On Detection and Verification of Analogies
In comment # 20 at http://specifiedcomplexity.freehostia.com/?p=232 PvM said:
“ID relies on the concept of analogy to infer design. Science does the hard work to provide mechanisms, pathways and provides analyses of the data to support their conclusions. That’s the big difference. How do we know an analogy really exists?”
This was precisely my point in my blogpost on identity and analogy in science (see http://evolutionlist.blogspot.com/2006/06/identity-analogy-and-logical-argument.html), and brings up a series of questions that are central to both evolutionary biology and intelligent design theory. Do we have any objective way to determine if one rock is analogous with another, for example? Or whether an anatomical feature (or a protein/substrate binding site) is analogous to another? As in the case of telology, we think we can do this very easily (just as we can easily identify what looks like design), but I would argue that this is because both “finding” analogies and “finding” design/purpose are capabilities of the human mind/nervous system that have conferred enormous adaptive value on our ancestors. As in the case of our putative innate “agency/design/purpose detector” (which first becomes active in very early infancy), our “analogy detector” also appears to become active at a very early age, and operates entirely “in the background.” That is to say, we are almost totally unaware of its operation, and concentrate only on its output.
Our ability to detect (and construct) analogies is probably the core of our “intelligence,” as demonstrated by the fact that identifying analogies has been traditionally used as one of the most sensitive guages of general intelligence (i.e. “g”) in intelligence tests (such as the Miller Analogies Test). As more than one participant in this thread has pointed out (Sal, I think you were first), doing mathematics is essentially the construction of highly compact analogies, in which numerical (and sometimes physical) relationships are expressed as abstract symbols.
Interestingly, in the case of some analogies in biological systems we have an independent double-check on our identification of analogous things. This is based on the evolutionary concept of homology, or derivation from a common ancestor. If two structures on two different organisms (say a small bone of the jaw of a reptile and the even smaller bone in the middle ear of a mammal) appear to be analogous (on the basis of size, location, relationship to other bones, etc.) there are at least two different, though related, methods of verifying that these structures are indeed analogous (and not just accidentally similar). One way is by means of comparative paleoanatomy, in which a series of fossils of known age are compared to determine if there is a connection between the evolutionary pathways of derivation of the structures. If such a pathway can be empirically shown to exist, this would be strong evidence for both the analogous and homologous nature of the objects. Alternatively one could compare the nucleotide sequences that code for the structures to determine if they are sufficiently similar to warrant a conclusion of homologous derivation. In both cases, evidence for homology, combined with our intuitive “identification” of analogous structure and/or function, both point to the same conclusion: that the two structures are both analogous and homologous.
BTW, this is why structures that appear to be analogous, but for which there is no convincing evidence of homology (as in the wings of birds and insects) can present a serious problem to evolutionary biologists, and especially systematists/taxonomists and those engaged in cladistic analysis. Such apparent similarities (technically called homoplasies) can either be the result of “true” (i.e. partial) analogy at the functional (and/or structural) level (and therefore assumed to be the result of convergent evolution) or they can be completely accidental. Simple inspection can be insufficient to separate these two hypotheses, and lacking either fossil or genomic evidence, conclusions about actual analogy can be extremely difficult to draw. However, if there is fossil and/or genomic evidence and it points away from homology (i.e. descent from a common ancestor), then the structures can be considered to be analogous but not homologous.
In the same comment, PvM also wrote:
“I also think that Sal is overusing the concept of analogy to mean almost anything.”
Indeed, it is essential in discussions such as these that we be as precise as possible about our definitions, as imprecision can only lead to confusion (at best) and unsupportable conclusions (at worst). Perhaps the most essential distinction to be made in this regard is between “anaologies of description” (which could also be called “semantic analogies”) and “analogies of function/structure” (which could also be called “natural analogies”). The former (i.e. “semantic analogies”) are merely artifacts of the structure of human cognition and language, as happens whenever we describe an analogy that we have perceived. By contrast, the latter (i.e. “natural analogies”) are the actual similarities in function/structure that we are describing (i.e. that resulted in our identification and description in the first place). As in the Zen koan about the roshi and the novice in the moonlit garden, much of the confusion about which of the two types of analogies we are discussing seems to stem from confusion between the moon that illuminates the garden and the finger pointing at the moon.
Greetings Allen,
I quoted Lewontin at the other weblog:
If I might give my ranking of the analogies in science with #1 being the strongest in terms of acceptance as “valid”:
1. Mathematics
2. Physics and Chemistry
3. Engineering
4. Biological Structure
5. Biological Function
6. historical hypotheses
#1 and #2 are so central to science they are adopted as articles of faith. Given analgous experimental conditions, we expect analogous experimental results.
#3 is defensible because we have access to the designers themselves (engineers). They can answer questions about analogies if we pose them, like “Is each car analogous to another? That’s what you had in mind, right?” And so, in that sense there is no ambiguity if the analogy was intended or not.
#4 is accepted practice, we see structural similarities and build hierarchical relationship where the most analogous creatures are grouped together. This was accpeted before and after Darwin.
#5 deals with something a bit more esoteric. For example we say creatures “see”, yet the same function is achieved with structurally different architecutres.
#6 finally we have analogies related to historical events. We try to project the present back into the past and hope we have a good picture. We hope we can extrapolate some analogies in the present back to the past….
EB and ID theories are most strongly at variance in #6.
D (design theories) deal mostly with structural similarities in objects described by #3 and #4. One could take 98% of Dembski’s Design Inference and apply it to purely structural analyses. That is, his work in that book can actually be used to measure the quality of structural analogies with no reference to intelligence. As I said, it’s consistent with the word “design” as when biologists used the word.
Dembski’s later work and I (intelligence theories) No Free Lunch dealt more with #6.
Behe’s work arguable dealt with #5 and #6. Irreducible Complexity deals with functional analogies.
At least that’s kind of my perception of things.
Comment by Salvador T. Cordova, IDEA GMU — August 3, 2006 @ 4:18 am
So remind me again Sal, how does ID explain analogies? How does ID explain the flagella? How does ID intend to strengthen its findings?
Now compare this with the hard work done by scientists who are finding homologies between Type III and the flagella?
Notice anything in particular?
Comment by PvM — August 3, 2006 @ 9:28 am
I am afraid that Alan’s post will confuse many readers, because:
(1) Stretching back to Darwin and Owen there is a tradition in biology of distinguishing biological “analogy” (e.g., the wings of hummingbirds and butterflies) from biological “homology” (e.g., the wings of birds and the flippers of penguins). Biological homology might be a philosophical analogy in some sense, but it is best to be ultra-clear about it.
(2) I think Alan overplays the problem that biological analogy/homoplasy causes for biologists. To pick his own example, no one is confused by similarities in the wings of birds and insects. And a vast number of other cases, including all of the impressive cases of convergence cited in textbooks, are quite clear.
In reality, the difficulties arise if a taxonomist is working with a group of relatively closely-related organisms. These organisms will already share many features due to common ancestry, and then the question becomes whether or not certain specific recently-evolved features — bumps on bones or something — are a shared ancestral feature, or evolved twice as sister species in similar environments made similar adaptations. This is a much different situation than convergence between dolphins and sharks, or some such.
Comment by matzke1 — August 3, 2006 @ 12:01 pm
Allen,
When you mentioned the phrase “paradox of purpose” it really caught my attention. We do see strong functional analogies, but these are very hard to quantify objectively.
A missile has a guidance system, but so does a monarch butterfly, at least in terms of functional analogy between human engineered systems and natural systems.
However, what is less subjective, and operationally useful are structural analogies between engineered systems and natural systems. Where the paradox of purpose is most evident are in these structural analogies. For example, the flagellar motor, looks structurally like a motor in the engineering sense:
Flagellum motor
Because of the structural similarities, we are inclined to think they exist for similar reasons (they have purpose). I think that’s where one line can be drawn. There is no requirement to say they are teleological because they look structurally like those things which are manufactured for a purpose. This demarcation of pure structure analysis is the bulk of CSI analysis. It is the “D” part of ID. For example, we can structurally demonstrate analogies between computers and cells, between communication and information systems and the genetic code, etc.
The “I” part of ID argues that analogy in complex structure implies analogy in mode of origin, namely intelligence. This of course is the area of extreme contention between EBers and IDers.
Salvador
Comment by Salvador T. Cordova, IDEA GMU — August 3, 2006 @ 3:19 pm
Allen
Per your encouragement towards precision in definition, may I encourage using Spalog, Sequelog and Ortholog (rather than Homolog etc. with its numerous problems.)
From www.ISCID.org/Encyclopedia/
Spalog
The term ’spalog’ (pronounced [spailog]) denotes a 3-D structure that is spatially similar, to a specified extent, to another 3-D structure. This term is strictly about spatial similarity and implies nothing about evolutionary relatedness and functional properties of structures.
Defined by Alexander Varshavsky
See also: homolog, ortholog, paralog, pseudoortholog, pseudoparalog, sequelog, xenolog
————–
Ortholog
An equivalent gene in different organisms, based on similarity of genetic sequence and the degree of correlation of conserved sequences. Functional genes in animals such as mice have been used to help find the similarly functional genes in humans – the human orthologs of the animal gene. The idea of conserved sequences generally relies on the assumption that organisms share a common genetic ancestry, but is equally well explained by the inference of common design.
Ortholog>
————-
Sequelog
The term ’sequelog’ denotes a nucleotide or amino acid sequence that is similar, to a specified extent, to another sequence. This term is strictly about sequential similarity and implies nothing about evolutionary relatedness and functional properties of sequences.
Defined by Alexander Varshavsky
Comment by David L. Hagen — August 3, 2006 @ 5:26 pm
David Hagen asserts: but is equally well explained by the inference of common design.
Of course, this could benefit from some actual data to show that the inference of common design explains the data equally well (or better?)
Since there is no design hypothesis, how can it explain the data better I wonder?
Explain how you calculated the following:
IDC: Common design
E: Evidence of ortologis
P(IDC|E)=P(E|IDC)*P(IDC)/P(E)
Looking forward to your calculations David. When can we expect them?
Comment by PvM — August 4, 2006 @ 1:47 pm
On Pandasthumb, in a posting called Rumors of pseudogenes’ demise greatly exaggerated, new study says, Andrea Bottaro shows how ID remains scientifically vacuous when it comes to pseudogenes.
May I inquire 1) how does ID explain pseudogenes? 2) has ID’s ‘predictions’ been falsified and what does this mean for ID?
Comment by PvM — August 5, 2006 @ 5:37 pm
If I might give my ranking of the analogies in science with #1 being the strongest in terms of acceptance as “valid”:
1. Mathematics
Sal,I like the way you think. If the numbers
don’t add up, somethin’s not right.
You’ll find lots of them that do at:
http://www.hereoisreal.com
more at:
http://www.bloglines.com/blog/hereoisreal
Zero
Comment by Zero — October 5, 2006 @ 12:48 am