Let $X_1,...,X_n$ be a random sample. Find a minimal sufficient statistic for $\theta$.
$$f(x|\theta)=\frac{e^{-(x-\theta)}}{(1+e^{-(x-\theta)})^2}$$,
$-\infty <x<\infty, -\infty <\theta<\infty$
The answer is the order statistics. I am not sure what the meaning of x and y have the same order statistics is.