Within mathematics, finding out the quantity of prime numbers that exist below a certain integer is a challenging task. As such, there exists the prime-counting function, P(N), which returns the number of prime numbers below a given integer N. Within this function, two main methods are utilized to find the exact quantity of prime numbers: the "divide and count method" and "sieving techniques." While both of these methods have been thoroughly tested and proven over the years, the time and computational power needed to complete them, especially at higher values of N, present problems. More specifically, the "divide and count method" requires an immense amount of computational power, while commonly used "sieving techniques" are very memory intensive. And on top of the hardware problems these methods create, the "divide and count method" and "sieving techniques" also fail to provide information on the distribution of prime numbers, and the patterns that form within it. Luckily, a team of dedicated mathematicians at Nuclear Strategy Incorporated have developed a new algorithm to compute the number of primes below an integer N, which they have published in their paper "Prime Numbers Distribution Sequence."