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yates9 's review for:
This book is a must read and must analyse and tease out the contradictions, inconsistencies and general confusion with respect to what it means for something to be scoentific fact.
The author even brings much caution himself to the field and to how many evolutionary interpretations are post hoc explanations. And yet thoroughout the text the author makes mistakes of ascribing what is “self evident” evolutionary mechanism without explaining what kind of knowledge this is, without noting how it is not falsifiable.
It is a huge challenge but any logical thinker should be prepared to explain how they relate.
For me the biggest issue is one of types of knowledge. The idea that a particular trait might play a key role in the evolutionary mechanics of a species is not the same kind of absolute knowledge that it is optimal, that it is well adapted, that it is a special adaptation even that it is a solution to something...
In the real evolutionary context you cannot run perfect simulations and so you cannot falsify a particular trait. When you use genetic algorithms in computing there is a huge difference which is that you know the fitting function. For anything real this is so complex that it is nearly meaningless.
Still this is a book one must read to articulate your thinking around the intrinsic limitations of this field.
The author even brings much caution himself to the field and to how many evolutionary interpretations are post hoc explanations. And yet thoroughout the text the author makes mistakes of ascribing what is “self evident” evolutionary mechanism without explaining what kind of knowledge this is, without noting how it is not falsifiable.
It is a huge challenge but any logical thinker should be prepared to explain how they relate.
For me the biggest issue is one of types of knowledge. The idea that a particular trait might play a key role in the evolutionary mechanics of a species is not the same kind of absolute knowledge that it is optimal, that it is well adapted, that it is a special adaptation even that it is a solution to something...
In the real evolutionary context you cannot run perfect simulations and so you cannot falsify a particular trait. When you use genetic algorithms in computing there is a huge difference which is that you know the fitting function. For anything real this is so complex that it is nearly meaningless.
Still this is a book one must read to articulate your thinking around the intrinsic limitations of this field.