Which type of formal hazard analysis uses observable data to predict events?

Inductive analysis is a type of formal hazard analysis that relies on observable data to predict events. This method typically involves gathering specific instances or empirical data and then drawing broader generalizations or conclusions from those observations. By looking at patterns or trends in the data, analysts can make predictions about potential hazards or risks in the future. This approach is particularly valuable in safety management and risk assessment as it builds knowledge from real-world evidence.

In contrast, the other methods focus differently. Deductive analysis starts with general principles or theories and applies them to specific cases. Quantitative analysis involves numerical data and statistical methods to assess risks or hazards, often emphasizing measurable factors rather than observational data. Qualitative analysis, while it may involve observations, usually focuses more on subjective judgments, characteristics, or attributes, rather than the systematic data-driven approach characterized by inductive reasoning. Thus, inductive analysis stands out as the method that specifically uses observable data to predict future events.