How can we measure the information created by natural selection?
Joel R. Peck, David Waxman

TL;DR
This paper introduces a new measure called reproductive information to quantify the information created by natural selection, linking it to existing information metrics and enabling measurements at phenotypic and group levels.
Contribution
It proposes a novel measure of reproductive information, connecting it to standard information theory and demonstrating its applicability to phenotypes and groups.
Findings
Reproductive information correlates with biological adaptation measures.
It can be estimated from phenotypic data, not just genotypes.
The measure has implications for understanding units of selection and major evolutionary transitions.
Abstract
Natural selection can create information. In particular, because of the action of natural selection, we can often learn something about an environment by examining local organisms, and vice versa. For example, the characteristics of a cactus suggest that the local environment is relatively dry, and if a natural terrestrial environment is dry, then we will generally have an enhanced probability of finding drought-resistant plants (like cacti). Here, we propose a measure that can be used to quantify the information that is created by natural selection. We call the proposed quantity reproductive information, and we show that it has an intuitively satisfying relationship to standard quantitative definitions of information. Reproductive information is also approximately equal to a previously defined measure of biological adaptation. In addition, we explain how reproductive information can be…
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