English

Mental Age Compatibility: Quantification through the Convolution of Probability Distributions

Applications 2021-07-30 v1

Abstract

We build on the empirical finding that a human being's mental age is normally distributed around the chronological age. This opposes the frequent societal assumption "mental = chronological" which is known to be false in general but entertained for simplicity due to lack of methodology; hence disregarding that, f.e., people of different chronological ages can be much closer in their mental ages. As a quantitative approach on a scientific basis, we set up a general formula for the probability that two individuals of given ages are mentally within a certain range of years and investigate its implications i.a. by critically analyzing popular assumptions on age and computing statistical expectations within populations.

Keywords

Cite

@article{arxiv.2107.13683,
  title  = {Mental Age Compatibility: Quantification through the Convolution of Probability Distributions},
  author = {Patrick A. Haas},
  journal= {arXiv preprint arXiv:2107.13683},
  year   = {2021}
}

Comments

19 pages, 3 figures

R2 v1 2026-06-24T04:37:19.667Z