WEBVTT

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Okay, let's untack this. Have you ever felt like

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you're grappling with a problem that, well, just

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won't stay put? trying to nail jelly to a wall,

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maybe. Or trying to solve an issue that seems

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to shape the closer you get. Oh, absolutely.

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That's a very familiar feeling for many people

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dealing with complex challenges. Right. So today,

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we're diving deep into precisely those kinds

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of challenges. Our source material calls them

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wicked problems. And we're looking at how we

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often try to tame them, sometimes without even

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realizing it. Our insights today, they're drawn

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from excerpts from Transparent Temming of Wicked

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Problems by Gary Ackerman, which was posted on

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hackscience .education. A really interesting

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piece. Yeah. And our mission today, it's to give

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you a shortcut, really, to understanding what

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makes these pervasive challenges so tough, why

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we're tempted to simplify them, and what actually

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happens when we do. What's truly fascinating

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here, I think, is how instinctively we reach

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for familiar tools. We try to fix problems that

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are anything but familiar using old methods.

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We often apply solutions designed for, let's

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say, one type of problem to a completely different

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kind. And understanding this core distinction,

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it can profoundly impact our decision making.

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Okay, so let's start right at the foundational

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level then. Our source introduces these two very

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different kinds of problems, tame and wicked.

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What makes them so fundamentally distinct? Well,

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tame problems are the ones we generally feel

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comfortable with. Think of them like a well -engineered

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machine, perhaps. They're definable. You can

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clearly identify the cause and effect. Pretty

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straightforward. OK. They're also understandable.

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The methods for resolving them are known, or

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they can be figured out. And crucially, they're

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consensual. Reasonable people will generally

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agree on the need to solve it, and importantly,

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what a solution actually looks like. Right. Like

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fixing a leaky faucet, maybe. Yeah. Or building

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a bridge. Exactly. Or even say, fixing a specific

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software bug. Those are classic examples. The

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problem's clear. The path to resolution is visible,

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and critically, the outcome is measurable. OK,

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that makes sense. And then we have the wicked

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problems, the ones that keep us up at night,

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the ones genuinely testing our abilities. Precisely.

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Wicked problems are, well, simply put, they're

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none of the above. They are ill -defined, they're

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resistant to clear -cut solutions, and they're

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often intertwined with other complex issues.

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What's especially tricky is that evaluating any

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solution depends heavily on your specific perspective,

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your view on the problem itself, and the solution

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you implemented. So how I see it might be totally

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different from how you see it, even if we look

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at the same solution. Exactly. And to add another

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layer of complexity, any solution can feel perpetually

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revisable. You can always tweak it, refine it.

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It makes them seem endless. Wow. Our source points

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to some powerful examples, things like 21st century

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education reform or tackling climate change or

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widespread poverty. Huge stuff. There's no single

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right answer. And every step you take fundamentally

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shifts the landscape. So if we connect this to

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the bigger picture, it sounds like many strategic

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planning efforts, maybe especially in fields

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like K -12 education, are often trying to fit

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a square peg in a round hole. They're trying

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to apply methods designed for those tame problems

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to issues that are actually far more wicked.

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Precisely. And this raises a really important

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question for all of us. Are we truly using the

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right tools for the job? Or are we maybe setting

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ourselves up for frustration? Exactly. Or just

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limited success, perhaps, because we're misidentifying

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the very nature of the challenge we're facing.

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OK, so if these problems are like trying to catch

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smoke, I mean, how do we even begin to get a

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handle on them? Our source reveals a surprising,

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almost counterintuitive first step. Gary Ackerman

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calls it transparent taming. That's right. Transparent

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taming. It involves consciously treating wicked

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problems as if they are tame. And yes, but, and

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this is the absolutely crucial part doing so

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in a completely transparent manner, leaders who

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use this strategy, they must ensure everyone

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involved understands they are making a strategic

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simplification. OK. The goal isn't to pretend

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the problem is tame. It's about creating temporary

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solutions. Ways to make progress until the problem

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can eventually be approached in a more comprehensive,

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wicked way, as the source puts it. Ah, so it's

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not about denying the complexity. It's more like

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saying, OK, this beast is just too big right

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now, so we're going to carve off a manageable

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piece. Fully knowing it's just a piece, not the

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whole thing. Exactly. That's a great way to phrase

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it. It's a pragmatic recognition that sometimes

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you just have to break down the overwhelming

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into something actionable. But the transparency,

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that's the key differentiator. It prevents misrepresentation

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and allows for an honest assessment of these,

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let's call them, provisional steps. It's a way

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to gain some traction then. Yes, to make progress,

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even if it's just a provisional step forward.

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So why does understanding these taming strategies

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actually matter? For you, the listener, whether

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you're a leader, an educator, or just navigating

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complex issues in life, why should you care if

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a wicked problem is being tamed? Well, this ability

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to spot taming in action is crucial, for several

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reasons. Really practical reasons. First, it

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helps you dodge hidden landmines, so to speak.

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OK. If you recognize a tame approach being applied

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to what is clearly a wicked problem, you're immediately

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empowered to ask, OK, wait, what unintended side

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effects might we be creating here? That's a huge

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advantage. It is. It helps minimize adverse effects

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down the road. Second, it gives you informed

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choice. You can better discern if others are

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genuinely trying to pursue a complete, maybe

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a non -zero -sum solution or if they're actively

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tamed. the problem, which means they're intentionally

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designing less than optimal, perhaps partial,

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approaches. So you know what kind of game is

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being played. Kind of, yeah. Third, it fosters

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a healthy skepticism of results. You'll be better

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prepared to question things when results from

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these tamed solutions are presented as definitive

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proof. Like, we solved it. Right. When maybe

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they just solved the simplified version. They

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might show progress, sure, but it's progress

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within a bounded, often artificially simplified

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context. And finally, it highlights a crucial

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responsibility we all have to ensure that these

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taming methods don't inadvertently create new

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problems. Or make the original one worse in some

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unexpected way. Precisely. All because we oversimplified

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things at the start. So recognizing these strategies

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isn't just some, you know, academic exercise.

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Not at all. It's about being more discerning,

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more responsible, and more critically engaged

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with the solutions we encounter, or maybe even

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help implement. It's about not being fooled by

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a superficial fix. That sums it up well. Okay,

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so our sources mention a consultant, Jeff Conklin.

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He observed that when people are faced with these

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really wicked problems, planners often try to

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solve them as if they were tame. Mm -hmm. A common

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pattern. And he identified six core ways, six

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recognizable approaches that we commonly use

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to try and tame these complex beasts. I suspect

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we've all probably seen these tactics in action,

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maybe even used them ourselves without quite

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labeling them. Oh, absolutely. Conklin's observations

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really highlight these common human tendencies

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when we're faced with overwhelming complexity.

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When a problem just feels too big, too messy

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to tackle head on, our natural inclination is

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to look for ways to make it smaller. To put boundaries

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around it. Exactly, to put boundaries around

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it. Even if that means simplifying things quite

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a bit. So what's the first tactic we often reach

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for? The first one Conklin identified is locking

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down the problem definition. Okay. This basically

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involves reducing a vast complex wicked problem

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down to a smaller, more easily definable, and

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bounded one. Remember, wicked problems have many

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ill -defined causes, right? But when taming through

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problem lockdown, planners will often just pick

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one cause, maybe assume it's the primary one,

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sometimes correctly, sometimes not, and focus

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all their efforts there. So boiling it down to

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just one piece, maybe ignoring the wider web

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of issues. If a school is facing declining student

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performance across lots of areas, locking down

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the problem might mean focusing solely on, say,

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low scores in math and maybe ignoring systemic

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issues like teacher morale or community resources

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that are probably contributing to the whole picture.

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Exactly. It makes the problem seem actionable,

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but you risk missing the true scope, the real

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underlying dynamics. OK. Now, what happens when

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the pressure mounts? You know, we need to show

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progress, even if the problem isn't truly solved

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yet. Ah, well then we often see the second tactic,

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asserting the problem is solved. Ah, that feels

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like a very human response, doesn't it? Just

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declare victory, even if it's partial, just to

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move on. It really is. Recognizing that wicked

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problem solutions are always open to interpretation,

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always revisable, this tactic basically concludes

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that the current, perhaps partial solution is

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sufficient. Good enough. And there's a practical

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reason for that. Yes, the rationale is often

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quite practical. It allows planners to avoid

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situations where one wicked problem just consumes

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a disproportionate amount of limited resources.

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Time, money, attention. Or sometimes, where failing

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to implement even a partially sufficient solution

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might actually make the original problem worse.

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Okay. Can you give an example? Sure. Think about

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implementing a new school curriculum. Maybe it

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shows some improvement in test scores? Not perfect,

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but some. Declaring the educational problem solved

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at that point allows the school to avoid endless

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revision cycles and move focus elsewhere. Even

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if the solution wasn't the ultimate fix, it's

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a kind of strategic exit. Right, drawing a line

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under it. Okay. And sometimes we're a bit more

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proactive in our taming. This next one feels

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very familiar, often seems quite practical. Specify

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objectives to measure success. Indeed, this one's

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very common. It involved defining clear, measurable

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criteria that will signal an acceptable solution

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before any solution design even begins. Ah, setting

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the goalposts first. Exactly. And then, crucially...

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ending the effort when those conditions are met.

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It's a proactive form of taming. For instance,

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a school wanting to improve scores on a specific

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standardized test might define an expected improvement

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level, say a 5 % increase, before they start

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any new programs. And once they hit that 5%.

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Once that level is achieved, improvement efforts

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can then shift focus to a different problem rather

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than continuing to iterate indefinitely on the

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original test score issue. OK. Now, I think we've

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all heard someone say this when a new problem

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arises. Oh, this is just like that other situation

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we had. That brings us to the next taming approach.

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Cast the problem as just like another. That's

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a classic move, the very common heuristic. Despite

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wicked problems and their solutions often being

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quite unique, planners might decide that a new

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problem is sufficiently similar to an old one

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or one faced elsewhere. So they use a previous

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solution or one from a different setting as a

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model. That sounds potentially useful but risky.

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Exactly. It offers the advantage of a quicker

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start, right? You can implement something known

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and then maybe modify it. But the risk is that

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such taming might fail because of unforeseen

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factors or unknown assumptions that make the

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two situations actually fundamentally different.

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Like taking a teacher attention solution that

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worked in a wealthy suburban district and applying

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it directly to an underfunded urban school district

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without really considering the unique very different

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challenges the urban district faces. That's a

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perfect example of the potential pitfalls. OK,

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this next one sounds a bit, well, defeatist,

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maybe. But it's listed as a real strategy, giving

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up on trying to get a good solution. It sounds

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defeatist, but it's often a pragmatic response

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to organizational reality. This typically occurs

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when a planner realizes that key factors affecting

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the problem or the potential solutions emerge

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from levels within the organization where they

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have absolute no control. Ah, like decisions

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coming from way above. Precisely. So instead

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of trying to solve the core problem itself, which

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they can't influence, planners develop strategies

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for accommodating the influences of those problems

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on their own work. or they develop methods to

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simply work around the difficulties aiming to

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minimize disruption to their own team's performance.

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Right. I've definitely seen that firsthand. It's

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less about Solving the big storm and more about

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building a sturdy umbrella for your team. That's

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a good analogy. Like a department head dealing

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with constant, unavoidable, seemingly arbitrary

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policy changes from upper management. They might

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just stop trying to fix the policies themselves

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and instead develop internal team processes to

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adapt quickly and shield their team from the

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constant fluctuations. It's a pragmatic, if maybe

00:12:55.580 --> 00:12:57.960
a bit resigned, coping mechanism. It's about

00:12:57.960 --> 00:13:00.200
controlling what you can control. Makes sense.

00:13:00.480 --> 00:13:03.259
And finally, The last one. The sixth approach

00:13:03.259 --> 00:13:05.919
Conklin identified is framing the problem as

00:13:05.919 --> 00:13:08.500
limited choices. This one feels like it happens

00:13:08.500 --> 00:13:10.580
when the decision makers have already kind of

00:13:10.580 --> 00:13:12.580
narrowed down the options before they even bring

00:13:12.580 --> 00:13:15.679
it to a wider group. Exactly. It involves defining

00:13:15.679 --> 00:13:18.399
several acceptable solutions up front, maybe

00:13:18.399 --> 00:13:21.299
just two or three, and presenting those as the

00:13:21.299 --> 00:13:24.360
only choices available. The task then becomes

00:13:24.360 --> 00:13:26.659
deciding which one of these preselected options

00:13:26.659 --> 00:13:30.220
is best for the particular situation. So it's

00:13:30.220 --> 00:13:32.899
similar to specifying objectives, but the options

00:13:32.899 --> 00:13:36.840
are imposed. Yes, similar in that the measures,

00:13:37.059 --> 00:13:39.019
or in this case the options, are often imposed

00:13:39.019 --> 00:13:43.090
from outside sources or by leadership. The potential

00:13:43.090 --> 00:13:45.590
drawback, as you hinted, is that these imposed

00:13:45.590 --> 00:13:47.950
solutions might actually be solving a slightly

00:13:47.950 --> 00:13:50.570
different problem than the original wicked one.

00:13:50.870 --> 00:13:53.350
Or they might miss a truly innovative solution

00:13:53.350 --> 00:13:55.590
that could have emerged if the discussion was

00:13:55.590 --> 00:13:57.490
broader. Correct. Think of it like presenting

00:13:57.490 --> 00:13:59.809
a community with only three pre -selected, pre

00:13:59.809 --> 00:14:02.210
-vetted options for new public transportation

00:14:02.210 --> 00:14:05.049
systems. Without exploring other... potentially

00:14:05.049 --> 00:14:06.990
more suitable or creative solutions that might

00:14:06.990 --> 00:14:09.110
have come up from a broader, more wicked approach

00:14:09.110 --> 00:14:10.769
that involved the community more deeply from

00:14:10.769 --> 00:14:13.590
the start. Exactly. The frame limits the possibilities.

00:14:14.009 --> 00:14:16.830
Looking at all six, what's the common thread

00:14:16.830 --> 00:14:19.320
here? It really seems like in most of these taming

00:14:19.320 --> 00:14:22.000
strategies, we're simplifying, we're bounding,

00:14:22.059 --> 00:14:25.139
we're imposing external limits on problems that

00:14:25.139 --> 00:14:28.340
are inherently unbounded, complex, and deeply

00:14:28.340 --> 00:14:31.139
interconnected. We're basically forcing a fluid,

00:14:31.320 --> 00:14:33.600
open -ended challenge into a more manageable

00:14:33.600 --> 00:14:37.529
box. But often at a cost. Yeah. Seems like it.

00:14:37.669 --> 00:14:39.830
That's the core insight, I think. We're making

00:14:39.830 --> 00:14:42.330
a trade -off. We gain manageability, a sense

00:14:42.330 --> 00:14:45.409
of control, maybe faster action. But we potentially

00:14:45.409 --> 00:14:48.690
lose a more comprehensive understanding, or risk

00:14:48.690 --> 00:14:51.549
missing a truly sustainable resolution, or even

00:14:51.549 --> 00:14:53.750
create those unintended consequences we talked

00:14:53.750 --> 00:14:56.909
about. Wow. OK, what a deep dive into how we

00:14:56.909 --> 00:14:59.230
try, at least, to tackle these really tough problems

00:14:59.230 --> 00:15:01.490
out there, from things like reforming education

00:15:01.490 --> 00:15:03.950
to navigating complex organizational changes.

00:15:04.789 --> 00:15:06.870
Understanding this fundamental difference between

00:15:06.870 --> 00:15:09.629
tame and wicked problems and how we attempt to

00:15:09.629 --> 00:15:12.210
manage the wicked ones, it feels incredibly insightful.

00:15:12.629 --> 00:15:14.210
It really is. It highlights something crucial.

00:15:15.110 --> 00:15:18.789
That the success or even the perception of success,

00:15:19.169 --> 00:15:21.950
of a solution, often depends entirely on how

00:15:21.950 --> 00:15:25.029
we first define the problem. And that definition,

00:15:25.049 --> 00:15:28.330
as we've seen, is rarely universally agreed upon

00:15:28.330 --> 00:15:31.389
when you're facing something truly wicked. Being

00:15:31.389 --> 00:15:33.809
able to spot these caming tactics, it gives you,

00:15:33.830 --> 00:15:36.830
the listener, a really powerful lens, a lens

00:15:36.830 --> 00:15:38.870
to view the world, not just the solutions being

00:15:38.870 --> 00:15:41.509
proposed, but the underlying assumptions behind

00:15:41.509 --> 00:15:44.029
them. So what's the practical upshot here for

00:15:44.029 --> 00:15:45.830
you listening? I guess the next time you encounter

00:15:45.830 --> 00:15:48.210
a really complex challenge or you hear a solution

00:15:48.210 --> 00:15:50.769
being presented with a lot of confidence, maybe

00:15:50.769 --> 00:15:53.460
pause and ask yourself. Is this truly a tame

00:15:53.460 --> 00:15:56.620
problem that's been definitively solved? Or is

00:15:56.620 --> 00:15:59.019
someone, perhaps transparently, perhaps not so

00:15:59.019 --> 00:16:02.159
transparently, taming a wicked one? And if they

00:16:02.159 --> 00:16:04.539
are taming it, maybe for very practical reasons,

00:16:04.960 --> 00:16:06.799
what are the implicit trade -offs being made?

00:16:06.840 --> 00:16:08.539
What's being left out of the box? That's the

00:16:08.539 --> 00:16:11.799
critical question to ask. And just to leave you

00:16:11.799 --> 00:16:14.629
with something to think about. If every solution

00:16:14.629 --> 00:16:17.549
to a wicked problem is genuinely open to interpretation,

00:16:17.889 --> 00:16:20.490
if it depends on perspective and if it's perpetually

00:16:20.490 --> 00:16:24.009
revisable, how might that change the way we approach

00:16:24.009 --> 00:16:26.210
long -term planning, whether that's in schools

00:16:26.210 --> 00:16:28.690
or businesses or even, you know, in our personal

00:16:28.690 --> 00:16:31.809
lives? How might we learn to embrace the ongoing

00:16:31.809 --> 00:16:34.070
nature of solving these problems rather than

00:16:34.070 --> 00:16:37.750
always seeking that final definitive, maybe illusory

00:16:37.750 --> 00:16:40.210
answer? A profound thought to consider. Indeed.

00:16:40.429 --> 00:16:41.789
Thanks for joining us for this deep dive.
