## Interacting Groups## Based on Happiness, Longevity, and Population |
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In the blog post "Group Interaction" I discussed how two groups might choose to interact, and what the consequences might be in terms of forming larger groups. I recently performed another set of simulations based on the modeling of population, longevity, and happiness discussed in "Assessments." This new set was for two subgroups, and for global historical data treated as interactions between 3000 subgroups. There are three types of groups based on their interactions with each other: - Isolated subgroups (no interactions)
- Combined (competition between subgroups)
- All (subgroups share equally)
The following graph shows happiness ( |
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Variables and their ranges are as follows:
See Happiness, Longevity, and Population for variable definitions. For the |
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The following graphs show the results of two subgroups combining with each other, normalized to the total population of the original (isolated) subgroups, and the average happiness and longevity of the original subgroups. *I1*is isolated subgroup 1*I2*is isolated subgroup 2*C1*is subgroup 1 as part of the combined group*C2*is subgroup 2 as part of the combined group*Isolated*is the isolated groups as a whole*Combined*is the combined group as a whole
Roll over each image for a text summary of the results. |
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The following graph shows how the relative powers ( Note that no population change occurs for about 3% of this random sample of 500 pairs; these correspond to differences in growth rate only. |
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For a discussion of these results, see "The Longevity Trap." | ||||||||||||||||||||

© Copyright 2015 Bradley Jarvis. All rights reserved. |