Which type of data does inductive reasoning mainly rely on?

Inductive reasoning primarily relies on detailed facts because it involves observing specific instances or pieces of evidence and drawing general conclusions from them. This method starts with specific observations and works toward broad generalizations or theories. For inductive reasoning to be effective, the detailed facts must be sound and representative of the broader situation being analyzed. It looks to build connections and patterns based on the accumulated observations, which in turn helps to formulate hypotheses or general rules.

Other forms of data, such as statistics, hypothetical scenarios, and expert opinions, can support reasoning but do not form the foundation of inductive reasoning itself. Statistics can provide quantitative support but are not purely observations of specific instances. Hypothetical scenarios are more aligned with deductive reasoning, offering potential outcomes based on assumed premises rather than factual data. Expert opinions are valuable, but they often reflect personal interpretations of facts rather than a systematic approach to reasoning based on observed evidence. Thus, detailed facts are the cornerstone of inductive reasoning.