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Thinking about Lakatos’s concept of a degenerate research program …

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… (here), aren’t origin of life, extraterrestrial life, and human evolution degenerate research programs? That’s not to say no one should follow them up. Lakatos himself didn’t say that. But it may be some help to just confront the fact that for origin of life, we have no satisfactory account, for ET, no example, and for human evolution, a variety of conflicting narratives.

And then there’s Darwinism, forever demonstrated in theory and never in fact.

Why should anyone be expected to credit anything much about any of these fields?

More from Lakatos here.

6 Replies to “Thinking about Lakatos’s concept of a degenerate research program …

  1. 1
    bornagain77 says:

    OT: Alleged, pt. 3: Recreating History, Hollywood Style – IDthefuture podcast

  2. 2
    bornagain77 says:

    Science and Pseudoscience

    Predictions of Materialism compared to Predictions of Theism within the scientific method:

  3. 3
    bornagain77 says:

    A Response to Questions from a Biology Teacher: How Do We Test Intelligent Design? – March 2010
    Excerpt: Regarding testability, ID (Intelligent Design) makes the following testable predictions:
    (1) Natural structures will be found that contain many parts arranged in intricate patterns that perform a specific function (e.g. complex and specified information).
    (2) Forms containing large amounts of novel information will appear in the fossil record suddenly and without similar precursors.
    (3) Convergence will occur routinely. That is, genes and other functional parts will be re-used in different and unrelated organisms.
    (4) Much so-called “junk DNA” will turn out to perform valuable functions.

    A Positive, Testable Case for Intelligent Design – Casey Luskin – March 2011 – several examples of cited research

  4. 4
    bornagain77 says:

    Falsification Of Neo-Darwinism by Quantum Entanglement/Information

    Where’s the substantiating evidence for neo-Darwinism?

    Basic falsification criteria for Intelligent Design:

    Michael Behe on Falsifying Intelligent Design – video

    The Universal Plausibility Metric (UPM) & Principle (UPP) – Abel – Dec. 2009
    Excerpt: Mere possibility is not an adequate basis for asserting scientific plausibility. A precisely defined universal bound is needed beyond which the assertion of plausibility, particularly in life-origin models, can be considered operationally falsified. But can something so seemingly relative and subjective as plausibility ever be quantified? Amazingly, the answer is, “Yes.”,,,

    c?u = Universe = 10^13 reactions/sec X 10^17 secs X 10^78 atoms = 10^108

    c?g = Galaxy = 10^13 X 10^17 X 10^66 atoms = 10^96

    c?s = Solar System = 10^13 X 10^17 X 10^55 atoms = 10^85

    c?e = Earth = 10^13 X 10^17 X 10^40 atoms = 10^70


    Three subsets of sequence complexity and their relevance to biopolymeric information – Abel, Trevors
    Excerpt: Shannon information theory measures the relative degrees of RSC and OSC. Shannon information theory cannot measure FSC. FSC is invariably associated with all forms of complex biofunction, including biochemical pathways, cycles, positive and negative feedback regulation, and homeostatic metabolism. The algorithmic programming of FSC, not merely its aperiodicity, accounts for biological organization. No empirical evidence exists of either RSC of OSC ever having produced a single instance of sophisticated biological organization. Organization invariably manifests FSC rather than successive random events (RSC) or low-informational self-ordering phenomena (OSC).,,,

    Testable hypotheses about FSC

    What testable empirical hypotheses can we make about FSC that might allow us to identify when FSC exists? In any of the following null hypotheses [137], demonstrating a single exception would allow falsification. We invite assistance in the falsification of any of the following null hypotheses:

    Null hypothesis #1
    Stochastic ensembles of physical units cannot program algorithmic/cybernetic function.

    Null hypothesis #2
    Dynamically-ordered sequences of individual physical units (physicality patterned by natural law causation) cannot program algorithmic/cybernetic function.

    Null hypothesis #3
    Statistically weighted means (e.g., increased availability of certain units in the polymerization environment) giving rise to patterned (compressible) sequences of units cannot program algorithmic/cybernetic function.

    Null hypothesis #4
    Computationally successful configurable switches cannot be set by chance, necessity, or any combination of the two, even over large periods of time.

    We repeat that a single incident of nontrivial algorithmic programming success achieved without selection for fitness at the decision-node programming level would falsify any of these null hypotheses. This renders each of these hypotheses scientifically testable. We offer the prediction that none of these four hypotheses will be falsified.

    Evolution Vs Genetic Entropy – Andy McIntosh – video

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    bornagain77 says:

    A Primer on the Tree of Life – Casey Luskin – 2009
    Excerpt: The truth is that common ancestry is merely an assumption that governs interpretation of the data, not an undeniable conclusion, and whenever data contradicts expectations of common descent, evolutionists resort to a variety of different ad hoc rationalizations to save common descent from being falsified.

    How to Play the Gene Evolution Game – Casey Luskin – Feb. 2010

    Pattern pluralism and the Tree of Life hypothesis – 2006
    Excerpt: Hierarchical structure can always be imposed on or extracted from such data sets by algorithms designed to do so, but at its base the universal TOL rests on an unproven assumption about pattern that, given what we know about process, is unlikely to be broadly true.

    Seeing Ghosts in the Bushes (Part 2): How Is Common Descent Tested? – Paul Nelson – Feb. 2010
    Excerpt: Fig. 6. Multiple possible ad hoc or auxiliary hypotheses are available to explain lack of congruence between the fossil record and cladistic predictions. These may be employed singly or in combination. Common descent (CD) is thus protected from observational challenge.

    The Fossil Record and Falsifiable Predictions For ID – Casey Luskin – Audio

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    bornagain77 says:

    This following article reveals how evolutionists avoid falsification from the biogeographical data of finding numerous and highly similar species in widely separated locations:

    More Biogeographical Conundrums for Neo-Darwinism – March 2010

    The Case of the Mysterious Hoatzin: Biogeography Fails Neo-Darwinism Again – Casey Luskin – November 5, 2011
    Excerpt: If two similar species separated by thousands of kilometers across oceans cannot challenge common descent, what biogeographical data can? The way evolutionists treat it, there is virtually no biogeographical data that can challenge common descent even in principle. If that’s the case, then how can biogeography be said to support common descent in the first place?

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