Aren you surprised that the information gain Rsequence is exactly as predicted by Rfrequency?
Yup. • Did you know that Rsequence would evolve to Rfrequency when you first ran the program? No, I ran the program to see if this would happen or not. I was testing my PhD thesis. If the program had failed, my thesis would have been in jeopardy! • But you set up the size of the genome and the number of sites, so didn’t you put information into the organisms that way? Nope. More precisely, the input parameters define Rfrequency, which is determined by information put into the program, but that is not the information being measured from the organisms. Remember that we are measuring Rsequence from patterns in the genome, and this starts out near zero bits, as you can see from the green curve in the graph. Also, the size of the genome and number of required sites can be set to a wide variety of values and yet Rsequence still evolves towards Rfrequency. This only happens by replication, mutation and selection, demonstrating that those factors are necessary and sufficient for information ga
