Categories
Living Serendipity Travel

The Conditions of the Unexpected

There is a flight I took in 2001 that I have never fully stopped thinking about. Not the flight itself โ€” a forgettable three-hour hop in a middle seat โ€” but the two-hour delay that preceded it. The gate agentโ€™s apologetic crackling over the intercom. The way I surrendered to the terminal, found a bar stool, ordered something I didnโ€™t need. The man next to me was reading a book I recognized. We talked for two hours. He told me about a job. I didnโ€™t take it โ€” but I spent three months considering it, which is its own kind of detour. I came out the other side different in ways I still canโ€™t fully account for.

I have told this story before as a story about luck. Iโ€™m not sure thatโ€™s what it is.


Alexander Krauss spent years going through the records of scienceโ€™s major discoveries โ€” Nobel Prize winners, the landmark non-Nobel findings, more than 750 in all โ€” looking for the mechanism behind what everyone had been calling serendipity. The telescope trained on an unexpected patch of sky. Flemingโ€™s contaminated petri dish. The chance observation that shouldnโ€™t have meant anything but did.

What he found upended the romance of the story. The discoveries that seemed most accidental, most shaped by the caprice of an unlucky sneeze or a mislabeled sample, turned out to follow a pattern. Nearly all of them happened shortly after a researcher gained access to a new tool. The accidental observation of cells under an improved microscope. X-rays discovered through a discharge tube nobody had pointed in that direction before. The first planet beyond our solar system, caught by a spectrograph that hadnโ€™t existed a few years earlier. What looked like lightning striking the same improbable spot again and again was actually the same thing each time: a new instrument creating the conditions under which something unexpected could be seen.

Krauss calls this โ€œengineering serendipity.โ€ The phrase stops me every time I read it, because it sounds like a contradiction and turns out to be the most practical sentence in the philosophy of discovery. You canโ€™t engineer the specific surprise. But you can engineer the conditions that make surprise likely. You can build the lens before you know what it will show you.

This distinction โ€” between engineering an unexpected discovery and engineering the conditions for unexpected discovery โ€” is one Iโ€™ve been carrying around like a stone in my pocket. Because I think it applies far outside the laboratory. I think itโ€™s one of the central design problems of a life.


The book trend critics are calling โ€œDigital Nostalgiaโ€ is, depending on how you read it, either the most sentimental or the most diagnostic thing happening in literary culture right now. The novels topping lists this spring are full of people losing their recordings, waking up in centuries without algorithms, mourning the weight of analog things. Ben Lernerโ€™s new novel begins with a dropped phone in a hotel sink โ€” the recording gone, the moment unrecoverable. Caro Claire Burkeโ€™s Yesteryear sends a social-media influencer back to an 1855 that is nothing like the one she curated for her followers: cold, filthy, unfiltered, and somehow more real.

What readers are reaching for in these books is not the past per se. Itโ€™s the texture of a life that wasnโ€™t predicted in advance. The feeling of not knowing what came next because nothing had pre-sorted the possibilities. Nostalgia, in its root meaning, is pain at being far from home. What Digital Nostalgia seems to be mourning is something more specific: the disappearance of accident from everyday life.

I notice this in small ways. My phone knows where Iโ€™m going before Iโ€™ve decided to leave. The algorithm has predicted, with unsettling accuracy, what I will want to read next. The coffee shop I found by walking down an unfamiliar street now gets recommended to me, which is useful and also somehow diminishes the thing I found. The city I live in has become a more efficient version of itself. Less of it surprises me than used to.

This is not entirely bad. But something is lost in the smoothing. And the books people are buying tell you what.


The urbanist argument for cities has always included, at some level, an argument for density as a serendipity engine. You put people in proximity. You make them share transit and sidewalks and bars and parks. Intersections happen. Ideas cross. The great creative explosions of modern history โ€” Florentine painting, Viennese psychoanalysis, the Bell Labs cafeteria โ€” were products less of individual genius than of designed proximity. People who wouldnโ€™t have met each other kept meeting each other.

Whatโ€™s interesting about Kraussโ€™s argument is that it generalizes this principle to the history of science in a way that makes it quantifiable. Itโ€™s not just that cities were generative because they were dense. Itโ€™s that they were generative because they were full of new tools โ€” printing presses, coffeehouses, salons โ€” that created new surfaces where minds could collide and refract in new ways. The tool doesnโ€™t make the discovery. It makes the discovery possible, and likely, and reproducible by others.

Which brings me back to the airport bar.

The two-hour delay created an unstructured interval I hadnโ€™t planned for. I didnโ€™t know what to do with it, so I sat somewhere I wouldnโ€™t normally have sat. The man next to me had a book that served as an opening. We were both temporarily outside our routines, which is another way of saying: we were both in a new instrument, looking at something we hadnโ€™t known to look for.

What Iโ€™ve been slow to admit is that this kind of moment doesnโ€™t just happen. It happens to people who are outside their routines. It happens in places where unlike people are forced into proximity. It happens when you sit down somewhere without your headphones, without a screen to retreat into, in the condition of being briefly unoptimized. The delay was the tool. The discovery followed.


So here is the tension I keep returning to: you can engineer the conditions for serendipity, but you cannot engineer serendipity itself, and the engineering has to be genuinely open-ended or it stops working. If you design a system that produces specific surprises, you havenโ€™t built a serendipity engine. Youโ€™ve built a surprise dispenser, which is a different and lesser thing. Amazonโ€™s โ€œyou might also likeโ€ feature is not serendipity. It is prediction wearing serendipityโ€™s clothes.

The difference is whether the system preserves its capacity to show you something it didnโ€™t know you needed to see. A new microscope could reveal anything. A recommendation algorithm reveals only a constrained neighborhood of the space of things youโ€™ve already wanted. The former is a lens. The latter is a mirror.

I think this is what the Digital Nostalgia readers are grieving, without quite being able to name it: not the analog past itself, but the unoptimized interval. The moment between knowing what you wanted and finding it, when anything might happen. That space has been shrinking for twenty years, and the algorithmโ€™s promise โ€” to eliminate friction, to anticipate, to smooth โ€” has turned out to be partly a promise to eliminate possibility.

The question Iโ€™m sitting with is whether itโ€™s recoverable. Not globally โ€” Iโ€™m not interested in the manifesto version of this argument, the call to smash the phones or return to the forest. But personally. Whether I can design my own life to include enough genuine aperture โ€” enough unoptimized intervals, enough new tools, enough places where I am briefly outside my routine and available to be surprised โ€” to keep the surprises coming.

I have some guesses about what this looks like. Reading outside my field. Saying yes to the conversation I donโ€™t have time for. Choosing the longer route. Leaving earlier so the delay doesnโ€™t feel like a crisis.

These are small things. They are also, if Krauss is right, approximately how all the important discoveries get made.


The flight eventually boarded. I didnโ€™t take the job. But I thought about it for three months, which means I thought about my actual life for three months โ€” what I wanted from it, what I was settling for, what I hadnโ€™t been willing to name. The man at the bar didnโ€™t change my path. He changed my angle of view, briefly, enough. Iโ€™ve been a little suspicious of smooth trips ever since.

Categories
Living Productivity Serendipity

In Praise of the Interruption

We live in an era of the hyper-optimized schedule. Every waking minute is categorized, color-coded, and squeezed for its maximum potential output. We download applications to track our sleep cycles, our hydration, our daily habits, and our deep work intervals. We have collectively adopted the mindset of the factory floor, treating our own lives like well-oiled machines, and viewing any deviation from the master plan as a glitch that requires immediate patching.

But in our relentless pursuit of efficiency, we risk engineering the magic out of our own existence. We try to pave over the wilderness of our days with the concrete of predictable routines. In doing so, we forget a fundamental truth about human nature, a truth that author Jenny Odell captures perfectly:

“We still recognize that much of what gives oneโ€™s life meaning stems from accidents, interruptions, and serendipitous encounters: the ‘off time’ that a mechanistic view of experience seeks to eliminate.”

When we adopt this mechanistic view of our experience, an interruption is viewed as a systemic failure. A delayed train is a disaster. A wandering, off-topic conversation with a stranger is a sunk cost of our valuable time. Yet, when we look back on the broader timeline of our lives, the moments that stand out in the sharpest relief are almost never the ones we scheduled in thirty-minute increments on our digital calendars.

Think about the architecture of your own life. I often reflect on the most vital relationships I’ve formed, the sudden and necessary shifts in my career, or the quietest, most profound moments of personal clarity I’ve experienced. Practically none of them were planned. They were born from a wrong turn taken on a road trip that led to a breathtaking view. They emerged from a sudden downpour that forced me into a crowded, unfamiliar coffee shop. They sparked when a friend called out of the blue on a Tuesday afternoon when I was “supposed” to be doing highly focused work.

These accidents, these beautiful and unscripted interruptions, are the connective tissue of a life well-lived. They are the gentle reminders that we are not algorithms processing daily tasks, but fragile, curious humans experiencing a deeply unpredictable world. When we try to eliminate the “off time,” we are unknowingly trying to eliminate the very environments where serendipity is allowed to breathe.

We need to leave room for the friction. We need to stop seeing the blank spaces on our mapsโ€”and our schedulesโ€”as terrifying voids that must be filled with productive noise. Instead, we must begin to see them as the fertile soil from which the unexpected grows. Efficiency, routines, and optimization can certainly help build a very productive life. But only the accidents, the interruptions, and the quiet serendipity of “off time” can build a meaningful one.

Categories
AI AI: Large Language Models Claude

Make It Better

I came across a post on X this morning with some advice I immediately tried out. The advice – when working with an AI to help create writing or code – is to reply to the first pass the AI takes by asking it to “make it better”. The author suggested doing this multiple times.

I tried this out with Claude and enjoyed how it worked on just the first “make it better” pass. When I asked it to “make it better” it began by replying:

Certainly, I’ll refine the musing to make it more impactful and engaging. I’ll focus on enhancing the imagery, tightening the structure, and deepening the insights.

And indeed the second “better” pass that it wrote was even better. A fun experiment to try on your next use of an AI chatbot.