More Than One Moment
Not long ago, I found myself walking along a quiet path in a park near Ushuaia, Argentina — close to the southern tip of the world.
A river moving steadily beside it. Trees shifting slightly in the breeze. Mountains in the distance, unchanged and yet slowly shaped over time.
It wasn’t dramatic. There was no single moment that stood out.
But the longer I walked, the more something familiar began to take shape.
The same patterns I think about in other areas — economics, forecasting, decision-making — were there too.
Movement. Adjustment. Balance.
The river didn’t force its way forward. It adapted to what was in front of it. The path didn’t rush — it simply continued. Even the mountains, which appear permanent, are the result of slow and constant change.
And it reminded me of something I’ve seen in statistics.
In a recent NCAA tournament game, UConn defeated Duke on a last-second shot — a 35-foot three-pointer with less than a second remaining. In that moment, it felt almost inevitable, as if everything had been building toward that outcome.
But if you step back, it was just one shot. One moment.
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The kind that, more often than we think, goes the other way.
In basketball, a player might make several shots in a row and appear to be “hot.” It feels like something has changed — that the next shot is more likely to go in.
But often, each shot is largely independent. What looks like a pattern in the moment can simply be a small sample — too little to tell us very much.
One data point can look like noise. Even a short streak can be misleading.
It’s only over time — across many observations — that a clearer pattern begins to emerge.
We often react to what’s right in front of us, as if it defines the whole story.
But most of the time, it’s just one point along a much longer path.
It made me think about how often we look for clarity in big moments, when most of it is already present in quieter ones.
We don’t always need new information. Sometimes we just need to see what’s already there.
And once you start noticing those patterns, it becomes a little easier to trust the process —
not because everything is predictable,
but because it isn’t unfamiliar.
