We spend 90% of our lives indoors, and radon is recognized as a carcinogen. In France, however, even among potential stakeholders in radon management, there remains debate regarding its impact on public health. In regions identified as having radon potential, the challenge is to inform the various stakeholders (including the public) about the current state of scientific knowledge regarding this pollutant and its effects, to illustrate the impact of exposure on public health, and to guide the direction of actions, while allowing stakeholders in the field to assess the associated uncertainties. The Interregional Epidemiology Units (Institut de veille sanitaire) are tasked with carrying out this work. Through a synthesis of the two studies already conducted in regions with high radon potential, this article presents the approach, its methodology, its limitations and relevance for management, as well as avenues for improvement. The two studies were conducted in Brittany and Corsica based on measurements from the residential survey carried out by the Institute for Radiation Protection and Nuclear Safety and the Ministry of Health. The risk fraction and the number of annual deaths from lung cancer attributable to lifetime radon exposure were estimated for both raw and adjusted distributions based on a model proposed by BEIR VI, which currently enjoys consensus among experts. Thus, for average exposures of 98 Bq/m³ and 197 Bq/m³, the attributable risk fraction is approximately 20% and 30%, respectively. The results show that in these regions with high radon potential, at least 50% of the risk is attributable to concentrations exceeding 100 Bq/m³, and that reducing exposure from levels above 200 or 400 Bq/m³ to lower levels has a significant impact on public health in areas with high radon potential. Based on such models, policy options could be simulated and quantified by incorporating realistic assumptions about the key factors determining the success of strategies aimed at reducing radon levels in homes. This would make it easier to optimize policy and technical choices for radon mitigation. (R.A.)