The Long Game: Civilization & Work - When More Data Makes Arguments Worse

Episode Date: April 30, 2026

We're going to explore an issue that seems plucked from the headlines—seemingly intelligent people on both sides of a debate locked in intractable conflict, arguing in ways that feel like a puzzle: two sides looking at the same set of facts and drawing completely different conclusions.In cases like this, no agreement or solution will come from simply collecting more facts. The problem isn't lack of information—it's something deeper.I think everyone has experienced this kind of debate, and the solutions to this problem are surprising. 

This is Gregory Sparzo, and welcome to Episode 5 of The Long Game, Civilization and Work. In today's episode, we are going to explore an issue that seems plucked from the headlines, as the old saying goes. Seemingly intelligent people on both sides of an argument locked in intractable conflict, arguing in ways that just seem puzzling. Two sides looking at the same facts and drawing completely different conclusions. In cases like this, no agreement and no solution will come from simply collecting more data. The problem isn't the lack of information. It's something deeper. I think everyone has experienced this kind of debate, and the solutions to this problem are a bit surprising.

Let's give it a listen. Imagine you are, well, locked in a massive argument with someone. Oh, we've all been there. Right. And the person you're arguing with, you have both brought the receipts. Like, you have impeccable, peer-reviewed,

flawlessly gathered data. The good stuff. Exactly. You lay it all out on the table, completely expecting the undeniable weight of the evidence to, you know, finally settle the debate once and for all. Because that's how it's supposed to work.

Right. But instead, that exact same data leads the two of you to total polar opposite conclusions. I mean, the facts don't solve the fight at all. They actually make it worse. Yeah, which is incredibly frustrating. Totally. We've all been sold this idea that we live in an evidence-based world, you know, where enough data will eventually reveal the objective truth. But what if that entire concept is at least partially just a myth?

It is a comforting myth, certainly. I mean, we desperately want to believe that data acts as this neutral referee, but we rarely pause to question the, well, the invisible rulebook that the referee is actually using to make those calls. Which is such a great way to put it. Yeah, because the data is really just numbers. It's the framework we use to interpret those numbers that actually dictates the outcome. And exploring that hidden rulebook is the mission of our deep dive today. we are taking you into a frankly fascinating excerpt from chapter four of gregory sparzo's upcoming fall 2026 book it's called humane economics restoring the foundations of capitalism

it's a fantastic read it really is we are going to uncover exactly why more data almost never resolves our biggest debates and more importantly we're going to discover how we can design systems that actually function when absolutely nobody can agree on the facts which is a very timely skill to Half. Extremely. So to really grasp why evidence fails us, we have to rewind to a legendary mystery in labor economics. It's a turf war that has been raging since like 1993, and it centers on something you and I interact with all the time, fast food. Right. And what makes this starting point so valuable is that, you know, it isn't some abstract ivory tower theoretical debate. It is about one of the most foundational, heavily studied questions in all of economics.

Which is, does raising the minimum wage reduce employment? Exactly. And back in 1993, two Princeton economists, David Card and Alan Kruger, they published a study that was supposed to be the definitive answer. They looked at the fast food industry specifically because it's a very controlled environment. Yeah, the jobs are highly standardized and it obviously employs a massive number of minimum wage workers. Right. So New Jersey had just raised its minimum wage and neighboring Pennsylvania had not. Now, the orthodox economic model, which is really just basic supply and demand applied to labor markets, it predicted a very clear outcome. Very straightforward one, yeah.

If labor suddenly costs more in New Jersey, employers are just going to buy less of it. They'll, you know, cut hours or they'll fire people. That is the standard predictive mechanism. I mean, if the price of apples goes up, people buy fewer apples. If the price of labor goes up, firms hire fewer workers. Makes total sense on paper. But Card and Kruger discovered the exact opposite. Wait, really? The exact opposite?

Yeah. Fast food employment in New Jersey actually increased slightly compared to Pennsylvania right after the wage hike. And, you know, we aren't talking about some sloppy back-of-the-napkin estimate either. Right. Their methodology was incredibly rigorous. It was geographically controlled, highly specific. Extremely pristine data. Which feels like it should be a total crisis for orthodox economics. I mean, if you have a rigorous, flawless study that directly contradicts the core mechanism of your entire field, the scientific method says you have to revise your model. You think so, yes. You look at this anomaly, you realize your understanding of reality is flawed, and you adjust.

But that isn't what happened at all. Not even close. The scientific response was basically sidelined in favor of an institutional defense mechanism. Oh, wow. Yeah. Instead of revising the supply and demand model, orthodox economists spent the next 30 years relentlessly attacking the methodology of the study. 30 years. They argued the phone surveys were flawed. The geographic borders were misleading. The sample sizes were skewed. I mean, they generated mountains of counter studies. And then the heterodox economists, the ones defending Card and Kruger, they generated revised analyses to counter the counter studies.

Exactly. It became this endless loop. So fast forward to 2021 and the Congressional Budget Office reviewed this colossal pile of rigorous empirical research. And, well, they essentially shrugged. They really did. They just concluded the employment effects of raising the minimum wage were uncertain. I mean, 30 years of pristine data collection and they were literally back at square one. Which brings up a massive question for anyone listening right now who works in a data-driven field. Why didn't the data win?

Yeah, why didn't it? Well, Sparzo points out that this isn't a story about bad science or, you know, malicious actors. Both sides are serious, well-intentioned economists. Right. To understand the gridlock, the author pulls in a 1962 book by Thomas Kuhn called The Structure of Scientific Revolutions. Such an important book. It is. Kuhn looked at the history of physics and chemistry and separated how scientists operate into two categories, normal science and revolutionary science. And normal science is what happens, like, 99% of the time. It is essentially puzzle solving within a recognized paradigm.

And a paradigm isn't just a theory, right? No. No, it is the entire background of shared assumptions, the acceptable methods, and the standards of evidence that a community agrees upon. It literally dictates what counts as a valid question. So when you are doing normal science, you just don't question the paradigm. Exactly. If the puzzle piece doesn't fit, like the Card and Kruger findings, you assume your tools are broken or you measured wrong. You don't assume the puzzle itself is wrong.

Right. The paradigm itself is just too deeply embedded to be abandoned over a few inconvenient facts. So it takes a massive, undeniable pileup of anomalies to trigger what Kuhn calls revolutionary science, where the old paradigm collapses and a new one takes over. And even then, it's not a polite, logical transition. No, it's not. But the physicist Max Planck had this incredibly cynical, but probably accurate, observation. He said, a new paradigm doesn't win by proving the old one wrong.

It wins because the defenders of the old paradigm eventually die off. It's dark, but yeah, a new generation just grows up taking the new framework for granted. Which brings us to Kuhn's most vital concept, and this is the core of the gridlock, incommensurability. Yes. The orthodox economists and the heterodox economists aren't actually disagreeing on the facts. They are operating within entirely different frameworks that define what a fact actually is differently. Right. Because in the orthodox paradigm, the market is highly competitive.

Wages perfectly reflect a worker's productivity. But, and here's where it gets really interesting. Oh, I love this part. The heterodox economists are looking at the exact same fast food restaurants, but their paradigm assumes something called monopsony. Let's break that down for everyone because it changes the math entirely. So a monopoly is when there's only one seller, but a monopsony is when there is only one buyer. Exactly. Or in this case, when employers hold vastly disproportionate power over buying labor because workers just don't have the mobility or resources to simply go get another job. They're stuck. They are. And the mechanism of monopsony completely inverts the orthodox model. If an employer has that kind of trapped labor pool, they are fundamentally underpaying their workers relative to the value those workers actually produce.

Oh, so the mechanism of a minimum wage hike in a monopsony doesn't force the employer to fire people? No, it simply forces them to hand over a slightly larger share of the profit they are already extracting. They can easily afford the new wage. And the higher pay actually attracts workers who were previously sitting on the sidelines. It fundamentally changes what you are observing. It completely flips the script. It's like a debate between a Ptolemaic astronomer who believes the Earth is the center of the universe and a Copernican astronomer who believes the sun is. That's a perfect analogy.

Right. You cannot resolve their argument by just handing them a bigger, more expensive telescope. Adding more data doesn't help because their underlying frameworks frameworks for making sense of the light hitting that telescope are completely incompatible. They are literally arguing past each other. Taking that a step further, you can see why evidence-based policy often hits a brick wall. Totally. The orthodox economists demand evidence of specific supply-side mechanisms, while the heterodox economists dismiss those mechanisms as peripheral to the actual power dynamics. The argument is fundamentally about what deserves to be counted as evidence.

Exactly. And there is a brilliant editor's note in the source text that explicitly connects this to the current political climate in the United States. Oh, yeah. Think about the last time you watched a political debate or, you know, argued with a family member over the holidays. We've all been there, too. You have two sides looking at the exact same country, the exact same economy, the exact same historical events. But they see entirely different realities because their underlying paradigms just filter out anything that doesn't fit their preexisting narrative. It is the absolute paralysis of the paradigm trap. It really is. When frameworks are incommensurable, our institutions deteriorate because they get caught in a

crossfire where no amount of new data will ever bridge the divide. Okay, let's unpack this. If we can't solve these paradigm traps with better spreadsheets, and we obviously can't just wait around for the other side to literally die off so our framework can win. Hopefully not. Right. What is the alternative? Well, Sparza argues we have to abandon traditional reductionist analysis where we just break things into smaller and smaller pieces and move into the world of systems redesign.

Enter Russell L. Ackoff. Yes, Ackoff. He was a systems theorist at the Wharton School who completely rejected reductionist economics. He was a fascinating guy. He argued that an economy is not just a giant pile of individual firms and a society isn't just a collection of households. Because the critical defining behaviors of any system emerge entirely from the interactions between its parts. Precisely. And Ackoff drew a really sharp line between solving a problem and dissolving a problem. This is a huge distinction. Solving a problem means you are just trying to optimize your response within the current broken system. Right. Like you are fighting tooth and nail over whether the minimum wage should be $10 or $15. But dissolving a problem means stepping back and redesigning the architecture of the system itself so the problem just ceases to exist.

It's a totally different level of thinking. Applied to our fast food debate, you just stop arguing about employment effects entirely. Instead, you restructure corporate governance or you redesign labor representation so that a federally mandated minimum wage isn't the primary battleground for a worker's basic survival in the first place. Systems thinking demands that we operate at a much higher level of abstraction. Ackoff called his method interactive planning. Right. So you don't start with what's broken. You start by designing the idealized system you would actually want to inhabit, and then you work backward to figure out how to build it.

Exactly. I do have to play devil's advocate here, though. Dissolving a problem sounds beautiful on a whiteboard. It does. But if you look at the real world, the people with the authority to redesign massive institutions like the financial sector or corporate governance, they're the exact same people profiting wildly from how they currently operate. That is the big catch.

I mean, if a system is making someone incredibly rich and powerful, they aren't going to sit in a drum circle and collaboratively redesign it to pay them less. The house always wins. And Sparso actually thoroughly validates that skepticism in the text. Ackoff's idealistic approach has massive vulnerabilities. He calls it a triple collision of blind spots, right? Yes. The text outlines a triple collision that systems thinking inevitably crashes into. The first collision involves historian Carol Quigley's theory of institutional decay.

Which is fascinating. It really is. Quigley observed a distinct life cycle for organizations. They start as instruments designed to achieve a specific societal goal. But over time, power consolidates. And then the organization transitions into an institution whose primary goal is merely to sustain its own existence and protect the privileges of its leaders. Exactly. The mechanism of decay is self-preservation. Those leaders will never participate in a redesign in good faith. Because giving up their structural advantage would feel like a literal existential threat to them.

Precisely. Now, the second collision loops us right back to Thomas Kuhn. Oh, the paradigm trap again. Yes, because systems thinking itself is just another paradigm. And reigning paradigms are incredibly good at neutralizing threats through co-optation. Can you give an example of that? Sure. Look at Corporate Environmental, Social, and Governance Initiatives, or ESG. Ah. They originated as a systems-level attempt to genuinely rethink a corporation's impact on the world.

But the reigning shareholder value paradigm acted like a biological immune system. That's exactly what it did. It absorbed the new terminology, stripped out anything that actually threatened the profit mechanism, and then just used the language of ESG as another marketing tool to defend the host. It neutralized the revolution by pretending to adopt it. Yeah. And the third blind spot is perhaps the most difficult one to overcome. It relies on Sir John Glubb's civilizational model. Right, because Akoff's vision of interactive planning requires an enormous amount of what they call civic virtue. It does. It assumes that stakeholders are willing to subordinate their immediate individual self-interest for the sake of a collective long-term design. But Glubb's historical model illustrates exactly why late-stage societies critically lack this virtue. I mean, decades of wealth accumulation and security just breeds cynicism.

The culture shifts from obligation to entitlement. People become highly defensive, hyper-focused on short-term gains, and they fundamentally stop believing that building, enduring things together is even possible. Think about that in the context of your own workplace or community. Have you ever been part of a massive culture shift or reorganization, only to realize a year later that the exact same power dynamics are in play, just with new job titles? It happens all the time. We can't rely on the naive hope that stakeholders will voluntarily lay down their arms for the greater good. So if data doesn't resolve the fight and idealistic systems redesign gets co-opted by human nature, we are left in a really tough spot. We need an architecture that functions assuming bad faith and complete disagreement.

Yes. And to see what that actually looks like under extreme stress, the text points us to Sweden in the 1990s. The Swedish pension reform is arguably a masterclass in navigating incommensurable paradigms. To understand the stakes, we really have to look at the macroeconomic reality of Sweden in the early 1990s. The country was experiencing its worst economic crisis since the 1930s. It was grim. Banking collapse, a severe currency crisis, and unemployment tripling in just two years. And simultaneously, their pension system was demographically imploding. Right, because it was a pay-as-you-go system. And the mechanism there is simple, but super fragile.

The taxes of today's workers pay for the benefits of today's retirees. Which is fine, as long as you have a constantly growing population. But birth rates were dropping, the population was living longer, and the math was actively breaking down. And the political environment was an absolute powder keg of competing frameworks. So on the left, their paradigm viewed the proposed pension reforms as a betrayal of the social contract. Their framework demanded mandatory collective security where no citizen was left behind. And on the right, their paradigm viewed the ongoing economic meltdown as undeniable proof that the old social democratic model was structurally doomed. Their framework demanded individual market returns and strict actuarial accountability.

In almost any other political environment, this ends in one of two ways. Either the dominant coalition rams their preferred paradigm through, sparking bitter resentment and immediate repeal efforts the moment power shifts. Or they create a watered-down compromise that totally fails to fix the mathematical crisis. But the Swedish parliament did something different. They formed a five-party working group and adopted a radically different approach. They didn't ask the parties to compromise on what they wanted. Which is key. If you ask fundamentally opposed groups what their ideal outcome is,

you just map out the exact dimensions of their disagreement. Exactly. Instead, they asked a completely different question. They asked, what does a system look like that your framework can live with, even when your political party is not in power? Wow. It is a brilliant inversion of the problem. They didn't ask for preferences. They asked for constraints. They forced each paradigm to articulate its absolute non-negotiable boundaries. Like, what are the specific conditions without which your constituents would view this entire system as fundamentally illegitimate?

I need to pause you there, because the solution they arrived at is highly technical. Sparzo calls it a notional defined contribution system. It's a mouth. It sounds like something an accountant mumbles to get out of a conversation. What does that actually mean mechanically? Well, it is an elegant mechanical fusion of both paradigms. Defined contribution means you get out exactly what you put in. Okay, which satisfied the rights demand for actuarial fairness and individual accountability.

They tracked individual accounts just like a 401k. Exactly. But the notional part satisfied the less. The money wasn't actually sitting in a physical vault or being risked in the stock market. It was merely a concept on a ledger. Right. The actual cash was still operating as a pay-as-you-go system, protecting the collective safety net. But what about the demographic crisis? I mean, how did they fix the math without constant political warfare?

They built in an automatic adjustment mechanism entirely removed from the annual political cycle. Oh, that's smart. Yeah, the payouts were mathematically tied to current life expectancy and economic growth data. So if birth rates dropped further or the economy shrank, the system's liabilities adjusted automatically. Meaning no politician ever had to stand up and vote to cut benefits again. Exactly. It took the politics right out of it. So what does this all mean? Sparzo calls this a cognitive bridge. Yes.

It reminds me of trying to plan a dinner party for a large group of, you know, very opinionated friends. Oh, good luck with that. Right. If you send a group text asking, hey, what does everyone want for dinner? It's a total bloodbath. Someone demands sushi. Someone else wants deep dish pizza. Another person insists on a steakhouse. You'll argue until you starve. You really will. But if you change the framing and ask, what is everyone deathly allergic to? Or what are your absolute dietary deal breakers? You suddenly have a solvable puzzle. That's a great way to look at it. you build the meal entirely around those non-negotiable constraints rather than trying to maximize everyone's wildest desires.

The dinner party analogy captures the exact mechanism of a cognitive bridge perfectly because it doesn't force a false consensus. Right. The Swedish working group didn't ask the left to adopt libertarian values or the right to become socialist. Well, they institutionalized what Sparso refers to as productive discomfort. Productive discomfort. By forcing competing paradigms to translate their non-negotiables into structural constraints before any decision was made, they treated the conflict as a load-bearing feature of the system, rather than a bug to be eradicated. This entire deep dive fundamentally challenges how we navigate disagreement.

I mean, we started by realizing that more data rarely changes minds, because our paradigms dictate what even counts as evidence. The Card and Kruger minimum wage study showed us that throwing pristine statistics at an entrenched framework just generates more sophisticated denial. And while Ackhoff systems thinking pushes us to elevate our perspective, to dissolve problems by redesigning the architecture around them, we cannot ignore the brutal realities of power consolidation and institutional decay. We really can't rely on the assumption that our opponents will suddenly see the light and, you know, voluntarily lay down their systemic advantages. Which is exactly what makes the Swedish pension miracle so incredibly vital. The goal of a functional society isn't to defeat the villains on the other side of the aisle. Because the truth is, people operating in different paradigms rarely see themselves as villains. Right. They're just acting out the logical conclusions of their own frameworks.

The real goal is to build institutions, to construct cognitive bridges that structurally require multiple conflicting frameworks to be consulted before any action is taken. Moving away from the fantasy of perfectly aligned preferences and building robust architectures of constraint. Yes, exactly. So I want to leave you with a thought to mull over long after you finish listening today. Think about a massive recurring argument you are caught in right now. We all have at least one. Definitely. Maybe it's a strategic bottleneck in your company, or perhaps it's an exhausting circular debate with someone in your own family. Are you hopelessly throwing more data at them, praying they'll finally look at your spreadsheet or your perfectly cited article and just admit defeat? It probably won't work.

No, it won't. What would actually happen if you stopped trying to solve the argument with facts and instead tried to build a cognitive bridge? What if you stopped pushing for your ideal outcome and simply asked them to outline that absolute non-negotiable boundaries? It forces a massive shift, really, from a battle over reality to a negotiation over survival. We want to thank you for taking this deep dive with us today. The smartest thing you can do in an increasingly complex world isn't just to gather a bigger pile of data. Absolutely not. It's to understand the invisible lenses through which others view the world and to realize that sometimes the only way to win an argument is to stop relying on the facts to do the heavy lifting and start designing a system that respects the reality of the divide.