Testimonials

Randomly chosen testimonials:

Seeding Molecular Dynamics and Monte Carlo Simulations

I write and use molecular dynamics and Monte Carlo simulators which have their own pseudo-random number generators (for portability and reproducibility). These require the user to input a random number seed. If I want to perform an ensemble of N statistically independent runs (e.g., with different initial conditions), I need N independent seeds. So I use your site to generate seeds to paste into my input script, i.e., your random generator generates random seeds for input to a pseudo-random generator. Say that 5 times fast.

—Steve Plimpton, Sandia National Labs

Simulation Data Generation R Integer Generator 2008

Allocating High School Positions

We are a charter high school in Chesterfield, Virginia, USA. I use Random.org to assign numbers to student applications. We always have more applicants than positions available, so the most fair way to determine who gets offered a position at our school is using Random.org to generate random sequences for a lottery. Thank you for making this process so easy for me; no one can question the fairness of your truly random numbers.

—Kelly Kennedy, Chesterfield Community High School, Virginia, USA

Education and Learning Fairness and Equality Selection/Sampling R Integer Generator 2003

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Testimonials

Seeding Molecular Dynamics and Monte Carlo Simulations

Allocating High School Positions