“The sciences do not try to explain, they hardly even try to interpret, they mainly make models. The justification of such models is solely and precisely that they are expected to work.”

- John von Neumann

Newest

  • Building Prediction Models

  • DIY Stock Trading Bot

  • Fracticality of Natural Systems

  • Information over Time

  • Scoping the Solution Space

  • Simultaneity Doesn’t Exist

  • Exploring Time Data

  • Event Occlusion and Sample Resolution

Popular

Core

  • What is Prediction?

  • A Prediction Glossary

  • What is Time?

  • Models as Compression

  • The Brain’s Time

  • Nested Clocks

In most cases, predicting the future is impossible. However, there are certain criteria and areas of reduced dynamics where it can be predicted up to a certain time horizon. After this horizon, the dynamics exponentially make it harder to predict an outcome to a point of equivalence to infinitely impossible. Sometimes long-term windows open up, but they’re open so briefly it’s almost impossible to catch them. I know this, because I know time. If I have one superpower, it’s understanding how time works.

In college, the only class I didn’t take notes in was diff eq. Which was made extra hard because my professor barely spoke English. Nor did I do any of the homework assignments. I didn’t need to. I got 100%’s on almost all my exams and baffled my friends in the class who were struggling to keep up after hours of study and exercise. I just got it. Modeling change was so intuitive and natural. I even used those recently learned insights to independently reproduce Faraday’s law of induction just from thinking about the situation being modeled.

Concepts

Time is the dimension from which most meaning is created. It is space stretched in a different way allowing for composition of forms into new forms. It is the blank canvas of Creation itself. It is the metric space for real-world interpolation.

- Bird