Video4: Information Theory, DNA, and Evolution in the 21st Century

Perry Marshall, author of Industrial Ethernet, and Communications Engineer Bill Jenkins, give a technical treatment of information theory as it relates to DNA and evolution.

Page Contents:

Page 1: Introduction to DNA as a Communication System, Information Theory 101, How This Argument Started in the First Place, Definition of a Communication System, Where did DNA come from?

Page 2: The Origin of Nature and Science, Purpose and Theology in Codes, Why Science Succeeded in Europe, Origin of Life, Flawed Designs and Vestigial Organs, How to Study DNA

Page 3: Distinguishing between Codes and Non-Codes, Evolution through the lens of Information Theory: Random Mutations and Noise, Multiple Layers of Information, Linguistics and the Engineering 7-Layer Model, Random Mutations and Computer Programs

Page 4:Error Corrections in DNA, Barbara McClintock’s Corn (Maize) Experiments, A New Theory of Evolution: Cellular Genetic Engineering, What if DOS Evolved into Microsoft Windows, Evolutionary Programming, The Evolutionary Algorithm is intentional, Evolution as a Highly Optimized Calculation.

Page 5: Kurt Gödel’s Incompleteness Theorem and the Origin of the Universe, The Existence of Nature and Information, Information and the Trinitarian Concept of God, Information Theory, Good, Evil, and Determinism vs. Free Will

Error Corrections in DNA pt 1: Guard Against Random Mutations 

Clarification: It’s important to mention exonuclease proofreading during polymerization and mismatch correction after replication.

Error Corrections in DNA pt 2: Barbara McClintock’s Corn (Maize) Experiments 

Clarification: McClintock looked directly at chromosomes through the microscope to visualize chromosome changes. Cells, not DNA, carry out repair. Look at her Nobel Prize speech.

A New Theory of Evolution: Cellular Genetic Engineering 


Some errors: Shapiro’s work was with bacteria, not protozoa. Specific mutations of splicing a single protein under starvation stress increased at least 100,000-fold. Dr. Shapiro was not able to determine how many incorrect evolution mutation attempts were made vs. successful mutations.

The 100,000 breaks come in ciliated protozoa as demonstrated by David Prescott, Laura Landweber, Martin Gorovsky and many others. These edits are highly non-random and RNA-guided, but in this case, there was no change in adaptations. These genome acrobatics go on at each episode of starvation and sexual reproduction. They convert the germline nucleus into a restructured simplified somatic nucleus.

What if DOS Evolved into Microsoft Windows?
Evolutionary Programming is Organized Top-Down, not Bottom-Up
The Evolutionary Algorithm is Intentional – and That’s a Testable Scientific Hypothesis
Evolution as a Highly Optimized Calculation, Not a Random Walk

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