James Madison University

IA/PHIL 312. Causal Analysis. Credits 3.

Examines causal analysis in national, military, counter-, and competitive intelligence. By assessing a factor’s amount and kind of efficacy, students will learn the most reliable methods for distinguishing between relevant/irrelevant events and factors, identifying and excluding “pseudo-causes”, and anticipating higher order effects of a causal process.

Course Objectives:

Students will develop knowledge and skills to

  1.  distinguish between relevant/irrelevant information by assessing the causal impact of the involved factors on an outcome of interest
  2. recognize the major categories of “pseudo-causes” that  can appear relevant to an outcome of interest
  3. employ the most relevant causal inference strategy to exclude each kind of possible “pseudo-cause”
  4. assess an event’s importance by ascertaining its degree and type of causal influence on an outcome of interest
  5. anticipate second and third order effects of a causal process

Course Outline:

  • The conceptual foundations of causation and causal inference
  • The types of causal influence
  • The intelligence-relevant principles of causal inference by probabilistic relevance
  • The intelligence-relevant principles of causal inference through counterfactual dependence
  • Identifying and excluding redundant causes: symmetric and asymmetric
  • Identifying and excluding correlations and related spurious causes
  • Identifying and excluding interactive causal factors: disjunctive and conjunctive
  • Practice in applying above to a wide range of actual cases