Distribution of $|\sin(\Theta)|$ if $\Theta$ is uniform on $(0,2\pi)$ and arcsine distribution

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Suppose $\Theta \sim Unif(0,2\pi)$ and $s \in (0,1)$. I am trying to find $P(\mid \sin(\theta) \mid < \sqrt s)$.

My attempt:

We have that

$$P(\mid \sin(\theta) \mid < \sqrt s) = P(-\sqrt s < \sin(\theta) < \sqrt s) = \\ = P(\sin(\theta) < \sqrt s) - P(\sin(\theta) < - \sqrt s) = \\ =P(\theta < \arcsin(\sqrt s)) - P(\theta < \arcsin(-\sqrt s)) = \\ = \frac{\arcsin(\sqrt s)}{2\pi} - \frac{\arcsin(-\sqrt s)}{2\pi} = \frac{\arcsin(\sqrt s)}{\pi}$$

where I've used the oddity of the arcsine function.

However, taking the derivative with respect to $s$ of this laxt expression yields

$$\frac{d}{ds}\frac{\arcsin(\sqrt s)}{\pi} = \frac{1}{\pi\sqrt{ s(1-s)}}ds$$

which integrates to $\frac{1}{2}$. Where did I miss a $2$ along the way?

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For $x\in [0,1]$, $$ \mathsf{P}(\sin(\theta)\le -x)=\mathsf{P}(\sin(\theta)\ge x)=\mathsf{P}(\arcsin(x)\le \theta\le \pi-\arcsin(x)). $$ Thus, $$ \mathsf{P}(|\sin(\theta)|\le x)=1-2\mathsf{P}(\arcsin(x)\le \theta\le \pi-\arcsin(x))=\frac{2\arcsin(x)}{\pi}. $$