Not much can be written after you watch the two videos above…
It is pretty easy to understand for those who choose to understand that the theory of abiogenesis and the probability of life spontaneously self-assembling is just a science-fiction story to fill the void for those who need to believe in something other than the obvious…
If the living cell can’t be reassembled in a lab, what evidence is there that life spontaneously self-assembled other than in science-fiction stories?
Now, let’s listen to the excuses…
This has long been an interest of mine. It dates back to the old talk.origins days, prompted by a Creationist taunt with familiar tone – “I’d like to see someone explain the evolution of sex …” (with the implicit “hurr, hurr”). I articulated some thoughts, then was rounded on by the ‘mainstream’ community. I got a flavour of the world through Creationist eyes – an equally familiar tone: some very sharply expressed contempt and an invitation to f*** off back to high school and learn meiosis.
During my research on consciousness I have come across more than a few of the so-called mysteries of evolution mainly uttered by Richard Dawkins who seems to have no problem at all that science has not been able to explain them in terms of evolutionary processes… (More of them in my upcoming posts).
What I’ve found really interesting was Dawkins’ public statements that Darwinian evolution and its main mechanism–natural selection–are non-random.
Really? Why didn’t he say so 40 years ago? Continue reading
… the authors establish that their mathematical analysis of search applies to models of evolution.
I have all sorts of fancy stuff to say about the new book by Marks, Dembski, and Ewert. But I wonder whether I should say anything fancy at all. There is a ginormous flaw in evolutionary informatics, quite easy to see when it’s pointed out to you. The authors develop mathematical analysis of apples, and then apply it to oranges. You need not know what apples and oranges are to see that the authors have got some explaining to do. When applying the analysis to an orange, they must identify their assumptions about apples, and show that the assumptions hold also for the orange. Otherwise the results are meaningless.
The authors have proved that there is “conservation of information” in search for a solution to a problem. I have simplified, generalized, and trivialized their results. I have also explained that their measure of “information” is actually a measure of performance. But I see now that the technical points really do not matter. What matters is that the authors have never identified, let alone justified, the assumptions of the math in their studies of evolutionary models.a They have measured “information” in models, and made a big deal of it because “information” is conserved in search for a solution to a problem. What does search for a solution to a problem have to do with modeling of evolution? Search me. In the absence of a demonstration that their “conservation of information” math applies to a model of evolution, their measurement of “information” means nothing. It especially does not mean that the evolutionary process in the model is intelligently designed by the modeler.1
The resident professional ‘philosopher’ of TSZ recently wrote this:
“’memes!’ is a dumb explanation.”
Yes, I agree! (Although that person doesn’t seem to know the difference between ‘memes’ and ‘memetics.’ – e.g. I don’t mind ‘memes’ used for popular shared internet links, but that’s not ‘memetics.’)
Well, given the weekend’s significance for a billion+, let’s ‘crucify’ memetics then. Why is ‘memetics’ a dumb explanation? And there’s no need to hold back with merely ‘dumb’. If one is an ideological ‘naturalist’, isn’t one forced into something like ‘memetics’ because they share the same materialist, naturalist, agnostic/atheist worldview as (chuckling at his own supposed lack of self-identity!) Daniel Dennett? Isn’t the built-in materialism of ‘memetics’ what made it so attractive to certain people and for the same reason obviously not attractive or believable to most others?
I wanted to bring to your attention a lovely profile piece on Dan Dennett, “Daniel Dennett’s Science of the Soul“. It’s nice to see a philosopher as respected and well-known as Dennett come alive as a human being.
I’d also like to remind those of you interested in this sort of thing that Dennett has a new book out, From Bacteria to Bach And Back: The Evolution of Minds. The central project is to do what creationists are always saying can’t be done: use the explanatory resources of evolutionary theory to understand why we have the kinds of minds that we do. There are decent reviews here and here, as well as one by Thomas Nagel in New York Review of Books that I regard as deliberately misleading (“Is Consciousness an Illusion?“).
[Note: The profile and/or the Nagel review may be behind paywalls.]
It has been widely advertised that nylon eating genes evolved after 1940. I have no problem with that claim in principle since new antibiotic and malaria resistances have evolved since 1940. Even though I can easily accept the possibility of post-1940 nylon-eating evolution in principle, where is the slam dunk evidence that this is actually the case? Did a significant portion of the ability for bacteria to digest nylon take place after 1940 (or 1935 when nylon was first created)?
Here, one of my brilliant MD PhD students and I study one of the “information” arguments against evolution. What do you think of our study?
I recently put this preprint in biorxiv. To be clear, this study is not yet peer-reviewed, and I do not want anyone to miss this point. This is an “experiment” too. I’m curious to see if these types of studies are publishable. If they are, you might see more from me. Currently it is under review at a very good journal. So it might actually turn the corner and get out there. An a parallel question: do you think this type of work should be published?
I’m curious what the community thinks. I hope it is clear enough for non-experts to follow too. We went to great lengths to make the source code for the simulations available in an easy to read and annotated format. My hope is that a college level student could follow the details. And even if you can’t, you can weigh in on if the scientific community should publish this type of work.
“Functional Information”—estimated from the mutual information of protein sequence alignments—has been proposed as a reliable way of estimating the number of proteins with a specified function and the consequent difficulty of evolving a new function. The fantastic rarity of functional proteins computed by this approach emboldens some to argue that evolution is impossible. Random searches, it seems, would have no hope of finding new functions. Here, we use simulations to demonstrate that sequence alignments are a poor estimate of functional information. The mutual information of sequence alignments fantastically underestimates of the true number of functional proteins. In addition to functional constraints, mutual information is also strongly influenced by a family’s history, mutational bias, and selection. Regardless, even if functional information could be reliably calculated, it tells us nothing about the difficulty of evolving new functions, because it does not estimate the distance between a new function and existing functions. Moreover, the pervasive observation of multifunctional proteins suggests that functions are actually very close to one another and abundant. Multifunctional proteins would be impossible if the FI argument against evolution were true.
For anyone interested in whether RMNS can create stuff, I recommend a relatively new book, Arrival of the Fittest. I just bought the Kindle version an haven’t finished, but it has a lot to say about how goldilocks mutations occur.
Much later Mung writes:
Reminds me of petrushka, who is always plugging Andreas Wagner’s Arrival of the Fittest, but will never post an OP on it for discussion.
So I’ve taken the hint and bought the book at last. I can see why people have recommended it. Continue reading