What Does Science Really Want: Truth or Useful Models?
Before we talk about what science has found, we should know what it is trying to do. The standard definition of science is the methodical study of the natural world via observation and experimentation. That definition seems solid and well-known. But as we look into a lot of fields nowadays, especially those that look at deep time, complex systems, or indirect evidence, the border between observation and interpretation is not as clear. So, as we move into studying cosmology, origins research, artificial intelligence, and certain areas of theoretical physics, primarily rely on models that structure data rather than on experiments that can be replicated in controlled environments. This leads to a more fundamental inquiry: is the principal aim of research to uncover the true nature of reality, or to build models that sufficiently predict and control our observations?