Joe has a free choice between implementing either an $O(n^2)$ or an $O(n^3)$ worst case

running time algorithm to serve as an important subroutine inside his personal larger

project. Joe does indeed have several good reasons to implement the $O(n^3)$

algorithm, but which one of the following would not be a good argument to support

Joe's design decision

Inside Joe's project, the value of $n$ is guaranteed to always be small enough as

not to make any real difference in the overall running time of the program.

The first algorithm is far simpler and shorter and can be practically copy$-$pasted

from Stack Overflow, whereas the second algorithm would require careful

implementation to guarantee its correctness in all possible edge and corner

cases.

The hidden lower order terms inside the asymptotic running time of the first

algorithm are of higher order than the hidden lower order terms of the second

algorithm.

The second algorithm is $O(n^3)$ only in the worst case, and on average it runs in

$O(n)$ linear time for the overwhelming majority for possible inputs, whereas the

first algorithm is always guaranteed to be quadratic for all inputs.