The Gompertz approximation conjecture for ties in the M&M Game
Let denote the probability of a tie in the M\textup{&}M Game, where the probability of flipping heads evolves according to an exponential distribution, and let be the rate parameter controlling how quickly that probability increases as M\textup{&}M's are depleted. For large , the Gompertz approximation conjecture. the probability of a tie is primarily governed by and satisfies
This is an empirical approximation motivated by simulation results and a Gompertz curve fit; the supplied text gives no proof or resolution, so its status remains open.
References
Primary source
Snehesh Das, Steven J. Miller, Geremias Polanco, Yilong Wu, Xiaochen Wang, April Yang and Chris Yao, “Generalizations of the M&M Game”, arXiv:2502.07402 (2026).
Progress summary
Nothing recorded yet. Refresh searches the literature and the public web for attempts on this problem, and writes the first summary here.
Solutions 0
No solutions have been posted yet.