WEBVTT

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Usually when you're navigating the physical world,

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a sign post is supposed to give you a very clear,

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singular direction, you know? Right. Yeah. It

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has one job. Exactly. Like, you see a sign for

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the airport, you follow it, and you end up at

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the airport. It's a straight one -to -one relationship.

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You don't follow the airport sign and accidentally

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end up at, I don't know, a bakery or a secret

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underground bunker. Or a theoretical mathematics

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convention. Right. because ambiguity in physical

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space usually leads to disaster. Oh, total chaos.

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We absolutely expect our labels to be highly

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specific. A single word or an acronym should

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ideally map to one distinct reality. It's basically

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how we keep our daily routines from just dissolving.

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But then you step into the architecture of how

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we categorize human knowledge online, and suddenly

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that reliable signpost just shatters. Yeah, it

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completely breaks down. You knock on a door expecting

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one specific room. and you find yourself looking

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down a hallway with five completely different

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doors, each leading to a totally alien universe.

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And that is exactly the landscape we are navigating

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today in this deep dive. It's a really wild landscape

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too. It is. And we aren't dissecting some dense

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academic research paper or a best -selling book

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today. The source material that you, the listener,

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provided us is a single literal artifact of the

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modern internet a snapshot of the internet really

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exactly it's the raw text of a wikipedia disambiguation

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page for the acronym umap specifically retrieved

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on march 18th 2026 Which is such a brilliant

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starting point. I mean, a disambiguation page

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is essentially a monument to human collision.

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A monument to human collision. I like that. Yeah,

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it's the bureaucratic infrastructure that kicks

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in when completely different sectors of human

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endeavor happen to stumble upon the exact same

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four -letter combination to describe their work.

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Okay, let's unpack this because before we even

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get to what UMA actually stands for in these

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different worlds, we have to acknowledge the

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physical or I guess, digital reality of the document

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we're looking at. Right. The document itself

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is fascinating. Yeah. We didn't just get the

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definitions. We got the entire raw user interface

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text scraped directly from the Wikipedia page.

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All the messy bits. All of it. Like, I'm looking

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at source lines that say, jump to content and

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main menu and move to sidebar hide. It's like

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seeing the code in the matrix. Totally. We have

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the login prompts, the search bar parameters.

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We basically took a photograph of human knowledge

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and accidentally caught all the scaffolding in

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the background. And that scaffolding is arguably

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just as important as the knowledge itself. I

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mean, we are looking at a machine designed to

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organize human thought, and we can literally

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see all the gears and levers sticking out. Yeah,

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you really can. It immediately frames this not

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just as a list of definitions, but as a problem

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of information architecture. Like, how do you

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separate the data scientists looking for an algorithm

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from the student looking to study abroad? The

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internet has to act as the traffic cop. Exactly.

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So I want to start by looking at how this acronym

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functions in the digital spaces we inhabit every

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day. The first UMP listed here is the International

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Conference on User Modeling. adaptation and personalization.

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That's a mouthful. It really is. But when I read

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that, my mind immediately goes to the concept

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of a digital tailor. Oh, interesting. How so?

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Well, instead of measuring your inseam or your

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shoulders, this tailor is measuring your click

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-through rates, your dwell time on a video, your

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purchase history. I see the tailor analogy, yeah.

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But I'd argue the reality is far more structural

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than just stitching together a custom feed. More

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structural. Yeah, because user modeling isn't

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just about giving you recommendations. It's about

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building a mathematical proxy of your psychology.

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Wait, a mathematical proxy of my psychology?

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Exactly. The systems discussed at a conference

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like this are designed to predict your future

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state based on your past behavior. It's the science

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of the algorithm conforming the environment to

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the individual. Okay, wow. It's anticipating

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friction and removing it before you even consciously

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register it. So it's less about making a custom

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suit and more about shifting the entire layout

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of the store before I even walk through the door.

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based on where the system thinks I want to walk.

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Precisely. And what's fascinating here is how

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that highly automated system -driven concept

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directly contrasts with the second UMAPI on our

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list. Right, the mapping tool. Yeah, UMAP, tool

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for creating custom maps and publishing them

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online. And notice the lowercase u there. Right,

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there's a note in the source. to see Wikidata

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for that one. And the contrast there is stark.

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It really is night and day. If the first UMP

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is the system modeling me, UMAP is me taking

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the tools to model the system, or rather the

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world. It's open source utility. Think about

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the power dynamics of spatial data for a second.

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For a long time, mapping was exclusively the

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domain of empires, states, and eventually massive

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tech corporations. The map was handed down to

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you. You just used what Google or whoever gave

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you. Exactly. An open source mapping tool reverses

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that vector. It gives the individual the infrastructure

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to define their own spatial reality. That makes

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sense. You aren't just a glowing blue dot on

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a corporate grid anymore. You are drawing the

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boundaries. placing the pins for community resources

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or tracking local environmental changes and publishing

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that perspective globally. You're moving from

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being the subject of the map to the author of

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the map. Beautifully put, yeah. Just consider

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how much of your daily tech experience relies

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entirely on the tension between these two specific

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pillars. You open a social app and the interface

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is perfectly curated for your specific behavioral

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quirks. Which is the user modeling and personalization.

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Right. But then you pivot to a community driven

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platform to organize local mutual aid or map

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out a neighborhood project. And that's you creating

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the custom map. Exactly. Your entire digital

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life is a pendulum swinging between being modeled

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by an algorithm and wheeling an algorithm to

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model your environment. It is the fundamental

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push and pull of the modern Internet. Are we

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the data or are we the architects? I love that.

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Are we the data or the architect? And that tension

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between massive systems and individual movement

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actually creates a perfect bridge to the third

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UMP on the disambiguation page. Which takes us

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out of the digital realm entirely. Right, it

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drops us into the physical world. Specifically

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university mobility in Asia and the Pacific.

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The sheer scale of that phrase is staggering.

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It is. I have a real issue with the specific

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word choice here though. Really? Which word?

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Mobility. Why use mobility? In normal conversation,

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if we're talking about students going to different

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countries, we use terms like exchange or study

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abroad. True, we do. An exchange sounds like

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a simple bilateral swap. One student from Tokyo

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goes to Sydney, one student from Sydney goes

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to Tokyo. Close and easy. But mobility implies

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something much heavier. It sounds industrial.

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It sounds like the infrastructural pumping of

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ideas and bodies across a geographic zone. It

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sounds industrial because it has to be. You're

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reacting to the bureaucratic weight of the word,

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which is entirely intentional. Intentional. How

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so? Well, when an institution uses the term mobility

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instead of exchange, they are signaling that

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they aren't just managing trips. They're building

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a permanent pipeline. OK. That makes sense. We

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are talking about the Asia Pacific region here.

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This isn't two sister colleges in neighboring

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towns. This is a massive geopolitical block.

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Huge. Encompassing wildly distinct cultures,

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entirely different governmental structures and

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vastly varying economic realities. And the friction

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of moving a human being across those borders

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is immense. You have visa pipelines, language

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barriers, housing logistics. Not to mention the

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academic friction. Oh, right. It is transferring

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and all that. Exactly. How do you ensure that

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a credit hour earned in a developing economies

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engineering program translates seamlessly to

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a degree requirement in a highly developed nation's

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university? That sounds like a nightmare. It

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is. You need standardization. You are literally

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engineering human mobility by creating a unified

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academic currency. Which is why packaging this

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deeply complex multinational logistical nightmare

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into a friendly four letter acronym, UMAP, is

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such a brilliant piece of branding. It really

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softens the blow. It does. University Mobility

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in Asia and the Pacific sounds like an intimidating

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international treaty that requires a team of

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lawyers to navigate. Definitely. But UMAP sounds

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like a helpful portal. into at the registrar's

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office. It takes the terrifying scale of international

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bureaucracy and makes it sound like a sleek,

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approachable consumer product. That is exactly

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the function of acronyms in large -scale governance.

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They are linguistic shock absorbers. Linguistic

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shock absorbers. Yeah, they compress terrifying

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complexity into a digestible sound bite. So we've

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gone from the digital algorithms mapping our

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behavior to the infrastructural pipelines moving

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students across oceans. But the source document

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then throws us into a juxtaposition that I still

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can't quite wrap my head around. Oh, the next

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two are a wild ride. We are entering two domains

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that sit at the absolute furthest extremes of

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human experience. Here's where it gets really

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interesting. Brace yourself. I'm going to read.

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I picture an incredibly complex multi -dimensional

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origami shape. It has folds inside of folds.

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And it exists in, say, 10 or 15 dimensions, which

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the human brain physically cannot comprehend.

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Right, you can't just draw it on a piece of paper.

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No, you can't understand it by just looking at

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it. So you take a very bright, highly calibrated

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light, you shine it on this impossibly complex

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shape, and you study the two -dimensional or

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three -dimensional shadow it casts on the wall.

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Am I completely off base with that analogy? The

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origami shadow is actually an excellent conceptual

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starting point. Good. But the mechanism behind

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why we need to do this is even more compelling.

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In data science, you frequently deal with data

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sets that have thousands of variables or dimensions.

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Like what kind of data? Think of a genetic sequence

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or the behavioral vectors we talked about earlier

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with user personalization. Machine learning models

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choke on that level of high dimensional complexity.

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It's too much math. Exactly. The computational

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power required to find patterns in 10 ,000 dimensions

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is prohibitive. So the math has to flatten it

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out. Exactly. But here is the critical problem.

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When you flatten a 3D object into a 2D shadow,

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you lose a massive amount of information. Sure,

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because it overlaps. Right. Two points that are

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far apart on the 3D origami shape might overlap

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and look perfectly identical in the 2D shadow.

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Ah, I see. So what uniform manifold approximation

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and projection does using some incredibly dense

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topological data analysis is flatten that high

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-dimensional data while mathematically fighting

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to preserve the local structures and relationships.

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Fighting to preserve them. Yes. It tries to ensure

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that if two data points were closely related

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in a thousand dimensions, they remain closely

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related in the two -dimensional shadow. It's

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essentially drawing a map of a universe we can't

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see in a language we can actually read. It's

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a pure, ethereal extraction. Pure math. Which

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makes the next entry on the same Wikipedia page

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feel like hitting a brick wall at 60 miles an

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hour. It's severe pivot. Because sitting right

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next to the pinnacle of theoretical mathematics

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is the fifth UMAP, Military Units to Aid Production.

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If we connect this to the bigger picture... The

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whiplash between those two concepts tells profound

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story about human organization. It really does.

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We just left the theoretical space of preserving

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data topology and now we are standing in the

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mud and the exhaust fumes of stark physical labor.

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I'm fascinated by the phrasing of military units

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to aid production. Those words don't naturally

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sit next to each other in our modern sensibilities.

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No, they seem like a contradiction. The immediate

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association with military is the application

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of source. It's defense, warfare, destruction,

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or at least the threat of it. But to aid production

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is the vocabulary of agriculture, of industry,

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of creation. You're reacting to the civilian

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military divide, which is honestly a relatively

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privileged historical position. What do you mean?

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Well, fundamentally, what is a military? Before

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it is a weapon, it's an engine of logistics.

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It is the most organized, disciplined, and logistically

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capable body of citizens a state possesses. That's

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true. They move a lot of stuff. Tons of it. It

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has built -in supply chains, hierarchical command

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structures, and the ability to move massive amounts

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of material very quickly. So when a state...

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points that logistical engine inward instead

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of outward. Exactly. When a state utilizes its

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military not for combat, but to harvest crops,

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build civilian infrastructure or run factories,

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it reveals a command economy operating under

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extreme stress or sometimes a specific ideological

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framework. Like during a war. Yes, it happens

00:12:55.580 --> 00:12:58.840
during total war or severe national crises where

00:12:58.840 --> 00:13:01.399
the line between the soldier and the worker is

00:13:01.399 --> 00:13:04.320
deliberately erased by the state. The military's

00:13:04.320 --> 00:13:07.240
capability for mass mobilization is simply redirected

00:13:07.240 --> 00:13:09.820
from destroying the enemy's infrastructure to

00:13:09.820 --> 00:13:12.139
artificially propping up its own. It's taking

00:13:12.139 --> 00:13:14.320
the machinery of war and plugging it directly

00:13:14.320 --> 00:13:16.960
into the assembly line of civil society. It's

00:13:16.960 --> 00:13:20.460
a deeply grounded, sweat equity reality. And

00:13:20.460 --> 00:13:22.919
the fact that this labor intensive, historically

00:13:22.919 --> 00:13:25.620
loaded deployment of state resources shares its

00:13:25.620 --> 00:13:27.639
exact name with the algorithm data scientists

00:13:27.639 --> 00:13:30.940
use to project multi -dimensional data. It perfectly

00:13:30.940 --> 00:13:32.940
encapsulates the strange poetry of the internet.

00:13:33.000 --> 00:13:36.320
It really does. We have spanned the entire spectrum

00:13:36.320 --> 00:13:39.179
of human capability in five bullet points. It's

00:13:39.179 --> 00:13:42.159
all there. We have the system modeling the individual,

00:13:42.419 --> 00:13:44.860
the individual mapping the world, the infrastructural

00:13:44.860 --> 00:13:47.379
movement of bodies, the theoretical projection

00:13:47.379 --> 00:13:50.059
of data, and the state mobilization of labor.

00:13:50.259 --> 00:13:53.259
We've explored the five distinct universes hiding

00:13:53.259 --> 00:13:55.820
behind the acronym. But I want to turn the lens

00:13:55.820 --> 00:13:58.120
back onto the source document itself because

00:13:58.120 --> 00:14:00.340
the way this information is presented to the

00:14:00.340 --> 00:14:03.259
world is just as revealing as the definitions.

00:14:03.639 --> 00:14:06.379
The meta layer. Yeah. The raw text you shared

00:14:06.379 --> 00:14:09.399
with us is absolutely loaded with metadata. So

00:14:09.399 --> 00:14:11.179
what does this all mean? Look at the bottom of

00:14:11.179 --> 00:14:14.080
the document. Interwoven with all this serious

00:14:14.080 --> 00:14:16.779
heavy talk about military production and mathematical

00:14:16.779 --> 00:14:20.100
projection, we have these deeply specific user

00:14:20.100 --> 00:14:22.379
interface elements. The Wikipedia scaffolding.

00:14:22.559 --> 00:14:24.700
Right. It notes that the text is available under

00:14:24.700 --> 00:14:27.100
the Creative Commons Attribution Share Like 4

00:14:27.100 --> 00:14:30.059
.0 license. It tells us the page is currently

00:14:30.059 --> 00:14:32.360
in light mode. It notes that the short description

00:14:32.360 --> 00:14:34.899
is different from Wikidata. Standard boilerplate

00:14:34.899 --> 00:14:37.919
stuff. But the absolute best part, the thing

00:14:37.919 --> 00:14:40.840
I cannot stop thinking about, is this line near

00:14:40.840 --> 00:14:44.470
the top. regarding the appearance settings. Birthday

00:14:44.470 --> 00:14:49.330
Mode, Baby Globe. One, enabled. Learn more about

00:14:49.330 --> 00:14:52.409
Birthday Mode. It's a surreal collision of contexts.

00:14:52.809 --> 00:14:55.610
I picture a frantic policy student urgently researching

00:14:55.610 --> 00:14:58.909
Asian Pacific University mobility, or a data

00:14:58.909 --> 00:15:01.610
engineer sweating over a manifold approximation

00:15:01.610 --> 00:15:04.330
formula, and the underlying architecture of the

00:15:04.330 --> 00:15:06.649
system they are relying on is cheerfully informing

00:15:06.649 --> 00:15:09.909
them that Birthday Mode, Baby Globe. is enabled.

00:15:10.090 --> 00:15:12.929
It's so funny. It is such a quirky humanizing

00:15:12.929 --> 00:15:15.850
detail framing our consumption of serious knowledge.

00:15:16.490 --> 00:15:18.370
But it also highlights the vulnerability of the

00:15:18.370 --> 00:15:20.889
whole system. This monument of human knowledge

00:15:20.889 --> 00:15:22.929
is sitting on a consumer software interface.

00:15:23.169 --> 00:15:25.110
And this raises an important question about the

00:15:25.110 --> 00:15:27.129
hidden infrastructure of how we actually learn

00:15:27.129 --> 00:15:30.129
and categorize reality today. We completely take

00:15:30.129 --> 00:15:31.990
for granted that we can type a string of letters

00:15:31.990 --> 00:15:34.129
into a box and immediately find its meaning.

00:15:34.409 --> 00:15:37.090
We just expect it to work. Right. But look at

00:15:37.090 --> 00:15:40.169
the mechanisms making that possible. That Creative

00:15:40.169 --> 00:15:43.629
Commons attribution share like 4 .0 license is

00:15:43.629 --> 00:15:47.009
not just legal filler. It is a radical foundational

00:15:47.009 --> 00:15:49.769
philosophy. Radical. In what way? It is the legal

00:15:49.769 --> 00:15:52.009
mechanism that allows all of this knowledge to

00:15:52.009 --> 00:15:55.009
be extracted, modified, and redistributed freely

00:15:55.009 --> 00:15:57.470
across the globe without triggering a cascade

00:15:57.470 --> 00:16:00.240
of copyright lawsuits. Oh, wow. It's the legal

00:16:00.240 --> 00:16:03.279
protection for the origami shadow. Exactly. And

00:16:03.279 --> 00:16:06.059
that brief, almost invisible note about Wikidata,

00:16:06.480 --> 00:16:10.179
that is the true semantic web at work. Wikipedia

00:16:10.179 --> 00:16:13.320
is for humans. Wikidata is for machines. Right.

00:16:13.480 --> 00:16:15.700
Wikidata is the code. It is the machine -readable

00:16:15.700 --> 00:16:18.500
backbone that tells a global algorithm that the

00:16:18.500 --> 00:16:21.159
English acronym for uniform manifold approximation

00:16:21.159 --> 00:16:24.539
relates to a specific mathematical concept, not

00:16:24.539 --> 00:16:27.000
to a military production unit in another language.

00:16:27.340 --> 00:16:29.500
So the disambiguation page we're looking at,

00:16:29.860 --> 00:16:32.440
this specific document, is essentially the human

00:16:32.440 --> 00:16:34.259
-readable version of that same traffic control

00:16:34.259 --> 00:16:36.580
system. Yes. It recognizes that human language

00:16:36.580 --> 00:16:38.860
is inherently flawed. It is duplicative. We run

00:16:38.860 --> 00:16:40.539
out of combinations of letters, so we recycle

00:16:40.539 --> 00:16:42.600
them. We do it constantly. Without this page

00:16:42.600 --> 00:16:45.799
acting as the usher, a military historian searching

00:16:45.799 --> 00:16:49.700
for units to aid production might get hopelessly

00:16:49.700 --> 00:16:52.460
lost in a thousand -page theoretical paper about

00:16:52.460 --> 00:16:55.279
topological data analysis. Which would be a disaster

00:16:55.279 --> 00:16:58.110
for them. The disambiguation page is the system

00:16:58.110 --> 00:17:00.889
acknowledging our linguistic limits and patiently

00:17:00.889 --> 00:17:03.389
sorting us into the correct realities. It prevents

00:17:03.389 --> 00:17:05.930
the exact chaos we discussed at the very beginning

00:17:05.930 --> 00:17:09.230
of our conversation. It provides the clear singular

00:17:09.230 --> 00:17:11.890
direction that physical signposts offer, but

00:17:11.890 --> 00:17:14.990
adapted for the infinite sprawl of digital knowledge.

00:17:15.410 --> 00:17:17.710
This has been a genuinely incredible journey,

00:17:17.990 --> 00:17:20.309
stemming from a single four letter prompt. It

00:17:20.309 --> 00:17:22.250
really has. Just to pull all of this together,

00:17:22.849 --> 00:17:26.450
we began with UMA. as a battleground of digital

00:17:26.450 --> 00:17:29.150
space, looking at the algorithms that build models

00:17:29.150 --> 00:17:31.710
of our personal behavior and contrasting that

00:17:31.710 --> 00:17:33.690
with the open source tools we use to map our

00:17:33.690 --> 00:17:35.970
own realities. The digital tension. Then we traveled

00:17:35.970 --> 00:17:38.309
across the physical vastness of the Asia -Pacific

00:17:38.309 --> 00:17:41.470
region to dissect the massive bureaucratic friction

00:17:41.470 --> 00:17:44.410
involved in institutional student mobility. We

00:17:44.410 --> 00:17:47.210
dove into the deepest, most abstract waters of

00:17:47.210 --> 00:17:49.630
multi -dimensional mathematical projection to

00:17:49.630 --> 00:17:52.509
understand how we flatten unreadable data into

00:17:52.509 --> 00:17:55.500
something useful. We then immediately slammed

00:17:55.500 --> 00:17:58.279
into the grounded physical reality of states

00:17:58.279 --> 00:18:00.920
deploying military logistics for industrial production.

00:18:01.359 --> 00:18:03.880
Quite the whiplash. And finally, we pulled back

00:18:03.880 --> 00:18:06.859
to realize that all of these completely disparate,

00:18:06.880 --> 00:18:10.319
massive human endeavors are quietly held together

00:18:10.319 --> 00:18:13.000
by the open source Creative Commons licensed

00:18:13.000 --> 00:18:16.390
Baby Globe. enabled infrastructure of Wikipedia.

00:18:16.710 --> 00:18:19.390
It is a profound testament to how complex, messy,

00:18:19.690 --> 00:18:22.450
and wonderfully weird the human attempt to categorize

00:18:22.450 --> 00:18:24.890
the universe actually is. For the listener who

00:18:24.890 --> 00:18:26.829
sent this source material in, thank you. This

00:18:26.829 --> 00:18:28.569
is absolute proof that you do not need to bring

00:18:28.569 --> 00:18:31.869
us a dense 500 -page textbook to spark a deep

00:18:31.869 --> 00:18:33.789
realization about how the world works. Not at

00:18:33.789 --> 00:18:35.490
all. Sometimes you just need to stop and look

00:18:35.490 --> 00:18:37.490
incredibly closely at the digital signposts we

00:18:37.490 --> 00:18:40.079
blindly scroll past every single day. And I want

00:18:40.079 --> 00:18:42.200
to leave you, the listener, with a final thought

00:18:42.200 --> 00:18:44.980
to take with you. Think about a highly specific

00:18:44.980 --> 00:18:47.559
piece of jargon or an acronym that you use every

00:18:47.559 --> 00:18:49.740
single day. Oh, that's a great exercise. Maybe

00:18:49.740 --> 00:18:52.220
it's a billing code at your job, a shorthand

00:18:52.220 --> 00:18:55.099
in your favorite hobby, or a specific term in

00:18:55.099 --> 00:18:57.940
your academic field. To you and your immediate

00:18:57.940 --> 00:19:00.740
peers, that arrangement of letters means one

00:19:00.740 --> 00:19:04.339
exact unshakable thing. It is the center of your

00:19:04.339 --> 00:19:07.180
professional or personal universe. Right. But

00:19:07.180 --> 00:19:09.319
if someone were to pull up a global disambiguation

00:19:09.319 --> 00:19:12.460
page for your specific acronym, what completely

00:19:12.460 --> 00:19:15.799
alien worlds might it overlap with? What entirely

00:19:15.799 --> 00:19:17.779
different group of people is using your exact

00:19:17.779 --> 00:19:20.619
same words to describe a reality you know absolutely

00:19:20.619 --> 00:19:22.880
nothing about? Because at the end of the day,

00:19:23.279 --> 00:19:25.079
you might think you're confidently turning the

00:19:25.079 --> 00:19:28.180
knob on a door with a clear familiar label, but

00:19:28.180 --> 00:19:30.660
as this single sheet of internet scaffolding

00:19:30.660 --> 00:19:33.440
has shown us, you never quite know which universe

00:19:33.440 --> 00:19:34.700
is waiting on the other side.
