Prime After Prime (2016)
bit-player.org
bit-player.org
If I throw a fair die 10^6 times, the probability of getting any given single outcome should behave according to Poisson statistics. On average, if I repeat a trial of 10^6 die-throwings many times, the number of outcomes of "4" (let's say) should be on average 10^6/6 = 166,667 , as mentioned in the article.
However, the exact number of times "4" comes up in a given trial itself follows a distribution around that average whose spread is about sqrt(166,667), or about 400. So the typical "error" in the frequencies given in the table should be ~few hundred.
By this reasoning, the deviations in the top table, the one given by the primes, are surprisingly small -- of order tens rather than hundreds. In other words, primes are more equitably distributed among congruence classes than we would expect independent die roll outcomes to be.
Addendum 2016-06-14. I noted above that the distribution of primes mod 7 seems flatter, or more nearly uniform, than the result of rolling a fair die. John D. Cook has taken a chi-squared test to the data and shows that the fit to uniform distribution is way too good to be the plausible outcome of a random process. His first post deals with the specific case of primes modulo 7; his second post considers other moduli.
101,103,107,109,113,115,119,121,125,127,131,133,137,139,143,145,149,151,155,157,161,163,167,169,173,175,179,181,185,187,191,193,197,199,203,205,209,211
Is this just a poor sieve for odd-number pairs or is there something more going on within the factors of 6x±1?
This explains the 6n situation pretty concisely though:
https://reflectivemaths.wordpress.com/2011/07/22/proof-prime...
6x ± 0: divisible by 2,3
6x ± 1: not divisible by 2,3
6x ± 2: divisible by 2
6x ± 3: divisible by 3
6x ± 4: divisible by 2
6x ± 5: modulus equivalent to 6x ± 1