For $X \sim N(0,\sigma^2)$, I can write the following inequality for any $\mu \in \mathbb{R}$
\begin{align} \mathbb{P}(|X+\mu|> \sigma) \geq \mathbb{P}(|X|> \sigma) \geq \frac{3}{10}. \end{align}
Can we write a similar bound if $X$ is a zero-mean sub-gaussian random variable with variance $\sigma^2$?