![Classic Probability Problem #1: Broken Sticks, Triangles, and Probability | by Andrew Rothman | Towards Data Science Classic Probability Problem #1: Broken Sticks, Triangles, and Probability | by Andrew Rothman | Towards Data Science](https://miro.medium.com/v2/resize:fit:580/1*JhVWc8Yq4reG0qC-aAX_6A.png)
Classic Probability Problem #1: Broken Sticks, Triangles, and Probability | by Andrew Rothman | Towards Data Science
![reference request - Probability that a stick randomly broken in five places can form a tetrahedron - MathOverflow reference request - Probability that a stick randomly broken in five places can form a tetrahedron - MathOverflow](https://i.stack.imgur.com/HBhGL.jpg)
reference request - Probability that a stick randomly broken in five places can form a tetrahedron - MathOverflow
![Broken Stick, Useful For Concept Of Stress Stock Photo, Picture and Royalty Free Image. Image 22950335. Broken Stick, Useful For Concept Of Stress Stock Photo, Picture and Royalty Free Image. Image 22950335.](https://previews.123rf.com/images/perseomedusa/perseomedusa1310/perseomedusa131000032/22950335-broken-stick-useful-for-concept-of-stress.jpg)
Broken Stick, Useful For Concept Of Stress Stock Photo, Picture and Royalty Free Image. Image 22950335.
![pr.probability - If you break a stick at two points chosen uniformly, the probability the three resulting sticks form a triangle is 1/4. Is there a nice proof of this? - MathOverflow pr.probability - If you break a stick at two points chosen uniformly, the probability the three resulting sticks form a triangle is 1/4. Is there a nice proof of this? - MathOverflow](https://i.stack.imgur.com/9MqM2.png)
pr.probability - If you break a stick at two points chosen uniformly, the probability the three resulting sticks form a triangle is 1/4. Is there a nice proof of this? - MathOverflow
![Classic Probability Problem #1: Broken Sticks, Triangles, and Probability | by Andrew Rothman | Towards Data Science Classic Probability Problem #1: Broken Sticks, Triangles, and Probability | by Andrew Rothman | Towards Data Science](https://miro.medium.com/v2/resize:fit:772/1*SActZEgZTgfijgE9aThFBA.png)