The Isaac Newton Institute: Creating eureka moments

Causal inference is the art of discerning cause and effect from data. Find out more in this introduction.

RCTs are the gold standard when it comes to testing whether an intervention, such as a new medical drug, works.

Data can give us incredibly useful insight, but they can also mislead. Here's an example.

How do you discern cause and effect when you can't do a controlled experiment? Directed acyclic graphs (DAGs) are a fun and important tool.

Cognitive biases shape how we understand data. Being aware of them gives us a better chance of avoiding bias.

A law of nature that was reportedly inspired by an apple falling from a tree. 

In this excerpt from his new book, Blueprints, Marcus du Sautoy makes a case for the suprising connections between maths and art.

A short explanation of the fundamentals of category theory. 

Pure mathematics has a habit of eventually becoming useful. This series of articles explores an example: the rise of category theory in physics and the quest to build quantum computers.

Category theory, which has previously been described as "abstract nonsense" turns out to be just the language we need to describe materials that may help us build quantum computers. Find out more in this article.

The quantum Hall effect is a curious phenomenon: not only does it make effects from quantum physics visible in the macroscopic world, it also links physics to the pure mathematical area of topology. Find out more in this article.

What does water feeding to ice have to do with symmetry? This article provides an answer and begins to tell the astonishing story of how theory once denounced as "abstract nonsense" may help us build quantum computers.