Radioprotection norms have been based on risk models that have evolved over
time. These models show relationships between exposure and observed effect
s. There is a high level of uncertainty regarding lower doses. Recommendati
ons have been based on the conservative hypothesis of a linear relationship
without threshold value. This relationship is still debated, and the diver
se observations do not allow any definitive conclusion. Available data are
contradictory, and various interpretations can be made. Here we review an a
lternative approach for defining causation and reconciling apparently contr
adictory conclusions. This alternative epidemiologic approach is based on c
ausal groups: Each component of a causal group is necessary but not suffici
ent for causality. Many groups may be involved in causality. Thus, ionizing
radiation may be a component of one or several causal groups. This formali
zation reconciles heterogeneous observations but implies searching for the
interactions between components, mostly between critical components of a ca
usal profile, and, for instance, the reasons why specific human groups woul
d not show any effect despite exposure, when an effect would be expected. r
adiation protection, radiation risks, risk factors.