The discussion centers on whether ln(E(x^n)) is equal to E(ln(x^n)) for a continuous variable x where x is non-negative. It clarifies that E refers to expectation, not the exponential function. The consensus is that the equality does not hold, as E(g(x)) is generally not equal to g(E(x)), due to the properties of integrals. Additionally, Jensen's inequality is mentioned, noting that for a convex function g, g(E(X)) is less than or equal to E(g(X)). The conversation emphasizes the complexities of expectations and integrals in mathematical analysis.