Information: A Key to Making Accurate Predictions

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Information is defined as the key that enables someone to make predictions with accuracy better than chance. This definition aligns closely with our everyday understanding of information. When we possess information about a system, we can predict its states accurately, such as finding a coffee place in a specific location. Mathematically, information is the tool used for making predictions beyond random guesses, distinguishing it from mere speculation. This ability to make precise predictions not only holds significance in everyday life but also plays a crucial role in the realm of biology.

Evolution is sometimes described -- not precisely, but with some justification -- as being about the "survival of the fittest." But that idea doesn't work unless there is some way for one generation to pass down information about how best to survive. We now know that such information is passed down in a variety of ways: through our inherited genome, through epigenetic factors, and of course through cultural transmission. Chris Adami suggests that we update Dobzhansky's maxim "Nothing in biology makes sense except in the light of evolution" to "... except in the light of information." We talk about information theory as a subject in its own right, and how it helps us to understand organisms, evolution, and the origin of life.

Blog post with transcript: https://www.preposterousuniverse.com/podcast/2024/02/19/266-christoph-adami-on-how-information-makes-sense-of-biology/

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Christoph Adami received his Ph.D. in physics from Stony Brook University. He is currently professor of Microbiology and Molecular Genetics as well as Physics and Astronomy at Michigan State University. Among his awards are the NASA Exceptional Achievement Medal and the Lifetime Achievement Award from the International Society for Artificial Life. His new book is The Evolution of Biological Information: How Evolution Creates Complexity, from Viruses to Brains.

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