èƵ

You can make fair dice from any shape you like

Want to roll an armadillo when you play Dungeons & Dragons, instead of standard dice? Now you can, thanks to a technique for mapping the probabilities produced by any shape
All of these strange-looking dice can produce a desired probability distribution
Keenan Crane

Gamers everywhere, rejoice: researchers have discovered that it is possible to transform any shape – from dragons to kittens – into a fair die, making it suitable for playing games that rely on random outcomes.

“We started from the idea of: ‘If you look at an object, can you tell its resting probabilities?’” says at Carnegie Mellon University in Pittsburgh, Pennsylvania. In other words, if you roll a particular shape, what is the probability it lands in a particular orientation?

To answer this question, Crane and his colleagues developed a geometric model to compute the resting poses of any object. Rather than physically simulate the object, the model maps the corners, edges and faces of that object onto a sphere, allowing the researchers to describe how it would fall under gravity before coming to rest. For example, if a corner is the first part of the object to touch the ground, it will then fall onto an edge determined by the position of its centre of mass, and from there onto a face.

“The big deal about what we’re doing is that we can just bypass the simulation entirely and understand these probabilities from a much simpler geometric picture,” says Crane. That then enables the design of odd-looking dice, by tweaking a shape until its resting positions match the desired probabilities.

Using their model, the researchers 3D-printed seven unusual designs. These included armadillos and kittens, both designed to land in one of three orientations with equal probability, and more exotic concepts, like a single die with probabilities equivalent to rolling two standard six-sided dice.

To test each of the dice, the team dropped them from the same height onto a hard wooden floor between 100 and 1000 times, with different people throwing the dice to limit bias, and counted how often they landed in each orientation. The probabilities produced by these real-world tests came within 3 or 4 per cent of those predicted by their model.

at Oklahoma State University says the work is “very cool” but isn’t “necessarily a silver-bullet solution to designing weird dice”. For example, the team’s method doesn’t incorporate the effects of momentum, friction or bouncing when rolling dice. “It’s more like they are – very efficiently – predicting where a die ends up if you put it down with a random orientation on a non-slip surface in low gravity. It slowly falls over and rolls down to land, without slipping or bouncing,” he says.

“Charming as it might be, it has very little to do with real dice rolling under real circumstances,” says at Stanford University, as the number of real-world tests is too small to draw significant conclusions. Crane says the work is not an “ideal solution” to the problem, but he was surprised by how momentum seemed to play only a small role in the outcome of rolling the dice.

Topics: 3d printing / Statistics