Let $X$ be a Banach space, $x_1,...,x_n\in X$. I want to know if the following is true or not: $$ ||x_1+\dots+x_n|| \le 2\ \text{Avg}||\pm x_1\pm\dots\pm x_n||, $$ where the average is taken over all possible assignment of $2^n$ plus/minus signs.
For $n=1$ this is trivial. For $n=2$ we have $$\begin{align} ||x+y|| &= \frac12\left(||+x+y||+||-x-y|| \right) \\ &\le 2\cdot\frac14\left(||+x+y||+||-x-y||+||+x-y||+||-x+y|| \right) \end{align}$$
which is simple enough since there are $2$ superficial terms on the RHS. However, for $n=3$ we need all the terms $$\begin{align} ||x+y+z|| &= ||+x+y+z|| \\ ||x+y+z|| &= ||-x-y-z|| \\ ||x+y+z|| &\le ||+x+y-z|| +||+x-y+z|| +||-x+y+z|| \\ ||x+y+z|| &\le ||-x-y+z|| +||-x+y-z|| +||+x-y-z|| \\ \end{align}$$ summing over the LHS and RHS gives the result.
From this observation, it'd seem that math induction might not be the way to go. So how should we prove/disprove the inequality here?
Remark: Since the RHS is symmetric in plus/minus signs, the inequality in question actually implies something stronger(if it is true) namely $$ \text{max}||\pm x_1\pm\dots\pm x_n|| \le 2\ \text{Avg}||\pm x_1\pm\dots\pm x_n||. $$
The inequality is false for $n=4$. Let's consider the well-studied Banach space $\mathbb R$ and take $x_1 = x_2 = x_3 = x_4 = 1$. The average value of $|\pm1 \pm1 \pm1 \pm1|$ is $$\frac1{16}\left(\binom40 \cdot 4 + \binom41 \cdot 2 + \binom42 \cdot 0 + \binom43 \cdot2 + \binom44 \cdot 4\right) = \frac{24}{16} = \frac32,$$ but the maximum value is $4$.