#its 21 guns

[trojanteapot]

Gloria, where are you Gloria? You found a home in all your scars and ammunition You made your bed in salad days amongst the ruins Ashes to ashes of our youth.

21st Century Breakdown is the definitive Grace/Simon album.

[inkedbydave]

do you guys ever listen to a song so much it makes you sick to your stomach but you still cant stop

[trixstriforce]

this blog would be VERY full if i posted about my loz hero au here but that is not a good thing bc i have too much lore and i rewrite major plot points every other minute

[synthaphone]

i think green day music exists to be mashed up or remixed or covered by other artists. whenever i’m like ‘damn its been a while, i remember liking this one green day song’ i go to listen to it and it just feels like its missing Something

[itsalwaysdark]

my secret the reason i like poppyseed bagels is bc eating poppyseed makes me feel like im a warrior cat recovering from an injury so ive been given poppyseed to help me rest . this is true

[dogswest]

vent posting on second acount got me feeling

[shadow-bender]

.

[castielafflicted]

tw for suicide talk below the cut and in the tags (mostly in the tags) but im being funny about it

if you told 19 yr old me id end up with a gun kink i think hed freak out because of the gun thing. if you told 15 yr old me theyd freak out not because of the gun thing but because they kinda planned on dying before 23. which i think is a funner reason to freak out about a gun kink actually.

[batboyblog]

Things Biden and the Democrats did, this week #24

June 21-28 2024

The US Surgeon General declared for the first time ever, firearm violence a public health crisis. The nation's top doctor recommended the banning of assault weapons and large-capacity magazines, the introduce universal background checks for purchasing guns, regulate the industry, pass laws that would restrict their use in public spaces and penalize people who fail to safely store their weapons. President Trump dismissed Surgeon General Dr. Vivek Murthy in 2017 in part for his criticism of guns before his time in government, he was renominated for his post by President Biden in 2021. While the Surgeon General's reconstructions aren't binding a similar report on the risks of smoking in 1964 was the start of a national shift toward regulation of tobacco.

Vice-President Harris announced the first grants to be awarded through a ground breaking program to remove barriers to building more housing. Under President Biden more housing units are under construction than at any time in the last 50 years. Vice President Harris was announcing 85 million dollars in grants giving to communities in 21 states through the  Pathways to Removing Obstacles to Housing (PRO) program. The administration plans another 100 million in PRO grants at the end of the summer and has requested 100 million more for next year. The Treasury also announced it'll moved 100 million of left over Covid funds toward housing. All of this is part of plans to build 2 million affordable housing units and invest $258 billion in housing overall.

President Biden pardoned all former US service members convicted under the US Military's ban on gay sex. The pardon is believed to cover 2,000 veterans convicted of "consensual sodomy". Consensual sodomy was banned and a felony offense under the Uniform Code of Justice from 1951 till 2013. The Pardon will wipe clean those felony records and allow veterans to apply to change their discharge status.

The Department of Transportation announced $1.8 Billion in new infrastructure building across all 50 states, 4 territories and Washington DC. The program focuses on smaller, often community-oriented projects that span jurisdictions. This award saw a number of projects focused on climate and energy, like $25 million to help repair damage caused by permafrost melting amid higher temperatures in Alaska, or $23 million to help electrify the Downeast bus fleet in Maine.

The Department of Energy announced $2.7 billion to support domestic sources of nuclear fuel. The Biden administration hopes to build up America's domestic nuclear fuel to allow for greater stability and lower costs. Currently Russia is the world's top exporter of enriched uranium, supplying 24% of US nuclear fuel.

The Department of Interior awarded $127 million to 6 states to help clean up legacy pollution from orphaned oil and gas wells. The funding will help cap 600 wells in Alaska, Arizona, Indiana, New York and Ohio. So far thanks to administration efforts over 7,000 orphaned wells across the country have been capped, reduced approximately 11,530 metric tons of carbon dioxide equivalent emissions

HUD announced $469 million to help remove dangerous lead from older homes. This program will focus on helping homeowners particularly low income ones remove lead paint and replace lead pipes in homes built before 1978. This represents one of the largest investments by the federal government to help private homeowners deal with a health and safety hazard.

Bonus: President Biden's efforts to forgive more student debt through his administration's SAVE plan hit a snag this week when federal courts in Kansas and Missouri blocked elements the Administration also suffered a set back at the Supreme Court as its efforts to regular smog causing pollution was rejected by the conservative majority in a 5-4 ruling that saw Amy Coney Barrett join the 3 liberals against the conservatives. This week's legal setbacks underline the importance of courts and the ability to nominate judges and Justices over the next 4 years.

[yourlocalcharlie]

Tony sighs, staring down at the mysterious goop his most recent experiment had created. He's spent the last few minutes just staring down at it, watching as it writhes in it's beaker, purple radiance reflecting off the metal lying haphazardly on the table. He knows it is more than likely dangerous, but now that leads to the question of how the hell is he suppossed to safely dispose of this? The door slides somewhere behind Tony, and is followed by footsteps; "Hey Mr. Stark I was wondering if- woah what is that?" Peter asks, tripping on nothing and nearly spilling the coffee in his hands, the mug tipping dangerously. He's wearing the pristine lab coat Tony had gotten for him when he turned eighteen, Peter Parker embroidered in the corner. Turning around, Tony smiles at him, waving his hand as he tries to come up with an explanation. Tony waves a hand in fauz non-chalance, "Run of the mill alien toxins, tried mixing their stuff with ours and ended up with deadly goop again. Only issue is getting rid of it." Peter perks up, setting his mug down on a table and reaching into his pocket, rustling through the loose screws, pens, and whatever else he keeps in there. "I can ahndle it, sir!" He says happily, as if there was no threat at all. It's then that Peter pulls a gun out of his pocket,, holding the pistol-sized machine casually before clicking a button on the side and pointing it at the now pulsating toxins, squinting one eye in an effort to aim better. Tony backs up, his hands raised as Peter presses down the trigger and a ray escapes the barrel of the gun, near instantly turning what was once a pile of straight danger into nothing. He looks back and forth between Peter and his gun (when the fuck did Peter get a gun) and the now empty counter space. "What the shit," Tony mutters, watching as Peter click the button again and slips the gun back into his pocket. "Why do you even have that, Peter?" Peter shrugs, "Made it the last time we had an accidental toxin on our hands. Can't have dangerous stuff just lying around." He says with a tired smile, picking up his coffee cup and walking towards the web-shooters he had been working on the last time he had come to the lab.

We need more disintegrator rays in media they’re just so funny to me, especially in the hands of people who aren’t villains

Like Peter Parker hasn’t slept in 48 hours, is running off of coffee sludge and whatever concoction he made himself in his lab, eye bags bigger than his eyes is like:

“oh don’t worry I invented a way to get rid of toxic and unsafe materials after I do my experiments, it’s this incredibly dangerous disintegrator ray, yup, works on any material and gets rid of stuff within seconds, I keep it loose in my lab coat pocket so that I can reach it quickly, can’t just let hazardous waste sit around y’know, lab safety is very important to me, I forgot to put a safety switch on the ray :)”

and everyone else is like Peter. Pete. Buddy. Put the Ray Gun™️ down please.

[robertreich]

10 Worst Things About The Trump Presidency

Donald Trump left office with the lowest approval rating of any president ever. But some people now seem to be suffering from amnesia.

Let me jog your memory. Here are 10 Worst Things About the Trump Presidency — in no particular order.

#1. Trump fueled division and sparked a record uptick in hate crimes.

#2. Murder went way up under Trump. He presided over the largest ever single-year increase in homicides in 2020. A number of factors might have contributed to that, but a big one is…

#3. Gun sales broke records under Trump, who has bragged about how he ��did nothing” to restrict guns as president in spite of…

#4. Under Trump, America suffered more than 1,700 mass shootings.

#5. Trump said there were "very fine people" among the neo-Nazis in Charlottesville.

I’m halfway to ten. If you think I’m missing something big, leave it in the comments.

#6. Trump allied himself with the Proud Boys, a violent hate group who helped orchestrate the Jan 6 Capitol attack.

#7. Trump’s not wrong when he says…

TRUMP: I got rid of Roe v. Wade.

It is entirely because of Trump’s judicial appointments that 1 in 3 American women of childbearing age now lives in states with abortion bans.

#8. One of Trump’s Supreme Court justices was Brett Kavanaugh, a man accused of sexual assault by multiple women.

#9. Trump’s White House interfered in the FBI’s investigation of Brett Kavanaugh’s alleged sexual assaults.

And now: #10. Trump has been convicted of committing 34 felonies while in office. The criminally false business filings he got convicted for in New York? All of them were committed while he was president.

I’m sorry, did I say the 10 Worst Things About the Trump Presidency? I meant 15.

#11. Trump’s failed pandemic response is estimated to have led to hundreds of thousands of needless deaths. By the time Trump left office, roughly 3,000 Americans were dying of covid every day. That’s a 9/11-scale mass casualty event every single day. How did Trump screw up so badly?

#12. Trump’s White House discarded the pandemic response playbook that had been assembled by the Obama administration.

#13. Trump disbanded the National Security Council’s pandemic response team.

#14. Trump repeatedly lied about the danger of covid, saying it was no worse than the flu or that it would go away on its own.

But behind closed doors, Trump admitted he knew covid was deadly.

#15. Trump promoted fake covid cures like hydroxychloroquine and even injecting people with disinfectants.

After Trump’s “disinfectant” remarks, poison control centers received a spike in emergency calls.

That’s fifteen things. Should I keep going? Ok, I’ll keep going. The 20 Worst Things About the Trump Presidency.

#16. Trump presided over a net loss of 2.9 million American jobs — the worst recorded jobs numbers of any U.S. president in history.

#17. Trump profited off the presidency, making an estimated $160 million from foreign countries while he was president.

#18. Trump also billed the Secret Service over $1 million for the privilege of staying at his golf clubs and other properties while they protected him. That’s your money!

#19. Trump caused the longest government shutdown in U.S. history when he didn’t get funding for his border wall, which he said Mexico was going to pay for.  

#20. Under Trump, the national debt increased by about 40% — more than in any other four-year presidential term — largely because of his tax cuts for the rich and big corporations.

You didn’t really think I was stopping at 20, did you? We’re going to 25 —

#21. Trump separated more than 5,000 children from their parents at the border, with no plan to ever reunite them, putting babies in cages.

#22. The Muslim Ban. Yes, Trump really did try to ban Muslims from entering the country.

#23. Trump sparked international outrage by moving the American Embassy in Israel to Jerusalem while closing the U.S. mission to Palestine.

#24. Trump tasked his son-in-law Jared Kushner with drafting a potential Middle East “peace plan” with zero Palestinian input.

#25. And finally, Trump recognized Israel’s occupation of the Goh-lahn Heights, which is considered illegal under international law.

So there you have it, folks: The 25 Worst — Wait a minute. Wait a minute. Did I mention the impeachments? We’ve got to do the impeachments. Let’s go to 30.

#26. Trump broke the law by trying to withhold nearly $400 million of U.S. aid for Ukraine in an effort to extort a personal political favor from Ukraine’s Pres. Zelensky. Trump wanted Zelensky to interfere in the 2020 election by announcing an investigation into the Bidens. Delaying this aid to Ukraine weakened Ukraine and strengthened Russia.

#27. Trump personally attacked and ruined the careers of everyone who stood in the way of his illegal Ukraine scheme, including Ambassador Marie Yovanovitch and Lt. Colonel Alexander Vindman.

#28. To cover up the scheme, Trump ordered the White House and State Department to defy congressional subpoenas.

#29. For these reasons, on December 18, 2019, Trump became the third U.S. president to be impeached. He was charged with Abuse of Power and Obstruction of Congress.

#30. Even while he was being investigated for trying to get Ukraine to interfere in the U.S. election, Trump publicly called for China to interfere in the election.

So those are the 30 Worst Things —

I’ll go to 35.

#31. Long before Election Day, Trump started making false claims that the election would be rigged.

#32. After losing, Trump falsely claimed the election was stolen, even though his own inner circle, including his campaign manager, White House lawyers, and his own Justice Department and attorney general told him it was not.

#33. Trump kept telling his Big Lie even after more than 60 legal challenges to the election were struck down in court, many by Trump-appointed judges.

#34. Trump ordered the Department of Justice to falsely claim that the election “was corrupt.”

#35. Trump and his allies used threats to pressure state leaders in Arizona and Georgia to falsify the election results.

We may go to 40.

#36. When none of the previous schemes worked, Trump and his allies produced fake electoral votes cast by fake electors in multiple swing states. His former White House chief of staff and Rudy Giuliani are among the many members of his inner circle who have been criminally indicted for this scheme.

#37. Trump tried to bully Vice President Pence into obstructing the certification of the election.

#38. Trump invited a mob to the Capitol on Jan 6 with his “be there, will be wild” tweet.

#39. Sworn testimony alleges that when Trump was warned that members of the crowd were carrying deadly weapons, he ordered security metal detectors to be taken down.

#40. Knowing the crowd had deadly weapons, he ordered them to go to the Capitol and…

TRUMP: …fight like hell.

#41 — Yes, yes, I know, bear with me.

Trump betrayed his oath to defend the nation by doing nothing to stop the Jan 6 violence. Instead, according to witness testimony, he sat and watched TV for hours.

#42. On January 13, 2021, Trump became the only president ever to be impeached twice. This time he was charged with incitement of insurrection. It was a bipartisan vote.

#43. The majority of senators — 57 out of 100 — voted to convict Trump, including 7 Republican senators.

So that’s the two impeachments and the Big Lie, but wait, we haven’t dealt with Russia, right? So we’re going to 50.

#44. In a likely obstruction of justice, Trump pressured then FBI Director James Comey to stop the FBI’s investigation into Trump’s National Security Adviser, Michael Flynn. This was documented in the Mueller report.

#45. When Comey didn’t bend to Trump’s will, Trump fired him.

#46. Trump tried to shut down the Mueller investigation by ordering White House Counsel Don McGann to fire Mueller. McGann refused because that would be criminal obstruction of justice.

#47. When news got out that Trump tried to fire Mueller, Trump repeatedly told McGann to lie — to Mueller, to press, to public — and even create a false document to conceal Trump’s attempt to fire Mueller.

#48. Trump ordered his staff not to turn over emails showing Don Jr. had set up a meeting at Trump Tower before the 2016 election with representatives of the Russian government.

#49. Trump convinced Michael Cohen to lie to Congress about Trump’s plans to build a Trump Tower in Moscow, and Cohen served prison time for lying to Congress.

#50. Trump was not charged for criminal obstruction of justice because it’s the Justice Department’s policy not to indict a sitting president, but more than a thousand former federal prosecutors who served under both Republicans and Democrats, signed a letter declaring there was more than enough evidence to prosecute Trump.

So those are the 50 Worst Things About the Trump Presidency. Now I could go on…

And I will! The 75 Worst Things About the Trump Presidency.

#51. Trump said he’d hire only the best people, but…

His campaign chair was convicted of multiple crimes.

So was one of his closest associates.

His deputy campaign chair pleaded guilty to crimes.

So did his personal lawyer

His National Security Adviser

The Chief Financial Officer of his business

A campaign foreign policy adviser

And one of his campaign fundraisers.

They all committed crimes, and Trump pardoned most of them.

#52. Trump said he’d drain the Washington swamp. But he appointed more billionaires, CEOs, and Wall Street moguls to his administration than any administration in history

#53. Trump intervened to get his son-in-law, Jared Kushner top-secret clearance after he was denied over concerns about foreign influence.

#54. Trump hosted a Russian Foreign Minister to the Oval Office, where Trump revealed top-secret intelligence.

Oh, and Trump’s economic policies!

#55 Trump promised that the average American family would see a $4,000 pay raise because of his tax cuts for the wealthy and big corporations. How’d that work out? Did you get a $4,000 raise? Of course not! Nobody did!

#56. Trump vowed to protect American jobs, but offshoring increased and manufacturing fell.

#57. Trump said he would fix America’s infrastructure, but it never happened. He announced so many failed “infrastructure weeks” they became a running joke.

#58. Trump said he would be “the voice” of American workers, but he filled the National Labor Relations Board with anti-union flacks who made it harder for workers to unionize.

#59. Trump’s Labor Department made it easier for bosses to get out of paying workers overtime, which cheated 8 million workers of extra pay.

#60. Trump repeatedly suggested he might serve more than two terms in violation of the Constitution — and continues to do so.

#61. Trump called Haiti and African nations “shithole” countries.

#62. Trump tried to terminate DACA, which protects immigrants brought to the U.S. as children. Luckily this was struck down by the courts.

#63. Trump called climate change a “hoax.”

#64. Trump pulled out of the Paris Climate Agreement.

#65. Trump rolled back more than 100 environmental protections.

#66. Every budget Trump proposed included cuts to Social Security and Medicare.

#67. Trump tried (and failed) to repeal the Affordable Care Act, which would have resulted in 20 million Americans losing insurance. And striking down the ACA’s protections for the roughly 130 million people with pre-existing conditions could have driven up their insurance premiums or led to a loss of coverage.

#68. Trump made it easier for employers to remove birth control coverage from insurance plans.

#69. By the end of Trump’s term, the number of people lacking health insurance had risen by 3 million.

#70. Trump lied. Constantly. He made 30,573 false or misleading claims while president — an average of 21 a day, according to Washington Post fact-checkers.

#71. Trump allegedly took hundreds of classified documents on his way out of the White House, reportedly including nuclear secrets, which he then left unsecured in various parts of Mar-a-Lago, including a bathroom. He was even caught on tape showing them off to people.

#72. Trump seriously discussed the idea of nuking a hurricane.

#73. When Hurricane Maria hit Puerto Rico, Trump delayed $20 billion of aid and allowed Puerto Rico to be without power for 181 days.

#74. Trump suggested withholding federal aid for California wildfire recovery and said the solution was to “clean” the “floors” of the forest.

#75. Trump pulled out of the Iran deal, placing Iran on a path to developing nuclear weapons.

Honestly, there’s so much more, from exchanging “love letters” with North Korea’s brutal dictator to publicly denigrating a Gold Star military widow and making her cry, to the way he attacked journalists, to late night tweet binges.

Look, I can understand why a lot of people want to block all of this out of their memories. But we cannot afford to forget just how terrible Trump’s time in the White House was for this nation.

And we sure as hell can’t afford to put him back there.

[actuallyitsstar]

NINE PEOPLE I WOULD LIKE TO KNOW BETTER

OMG TYSM FOR TAGGING ME @liass-21 !!!!! i am so sorry i drafted this tag and i thought i queue'd it and i didnt so 😭😭😭 its only like a month late. its fine everythings fine. aaaaaa 😭

LAST SONG? - "photograph" by the midnight! it is on my writing-for-top-gun playlist bc it has huge maverick vibes lol.

FAVORITE COLOR? - pink!!!! also lighter purples and blues and most pastel shades <3 and black

CURRENTLY WATCHING? - a streamer i have never watched before playing the remaster of of tomb raider i-iii bc i am excited about the remaster!! and those games are my childhood <3 not to be a million years old or anything sakfhfjfhg

LAST MOVIE? - unfortunately it was 'oz the great and powerful' 😭 if any of y'all enjoyed that movie i respect it, but i had to see it on tv at a friend's house and we were having a great time laughing at the very unexpected writing and acting choices being made lol

SWEET/SPICY/SAVORY? - aaaaaaaa i guess savory ?????? but sweet has a special place in my heart ajdhfjfhfjg

RELATIONSHIP STATUS? - committed long term relationship to ~my person~ <3<3

CURRENT OBSESSIONS? - well this is gonna be obvious but top gun primarily !!!! additionally, dan and phil !! mission impossible !!! fall out boy!! and even if the current obsession level is not as high as other things, i am always at least partially obsessed with a hundred other things and people that i am probably posting about at the same time lol

LAST THING YOU GOOGLED? - “oz the great and powerful reviews” bc i wanted to make sure that im not crazy and that other ppl also felt that movie was an insane fever dream (apparently due to the 44% on metacritic i guess they did lol)😭

tagging: aaaaaa @brambleberrycottage @daffodilstark @tellhound @torchflies @melancholydandelion @goosefilms @driftershunt @downthegenderriver @callsignstingray

[doyoulikethissong-poll]

Warren G featuring Nate Dogg - Regulate 1994

Warren G is an American rapper, record producer, and DJ known for his role in West Coast rap's 1990s ascent. A pioneer of G-funk, he attained mainstream success with the 1994 single "Regulate". He significantly helped Snoop Dogg's career during the latter's beginnings, also introducing him to Dr. Dre, who later signed Snoop Dogg. After the success of "Regulate", American singer and rapper Nate Dogg became a fixture in the West Coast hip hop genre, regularly working with Dr. Dre, Snoop Dogg, and Xzibit in the 1990s; his deep vocals became sought after for hooks, and he would expand to work with a larger variety of artists in the 2000s. As a featured artist, Nate charted 16 times on the Billboard Hot 100, and in 2003 reached number one via 50 Cent's "21 Questions". Nate Dogg also was notably featured on Dr. Dre's "The Next Episode" and Eminem's "'Till I Collapse" (poll #239). In 2015, Warren G released Regulate… G Funk Era, Part II, an EP featuring archived recordings of Nate Dogg, who died in 2011.

"Regulate" was released in the spring of 1994 as the first single on the soundtrack to the film Above the Rim and later Warren G's debut album, Regulate… G Funk Era. The album debuted at number 2 on the US Billboard 200 chart, selling 176,000 in its opening week. The single spent 18 weeks in the Top 40 of the Billboard Hot 100, with three weeks at number 2, and earned a Grammy nomination and a MTV Movie Award nomination. In 2017, "Regulate", certified platinum in 1994, went multi-platinum, propelled by digital downloads.

It employs a four-bar sample of the rhythm of Michael McDonald's song "I Keep Forgettin' (Every Time You're Near)", and also samples "Sign of the Times" by Bob James and "Let Me Ride" by Dr. Dre. "Regulate" starts with a read introduction referencing dialogue from the 1988 film Young Guns.

"Regulate" received a total of 75,7% yes votes! Previous Warren G polls: #20 "Prince Igor".

[rageserenity]

It's 2024. Are you still thinking about movieverse!Cherik? Because I am.

For the past several months, there's only been a very slow trickle of posts/fics in the xmcu cherik tag. Let's try to breathe some life back into this incredible pairing!

With one clear winner of my poll, here's thirty prompts for the thirty days of April. (This is a super chill, laid-back event---do these in any order, interpret them as loosely as you like! Create in any medium! Fic, art, gifs, meta, incoherent screaming about the otp…all winners in my book.)

The only rule here is to cherik too close to the sun. Alright. Here are the prompts.

Mutual Pining

Doesn't really even need elaboration! Write that horrifically slow slow-burn. Gif every time McAvoy made insane fuck me eyes on screen. Make a playlist of songs about impossible love.

2. Alternate Meetings

There are endless quotes about how these two complete each other in a way no one they'd met before or after ever did. How else could they have met?

3. Erik Has A Telepathy Kink

This is basically canon. Let my boy get freaky!

4. Canon Fix-It

All the times Fox fucked it up. There are endless options.

5. Hurt/Comfort

Put them in that Situation. Put them in that Blender. Break them apart and put them back together ❤️‍🩹

6. Canon Compliant

Draw that missing scene! Gif your favourite cherik moment!

7. Beach Divorce

Make it worse. Make it better. Show it to us exactly how it was. Break it down in a 3,000 word meta. Go wild!

8. Domestics

Sometimes you just want to see them doing normal couple things. Erik put the gun down.

9. Found Family

The real heart of x-men!

10. Time Travel

There are SO many possibilities here. Stick them in a time loop. Give them a chance to change their past.

11. AU

Love a good AU!

12. There Is Only One Bed

Had to get this one in here. What better way to amp up the tension?

13. Genosha

By some miracle, cherik actually did end up together at the end of 2019s trash bag disaster Dark Phoenix. We aren’t making a big enough deal about this.

14. Declaration(s) of Love

Who says it first? How do they say it and when? Have they said it…without saying it?

15. Jealousy

Need I say more.

16. Reunion

These two have absolutely no chill.

17. Soulmates

Classic prompt, had to get this in here too.

18. The DOFP Aircraft

The TENSION here. Break it down for me. How does Charles feel about his injury? How does Erik feel about his injury?

19. Gay Mutant Road Trip

You already know.

20. Body Swap

SO fun when people have superpowers.

21. First Kiss

When? How? Who initiated it?

22. The Mansion

Mansion!content is a genre of its own.

23. Conflicting Ideology

Give me your theses. Who’s right? Can they ever reconcile completely? Write a fic where it drives them apart.

24. Sebastian Shaw

A trope unto himself.

25. Team As Matchmaker

They had to have known something was going on, didn’t they?

26. Cooking

Charles deserves a good meal. Also, imagine Erik using his powers in the kitchen. The sheer domesticity…

27. Hurt No Comfort

Plenty of scope with these two 🥲

28. Growing Old Together

Giving Sirs Ian Mckellan and Patrick Stewart their props as well!

29. Making Up

*pushes chess board across the table* sorry babe

30. Charles Xavier Did More For Mutants Than You'll Ever Know

Rising to each other’s defense. Only I can insult this man.

I will be tracking #revivecherik to reblog stuff! Here’s a fic collection for the same. Let’s get this ball rolling! Please feel free to send me an ask if you’ve got anything to say! And most importantly, let’s all have fun 😁

*I know a few of you preferred something like a gift exchange because of the commitment factor—I’m super down to organise a tiny one for the handful of us! If this promptathon doesn’t flop horribly, we can hopefully do a whole bunch of stuff :)

If you read this post all the way through, please reblog for reach! Thank you! Hoping you participate come April.

Shoutout to @inmymagnetoera for reaching out and helping with this!

[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

 — 

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.'"]

[sang-i-fetge]

List of Jason Todd/Red Hood's weapons/gadgets/touys

Note: This is mostly from comics written by Winick, as I refuse to acknowledge most of n52. Feel free to add more, though!

Note2: This post was originally formatted in a different way, as I foolishly forgot about the image limit.

Blades

1— His iconic dagger!

Can cut through stone, and most of Batman's gear. It's been heavily debated what kind of knife it is; wether a kris, a parrying dagger, or a third secret thing.

2— The blades he gives Mia to defend herself!

I'm not sure what kind of blade they are, they vaguely look like wakizashis? Their size varies from panel to panel so idk😔

3— The katana for the 'duel' with Oliver!

4— And to link with the next section, the exploding katana!

Yes, it's a katana that explodes. Jason baits Oliver into holding it.

Explosives

— First of all, he blows up many many things and it's not specified what exactly he uses. So the unspecified explosives that only appear as a cool fireball panel get a bullet point.

5— The jumble of explosives in the Final Confrontation™️, we can see some dynamite, C4...

6— Bomb in a crate

7— Small bomb. Not lethal!

8— Bigger bomb. Yes lethal.

9— Continuing with this absolute icon: the bomb under the Batmobile (should I capitalize that?)

10— Small Rocket, used against Brick

11— Grenade?

12— Small, cylinder-shaped explosives. Detonated upon impact?

13— Small explosive that attaches to flat surfaces, used against Dr Freeze

14— Grenade.

15— Molotov Cocktail

16— Enough C4 to destroy a whole building, modded so it explodes if its temperature reaches one point, countering Batman's method of freezing bombs.

17— My absolute favorite, the exploding helmet!

Even if it's listed under 'explosives', it's also an important piece of technology in the Red Hood's arsenal.

Firearms

18, 19— The guns in the wall from Annual #25, there's surely more.

20— Machine guns hidden in crates!

21— Machine guns hidden in cars!

22— Rocket launcher, used against Black Mask

23— Even more hidden machine guns! This time in an electricity pole.

24— Machine gun (also hidden, but surprisingly not attached to anything)

25— Handgun👍

26— AK-47, you know the panel from where it's from

27— Submachine guns, I think 🙂

28— When out of ammo he uses his guns as blunt weapons, which I wanted to note

Tasers

29— The nazi-killing taser

30— The reason for the creation of this post! The grapple line taser! Attach it to a grapple line and it will shock whoever is connected to it. Noticed it in a reread of utrh and needed people to see it

31— Bonus: the bat-symbol taser. Iconic enough to be here.

Tech & Surveillance

32— Monitor and microphone?

33, 34— cameras :)

35— thing to see the feed of the cameras

36, 37— phones :)

38— his little tech den in #650

39, 40— computers :)

41— whatever this thing is

42— The surveillance device that looks like he taped a canon camera to his face

43— Wiretaps!

44— Bugs!

He also has his evil lair in B&R2009 bugged.

Miscellaneous

45— Does his crowbar count

46— smoke bomb!!

47— Injectable adrenaline. He just has that in his utility belt.

48— His batmobile-evade suit.

49— Is saying his belt buckle mean

50— Unspecified poison! Goodbye Egon

51— This thing that attaches to its target and launches them off

Not pictured:

The fancy weapon dressing he gives onyx to patch up the shoulder wound he inflicted (I forgot to screenshot 💔)

Also, he has this whole hq-ish thing in Annual #25

(Edit: That rectangle in the gun wall kinda looks like an anti-drone gun now that I think abt it)

It has a murder board, which I think is cute.