Agreed. I do a lot of Monte Carlo simulations of physical systems (radars, scientific models) in which same or close seeds will cause trouble. You do want a de

Agreed. I do a lot of Monte Carlo simulations of physical systems (radars, scientific models) in which same or close seeds will cause trouble. You do want a deterministic PRNG (for repeatability of the simulation). But if you seed with time alone, and spawn 100 parallel jobs, you will see repeats or near-repeats which will bias the Monte Carlo averages resulting from your simulation ensemble. In ancient times, you could xor in the PID and the IP address of the host to ensure no seed overlap. Nowadays there are other ways to introduce entropy to the seed, e.g. with dedicated system calls or /dev/random.