Friday, February 28, 2025

Muzak Is Back


Seven years ago I started buying muzak. That's right you heard me, it's on my playlist. And that's right, you too can buy muzak. I learned a long time ago to stop questioning my own behavior and just let it happen - it all makes sense if you wait long enough.

It all started while watching a Japanese television show about the cultural practices around sleep in Japan. (If you fall asleep in class as a college student, it's not seen as disrespectful, because just being in the same room shows you care.) The background music caught my ear, and I looked further into the description for the video, and found the source (go figure, what a crazy idea). 

Then I said to myself - can I buy this? Is muzak only for sale to Japanese television show producers and discount furniture store managers? Yes! No! You can totally buy muzak. In fact, it's easier than buying regular music these days (probably because nobody buys music these days). I found the track I was looking for, even looked up the artists involved and bought a couple more. I left the experience thinking how strange it is to be a human, urges and decisions come from seemingly nowhere, make you do things, but at the same time there's a man behind the curtain, watching the one who does things, bewildered. What is wrong with me? Who on earth is buying muzak, on purpose, like to listen to on purpose? 

Years later, two weeks ago, I sit in a cafe listening to laid back acoustic covers of pop music from the 60's - 90's coming from their streaming platform's playlist. After one too many of these cover songs, I get a chill down my spine - something weird about this, the entropy-measuring machine in my head is confused. I approach the business owner and ask where these songs are coming from. He tells me Spotify, but I already know that. I ask again, are these songs AI? All of them are AI, aren't they? I saw the flash in his eyes. Prompt engineering has been a thing for a while now; people are familiar with it. So this business owner imagines out loud, "young asian with thick rimmed glasses acoustic guitar for low-key cafe background music", like that? Just like that, I said. And he looked at the device controlling the music, and he scrolled through the artists, and he looked at the prompt he originally input. He scrolled down, then back up, then back down again, his eyes feverish and darting. 

The following week, I'm eating lunch in a grand banquet hall for a work conference in Atlantic City, laid back music softly playing in the background. But then it happens - it's Black Sabbath's Ironman, as a bossa nova cover. Now I am no music expert, maybe an aficionado, but by no means a music trivia master. But I will tell you this - if you've ever heard a bossa nova cover of Ironman, you would fucking know. (The Cardigans is as close as you'll get by the way). That's it. I put down my fork, and with a mouthful of food I walk across the banquet hall of 1,000 people and up to the DJ. He's behind a table, manning his decks and his sound equipment, minding his own business. I start off politely, but then I can't hold back - what the hell is this? There's no way this is real. He's confused. I say look at the playlist, you recognize any of these artists? He says who the hell are you. I say look at the playlist. He does. He's still confused. He looks back at me and asks again who I am. But that's not important, I'm not important. What's important is that he - who apparently owns the audio-visual company serving this conference, had no idea this was happening. He just types "bossa nova brunch hour", pushes the button and sits down for the afternoon. I don't blame him, to be clear, although I'm a bit more upset about the guy running an A-V company than the one running a cafe.  

Maybe you run a business. Maybe you like to have music in the background for your customers. Not like the kind of music that makes you wanna cry, or fight, or dance or sing. The kind of music that makes you more relaxed, maybe more focused, but that you don't really notice. Some might call this functional music, but I haven't heard the term used, I'm just making this up. 

Then I realized there's already a word for this; it's called muzak. Start paying attention and you'll hear it too. You can tell because entropy. (See below for links to older posts about how entropy works in music, and information in general.) Entropy is an important concept in the world of artificial intelligence, and once you know what to look for, it helps you understand how it works, and how it doesn't.

Let's make this point real quick - Spotify does not pay musicians anymore, because they don't have to. They made a music generator that's been trained on real musicians' music, and plays that music back again, but in a way that's different enough to be considered Fair Use (under copyright law), and despite that fact that they stole the training music in the first place. You load a prompt, Japanese television show background music for example, and sit back and let the computer make music for you in real time. Guess who gets paid - not the original musicians, not the computer making the music in real time. Spotify gets paid; they get paid by advertisers, and by business owners who want ad-free music. And they pay nobody in return. They have effectively removed musicians from the equation. 

And we have effectively moved right past muzak, and into the low-entropy world of cold, unemotional non-music. This essay by music blogger Ted Goiai does a great job explaining what's happened to the music industry over the past years and even decades, as it becomes more and more boring, less and less able to create something new, or to take risks. Everything becomes plain vanilla, everything becomes a potato. No parsnips, no yams, no yucca, no celery root, no daikon, no turnips, no rutabaga. Just potatoes, because they are the most in-between, the most representative, and ultimately the most boring. The way artificial generation works is ultimately ruled by thermodynamics, and so the output can never have more entropy than the input. In other words, the music being produced can never be more interesting than what it's copying.

Should I be making a plea for people to support their muzak-making co-species? Perhaps. Or perhaps muzak was the first vulture to circle this industry. I'd rather make a plea for business owners who want music to play at their place of business to reach out to local radio station DJs who know where to find real, new music. There is new music being made every day by real humans. It's new, it's real, and it's good, but you would never know, because the consolidation of the music industry, and unfortunately every creative industry, makes everything look like everything else until there's only one song left (probably a Beatles song). If you run a business, you don't have time to find these musicians and their music. But local radio station DJs do, and they can help you populate your playlist. 

Two weeks after the epiphany at the cafe, the owner is back to his old playlist, which is about 500 songs by artists you know and love. No covers, no computers, just music. But two weeks after that, he's back to the muzak (auto-generated aka AI music). We can only listen to Nirvana's cover of The Man Who Sold the World so many times, you know? And the novelty has yet to wear of for the auto-generated, author-vacant, soft-cover version of that song where the auto-translated lyrics screw up Kurt Cobain's mumbled words and repeat them like they're totally normal (the way your GPS has funny ways of pronouncing some of the streets in your neighborhood).

Somewhere between the two stands the music industry, like "Confused John Travolta" in Pulp Fiction.


Post Script from the Music Writer Ted Gioia:
"In fact, nothing is less interesting to music executives than a completely radical new kind of music. Who can blame them? The radio stations will only play songs that fit the dominant formulas, which haven’t changed much in decades. That’s even more true for the algorithms curating so much of our new music—the algorithms are designed to be feedback loops, ensuring that the promoted new songs are virtually identical to your favorite old songs. Anything that genuinely breaks the mold is excluded from consideration almost as a rule. That’s actually how the current system has been designed to work." -Is Old Music Killing New Music? Jan 2022 [link]


Further Reading on How Entropy Works in Music, and Information in General:
Entropy Engineering and Social Syncopation, 2025
Your Brain is a Prediction Machine, 2021
Culture as Learned Probability System, 2012
On Free Will and Risk, 2012
Nature Nature Everywhere, 2017

Adopt 6 - Never Forget


There's a graffiti artist from the Newark New Jersey area who's been living among very few others in my personal hall of fame for many years now. His name is ADOPT-6, and after learning recently of his too-early transition to the spirit world, I wanted to grab a few images from the interweb, for posterity. I also wanted to confirm a suspicion I had about the origins of his name. 

Names in graffiti have a pretty loose convention. You can name yourself just about anything, as long as it's not your own name, of course, because that wouldn't make much sense. You can name yourself someone else's name, whether they're famous or not. You can name yourself after a movie or a band or a brand of pickup truck if you want. Just about anything. You can name yourself a bunch of random letters, or letters and numbers, or just numbers. Non-alphanumeric characters even. You can even name yourself a picture like a cartoon character of a duck or a flower or a purple taco (another favorite). 

Now that we know how loose naming can be, let's see some of the trends. Numbers take two forms - you're either a "1" like Best One, Craze One, or Faze One, to distinguish yourself from the others who came after you yet insist on using the same name (COPE 2 is an exception). The other way you see numbers are simply your address, so TAKI 183 is from 183rd Street. That's pretty much it. You don't see numbers show up in other ways, unless of course they're already a name in itself, like AK-47 or B-52.  

ADOPT-6 is already different then. But there's more, and this is the more important part. Most names are not commands. This one eludes me a bit. You don't really see verbs in the present sense. Instead it's BOMBED or BLASTED. Maybe a verb that points to the person doing the action, like ... But you don't see direct commands to action, like Observe or Defy or Contain or Purge, Infect, Defect, Evolve, Destroy. Maybe DESTRUKT but not DESTROY. (STAY HIGH 149 is an exception, and a legend, as is REVOLT.) 

You may have some counter examples in your own neighborhood, but they're not common, and I'm not sure why, but I have a guess. Names are to tell people who you are. Master Blaster. King of Tramps. But this is why when I first started seeing ADOPT 6, I was stammered. I'll even admit, I called him a hero.

Not only is his name not a name, it's a command; not only is his name telling me what to do instead of telling me who he is, he's telling me to ADOPT FUCKING CHILDREN. And not only is he telling me to adopt fucking children, he's telling me how many. And it's six. SIX FUCKING KIDS. 

Graffiti artists don't do this, and at this point I'm not sure why (although I just explained why like two paragraphs ago). Graffiti has evolved to be more than just a territory-marking behavior. It's a full-fledged, full-grown art form, prompting social transformation and bending cultural identity. It's also a form of protest, and if nothing else, protest is meant to provoke. It's meant to elicit a response, to trigger an action.

You can't tell me that writing on someone else's property isn't a form of protest, even if that's not what you meant by it. So if we're protesting, why aren't we telling people to do things. Just writing your name is so - passive. I think ADOPT 6 was ahead of his time, and I think he deserves some recognition. 

Post Script Number One, On Adoptables:
The word "adoptables" is used in an underground art world of what could be called amateur designers who offer their artwork for use by others, not as a sale or a commission or a license, but by "adopting". Not sure what this really means or how it differs from more conventionally termed ways of transferring ownership, but you will see the phrase "Adopt 6" written above a series of 6 drawings 'up for adoption' by an artist. You might then also see "adopt my drawings" or "adopt 3" or simply "adopt". In the hyperintersectional and wholly non-deterministic world of art, one could imagine a yet-nameless graffiti artist who is also familiar with this "adopting" phenomenon, or who just likes to scroll Deviant Art and saw this as a headline one day, and stream-of-consciousness-ed it into his name. None of this changes the overall effect of his name or its status. 


Post Script Number Two, On Doing Your Own Research:
Please stop using AI summaries to get information; not only is it making you stupid, it's making you look stupid to other people - In response to my prompt, simply "Adopt 6", the AI summary reads, "Adopt 6" is a term used to describe when a family adopts six siblings from foster care. There are multiple stories of families adopting six siblings from foster care, including a couple from Pennsylvania, a couple from Florida, and a couple from ... ". If someone else knew the truth, and they heard you say this, they would think you're an idiot. But you wouldn't know. Now you know. Be careful out there. 

Friday, February 14, 2025

The Entelechy of Information

 

Things that aren't alive behave as if they are, making us question what life is.  Darwin's theory of evolution started with a Tree of Life for language, not for Life. This is a great piece, and she's the one who did the 'black traffic stop' study btw, very clever.


Study traces an infectious language epidemic
May 2024, phys.org

Note for context: More than 692,000 preventable hospitalizations were reported among unvaccinated patients from November to December 2021 alone, and at a minimum cost of $13.8 billion.

They used GPT-4 to find Covid prevention-opposed posts in banned subreddits. They were looking for something called "gists" - Reyna has shown that individuals learn and recall information better when it is expressed in a cause and effect relationship, and not just as rote information. This holds true even if the information is inaccurate or the implied connection is weak. Reyna calls this cause-and-effect construction a "gist."

The results show that, indeed, social media posts that linked a cause, such as "I got the COVID vaccine," with an effect, such as "I've felt like death ever since," quickly showed up in people's beliefs and affected their offline health decisions. In fact, the total and new daily COVID-19 cases in the U.S. could be significantly predicted by the volume of gists on banned subreddit groups.

Rho's work is grounded in a social science framework called Fuzzy Trace Theory that was pioneered by Valerie Reyna, a Cornell University professor of psychology and a collaborator on this Virginia Tech project.

via Eugenia Rho and Society + AI & Language Lab in the Department of Computing at the College of Engineering at Virginia Tech: Xiaohan Ding et al, Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language, arXiv (2024). DOI: 10.48550/arxiv.2403.00994

And this, an important to note to stand by itself:
Many other social media platforms have barred outside researchers from using their data.

(And this is why they used reddit, which I think as of today no longer allows ^this. Regardless consider for a moment that digital social-mediated misinformation is a thing, and it's a real risk, and yet we can't even study it anymore because it's all totally proprietary. But don't consider the fact that data - all the data - is created by the users, yet it's not owned by the users to the extent that they, or anyone, can study it; that's for another post.)

Image credit: Plant root via Fiber Optic 2x - Dr Adolfo Ruiz De Segovia Nikon Small World - 2024


Back to language as an epidemic, behold Legalese:
Study explains why laws are written in an incomprehensible style
Aug 2024, phys.org

A 2022 study found legal documents frequently have long definitions inserted in the middle of sentences - a feature known as "center-embedding" which makes text more difficult to understand, even for lawyers. "Legalese somehow has developed this tendency to put structures inside other structures, in a way which is not typical of human languages." 

"Lawyers don't like it, laypeople don't like it, so the point of this current paper was to try and figure out why they write documents this way."

Hypotheses:
"Copy and edit hypothesis" - legal documents begin with a simple premise, and then additional information and definitions are inserted into already existing sentences, creating complex center-embedded clauses.

"Magic spell hypothesis" - the convoluted style of legal language signals a kind of authority, "if you want to write something that's a magic spell, people know that the way to do that is you put a lot of old-fashioned rhymes in there."

Test:
They did two experiments, one with people split in two groups for writing laws and then adding to them, or writing laws all at once. They found that people wrote center-embeddings regardless of whether they had to copy and edit.

The other experiment gave people laws from another country and asked them to rewrite them, both as law itself and as a description of the law. They found that people put embeddings in the law but not the description. 

They're now investigating the origins of center-embedding in legal documents, back to the Hammurabi Code of 1750 BC.

via MIT, University of Melbourne, University of Chicago Law School: Martínez, Eric, Even laypeople use legalese, Proceedings of the National Academy of Sciences (2024). DOI: 10.1073/pnas.2405564121


But in case you still weren't convinced that contagion is a function of information systems, and not of living systems ... or perhaps you'd rather believe that language is in fact a form of life:
How new words arise in social media
Sep 2024, phys.org

They analyzed 650 million tweets written in French between 2012 and 2014 to identify 400 words that were new to appear on the social media network then called Twitter, then they tracked the diffusion of these words over the following five years, and looked at the position and connectivity of users who adopted the words.

"lexical innovations" - new words

On average, the words that eventually persisted were used by people who were more central to their community, and remained in circulation at low levels for a longer period before entering a growth phase (18.5 months in circulation compared to 6.5 months for buzzes).

Words that became only temporary buzzes were used by people with less central positions within a social network and had a more rapid rise in use - followed by a rapid decline.

via École Normale Supérieure in France: Tarrade L, Chevrot J-P, Magué J-P (2024) How position in the network determines the fate of lexical innovations on Twitter, PLOS Complex Systems (2024). DOI: 10.1371/journal.pcsy.0000005

Thursday, February 13, 2025

Information is a Life Form and It Wants Control of Your Brain

 

You are not in control. 

Study examines suicide contagion following celebrity deaths, opening avenues for prevention
Jul 2024, phys.org

This researcher normally does infectious disease models [I'll refer to these as SIR models] but made a new model for suicide contagion. The suicides of Robin Williams in 2014, and of Kate Spade, and Anthony Bourdain, in 2018 led to large increases in suicidal thought and behavior. The model saw a thousand-fold increase of the likelihood that a person would begin to ideate suicide following news of Williams' death (measured by calls to the national suicide hotline), and it lasted for two weeks

via Columbia University's Mailman School of Public Health: Jeffrey Shaman, Quantifying Suicide Contagion at Population Scale, Science Advances (2024). DOI: 10.1126/sciadv.adq4074.

Image credit: 3D reconstruction of mouse lung after infection with fluorescent Sendai virus - Italo Araujo Castro for Washington University Medicine - Sep 2024 [link]


ADHD - How many of us will end up being diagnosed?
Sep 2024, BBC News 

“What has changed is the number of patients we are diagnosing. It’s almost like the more we diagnose, the more word spreads.”


Are ideas contagious? How the structure of human-interaction networks affects spread of both illness and information
Oct 2024, phys.org

(This write up doesn't seem to talk about the results, so I looked at the source article)

Using a time series of binary node states as input, we show how to jointly identify the network’s structure and the dynamical rules that generated the contagion. Our method is conceptually related to that of Refs. [19, 11, 20], which all reconstruct a network and its dynamical rules from binary time-series. Unlike these previous studies, however, we put few restrictions on the contagion rules, and we generate a complete posterior distribution over parameters and contagion rules instead of point estimates.

We then use this framework to examine the difficulty of network reconstruction as a function of the contagion process’s rules.

We describe network contagions with a neighborhood-based susceptible–infected–susceptible (SIS) model. [not SIR] [21] 

They use Zachary's karate club, see below.

In the context of social media where the spread of information is often modeled as a complex contagion process, our results imply that we will learn less than would be expected if we simply translate prior reconstructability results for simple contagion processes with empirically determined estimates of R0. For extremely viral trends or information, however, we may be able to recover the effective contact networks with more precision than previously estimated. These results will not only inspire future network reconstruction methods but also guide how well different types of experimental data can hope to inform network reconstruction.

19. K. Liu, X. Lü, F. Gao, and J. Zhang, Expectation-maximizing network reconstruction and most applicable network types based on binary time series data, Physica D: Nonlinear Phenomena 454, 133834 (2023).
11. Thomas W. Valente, Network models of the diffusion of innovations, Computational and Mathematical Organization Theory 2, 10.1007/bf00240425 (1996).
20. P. S. Dodds and D. J. Watts, Universal Behavior in a Generalized Model of Contagion, Physical Review Letters 92, 218701 (2004).
21. W. W. Zachary, An Information Flow Model for Conflict and Fission in Small Groups, Journal of Anthropological Research 33, 452 (1977).

Post Script:  Zachary's Karate Club is a social network of a university karate club studied by Wayne W. Zachary for a period of three years from 1970 to 1972. The network captures 34 members of a karate club, documenting links between pairs of members who interacted outside the club. During the study a conflict arose between the administrator "John A" and instructor "Mr. Hi" (pseudonyms), which led to the split of the club into two. Half of the members formed a new club around Mr. Hi; members from the other part found a new instructor or gave up karate. Based on collected data Zachary correctly assigned all but one member of the club to the groups they actually joined after the split.

Zachary Karate Club Club is an honorific group of scientists who have used Zachary's Karate Club as an example in a scientific presentation. 

Diffusion Flux Propagation

 

Anything related to chaos theory, network science, complex systems, emergent phenomena, or whatever you want to call this large class of things and ideas, it's going to be heavy, like population level mind control psychometrics heavy. 

From branches to loops: The physics of transport networks in nature
Sep 2024, phys.org

I have noticed that when papers from Poland make it to the main feed you know you're in for some shit:

An important advantage of looping networks is their reduced vulnerability to damage; in networks without loops, the destruction of one branch can cut off all connected branches, whereas in networks with loops, there is always another connection to the rest of the system.

Many transport networks grow in response to a diffusive field, such as the concentration of a substance, the pressure in the system, or the electric potential. The fluxes of such a field are much more easily transported through the branches of the network than through the surrounding medium.

"We showed that a small difference in resistance between the network and the medium can lead to attraction between growing branches and the formation of loops."

"Analyzing the development of these [jellyfish gastrovascular] canals over time, I noticed that when one of them connects to the jellyfish's stomach (the boundary of the system) then the shorter canals are immediately attracted to it and form loops."

"Our model predicts that the attraction between neighboring branches after a breakthrough occurs regardless of the geometry of the network or the difference in resistance between the network and the surrounding medium." -Prof. Piotr Szymczak from the Faculty of Physics at the University of Warsaw

via University of Warsaw: Stanisław Żukowski et al, Breakthrough-induced loop formation in evolving transport networks, Proceedings of the National Academy of Sciences (2024). DOI: 10.1073/pnas.2401200121



Computational method pinpoints how cause-and-effect relationships ebb and flow over time
Nov 2024, phys.org

"Currently available methods for studying complex systems tend to assume that the system is approximately stationary—that is, the system's dynamical properties stay the same over time. Other commonly introduced simplifications such as linearity and time invariance can produce incorrect expectations that fail to quantify changes in the strength or direction of these relationships."

To address this gap, the research team developed a novel machine-learning model called Temporal Autoencoders for Causal Inference (TACI) to identify and measure the direction and strength of causal interactions that vary over time. 

They used an established model of a dynamic system but generated a dataset where interactions (couplings) changed over time, and found that TACI was able to detect how the strength of the causal relationship changed. 

Next they looked at real data, starting with weather data, and found that causal interactions peak during times when the temperature drops—demonstrating that TACI can accurately predict true variations over time from messy real-world data. Then with brain data on anesthetized monkeys, and found almost all interactions disappear during the anesthetized period, and then begin to re-emerge during recovery.

via Department of Physics Emory University: Josuan Calderon et al, Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencoders, eLife (2024). DOI: 10.7554/eLife.100692.1

Saturday, February 8, 2025

How Humans Work


Having been human for some time now, there's lots of quirks of human behavior that have been explained, and the world is a less confusing place as a result.

Yet there are some that remain. Such as - when you're driving in traffic and look at a person in another car, but in such a way that there's no way they could see you looking at them, and yet they somehow know, and stare right back at you. Or when you get caught looking at someone and try to avert your eyes, but you can tell you got caught. Or the reverse, just as common. How on earth do we do this? ESP? That's been my only explanation, which is to say, I've got no explanation. Until now:

Team succeeds in determining the exact moment when the brain detects another person's gaze direction
Jul 2024, phys.org

They succeeded in determining with unprecedented precision the exact moment at which the direction of gaze is detected using an electroencephalogram (EEG) and machine learning.

The brain first perceives the more global visual cues, i.e. the orientation of the head, before focusing on the more local information. Hierarchical organization then allows for integration of eye region and head orientation information.

(And this is why "side eye" is a creepy, uncanny valley thing; it's a mismatch of head direction and eye direction.)

via University of Geneva: Domilė Tautvydaitė et al, The Timing of Gaze Direction Perception: ERP Decoding and Task Modulation, NeuroImage (2024). DOI: 10.1016/j.neuroimage.2024.120659



Study links social and non-social synchrony to romantic attractiveness
Jul 2024, phys.org

Some people are super synchronizers, and super synchronizers are consistently rated as more attractive.

The ability to synchronize stems from fundamental sensorimotor abilities and that this adaptability might be perceived as beneficial in romantic contexts. ("Romantic Contexts")

Synchronized physiological states between two people can facilitate the regulation of bodily systems, ultimately enabling more fulfilling interactions between them.

The researchers first carried out an initial online experiment involving 144 participants. These participants were asked to watch short videos in which a male and a female actor interacted with each other, exhibiting either a low or high physiological and behavioral synchrony.

After watching this video, they were asked to rate the attractiveness of the male and female actors. The researchers found that greater synchrony between the actors in the videos increased the attractiveness ratings provided by the study participants. 

In a follow up experiment, some participants were asked to interact with potential partners in a speed dating experiment, and complete a tapping task designed to measure their synchronization, while using a wearable device called the Empatica E4 wristband which measured the activation of the sympathetic nervous system, the secretion of sweat and changes in electrodermal activity.

via Hebrew University: M. Cohen et al, Social and nonsocial synchrony are interrelated and romantically attractive, Communications Psychology (2024). DOI: 10.1038/s44271-024-00109-1


The Big 5 is a Lie! And now we're all rethinking the effectiveness of surveillance advertising; it's quite possible that someone is lying to us.

Team uncovers the complex social life of rats, with potential implications for human psychiatry
Oct 2024, phys.org 

I'm only here for this:

Another unexpected result was that there was relatively little correlation between the "personality" traits defined in standard personality and social tests (commonly used in drug or behavioral research) and the actual behavior observed within the real groups.

via Department of Biological Physics and Department of Ethology at Eötvös Loránd University: Máté Nagy et al, Long-term tracking of social structure in groups of rats, Scientific Reports (2024). DOI: 10.1038/s41598-024-72437-5

Friday, February 7, 2025

Post Consumer Product Phishing



A reversal of sorts, where the market used to have people who made things and people who bought things, but now it's just people taking things from other people, who get nothing in return.

The consumer became the product. Because let's face it, all DNA-testing sites are really just Ancestry dot com, which was based on early 20th century surveillance, similar to the very expensive advertising lists compiled from reams of public and non-public personal data. Think churches, governments and community organizations holding marriage certificates, military records, or payment accounting books. The DNA part was just like hanging a Store Closing All Items Half Price sign in the window. 

Granted, there are a few easy genes to tell you otherwise really obvious things about yourself. Are you Asian? That's ABCC11, called the 'no body odor' gene. I had no idea I was Asian until now actually, thank you DNA company. There'a another one for people of African origin, something related to sickle cell anemia and diabetes, called the HBB mutation.

Here's a better explanation:
"To understand the ancestry tests, you have to begin by looking at the fine print. This [type of test] says 'for recreational purposes only' or something very similar. It obviously is written by lawyers, not scientists, and it's a way of saying that the results have no scientific or legal standing. This is privatized, corporate science, not ordinary science. "How do they come up with numbers? They take DNA from people from disparate regions and compare yours to theirs. The numbers reflect a measure of your DNA similarity to those of the divergent gene pools. How do they calculate it? Don't know; the algorithms are protected intellectual property. Are they accurate? About as accurate as looking in the mirror."
--NPR, Why You Should Think Twice About Those DNA-By-Mail Results, 2017 [link]

It's not that the DNA-ancestry companies don't work at all, just that they work far, far less than they would have us believe (kind of like smart shoelaces or AI handlebars).  

In other words, when you give your DNA to a company for the purposes of discovering your ancestry, they're getting more usable information about you than you are about yourself. And then things like this happen:
 
DNA-testing site 23andMe fights for survival
Nov 2024, BBC News

"Until we ban the trade in personal data, we are not well protected enough."
-Carissa Velez, author of Privacy is Power


Something to consider - the Chan Zuckerberg Foundation has the Tabula Sapiens atlas of human tissue. (2022) [link]


I gave my DNA to tracking company - then it vanished
Nov 2024, BBC News

A DNA-testing firm appears to have ceased trading - without telling its customers what has happened to the highly sensitive data they shared with it.

Atlas Biomed, which has offices in London, offered to provide insights into people's genetic make up as well as their predisposition to certain illnesses.

However, users are no longer able to access their personalised reports online and the company has not responded to the BBC's requests for comment.

Customers of the firm describe the situation as "very alarming" and say they want answers about what has happened to their "most personal information".

This next article seems different, but it's actually the same:

Smart gadgets’ failure to commit to software support could be illegal, FTC warns
Nov 2024, Ars Technica

Makers of smart devices that fail to disclose how long they will support their products with software updates may be breaking the Magnuson Moss Warranty Act, the Federal Trade Commission (FTC) warned this week.

The FTC released its statement after examining 184 smart products across 64 product categories, including soundbars, video doorbells, breast pumps, smartphones, home appliances, and garage door opener controllers. Among devices researched, the majority—or 163 to be precise—"did not disclose the connected device support duration or end date" on their product webpage, per the FTC's report [PDF]. Contrastingly, 11.4 percent of devices examined shared a software support duration or end date on their product page.

Post Script on quality in the post-consumer era:
Majority of clothes being donated are exported or discarded: Study calls for city fashion waste shakeup
Nov 2024, phys.org

Charities and collectors have been reporting the plummeting quality of garments over the past 15 to 20 years, decreasing resale potential

Further Reading: Privacy is Power: Why and How You Should Take Back Control of Your Data, 2022