This paper examines the positive and negative aspects of a range of interpretations of nearest-neighbours models. Measures-oriented and distribution-oriented verification methods are applied to categorial, probabilistic and descriptive interpretations of nearest neighbours used operationally in avalanche forecasting, in Scotland and Switzerland. The dependence of skill and accuracy measures oil base rate is illustrated. The purpose of the forecast and the definition of events are important variables in determining the quality of the forecast. A discussion of the application of different interpretations in operational avalanche forecasting is presented.