What if the clones DO have a concept of incestuous clone relationships, but itās if itās your BATCHMATE thatās nasty, but just some brother from the next battalion over? Everybodyās done that! Who cares!
(the next battalion over is the 501st, EVERYONE has done that guy, his name is Bicycle, he is now my most treasured OC)
People have been misunderstanding this post. Let me say very clearly this is not me ājustifying clonecest.ā I do not need to justify this fictional and harmless thing that I enjoy. I will ship a brother with his batchmate in a heartbeat and feel great about it. This is a funny post because oh boy are people uptight these days and I just wanted to talk about my boy Bicycle, slut of the Five Oh First. Thank you for your time.
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
ā Live Streamingā Interactive Chatā Private Showsā HD Qualityā Free Actions
Free to watch ⢠No registration required ⢠HD streaming
Thereās an emotion only unlocked when you live in a house with multiple stories. I call it āthe stair emotionā and itās when you realize the object you need is on the other side of yet another trip up and down those goddamn stairs. Itās the closest I get to transcending the desire for material goods. Maybe I donāt need that notebook. Maybe I donāt need anything.
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
ā Live Streamingā Interactive Chatā Private Showsā HD Qualityā Free Actions
Free to watch ⢠No registration required ⢠HD streaming
TODAY (Jul 11), Iāll be at the Idler Festival in LONDON.
Here's an irony: the "gig economy" is a statistical black hole. Workers, customers and regulators know very little about the most basic aspects of it: how much workers get paid, for example, or much unpaid time on the clock a worker puts in before they get a job from the app.
The reason this is ironic is that the "gig economy" is dominated by a handful of massive, data-driven firms that know the precise, up-to-the-second answer to these questions. The problem is that they won't share the data. Of course, workers and customers have the data, too, but our data is widely diffused, with each worker and each customer only representing a single, infinitesimal pixel in this massive picture.
Most of our industry-wide figures about the sector come from painstaking, expensive survey work. The expense and effort involved in conducting this analysis means that the public's understanding of the gig companies' business is fragmentary and thin.
But every now and again, we get a flashbulb glimpse of the full picture. One of those glimpses was captured by David Weil, the former labor standards boss at the US Department of Labor. In 2024, the Massachusetts Attorney General sued Uber over worker misclassification, with Weil serving as an expert witness, who was able to access the raw data on Uber's business operations.
In a new American Prospect longread called "The Dangerous Myth of Flexibility," Weil builds on the public record developed in the case to demolish the central myth of the gigwork companies: that they enter into a mutually beneficial arrangement with their workers by offering "flexibility" that lets workers "choose work that fits the rhythms of their lives, not the other way around":
This quote comes from Tony West, the Uber executive who has led the company's efforts to formalize its worker misclassification program, notably California's Prop 22, a $225m statewide campaign that overturned the state's landmark gig work standards. West is also Kamala Harris's brother-in-law, and he served as her campaign's corporate liaison, senior strategist and economic policy advisor.
On its face, West's statement sounds reasonable, and most of us have heard a version of it, possibly even from an Uber driver. But what Uber calls "flexibility" is really a way for the company to offload its operational risks onto its drivers.
Anyone who runs a business has to manage a key operational risk: staffing levels. A restaurateur who doesn't schedule enough cooks, bussers and servers might have to turn away business at the door if there's a rush. But if the restaurateur schedules too many people for a shift, they'll end up paying for those workers to stand around scrolling Tiktok.
In America, Congress and state legislatures have created a system that allows restaurateurs to transfer this risk onto their employees: the "tipped minimum wage." Federally, the minimum wage for tipped employees is only $2.13/hour, with the caveat that employees are obliged to "top up" their workers' pay if the tips from their shift don't add up to $7.25/hour. So if you work five hours and don't wait on a single table, your boss has to pay you $36.25 ($7.25/hour * 5 hours). But if you have a busy shift and you make $40 in tips, your boss only has to pay you $10.65 ($2.13 * 5 ā the tipped minimum).
This is a transfer of risk from bosses to workers. The boss can schedule extra servers and offload most of their wages to diners who come through the doors. If your boss overestimates the amount of business, much of the cost of that miscalculation comes out of your paycheck.
This is quite a sweet deal for bosses. After all, servers have virtually no control over the amount of business a restaurant attracts. It's the boss, not the server, who decides where the restaurant will be, which hours it will keep, which food it will serve, how much the food costs, what advertisements to run, and where and when to run them. The boss controls the decor, staff attire and the music. They make the decisions, and workers pay the price if they decide poorly.
For most businesses, workers are less exposed to risks from their boss's strategic errors. If your boss screws up, you might see a lower annual bonus, or take a career hit thanks to the bad company's presence on your CV. Of course, if your boss really messes up they might lay you off or go out of business altogether, but it's a rare business that gets to externalize its risks onto its workers on a shift-by-shift basis the way restaurants get to.
But as sweet as restaurateurs have it, that's nothing compared to the incredible deal that gig platforms get. Companies like Uber and Lyft get to shift nearly all their risk to their workers, and then insist that they're doing workers a favor by offering them "flexibility." Like a restaurateur, Uber and Lyft control all the mechanisms by which the number of riders is set. They decide how to advertise and how to price their rides. When a driver signs on and makes themselves available ā at no charge ā to Uber, it is the company's actions, not the driver's, that determine whether that driver gets a job, and how much they'll get paid.
Uber and Lyft claim that drivers have control, too ā when (if) they're offered a job, they get to decide whether to take it. This is true, but it's more complicated than that. Drivers get about 15 seconds (!) to decide whether to accept a job, which means they have 15 seconds to calculate the mileage and time-based rate on offer, all while operating a vehicle in traffic. Drivers who accept lowball offers risk having their base pay permanently eroded through "algorithmic wage discrimination," which is when the gig platforms infer that workers who accept very low wages are economically desperate and can be offered even lower wages in the future:
But workers can't simply refuse offers and wait for the wage on offer to increase. That increase may happen, but if a driver is too picky, the platform will punish them for turning down too many offers by excluding them from future opportunities. If this happens often enough, the driver may end up broke enough to start accepting those lowballs, triggering the inexorable downward trajectory of their expected earnings.
This is "flexibility," but mostly it's flexibility for Uber, not for drivers. Uber controls when a driver gets paid, and they control the data about that payment. This allows Uber to claim to be paying well north of minimum wage, while drivers average less than $2.50/hour. Uber exploits its information asymmetry to publish only the numerator (the amount a driver makes when a passenger is in the car) while hiding the denominator (how many hours it takes for Uber to put a passenger in that car):
Uber has perfected a system of algorithmic pricing that allows it to dangle just enough money in front of drivers to maximize their number on the road, irrespective of how many riders are looking for cars. The fact that they have all the information (while drivers have none) allows them to extract vast amounts of totally unpaid labor from those drivers. And then, once a passenger gets in the car, Uber's informational systems let it pay that driver the absolute minimum they will accept for the ride.
Of course, it works the same way for passengers, each of whom is offered a different price for the same rides, based on the company's surveillance data and its realtime calculations about how much the rider is willing to pay. When Uber launched, driver pay and passenger fares were linked (the same way a server's tips and the cost of a meal are linked). Today, these are fully decoupled. Uber runs a kind of cod-Marxist operation where workers are paid according to their desperation, and passengers are gouged according to their ability to pay:
This works so well (for Uber) that Uber has launched a side hustle selling algorithmic pricing and algorithmic wage discrimination systems to companies in other sectors, so expect this arrangement to infect ever-wider swathes of the economy:
(And this is neither here nor there, but holy shit, is Uber's investor relations site seriously serving ASPX pages in 2026?! Hey Khosrowshahi, the DOJ called and it wants its Clinton-era antitrust evidence back!)
Back to algorithmic pricing: this opaque, take-it-or-leave-it algorithmic pricing arrangement sets Uber apart from other platforms where sellers offer temporary use of their property to buyers. As Weil writes, at least Airbnb hosts get to override the nightly rate suggested by the platform (though I'd add that the platforms will downrank and bury people who resist their suggestions).
As Weil points out, even if Uber had to pay the minimum wage and assume other operational risks associated with running a business, they'd still have access to these algorithmic tools, albeit with different parameters. Rather than setting the wage floor for drivers at $0/hour, they'd have to pay $7.25/hour (the federal minimum wage, or more, depending on the state). This would force the company to refuse shifts to drivers when there were enough workers on the road to handle demand, but drivers would benefit from this arrangement ā rather than driving around for a shift, burning gas and putting wear on your car without getting paid, Uber would just tell you to stay home.
Uber could try to offload those risks onto passengers, but remember, Uber is already charging riders a personalized price based on massive troves of surveillance data that is continuously re-analyzed to guess the largest sum you're willing to pay for any given ride. You're already paying the highest price Uber can set for you, in other words.
Weil has been in many forums ā including that Massachusetts courtroom ā where Uber touted its "flexibility" as a benefit to drivers. But as he shows, Uber could offer all the same flexibility to drivers without the downside risk of driving around for hours without earning a dime. Sure, forcing Uber and Lyft to extend rights and protections that every employee gets would raise their costs ā but "the same is true for any company having to comply with employment law and work protections."
Outside of the US, these companies are being forced to shift the risk from their workers' backs to their own balance sheets. As Weil writes, the UN's International Labor Organization has set binding labor standards for gig companies, called Convention 193, "Decent Work in the Platform Economy":
The US government is pulling out all the stops to prevent these standards from being applied to US gig companies, even abroad. Trump's labor boss Keith Sonderling told the world that the US government "will not sit on the sidelines while some foreign governments push to hamper American innovation in the gig economy worldwide":
But, as Weil says, this isn't about innovation, flexibility or AI. It's about gig companies changing the distributional outcome of whole sectors, to shift money from workers to investors.
The rest of the world has its own ideas. In Switzerland, the Supreme Court found that gig companies' businesses were illegal and ordered them to extend normal labor protections to gig workers. Naturally, the gig companies just ignored the law and continued to screw those workers. Gig workers, as noted, are diffused. They don't work in the same place. They have no way to find out who else works for the same boss as they do. The same factors that keep us from gathering stats on gig work also keeps gig workers from comparing notes on how they're getting shafted.
What's a labor organizer to do? The Swiss labor union Syndicom came up with an ingenious solution. They partnered with a popular, pro-union pizza restaurant, listed it on the delivery platforms, and then placed orders for tons of pizzas through the scofflaw food-delivery platforms. They transformed the pizzeria into a pop-up union labor hub, and had an organizing conversation with every rider the company dispatched to the restaurant:
https://vimeo.com/1203473793
This is deliciously ingenious, and the labor organizing need not stop there. Companies like Para have shown how, by jailbreaking the apps used by gig workers, they can allow those workers to comparison shop for the best wage. Rather than getting 15 seconds while navigating traffic to decide whether a job is worth taking, drivers and riders could use a "counter-app" that evaluates all the offers on all the platforms and coordinates with other workers to mass-reject lowball offers:
The only problem is the "anticircumvention" laws that criminalize this kind of reverse-engineering and modifications of apps. These laws make it a literal crime to change how an app running on your own phone works. These laws were invented in America, with 1998's Digital Millennium Copyright Act, but in the ensuing years, the US Trade Rep has used the threat of tariffs to force every country in the world to adopt their own anticircumvention laws. By caving into US bullying, all of America's trading partners have left their workers and consumers vulnerable to technological surveillance, manipulation and price-gouging, to the great benefit of the US tech companies that have fused with the Trump regime.
This is the hidden silver lining to Trump's lunatic tariffs: they take away the threat that kept all those US-protecting foreign IP laws in force. When someone threatens to burn your house down unless you do as you're told, and then they burn your house down anyway, you really don't have to keep complying:
The possibilities for counterapps in gig work are endless. In Indonesia, gig rider co-ops commission "Tuyul" apps that mod their dispatch apps in ways small (upsizing the font) and large (spoofing the GPS):
In his article, Weil cites a study showing that customers for gig apps tend not to comparison shop ā once you choose your default taxi-hailing app, that becomes your go-to. But with counter-apps, your default could be a price-comparison app that bids out your job to all the platforms and chooses the cheapest one, forcing the gig companies to compete with each other:
The platforms like to pitch themselves as "frictionless," but the reality is that they don't reduce friction so much as reallocate it. Because they control the technology, because the law makes it a literal crime to wrestle that control away, they can shift all the friction from their side of the ledger to yours, whether you're a worker or a customer:
Tony West isn't lying when he says Uber values flexibility ā they value their flexibility, which arises out of the constraints (technical, legal) they impose on us: the drivers and passengers.
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:
What's a labor organizer to do? The Swiss labor union Syndicom came up with an ingenious solution. They partnered with a popular, pro-union pizza restaurant, listed it on the delivery platforms, and then placed orders for tons of pizzas through the scofflaw food-delivery platforms. They transformed the pizzeria into a pop-up union labor hub, and had an organizing conversation with every rider the company dispatched to the restaurant
I've noticed the same disconnect over terms (to a much lesser degree, although this absolutely overlaps with the food service work described earlier on) in standard job postings, too - the employers that offer "flexible hours" often counterintuitively mean that they have irregular hours that they require you to work. You may only get paid for working 25 hours a week, but you need to keep 40+ hours of that week available for possible shift scheduling.
In that sense, the blatant lie of "flexible hours" isn't news so much as a cross-industry standard weasel word - which I don't say in order to absolve Lyft/Uber so much as to indict everyone else.
This may have changed in the last few years btw - but I used to price-compare Lyft and Uber, since most drivers I got used both platforms anyway. Lyft would always be cheaper but would tack on a bunch of non negotiable fees at the end, so the prices turned out to at least seem comparable. If they still do that, then that would be another reason consumers aren't comparison-shopping.
Thank you so much for posting this in full here with embedded source links.
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
ā Live Streamingā Interactive Chatā Private Showsā HD Qualityā Free Actions
Free to watch ⢠No registration required ⢠HD streaming
"Six weeks into the term, I assigned my rhetoric and writing students a 20-page article. It was the same length I had assigned for five years and the same length I had read without complaint as an undergraduate a decade ago. Not one student finished it.
When I asked why, a student answered honestly: It was too long, and she kept losing track of what the paper was about. This was not a remedial class: These were students who had cleared the admissions process and written essays good enough to get them here. Yet a routine academic reading assignment had defeated them.
Every generation of professors has complained that their students cannot read. The lament is usually overblown, but data have caught up to anecdote, and what I am seeing in my classroom is no longer a hunch. There is a measurable, generational collapse in sustained reading and writing, and the academy is responding to it with improvisation and exhaustion rather than the structural overhaul it requires.
In February 2024, Adam Kotsko, who teaches in the Shimer Great Books School at North Central College, wrote in Slate that students who once handled 30 pages of reading per class meeting now seem āintimidated by anything over 10 pages and seem to walk away from readings of as little as 20 pages with no real understanding.ā Crucially, he added that this is ānot a matter of laziness on the part of the studentsā but of underlying skills they were never given a chance to build.
The Chronicle of Higher Educationās 2024 investigation found the same pattern across institutions as different as the Stevens Institute of Technology and Wellesley College, where the average SAT exceeds 1400. Nicholaus Gutierrez, an assistant professor at Wellesley, told The Chronicle that the baseline for what students consider a reasonable amount of work has dropped so noticeably that he has cut his readings accordingly; a 750-word essay now strikes many students as long. At Stevens, the science and technology studies associate professor Theresa MacPhail described following the mantra of āmeet your students where they areā for so long that she has begun to feel ālike a cruise director organizing games of shuffleboard.ā
Worse, the national data tell the same story in colder language. On the 2011 National Assessment of Educational Progress (NAEP) writing assessment, which is the most recent comprehensive writing benchmark, only 24 percent of 12th graders reached the Proficient level, and just 3 percent reached Advanced; another 21 percent scored below Basic. The reading side of the ledger is worse, and getting worse fast: The 2024 NAEP results released in September 2025 show 12th-grade reading scores at the lowest level recorded since the assessment began in 1992. Thirty-two percent of 12th graders now score below NAEP Basic in reading, meaning that, in the assessmentās own language, they likely ācannot draw general conclusions based on concepts presented explicitly in a text.ā And yet more than half of these same seniors reported being accepted to a four-year college. That last sentence is the whole problem in one line: We are admitting a cohort that cannot read at a college level and are pretending otherwise.
Why is this happening? One reason, of course, is smartphones.
I came into teaching as a skeptic of the anti-smartphone argument: I had a phone in my pocket throughout high school and college in the 2010s, and I read long books anyway. I now think I was wrong, because the neuroscience has caught up. In a 2017 paper, Adrian F. Ward and colleagues at the University of Texas at Austinās McCombs School of Business showed that the mere presence of a participantās smartphone ā whether that be face down, powered off, untouched, or across the desk out of vision ā measurably reduces available working memory and fluid intelligence on cognitive tests, with the largest effects on the most phone-dependent users. A 2022 study by Motoyasu Honma and colleagues at Japanās Showa University used near-infrared spectroscopy to compare reading on a smartphone with reading the same passage on paper, and found that smartphone reading produced overactivity in the prefrontal cortex, suppressed sigh generation, and led to general lower comprehension scores; the authors argued that the sigh inhibition and prefrontal overload were causally linked to the comprehension decline.
So when a student tells me they ākept losing trackā of a 20-page article, I have to acknowledge that they may be describing a measurable neurological condition. The neural pathways that support sustained attention are built by use, and they atrophy without it. Your body is a use-it-or-lose-it system, and the brain is no exception.
Another reason for the decline in student reading capability is increasing reliance on generative AI. In June 2025, Nataliya Kosmyna and colleagues at the MIT Media Lab released a preprint titled āYour Brain on ChatGPT.ā They divided 54 participants into three groups writing SAT-style essays ā one using ChatGPT, the second group using a search engine, the last group using nothing ā and monitored brain activity with a 32-channel EEG. The ChatGPT group showed the lowest neural connectivity of the three, with up to 55 percent reduced connectivity compared with the brain-only group, and āconsistently underperformed at neural, linguistic, and behavioral levels.ā Eighty-three percent of LLM users could not quote a single line from essays they had written minutes earlier. When the LLM group was forced to write without AI in a follow-up session, their brain activity did not bounce back to baseline; the researchers coined the term ācognitive debtā for the lingering deficit.
This is the first neurophysiological evidence that early reliance on LLMs measurably alters the brainās engagement with writing tasks, and it is consistent with what those of us in front of classrooms are watching happen in real time. When I assign analysis, I am not trying to extract a polished product; I am trying to put the studentās mind through resistance in order to make it stronger. Offloading the struggle to a chatbot does not āfree students up for higher-order work.ā It deprives them of building the strength to do any substantial cognitive work at all.
There is a final factor that is contributing to this decline in reading skills, and that is that the students arriving in my classroom today are the first cohort to have experienced Common Core-influenced reading instruction across the entirety of their Kā12 schooling. Whatever the standardsā original intent, the on-the-ground implementation in many districts replaced sustained reading with the practice of pulling āevidenceā from disconnected short passages, the same format used on the standardized tests that increasingly determine school funding. The education scholar Natalie Wexler, among others, has documented this pivot in detail: Students drilled on āfinding the main ideaā in two-paragraph excerpts never build the stamina or background knowledge that longform reading requires. The pandemic then added fuel to a fire that was already burning. NAEP scores for 13-year-olds dropped sharply in 2022 and have not recovered. A 2023 EdWeek survey found that 24 percent of secondary-school administrators described pandemic learning loss in English and language arts as āsevere or very severe.ā
In July 2025, the journalist Mary Harrington argued in The New York Times that āthinking is becoming a luxury good.ā The ability to read deeply and reason at length is fragmenting along class lines as ultra-processed digital media replaces text in everyday life, much as ultra-processed food has replaced cooking. Her longer treatment of the subject in First Things makes the more provocative case that we are witnessing the end of print culture itself, and with it the end of the cognitive substrate on which modern liberal democracy was built.
I see this stratification in the classroom and on the page every week. My students from districts that protected sustained reading through small class sizes, strict phone policies, and faculty who refused to teach to the test all arrive with their attention relatively intact. My students from districts that surrendered to devices and standardized testing arrive cognitively winded. A democracy that requires a literate electorate is now training one fraction of that electorate out of literacy while marketing to the other a ādeep workā lifestyle as a luxury good. The students who cannot read a 20-page article today are the voters who will not be able to read a bill, or the jurors who cannot follow a closing argument, tomorrow.
I do what I can in my own classroom to address the problems. I break 20-page articles into two halves and assign the first half with explicit analytical tasks. I require exploratory writing before formal drafts. I model (visibly, on the board) how to track an argument across pages or distinguish a sourceās claim from my own analysis. I make structured peer review explicit, because the workshop format I used to take for granted now collapses into āthis is goodā and āmaybe add more detailsā the moment I step back.
But I want to be plain about the limits of what an individual instructor can do, and all of these solutions have costs. Scaffolding a 20-page article into halves compromises the integrity of the argument I am asking students to engage, just as modeling note-taking in a credit-bearing rhetoric course is using a college slot to teach a middle-school skill. None of the syllabi I teach are designed to deliver this type of cognitive rehabilitation, and pretending otherwise has produced credential inflation. We cannot keep conferring degrees on students who cannot do what the degree is supposed to certify.
Iām afraid I donāt have answers. I do, however, have some questions that may point us in the right direction. If higher education is going to respond to the reading crisis as a structural problem rather than a private burden carried by composition instructors and adjuncts, it has to stop avoiding the following questions: If a majority of incoming students cannot read at a level the curriculum requires, are we admitting students we cannot serve, or offering a curriculum we cannot provide?
Why are first-year writing and reading-intensive general-education courses still the most adjunctified, lowest-paid, highest-load corner of the university, at the precise moment when their work has become the most important work the institution does? What is the responsible institutional response for AI usage: Is it a syllabus statement, or a sequencing principle that requires students to demonstrate the cognitive work themselves before AI assistance is permitted?
Why are most college classrooms still phone-permissive by default? Kā12 districts from Florida to California are now banning phones bell to bell; higher education has somehow lagged behind the public schools. Universities benefit from a pipeline they did not build and refuse to repair. What would it mean for a university system to invest seriously in the reading instruction happening in the high schools that feed it, rather than treating remediation as something to be quietly outsourced to first-year composition instructors?
The thing I am no longer willing to do is pretend this is a temporary adjustment period, or that āstudents will adapt.ā They will not adapt on their own. The conditions that produced this collapse are still in place: the phones, the algorithmic feeds, the test-prep excerpts, staffing models that load the reading-intensive work onto the most precarious faculty, and now the chatbots that finish studentsā sentences before theyāve even begun to think of them. If we want literate citizens, we will have to rebuild the conditions for literacy deliberately, against the grain of every incentive currently pointed the other way. I know the academy has the will to do that. It also has the obligation."
ā Tyler Jagt, 1 June 2026, "My Students Canāt Read"
The generational collapse in literacy is measurable, persistent, and likely to get worse.
I want to be very clear on this: it is not just dependence on smartphones and phones causing mental atrophy. It's that for decades we have taught Three Cueing System as a way to read, and while we are now beginning to correct, it is catching up with us. The reliance on smartphones and short form video are in part a result of illiteracy, not necessarily a cause of it, because we have failed to give students the tools to actually read but also paired it with the belief that they can read. They do not seek remedial reading help but blame the materials for being unclear or too difficult, when the fundamental problem is that the more complex the text, the less functional the three cueing system is. They are often quite literally guessing what the text says by searching for words they recognize (or think they recognize but cannot verify) and texts rapidly become impenetrable nonsense. Of course people will reach for their phones when 90% of the text they encounter in their daily lives and schooling is not accessible to them!
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
ā Live Streamingā Interactive Chatā Private Showsā HD Qualityā Free Actions
Free to watch ⢠No registration required ⢠HD streaming