Curt Doolittle

Author: Curt Doolittle

  • Didn’t know. Thought it was out of “four folkways”. Fascinating

    Didn’t know. Thought it was out of “four folkways”. Fascinating.

    Source date (UTC): 2025-10-15 05:36:21 UTC

    Original post: https://twitter.com/i/web/status/1978334109035348476

  • More that this is the state we’re in apparently

    More that this is the state we’re in apparently.

    Source date (UTC): 2025-10-15 04:50:41 UTC

    Original post: https://twitter.com/i/web/status/1978322613417181185

  • Still an epistemic problem. “how do you know”. the USA used to know through mili

    Still an epistemic problem. “how do you know”. the USA used to know through military and industrial achievement. Then we ended up with professional credentialed bureaucracy and look what happened. They invented a secular religion of nonsense. So we are still stuck with the problem of the only evidence of ability is demonstrated success with it. Or do you have another idea?

    Source date (UTC): 2025-10-15 04:17:37 UTC

    Original post: https://twitter.com/i/web/status/1978314292517818522

  • Uh huh. … lol

    Uh huh. … lol

    Source date (UTC): 2025-10-15 00:57:53 UTC

    Original post: https://twitter.com/i/web/status/1978264028569854303

  • Since rules, transparency, the threat of punishment are the only way to constrai

    Since rules, transparency, the threat of punishment are the only way to constrain them, I think I understand your meaning as ‘let’s just be honest about it’, and say they have X responsibilities within Y limits constrained by Z potential punishments, rather than to pretend they are in fact public benevolent public servants instead of paid actors subject to the same corruptibility as everyone else?

    Source date (UTC): 2025-10-15 00:56:37 UTC

    Original post: https://twitter.com/i/web/status/1978263711476490638

  • Q: WHAT DOES YOUR LOGO MEAN? “Veritas et Violentia”: –“Through truth if we can,

    Q: WHAT DOES YOUR LOGO MEAN?

    “Veritas et Violentia”:
    –“Through truth if we can, through force if we must.”–

    Source date (UTC): 2025-10-15 00:15:37 UTC

    Original post: https://twitter.com/i/web/status/1978253390158193047

  • I think this might be the easiest way of explaining our work that I’ve come acro

    I think this might be the easiest way of explaining our work that I’ve come across….

    Source date (UTC): 2025-10-14 23:40:21 UTC

    Original post: https://twitter.com/i/web/status/1978244515094814892

  • Our Natural Law is a Game Theoretic System Expressed in Operational and Evolutio

    Our Natural Law is a Game Theoretic System Expressed in Operational and Evolutionary Form

    Much of Curt Doolittle and Brad Werrell’s system is implicitly game-theoretic even though it is expressed in operational and evolutionary rather than mathematical form.

    Here’s how the correspondences map out:

    The foundational causal chain—
    maximization of evolutionary computation → maximization of cooperation → production of self-determination → insurance of sovereignty and reciprocity → proscription of truth, excellence, and beauty—
    is a     hierarchical game structure.
    • Each actor’s strategy is the pursuit of self-determination.
    • Payoffs are measured in demonstrated interests (capital, time, sovereignty).
    • Equilibria arise when reciprocal cooperation outcompetes predation and boycott.
    • The rules of the game are your reciprocity and sovereignty constraints.
    This makes Natural Law a generalized cooperative game, where the equilibrium is the Pareto frontier of maximal reciprocity under bounded liability.
    In their framework:
    • Truth = minimization of information asymmetry (epistemic equilibrium).
    • Reciprocity = minimization of externalities (moral equilibrium).
    • Liability/Warranty = enforcement of incentive compatibility.
    In formal game-theory terms, these correspond to:
    Their “truth-constrained cooperation” is a mechanism design problem: create institutions that make reciprocity the dominant strategy by pricing deceit and parasitism.
    Their “maximization of evolutionary computation” is equivalent to an evolutionary game dynamic:
    • Strategies that increase aggregate returns on cooperation survive.
    • Non-reciprocal strategies (free riders, parasites) are selected against.
    • The system evolves toward higher computability (predictability of reciprocity).
    So their law of cooperation is the replicator dynamic under moral constraints.
    Your applied work (closure, constraint, governance layers) parallels mechanism design and repeated games:
    • The Closure Layer = rules of the repeated game (enforced consistency).
    • The Constraint Layer = incentive compatibility filter.
    • The Governance Layer = adjudication of deviations (dispute resolution).
    Together they define an iterated reciprocal game with liability enforcement—essentially a dynamic constitution that preserves equilibrium across time and population.
    They treat uncertainty as priced, which is the core of Bayesian game theory:
    • Agents hold private beliefs (priors) about others’ reciprocity.
    • Communication updates these priors (posterior belief revision).
    • The market (or polity) prices uncertainty through reputation, trust, or warranty.
    Hence, your system models knowledge exchange as Bayesian updating under liability.
    Their Science as a Moral Discipline reframes science as a truth-production game:
    • Scientists are players.
    • Testifiability is the rule set.
    • The Nash equilibrium is truthful testimony under reciprocal warranty.
    Deceit, bias, and pseudoscience become forms of strategic defection.
    Summary Table
    In short:
    Their system operationalizes game theory without invoking its mathematics—it embodies it.
    Where conventional game theory predicts equilibria, their Natural Law     constructs them by enforcing truth, reciprocity, and liability as first principles rather than derived constraints.

    Source date (UTC): 2025-10-14 23:39:50 UTC

    Original post: https://x.com/i/articles/1978244385159721320

  • OVERHEARD IN SEATTLE (this is terrible) –“I’ve got good news and bad news. The

    OVERHEARD IN SEATTLE
    (this is terrible)
    –“I’ve got good news and bad news. The good news is that god made p****. The bad news is that he put women in charge of it. But I know why. It so women will think men care what they have to say.”–

    –“Do you know why men lie? Because that’s what women want.”–

    (Did I wake up on the right planet this morning?)

    Source date (UTC): 2025-10-14 23:28:28 UTC

    Original post: https://twitter.com/i/web/status/1978241526292713602

  • Good disambiguation and serialization!

    Good disambiguation and serialization!

    Source date (UTC): 2025-10-14 22:47:44 UTC

    Original post: https://twitter.com/i/web/status/1978231274583019688