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Author Topic: Specification and Design  (Read 1692 times)
Reasoned Faith
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« on: October 26, 2007, 06:42:33 PM »

In another thread I said this:

Actually I agreed that a cloud shape is absolutely complex enough.  My point was that the shape could not be specified independently from the event prior to the actual stipulated occurance.  It was not detatchable in that we cannot say that we regularly observe clouds in the shape of countries. The marker for design requires complexity and specification but the cloud represents only complexity.

To which barney responded:

Specification of what? It seems that in this case you are only judging it against a known design that you recognize (not the process of design itself - which ID has not determined or defined).

That is, you say it hasn't distinguished itself apart from its process, but this is exactly what evolution is.  So, again, how do you determine that life "appears designed" when you have nothing in the process to point to as outside of its natural progression?

In the interest of maintaining the original context of the other thread, I answer this here.

As far as we know there are three modes of expanaition.  Two involve material mechanisms and include necessity driven by one or more of the physical laws and chance contingency based on random events.  A second type of contingency is purposeful and we call it design.  The question is can one detect the mode of causation by observing the characteristics of the item or event?  I claim you can by looking for clear markers for design.  One such marker is "Specified Complexity".

In the context of Specified Complexity, a specification is objectively defined in terms of a probability density of a region that includes the event or item in question and similar events that include a common definition that uniquely and directly identifies those events in that region but who's specification is detachable from the event itself.  I have described this to barney several times but he continues to pretend he hasn't received a definition.

In the cloud example, unless we tighten up the rejection region to include cloud shapes that precisely match the exact shape of Austria, we have no objective way of defining what is "Like Austria" and therefore no way to define the rejection region.  This problem arises because the specification can only be made in terms of the event itself because the specification is not detachable from the event.

So in this narrative, I have defined both design the process, and specification a potential attribute of the product of the process and have set them apart from each other.  

Barney's third point is that evolution is a process that mimics design is quite bold.  Experimental biology has confirmed that evolution is quite proficient at breaking and mixing up functional components, but it has utterly failed to generate even the first steps in generating any new multipart components.  There is no indication that evolutionary processes can generate even one new protein binding site and many theoretical reasons why it should not.
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tejtej
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« Reply #1 on: October 28, 2007, 02:30:39 AM »

Experimental biology has confirmed that evolution is quite proficient at breaking and mixing up functional components, but it has utterly failed to generate even the first steps in generating any new multipart components.

Human adaptive immune system has whole pathways with new components absent in many animals, not to mention plants and microbes.

I think that this "nothing new" claim is about he equivalent to comparing Hollywood movie industry with old Greek theaters. The "nothing new" seems to be a very subjective matter. 
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Reasoned Faith
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« Reply #2 on: October 28, 2007, 09:12:33 AM »

Experimental biology has confirmed that evolution is quite proficient at breaking and mixing up functional components, but it has utterly failed to generate even the first steps in generating any new multipart components.

Human adaptive immune system has whole pathways with new components absent in many animals, not to mention plants and microbes.

Yes, most uniquely identifiable organisms contain pathways, processes and components that are also unique.  The point of this discussion is to peer into empirical science to see if it can tell us how this is the case.  Evolutionary theory supposes that modification and natural selection accounts for these unique features.  If this is the case then we should be observing these processes in action in the process of accomplishing at least partial steps in this progression.  In addition we should be able to describe theoretically how these processes, when allowed to proceed after accounting for a theoretical maximum number of steps could possibly accomplish what the premise claims is accomplished.  The reality is that no material mechanism has ever been found that is capable of generating the kind of unique complex and specified systems that we observe when looking into biological systems.

What we find instead is that these processes do the opposite.  They break function and sometimes in the process of breaking function, they disrupt an otherwise effective attack strategy of a competitor that is applying selection pressure.  When the selection pressure is removed, the broken gene reverts back.

Thus the question of how these unique differences came into being is not answered by evolutionary processes. 

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I think that this "nothing new" claim is about he equivalent to comparing Hollywood movie industry with old Greek theaters. The "nothing new" seems to be a very subjective matter. 

You are now changing the claim.  We clearly see a wide degree of diversity, that is not in question.  I don not claim that there is "nothing new", rather the reality is that by empirical studies (observation and experimentation) we find that evolution has not generated specified complexity, evolution has not generated steps toward specified complexity. and evolutionary processes seem to be missing a host of presumed but unobserved processes that might otherwise generate specified complexity.  In addition theoretical analysis from probability and information theory provide the basis to understand why evolutionary processes have failed.  Finally observation of design processes confirm that design can account for observed diversity.
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tejtej
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« Reply #3 on: October 28, 2007, 09:31:30 AM »

Before I make a fool out of myself, what is the difference between complexity and specified complexity?
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« Reply #4 on: October 28, 2007, 10:21:55 AM »

Before I make a fool out of myself, what is the difference between complexity and specified complexity?

tejtej, I did not intend to draw you into this discussion midway, and was not expecting that you would have an interest in this.  I am happy to explain the premise and will return later to do so.
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Reasoned Faith
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« Reply #5 on: October 28, 2007, 12:14:48 PM »

In this context, we are attempting to differentiate necessity and chance contingency from guided contingency (design).  Chance events behave according to the rules of probability and statistics.  Necessity can be viewed as a chance event with probability of one.  Therefore this concept of complexity when expressed as probability provides a mechanisms to potentially differentiate chance events (including necessity with probability = 1) from design. 

The degree of complexity in this context can be viewed as the probability that a particular event could have occurred by chance.  Highly probable events can easily be accounted for by chance while improbable events become progressively more unlikely to have been a result of some chance process. 

So complexity in this context is simply a measure of the probability that the event in question might have occurred by chance.

Since we know and observe that complex events do often occur by chance, complexity alone cannot be used to accurately differentiate necessity and chance from design.  By observation, we are able to note that while complex but otherwise uninteresting things occur often by chance processes, at the same time we note that complex unique events do not occur by chance but often do by design.  What we need is an objective way to distinguish between these two kinds of complex events.  Specification is an objective method to differentiate and categorize complex events. 

An item or event is specified if one can identify a region of equal probability in the set of all possible outcomes that includes the event in question around the event such that all the events contained by this region share a common precise identifier or description that is also detachable from, that is independently specifiable from the event in question.  That is without knowledge of the event can one define a specification that fits. 

In the example of a cloud in the shape of Austria, the event while very complex, is not specifiable, among other reasons, because without the event we cannot define how closely the shape must match the shape of Austria.  We need the event in question to define the relative degree of fit allowed.  Now it would be specified if the cloud precisely matched the exact shape of Austria and was an exact scale model so to speak.  Se we don't need the cloud to identify the conditions required to specify a scale model of Austria.  I would very much like to hear of an event like that. 
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« Reply #6 on: October 28, 2007, 02:06:50 PM »

So complexity in this context is simply a measure of the probability that the event in question might have occurred by chance.

Is human adaptive immune system complex enough?

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« Reply #7 on: October 28, 2007, 03:52:59 PM »

So complexity in this context is simply a measure of the probability that the event in question might have occurred by chance.

Is human adaptive immune system complex enough?



I don't know.  The objective test for Specified Complexity is a explicit form of the Fisherian probability analysis for identifying chance events.  If you want to make the case that it is complex and specified, I am happy to entertain the idea.
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« Reply #8 on: October 28, 2007, 09:53:41 PM »

The thing is, if complexity can be measured by some kind of probability, it would help if actual values for one complex and one not complex enough example from molecular biology would be provided.
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« Reply #9 on: October 29, 2007, 01:11:40 PM »

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As far as we know there are three modes of expanaition.  Two involve material mechanisms and include necessity driven by one or more of the physical laws and chance contingency based on random events.

I would think that chance and natural law are both part of the same domain. Random events at some level are driven by natural laws. The stray photon that alters DNA has itself a causal history. You can't assess probabilities without adequate background knowlege. You certainly can't work backward from a specific function and determine that its causal history is so improbable as to require some sort of unknown intervention by an unknown agent. Can you account for all the complex chemical interactions on a global scale that can lead to the vast number of possible functional proteins? Process of elimination at this level doesn't work.

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A second type of contingency is purposeful and we call it design.

"We" need a better definition of purposeful. At what level of intent on a scale from the blind operation of natural selection to coral to a spider spinning a web to a bird building a nest to a chimp fishing for termites with his favorite stick to Ken Ham building a Creation Museum do these actions become purposeful? 

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tejtej
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« Reply #10 on: October 29, 2007, 01:26:59 PM »

The stray photon that alters DNA has itself a causal history.

I'm not a big fan of deterministic universe. Takes away the fun of living.
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« Reply #11 on: October 29, 2007, 03:48:27 PM »

The thing is, if complexity can be measured by some kind of probability, it would help if actual values for one complex and one not complex enough example from molecular biology would be provided.

Yes, and this is why the test for Specified Complexity is set up the way it is so the we have an objective rather than subjective or a relative indicator. 

First we identify the members of the sample space that contains the event and then we identify as many chance mechanisms as possible that could have generated the event in question.  From this we identify probability distribution in the sample space and the probability of that event occurring by chance.  We will compare the probability of event E,  P(E) with the opportunities available to cause the event or any of the other events in sample space that are equally or more specified.  If there are sufficient opportunities to account for this event E or any similarly specified event then chance accounts for the event otherwise we can infer that another process was involved.   If you are following me and don't have any questions, I will continue next post.
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« Reply #12 on: October 29, 2007, 09:26:00 PM »

The thing is, if complexity can be measured by some kind of probability, it would help if actual values for one complex and one not complex enough example from molecular biology would be provided.

Yes, and this is why the test for Specified Complexity is set up the way it is so the we have an objective rather than subjective or a relative indicator.

Numbers please.

While I agree that an objective measure of complexity would be a great thing, I think that so far all examples we discussed were the type of:

- not complex enough (say sickle cell anemia)
- to complex to be a result of chance event (flagellum)

Unless probability values are attached, this is a very subjective evaluation of how complex this examples are.
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« Reply #13 on: October 30, 2007, 06:46:34 AM »

The stray photon that alters DNA has itself a causal history.

I'm not a big fan of deterministic universe. Takes away the fun of living.

Not really. That's only from the perspective of looking back. There is an almost limitless potential for future fun-ness. That's what keeps me going, anyway.

I was trying to point out the futility of using an eliminative filter such as the one RF proposes to prove that what happened didn't happen particularly since what happened didn't need to happen in the way that it happened (?). Any event is so improbable at some level as to be almost mathematically impossible. Anyway, since the work goes on as far as finding evolutionary mechanisms, there is insufficient background knowlege to assess the probabilities to apply this filter for specified complexity. I don't see the utility of it (and apparently neither do any working research biologists). At what level can you apply it? Certainly not in the observed fossil transitions from reptile to mammal and the hominid sequence. Does it account for novel functions such as the observed evolution of the nylase enzyme? It uses artificially constricted parameters to set a boundary which doesn't really appear to exist in the natural world in order to default the results to concepts of intelligence and design based on faulty analogies of human technologies.

And that's the end of my speech (for about the 40th time). Thanks for listening.
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« Reply #14 on: October 30, 2007, 09:31:41 PM »

The argument is fundamentally silly. Complexity = God is a worthless explanation, as it quickly collapses in on itself due to using the trait to explain the trait under investigation while simultaneously having no evidence for the non-explanation in the first place.

If God must have done X because it's too complex to have arisen naturally, then the same applies also to God, since is equally complex if not more so. Therefore, he's a shitty rationale for the existence of all complexity in the first place. Of course, you will just use your special pleading to put God outside the scope of the problem, as theists always do.

You are also repeating the bogus nonsense about evolution not providing any evidence. Complete lie.
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