Information theory is a framework for understanding the transmission of data and the effects of complexity and interference with these transmissions. The theory is often applied to genetics to show how information held within a genome can actually increase, despite the apparent randomness of mutations (Wiki).
Interestingly, here information theory is applied to genetics “to show how information held within the genome can actually increase.” But where did it all begin? Information cannot appear out of thin air, liquids or solids for that matter. But when it goes against the grain of evolutionists, they will continue to ridicule and laugh it off as ridiculous. They will only apply it when it suits them.
DNA could be compared to language. But actually it is much more complex, as though it is thinking for itself, like a robot. And we know, a robot must be designed, constructed, and programmed to perform.
Self-organizing
robots by Satochi Murata and Haruhisa Kurokawa, p. 245:
"All
design spesification of a molecular robot built in such a way could be reduced
to base sequences of A, C, G, and T, and with such a robot it could be said
that for the first time we have created an artificial entity that has the same information
structure as biological systems."