Collaborating Authors

Japanese Monkeys Have Repeated 'Sexual Interactions' With Deer, Says Study

International Business Times

A video showing adolescent female monkeys in Japan repeatedly climbing onto the backs of sika deer and engaging in sexual behaviors were being shared widely in the internet recently. Since then, several reports explaining this weird animal behavior were released.

Starting 'Next For Me': Making Assumptions And Forming Hypotheses

Forbes - Tech

Next For Me publishes a weekly newsletter for 50 audiences. Along with our readers, we are hosting meetups across the country to discuss topics about working after 50 and bigger ideas like'What is our place in the world?'.

Do We Live in a Simulation? Chances Are about 50–50


It is not often that a comedian gives an astrophysicist goose bumps when discussing the laws of physics. But comic Chuck Nice managed to do just that in a recent episode of the podcast StarTalk. The show's host Neil deGrasse Tyson had just explained the simulation argument--the idea that we could be virtual beings living in a computer simulation. If so, the simulation would most likely create perceptions of reality on demand rather than simulate all of reality all the time--much like a video game optimized to render only the parts of a scene visible to a player. "Maybe that's why we can't travel faster than the speed of light, because if we could, we'd be able to get to another galaxy," said Nice, the show's co-host, prompting Tyson to gleefully interrupt.

A General Guidance of Hypothesis Testing – Towards Data Science


Hypothesis Testing, as such an important statistical technique applied widely in A/B testing for various business cases, has been relatively confusing to many people at the same time. This article aims to summarize the concept of a few key elements of hypothesis testing as well as how they impact the test results. The story starts from hypothesis. When we want to know any characteristics about a population like the form of distribution, the parameter of interest(mean, variance etc.), we make an assumption about it, which is called the hypothesis of population. Then we pull samples from population, and test whether the sample results make sense given the assumption.