Thomas SowellTV
Published 17 Dec 2021
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August 28, 2023
Why Britain Advanced Before Other European Nations | Thomas Sowell
August 27, 2023
When the techno-utopians proclaimed the end of the book
In the latest SHuSH newsletter, Ken Whyte harks back to a time when brash young tech evangelists were lining up to bury the ancient codex because everything would be online, accessible, indexed, and (presumably) free to access. That … didn’t happen the way they forsaw:
By the time I picked up Is This a Book?, a slim new volume from Angus Phillips and Miha Kova?, I’d forgotten the giddy digital evangelism of the mid-Aughts.
In 2006, for instance, a New York Times piece by Kevin Kelly, the self-styled “senior maverick” at Wired, proclaimed the end of the book.
It was already happening, Kelly wrote. Corporations and libraries around the world were scanning millions of books. Some operations were using robotics that could digitize 1,000 pages an hour, others assembly lines of poorly paid Chinese labourers. When they finished their work, all the books from all the libraries and archives in the world would be compressed onto a 50 petabyte hard disk which, said Kelly, would be as big as a house. But within a few years, it would fit in your iPod (the iPhone was still a year away; the iPad three years).
“When that happens,” wrote Kelly, “the library of all libraries will ride in your purse or wallet — if it doesn’t plug directly into your brain with thin white cords.”
But that wasn’t what really excited Kelly. “The chief revolution birthed by scanning books”, he ventured, would be the creation of a universal library in which all books would be merged into “one very, very, very large single text”, “the world’s only book”, “the universal library.”
The One Big Text.
In the One Big Text, every word from every book ever written would be “cross-linked, clustered, cited, extracted, indexed, analyzed, annotated, remixed, reassembled and woven deeper into the culture than ever before”.
“Once text is digital”, Kelly continued, “books seep out of their bindings and weave themselves together. The collective intelligence of a library allows us to see things we can’t see in a single, isolated book.”
Readers, liberated from their single isolated books, would sit in front of their virtual fireplaces following threads in the One Big Text, pulling out snippets to be remixed and reordered and stored, ultimately, on virtual bookshelves.
The universal book would be a great step forward, insisted Kelly, because it would bring to bear not only the books available in bookstores today but all the forgotten books of the past, no matter how esoteric. It would deepen our knowledge, our grasp of history, and cultivate a new sense of authority because the One Big Text would indisputably be the sum total of all we know as a species. “The white spaces of our collective ignorance are highlighted, while the golden peaks of our knowledge are drawn with completeness. This degree of authority is only rarely achieved in scholarship today, but it will become routine.”
And it was going to happen in a blink, wrote Kelly, if the copyright clowns would get out of the way and let the future unfold. He recognized that his vision would face opposition from authors and publishers and other friends of the book. He saw the clash as East Coast (literary) v. West Coast (tech), and mistook it for a dispute over business models. To his mind, authors and publishers were eager to protect their livelihoods, which depended on selling one copyright-protected physical book at a time, and too self-interested to realize that digital technology had rendered their business models obsolete. Silicon Valley, he said, had made copyright a dead letter. Knowledge would be free and plentiful—nothing was going to stop its indiscriminate distribution. Any efforts to do so would be “rejected by consumers and ignored by pirates”. Books, music, video — all of it would be free.
Kelly wasn’t altogether wrong. He’d just taken a narrow view of the book. He was seeing it as a container of information, an individual reference work packed with data, facts, and useful knowledge that needed to be agglomerated in his grander project. That has largely happened with books designed simply to convey information — manuals, guides, dissertations, and actual reference books. You can’t buy a good printed encyclopedia today and most scientific papers are now in databases rather than between covers.
What Kelly missed was that most people see the book as more than a container of information. They read for many reasons besides the accumulation of knowledge. They read for style and story. They read to feel, to connect, to stimulate their imaginations, to escape. They appreciate the isolated book as an immersive journey in the company of a compelling human voice.
6 Strange Facts About the Cold War
Decades
Published 27 Jul 2022Welcome to our history channel, run by those with a real passion for history & that’s about it. In today’s video, we will be exploring 6 odd Cold War facts.
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August 25, 2023
Shrinking traffic “is always a bad sign – but especially if your technology is touted as the biggest breakthrough of the century”
I don’t know about anyone else, but with every site I visit these days seeming to be eager that I try out their new AI, I’m deep in AI-fatigue. Ted Gioia says that unlike all expectations, demand for AI seems to be shinking rather than growing:
The AI hype is collapsing faster than the bouncy house after a kid’s birthday. Nothing has turned out the way it was supposed to.
For a start, take a look at Microsoft — which made the biggest bet on AI. They were convinced that AI would enable the company’s Bing search engine to surpass Google.
They spent $10 billion dollars to make this happen.
And now we have numbers to measure the results. Guess what? Bing’s market share hasn’t grown at all. Bing’s share of search It’s still stuck at a lousy 3%.
In fact, it has dropped slightly since the beginning of the year.
What’s wrong? Everybody was supposed to prefer AI over conventional search. And it turns out that nobody cares.
What makes this especially revealing is that Google search results are abysmal nowadays. They have filled them to the brim with garbage. If Google was ever vulnerable, it’s right now.
But AI hasn’t made a dent.
Of course, Google has tried to implement AI too. But the company’s Bard AI bot made embarrassing errors at its very first demo, and continues to do bizarre things—such as touting the benefits of genocide and slavery, or putting Hitler and Stalin on its list of greatest leaders.
So it’s no surprise that many people are now doing searches at Reddit or TikTok, instead of conventional search engines. This could have been Bing’s great opportunity, but instead its AI bot is turning into the next Clippy.
Consumers don’t want grotesque AI responses filled with errors and outrageous claims. Who could have guessed it?
The same decline is happening at ChatGPT’s website. Site traffic is now shrinking. This is always a bad sign — but especially if your technology is touted as the biggest breakthrough of the century.
If AI really delivered the goods, visitors to ChatGPT should be doubling every few weeks.
This is what a demand pattern for real innovation looks like.
How key innovations grew
(source)I used to study this stuff for a living — some people even called me the “King of the S-Curves” back then. (Hey, I’ve been called worse.)
As you can see, a real tech breakthrough grows at a ridiculously rapid pace in its early days. Look at how fast people adopted radio or the smartphone or electricity. And these required huge investments by consumers.
But they’re giving AI away for free at Bing — and it’s not growing at all.
This is not how consumers respond to transformative technology. The current demand pattern resembles, instead, what we would call a fad or craze.
And this is just one warning sign among many.
Fortress Britain with Alice Roberts S01E03
Fortress Britain with Alice Roberts
Published 16 Apr 2023
August 24, 2023
Speaking of Just-so stories, here’s “a simple story of fetish formation”
Scott Alexander ventures far from shore in this extended discussion of the notion that fetish research can help us understand more about artificial intelligence:

“Cologne BDSM 07” by CSD2006 is licensed under CC BY-SA 3.0 .
We try to explain AI alignment by analogy to human alignment. Evolution “created” humans. Its “goal” is for humans to spread their genes by (approximately) having as many children as possible. It couldn’t directly communicate that goal to humans – partly because it’s an abstract concept that can’t talk, and partly because for most of biological history it was working with lemurs and ape-men who couldn’t understand words anyway. Instead, it tried to give us instincts that align us with that goal. The most relevant instinct is sex: most humans want to have sex, an action that potentially results in pregnancy, childbearing, and genes being spread to the next generation. This alignment strategy succeeded well enough that humans populations remain high as of 2023.
We’ve talked before about a major failure: humans can invent contraception. Evolution’s main alignment strategy was totally unprepared for this. It made us interested in a certain type of genital friction, which was a good proxy for its goal in the ancestral environment. But once we became smarter, we got new out-of-training-distribution options available, and one of those was inventing contraception so that we could get the genital friction without the kids. This is a big part of why average-children-per-couple is declining from 8+ in eg pioneer times to ~1.5 in rich countries today, even though modern rich people have more child-rearing resources available than the pioneers.
Another major alignment failure is porn. Giving evolution a little more credit, it didn’t just make people want genital friction – if that had been the sole imperative, we would have died out as soon as someone inventing the dildo/fleshlight. People want genital friction associated with attractive people and certain emotions relating to complex relationships. But now we can take pictures of attractive people and write stories that evoke the complex emotions, while using a dildo/fleshlight/hand to provide the genital friction, and that does substitute for sex pretty well. There’s still debate over whether porn makes people less likely to go out and form real relationships, but it’s at least plausibly another factor in the rich-country fertility decline. At the very least it doesn’t scream “well-thought-out alignment strategy robust to training-vs-deployment differences”.
But these are boring examples. These are like 2015-level alignment concerns, from back when we thought the big problem was AIs seizing control of their reward centers or something. I think we might genuinely be able to avoid problems shaped like these. Unlike evolution, which had to work with lemurs, even weak GPT-level modern AIs are able to understand language and complicated concepts; we can tell them to want children instead of using genital friction as a proxy. 2023 alignment concerns are more about failed generalization – that is, about fetishes.
Evolution’s alignment problem isn’t just that humans have learned to satiate their libido in ways other than procreative sex. It’s that some humans’ libidos are fundamentally confused. For example, some men, instead of wanting to have sex with women, mostly want to spank them, or be whipped by them, or kiss their feet, or dress up in their clothes. None of these things are going to result in babies! You can’t trivially blame this on the shift from training to deployment (ie the environment of evolutionary adaptedness to the modern world) – women had feet in the ancestral environment too. This is a different kind of failure.
Here’s a simple story of fetish formation: evolution gave us genes that somehow unfold into a “sex drive” in the brain. But the genome doesn’t inherently contain concepts like “man”, “woman”, “penis”, or “vagina”. I’m not trying to make a woke point here: the genome is just a bunch of the nucleotides A, T, C, and G in various patterns, but concepts like “man” and “woman” are learned during childhood as patterns of neural connections. We assume that the nucleotides are a program telling the body to do useful things, but that has to be implemented through deterministic pathways of proteins and the brain’s neural connections are too complex to trivially influence that way (see here for more). The genome probably contains some nucleotides that are supposed to refer to the concepts “man” and “woman” once the brain gets them, but there’s are a lot of fallible proteins in between those two levels.
So the simple story of fetish formation is that the genome contains some message written in nucleotides saying “have procreative sex with adults of the opposite sex as you”, some galaxy-brained Rube Goldberg plan for translating that message into neural connections during childhood or adolescence, and sometimes the plan fails. Here are some zero-evidence just-so-story speculations for how various fetishes might form, more to give you an idea what I’m talking about than because I claim to have useful knowledge on this topic:
- Foot fetish: On the somatosensory cortex, the area representing the feet is right next to the area representing the genitalia. If the genome includes an “address” for the genitalia, plus the instructions “have sexual urges towards this”, then getting the address slightly wrong will land you in the feet.
A reasonable next question would be “what’s on the other side of the genitalia, and do people also have fetishes about that one?” The answer is “the somatosensory cortex is a line with the genitalia at the far end, because God is merciful and didn’t want there to be a second thing like foot fetishes.”
(source for cortex image)- Spanking: From the male point of view, penetrative PIV sex involves applying force to the bottom half of a woman, at rhythmic intervals, in a way that causes her very intense emotions and makes her make moan and scream. Spanking is exactly like this, and most kids encounter spanking at a very early age and sex only after they’re much older. If the evolutionary message is something like “find the concept that looks vaguely like this, then be into it”, spanking is the first concept like that most people will find; by the time they learn about actual sex, spanking might be a trapped prior.
- Sadomasochism: Sex is painful for virgins, can be mildly painful even for some non-virgins, and when it’s pleasurable, it still looks a lot like pain (screams, intense emotions). Imagine you are a little boy/girl who stumbles in on your parents having sex. Your father is impaling the most sensitive part of your mother’s body, and your mother is moaning and squealing. A natural generalization might be “sex is the thing where a man causes a woman pain”.
- Latex/rubber: Plausibly the evolutionary specification includes details about attractiveness. Attractive people (ie those you should be most interested in having babies with) should be young and healthy (characteristics associated with better pregnancy outcomes, especially in the high-risk ancestral environment). The simplest sign of youth and good health is smooth skin, so the evolutionary message might say something about preferring sex with smooth-skinned people. Latex is a superstimulus for smooth skin, and maybe if you see it at the right time, in the right situation, it can totally overwhelm the rest of the message.
- Urine/scat: Procreative sex involves a sticky substance that comes out of the genitals, it doesn’t take much misgeneralization to get to other sticky substances that come out of the genitals or nearby regions.
- Bondage/domination/submission: Okay, I admit I don’t have a good just-so explanation for this one. Maybe it’s more psychological – people who have been told that sex is shameful can only fully appreciate it if they feel like a victim who’s been forced into it (and so carries no guilt). And people who have been told they’re undesirable and nobody could ever really love them can only fully appreciate it if their partner is a victim who has no choice in the matter.
- Furries: This has to be because of all the cute cartoon animals, right? But why do some people sexually imprint on them? I found this article on worshippers of the 1990s cartoon mouse Gadget helpful here. Gadget obviously has many desirable characteristics — she’s a very cute nerdy woman who sometimes ends up in damsel-in-distress situations. Maybe she is the most sexualized being that some six-year-old boys have encountered. When I watched Rescue Rangers as a six-year old, I could feel my brain trying to figure out whether to have a crush on her before deciding that no, it was too deep in latency stage. I assume most people who get their first crushes on Gadget or some other desirable cartoon character end up with their brains later generalize properly to “I like cute nerdy women in damsel-in-distress situations”, but a small minority misgeneralize to “nope, I’m only attracted to mice now, that’s where I’m going to go with this.”
Combine this with equivalent animal “fetishes” — things like beetles species where the females have red dots on their backs, and the males try to mate with anything that has a red dot — and you get a picture where evolution tries to communicate a lot of contingent features of sex in the hopes that one of them will stick, then tells you to be attracted to whatever is most associated with those features. At least for men, I think the features communicated in the genomic message are simple things like curves and thrusting and genitals and smooth skin, plus something that somehow picks out the concept of “woman” (except in 3% of the male population, where it picks out the concept of “men” instead, plus another 3% where it doesn’t pick out a sex at all).
Real procreative sex usually matches enough of features of the genomic message to be attractive to most people, but if the original triggers were associated with some contingent characteristics, the brain might misinterpret that as part of the target — for example, if it was a cartoon animal, the brain might think the target includes cartoon animals.
Other times, something that isn’t procreative sex matches the genomic message closely enough to be misinterpreted as the center of the target (eg getting whipped); usually procreative sex is somewhere in the target space, but maybe not the exact center, and a few people have such strong fetishes that procreative sex doesn’t register as erotic at all.
The process of forming the category “sexually attractive things” is just a special case of the process of forming categories at all. I discuss the formation of categories like “happiness” and “morality” in The Tails Coming Apart As Metaphor For Life. Society feeds us some labeled data about what is good or bad — for example, we might see someone commit murder on TV, and our parents tell us “No! That’s bad! Don’t do that!” (and the other TV characters hate and punish that character). Then we try to extrapolate such incidents to a broader moral system. If we’re philosophers, we might go further and try to formally describe that moral system, eg Kantianism, utilitarianism, divine command theory, natural law, etc. All of these correctly predict the training data (eg “murder is bad”) while having different opinions on out-of-distribution environments. Which one you choose is just a function of some kind of mysterious intellectual preference for how to generalize inherently ungeneralizeable things — what I previously described as “extrapolating a three-dimensional shape from its two-dimensional reinforcement-learning shadow”.
Fetishes are the same way. Here the evolutionary message provides semi-labeled data, giving people weird feelings when they see certain kinds of curvy, smooth-skinned people. Then people try to generalize that into an idea of what’s sexy. Usually their category is centered (in the sense that the category “bird” is centered around “sparrow” and not “ostrich”) around something close to procreative heterosexual sex. Other times they generalize in some very unexpected way, and are only attracted to cartoon mice. I think if we understood the laws of generalization, this would make sense. It would seem like a reasonable mistake that someone using Occam’s Razor and all the rest of the information-theoretic toolkit for generalization could make. But we don’t really understand those laws beyond faint outlines, so instead we’re reduced to YKINMKBYKIOK.
August 19, 2023
QotD: The third system (or “Modern system”) of war
Armies in this modern system [discussed here] still aim to control territory, as with second-system war, but they no longer square off in open fields. Rather, relying on cover and concealment to mitigate the overwhelming firepower a modern battlefield covered with machine guns, artillery and airpower, they aim to disorient and overwhelm the decision-making capabilities of their enemy with lightning mechanized offensives.
What happens when two current-day modern systems meet? We don’t really know, though there is a lot of speculation. One of the things which made the conflict between Azerbaijan and Armenia so closely watched last year (in 2020, for those reading this later) was that it provided a chance to see two sides both with (sometimes incomplete) access to the full modern kit of war – not only tanks, jets and artillery, but cyber warfare, drones and so on. The results remain to be much discussed analyzed, but it may well be that a fourth system of war is in the offing, defined by the way that drone-based airpower combined with electronic surveillance and cyber-warfare redefined the battle-space and allowed Azerbaijan in particular to project firepower deep into areas where Armenian forces considered themselves safe.
But I shouldn’t get too off track. The point of all of this is that these systems of war are not merely different, they are so radically different that armies created in one system often fundamentally fail to understand the others (thus the tendency for second and third system armies to treat first system war as some strange new innovation in war, when it is in fact the oldest system by far). As we’re going to see, the aims, experiences and outcomes of these systems are often very different. They demand and inculcate different values and condition societies differently as well.
Bret Devereaux, “Collections: The Universal Warrior, Part IIa: The Many Faces of Battle”, A Collection of Unmitigated Pedantry, 2021-02-05.
August 15, 2023
QotD: Iron ore processing in pre-industrial societies
Once our ore reaches the surface (or is removed from its open pit) it is not immediately ready for smelting, but has to go through a series of preparatory steps collectively referred to as “dressing” to get the ore ready for its date with the smelter […]
Ore removed from the mine would need to be crushed, with the larger stones pulled out of the mines smashed with heavy hammers (against a rock surface) in order to break them down to a manageable size. The exact size of the ore chunks desired varies based on the metal one is seeking and the quality of the local ore. Ores of precious metals, it seems, were often ground down to powder, but for iron ore it seems like somewhat larger chunks were acceptable. I’ve seen modern experiments with bloomeries […] getting pretty good results from ore chunks about half the size of a fist. Interestingly, Craddock notes that ore-crushing activity at mines was sufficiently intense that archaeologists can spot the tell-tale depressions where the rock surface that provided the “floor” against which the ore was crushed have been worn by repeated use.
Ore might also be washed, that is passed through water to liberate and wash away any lighter waste material. Washing is attested in the ancient world for gold and silver ores (and by Georgius Agricola for the medieval period for the same), but might be used for other ores depending on the country rock to wash away impurities. The simple method of this, sometimes called jigging, consisted of putting the ore in a sieve and shaking it while water passed through, although more complex sluicing systems are known, for instance at the Athenian silver mines at Laurium (note esp. Healy, 144-8 for diagrams); the sluices for washing are sometimes called buddles. Throughout these processes, the ore would also probably be hand-sorted in an effort to separate high-grade ore from low-grade ore.
It’s clear that this mechanical ore preparation was much more intensive for higher-value metals where making sure to be as efficient as possible was a significant concern; gold and silver ores might be crushed, sorted, washed and rewashed before being ground into a powder for the final smelting process. Craddock presents a postulated processing set for copper ore for the Bronze Age Timna mines that goes through a primary crushing, hand-sorted division into three grades, secondary crushing, grinding, a winnowing step for the low-grade ore (either air winnowing or washing) before being blended into the final smelter “charge”.
As far as I can tell, such extensive processing for iron was much less common; in many cases it seems it is hard to be certain because the sources remain so focused on precious metal mining and the later stages of iron-working. Diodorus describes the iron ore on Elba as merely being crushed, roasted and then bloomed (5.13.1) but the description is so brief it is possible that he is leaving out steps (but also, Elba’s iron ore was sufficiently rich that further processing may not have been necessary). In many cases, iron was probably just crushed, sorted and then moved straight to roasting […]
Bret Devereaux, “Iron, How Did They Make It? Part I, Mining”, A Collection of Unmitigated Pedantry, 2020-09-18.
August 11, 2023
The Weirdest Boats on the Great Lakes
Railroad Street
Published 5 May 2023Whalebacks were a type of ship indigenous to the Great Lakes during the late 1890s and mid 1900s. They were invented by Captain Alexander McDougall, and revolutionized the way boats on the Great Lakes handled bulk commodities. Unfortunately, their unique design was one of the many factors which led to their discontinuation.
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August 6, 2023
August 3, 2023
“Tech giants” obey the law and block access to Canadian news sites to Canadian users
For some reason — despite a clamour of warnings from sensible observers — the Canadian government still seems shocked and surprised that the much-reviled “tech giants” have chosen to obey the new Online News Act and are actively blocking links to Canadian media outlets just as the law requires:
For months, supporters of Bill C-18, the Online News Act, assured the government that Meta and Google were bluffing when they warned that a bill based on mandated payments for links was unworkable and they would comply with it by removing links to news from their platforms. However, what has been readily apparent for months became reality yesterday: Meta is now actively blocking news links and sharing on its Facebook and Instagram platforms. The announcement does not reference Threads, but it would not surprise if news links are ultimately blocked on that platform as well. The company says that the blocking will take several weeks to fully roll out to all users, suggesting that it has learned from the over-blocking mistakes made in Australia and is proceeding more cautiously in Canada. By the end of the month, the world’s largest social media platform will become a news desert in Canada, with links to all news – both Canadian and foreign – blocked on the platform.
It is worth revisiting that it was only a couple of months ago that some industry leaders, lobbyists, and academics were assuring the Senate that the Meta threat was just a bluff. Kevin Desjardins of the Canadian Association of Broadcasters, referenced the Australian experience, and told the Senate committee studying the bill that “when legislated to do so, they will come to the table”. Sylvain Poisson of Hebdos Quebec confidently said “they made those threats in Australia and elsewhere and every time they back down”. Chris Pedigo of the U.S.-based Digital Context Next assured the committee “it’s important to understand what happens when these bills become law. In Australia, they moved quickly to secure deals. They have done similar work in Europe, and I expect it would happen quickly in Canada as well.” And Carleton professor Dwayne Winseck said “I am not worried. The threats they are making, they are doing this all around the world.”
Despite the assurances, the company was true to its word and blocking news links is now here. If this is a negotiation tactic, it’s a pretty strange one given that reports indicate the company is not talking to the government about potential changes to a law that has already received royal assent. Indeed, while the new Heritage Minister Pascale St-Onge urged the company to participate in the regulatory process, there is nothing in the regulations that could alter the fundamental principle in the bill of mandated payments for links. At best, the government could toss aside its commitment to stay out of negotiations by using the regulations to dictate to the supposedly independent CRTC how much needs to be spent in order to avoid Bill C-18’s final offer arbitration provisions. Government negotiating total payment value and eviscerating the CRTC’s independence does not inspire confidence and Meta reasonably wants no part of it, since the time to fix Bill C-18 was before it received royal assent, not after.
Bolded section mine: I didn’t realize that it wasn’t just Canadian media links that were being blocked … it’s all news sites in the world being hidden from Canadian users. That’s an escalation from what I’d originally understood. I don’t blame the “tech giants” at all, but it will be tough on older Canadians who’ve been depending on social media to keep them up-to-date on domestic and foreign news.
July 30, 2023
Letting a UN agency police “disinformation” online? What a great idea! With the best of intentions! What could possibly go wrong?
Savroula Pabst outlines the United Nations Development Program’s new online anti-disinformation tool, iVerify:
The United Nations Development Programme (UNDP) has quietly announced the rollout of an automated anti-disinformation tool, iVerify, this spring. The instrument, initially created to support election integrity, centers a multi-stakeholder approach spanning the public and private sectors to “provide national actors with a support package to enhance identification, monitoring and response capacity to threats to information integrity”.
The UNDP demonstrates how iVerify works in a short video, where anyone can send articles to iVerify’s team of local “highly-trained” fact-checkers to determine if “an article is true or not”. The tool also uses machine learning to prevent duplicate article checks, and monitors social media for “toxic” content which can then be sent to “verification” teams of fact-checkers to evaluate, making it a tool with both automated- and human-facilitated elements.
On its website, the UNDP makes a blunt case for iVerify as an instrument against “information pollution“, which they describe as an “overabundance” of harmful, useless or otherwise misleading information that blunts “citizens’ capacity to make informed decisions”. Identifying information pollution as an issue of urgency, the UNDP claims that “misinformation, disinformation, and hate speech threaten peace and security, disproportionately affecting those who are already vulnerable”.
But, behind this rhetoric of fact-checking expertise and protecting society’s most marginalized, iVerify, as a tool functionally claiming an ability to separate the true from the false, actually provides governments, adjacent institutions, and the global elite an opportunity for unprecedented dismissal, and perhaps thus subsequent censorship, of dissenting perspectives and inconvenient information and reporting, all behind the pedigree of a UN institution with international reach.














