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Few adult second language (L2) learners successfully attain high‐level proficiency. Although decades of research on beginning to intermediate stages of L2 learning have identified a number of predictors of the rate of acquisition, little research has examined factors relevant to predicting very high levels of L2 proficiency. The current study, conducted in the United States, was designed to examine potential cognitive predictors of successful learning to advanced proficiency levels. Participants were adults with varying degrees of success in L2 learning, including a critical group with high proficiency as indicated by standardized language proficiency tests and on‐the‐job language use. Results from a series of group discrimination analyses indicate that high‐level attainment was related to working memory (including phonological short‐term memory and task set switching), associative learning, and implicit learning. We consider the implications for the construct of high‐level language aptitude and identify future directions for aptitude research.

This paper examines a set of abstract, top-level principles and subprinciples collected from the literature to determine their usefulness in enabling the avoidance, survival, and recovery from disruptions caused by threats of various sources. The principles are compared to concrete solutions recommended by domain experts in various case studies and to the actual events in those case studies. Also examined are the limitations, conflicts, and vulnerabilities that may be apparent when concrete solutions are created from these principles. The systems considered are physical, organizational, and procedural systems. Examples include cases from fire protection, aviation, railways, and power distribution domains. Threats examined include terrorist attacks, natural disasters, and human and design error. Each principle is found to apply to different phases of the disruption cycle surrounding an encounter with a threat. It is found that principles, in general, cannot be applied singly to a system but must be combined with other principles to enable resilience. System developers in various domains can use the principles to create concrete solutions to characterize a particular system, model that solution, and determine the degree of recovery of the system from a specified threat.