notices that people who have fewer job prospects drive more and will thus accept lower wages, that’s just “optimization,” not racism or sexism.

This is the key to understanding the AI hype bubble: when ghouls from multinational banks predict 13 trillion dollar markets for “AI,” what they mean is that digital tools will speed up the twiddling and other wage-suppression techniques to transfer $13T in value from workers and consumers to shareholders.

The American business lobby is relentlessly focused on the goal of reducing wages. That’s the force behind “free trade,” “right to work,” and other codewords for “paying workers less,” including “gig work.” Tech workers long saw themselves as above this fray, immune to labor exploitation because they worked for a noble profession that took care of its own.

But the epidemic of mass tech-worker layoffs, following on the heels of massive stock buybacks, has demonstrated that tech bosses are just like any other boss: willing to pay as little as they can get away with, and no more. Tech bosses are so comfortable with their market dominance and the lock-in of their customers that they are happy to turn out hundreds of thousands of skilled workers, convinced that the twiddling systems they’ve built are the kinds of self-licking ice-cream cones that are so simple even a manager can use them — no morlocks required.

The tech worker layoffs are best understood as an all-out war on tech worker morale, because that morale is the source of tech workers’ confidence and thus their demands for a larger share of the value generated by their labor. The current tech layoff template is very different from previous tech layoffs: today’s layoffs are taking place over a period of months, long after they are announced, and laid off tech worker is likely to be offered a months of paid post-layoff work, rather than severance. This means that tech workplaces are now haunted by the walking dead, workers who have been laid off but need to come into the office for months, even as the threat of layoffs looms over the heads of the workers who remain. As an old friend, recently laid off from Microsoft after decades of service, wrote to me, this is “a new arrow in the quiver of bringing tech workers to heel and ensuring that we’re properly thankful for the jobs we have (had?).”

Dubal is interested in more than analysis, she’s interested in action. She looks at the tactics already deployed by gig workers, who have not taken all this abuse lying down. Workers in the UK and EU organized through Worker Info Exchange and the App Drivers and Couriers Union have used the GDPR (the EU’s privacy law) to demand “algorithmic transparency,” as well as access to their data. In California, drivers hope to use similar provisions in the CCPA (a state privacy law) to do the same.

These efforts have borne fruit. When Cornell economists, led by Louis Hyman, published research (paid for by Uber) claiming that Uber drivers earned an average of $23/hour, it was data from these efforts that revealed the true average Uber driver’s wage was $9.74. Subsequent research in California found that Uber drivers’ wage fell to $6.22/hour after the passage of Prop 22, a worker misclassification law that gig companies spent $225m to pass, only to have the law struck down because of a careless drafting error:

https://www.latimes.com/california/newsletter/2021-08-23/proposition-22-lyft-uber-decision-essential-california

But Dubal is skeptical that data-coops and transparency will achieve transformative change and build real worker power. Knowing how the algorithm works is useful, but it doesn’t mean you can do anything about it, not least because the platform owners can keep touching their knobs, twiddling the payout schedule on their rigged slot-machines.

Data co-ops start from the proposition that “data extraction is an inevitable form of labor for which workers should be remunerated.” It makes on-the-job surveillance acceptable, provided that workers are compensated for the spying. But co-ops aren’t unions, and they don’t have the power to bargain for a fair price for that data, and coops themselves lack the vast resources — “to store, clean, and understand” — data.

Co-ops are also badly situated to understand the true value of the data that is extracted from their members: “Workers cannot know whether the data collected will, at the population level, violate the civil rights of others or amplifies their own social oppression.”

Instead, Dubal wants an outright, nonwaivable prohibition on algorithmic wage discrimination. Just make it illegal. If firms cannot use gambling mechanisms to control worker behavior through variable pay systems, they will have to find ways to maintain flexible workforces while paying their workforce predictable wages under an employment model. If a firm cannot manage wages through digitally-determined variable pay systems, then the firm is less likely to employ algorithmic management.”

In other words, rather than using market mechanisms too constrain platform twiddling, Dubal just wants to make certain kinds of twiddling illegal. This is a growing trend in legal scholarship. For example, the economist Ramsi Woodcock has proposed a ban on surge pricing as a per se violation of Section 1 of the Sherman Act:

https://ilr.law.uiowa.edu/print/volume-105-issue-4/the-efficient-queue-and-the-case-against-dynamic-pricing

Similarly, Dubal proposes that algorithmic wage discrimination violates another antitrust law: the Robinson-Patman Act, which “bans sellers from charging competing buyers different prices for the same commodity. Robinson-Patman enforcement was effectively halted under Reagan, kicking off a host of pathologies, like the rise of Walmart:

https://pluralistic.net/2023/03/27/walmarts-jackals/#cheater-sizes

I really liked Dubal’s legal reasoning and argument, and to it I would add a call to reinvigorate countertwiddling: reforming laws that get in the way of workers who want to reverse-engineer, spoof, and control the apps that currently control them. Adversarial interoperability (AKA competitive compatibility or comcom) is key tool for building worker power in an era of digital Taylorism:

https://www.eff.org/deeplinks/2019/10/adversarial-interoperability

To see how that works, look to other jursidictions where workers have leapfrogged their European and American cousins, such as Indonesia, where gig workers and toolsmiths collaborate to make a whole suite of “tuyul apps,” which let them override the apps that gig companies expect them to use.

https://pluralistic.net/2021/07/08/tuyul-apps/#gojek

For example, ride-hailing companies won’t assign a train-station pickup to a driver unless they’re circling the station — which is incredibly dangerous during the congested moments after a train arrives. A tuyul app lets a driver park nearby and then spoof their phone’s GPS fix to the ridehailing company so that they appear to be right out front of the station.

In an ideal world, those workers would have a union, and be able to dictate the app’s functionality to their bosses. But workers shouldn’t have to wait for an ideal world: they don’t just need jam tomorrow — they need jam today. Tuyul apps, and apps like Para, which allow workers to extract more money under better working conditions, are a prelude to unionization and employer regulation, not a substitute for it.

Employers will not give workers one iota more power than they have to. Just look at the asymmetry between the regulation of union employees versus union busters. Under US law, employees of a union need to account for every single hour they work, every mile they drive, every location they visit, in public filings. Meanwhile, the union-busting industry — far larger and richer than unions — operate under a cloak of total secrecy, Workers aren’t even told which union busters their employers have hired — let alone get an accounting of how those union busters spend money, or how many of them are working undercover, pretending to be workers in order to sabotage the union.

Twiddling will only get an employer so far. Twiddling — like all “AI” — is based on analyzing the past to predict the future. The heuristics an algorithm creates to lure workers into their cars can’t account for rapid changes in the wider world, which is why companies who relied on “AI” scheduling apps (for example, to prevent their employees from logging enough hours to be entitled to benefits) were caught flatfooted by the Great Resignation.

Workers suddenly found themselves with bargaining power thanks to the departure of millions of workers — a mix of early retirees and workers who were killed or permanently disabled by covid — and they used that shortage to demand a larger share of the fruits of their labor. The outraged howls of the capital class at this development were telling: these companies are operated by the kinds of “capitalists” that MLK once identified, who want “socialism for the rich and rugged individualism for the poor.”

https://twitter.com/KaseyKlimes/status/821836823022354432/

There's only 5 days left in the Kickstarter campaign for the audiobook of my next novel, a post-cyberpunk anti-finance finance thriller about Silicon Valley scams called Red Team Blues. Amazon's Audible refuses to carry my audiobooks because they're DRM free, but crowdfunding makes them possible.

Image: Stephen Drake (modified) https://commons.wikimedia.org/wiki/File:Analog_Test_Array_modular_synth_by_sduck409.jpg

CC BY 2.0 https://creativecommons.org/licenses/by/2.0/deed.en

 — 

Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

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Louis (modified) https://commons.wikimedia.org/wiki/File:Chestnut_horse_head,_all_excited.jpg

CC BY-SA 2.0 https://creativecommons.org/licenses/by-sa/2.0/deed.en

[Image ID: A complex mandala of knobs from a modular synth. In the foreground, limned in a blue electric halo, is a man in a hi-viz vest with the head of a horse. The horse's eyes have been replaced with the sinister red eyes of HAL9000 from Kubrick's '2001: A Space Odyssey.'"]

[thankyouforthememoriesworld]

(I really started this before the other anon asked ! LOL)

I made another little timeline, of the games when they played against each other, initially only before they met with the national team, and then also the games after, to conclude on some interesting stat. Hopefully I didn't miss any.

12/07/2019 : WNBA @Chicago :  SKY 99 - 83 NYL  https://youtu.be/8LArSiEV3EM?feature=shared&t=1007

07/08/2019 : WNBA @Chicago : SKY 101- 92 NYL https://youtu.be/VT6E17azVlg?feature=shared&t=1163

12/10/2019 : LFB @Montpellier BLMA 72  - 58  ASVEL https://www.midilibre.fr/2019/10/12/basket-ball-blma-asvel-suivez-le-match-en-direct,8475711.php

27/11/2019 : Euroleague @Montpellier : BLMA 80 - 73 ASVEL https://www.fiba.basketball/euroleaguewomen/19-20/game/2711/BLMA-Lyon-ASVEL

28/01/2020 : Euroleague @Lyon : ASVEL 78 - 77 BLMA https://www.fiba.basketball/euroleaguewomen/19-20/game/2801/Lyon-ASVEL-BLMA

16/02/2020 : Coupe de France @Vannes ASVEL 86 - 74 BLMA https://ancien.ffbb.com/coupe-de-france/le-blma-resiste-et-passe

23/02/2020 : LFB @Lyon  ASVEL 94 - 73 BLMA https://www.blma.fr/actualites-les-gazelles/lfb-j14-une-deuxieme-mi-temps-compliquee-les-gazelles-gardent-neanmoins-leur-place-sur-le-podium/

17/03/2021 : Euroleague Quarter finals Game 1 @Lyon  : ASVEL 66 - 94 Sopron https://www.fiba.basketball/euroleaguewomen/20-21/game/1703/LDLC-ASVEL-Feminin--Sopron-Basket

19/03/2021 : Euroleague  Quarter finals Game 2 @Sopron Sopron 62 - 75 ASVEL https://www.fiba.basketball/euroleaguewomen/20-21/videos/LIVE-Sopron-Basket-v-LDLC-ASVEL-Feminin-EuroLeague-Women-2020

19/06/2022 : WNBA @Seattle SEA 81 - 72 NYL  https://stats.wnba.com/game/1022200092/ (both on 🔥 during that game, 23 pts each)

27/07/2023 : WNBA @NY NYL 86 - 82 SEA  https://www.youtube.com/watch?v=uoDj5JomtsY

So quick stat that I'm sure they have in mind : Gabby won 6 times out of these 11 games, and one of the times Marine won, it was for nothing as Gabby's team qualified for the semis.

NB : that WNBA stats website is magnificent, they provide the links to videos to illustrate most of the individuals stats actions 

You're incredible, thank you so much💜