ABSTRACT
Quoting from the article on ‘The Truth About Models’ by Gribbin [418]: “. . . Scientific models are representations of reality, not the reality itself, and no matter how well they work or how accurate their predictions under the appropriate circumstances, they should always be regarded as approximations . . . The reason for carrying out experiments which probe previously untested predictions of the models is to find out where the models break down. . . . things that the models cannot predict accurately, or explain in detail will highlight the places where we need a new understanding, . . . The trick is to use the right tool for the job. . . . the scientist has many models in his kit-bag, and needs to choose the right one to apply in different circumstances. . . . ”
