**What Does a Lady Tasting Tea Have to Do with Science?** - May 31, 2019.

Design of Experiments (DOE) is a statistical concept used to find the cause-and-effect relationships. Surprisingly, an experiment arising from a casual conversation about tea-drinking is one of the first examples of an experiment designed using statistical ideas.

Tags: Design of Experiments, Randomization, Statistics

**Are Vectorized Random Number Generators Actually Useful?** - Aug 28, 2018.

I reported that you can multiply the speed of common (fast) random number generators such as PCG and xorshift128+ by a factor of three or four by vectorizing them using SIMD instructions. Is this actually useful in practice?

Tags: Parallelism, Programming, Random, Randomization

**The Surprising Complexity of Randomness** - Jun 15, 2017.

The reason we have pseudorandom numbers is because generating true random numbers using a computer is difficult. Computers, by design, are excellent at taking a set of instructions and carrying them out in the exact same way, every single time.

Tags: Complexity, Probability, Random, Randomization

**Embrace the Random: A Case for Randomizing Acceptance of Borderline Papers** - May 16, 2016.

A case for using randomization in the selection of borderline academic papers, a particular use case which has parallels with many other possible scenarios.

Tags: Academics, ICML, NIPS, Random, Randomization

**3 Ways to Test the Accuracy of Your Predictive Models** - Feb 8, 2014.

3 different methods for testing accuracy of predictive models from 3 leading analytics experts - Karl Rexer, John Elder, and Dean Abbott explain using lift charts, randomization testing, and bootstrap sampling.

Tags: Bootstrap sampling, Dean Abbott, Decile tables, John Elder, Karl Rexer, Lift charts, Predictive Models, Randomization, Target shuffling