There’s nothing staged about them.
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He’s extremely confused. The the replicative polymerases are initiated by internal stimuli, and genome replication is a regulated process. Something turns on genome replication inside the cell at some point during the cell cycle. It is no less induced or controlled than the SOS response is. They just produce fewer “accidents” than the more error-prone polymerases of the SOS-response.
They’re still just random mutations. I suppose it’s possible hegot the message though, since he’s not responded in days.
Apologies for the delay in responding, but I’ve been unable to post much due to injury.
Do you know what those were?
I doubt you do, so this isn’t much of an answer. You don’t really know what was designed.
That’s more ‘what’ than ‘how’, especially since you know neither what those units were or what process was used to arrange them.
So you don’t know.
So you won’t say.
That’s a big problem, since any design inference is dependent on knowing that the capabilities of the designer are sufficient to do the design activities. With no idea of the proposed designers capabilities, the inference fails immediately.
Your answers boil down to something you don’t know much about was designed in an unspecified way at an unknown time by an unspecified entity.
If some-one else said that, for example, the motor cars were designed by an unnamed engineer arranging the components of the first one somewhen, I doubt you’d be impressed.
Genes that are essential to modern life forms which have complex cell membranes and use DNA and proteins may not have been essential to the first cells, which may have just been lipid globules containing RNA.
Then don’t assume they had large amounts of functional information.
Most genetic algorithms can be configured to generate an arbitrary amount of functional information, simply by increasing the complexity of the problem being addressed or the capacity of the ‘organisms’ being modelled.
‘WEASEL’ GAs can be given arbitrarily long target strings. Steiner tree GAs can be given more complex arrangements of nodes. The ‘arms’ GA can be aimed at co-ordinates further from the start point, and even through a labyrinth. Any GA can be set to have larger populations, larger neural networks (if there is one) and multiple alternative or even simultaneous goals. They may take longer to run, but that’s to be expected.
If this isn’t enough, feel free to run a ‘WEASEL’ implementation with a million-letter target string yourself. I don’t need to.
If you wish to object that I haven’t provided “emperical evidence” for my claim, feel free, but remember that you not only have you provided none yourself, but that your own claims are so vague that empirical evidence is an unobtainable prospect.
Because you started by pretending, and continue to pretend, that increasing mutation rate or location makes them somehow nonrandom.
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