A normal process has a lot of outcomes around the mean and then fewer and fewer outcomes away from the mean. From this, can we conclude that a normal process reverts to the mean whenever it gets a certain distance away from the mean? In that sense, is a normal process the same as a mean reverting process?
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If by a "normal process" you mean that $Y_t\sim N(\mu,\sigma^2)$ with the $Y$'s independent of each other then its mean - both unconditional and conditional on previous $Y$'s - is always $\mu$.
That's stronger than mean-reversion, since the conditional mean doesn't ever deviate from $\mu$, no matter how far from $\mu$ the previous observation was.
If you meant something else, you need to be more specific about your intent.

Glen_b
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