A Monte Carlo simulation is a randomly evolving simulation. In this video, I explain how this can be useful, with two fun examples of Monte Carlo simulations: The first model shows how pi can be determined with Monte Carlo sampling, and in the second part of the video we will take a look how animations can be rendered with Monte Carlo path tracing. If you want to see another Monte Carlo simulation in action, check out this video: https://www.youtube.com/watch?v=PPWEmjnqsF8 If you want to support my channel, subscribing, liking and sharing is an amazing help. Thank you! :) If you feel like this video added value to your life and you want to support MarbleScience even more, please consider becoming a patron. https://www.patreon.com/MarbleScience Chapters: 00:00 What are Monte Carlo simulations? 01:01 determine pi with Monte Carlo 03:01 analogy to study design 04:56 back to Monte Carlo 05:57 Monte Carlo path tracing 08:51 summary There is also a text version of this video on my website: https://marblescience.com/blog/monte-carlo-simulations/ You can also find me at: https://twitter.com/TobiaslLemke https://www.instagram.com/marblescience/