OK, I think I see what you're saying. You're saying that if I buy 10 biased random lottery tickets, and someone else buys 10 non-biased random lottery tickets, they have a much better chance of winning because their tickets will cover more of the possible numbers than mine will.
I admit, I can't answer this one. Anyone who's better at statistics than I am?
This does not affect odds of winning in the sense in which you're implying (see below for the disclaimer)

.
Say person 1 has two lottery tickets in the OP lottery
1,2,3,4,5,6,7 and 2,3,4,5,6,7,8
given that there are (36 choose 7) = 8 347 680 unique different combinations, and he has chosen 2 distinct combinations he has a 2/8,347,680 chance of winning.
say person 2 has two lottery tickets in the OP lottery
1,2,3,4,5,6,7 and 8,9,10,11,12,13,14
given that there are still (36 choose 7) = 8 347 680 unique different combinations, and he has also chosen 2 distinct combinations he has a 2/8,347,680 chance of winning.
Those 8,347,780 combinations are all unique - and each one has the same odds of being chosen.
*It is worth noting that there would be an absolutely minutely greater chance of the glitched RNG throwing up exactly the same numbers. And if you're sitting there with two duplicate tickets, then you only have one distinct (1/8,347,680) chance of winning. This may or may not affect your EV dependent on whether there is a fixed payout for every winner, or a shared pot for all winners.
This scenario would happen by chance with a non-glitched machine 1/(8 347 680x8 347 680) = 6.96837614 × 10
-13
And say, the glitched RNG was so glitched that it completely missed out 1-9 - so the combinations were (27 choose 7) = 888 030, the chance of this RNG throwing up identical tickets would be
1/888 030x888 030 = 1/788,597,280,900 = 1.26807437 × 10
-12
So this would be about 90 times more likely than with a completely random RNG, but still vanishingly, incredibly unlikely.*