Tag Archives: Intelligent Design

Stephen Meyer debates Peter Ward on intelligent design vs Darwinism

The speakers

Stephen C. Meyer is director of the Discovery Institute’s Center for Science and Culture (CSC) and a founder both of the intelligent design movement and of the CSC, intelligent design’s primary intellectual and scientific headquarters. Dr. Meyer is a Cambridge University-trained philosopher of science, the author of peer-reviewed publications in technical, scientific, philosophical and other books and journals. His signal contribution to ID theory is given most fully in Signature in the Cell: DNA and the Evidence for Intelligent Design, published by HarperOne in June 2009.

Graduating from Whitworth College in Spokane, Washington, in 1981 with a degree in physics and earth science, he later became a geophysicist with Atlantic Richfield Company (ARCO) in Dallas, Texas. From 1981 to 1985, he worked for ARCO in digital signal processing and seismic survey interpretation. As a Rotary International Scholar, he received his training in the history and philosophy of science at Cambridge University, earning a PhD in 1991. His thesis offered a methodological interpretation of origin-of-life research.

Peter D. Ward, Ph.D., is a paleontologist and professor in the Departments of Geology and Biology at the University of Washington in Seattle. He also serves as an adjunct professor of zoology and astronomy. His research specialties include the Cretaceous–Tertiary extinction event and mass extinctions generally. His books include the best-selling “Rare Earth: Why Complex Life Is Uncommon in the Universe” (co-author Donald Brownlee, 2000), “Under a Green Sky: Global Warming, the Mass Extinctions of the Past, and What They Can Tell Us About Our Future” (2007), and “The Medea Hypothesis: Is Life on Earth Ultimately Self-Destructive?” (2009).

The debate

Here’s the video of the debate:

The debate itself starts at around 8:19, after all the moderators have spoken.

There is a review of this debate here on Evolution News, and I include a snip to encourage you to watch it:

Last night, the Seattle Times Talk of the Times at Town Hall Seattle featured a debate over evolution and intelligent design between CSC Director Stephen Meyer and US paleontologist Peter Ward. The event was sold out with 800+ in attendance for what turned out to be a really good debate.

[…]The debate last night was almost ALL about science–from gene sequencing, to nanotechnology, to the Cambrian explosion, to the philosophy of science that decides how to define the terms in the first place. Both scientists are experts in their fields and the audience was eager to hear what they had to say. No matter how much Darwinists claim there is no debate, and that intelligent design somehow kills curiousity, you can’t argue with hundreds of people showing up to eagerly hear what both sides have to say about the issue. Clearly they were curious about the debate that doesn’t exist.

That article also includes a blow-by-blow summary by a person sympathetic to ID who attended the debate. This is probably the best debate on intelligent design out there, and it was only recently uploaded to Youtube in September last year. When I watch a great debate like this, it really makes me hope that we who do believe that life is designed are raising up the next generation of scientists who ask questions, and don’t assume this philosophical assumption of naturalism. Do the science first. Don’t assume anything religious. Don’t let the religion of naturalism determine what science can and cannot discover. That’s the burden of our side, anyway.

And now a surprise! There is actually a transcript of this debate that I found on the Discovery Institute web site. Isn’t it amazing that intelligent design has been out there for such a long time, yet almost no one can define it, and no one has ever seen a debate where both sides come out to debate it. You can download the audio here, but it’s 90 Mb.

Even though Peter Ward is an atheist, he has co-written a fabulous book that I own and have read called “Rare Earth: Why Complex Life is Uncommon in the Universe“. I really recommend getting this book, as it is a great book by two non-theists on the habitability argument. It’s sort of a secular precursor to Jay Richards’ and Guillermo Gonzalez’s “The Privileged Planet: How Our Place in the Cosmos is Designed for Discovery“. The habitability argument is a really neglected argument, but it’s a good one.

Target acquisition and interception in dragonflies

Here is a fascinating post about some of the capabilities of dragonflies from Evolution News.

Selective attention

First, dragonflies have “selective attention” – the ability to focus on a single prey and ignore other distractions:

Dragonflies are among the best flyers in the insect world. Their twin pairs of paper-thin wings allow them to hover and move in all directions, even in mating. When the time comes to dart after prey at high speed, they rarely miss.

What’s their secret? One is “selective attention” — a trait previously known only in primates, according to new research from the University of Adelaide, Australia. Selective attention is the ability to focus on one object and exclude others. Just as a tennis player must focus on the ball and ignore the cheers of the crowd, a dragonfly must pick out one target from a swarm of insects and avoid being distracted by all the others.

Here’s a snip from the research paper:

Our data make a compelling case that CSTMD1 reflects competitive selection of one target. We emphasize “competitive,” because the attended target is not always the same between trials or even within a trial, as seen in strikingly perfect switches from one to the other…. Competition is further suggested by rare examples where the activity observed under Pair stimulation initially lags both T1and T2 responses… suggesting initial conflict in the underlying neural network before resolution of competition by a “winning” target.

We previously showed that CSTMD1 still responds robustly to a target even when it is embedded within a high-contrast natural scene containing numerous potential distracters. Taken together with recent evidence that the behavioral state of insects strongly modulates responses of neurons involved in visuomotor control, our new data thus suggest a hitherto unexpected sophistication in higher-order control of insect visual processing, akin to selective attention in primates.Perhaps the most remarkable feature of our data is that once the response “locks” onto a target (or following a switch), the second target exerts no influence on the neuron’s response: the distracter is ignored completely.

In order to succeed at the task of catching its prey, the dragonfly has to tune out all other distractions.

Target selection

In addition, dragonflies have the ability to intercept a target in mid-air – similar missile defense systems on AEGIS cruisers and destroyers.

The Evolution News article explains:

Another paper on dragonflies shows that these marvels of the insect world are equipped with navigational equipment that can do vector calculus. In the Proceedings of the National Academy of Sciences, Gonzalez-Bellido and a team at the Howard Hughes Medical Institute discerned “Eight pairs of descending visual neurons in the dragonfly [that] give wing motor centers accurate population vector of prey direction.

Intercepting a moving object requires prediction of its future location. This complex task has been solved by dragonflies, who intercept their prey in midair with a 95% success rate. In this study, we show that a group of 16 neurons, called target-selective descending neurons (TSDNs), code a population vector that reflects the direction of the target with high accuracy and reliability across 360°. The TSDN spatial (receptive field) and temporal (latency) properties matched the area of the retina where the prey is focused and the reaction time, respectively, during predatory flights. The directional tuning curves and morphological traits (3D tracings) for each TSDN type were consistent among animals, but spike rates were not. Our results emphasize that a successful neural circuit for target tracking and interception can be achieved with few neurons and that in dragonflies this information is relayed from the brain to the wing motor centers in population vector form.

What did I make of this? Well, evidence like this always causes me to think aboutthe reality of God, and the disturbing thought that we do not live in an accidental universe where I can do whatever I want and be accountable to no one. It’s easier to believe that – it requires less work and it frees us to be our own boss and make our happiness the first priority. As individuals, it’s very tempting for us to think that we are number one, and to resent our obligations to anyone else. The problem is that the scientific data doesn’t support that worldview. The facts are what they are and it is up to us, now, to try to find out who the designer is and what he wants from us.

Can Darwinian evolution create new functional biological information?

Here’s a great article from Evolution News that explains the trouble that Darwinian evolution has in building up to functional new biological information by using a process of random mutation and natural selection.

Casey Luskin takes a look at a peer-reviewed paper that claims that Darwinian evolution can do the job of creating new information, then he explains what’s wrong with the paper.

Excerpt:

In Wilf and Ewens’s evolutionary scheme there is a smooth fitness function. Under this view, there is no epistasis, where one mutation can effectively interact with another to affect (whether positively or negatively) fitness. As a result, any mutations that move the search toward its “target” are assumed to provide an immediate and irrevocable advantage, and are thus highly likely to become fixed. Ewert et al. compare the model to playing Wheel of Fortune:

The evolutionary model that Wilf and Ewens have chosen is similar to the problem of guessing letters in a word or phrase, as on the television game show Wheel of Fortune. They specify a phrase 20,000 letters long, with each letter in the phrase corresponding to a gene locus that can be transformed from its initial “primitive” state to a more advanced state. Finding the correct letter for a particular position in the target phrase roughly corresponds to finding a beneficial mutation in the corresponding gene. During each round of mutation all positions in the phrase are subject to mutation, and the results are selected based on whether the individual positions match the final target phrase. Those that match are preserved for the next round. … After each round, all “advanced” alleles in the population are treated as fixed, and therefore preserved in the next round. Evolution to the fully “advanced” state is complete when all 20,000 positions match the target phrase.

The problem with this approach is that a string of biological information that has only some letters that are part of a useful sequence has no present function, and therefore cannot survive and reproduce.

Look:

Thus, Wilf and Ewens ignore the problem of non-functional intermediates. They assume that all intermediate stages will be functional, or lead to some functional advantage. But is this how all fitness functions look? Not necessarily. It’s well known that in many instances, no benefit is derived until multiple mutations are present all at once. In such a case, there’s no evolutionary advantage until multiple mutations are present. The “correct” mutations might occur in parallel, but the odds of this happening are extremely low. Ewert et al. illustrate this problem in the model by using the example of the difficulty of one phrase evolving into another:

Suppose it would be beneficial for the phrase

“all_the_world_is_a_stage___”

to evolve into the phrase

“methinks_it_is_like_a_weasel.”

What phrase do we get if we simply alternate letters from the two phrases?

“mlt_ihk__otli__siaesaaw_a_e_.”

Under the assumptions in the Wilf and Ewens model, the “fitness” of this nonsense phrase ought to be exactly half-way between the fitnesses of “all the world is a stage” and “methinks it is like a weasel.” Such a result only makes sense if we are measuring the fitness of the current phrase by its proximity to the target phrase.

But the gibberish of the intermediate phrase doesn’t cause any problem under Wilf and Ewens’s model. Not unlikeRichard Dawkins, they assume that intermediate stages will always yield some functional advantage. And as more and more characters in the phrase match the target, it becomes more and more fit. This yields a nice, smooth fitness function — rich in active information — not truly a blind search.

Not only is there that first problem, but here’s a second:

Wilf and Ewens endowed their mathematical model of evolution with foresight. It is directed toward a target — an advantage that natural selection conspicuously lacks. And what, in our experience, is the only known cause that is goal-directed and has foresight? It’s intelligence. This means that once again, the Evolutionary Informatics Lab has shown that simulations of evolution seem to work only because they’ve been intelligently designed.

This is worth the read. If Darwinian mechanisms really could generate code, then there would be no software engineers. The truth is, the mechanisms don’t work to create new information. For that, you need an intelligent designer.