In safety management, data is often treated as objective truth. Leaders use incident rates, near-miss reports, injury trends and predictive models to guide them as they prioritize risk and allocate organizational resources. Yet data can quietly mislead us, particularly when bias is embedded in what we collect and our measurement and interpretation methods. Effective, ethical […]
