I suspect that primes containing certain digits (e.g. $1$, $3$) are way more common than primes containing other digits e.g. containing $2,4$ since my intuition tells me the latter combination is divisible by so many numbers: For example $13$ and $31$ are prime while neither $24$ or $42$ is (I take here the trivial null case of $2$'s and $4$'s for illustrative purposes).
This came to my mind as I was playing around with $1$'s and $3$'s trying to guess a prime number consisting of these two digits. To my surprise I guessed the following primes (tested with PrimeQ[...] of Mathematica) quite easily (the first ones in a couple of guesses while that last one took a dozen):
$$ 11131, \\ 111311131 \\ 11131113113131111 \\ 11131113111111111111131311 $$
How come? Is this pure luck? I have a hard time believing it be pure luck due to the Prime Number Theorem.
(For the last number in the list I basically put in $1$'s and $3$'s randomly a dozen of times until I hit a prime.)
This is not so surprising: An improvement to the P.N.T. implies that the number $\pi(x)$ of primes $\leq n$ is given by the (offset) logarithmic integral function, $$\operatorname{Li}(x) := \int_2^x \frac{dt}{\log t} .$$ Heuristically, the probability that a given random integer $\approx N$ is prime is $$\left.\frac{d}{dx}\right\vert_N \operatorname{\operatorname{Li}(x) = \frac{1}{\log N}},$$ but all primes $> 2$ are odd, so (again heuristically) the probability that a given random odd integer $\approx N$ is twice that, $$\frac{2}{\log N}.$$ For the largest number $N_0 := 11131113111111111111131311 11131$ in your list, computing gives $$\frac{2}{\log N_0} = 0.034679\!\ldots \approx \frac{1}{29} ,$$ so, naively, one would have to try $29$ odd numbers of that magnitude to find a prime, and one would find one in the first dozen attempts $> \frac{1}{3}$ of the time. One could derive a similar approximation using just the P.N.T., but the math for this better approximation is a little easier.