The Map is not the Territory

The map of reality is not reality. Even the best maps are imperfect. That’s because they are reductions of what they represent. If a map were to represent the territory with perfect fidelity, it would no longer be a reduction and thus would no longer be useful to us. A map can also be a snapshot of a point in time, representing something that no longer exists. A useful map must fit both its purpose and the conditions in which it is used.

We use maps every day. They help us navigate from one city to another. They help us reduce complexity to simplicity. Think of the financial statements for a company, which are meant to distill the complexity of thousands of transactions into something simpler. Or a policy document on office procedure, a manual on parenting a two-year-old, or your performance review. All are models or maps that simplify some complex territory in order to guide you through it. The same applies to the perceptions and beliefs we carry in our minds: they, too, are maps—mental abstractions of reality that can easily be mistaken for reality itself. When you believe your perceptions are true without question, you begin to make decisions based on a distorted map rather than the territory as it actually is.

Just because maps and models are flawed is not an excuse to ignore them. Maps are useful to the extent they are explanatory and predictive. Recognizing them as maps, however, means never letting them define your thinking entirely. Instead, treat them as provisional guides that must remain open to challenge and revision.

Key elements of a map

In 1931, the mathematician Alfred Korzybski presented a paper on mathematical semantics in New Orleans, Louisiana. Looking at it today, most of the paper reads like a complex, technical argument on the relationship of mathematics to human language, and of both to physical reality.

However, with this paper Korzybski introduced and popularized the concept that the map is not the territory. In other words, the description of the thing is not the thing itself. The model is not reality. The abstraction is not the abstracted.

The following points adapt Korzybski’s account and add illustrations:

1. A map may have a structure similar or dissimilar to the structure of the territory. The London underground map is super useful to travelers. The train drivers don’t use it at all! Maps describe a territory in a useful way, but with a specific purpose. They cannot be everything to everyone.

2. Two similar structures have similar “logical” characteristics. If a correct map shows Dresden as between Paris and Warsaw, a similar relation is found in the actual territory. If you have a map showing where Dresden is, you should be able to use it to get there.

3. A map is not the actual territory. The London underground map does not convey what it’s like to be standing in Covent Garden station. Nor would you use it to navigate out of the station.

4. An ideal map would contain the map of the map, the map of the map of the map, etc., endlessly. We may call this characteristic self-reflexiveness. Imagine using an overly complicated “Guide to Paris” on a trip to France, and then having to purchase another book that was the “Guide to the Guide of Paris”. And so on. Ideally, you’d never have any issues—but eventually, the level of detail would be overwhelming.

Abstraction makes complex information manageable. A news report, for example, selects and condenses material for its readers. That selection may omit details relevant to a particular decision, so it helps to ask what the report covers and what it leaves out.

A further limitation is that any map requires interpretation. Because we bring our own assumptions and biases to that interpretation, there is always room for error. Two people can look at the same financial statement, policy document, or mental model and walk away with different understandings of the territory. The map itself remains an incomplete representation, and our reading of it adds another layer of potential distortion.

But my GPS didn’t show that cliff

We need maps and models as guides. But frequently, we don’t remember that our maps and models are abstractions and thus we fail to understand their limits. We forget there is a territory that exists separately from the map. This territory contains details the map doesn’t describe. We run into problems when our knowledge becomes of the map, rather than the actual underlying territory it describes.

When we mistake the map for reality, we start to think we have all the answers. We create static rules or policies that deal with the map but forget that we exist in a constantly changing world. When we close off or ignore feedback loops, we don’t see the terrain has changed and we dramatically reduce our ability to adapt to a changing environment. Reality is messy and complicated, so our tendency to simplify it is understandable. However, if the aim becomes simplification rather than understanding we start to make bad decisions.

A map may need revision because conditions changed or because we learned that our earlier understanding was incomplete. A model can also remain useful within a limited domain even after a more general model becomes available.

Take Newtonian physics. For hundreds of years it served as an extremely useful model for understanding the workings of our world. From gravity to celestial motion, Newtonian physics was a wide-ranging map.

In 1905, Einstein’s special relativity changed the account of space, time and motion, exposing limits in Newtonian mechanics. This was a change in understanding, not a change in how the universe behaved.

Newtonian mechanics remains useful for many everyday motions. Special relativity is needed when speeds make its effects significant; other questions require accounts of gravity or quantum behavior. A model’s usefulness depends on the problem and the accuracy required.

The lesson is to test where a model works and where its predictions cease to be adequate, rather than assuming that usefulness in one setting establishes completeness.

Maps can’t show everything

Some of the biggest map/territory problems are the risks of the territory that are not shown on the map. When we’re following the map without looking around, we trip right over them. Any user of a map or model must realize that we do not understand a model, map, or reduction unless we understand and respect its limitations. If we don’t understand what the map does and doesn’t tell us, it can be useless or even dangerous.

The same test applies to a personal interpretation. Ask what observations support it, what it leaves unexplained and what would change your mind. Feedback helps identify a useful model’s limits.