Theme: Measurement

  • My argument stands. Sentence density, length, proxy for IQ, verbal ability, educ

    My argument stands. Sentence density, length, proxy for IQ, verbal ability, education. See Flesch Kincaid. Neurologically refers to working memory preservation of continuous recursive disambiguation. Dumbing down of literacy to newspaper sixth great comprehension was a response to world war challenge of educating conscripts. Dumbing down of education a response to causes I won’t mention. I don’t participate in such devolution. Just because few people like me participate in public discourse given the frustration of it means only that we have largely eschewed the public as have most natural elites leaving you with credentialists and populists who find satisfaction in manipulating you.

    Not to dismiss your attempted intellectual honesty or the significant achievement of one of the more valuable degrees, but you are reaching outside your domains of competency when debating me … if debate can suffice for a label.

    Reply addressees: @elric9992000 @FromKulak


    Source date (UTC): 2023-09-10 04:57:44 UTC

    Original post: https://twitter.com/i/web/status/1700735282457260032

    Replying to: https://twitter.com/i/web/status/1700718242216423844

  • You’re just unfamiliar with the terms he’s using, because he’s pulling from mult

    You’re just unfamiliar with the terms he’s using, because he’s pulling from multiple disciplines.

    Physicists aren’t trying to model the real world because the real world is discrete not continuous.. If they were they’d use a model and then explain it with mathematics. And they are almost always unaware of the limits of mathematics in description of continuous relations, when necessity demands discretness and operations. IN other words, the universe is consistent at all scalse with liquid being the only frame of refernce humans can visualize across scales. In this case the quantum background operates analogous to a liquid (‘aether’), and consists of discrete elements (fluctuations accumulating in dipoles), and those dipoles consist of discret elements (whatever phenomena produces the analogy to vibrating strings) of which we have a fairly good range of models. Within these models we can theorize constructions (operations) rather than continuities(regularities). By using math we limit the information we have to work with other than randomness -which is what we’ve seen from the physics community for fifty years.

    Reply addressees: @RoseAndGarden @Plinz


    Source date (UTC): 2023-09-07 16:04:59 UTC

    Original post: https://twitter.com/i/web/status/1699816039582720000

    Replying to: https://twitter.com/i/web/status/1699807388801343716

  • Math(measures,continuous), logic(sets,language), reasoning(operations, discrete)

    Math(measures,continuous), logic(sets,language), reasoning(operations, discrete)


    Source date (UTC): 2023-09-07 12:09:41 UTC

    Original post: https://twitter.com/i/web/status/1699756824012996653

    Reply addressees: @JohannNetram

    Replying to: https://twitter.com/i/web/status/1699695788723433944

  • The data you can’t capture. 😉

    The data you can’t capture. 😉


    Source date (UTC): 2023-09-07 00:59:28 UTC

    Original post: https://twitter.com/i/web/status/1699588159447712051

    Reply addressees: @Yampeleg

    Replying to: https://twitter.com/i/web/status/1699584894840557592

  • Jason, Disagree partly. Yes they are working within a euclidian space (and the i

    Jason,

    Disagree partly.

    Yes they are working within a euclidian space (and the is a reason for that beyond the scope of a few tweets), but mathematics must always reduce a model. If we look at where physics has ‘gone wrong’ it’s precisely (beginning not only with Einstein-Bohr but with Cantor as well) that they are using math as a model, rather than a model which they attempt to reduce to a mathematical expression.

    Einstein used pictures as analogies and platonized time and space. Borh said ‘just calculate’, because he couldn’t conceive of a *discrete* operational model to generalize into a “continuous* mathematical model.

    Brower and Bridgman, less so Hilbert, and others tried to repair the ‘re-mystification’ of physics. Or what Hayek called the ‘new mysticism’.

    Joscha Bach (@Plinz ) , as a good German (Continental), tends to mix models and metaphors in order to continue the german tradition of unifying experience and causality, when he communicates his thoughts.

    But if you get past that ‘literary license’ the degree to which JB is insightful and correct is profound – and IMO he is also, as a good German, too humble and dutiful to assert those ideas with the same conviction as the quality of those ideas merits.

    Reply addressees: @TheRealVerbz @Plinz


    Source date (UTC): 2023-09-06 19:52:09 UTC

    Original post: https://twitter.com/i/web/status/1699510821246713856

    Replying to: https://twitter.com/i/web/status/1699425998272434428

  • Basic linguistics of mathematics: a quantity, expressed as a glyph, representing

    Basic linguistics of mathematics: a quantity, expressed as a glyph, representing a positional name, in positional grammar, describes a ratio of an identity, generalized to a category, each element of which is marginally indifferent, in the context measured, and therefore statistical and approximate, and we refer to the name of this function as a number.


    Source date (UTC): 2023-09-06 00:29:04 UTC

    Original post: https://twitter.com/i/web/status/1699218120366342144

  • And of course, you use yourself as a measure of what you cannot comprehend. 😉 T

    And of course, you use yourself as a measure of what you cannot comprehend. 😉 The irony is … well, somewhere between humorous and depressing. 😉


    Source date (UTC): 2023-09-05 17:20:51 UTC

    Original post: https://twitter.com/i/web/status/1699110355719360883

    Reply addressees: @EddyRobinson @scrumble_eggs @bortisbased @lauferlaw @elonmusk @alx

    Replying to: https://twitter.com/i/web/status/1699109506092060873

  • See, the method looks like language, but it’s really math. 😉 Or rather we can a

    See, the method looks like language, but it’s really math. 😉 Or rather we can also write math as language rather than symbols. But We are generalizing a universally commensurable logic from economics instead of math or physics, so our work is better expressed in supply-demand language and diagrams than in mathematics – in no small part because it’s more accessible.

    –“Cooperation consists of an interaction between two organizations(identities) that satisfies an internal disequilibrium (potential), creating a more stable set of relations (work) or more capital (energy, mass), producing a new equilibrium with a new partial disequilibrium with new potential for additional recombination producing additional work or capital, and thereby continuing persistent evolutionary computation. (+),(-),(=)”–


    Source date (UTC): 2023-09-04 15:03:37 UTC

    Original post: https://twitter.com/i/web/status/1698713434014056448

  • Will do. During our discussion we concluded that the methodology on this topic r

    Will do.
    During our discussion we concluded that the methodology on this topic requires a video.
    Unfortunately, one of my ‘quirks’ is that what I presume is obvious is often not. So, while I’ve frequently written about and made a video of the linguistic side of the method (measurements), the ethics, and some of the first principles, I haven’t done the same with the ternary logic (science) side of the method.
    That’s despite that while we have all the rules and the triangles (diagrams) I haven’t explained how to apply them systematically to problems.
    Most of our team just learns to do the work by discourse. But that’s not good enough for most people.
    So it’s time to ‘upgrade’. 😉

    Thanks for asking.
    BTW: Love your work. Watch every day. Thanks for investing your time in becoming a rational voice free of the drama and hype. I’m sure your audience will build over time. I’ll help when I can. -CD
    PS: Might be fun to interview you someday soon.
    -Cheers

    Reply addressees: @VelenskiMeir


    Source date (UTC): 2023-09-03 05:31:48 UTC

    Original post: https://twitter.com/i/web/status/1698207142161874944

    Replying to: https://twitter.com/i/web/status/1698204837995803083

  • WHY DOES THE INSTITUTE CARE ABOUT CATEGORY THEORY IN MATHEMATICS? Because it’s t

    WHY DOES THE INSTITUTE CARE ABOUT CATEGORY THEORY IN MATHEMATICS?
    Because it’s the closest to a data representation of the neural relations in language. That said if we wrote in math or even symbols we’d find fewer followers than we do with operational language. 😉

    Via Michael:
    Category theory was created in the 1950s to half-resolve the problems of set theory (axiom of choice, axiom of infninity) early on in 20th century. (CD: see my work on intuitionism and operationalism)
    For Mathematics
    https://t.co/CgDTImh50e
    For Programmers
    https://t.co/Tv1pRl5VDM

    The core insight of category theory is that most math structures “are the same in some way” (CD: There exists a pattern of consistent relations between them.)

    If you have these FOUR structures, you’re a Category
    1. Every category starts as a SET
    2. Then that SET gets MORPHISMS
    (state transitions, references, maps; not quite “operations” because many math state transitions are maps not operations) (CD: unlike applied mathematics, pure mathematics can drop the time and sequence dimensions and transform instantly, so both dimensions are irrelevant.)
    3. There must be an IDENTITY operation (a return to self map) (CD: reversibility. no information loss.)
    4. Maps must COMPOSE. (The formal terminology is that the associative law holds) (CD: in our work composability refers to fitness within the grammatical rules of disambiguation.)

    Examples:
    – Sets are categories, trivial ones
    – Groups
    – Rings
    – Topological spaces
    – Vector spaces (the objects are basis vectors, the morphisms are matrices that change basis)

    What results when you climb to the top of category mountain?

    You start with large chalkboards full of dots and arrows between them. (Directed graphs, or “Quills”).

    The graphs (their vertices as objects, and arrows as maps) form higher dimensional shapes (triangles, squares, pentagons, “associahedrons”). (cd: I love the term “associahedrons” because this is what operational LANGUAGE produces. And this is why I originally started the foundations course with geometry before I realized it was too complex for the students.)

    When you take a FUNCTOR (which maps one entire Category to another Category), you’re now drawing NEW arrows, one for each functorial pair. (CD:A set of transformations)

    What happens is that if you follow these lines, the higher dimensional subshapes you found earlier MAY be preserved in some form as well.

    So if a square structure the original category becomes a triangle in the new category: well, that means something. (Means we lost structure when applying the functor. The functor is called “forgetful”). So category B is the same as A, minus a few structures that B has

    As such…
    You get to compare environments (categories) in which to “do math”.


    Source date (UTC): 2023-09-01 17:28:51 UTC

    Original post: https://twitter.com/i/web/status/1697662817367670784