1. not involving or based on a cause-and-effect relationship
Usage: technical; philosophy; statistics

Examples

• The researcher identified several noncausal correlations in the data.
• Noncausal relationships can be misleading when interpreting statistical results.
• The philosopher argued that some events might be truly noncausal.
• Scientists must distinguish between causal and noncausal associations.
• The noncausal nature of the correlation surprised the research team.
• Understanding noncausal relationships is important in data analysis.