(Roughly) Daily

Posts Tagged ‘enshittification’

“And what is good, Phaedrus, and what is not good”*…

Keyana Sapp maintains The Brand Ledger…

Tracking the brands that got worse on purpose — and the ones that didn’t.

The Brand Ledger tracks 397 brands, from the tools in your garage to the pans in your kitchen. Who owns them, what they used to be, whether they’re still worth buying. Updated as things change…

On his blog, Worse on Purpose, he considers what quality is and how it is degraded. He begins with the story of his (now 15-year-old) Gibson Les Paul Studio guitar (a la the one pictured above), an exemplar, for Sapp, of “quality”…

… Everyone owns something like this: the old pair of boots, the battered wrenches, grandma’s cast iron pan, the 400,000 mile truck that will not die, etc…

Objects that wear in instead of wearing out. The ones whose quality you can feel the moment you pick them up.

Now try to explain what it is you feel.

Some quality lives in the guitar, the boots and the pan. You are able to detect it intuitively within seconds. But try to put to words precisely what it is you detect and you’ll discover a dilemma.

Your first instinct is to point at the materials. It’s mahogany. It has real humbuckers, a set neck, the best nitro lacquer. But that answer collapses the moment you notice the description fits every guitar on that wall. Two instruments leave the same factory in the same month, matching spec for spec down the line, and one sings while the other sounds weak. Every guitarist knows this, which is why nobody buys the model, they buy the individual guitar, only after noodling on it for a while. The spec sheet names everything the guitar is made of, and whatever quality is, it is not on the list of materials.

Fall back on “I just like it” and you sell the knowledge short, because standing in that store I wasn’t just voicing an arbitrary preference, I was detecting something. “This is a thing of quality. It is the one I want.” Fifteen years of ownership keep proving my instinct that day right.

That gap, between knowing good on contact and being able to say what good is, is one of the oldest open problems in Western philosophy. It is also the fundamental question this newsletter is attempting to answer.

Every investigation I’ve published documents the same story: a product stripped of what made it good while everything a shopper can check stayed intact. Same logo, same spec sheet, same four and a half stars, same price or higher. What got swapped out, the steel gauge, the stitch count and the years of service life, sits in the parts you can’t check from the aisle.

That gap between what you can verify and what actually matters is the whole game, for them and for you. They use it to slowly diminish the quality of the products you once loved without tripping an alarm. You can use it to watch the theft happen…

… In the late 1950s, a rhetoric instructor at Montana State College named Robert Pirsig noticed that his contract required him to teach “quality”. He asked around the faculty at the university and discovered that nobody could tell him what the word meant.

Teachers had been passing and failing students on the basis of quality for centuries without a definition. The problem ate at him for fifteen years, ultimately driving him to insanity. Pirsig’s best thinking on the nature of quality was eventually set down in Zen and the Art of Motorcycle Maintenance. It stands alone as the most formative book I have ever read.

To illustrate the problem, Pirsig relays an experiment he ran with his students. He read four student papers aloud and had everyone rank them by quality on slips of paper. He ranked them himself, collected the slips, tallied the results on the blackboard, and set his own ranking next to the class average. His ranking and the students’ matched almost every time, across classes and semesters. A room full of undergraduates who could not define quality independently agreed on where it lived and where it didn’t.

So Pirsig landed on this problem statement:

“Quality is a characteristic of thought and statement that is recognized by a nonthinking process. Because definitions are a product of rigid, formal thinking, quality cannot be defined.”

Then he added the sentence that should be nailed above the door of every product team in America.

“Even though Quality cannot be defined, you know what Quality is.”

When colleagues demanded proof that an undefinable thing existed at all, he offered this subtraction:

Pull quality out of the world and street noise ranks with symphonies, slop ranks with dinner, and no made thing is worth choosing over any other. A world without quality would still function. You just wouldn’t want to live in it.

Similar threads have appeared across disciplines.

The architect Christopher Alexander encountered the same problem from a different angle. A career spent asking why some buildings feel alive and others feel dead ended in the same non-definition, a quality that in his words “is objective and precise, but cannot be named.”

What Alexander did about it is the useful part. If the thing itself could not be written down, the places where it reliably appears could be, so he and his collaborators catalogued 253 of them, pulled from centuries of buildings people love, and handed architects and builders a working method for producing quality in buildings and towns.

That is what every craft tradition is: a transmission system for the unnameable, carried in people rather than paper. It is why apprenticeship survives every technology invented to replace it: the judgment that produces quality transfers only by demonstration and correction, through thousands of supervised repetitions across years, from a person who has it to a person who does not yet.

That fact cuts both ways. The judgment that can only be carried in people is also the one thing no spreadsheet can measure.

Whatever resists definition resists measurement. Whatever resists measurement vanishes from the dashboard. And in a company run from dashboards, what vanishes from the dashboard vanishes altogether.

That blindness is not an accident of modern business. It was designed, it has an inventor, and the tragedy is that it was invented to do the opposite job. During World War II, a General Electric engineer named Lawrence Miles was tasked with scaling turbo-supercharger production for B-24 bombers from 50 a week to 1,000 while steel, copper and nickel were rationed to hell. He hunted substitute materials, and noticed the surprising fact that substitutes often made the part cheaper and better at the same time. In 1947 he formalized the method and called it value analysis. Identify the function a part serves, then find the best possible way to serve that function. Function first, cost second. Through this process, Miles built a machine for producing quality cheaper.

The method worked so well it quickly became universal. The Navy adopted it in the 1950s and renamed it value engineering. The Pentagon eventually wrote it into federal procurement rules. Miles’s 1961 handbook was translated into a dozen languages, and within a generation nearly every large manufacturer ran a version of the program. Continuous, itemized, never-ending review of everything a product is made of, scored in dollars saved. That framework is now as ordinary as accounting.

Unfortunately, his descendants now run the machine backward. The modern cost-down program starts from the spec sheet and asks what can be removed without a statistically significant change in buyer perception this quarter. The thinner steel passes the test. The glued joint passes. The plastic gear where the brass one was, the foam that loses a third of its resilience in two years etc…

Each change is approved in isolation, and each is too small for any buyer to notice on its own. That is the trick. No test compares the product to what it was ten years ago. Each product version is measured against last quarter’s, comes back as “no detectable difference,” and ships. So the degradation compounds beneath the threshold of every individual measurement, invisible at each step and enormous in total.

It is by this mechanism that quality, the unmeasurable property, erodes as a company places a greater insistence on measurement.

When we ask what quality actually is, only two answers exist. Either quality is objective, meaning a physical property located in the object itself. Or quality is subjective, meaning an opinion located in the person judging.

Take the first answer seriously. If quality is a physical property of the object, then instruments should detect it. We can measure a guitar’s weight, its neck relief, its fret height, its finish thickness down to the micron. No instrument has ever measured whether it is good. If quality sat inside the object the way mass sits inside the object, quality control would be a solved engineering problem and a factory could certify goodness the same way it certifies tolerances.

Now take the second answer seriously. If quality is only an opinion, then a quality judgment reports a fact about the judge and no fact about the object. Two things follow. First, quality judgments should distribute evenly, because nothing in the object itself would constrain them. Second, no quality judgment could ever be right or wrong, because there would be nothing objective in the world for it to be right about.

Ultimately, both answers fail.

Pirsig’s blackboard example demonstrates the failure of the first: his classes converged on the same rankings, semester after semester, with no criteria handed to them. They agreed independently on some notion of quality, recognized it, but could not explain it.

The second fails on an experience everyone reading this has had: being wrong about quality. Nobody has ever been wrong about liking vanilla, because a preference claims nothing factual about the world. A quality judgment claims plenty. When I decided that Les Paul was good, I was predicting that the neck would stay straight, the frets would survive the abuse, and the guitar would still be worth reaching for in fifteen years. Every one of those predictions could have failed, and with other guitars, for other players, they have. Boots that looked right have come apart in one winter, and every buyer of a bad pair has said the sentence that pure subjectivism cannot explain: “I was wrong about those boots.”

So if quality is not an objective property, since no instruments can detect it, and it is not just a subjective opinion because we are able to make predictions about the quality of an object that are verified in time, then what is it?

Pirsig’s answer was that the question itself smuggles in the false assumption that quality must be located in one place or the other. He argued instead that quality is a feature of the relationship between the person and the object. Quality occurs when a person and a thing meet in use: the weight settling onto the shoulder, the wrench loaded to its limit and holding. Before they meet there is only a guitar and a player. Quality exists in the connection.

Apply this idea in the realm of consumer products, and the slow decline of quality starts making sense.

Every measurement a company takes lands on one side of the objective/subjective divide or the other. Spec sheets, tolerances, and materials testing measure the object alone. Surveys, star ratings, and focus groups measure opinions alone. And they sample the opinion at the wrong moment. A star rating gets filed in the first week of ownership, while the surface still shines, and the failures arrive in year three, when almost nobody returns to amend it.

Nothing measures the relationship, because the relationship only exists in use, in the hand, on the road and across years. So when quality drains out of a product, it drains from the one place no instrument points at. Both sets of numbers can hold perfectly steady while the thing between them disappears. That is how a product gets worse without a single metric moving. That is also how the people doing it stay convinced that nothing was lost.

What produced quality in the first place was care. Pirsig again: “Care and Quality are internal and external aspects of the same thing. A person who sees Quality and feels it as he works is a person who cares.”

A good object is a fossil record of care. Thousands of small selections made by people who could tell the good facts from the bad ones and picked the good, even when not doing so was cheaper or easier. The extra ounce of brass, the second coat of lacquer and the tolerance held a hair tighter than the drawing demanded. Every one of those selections survives for exactly one reason, which is that somebody with power over the object gave a shit.

That is why extraction works the way it does. When outside capital buys a great brand, nobody issues a decree that the product shall now be garbage. Instead, the people who previously made those thousands of selections either get laid off, retired out, or reorged into irrelevance, and the decisions migrate to a floor in an office building where nobody has ever actually used the product. Care cannot be exercised at that distance. Quality follows care out of the building, and the whole thing happens without any individual ever choosing badness directly. Absence does the job on its own…

…

… There are two ways to make money on quality. You can make a thing so good that people pay for it, keep it, and hand your name to their kids. That is the Miles road: quality found cheaper, profit as the receipt for care. Or you can buy the name after the caring is done, spend down four generations of accumulated trust, and be gone before anyone’s memory catches up…

Eminently worth reading in full. An ode to Pirsig: “On Quality,” from @worseonpurpose.bsky.social.

(Image above: source)

* Plato’s Phaedrus (which means, as Sapp observes, that the question of quality is at least twenty-four centuries old)

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As we interrogate enshittification, we might recall that it was on this date in 1908 that Buick Motor Company head William Crapo Durant incorporated General Motors in New Jersey…

Durant, a high-school dropout, had made his fortune building horse-drawn carriages, and in fact he hated cars–he thought they were noisy, smelly, and dangerous. Nevertheless, the giant company he built would dominate the American auto industry for decades.

In the first years of the 20th century, however, that industry was a mess. There were about 45 different car companies in the United States, most of which sold only a handful of cars each year (and many of which had an unpleasant tendency to take customers’ down payments and then go out of business before delivering a completed automobile). Industrialist Benjamin Briscoe called this way of doing business “manufacturing gambling,” and he proposed a better idea. To build consumer confidence and drive the weakest car companies out of business, he wanted to consolidate the largest and most reliable manufacturers (Ford, REO, his own Maxwell-Briscoe, and Durant’s Buick) into one big company. This idea appealed to Durant (though not to Henry Ford or REO’s Ransom E. Olds), who had made his millions in the carriage business just that way: Instead of selling one kind of vehicle to one kind of customer, Durant’s company had sold carriages and carts of all kinds, from the utilitarian to the luxurious.

But Briscoe wanted to merge all the companies completely into one, while Durant wanted to build a holding company that would leave its individual parts more or less alone. (“Durant is for states’ rights,” Briscoe said. “I am for a union.”) Durant got his way, and the new GM was the opposite of Ford: Instead of just making one car, like the Model T, it produced a wide variety of cars for a wide variety of buyers. In its first two years, GM cobbled together 30 companies, including 11 automakers like Oldsmobile, Cadillac, and Oakland (which later became Pontiac), some supplier firms, and even an electric company.

Buying all these companies was too expensive for the fledgling GM, and in 1911 the corporation’s board forced the spendthrift Durant to quit. He started a new car company with the Chevrolet brothers and was able to buy enough GM stock to regain control of the corporation in 1916, but his profligate ways got the better of him and he was forced out again in 1920. During the Depression, Durant went bankrupt, and he spent his last years managing a bowling alley in Flint.

– source

In the early 1900s public outcry over weak government regulation of gasoline-powered horseless carriages was significant. Durant clocked this public anger, and rather than relying on government regulations to improve their safety, he saw it as an opportunity to create a company which could improve the quality and safety of this new class of transportation. Fast forward just over a century and General Motors seems to have fallen prey to the extractive impulse that Sapp describes: the company and its cars are beset by myriad quality issues.

source

“Constant attention by a good nurse may be just as important as a major operation by a surgeon”*…

William Blake, The Punishment of the Thieves, 1824–27. Photo via Wikimedia Commons

A recent (R)D unpacked a recent Gallup survey of public trust in different professions/ocupations; the undisputed champion, nursing…. to which, friend MK responded: “What’s worse than 24 out of 25 people not trusting members of Congress is one out of four not trusting nurses.”

Edward Ongweso Jr. has a possible explanation– one that has little to do with nurse and all-too-much to do with the deterioration of the system of which they’re a part…

Hello everyone, I’ll keep this bit short this time! Thanks for all the emails with stories about your own experiences in Vegas, with gambling addiction, and with CES in response to my last piece, I read them all and responded to most except the ones pitching me Guaranteed Parlays That Will Hit! Thanks also for subscribing, we’ve jumped a bit and are just shy of 4,400 subscribers. If you like what you’ve read and want to support me further, you can become a paid subscriber for $7 a month or $70 a year. What do you get in return? My undying love, some recommendation posts every now and then, and paywalled essays/rants just as long as this one! Now, let’s get to today’s essay.

I have long believed that one of the greatest threats we face is the proliferation of the on-demand labor platform. The so-called “gig economy” is one of the larger altars to greed and misery in our civilization where millions of people are sacrificed in order to grow Smaugian hoards that are then transmuted into this or that form of power.

My earliest introduction to this was through the work of labor ethnographer and legal scholar Veena Dubal via her law journal article “The Drive to Precarity,” which maps out how militant workers turned San Francisco’s precarious taxi sector into a stable line of work, how companies responded with a wave of deregulation and de-unionization that immiserated workers, and how Uber sealed the deal in returning ride-hail to its earlier insecure form: poor working conditions and starvation wages, with every possible cost (healthcare, fuel, maintenance, etc.) offloaded onto workers and consumers.

Key forms of on-demand labor—namely, ride-hail and food delivery—have proliferated over the past few years, but not because they are particularly profitable or innovative business ventures. Most of them either have no real path to profitability, report dubiously calculated profits, or are operating illegally in hopes of realizing or sustaining them after sufficient lobbying and monopolization and exploitation of consumers/workers. The lazy and incurious view has been that they will grow into profitability, but the transparent reality is that the firms at the vanguard of the gig economy have thrived because they take advantage of a few key phenomena: worker misclassification, algorithmic discrimination, anti-competitive capital-intensive strategies, impressive public relations, robust political lobbying, and shoddy journalism, to name a few…

[Ongweso unpacks the history of ride-hailing apps and of the tactics– some legitimate, some questionable, and some plainly illegal– the industry has used to prevail. Then he turns to nursing…]

… As[ Shawn Carolan, a partner at Menlo Ventures and early investor in Uber] observed, however, ride-hail and delivery are not the only places where the “business model” at the heart of on-demand labor can be applied.

Over the past few years, nursing has emerged as a juicy target for investors and firms eager to liberate entire industries of antiquated regulatory frameworks. Last month, the Roosevelt Institute published a great report on what the application of the on-demand model will mean for nurses and it paints a grim picture. While some hail the emergence of an “Uber for nursing” model as a salve for our nursing shortage, Katie J. Wells and Funda Ustek Spilda detail how these apps reliably degrade working conditions, wages, and care standards.

These apps encourage nurses to work for less pay, fail to provide certainty about scheduling and the amount or nature of work, take little to no accountability for worker safety, and can threaten patient well-being by placing nurses in unfamiliar clinical environments with no onboarding or facility training. On-demand nursing platforms are also using the Uber playbook to lobby state legislatures in an attempt to exempt themselves from existing labor regulations.

I’ll be going through the report section by section to highlight key points as I think the report is phenomenal, but I encourage you to read it in full (linked above).

The premise of the “Uber for nursing” apps is relatively simple: lets use algorithmic systems to managing the scheduling, staffing, and management at medical facilities. For understaffed workplaces looking to cut costs and corners, this is attractive. For nurses and nursing assistants who want more control over their work, this is attractive. But this is especially enticing for investors who drool anytime a firm compares itself to Uber. Take ShiftMed—one of the darlings of this sector and a subject of the Roosevelt Institute report—which has raised hundreds of millions (but declines to share its valuation): $47 million in a May 2024 venture round, $200 million in a February 2023 round, $45 million in October 2021, and an early $6 million boost in an August 2019 round. What concretely are firms like ShiftMed offering to draw financing like this?

After a nurse downloads an on-demand nursing app and submits the requisite documents, they can use the app to indicate their interest in a 6-, 8-, or 12-hour shift at a hospital, nursing home, assisted living facility, surgical center, dental office, or, in some states, correctional facilities. An algorithmic scheduling software program, which is the heart of these new companies, then approves the worker for a shift, notifies both the medical facility and the worker, allows the worker to clock in and out, and, finally, sends a paycheck.

The on-demand nursing industry promises hospitals and medical administrators a different set of controls, namely the capacity to seamlessly staff facilities, reduce manager workloads, and lower labor costs.

On paper, this sounds lovely—the digital disruption of an old rickety system full of middlemen, inefficiencies, misallocation, overcharging, yadda yadda ya. But what’s the reality on the ground? Wells and Spilda found:

… serious safety and health risks for workers and patients. The nurses and nursing assistants who use these apps must pay fees to bid on shifts, and they win those bids by offering to work for lower hourly rates than their fellow workers. Poor internet or cell service in rural areas can cause the apps to fail, resulting in missed paychecks for work performed. These apps also rate the nurses they hire based on facility feedback and internal algorithmic determinations. If a worker must cancel a shift due to sickness or personal conflict, their rating goes down, and they often lose out on future shifts or can be banned from the app altogether. In at least one case, a nursing assistant went into work at a hospital while sick with COVID-19 because she could not figure out how to cancel a shift without lowering her rating. At most hospitals and medical facilities, no orientations are required for gig nurses and nursing assistants. Workers do not know where supply closets are located, how to access patient portals with medical histories and current medication lists, and whom to contact in the chain of command. With gig nursing, there is often little to no continuity of care. Despite hospitals’ attempts to automate nursing, care work is inherently tricky to de-skill and predict. Shifts do not neatly end when the apps say they do as, of course, patients’ health-care needs do not end just because the clock says they should. Human frailty—the essential subject of nursing—defies algorithmic management.

As the report will detail, gig nursing has already proven itself to be an unmitigated disaster and we are still relatively early in its assault on our lethargic healthcare system…

[Ongweso offers more chilling detail…]

… Often the deployment of new technology is used as cover to rollback reforms and regulations that have made old levels of profiteering unrealizable or outright illegal. That tends to be a function of who is steering the design, development, and deployment of said technologies. It is one thing when managers and financiers are in the drivers seat, and it would be another thing entirely if care workers were in control. It is not clear to me why anyone other than nurses should be in control of what sort of technology is introduced into their workplaces, how this technology is designed, why it is deployed, and when it is used. To close out with Wells and Splinda:

“It is important to not lose sight of the enormous amount of skill, coordination, understanding of human vulnerability and frailty, and treatment of patients with utmost decency required to provide good quality care. Technology could provide solutions to automate and unburden the nurses and health-care workers from the everyday management tasks of their work; however, decision-making around such solutions should include the nurses themselves, from design to deployment.”

The gig economy’s metastasis and its threat to healthcare: “Uber’s Bastards,” from @edwardongwesojr.com. Eminently worth reading in full.

* Dag Hammarskjöld

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As we contemplate care, we might send healing birthday greetings to Arthur Nicolaier; he was born on this date in 1862. A physician and bacteriologist, he isolated the tetanus bacterium and developed a successful cure for tetanus.

Nicolaier discovered that the tetanus bacterium lived in soil. Because of its presence in earth, it is responsible for infection from dirty wounds, which was a particularly significant issue in the cases of wounded soldiers during WW I. The toxin secreted by this bacterium, Clostridium tetani, travels along nerves to the spinal chord, causing increasingly severe, often fatal spasms of the head and neck and jaw– from which came the common name of the affliction: “lockjaw.” Thanks to Nicolaier, from 1915 injured soldiers– and any other sufferer– received an anti-toxin.

In the mid-1920s a tetanus vacine was developed. It has subsequently been improved, and has successfully warded off infection in those areas where it is administered. In 2013, it caused about 59,000 deaths worldwide—down from 356,000 in 1990; in the United States, from 2000 through 2007, an average of 31 cases were reported per year.  Nearly all of the cases in the United States occur in unimmunized individuals, or individuals who have allowed their inoculations to lapse.

source

Written by (Roughly) Daily

February 4, 2025 at 1:00 am

“Don’t throw the baby out with the bath water”*…

Source (and the full strip of which it’s a part)

From Dynomight (and here), an argument that algorithms, while problematic today, aren’t necessarily evil…

What does “algorithmic ranking” bring to mind for you? Personally, I get visions of political ragebait and supplement hucksters and unnecessary cleavage. I see cratering attention spans and groups of friends on the subway all blankly swiping at glowing rectangles. I see overconfident charlatans and the hollow eyes eyes of someone reviewing 83 photo she just made her boyfriend take of her in front of a sunset. Most of all, I see dreams of creative expression perverted into a desperate scramble to do whatever it takes to please the Algorithm.

Of course, lots of people like algorithmic ranking, too.

I theorize that the skeptics are right and algorithmic ranking is in fact bad. But it’s not algorithmic ranking per se that’s bad—it’s just that the algorithms you’re used to don’t care about your goals. That might be an inevitable consequence of “enshittification”, but the solution isn’t to avoid all algorithms, but just to avoid algorithms you can’t control. This will become increasingly important in the future as algorithmic ranking becomes algorithmic everything…

Dynomight elaborates on the problem, its genesis, and a plausible answer: “Algorithmic ranking is unfairly maligned,” from @dynomighty.bsky.social.

* German proverb

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As we rethink rankings, we might recall that on this date in 1969 a group at the top of most lists took it to the roof: The Beatles performed on the rooftop of their Apple Corps headquarters at 3 Savile Row, in central London’s office and fashion district. Joined by guest keyboardist Billy Preston, the band played a 42-minute set before the Metropolitan Police arrived and ordered them to “reduce the volume.” It was the final public performance of their career. The concert ended with “Get Back,” after which John Lennon quipped, “I’d like to say thank you on behalf of the group and ourselves, and I hope we’ve passed the audition.”

The full concert footage is available at the invaluable Internet Archive. Here, a taste of “Get Back”…

Written by (Roughly) Daily

January 30, 2025 at 1:00 am