This was a lot of fun. By skipping over the formulaic details and proof and explaining the lay of the land, it makes a good starting point to explore further.

This was a lot of fun. By skipping over the formulaic details and proof and explaining the lay of the land, it makes a good starting point to explore further. Either mathematically or just some python dice rolls. Really good. Same ethos as fast.ai courses. Finally that you can add tbe /3 and /5 to get a /8 distribution makes intuitive semsw to me. / means lambda. This is because if you have people arriving to a train station you could split them by eye colour and there is no reason a particular eye colour cause there to be dependencies. (Assuming spherical cows: families arriving excepted. Assume it is downtown rush hour)