What does this quote mean? My interpretation of it is that because models generalise, they never get the full picture, thus cannot be fully accurate in regards to representation of real life. Take the Demographic Transition Model for instance. As it doesn’t take factors of migration into account and assumes all countries follow that path, it cannot be completely accurate as there are just too many factors that are involved in a countries development. I would say that models that have factors that are less subjective tend to be more accurate. This is because subjective factors such as emotions are harder to measure, thus hinder the interpretation of the results. For instance the Doxey Irridex which is scaled in emotion is not very accurate as emotions can vary from person to person.In the N.S, models tend to be fairly accurate as the information they are looking at is less subjective. For instance, when looking at number of cells, it is hard to interpret anything else than the specific number of cells. However those this mean models in N.S are correct? Well no, as both models in H.S and N.S assume certain things will happen and do not always take into account all the factors involved, they are both slightly fallacious.
So how can models be useful? Well in the H.S sometimes generalisations are useful, especially when you want to understand the behaviour of large groups of people. Take business for example. When a company wants to decide what kind of product to create, it is better to get information about people that is more general rather than those that are targeted a specific individuals. This is because the general information applies to more people, and as the business wants to sell as many products as possible, it is key that they find what most people want. Though this is a bit of a generalisation, this shows how generalisations in models can sometimes be useful.