How to read the result
Small samples always look uneven — that's what randomness looks like. The chi-square test measures how far the counts are from perfectly even, taking sample size into account. The p-value is the chance of seeing a difference at least this big if the generator is fair. Values above 0.01 are completely normal; about 1 run in 100 will dip below 0.01 by pure chance.