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When the Mask Becomes the Self: Identity and Impersonation in Fiction

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If everyone believes you are someone else, at what point does it stop being a disguise? Stories built around impersonation often begin with a practical problem. A king is missing. A fortune must be accessed. A plan requires someone to take another person’s place, convincingly and quickly. The premise is simple: resemble the original closely enough, learn the necessary details, and maintain the performance. At first, identity in these stories appears surprisingly fragile. It depends less on who someone is than on whether others accept the role they are playing. But the longer the performance lasts, the more complicated that assumption becomes. What begins as something external—something worn like a costume—has a tendency to move inward. The role reshapes the person performing it. Becoming the Other Person In its most classical form, the impersonation story is almost clean in its logic. In The Prisoner of Zenda , an Englishman is persuaded to impersonate a kidnapped king. The success ...
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What We Learned from Ukraine—and Why It May Not Matter

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For decades, global supply chains have been optimized for efficiency. Inventory minimized, production concentrated, redundancy stripped out wherever possible. It is a system designed to work smoothly under normal conditions—and it often does. Until it doesn’t. The Trade-Off We Understand There is a persistent idea that systems can be optimized either for efficiency or for robustness, but not both. That is too simplistic. In practice, systems sit somewhere in between. But the trade-off is real. Every buffer removed improves margins. Every dependency consolidated reduces cost. And each of those choices makes the system a little less able to absorb shocks. The question is not whether we understand this. It is whether we can act on it. Recent tensions around the Strait of Hormuz bring that question back into focus. A narrow passage carries a disproportionate share of global energy flows. It is efficient. It is not particularly robust. And like many such chokepoints, its risk is e...
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If AI Can Create New Knowledge, Why Do We Still Need Humans?

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Recent AI systems have started to produce outputs that do not merely rearrange familiar material, but appear to push beyond it. In mathematics, there are already examples—early, limited, but real—where models help uncover structures or solution paths that had resisted human attention for years. In creative fields, the same pattern shows up in a different form: not just imitation, but variation that feels genuinely new. That raises an obvious question. If AI can produce novel content, why worry about running out of training data? At that point, wouldn’t the system become at least partly self-sustaining? It is an appealing idea. It also turns out to be less straightforward than it first appears. The Fear Was Never About Running Out of Text The weakest version of this debate is easy to dismiss. The internet is not about to run out of words, images, or videos. And even if human-generated material became a smaller share of what is published online, AI could simply generate more. B...
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The Rules of Time Travel: And Why They Never Agree

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Time travel may be the most deceptively simple idea in science fiction. Go back. Change something. Come home. It sounds straightforward—almost intuitive. And yet, the moment you start looking closely, the idea begins to fracture. Not because it is impossible, but because every story seems to follow a different set of rules. In some, the past is fixed. In others, it splinters into branching timelines. In a few, the very act of trying to change time is what causes the events you were trying to avoid in the first place. There is no shared framework, no underlying agreement—only competing interpretations of how causality might work if we were allowed to step outside of it. Time That Cannot Be Changed The Anubis Gates by Tim Powers All You Zombies— by Robert A Heinlein Predestination (film adaptation) Some time travel stories eliminate paradoxes entirely—not by resolving them,...
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From Liar’s Poker to the Financial Crisis: How Wall Street’s Culture Created Modern Risk

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Liar's Poker is one of those books that makes the recent past feel strangely distant. Reading it now, what stands out is not just how excessive the 1980s were, but how foreign the world it describes already feels. The Wall Street of shouting traders, crowded bond desks, and market edge built on access and instinct is close enough to recognize, yet far enough away to seem almost unthinkable. Two impressions kept returning as I read. First: the 1980s must have been a genuinely wild period in finance. Second: Wall Street does not just attract ambition; it attracts characters, and occasionally produces someone larger than life. At the center of Liar's Poker sits Lewis Ranieri, who feels almost mythological in retrospect. Starting in the mailroom and rising to lead the mortgage division at Salomon Brothers, he helped build a business that effectively printed money in the mid-1980s. It is easy to read his story as a pure version of the American Dream. But that reading is a li...
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On Bullshit — What It Is (and What It Isn’t)

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Some books linger not because they change your mind, but because they sharpen something you already suspected. On Bullshit by Harry Frankfurt is one of those. I remember first noticing it when it appeared in book form in 2005, already carrying the quiet reputation of something slightly unusual—a philosopher taking on a word most would avoid in formal discourse. That contrast alone makes it memorable. But the staying power comes from something else: the precision of the idea. Frankfurt is not really interested in explaining why the world is full of bullshit. If anything, he largely sidesteps that question. What he does instead is narrower, and more useful. He tries to define what bullshit actually is . And the distinction he draws is sharper than it first appears. Bullshit vs. Lies At first glance, it is tempting to think of bullshit as just a softer form of lying. Frankfurt argues that this is fundamentally wrong. A liar, in his framework, is still tethered to the truth. They kno...
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Stable, but Stuck: When Nash Equilibria Fail Us

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I’ve been reading Inadequate Equilibria recently, and it sent me down a familiar but still slightly unsettling line of thought: how often systems end up in states that are stable, self-reinforcing—and clearly not very good. This is usually where the idea of a Nash equilibrium comes in. In simple terms, it describes a situation where no individual actor can improve their outcome by changing their strategy alone, assuming everyone else keeps doing what they’re doing. The system settles. It stops moving. But that doesn’t mean it’s optimal. It just means it’s hard to escape. The classic example is the prisoner’s dilemma. Two actors, each making individually rational choices, end up with a worse collective outcome than if they had coordinated. What makes it powerful is not that it is a thought experiment, but that it maps disturbingly well onto real-world systems. A system can remain balanced even as both sides make it worse. Arms Races: Stability Through Mutual Escalation The Cold ...
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