I feel like the pick random reporter isn’t truly random. I’ve gotten the same option 6 times in a row out of a pick random 1-6. Similar things happen all the time, which is statistically almost impossible
Random number generators in programming are never truly random. You chose a small set of numbers, which means you’re more likely to get the same number many times. You just got unlucky.
I thought so too, but this is a common occurrence for me, even across projects.
Hmm… When I generate a list of a Million random numbers from 0-9 and then look at distribution of its bi-grams, it seems pretty evenly spread out, with occurrences ranging from a minimum of 12114 to a maximum of 12606. Similar frequency distributions occur for larger subchains. Dunno if this is a good way to examine a RNG, but I find it pretty convincing:
If it were less random I’d expect more of a bell curve, or at least some distinct peaks. But I’m not seeing any.
The word is: pseudorandom.
Did you mean: lucky?
unlucky also makes sense, because they wanted random and they were so unlucky it did not seem random.
