*Statistical Zen: 40 Stories of Numbers* is a collection of short reflections that explore the meaning behind data, models, and uncertainty. Each story distils a key statistical idea—such as variability, inference, bias, or modelling—into a simple narrative that connects technical concepts with intuition. Rather than focusing on formulas or computation, the series emphasises how to *think* statistically: understanding assumptions, questioning results, and interpreting evidence with clarity and humility. The aim is to bridge rigorous statistical reasoning with accessible insights, making complex ideas more approachable without losing their depth. These stories are designed for students, practitioners, and anyone interested in developing a more thoughtful and reflective approach to data analysis.

his study investigates factors influencing fear of race/ethnic/religious-based attacks in Great Britain. Using national survey data, we examine the relationship between socioeconomic deprivation, demographic characteristics, and reported worry, highlighting the uneven distribution of safety concerns across different groups.