The Problem With Boxes
Why Categories Matter and Where They Fall Short
Every system I have ever worked inside asks the same question first:
What kind of thing is this?
The answer determines almost everything that follows. A diagnosis is a category. A job title is a category. A department, a specialty, a funding line, a policy area—all categories. They tell us where something belongs, who is responsible for it, and what kind of attention it should receive.
Categories make complexity workable. Without them, a clinician could not specialize. A researcher could not ask a precise question. An organization could not divide labor across the people who make it function. Categories are what allow expertise to exist in the first place.
Yet every category does something else at the same time. It draws a line. And whatever sits close to that line, whatever doesn’t fit cleanly on one side or the other, becomes harder to see.
This essay is about that line—and what happens to the people, problems, and information that fall near or outside of it.
What a Box Is Built to Do
A box is a form of compression. It takes something complex and gives it a name simple enough to think about, communicate, and act on.
A diagnosis like “OCD” is a box. It lets a clinician recognize a pattern faster, communicate with a colleague in shorthand, and select a treatment approach with evidence behind it. That box has helped an enormous number of people receive care they might not otherwise have received.
A “policy area” is a box. It allows governments and organizations to divide responsibility across issues such as housing, education, healthcare, transportation, or public safety. Without those distinctions, coordinating work at scale would be nearly impossible. Categories help determine who owns a problem, which resources can be used to address it, and where decisions are made.
A “specialty” is a box. It allows professionals to develop deep expertise rather than knowing a little about everything. Cardiologists, trauma surgeons, forensic psychologists, infectious disease researchers, and ERP specialists all exist because complexity requires depth. Specialization advances knowledge, improves quality, and makes sophisticated work possible.
A department is a box. Finance, Human Resources, Information Technology, Quality Improvement, Operations, and Communications each develop their own goals, language, and workflows. Dividing work this way allows organizations to function efficiently. It also means that problems crossing departmental boundaries can become harder to recognize or resolve.
Even a job title is a box. Titles clarify expectations, authority, and expertise. They help people know who to contact and who is responsible for particular decisions. At the same time, they can shape assumptions about who is expected to notice a problem—or whether someone believes it is theirs to address.
Each of these is an example of a system working as intended, not a flaw in it. Complexity requires division, and categories make that division possible.
In fact, you are moving through boxes right now. Even this essay is organized into them. Headings separate ideas into sections. Paragraphs group related thoughts. Individual words compress entire concepts into symbols we can recognize and share. Without those structures, reading this essay would be nearly impossible.
We navigate much of life through nested boxes. A publication contains essays. Essays contain sections. Organizations contain departments. Departments contain teams. Disciplines contain specialties. Diagnoses contain patterns. Each layer reduces complexity just enough that people can understand it, communicate about it, and coordinate action.
What matters is remembering what a category actually is: a simplification of something more complex, and — by the same act — a boundary. That boundary makes some information easier to recognize, communicate, and act on. It can also make other information harder to see, especially when it falls between categories, moves across them, or never quite fits inside them.
What a Box Cannot Hold
The trouble with boxes starts at their edges.
A box is designed to create clarity. It defines what belongs inside and, by doing so, creates an outside. Most of the time, this is useful. The center of a category is where patterns are easiest to recognize, communication is easiest, and action is most straightforward.
The difficulty appears when reality does not arrive in clean categories.
A presentation that looks like three different diagnoses at once and doesn’t sit fully inside any of them. A problem that belongs to two departments, and therefore, in practice, belongs to neither. A person whose experience doesn’t match the criteria closely enough to qualify for the box that would actually help them.
This isn’t the result of anyone’s error. It happens because categories are built around recognizable patterns — around what appears consistently at the center of a category, not necessarily what appears at the margins. The tighter and more useful a box is at its center, the more selective it becomes at its edges. That’s the tradeoff that comes with creating structure, and every tradeoff carries a consequence.
At the edges of categories, information often requires translation. A person may have to explain their experience differently depending on which professional they are speaking with. A problem may need to be reframed depending on which department, funding stream, or decision-making process receives it. A finding may need to be converted into the language of another field before it is considered relevant.
Each translation introduces the possibility of loss.
A detail may be minimized because it does not fit the expected framework. A concern may be redirected because it does not clearly belong to one person or team. A pattern may remain visible to those experiencing it but invisible to the structures designed to respond.
This is where I keep returning to the same theme, from several directions:
As a clinician, wondering how something so clearly present managed to sit outside the categories I had been trained to see.
As a person navigating a system from the other side, wondering why an accurate description of my own experience did not seem to fit anywhere the system knew how to respond.
As someone who has sat in policy and advocacy conversations, watching real and urgent problems get quietly reshaped to fit the boundaries of the meeting, the organization, or the framework available.
Different rooms. Different stakes. Same edge.
Outside of the Box, A Person Does Not Disappear
Something outside a box doesn’t stop existing. It simply becomes harder to translate. Systems often mistake difficulty translating information for absence of information.
A patient still has the experience, whether or not a diagnostic category captures it cleanly.
A problem still produces consequences, whether or not any department has been assigned to own it.
A finding is still true, whether or not it fits neatly into the framework a given field currently uses to research or evaluate it.
Categories organize reality. They don’t create it. What changes is not the reality — what changes is how easily that reality can move through a system built to recognize only what fits its existing categories.
This is where accurate information starts to fall out of the pathway that would otherwise carry it toward recognition and action. Rarely as an intentional act by one person, group, or organization. More often, the box simply wasn’t built to hold it, and nobody built a second box in time.
This Is Not an Argument Against Boxes
It would be easy to read all of this as a case against categories, specialization, or expertise. That’s not the point.
Categories are what make it possible to develop real expertise instead of shallow familiarity with everything. Specialization is what lets a clinician actually know a condition well enough to treat it precisely, instead of just recognizing that something is wrong. Systems need this structure to function at any scale beyond a single room.
We have to have boxes. The real question is what happens to the people, the findings, and the problems that don’t fit neatly inside the ones we’ve already built — and whether systems built to work in categories can develop the capacity to notice their own edges.
What Happened to What Was Known?
Somewhere in nearly every story like this, the information already exists.
Someone describes a pattern. Another person documents a finding. Still another lives an experience closely enough to recognize that something is being missed.
The information exists and is communicated, but it doesn’t always arrive in a form the system knows how to recognize, prioritize, or act upon. Somewhere along the way, it crosses a boundary and loses context. It enters a category where it does not fully belong. It reaches a person, department, or structure that does not have the authority, language, resources, or framework to carry it forward.
Once information falls outside the pathways a system is built to recognize, it can begin to look like uncertainty, complexity, or absence — even when the underlying reality has been present all along.
That is the Cassandra dilemma: the space between what is known and what becomes recognized, between what is communicated and what becomes actionable.
… Up Next in The Cassandra Dilemma
If categories shape what systems can see, the next question is:
What happens when someone sees something important — but the system does not recognize it?
In the next entry, we return to the story of Cassandra: the person who could see what was coming, but whose knowledge could not become action.
Who Is Cassandra? explores the gap between information existing and information being believed, valued, and acted upon.
→ Continue with: Who Is Cassandra?
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