The Cramér random model for the primes is a random subset ${{\mathcal P}}$ of the natural numbers with ${1 \not \in {\mathcal P}}, {2 \in {\mathcal P}}$, and the events ${n \in {\mathcal P}}$ for ${n=3,4,\dots}$ being jointly independent with ${{\bf P}(n \in {\mathcal P}) = \frac{1}{\log n}}$ (the restriction to ${n \geq 3}$ is to ensure that ${\frac{1}{\log n}}$ is less than ${1}$). Prove that almost surely, the quantity $\frac{1}{x/\log x} |\{n \leq x: n \in {\mathcal P}\}|$ converges to one as ${x \rightarrow \infty}$.
Question: We are supposed to show that the event $\lim_{x \to \infty} \frac{1}{x/\log x} |\{n \leq x: n \in {\mathcal P} \}| = 1$ has probability one. What will be the probability space $\Omega$ used to model such events, and how should one proceeds?