Generalizations are based on specific instances from "summary" of An Enquiry Concerning Human Understanding by David Hume
When we make generalizations about the world around us, we are essentially drawing conclusions based on the specific instances or examples that we have observed. These specific instances serve as the foundation upon which our generalizations are built. For example, if we observe several instances of a particular event occurring in a certain way, we may come to believe that this is the typical or usual way in which that event unfolds. However, it is important to recognize that our generalizations are only as strong as the specific instances upon which they are based. If our sample size is too small, or if our observations are biased or flawed in some way, our generalizations may be inaccurate or unreliable. This is why it is crucial to gather a wide range of specific instances before drawing any broad conclusions. In many cases, our generalizations are formed unconsciously, as our minds naturally seek patterns and regularities in the world. This cognitive tendency can be useful for making quick decisions and navigating our environment, but it can also lead to errors in judgment if we rely too heavily on incomplete or biased information. It is also worth noting that even when our generalizations are based on a large number of specific instances, there is always a degree of uncertainty involved. The future is inherently unknown, and there is no guarantee that past patterns will continue to hold true in all circumstances. This is why it is important to approach generalizations with a degree of humility and openness to new evidence or perspectives.- The process of forming generalizations based on specific instances is a fundamental aspect of human cognition. By observing and analyzing the world around us, we are able to draw conclusions about how things typically behave or unfold. However, it is important to be mindful of the limitations and potential biases involved in this process, and to remain open to new information that may challenge or refine our existing generalizations.
