Good point, that really is the key. However, itjust turns it into the almost equivalent problem of: why assume Gaussian error terms, and the rest of the article does a good job at motivating this.
Gaussian is sometimes a good approximation if the error is a sum of independent thin-tailed variables (due to the c.l.t.). That is all. The article does not, in my opinion, motivate this very well.
