More simulations (a larger sample) usually drives the variance down, which is why we have a better confidence in the results. This is the Law of Large numebrs:

In repeated independent tests with the same actual probability of a particular outcome in each test, the chance that the franction of times that outcome occurs differs from converges to zero as the number of trials goes to infinity.