The study considers the model of an abstract organism, called Arbitrary Oscillator (ArbO), which is capable of making decisions at each timed step. These decisions are ‘critical’ since, randomly, their outcome can be ‘fatal’ for ArbO, thus bringing its life cycle to an end. If we impose limits on the total number of critical decisions using a fixed parameter TC (Total Cases), we can treat the statistical distribution of fatal events over a large number of ArbOs using statistical mechanics methods. This results in a mathematically definable asymmetric ‘bell’ distribution, which can be compared with demographic mortality curves (dx curves), with an appropriate choice of time scale (one step = five years). The possibility of modeling and therefore predicting the trend of demographic mortality is of great scientific and social interest. Our conjecture assumes that, as demographic longevity improves, i.e., with the lengthening of lifespan, the actual demographic curves will increasingly match the mathematical distribution curve of our ArbO. The statistical distribution of the ArbO was introduced by the author in a previous paper and is here recalled and formalized analytically and its characteristics are detailed. The above said conjecture is based on two case studies: mortality in the United States from 1900 to 2017 and mortality in Italy from 1974 to 2019. The conjecture, applied to both case studies, appears reasonable. Tables and comparison figures are provided to support this. Also, an attempt to predict demographic mortality behavior and limitations for the years to come is provided. Finally, the more general theme of the nature of human aging can also be related to our conjecture, since it can highlight the presence of an absolute limit on the number of ‘critical’ events (the TC parameter). As ‘critical’ events accumulate over time by aging, approaching the final limit value, the probability of death will tend toward one.
| Published in | Humanities and Social Sciences (Volume 13, Issue 6) |
| DOI | 10.11648/j.hss.20251306.21 |
| Page(s) | 606-622 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Demographic Mortality, Cellular Automata, S-System Distribution, Demographic Life Tables, Aging
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APA Style
Alberti, G. (2025). A Conjecture on Demographic Mortality at High Ages. Humanities and Social Sciences, 13(6), 606-622. https://doi.org/10.11648/j.hss.20251306.21
ACS Style
Alberti, G. A Conjecture on Demographic Mortality at High Ages. Humanit. Soc. Sci. 2025, 13(6), 606-622. doi: 10.11648/j.hss.20251306.21
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Download@article{10.11648/j.hss.20251306.21,
author = {Giuseppe Alberti},
title = {A Conjecture on Demographic Mortality at High Ages},
journal = {Humanities and Social Sciences},
volume = {13},
number = {6},
pages = {606-622},
doi = {10.11648/j.hss.20251306.21},
url = {https://doi.org/10.11648/j.hss.20251306.21},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hss.20251306.21},
abstract = {The study considers the model of an abstract organism, called Arbitrary Oscillator (ArbO), which is capable of making decisions at each timed step. These decisions are ‘critical’ since, randomly, their outcome can be ‘fatal’ for ArbO, thus bringing its life cycle to an end. If we impose limits on the total number of critical decisions using a fixed parameter TC (Total Cases), we can treat the statistical distribution of fatal events over a large number of ArbOs using statistical mechanics methods. This results in a mathematically definable asymmetric ‘bell’ distribution, which can be compared with demographic mortality curves (dx curves), with an appropriate choice of time scale (one step = five years). The possibility of modeling and therefore predicting the trend of demographic mortality is of great scientific and social interest. Our conjecture assumes that, as demographic longevity improves, i.e., with the lengthening of lifespan, the actual demographic curves will increasingly match the mathematical distribution curve of our ArbO. The statistical distribution of the ArbO was introduced by the author in a previous paper and is here recalled and formalized analytically and its characteristics are detailed. The above said conjecture is based on two case studies: mortality in the United States from 1900 to 2017 and mortality in Italy from 1974 to 2019. The conjecture, applied to both case studies, appears reasonable. Tables and comparison figures are provided to support this. Also, an attempt to predict demographic mortality behavior and limitations for the years to come is provided. Finally, the more general theme of the nature of human aging can also be related to our conjecture, since it can highlight the presence of an absolute limit on the number of ‘critical’ events (the TC parameter). As ‘critical’ events accumulate over time by aging, approaching the final limit value, the probability of death will tend toward one.},
year = {2025}
}
TY - JOUR T1 - A Conjecture on Demographic Mortality at High Ages AU - Giuseppe Alberti Y1 - 2025/12/27 PY - 2025 N1 - https://doi.org/10.11648/j.hss.20251306.21 DO - 10.11648/j.hss.20251306.21 T2 - Humanities and Social Sciences JF - Humanities and Social Sciences JO - Humanities and Social Sciences SP - 606 EP - 622 PB - Science Publishing Group SN - 2330-8184 UR - https://doi.org/10.11648/j.hss.20251306.21 AB - The study considers the model of an abstract organism, called Arbitrary Oscillator (ArbO), which is capable of making decisions at each timed step. These decisions are ‘critical’ since, randomly, their outcome can be ‘fatal’ for ArbO, thus bringing its life cycle to an end. If we impose limits on the total number of critical decisions using a fixed parameter TC (Total Cases), we can treat the statistical distribution of fatal events over a large number of ArbOs using statistical mechanics methods. This results in a mathematically definable asymmetric ‘bell’ distribution, which can be compared with demographic mortality curves (dx curves), with an appropriate choice of time scale (one step = five years). The possibility of modeling and therefore predicting the trend of demographic mortality is of great scientific and social interest. Our conjecture assumes that, as demographic longevity improves, i.e., with the lengthening of lifespan, the actual demographic curves will increasingly match the mathematical distribution curve of our ArbO. The statistical distribution of the ArbO was introduced by the author in a previous paper and is here recalled and formalized analytically and its characteristics are detailed. The above said conjecture is based on two case studies: mortality in the United States from 1900 to 2017 and mortality in Italy from 1974 to 2019. The conjecture, applied to both case studies, appears reasonable. Tables and comparison figures are provided to support this. Also, an attempt to predict demographic mortality behavior and limitations for the years to come is provided. Finally, the more general theme of the nature of human aging can also be related to our conjecture, since it can highlight the presence of an absolute limit on the number of ‘critical’ events (the TC parameter). As ‘critical’ events accumulate over time by aging, approaching the final limit value, the probability of death will tend toward one. VL - 13 IS - 6 ER -
Independent Researcher, Como, Italy
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