What do all models have?

All models have underlying assumptions that define their structure and behavior, which help simplify complex real-world phenomena. They also have parameters that can be adjusted to fit data or scenariOS, enabling predictions or insights. Additionally, models require data for validation and testing to ensure their accuracy and reliability. Lastly, they often include a clear framework for interpretation, facilitating communication of their results.