A simulation represents selected features of a situation. It can make a complex idea easier to explore, but it only includes the relationships and conditions chosen for the model.
Ask which features have been simplified or left out. Compare the result with observations where that is possible, and examine what happens when an important input changes. A convincing animation is a presentation of the model, not independent evidence that all its assumptions are correct.
Use the simulation for the question it is suited to answer. It may clarify a trend or suggest an experiment without predicting every detail of a real event. Understanding the chosen world inside the model makes its result more useful outside it.
- Identify the model’s assumptions.
- Change one important input.
- Compare predictions with observations where possible.
Imagine a practical setting.
A simple queue simulation might assume every task takes equal time. Changing that assumption can reveal how much of the result depends on the chosen world.
Before the next experiment.
A model chooses which features to keep. Ask which assumptions make its result useful and which real conditions sit outside its description.
Follow a related question
Name what the motion explains.
Motion with a clear purposeDescribe the shared expectations.
Small interfaces with a long lifeKeep learning
Related background to continue exploring this subject.
NIST: the International System of Units NIST: statistical engineering
