The meta-information challenge
We need to get past the naïve idea that we understand the genome because we know the sequence of a linear string of DNA. In fact, all we know is the first dimension out of at least four in which the genome operates (1: the one-dimensional, linear string of letters; 2: the two-dimensional interactions of one part of the string with another, directly or through RNA and protein proxies; 3: the three-dimensional spatial structure of the DNA within the nucleus; and 4: changes to the 1st, 2nd and 3rd dimensions over time). There is a tremendous amount of information packed into that genome that we have not figured out, including multiple simultaneously-overlapping codes.48 When discussing whether or not mutations can create new information, evolutionists routinely bring up an overly-simplistic view of mutation and then claim to have solved the problem while waving their hand over the real issue: the antagonism between ultra-complexity and random mutation.
If a four-dimensional genome is hard enough to grasp, there is also a huge amount of ‘meta-information’ in the genome. This is information about the information! This is the information that tells the cell how to maintain the information, how to fix it if it breaks, how to copy it, how to interpret what is there, how to use it, when to use it, and how to pass it on to the next generation. This is all coded in that linear string of letters and life could not exist without it. In fact, life was designed from a top-down perspective, apparently with the meta-information coming first. According to a brilliant paper by Alex Williams,49 for life to exist, organisms require a hierarchy of
1. Perfectly pure, single-molecule-specific biochemistry,
2. specially structured molecules,
3. functionally integrated molecular machines,
4.comprehensively regulated, information-driven metabolic functions, and
5. Inversely-causal meta-information
None of these levels can be obtained through natural processes, none can be predicted from the level below, and each is dependent on the level above. Meta-information is the top level of biological complexity and cannot be explained by naturalistic mechanisms, yet life cannot exist without it.50 Putting all other arguments for and against the rise of biological information aside, where did the meta-information, upon which all life depends, come from?
"Can mutation create new information? Yes, depending on what you mean by ‘information’. Also, ‘new’ does not necessarily imply ‘better’ or even ‘good’. When evolutionists cite examples of ‘new’ information, they are almost invariably citing evidence of new traits, but these traits are caused by the corruption of existing information. Mutations can create new varieties of old genes, as can be seen in white-coated lab mice, tailless cats, and blue-eyed people. But damaging mutations cannot be used to vindicate molecules-to-people evolution. Breaking things does not lead to higher function (and presupposes a pre-existing function that can be broken). Also, not all new traits are caused by mutation! Some come about by unscrambling pre-existing information, some from decompressing packed information, some from turning on and off certain genes.
In all the examples I have seen used to argue against creation, evolution is not helped. There are no known examples of the types of information-gaining mutations necessary for large-scale evolutionary processes. In fact, it looks like all examples of gain-of-function mutations, put in light of the long-term needs of upward evolutionary progress, are exceptions to what is needed, because every example I have seen involves something breaking."
what do you mean by breaking? define information please. molecules to people? what the fuck is that? who ever claimed that?
this is so juvenile I can't even read it, breaking things? sickle cell anemia is a "break". turning on or off genes has a massive effect, all living species share the same DNA, hence gene expression is all that seperates us (aside from the codons).
it wasn't written by me, it was written by the same PHD who wrote this: