Jackpot statistics, a physicist's approach

Fuente: arXiv
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Autores principales: Gere, István, Kelemen, Szabolcs, Néda, Zoltán, Biró, Tamás S.
Formato: Preprint
Publicado: 2023
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author Gere, István
Kelemen, Szabolcs
Néda, Zoltán
Biró, Tamás S.
author_facet Gere, István
Kelemen, Szabolcs
Néda, Zoltán
Biró, Tamás S.
contents At a first glance lottery is a form of gambling, a game in which the chances of winning is extremely small. But upon a deeper look, considering that the Jackpot prize of lotteries is a result of the active participation of millions of players, we come to the conclusion that the interaction of the simple rules with the high number of players creates an emergent complex system. Such a system is characterized by its time-series that presents some interesting properties. Given the inherent stochastic nature of this game, it can be described within a mean-field type approach, such as the one implemented in the Local Growth and Global Reset (LGGR) model. We argue that the Jackpot time-series behaves ergodic for six lotteries with diverse formats and player pools. Specifying this consideration in the framework of the LGGR model, we model the lotteries with growth rates confirmed by the time-series. The reset rate is deduced mathematically and confirmed by data. Given these parameters we calculate the probability density of the Jackpot prizes, that fits well the empirically observed ones. We propose to use a single w parameter, as the product of the player pools found under the jurisdiction of the lottery and the chance that a single lottery ticket wins.
format Preprint
id arxiv_https___arxiv_org_abs_2311_04826
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Jackpot statistics, a physicist's approach
Gere, István
Kelemen, Szabolcs
Néda, Zoltán
Biró, Tamás S.
Data Analysis, Statistics and Probability
Mathematical Physics
Popular Physics
At a first glance lottery is a form of gambling, a game in which the chances of winning is extremely small. But upon a deeper look, considering that the Jackpot prize of lotteries is a result of the active participation of millions of players, we come to the conclusion that the interaction of the simple rules with the high number of players creates an emergent complex system. Such a system is characterized by its time-series that presents some interesting properties. Given the inherent stochastic nature of this game, it can be described within a mean-field type approach, such as the one implemented in the Local Growth and Global Reset (LGGR) model. We argue that the Jackpot time-series behaves ergodic for six lotteries with diverse formats and player pools. Specifying this consideration in the framework of the LGGR model, we model the lotteries with growth rates confirmed by the time-series. The reset rate is deduced mathematically and confirmed by data. Given these parameters we calculate the probability density of the Jackpot prizes, that fits well the empirically observed ones. We propose to use a single w parameter, as the product of the player pools found under the jurisdiction of the lottery and the chance that a single lottery ticket wins.
title Jackpot statistics, a physicist's approach
topic Data Analysis, Statistics and Probability
Mathematical Physics
Popular Physics
url https://arxiv.org/abs/2311.04826