Statistical weighting is one of the methods used by Risk Sciences International to better understand risk.
Broadly
Statistical weighting adjusts the influence of different data points or groups in an analysis to reflect representativeness or importance. In risk studies, weighting may correct for sampling biases, emphasize high-priority populations, or integrate evidence across studies. It supports balanced conclusions but can introduce bias if misapplied or poorly justified.
More specifically
RSI applies statistical weighting in survey analysis, exposure modeling, and evidence integration. The firm uses transparent weighting schemes based on sample design, population benchmarks, or evidence quality. RSI ensures that weighted analyses are reproducible, interpretable, and aligned with decision-making needs, particularly where equity or sensitivity analysis is involved.