The discussion centers on comparing the failure rates of linear algebra and introductory programming courses, particularly for computer science (CS) majors. It highlights that failure rates may be skewed due to the differing backgrounds of students; math majors, often more adept in mathematics, are required to take linear algebra, while CS majors must take both courses. Concerns are raised about CS majors struggling with introductory programming, which could indicate a lack of preparedness. Historical context is provided, noting that some institutions have used introductory programming courses as a screening tool, leading to high dropout rates, particularly among students without prior programming experience. Additionally, it is mentioned that at some universities, non-traditional students, like liberal arts majors, contribute to higher failure rates in introductory CS courses.