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Imagine you're an IT professional. Just picture

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it. A massive critical server goes down right

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in the middle of the workday. Oh, absolute nightmare

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scenario. Panic everywhere. Right. Total panic.

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So what do you do? You do the logical thing.

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You ignore it completely. You go home, get a

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good night's sleep. And by Thursday morning,

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the server has just spontaneously rewired its

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own circuitry. Just fixed itself. Magic. Exactly,

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functioning perfectly without you ever touching

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a single cable. I mean, it sounds completely

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absurd, right? Something out of a really bad,

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low -budget science fiction movie. Yeah, if an

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IT guy pitched that to his boss, he'd be fired

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on the spot. Oh, 100%. But here's the crazy part.

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If you are a teacher, that kind of, you know,

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spontaneous resolution, it isn't magic. It is

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just a regular Tuesday in a classroom. Yeah.

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And that contrast, that exact contrast, really

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is the heart of the disconnect we see every single

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day. Because we expect things to act like the

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server, right? Exactly. We carry this deep -seated

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societal belief that technology fundamentally

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equals solutions. Like, we expect a straight

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unbroken line from implementing a tool to seeing

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an immediate improvement. But then reality hits.

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Right. When you drop that exact same technology

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into a highly complex, deeply human environment,

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like a school, for instance, that straight line

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instantly tangles into just an unrecognizable

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knot. It just completely breaks down. does, instead

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of this frictionless efficiency we were promised,

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you often trigger a whole new web of entirely

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unanticipated systemic issues. And that is exactly

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our mission for you today. We are going to untangle

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why technology, which is engineered from the

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ground up to make life easier, so consistently

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creates absolute chaos when it collides with

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the classroom. The fascinating collision, really.

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It is. And to do that, we're grounding our discussion

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in this really insightful piece by Dr. Gary L.

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Ackerman. It was published on his site, hackscience

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.education, and it's titled, Comparing IT and

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Education. So, okay, let's untack this. Because

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our goal for this deep dive is to explore the

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fundamental clash between how IT professionals

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view the world and how educators view the world.

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And it's a massive gap. Huge. And understanding

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this gap is essentially the ultimate shortcut

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to making sense of, well, basically any tech

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rollout you will ever experience in your life.

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Yeah, and to set the baseline here, Ackerman

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is pushing far past the basic observation that,

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like, fixing a network and teaching a room full

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of teenagers are simply different jobs. Right,

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it's not just one works with computers, one works

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with kids. Exactly. He is arguing something deeply

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philosophical. He proposes that IT professionals

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and educators are actually operating in entirely

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different paradigms of reality. Wow, different

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realities. Yeah, they require vastly different

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knowledge bases, different skill sets, and fun

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mentally different daily habits just to survive

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the underlying physics of their respective domains.

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I love that phrase, the underlying physics of

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their domains. So to truly grasp the mechanics

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of why these two worlds collide with such force,

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we first need to define a phrase we all throw

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around constantly, which is what it actually

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means to solve a problem. Oh, right. We say that

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all the time. I solve the problem. Exactly. But

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Ackerman refuses to let us use that phrase loosely.

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He provides a really precise two -part framework.

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First, there's the framing of the problem. Which

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is usually the hardest part, honestly. Right,

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because this requires defining what we believe

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the root cause to be, while simultaneously establishing

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the specific conditions that will prove the problem

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has been solved. You have to explicitly define

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the finish line before you take a single step.

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Yes. And then comes the second phase, which is

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the actual resolution. Right. So Ackerman defines

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solving a problem as taking direct action to

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reduce its immediate effects and subsequently

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taking structural action to prevent that specific

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problem from ever returning. Prevent it from

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ever coming back. Let me ground this in a tangible

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analogy. Consider fixing a leaky copper pike

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under your kitchen sink. Classic homeownership

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nightmare. Oh, the worst. But framing the problem

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is entirely objective, right? The root cause

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is a physical hole in the metal. The condition

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that proves it is solved is a dry floor. Right.

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You can see it. You can touch it. You can measure

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it. It's either wet or it's dry. Exactly. So

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to actually solve it, you patch the pipe or you

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replace the section entirely. That action stops

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the immediate effect, the water pooling on your

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new hardwood floor, and it prevents the structural

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leak from returning tomorrow. Right. And that

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leaky pipe represents the classic industrial

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model of problem solving. It is linear. It is

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physical. And above all, it is highly deterministic.

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Deterministic, meaning A always leads to B. Exactly.

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If you apply intervention A, the patch, you will

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definitively get outcome B, the dry floor. OK.

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But I have to push back a little on the idea

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that IT is this perfectly solvable utopia, though.

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Fair enough. Fair enough. Because anyone who

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has dealt with I don't know, phantom network

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drops or modern cloud -based AI systems that

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suddenly hallucinate data. Oh, the AI hallucinations

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are wild right now. They're crazy. So we all

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know that technology can be incredibly unpredictable.

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Is IT really as deterministic as that leaky pipe

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analogy suggests? Well, this raises an important

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question. How do different professional domains

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handle this exact definition of a problem? Because

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that is a crucial distinction to make. Modern

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technology is absolutely creeping toward complexity.

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We see that with AI. But Ackerman's argument

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centers on the foundational paradigm of the field.

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The core philosophy of IT. Exactly. At the end

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of the day, someone Somewhere wrote the code.

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The servers, the routers, the software architecture.

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These are fundamentally human -made, logically

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designed entities. Even the AI. Even an AI hallucination.

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It's just the result of mathematical weights

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and biases in a neural network. It lacks organic

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consciousness. So it's not a living thing, no

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matter how much it acts like one. Right. Because

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IT professionals know how the architecture is

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supposed to function, troubleshooting remains

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a systematic process of variable isolation. Which

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means the IT domain essentially operates on the

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assumption that all problems are fundamentally

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solvable. They operate on that assumption because

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their entire professional psychology is built

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on the foundation of absolute control. Absolute

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control. That's a strong way to put it. But think

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about it. When an IT professional encounters

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an error, they know it has a logical source.

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If they don't know the answer immediately, they

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have an abundance of deterministic resources.

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Like manuals and stuff? Yeah. They consult user

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manuals, hardware vendors. vast online repositories

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of documentation, forums like Stack Overflow.

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So they always have a roadmap. Right. They are

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never truly flying blind in the way a teacher

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often is. And the text points out that because

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of this infrastructure, IT problems rarely resolve

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without some kind of explicit intervention. Like

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we said at the start, a system does not heal

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itself. Never. It might be a distant, unknown

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automated protocol restarting a virtual server

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in a data center a thousand miles away. but a

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defined intervention always takes place. Which

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leads to highly visible universally agreed upon

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markers of success. The dry floor. Essentially.

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Exactly. When an IT problem is solved, the victory

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is undeniable. You see green lights blinking

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on the server rack signaling restored packet

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flow. You see operational computers booting up.

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Right. You see smiling users who can suddenly

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access their email again after an hour of panicking.

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The metric for success is objective and shared

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by everyone in the room. And that psychology

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of control shapes how they view the entire world.

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It has to. When you operate in a paradigm where

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Isolating a variable permanently eliminates a

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problem. You are trained to view the universe

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as a series of distinct isolated puzzles. You

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fix the router, the network is whole, and you

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move on to the next puzzle. But now we have to

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cross the border into the territory Dr. Ackerman

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contrasts this with. The classroom. Yes. We must

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examine what happens when the components of your

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system are not logically designed routers, but

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human beings. Right. And this is where we need

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to elevate the conversation to systems theory.

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Oh, I love this part. So helpful. So in IT, we

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are dealing with what engineers call a complicated

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system. Complicated, not complex. Exactly. A

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jet engine is complicated. It has millions of

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parts, right? Yeah. But if you know what every

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single part does, you can predict exactly how

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the engine will behave. Because it's ultimately

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deterministic. Right. Education, on the other

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hand, is a complex system. It is much more like

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a rainforest ecosystem. Which is a brilliant

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way to frame it. Yeah, the individual parts.

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The students, the teachers, the curriculum, the

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emotional states of everyone in the room, they

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interact in continuous dynamic ways that create

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emergent behaviors. You cannot possibly predict

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what will happen just by looking at the individual

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component. And that shift from complicated to

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complex shatters the linear problem -solving

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framework we just talked about. It throws the

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leaky pipe right out the window. Completely.

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Ackerman points out that in education, problems

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often cannot even be clearly stated, let alone

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traced back to a single isolated cause. Because

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you cannot isolate the variables in a 15 -year

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-old's life. You really can. Like, if a student

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is failing algebra, what is the root cause? Good

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luck figuring that out. Seriously. Did they miss

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a foundational concept in fourth grade? Are they

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experiencing a spike in social anxiety because

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of something that just happened in the cafeteria

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10 minutes ago? Or did they simply not sleep?

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Right. And you cannot just pull out the sleep

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component, patch it, and see if the algebra grade

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goes up. It doesn't work like a server rack.

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And because of this density of variables, treating

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a classroom like a server rack leads to disastrous

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results. Oh, absolutely. You use the ecosystem

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analogy, which perfectly captures Ackerman's

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point about interventions. In IT, you deploy

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a software patch to kill a bug, and the bug is

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gone. Whack -a -mole. Yeah, whack -a -mole. But

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in education, attempting a rigid solution is

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like introducing a new species of bird into a

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forest to control an insect population. Oh, this

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happens in ecology all the time. You spend a

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massive amount of time and budget bringing in

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these birds, just like a school district spends

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millions implementing a new standardized testing

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software. Right, the new fix -it -all tool. Exactly.

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But instead of just eating the insects, the birds

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also eat the seeds of a vital native tree, and

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then they drive away a native pollinator. The

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whole ecosystem reacts. It defends itself almost.

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Yeah. Ackerman notes that after considerable

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effort and expense, The original educational

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problem might remain completely untouched. Or

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the problem might simply shift to a different

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part of the system. Right. Or your so -called

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solution might trigger totally unanticipated

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secondary crises. And to understand the mechanics

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of this, we really have to look closely at the

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anomalies Ackerman highlights in the educational

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domain. The things that make IT professionals

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pull their hair out. Exactly. You mentioned the

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concept of spontaneous resolution in our opening.

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The magically fixing server. Right. To an IT

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professional, a problem fixing itself is an impossibility.

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But in a complex human system, it happens constantly.

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And it isn't magic. There are profound biological

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and sociological mechanisms driving it. Oh, totally.

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Like, a student struggling with a reading comprehension

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concept on Tuesday might perfectly grasp it by

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Thursday. Why? Because of neuroplasticity. Their

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brain was literally rewiring itself. Yes, subconsciously

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processing the mental model during REM sleep.

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Or, perhaps they had an entirely unrelated conversation

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with a peer in the hallway that provided a new

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analogy and it just unlocks a concept. The system

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self -corrected through emergent? unmapped interactions,

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interactions that no teacher or IT professional

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could ever track on a spreadsheet. Never. And

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this inherent subjectivity leads to another massive

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anomaly, Ackerman points out. What's that? In

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education, there is often profound disagreement

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among stakeholders that a problem even existed

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in the first place. You know, this blew my mind

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when I first read it. How can a system function

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if people cannot even agree on what is broken?

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Well, it comes down to a concept called proximity

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to the node. Proximity to the node. Explain that.

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Your definition of success depends entirely on

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where you sit within the ecosystem. Ah, perspective.

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Right. An administrator looking at a macro level

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spreadsheet might see a dip in standardized test

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scores and declare a systemic crisis. Sell me

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alarms. Exactly. And the proposed solution is

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usually a rigid, newly mandated curriculum software.

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Of course it is. But the teacher, who is operating

00:12:43.169 --> 00:12:45.769
at the micro level, looking at the actual human

00:12:45.769 --> 00:12:48.909
beings in the room, might see a cohort of students

00:12:48.909 --> 00:12:51.190
who are currently dealing with a community tragedy.

00:12:51.850 --> 00:12:54.750
To that teacher, the problem isn't the test scores

00:12:54.750 --> 00:12:57.830
at all, it's emotional regulation and trauma

00:12:57.830 --> 00:13:00.450
support. So if the stakeholders cannot agree

00:13:00.450 --> 00:13:03.370
on the root cause, they certainly cannot agree

00:13:03.370 --> 00:13:06.649
on the condition of success. Exactly. The administrator's

00:13:06.649 --> 00:13:09.029
green light is just a higher average test score

00:13:09.029 --> 00:13:11.169
next quarter. But the teacher's green light is

00:13:11.169 --> 00:13:13.649
a student making it through second period without

00:13:13.649 --> 00:13:16.529
having a panic attack. Right. The visual markers

00:13:16.529 --> 00:13:19.429
of victory that IT relies on, the blinking lights,

00:13:19.610 --> 00:13:23.090
the uptime, they simply do not exist in an objective,

00:13:23.110 --> 00:13:25.590
universal way in education. Here's where it gets

00:13:25.590 --> 00:13:28.649
really interesting. Because Ackerman argues that

00:13:28.649 --> 00:13:31.289
these wildly different paradigms are not flaws.

00:13:31.789 --> 00:13:33.730
They are necessary survival mechanisms. They

00:13:33.730 --> 00:13:36.250
have to be. Yeah. If an educator attempted to

00:13:36.250 --> 00:13:38.429
navigate the emotional volatility of a classroom

00:13:38.429 --> 00:13:41.649
using the rigid deterministic isolation of an

00:13:41.649 --> 00:13:44.090
IT professional, they would burn out in a week.

00:13:44.190 --> 00:13:46.169
Oh, they wouldn't last three days. Right. They

00:13:46.169 --> 00:13:48.730
would constantly feel like failures because human

00:13:48.730 --> 00:13:51.269
beings do not stay patched. They come unpatched

00:13:51.269 --> 00:13:54.720
every morning. And conversely, if an IT director

00:13:54.720 --> 00:13:58.080
accepted the educational mindset, that network's

00:13:58.080 --> 00:14:00.580
naturally experienced spontaneous resolution,

00:14:01.019 --> 00:14:03.519
and that network uptime is merely a subjective

00:14:03.519 --> 00:14:05.720
metric, depending on how the user feels. Oh my

00:14:05.720 --> 00:14:07.639
gosh, the school's infrastructure would collapse

00:14:07.639 --> 00:14:10.159
in a day. Total collapse. They have to inhabit

00:14:10.159 --> 00:14:14.080
these distinct realities to do their jobs effectively.

00:14:14.259 --> 00:14:16.240
Which brings up the central conflict of the modern

00:14:16.240 --> 00:14:18.799
era. These two groups are no longer permitted

00:14:18.799 --> 00:14:20.759
to stay safely inside their native environments.

00:14:20.799 --> 00:14:23.519
No, the borders are gone. Exactly. Technology

00:14:23.519 --> 00:14:25.740
is no longer an optional supplement in the school.

00:14:26.279 --> 00:14:28.580
It is the load -bearing infrastructure of modern

00:14:28.580 --> 00:14:31.759
teaching. They are forced to collaborate intimately

00:14:31.759 --> 00:14:34.259
every single day. Which brings us to the most

00:14:34.259 --> 00:14:37.419
critical part of Ackerman's thesis, the bridge.

00:14:37.919 --> 00:14:41.299
He states that this gap in worldviews absolutely

00:14:41.299 --> 00:14:45.059
must be bridged if IT systems are to be appropriately

00:14:45.059 --> 00:14:47.480
designed, properly configured, and reasonably

00:14:47.480 --> 00:14:50.200
supported. And we know this is a deep obsession

00:14:50.200 --> 00:14:53.100
for him. On the hackscience .education network,

00:14:53.299 --> 00:14:55.539
he even hosts a podcast called Greetrol Plus

00:14:55.539 --> 00:14:58.500
Classroom, and the episode titles reflect exactly

00:14:58.500 --> 00:15:01.320
this friction. Like what? Well, he has episodes

00:15:01.320 --> 00:15:03.679
titled, Configuration Matters with School IT

00:15:03.679 --> 00:15:07.100
and the Paradox of Moving Goals, examining how

00:15:07.100 --> 00:15:09.840
educational objectives constantly shift in ways

00:15:09.840 --> 00:15:12.519
that just completely frustrates static tech design.

00:15:12.679 --> 00:15:15.679
The paradox of moving goals. That is so accurate.

00:15:15.740 --> 00:15:17.600
We really need to dive deep into the mechanics

00:15:17.600 --> 00:15:20.279
of that configuration. How do you actually bridge

00:15:20.279 --> 00:15:22.860
a complicated system with a complex one? It's

00:15:22.860 --> 00:15:24.860
the million dollar question. We must pay close

00:15:24.860 --> 00:15:27.279
attention to Ackerman's specific phrasing here.

00:15:27.379 --> 00:15:29.440
He writes, many problems are not really solved

00:15:29.440 --> 00:15:31.940
for all. stakeholders and in many cases one solution

00:15:31.940 --> 00:15:34.460
creates new problems. That concept of creating

00:15:34.460 --> 00:15:36.639
new problems is essentially the offloading of

00:15:36.639 --> 00:15:39.059
friction. Yes, exactly. Let's look at a concrete

00:15:39.059 --> 00:15:42.000
example of how this plays out in real time because

00:15:42.000 --> 00:15:44.960
it happens constantly. Imagine an IT director

00:15:44.960 --> 00:15:47.460
who needs to protect the school's network bandwidth

00:15:47.460 --> 00:15:50.940
and ensure cybersecurity compliance. Which is

00:15:50.940 --> 00:15:54.100
a very real, very important job. Highly important.

00:15:54.220 --> 00:15:58.379
So the deterministic IT brain solution is simple.

00:15:59.129 --> 00:16:02.169
Implement a strict, unyielding firewall that

00:16:02.169 --> 00:16:05.169
blocks all video streaming sites, including YouTube.

00:16:05.490 --> 00:16:09.250
Boom. Done. Cause identified. Condition of success

00:16:09.250 --> 00:16:12.070
met. Green lights across the board. The IT problem

00:16:12.070 --> 00:16:14.769
is solved. But that solution completely ignores

00:16:14.769 --> 00:16:16.950
the reality of the complex ecosystem. Right.

00:16:17.009 --> 00:16:18.870
Because what happens in the classroom? Well,

00:16:18.990 --> 00:16:21.210
a history teacher in third period is fielding

00:16:21.210 --> 00:16:23.649
an unprompted, highly engaging question from

00:16:23.649 --> 00:16:25.750
a student about the fall of the Berlin Wall.

00:16:25.840 --> 00:16:28.480
A totally emergent learning moment. Exactly.

00:16:28.820 --> 00:16:30.860
And the teacher realizes a quick two -minute

00:16:30.860 --> 00:16:33.259
historical clip on YouTube would perfectly crystallize

00:16:33.259 --> 00:16:35.440
this spontaneous moment. But they go to pull

00:16:35.440 --> 00:16:37.460
it up, and they hit the firewall block screen.

00:16:37.679 --> 00:16:40.440
Ugh, the dreaded block screen. So the IT department

00:16:40.440 --> 00:16:43.220
solution has effectively crushed the dynamic

00:16:43.220 --> 00:16:45.740
behavior of the classroom. The friction hasn't

00:16:45.740 --> 00:16:48.580
been eliminated at all. It has simply been offloaded

00:16:48.580 --> 00:16:51.059
from the IT department onto the teacher. The

00:16:51.059 --> 00:16:53.080
teacher is now dealing with the problem of a

00:16:53.080 --> 00:16:55.340
stalled lesson and frustrated students. Right.

00:16:55.600 --> 00:16:58.779
And conversely, if the teacher demands zero firewalls

00:16:58.779 --> 00:17:00.940
and total hyper -flexibility so they can teach

00:17:00.940 --> 00:17:03.879
dynamically, the network becomes vulnerable to

00:17:03.879 --> 00:17:06.259
malware. Which offloads the friction right back

00:17:06.259 --> 00:17:08.980
onto the IT department, creating a configuration

00:17:08.980 --> 00:17:12.039
nightmare for them. It's just a game of hot potato

00:17:12.039 --> 00:17:15.799
with friction. So, bridging the gap means rethinking

00:17:15.799 --> 00:17:18.960
configurations so it honors both paradigms. In

00:17:18.960 --> 00:17:21.839
your firewall example, the bridge isn't choosing

00:17:21.839 --> 00:17:24.579
between total lockdown or total chaos. Right,

00:17:24.579 --> 00:17:26.740
it has to be a compromise. It is configuring

00:17:26.740 --> 00:17:30.079
an automated temporary whitelist protocol. Like,

00:17:30.140 --> 00:17:32.559
the IT department builds a system where a teacher

00:17:32.559 --> 00:17:35.319
can click a button to bypass the firewall for

00:17:35.319 --> 00:17:38.539
exactly 15 minutes, specifically for educational

00:17:38.539 --> 00:17:40.660
domains. Without needing to submit a help desk

00:17:40.660 --> 00:17:43.109
ticket and wait three days. Exactly. That is

00:17:43.109 --> 00:17:44.930
brilliant because it requires concessions from

00:17:44.930 --> 00:17:47.369
both sides. Right, the IT professional has to

00:17:47.369 --> 00:17:50.230
relinquish a small degree of their absolute control.

00:17:51.049 --> 00:17:53.650
They accept a tiny bit of calculated risk to

00:17:53.650 --> 00:17:55.970
serve the ecosystem. And the educator has to

00:17:55.970 --> 00:17:58.950
accept a boundary, that 15 -minute limit, understanding

00:17:58.950 --> 00:18:01.049
that digital tools require certain structural

00:18:01.049 --> 00:18:03.829
rules to function safely for everyone. It really

00:18:03.829 --> 00:18:06.329
demands that both sides stop looking at the school

00:18:06.329 --> 00:18:09.710
exclusively through their native lens. The IT

00:18:09.710 --> 00:18:12.130
professional must internalize that a green light

00:18:12.130 --> 00:18:14.730
on a server rack means absolutely nothing if

00:18:14.730 --> 00:18:16.809
the pedagogical ecosystem of the classroom is

00:18:16.809 --> 00:18:19.470
fundamentally disrupted. The technology serves

00:18:19.470 --> 00:18:22.609
the learning, not the other way around. Exactly.

00:18:23.009 --> 00:18:25.680
So what does this all mean? For you listening,

00:18:26.059 --> 00:18:28.559
the core takeaway completely shifts how you should

00:18:28.559 --> 00:18:31.099
view organizational friction. It changes everything.

00:18:31.519 --> 00:18:33.380
The next time you're sitting in a staff meeting

00:18:33.380 --> 00:18:35.940
or you are trying to navigate a deeply frustrating

00:18:35.940 --> 00:18:38.619
new tech rollout, whether you are in a school

00:18:38.619 --> 00:18:41.079
district, a corporate office, a hospital, or

00:18:41.079 --> 00:18:43.500
literally any environment where complex human

00:18:43.500 --> 00:18:46.759
beings operate, you need to reframe what you

00:18:46.759 --> 00:18:49.420
are observing. You're not simply dealing with

00:18:49.420 --> 00:18:52.220
a clunky piece of software or an obstinate co

00:18:52.220 --> 00:18:55.559
-worker who refuses to adapt. No. You are witnessing

00:18:55.559 --> 00:18:58.299
a collision of physics. You are watching the

00:18:58.299 --> 00:19:00.799
deterministic world of the leaky pipe crash into

00:19:00.799 --> 00:19:03.539
the emergent, unpredictable world of the forest

00:19:03.539 --> 00:19:06.259
ecosystem. And just recognizing that dynamic,

00:19:06.400 --> 00:19:08.440
just realizing that the IT deployment team and

00:19:08.440 --> 00:19:10.759
the frontline workers are operating with totally

00:19:10.759 --> 00:19:13.619
irreconcilable definitions of what a solution

00:19:13.619 --> 00:19:16.740
even is, that is the first necessary step to

00:19:16.740 --> 00:19:18.920
surviving the rollout. You can stop arguing about

00:19:18.920 --> 00:19:21.079
the software itself and start translating between

00:19:21.079 --> 00:19:23.900
the two paradigms. Yes, translation is key. And

00:19:23.900 --> 00:19:27.200
if we connect this to the bigger picture, there

00:19:27.200 --> 00:19:29.440
is a philosophical implication to Ackerman's

00:19:29.440 --> 00:19:30.920
work that we really need to sit with. Oh, I'm

00:19:30.920 --> 00:19:33.720
ready. Lay it on me. He noted that in the messy,

00:19:34.119 --> 00:19:36.359
variable -heavy world of education, problems

00:19:36.359 --> 00:19:39.099
often possess the capacity to resolve spontaneously.

00:19:39.319 --> 00:19:41.279
Right. The neuroplasticity, the kids talking

00:19:41.279 --> 00:19:44.109
in the hall. It is a defining feature of complex

00:19:44.109 --> 00:19:47.190
human systems. They have an innate evolutionary

00:19:47.190 --> 00:19:49.869
capacity to self -correct naturally over time

00:19:49.869 --> 00:19:52.809
as people adapt, communicate, and grow. Which

00:19:52.809 --> 00:19:55.089
really makes you wonder about the unintended

00:19:55.089 --> 00:19:58.190
consequences of our total obsession with efficiency.

00:19:58.509 --> 00:20:00.450
We are so quick to buy the latest app, aren't

00:20:00.450 --> 00:20:03.089
we? No, immediately. We roll out a new digital

00:20:03.089 --> 00:20:05.569
platform the very second we sense any operational

00:20:05.569 --> 00:20:09.299
friction. But we must ask ourselves. If human

00:20:09.299 --> 00:20:12.200
systems can naturally self -correct through emergent

00:20:12.200 --> 00:20:16.059
behaviors, does forcefully imposing a rapid -fire

00:20:16.059 --> 00:20:19.500
IT -style intervention actually disrupt that

00:20:19.500 --> 00:20:22.539
natural evolution? By treating every single human

00:20:22.539 --> 00:20:25.000
challenge like a broken server that demands an

00:20:25.000 --> 00:20:27.940
immediate deterministic patch, are we systematically

00:20:27.940 --> 00:20:30.480
stripping our communities of their ability to

00:20:30.480 --> 00:20:32.900
organically resolve their own friction? Are we

00:20:32.900 --> 00:20:35.440
constantly trying to patch a pipe when we really

00:20:35.440 --> 00:20:37.519
should be giving the ecosystem the time and space

00:20:37.519 --> 00:20:39.269
it needs? needs to find its own balance. It's

00:20:39.269 --> 00:20:41.769
a huge question. It is. And we will leave you

00:20:41.769 --> 00:20:44.890
to ponder that one. Until next time, keep diving

00:20:44.890 --> 00:20:45.170
deep.
