However, these selections are typically very conservative because the limits tend to be driven by particular incidents or test results, rather than by fundamental understanding. Decision-making can be very challenging, especially in today’s mega-facilities, where the cost of production downtime is often staggeringly large. Thus significant practical benefits could be gained from reliable quantitative models for pitting corrosion of stainless steels. There have been several attempts to develop purely stochastic models of pitting corrosion. 3-6 On the other hand, purely deterministic models 7,8 have also been proposed. The critical processes involved in pitting corrosion can be clearly separated into those involved in initiation, nucleation of a ‘metastable’ pit, and propagation or maintenance of the stability of growth of the initially formed defect. 9 Fluctuations in current signal the nucleation, temporary growth, and cessation of growth (‘death’) of metastable pits. A steadily increasing current signals the formation of a pit whose propagation continues. Analysis of these current fluctuations leads to a simple idea connecting the frequency of initiation of metastable pits, λ, with the frequency of formation of stable pits, Λ Λ = λ exp(−µtc)