Step 1: Independence and symmetry.
For i.i.d. continuous random variables, all $4! = 24$ possible orderings are equally likely.
Step 2: Focus on ordering.
We need cases where $X_3 < X_2$ and $X_2 < \max(X_1, X_4)$.
The probability that $X_3 < X_2$ is $\dfrac{1}{2}$.
Given this, the probability that $X_2$ is not the largest among $\{X_1, X_2, X_4\}$ is $\dfrac{2}{3}$.
Step 3: Multiply probabilities.
\[
P = \frac{1}{2} \times \frac{2}{3} = \frac{1}{3}.
\]
Step 4: Conclusion.
\[
\boxed{P = \frac{1}{3}}.
\]