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arXiv · 2107.13683

Mental Age Compatibility: Quantification through the Convolution of Probability Distributions

Patrick A. Haas
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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.

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Patrick A. Haas. 2021-07-29. Mental Age Compatibility: Quantification through the Convolution of Probability Distributions. https://arxiv.org/abs/2107.13683

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