For a real strongly additive arithmetic function with uniformly bounded values on primes, put and . If , then under uniform sampling from converges to the standard normal distribution. For the prime omega function, the mean and variance scales are .
If a strongly additive arithmetic function is supported on primes up to , its th uniform central moment differs from the independent Bernoulli random variables model with probabilities by . Expansion of divisibility indicator functions reduces the comparison to .
The Cramér model selects integers independently with probability , and conventionally sets , . It is a random model for the distribution of primes, not an assertion of independence for actual prime numbers.
If are the increasing selected integers in the Cramér model, then almost surely . A zero block of length after has summable probability, so the Borel-Cantelli first lemma excludes these blocks eventually.
The multiplication table problem asks how many distinct integers occur as with . Counting the pairs greatly overcounts the distinct products.
Concentration of the prime omega function near , together with and the bounded mean of , gives . This elementary argument uses only distinct prime factors.
For an additive arithmetic function , , where is the mean of an additive arithmetic function and . The implied constant is absolute.

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