W_t has independent increments with W_t−W_s ~ N(0, t−s) (for 0 ≤ s < t), .
(mean of the normal distributed increments is 0)
Lévy characterization that says that the Wiener process is an almost surely continuous *martingale with W_0 = 0*
(martingale has expected increment zero)
spectral representation as a sine series whose coefficients are independent N(0, 1) random variables.
(coefficients have a mean of zero)
scaling limit of a [symmetric] random walk,
(random walk goes up and down with equal probability)
0
Bumbble Comm
On
Because by the third part of the definition there (under "Characterizations of the Wiener process"), $W_t = W_t - W_0$ is normally distributed with mean $0$ and variance $t$.
In the characterizations at Wikipedia,
(mean of the normal distributed increments is 0)
(martingale has expected increment zero)
(coefficients have a mean of zero)
(random walk goes up and down with equal probability)