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Caring for parents: an evolutionary rationale

Overview of attention for article published in BMC Biology, May 2018
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Title
Caring for parents: an evolutionary rationale
Published in
BMC Biology, May 2018
DOI 10.1186/s12915-018-0519-2
Pubmed ID
Authors

J. Garay, S. Számadó, Z. Varga, E. Szathmáry

Abstract

The evolutionary roots of human moral behavior are a key precondition to understanding human nature. Investigations usually start with a social dilemma and end up with a norm that can provide some insight into the origin of morality. We take the opposite direction by investigating whether the cultural norm that promotes helping parents and which is respected in different variants across cultures and is codified in several religions can spread through Darwinian competition. We show with a novel demographic model that the biological rule "During your reproductive period, give some of your resources to your post-fertile parents" will spread even if the cost of support given to post-fertile grandmothers considerably decreases the demographic parameters of fertile parents but radically increases the survival rate of grandchildren. The teaching of vital cultural content is likely to have been critical in making grandparental service valuable. We name this the Fifth Rule, after the Fifth Commandment that codifies such behaviors in Christianity. Selection for such behavior may have produced an innate moral tendency to honor parents even in situations, such as those experienced today, when the quantitative conditions would not necessarily favor the maintenance of this trait.

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The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 18%
Researcher 4 18%
Student > Master 3 14%
Professor > Associate Professor 2 9%
Student > Ph. D. Student 2 9%
Other 3 14%
Unknown 4 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 41%
Nursing and Health Professions 3 14%
Biochemistry, Genetics and Molecular Biology 2 9%
Mathematics 1 5%
Environmental Science 1 5%
Other 1 5%
Unknown 5 23%