What is Complexity?

A complex ecosystem. An example of complexity.

When you study “complexity,” you quickly find “complex systems.” So we need to explore “complex systems” as well to answer the question, “what is complexity?”. So, we’ll look into both topics here.

You might also see that some folks confuse “complexity” with “complicated.” In A Simple Project, we view them as distinct. We handle them differently.

Complexity vs Complex Systems

Complexity can describe many things: a system, a problem, a machine, a story, and more. We often use “complex system” when many parts work together and lead to surprising outcomes. A complex system can be much harder to understand than just something “complex”. For instance, we might call a large jigsaw puzzle complex because of its many pieces. We might also say a math problem is complex when it has lots of steps and connected variables. But these don’t match the depth of complex systems like the US economy or the human body.

Every day, we interact with many big, well-known complex systems. We know them well. So, we’ll start by defining a complex system and finish by making a simple list of traits that characterize complexity.

The Global Economy Faces Challenges

In a world interconnected by the delicate threads of trade and commerce, the year 2020 began with a muted whisper of an unknown virus in a far-off city in China. As winter turned to spring, that whisper transformed into a terrifying scream, echoing through every corner of the globe. COVID-19, a previously unknown threat, disrupted the world’s economy and supply chains, affecting every industry.

China, the hub of global manufacturing, closed its factories when cities locked down. This led to many problems. Ships stayed in their ports, containers stacked high, and active trade routes became silent. These disruptions broke global supply chains. Industries worldwide, from German cars to American electronics, stopped suddenly. Retailers saw sales drop because they couldn’t restock. Even everyday products, like toilet paper, became hard to find.

Financial markets, too, faced challenges. Iconic indexes like the Dow Jones and the S&P 500 dropped quickly. Many investors started to worry.

The US Takes Action

Recognizing the gravity of the situation, the US Federal Reserve acted. It cut interest rates to almost zero, making it cheaper to borrow money. This aimed to boost spending and investment. The Federal Reserve also bought many bonds to make sure there was enough money in the financial system. This helped calm worried investors.

Congress also stepped up. It quickly passed the CARES Act, a massive $2 trillion support package. This was meant to help both businesses and families. People got checks, unemployment support grew, and businesses received loans to keep running and paying their staff.

Recovery was tough. Many people lost jobs, especially in small businesses. But with time, things began to change.

Change and Growth

Companies shifted their focus. For example, some distilleries started making sanitizers and clothing brands produced masks. Working from home became common, leading to new tech solutions. Brands like Zoom became popular.

But businesses weren’t the only ones to change – people did, too. They began to support each other more, helping local businesses and neighbors. With these changes and the actions of banks and governments, things started to improve.

Resilience and Recovery

By the end of summer, stock markets hinted at recovery. Some areas still struggled, but tech and health sectors grew. As companies raced to create a vaccine, hope grew.

In 2021, with the spread of vaccines and better knowledge about the virus, the world’s economies began to steady. Some sectors, like travel, took longer to bounce back. But others, using new tech solutions, did well.

Looking back, 2020 showed both the risks and strengths of our world. It proved our ability to adapt and overcome, even during tough times.

The US Economy is Complex

In early 2020, Covid-19 spread rapidly, revealing the complex nature of the U.S. economy. This economy has countless parts linked together. Every sector, whether it’s farming or tech, depends on others. When one part faces issues, the others do too. This makes the whole system hard to understand and control.

The U.S. economy doesn’t just act based on its individual parts. It reacts to how these parts interact. For example, the overall consumer confidence, crucial for a healthy economy, is an emergent property that can’t be pinpointed to one specific factor.

The U.S. economy keeps changing based on global events. We saw this with its response to Covid-19. But changes can be non-linear. Sometimes, even small policy tweaks or global news can lead to big economic changes.

Economic feedback loops also exist. If the economy does well, people spend more, boosting it further. But if it struggles, people might hold onto their money, making things tougher. We saw this after Covid-19 hit.

One of the U.S. economy’s strengths is its ability to bounce back. There are tools, like changing taxes (fiscal policy) or adjusting interest rates (monetary policy), that help keep it stable. That’s what happened in 2020!

To sum it up, the U.S. economy is like a complex jigsaw puzzle. Every piece impacts the others. It always adjusts to events, both locally and globally. It’s an ever-evolving system, and while it can be hard to grasp, it’s also fascinating!

Characteristics of a Complex System

Complex systems share many common characteristics:

  1. Many Moving Parts: Many smaller systems work inside the main system. Each small system can be complex on its own.
  2. Parts Connect Deeply: Everything is linked together. When one part changes, it can make other parts change, and it’s often hard to guess how.
  3. Emergence: The overall system exhibits properties and behaviors that individual parts do not have on their own. The behavior of the whole system is more than just the sum of its parts.
  4. Adaptability: The system can change and adapt to new situations. It can rearrange itself to handle challenges.
  5. Non-linearity: The interactions within complex systems often lead to non-linear outcomes, where small inputs can lead to disproportionately large output. Conversely, large inputs result in minimal changes.
  6. Redundancy: Multiple parts of the system can perform the same function, ensuring that the system can continue to operate even if some of its parts fail.
  7. Path Dependency: What happened in the past affects what happens now and later. This means that the same starting conditions can lead to different outcomes based on the system’s history.
  8. Blurry Edges: It can be hard to say where a system starts and ends. Other systems and outside things can affect it.
  9. Dynamic Stability: Complex systems might appear stable, but their components are continually interacting and adapting.

Characteristics of Complexity

Here’s a simple view of how complexity looks when we encounter it:

  1. It has many parts.
  2. Those parts are linked, often in unpredictable ways.
  3. Feels overwhelming.
  4. It’s hard to understand.
  5. You need to work very hard to see it clearly.
  6. Takes effort to explain.
  7. It can make you feel stressed or worried.
  8. There are things you don’t know, and things you don’t even realize you don’t know.
  9. It’s not transparent.

Dealing With Complexity

With our clear list of complexity traits, we can now form a plan to tackle it. We can break it down and examine each part on its own. Then, we can spot how these parts link and affect one another. A determined person can navigate a complex situation or topic using different tools we have. This is our challenge in the next steps of the four-step framework.


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