This website first started as my personal hobby. I enjoy sharing my insights on complex concepts in intuitive ways. But with each post I wrote, I started liking it more and taking the website more and more seriously.
My background is in psychology, neuroscience, data science, and programming, but for many years I have been especially passionate about probabilities and probability theory.
We all live in a complex world full of unknowns and uncertainties. One of the first things any scientist will tell you about science is that there can never be certain proofs about any empirical question. And no amount of evidence is ever sufficient to completely verify or reject a hypothesis or a theory. Of course, the same is true even for questions “officially” outside of science, like “who ate the cookies, the cat or the dog?”.
But we don’t have to be defeated by this uncertainty. On the contrary, we can and should learn to use it to our advantage for solving theoretical and practical problems. And what better way to do that than using probability theory, which is the mathematical toolbox specifically intended for this job?
I want to show that concepts and methods from probability theory, as well as related fields like machine learning, are not just for experts, but can be used in any field by anybody. I want to do that with a mixture of theoretical and practical posts related to probability theory and its concrete applications to current and historical problems of all levels of generality and “importance”.