Analyzing the Impact of Mean Subtraction on Series

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I have two random series, $X$ and $Y$, and I've defined a third series $Z$ as:

$Z = X - Y$

Now, I want to compare two other series, $Y1$ and $Y2$, to understand why $Y1$ is generally closer to $Y$ than $Y2$. $Y1$ and $Y2$ are defined as:

$Y1 = X - 2 \cdot \text{mean}(Z)$

$Y2 = X - \text{mean}(Z)$

I'm looking to explain why, under certain conditions or assumptions, $Y1$ tends to be closer to $Y$ than $Y2$ in terms of values. I need a mathematical explanation for this observation.

Thank you.