Models are everywhere – economists use them to forecast unemployment rates, Nate Silver uses them to predict who our next president will be, Abercrombie & Fitch uses them to show window shoppers how a piece of fabric looks on a size zero waist, and engineers use them to plan the construction of a new bridge. Systems thinkers create mathematical models to test the longterm behaviors of a system. “Mathematical modeling” might sound like something that only those people can do, but actually what’s more important than the math is the thinking that goes behind it. Even if you can geek it out with complex math equations, if you can’t think holistically, you’ll just end up with a flawed model that appears deceptively intelligent to the math-phobic audience.
First of all, what is a model? The word model traditionally refers to a smaller version of something. Humans recognized long ago that boiling something down to a simpler form can help us wrap our heads around things in totally new ways. Maps are models of our geographical environment that take enormous stretches of land and cram them into single pieces of paper, sacrificing the vivid detail of the real world with the big picture needed for planning. It is up to the mapmaker, the modeler, to choose the components of reality that are essential for the intended use. This is why hiking maps look so different from driving maps, including details about elevation and steepness that wouldn’t matter in a car.
Similarly, model airplanes, models of communities, mathematical models of social security, even fashion super models, help us to process reality from a new perspective and provide us with tangible objects to reference in conversation. We can compare models, challenge them, and use them to explain decision making.
Meanwhile, ‘mental models’ are the ubiquitous, but often unspoken models that drive our thinking and decision making. You could call a person’s collection of mental models their worldview or perspective. We all use mental models all the time whether or not we are aware of it, and whether or not those models were intentionally developed. Our brains constantly filter and interpret the enormously complicated reality we observe, and we often throw out the parts that don’t fit into our existing mental model, which means we lose out on many learning opportunities. The fact that mental models are hidden in our heads makes them difficult to recognize and challenge. They emerge and solidify gradually as we acquire experience with certain problems or situations.
For example, someone trying to decide whether or not to buy Apple stock will likely consider its historical performance. She may look over the last five years and see that Apple’s value was growing consistently for about four years, but has been declining for the last year. In the stock market, everyone wants to know, “what’s going to happen next?”
Josh may believe that Apple will continue to make great innovative products, so it must go up. Jenny might believe that Apple’s next big proposed product, a high-tech watch, is doomed for failure, so she would sell. April, an analyst at a big investment firm, asks a slightly different question – is Apple over or undervalued, regardless of historical performance? Basically, is it going to do better than everyone else thinks?
Each of these interpretations of reality, the different rationale for the decision, result from different models. There must be only one truth about what will happen, but that truth is as complicated as the 300,000 jobs associated with Apple, the labor market, electronics consumers, natural resources, and the millions of other investors out there, which is why we need a model. Josh, Jenny, and April’s different models may result from access to different pieces of information or different past experiences that have shaped their understanding of the stock market.
Modeling is the deliberate development of the instrument through which you perceive reality. Rather than allowing our incidental mental models to preside unchallenged over our decision making, we should actively develop our models to acquire more robust insight more quickly. We should think like modelers.
Modeling is a process that involves posing a question (i.e. Should I buy apple stock?), noting our objective (i.e. make lots of money), articulating our mental model to make it transparent, asking questions to determine what might be missing, simplifying it down to the most relevant pieces of reality to make it more useful, applying the model to make our decision, and then adjusting our model in the future based on the results.
Great! A new way to decide how to game the stock market!?… Not quite. Modeling is much broader than that. It’s about understanding the root cause of patterns in our relationships, health, and career. Why does my family always get anxious on holidays? Why do employees at my workplace cycle through every two years? The modeling gives us a chance to answer questions from the standpoint of a designer rather than a victim of our everyday lives.
Overpopulation, traffic congestion, climate change, educational inequity, the rising price of milk, economic stagnation, soaring campaign finance are all problematic trends that could benefit from modeling. We have models for every issue that we bump up against as citizens, and policymakers create policies based on the best (which often means the most popular) models. A large portion of our country feels that they deserve social security because they paid into it. Therefore politicians leave the system intact despite the fact that it is unsustainable amidst our aging population. Social security was only expected to be sustainable in the first place based on an unchallenged assumption that economic and population growth would continue on unfettered. This is not to say we should do away with social security, but that if we understand it more thoroughly, we can demand that politicians undertake sensible reforms. Therefore, it is up to us as citizens to develop better models and demand policies that address the root of a problem rather than its symptoms.
Modeling is the process of recognizing, sharing and improving our understanding of the world. To get started with modeling, you can practice cultivating a modeler’s habits of mind. Modeling also benefits from collaboration, so we must learn language to give form to our thoughts and interpret the thoughts of others. Math is just one language, and is typically not the clearest for communicating, but is useful as a tool to test and apply modeling. Stay tuned – over this next month, we’ll guide you through the process of becoming a great modeler and unleashing your inner wisdom and natural ability to inquire and make your life and the world a better place!
Think Like a Modeler Series:
1. Determining the Right Level of Aggregation
2. Expanding Beyond the Limits of Your Experience
3. Anchoring Around Your Purpose
Hi, Andrew! I’m very happy I discovered your site. You write so well! So very clear, easy to read and at the same time a pleasant reading. Is it OK if I translate this article about modeling to Portuguese so I can share with some colleagues here in Brazil? I’ll be happy to credit your site and link back. Thanks for sharing great content e congrats for such a rich, informative and interesting website!
Absolutely! Glad you are enjoying the site, and thanks for the kind words.