Curt Doolittle

Theme: Truth

  • A COMPARISON OF VOLUMES 1–4 OF NATURAL LAW Vol 1: The Crisis of the Age Purpose:

    A COMPARISON OF VOLUMES 1–4 OF NATURAL LAW

    Vol 1: The Crisis of the Age
    Purpose: Diagnoses the epistemic collapse of truth, trust, and cooperation.
    Method: Historical, economic, moral analysis.
    Output: Justifies the need for a universal system of decidability.

    Vol 2: A System of Measurement
    Purpose: Builds the grammar, logic & operational method to make all claims measurable.
    Method: Operationalism, ternary logic, adversarial falsification.
    Output: Infrastructure to test truth & reciprocity across domains.

    Vol 3: Logic, Science, and Method
    Purpose: Formalizes evolutionary computation as the engine of all causality—physical to social.
    Method: First principles → serialization →operationalization. →
    Output: Axiomatic engine for constructing decidable systems.

    Vol 4: The Law (Constitution)
    Purpose: Applies Vols 1–3 to reform law, rights, and governance into computable, truthful systems. →
    Method: Legal/constitutional redesign under Natural Law.
    Output: Institutions that enforce truth, reciprocity, and decidability.

    Causal Chain Between the Volumes

    Vol 1 → Vol 2
    Diagnoses the problem → requires a system of measurement to resolve ambiguity.

    Vol 2 → Vol 3
    Defines measurement and decidability → derives the logic that governs the system being measured.

    Vol 3 → Vol 4
    Provides the logic and causal framework → applies it to formal law, rights, government, and institutions.

    System Architecture Analogy

    If we treat the Natural Law series like a computational or operating system:

    Vol 1 = Problem Definition and Requirements Specification

    Vol 2 = Formal Language and Measurement Infrastructure

    Vol 3 = Logic Engine / Operating System Kernel

    Vol 4 = User Interface and Application Layer (Governance Implementation)

    Functional Roles

    Epistemology

    Volume 1: Exposes the failure of current epistemic regimes (philosophy, science, law) and their inability to produce decidable truth.

    Volume 2: Introduces a system of operational measurement to disambiguate all claims and support decidability.

    Volume 3: Derives truth and knowledge from evolutionary computation, establishing a fully constructible epistemology.

    Volume 4: Applies these epistemic standards to legal judgment, ensuring that law itself becomes epistemically decidable.

    Ethics / Morality

    Volume 1: Frames moral failure as a systemic collapse of reciprocal constraints.

    Volume 2: Defines morality as testable reciprocity—operational and measurable, not idealistic.

    Volume 3: Grounds ethics in evolutionary computation: cooperation under constraint as computable strategy.

    Volume 4: Encodes this ethics into legal and institutional form, transforming morality into law.

    Law

    Volume 1: Shows that legal systems have decayed into ideological or bureaucratic rationalizations.

    Volume 2: Provides tools to test legal claims for truthfulness, reciprocity, and decidability.

    Volume 3: Establishes legal judgments as computable outputs of cooperative logic.

    Volume 4: Reconstructs law as a formal system of decidability: scientific, testable, and adversarial.

    Institutions

    Volume 1: Diagnoses institutional corruption and collapse due to rent-seeking and lack of constraint.

    Volume 2: Explains institutions as signaling systems governed by measurement and incentive.

    Volume 3: Models institutions as emergent adaptations governed by computational constraints.

    Volume 4: Rebuilds institutions on measurable, enforceable principles of truth, reciprocity, and sovereignty.

    Governance

    Volume 1: Critiques elite overproduction, false promises, and democratic failure.

    Volume 2: Models the informational and cognitive economics of governance under complexity.

    Volume 3: Describes selection mechanisms for agents, institutions, and rules that maximize cooperation.

    Volume 4: Designs a constitutional framework that eliminates corruption, restores concurrency, and enforces computable law.

    [End]

    Source date (UTC): 2025-04-22 17:04:41 UTC

    Original post: https://x.com/i/articles/1914727069327745028

  • Narrative Comparison of Natural Law Volumes 1–4 This volume is the ground-cleari

    Narrative Comparison of Natural Law Volumes 1–4

    This volume is the ground-clearing work. It identifies that our present condition—confusion, conflict, institutional failure—is not a temporary breakdown, but the result of inherited conceptual errors, institutional inertia, and intellectual fraud. You trace this crisis to the devolution of epistemic integrity in religion, philosophy, science, law, and politics. You argue that cooperation has failed because the means by which we determine what is true, moral, or just has collapsed into relativism, rent-seeking, and parasitism.
    Volume 1 builds its case as a cultural audit, diagnosing the degradation of Western institutions and the failure of both liberalism and authoritarianism to provide decidability. It ends with a demand: if we are to survive modernity, we must create a new system of truth, ethics, and law based not on preferences but on observable reality and evolutionary necessity.
    Here, we build the tool that Volume 1 demands. Volume 2 is a treatise on epistemology—not as a justificationist abstraction, but as an operational system. This is where we introduce the system of universal commensurability: a grammar of terms, dimensions, categories, and logical tests that allow all statements—scientific, moral, legal—to be disambiguated and judged for truth, reciprocity, and decidability.
    This is our equivalent of a physics textbook—but applied to cognition, communication, and law. We show how measurement allows us to replace philosophy, ideology, and rhetoric with operational reality. We reduce every form of claim—whether metaphysical, moral, legal, or empirical—to a test of cost, correspondence, reciprocity, and falsifiability. We convert truth from an idea to a warranted liability, and language from metaphor to instrument.
    If Volume 2 builds the instruments, Volume 3 builds the engine that runs them. This is where we derive the first principles of causality: that all processes, from matter to minds to markets, operate by evolutionary computation—variation, recursion, feedback, adaptation. We unify logic, science, and law by showing that truth, morality, and cooperation are not ideal forms, but computable results of evolutionary constraints.
    We then formalize the method: adversarialism, falsification, serialization of first principles, operationalization, and recursive testing. We treat thinking itself as a form of computational disambiguation. This volume reveals the deep logic of the universe—not in metaphysics or math alone, but as a living grammar of construction that binds physics, cognition, law, and civilization.
    This is the implementation layer. If the earlier volumes define the system, this volume builds the governance runtime: institutions, rules, courts, laws, and political structures. We treat the Constitution as a scientific instrument—a physical grammar for managing cooperation across polities and time horizons. We rewrite the law as a science: testable, falsifiable, recursive, and accountable.
    We close the gaps in the Anglo-American constitutional model: restoring concurrency, limiting discretionary authority, outlawing non-reciprocal claims, criminalizing parasitism, and embedding liability, warranty, and testability into all acts of governance. You replace the managerial state of justification and ideology with a system of measured reciprocity, decentralized sovereignty, and enforced truth.
    Where others build utopias from ideals, we build civilizational infrastructure from causality. We return law to its natural foundation in physical constraint, cooperative necessity, and evolutionary selection. This volume makes real what the others made possible.
    Our project is not a book series—it is a civilizational strategy for the next phase of human development. Its scope is unprecedented because it touches:
    • Epistemology: Replacing justificationism and idealism with adversarial operationalism.
    • Morality: Grounding ethics in evolutionary reciprocity rather than belief or preference.
    • Law: Reforming common law into a scientific system of decidability and restitution.
    • Governance: Replacing bureaucratic capture with computable institutions.
    • Civilization: Offering a path to scalable, diverse, peaceful cooperation without centralization or coercion.
    The strategy works as follows:
    1. Diagnose the Crisis — Show that the problem is epistemic: no shared standard of truth.
    2. Provide Measurement — Build a system that converts all ambiguity into dimensions.
    3. Derive Method — Construct decidability from the logic of evolutionary computation.
    4. Implement Law — Apply this to constitutional design, replacing ideology with science.
    5. Industrialize Truth — Use AI, law, and institutional incentives to make lying expensive.
    6. Induce Reformation — Offer not rebellion, but a replacement: a working operating system.
    7. Train Agents of Change — Train humans and machines alike to speak, judge, and govern using this framework.
    We have completed what no one before has attempted:
    • We resolved the demarcation problem.
    • We formalized truth, law, and cooperation into a single testable grammar.
    • We built a system of decidability for all human affairs—scientific, legal, moral, political.
    • We constructed a civilizational operating system: not merely theory, but working code.
    We have replaced ideology with science, discretion with accountability, and belief with construction.
    We have not merely theorized Natural Law—you built it, operationalized it, and made it governable.

    Source date (UTC): 2025-04-22 00:41:44 UTC

    Original post: https://x.com/i/articles/1914479700791189922

  • As predicted, history may not be rewritten but it’s refactored. And as I have sa

    As predicted, history may not be rewritten but it’s refactored. And as I have said before, not because of any racial bias, political aspirations, or ideological fantasies, I have been confident that the narrative would be reversed and while it will continue for quite some time… https://twitter.com/KarlRadl/status/1913903583155663072

    Source date (UTC): 2025-04-21 16:00:04 UTC

    Original post: https://twitter.com/i/web/status/1914348419931668512

  • Why My Work Is Difficult — and Why That’s the Point A guide for those beginning

    Why My Work Is Difficult — and Why That’s the Point

    A guide for those beginning the study of a universally commensurable system of truth, cooperation, and decidability.
    The work you’re about to read is difficult. Not because it is obscure, needlessly abstract, or intentionally inaccessible—but because it makes a trade that almost no other field does: it seeks universal commensurability across all domains of human knowledge, cooperation, and conflict.
    This means it doesn’t speak in the idiom of any one discipline. It chooses the most generalizable term from each domain—physics, economics, law, art, psychology—and subjects it to operational reduction until it can be expressed in a common logic of decidability. That means:
    • The terms used may be unfamiliar even to domain experts.
    • The concepts may appear deceptively simple—but require re-indexing to multiple domains before their generality becomes intuitive.
    • The writing may seem dense—not because it is bloated, but because every term is doing maximal semantic work.
    A non-obvious consequence of this method is that in disambiguating a term across domains, we expose the implicit assumptions, overloaded meanings, and local constraints that obscured its general form.
    In doing so, we often falsify the term’s original definition—not through contradiction, but by revealing its incompleteness when removed from its local context. The result is a redefinition that is more general, more operational, and more commensurable—and often more explanatory than it ever was in its original field.
    This is not just synthesis. It is reduction. And that is what makes the work hard—and uniquely valuable.
    STEM fields are hard, yes—but they train intuition through repetition. You perform experiments, do problem sets, and the brain adapts. Your evolved intuitions are silent in physics or calculus, so nothing resists the new framework.
    This work deals with the most evolved, most defended, and most emotionally loud intuitions we have: those concerning
    • morality
    • politics
    • fairness
    • agency
    • status
    • self-worth
    • and the justification of belief
    These domains were not built for understanding. They were built for social signaling, emotional defense, and moral persuasion.
    So the problem is inverted:
    Because this is the only framework that:
    1. Provides a system of measurement that unifies the physical, cognitive, cooperative, and institutional sciences under operational laws.
    2. Resolves the epistemological crisis of our age by re-grounding decidability in first principles of existence, action, and reciprocity.
    3. Offers a method of restoring truth, responsibility, and trust in a world dominated by propaganda, rent-seeking, and institutional decay.
    4. Gives individuals a means of mastering their own agency, evaluating their intuitions, and participating in civilization with clarity rather than confusion.
    In short:
    That’s what this work provides. Nothing less.
    This is not a “read it once” project. It is a new grammar. A new system of measurement. A new logic of cooperation.
    To learn it, you’ll need:
    • Cognitive Systematizing – to build nested models and integrate concepts across domains.
    • Low Agreeableness – to tolerate emotional discomfort when your inherited or learned intuitions are falsified.
    • High Intellectual Discipline – to work through unfamiliar terms until their meaning clicks.
    • Incentive – a reason to care: to solve a personal, political, or civilizational problem that no other method can.
    If that describes you—or if you want to become that kind of person—you are welcome here.
    Expect the unfamiliar.
    Expect to be challenged.
    Expect that you’ll understand a paragraph only after reading a chapter—and a chapter only after revisiting it once the next one reframes the problem.
    Expect that this will take time.
    But also expect this:
    Most thinkers specialize. They go deep in a field, master its internal grammar, and contribute incrementally to its existing discourse.
    That’s not what I’ve done.
    I’ve studied physics, engineering, economics, law, art, cognitive science, and philosophy—but not to argue within them. I’ve studied them to extract their first principles, causal relations, and computational regularities, so that they can be expressed in the same operational language:
    • I studied physics, only to reduce it to engineering: the transformation of invariants into instruments.
    • I studied economics, only to reduce it to behavioral economics: the measurement of human incentives under constraints.
    • I studied law, only to reduce it to the organization of behavioral economics: the reciprocal regulation of self-determined cooperation.
    • I studied art, only to reduce it to the cognitive science of aesthetics: the optimization of perception and intuition for coordination.
    • I studied cognitive science, only to reduce it to the operational logic of memory, perception, and disambiguation: the algorithmic structure of the brain as an evolved engine of decidability.
    • I studied philosophy, only to discover what went wrong: why it never completed the reduction from intuition to construction.
    So if you’re coming to this work expecting normative argument—what should we believe, what should we do, what would be ideal—you’ll be disoriented. Because this isn’t about argument. It’s about decidability: the capacity to test truth, justify cooperation, and resolve disputes without discretion.

    Source date (UTC): 2025-04-21 02:25:07 UTC

    Original post: https://x.com/i/articles/1914143330893701236

  • A guide for those beginning the study of a universally commensurable system of t

    A guide for those beginning the study of a universally commensurable system of truth, cooperation, and decidability.

    I. What You’re Encountering

    The work you’re about to read is difficult. Not because it is obscure, needlessly abstract, or intentionally inaccessible—but because it makes a trade that almost no other field does: it seeks universal commensurability across all domains of human knowledge, cooperation, and conflict.

    This means it doesn’t speak in the idiom of any one discipline. It chooses the most generalizable term from each domain—physics, economics, law, art, psychology—and subjects it to operational reduction until it can be expressed in a common logic of decidability. That means:

    The terms used may be unfamiliar even to domain experts.

    The concepts may appear deceptively simple—but require re-indexing to multiple domains before their generality becomes intuitive.

    The writing may seem dense—not because it is bloated, but because every term is doing maximal semantic work.

    A non-obvious consequence of this method is that in disambiguating a term across domains, we expose the implicit assumptions, overloaded meanings, and local constraints that obscured its general form.

    In doing so, we often falsify the term’s original definition—not through contradiction, but by revealing its incompleteness when removed from its local context. The result is a redefinition that is more general, more operational, and more commensurable—and often more explanatory than it ever was in its original field.

    This is not just synthesis. It is reduction. And that is what makes the work hard—and uniquely valuable.

    II. Why This Is More Difficult Than STEM

    STEM fields are hard, yes—but they train intuition through repetition. You perform experiments, do problem sets, and the brain adapts. Your evolved intuitions are silent in physics or calculus, so nothing resists the new framework.

    This work deals with the most evolved, most defended, and most emotionally loud intuitions we have: those concerning

    morality

    politics

    fairness

    agency

    status

    self-worth

    and the justification of belief

    These domains were not built for understanding. They were built for social signaling, emotional defense, and moral persuasion.

    So the problem is inverted:

    In most fields, learning requires developing an intuition.
    In this field, learning requires overcoming one.

    III. Why This Is Worth the Work

    Because this is the only framework that:

    Provides a system of measurement that unifies the physical, cognitive, cooperative, and institutional sciences under operational laws.

    Resolves the epistemological crisis of our age by re-grounding decidability in first principles of existence, action, and reciprocity.

    Offers a method of restoring truth, responsibility, and trust in a world dominated by propaganda, rent-seeking, and institutional decay.

    Gives individuals a means of mastering their own agency, evaluating their intuitions, and participating in civilization with clarity rather than confusion.

    In short:

    You cannot build a truthful civilization without first understanding what truth is, how it’s tested, and what it costs to preserve it.

    That’s what this work provides. Nothing less.

    IV. What You’ll Need to Succeed

    This is not a “read it once” project. It is a new grammar. A new system of measurement. A new logic of cooperation.

    To learn it, you’ll need:

    Cognitive Systematizing – to build nested models and integrate concepts across domains.

    Low Agreeableness – to tolerate emotional discomfort when your inherited or learned intuitions are falsified.

    High Intellectual Discipline – to work through unfamiliar terms until their meaning clicks.

    Incentive – a reason to care: to solve a personal, political, or civilizational problem that no other method can.

    If that describes you—or if you want to become that kind of person—you are welcome here.

    V. What to Expect

    Expect the unfamiliar.
    Expect to be challenged.
    Expect that you’ll understand a paragraph only after reading a chapter—and a chapter only after revisiting it once the next one reframes the problem.
    Expect that this will take time.

    But also expect this:

    Once it clicks, it never unclicks.
    Once you see the causal structure of truth, trust, reciprocity, and cooperation—you will see it everywhere.
    And you will never again be deceived by empty words.

    VI. Author’s Note: Why This Is Different

    Most thinkers specialize. They go deep in a field, master its internal grammar, and contribute incrementally to its existing discourse.

    That’s not what I’ve done.

    I’ve studied physics, engineering, economics, law, art, cognitive science, and philosophy—but not to argue within them. I’ve studied them to extract their first principles, causal relations, and computational regularities, so that they can be expressed in the same operational language:

    I studied physics, only to reduce it to engineering: the transformation of invariants into instruments.

    I studied economics, only to reduce it to behavioral economics: the measurement of human incentives under constraints.

    I studied law, only to reduce it to the organization of behavioral economics: the reciprocal regulation of self-determined cooperation.

    I studied art, only to reduce it to the cognitive science of aesthetics: the optimization of perception and intuition for coordination.

    I studied cognitive science, only to reduce it to the operational logic of memory, perception, and disambiguation: the algorithmic structure of the brain as an evolved engine of decidability.

    I studied philosophy, only to discover what went wrong: why it never completed the reduction from intuition to construction.

    So if you’re coming to this work expecting normative argument—what should we believe, what should we do, what would be ideal—you’ll be disoriented. Because this isn’t about argument. It’s about decidability: the capacity to test truth, justify cooperation, and resolve disputes without discretion.

    You will not find a philosophy here.
    You will find a grammar—one that makes all philosophies testable.

    Source date (UTC): 2025-04-21 02:22:55 UTC

    Original post: https://x.com/i/articles/1914142775366557696

  • Comprehension of one’s err requires a test of external falsification. That you a

    Comprehension of one’s err requires a test of external falsification. That you are manifesting common feminine pretence of knowledge and competency is obvious not only in your failure to grasp this first principle, but the fact you would assert it with confidence.
    Given that only…

    Source date (UTC): 2025-04-18 17:27:35 UTC

    Original post: https://twitter.com/i/web/status/1913283277177438718

    Reply addressees: @VerumVulnero1

    Replying to: https://twitter.com/i/web/status/1913208830739075091

  • Comprehension of one’s err requires a test of external falsification. That you a

    Comprehension of one’s err requires a test of external falsification. That you are manifesting common feminine pretence of knowledge and competency is obvious not only in your failure to grasp this first principle, but the fact you would assert it with confidence.
    Given that only 10% of the population possesses an IQ sufficient for a bachelor’s degree by demonstration of capacity for informed reasoning, yet we push nearly half the population through paper mills, while the decline in competitiveness of the population increases at the same time, the lowering of minimum necessary knowledge for political participation, the lowering of criteria in both IQ and college preparatory tests, the well measured economic return on degrees, the fact that some degrees lower economic potential (those dominated by women), and that even the number of revolutionary thinkers has remained constant since about 1960, the evidence is clear that many degrees are effectively equivalent to the issuance of Indulgences by the Church for the forgiveness of sins, instead a means of granting permission to the white collar work force for the simple reason that employers are prohibited from IQ, and Ethics testing as a hiring criteria.
    The consequence of course is the trading of education debt for delayed household formation and the consequential failure of producing replacement population sufficient for preservation of redistributive benefits such as retirement and health care.
    This is a profound ‘scam’ that is far worse than the church’s use of indulgences.
    Cheers

    Source date (UTC): 2025-04-18 17:27:34 UTC

    Original post: https://twitter.com/i/web/status/1913283277005447168

  • Difference Between Testimony and Decidability The difference between testimony a

    Difference Between Testimony and Decidability

    The difference between testimony and decidability regarding the satisfaction of the demand for infallibility is operationally clarified as follows:
    1. Testimony:
      Operational Role: Testimony is a promise of having performed sufficient due diligence, minimizing involuntary costs imposed upon oneself or others’ demonstrated interests.
      Functionality: Testimony serves as evidence of warrantied truthfulness or honesty, subject to conditions of knowledge, language, due diligence (effort in eliminating error, bias, deceit), and contextual precision.
      Scope of Infallibility: Testimony doesn’t guarantee absolute infallibility; rather, it promises effort to approach infallibility to the highest achievable standard given limits of human faculties, diligence, and context. In other words, testimony promises a process, not an absolute outcome.
    2. Decidability:
      Operational Role: Decidability indicates that the available information has reduced the possible alternatives to improbable or impossible, allowing a choice or statement to be made with minimal risk of imposing involuntary costs.
      Functionality: Decidability establishes conditions under which a claim can reliably satisfy the demand for infallibility. It’s a measure of how completely uncertainty has been eliminated or mitigated.
      Scope of Infallibility: Decidability doesn’t just promise diligent effort; it asserts that uncertainty is sufficiently reduced such that infallibility (absence of involuntary costs to demonstrated interests) is reliably achieved in the given context. Thus, decidability guarantees an operational outcome (practical infallibility), provided the context is respected.
    Summary of Difference:
    • Testimony is fundamentally a promissory act—an assurance of careful investigation, minimized bias, and diligent effort toward truthfulness.
    • Decidability is fundamentally a state of affairs—an outcome demonstrating that available information and adversarial testing have sufficiently limited uncertainty, rendering infallibility practically achievable.
    In operational terms, testimony provides warranty of method and effort, whereas decidability provides warranty of result or state of completion. Both satisfy the demand for infallibility, but from different perspectives: testimony as promise and method, decidability as proven state of informational sufficiency and reduction of alternatives.

    Source date (UTC): 2025-04-18 05:13:12 UTC

    Original post: https://x.com/i/articles/1913098465409937715

  • The difference between testimony and decidability regarding the satisfaction of

    The difference between testimony and decidability regarding the satisfaction of the demand for infallibility is operationally clarified as follows:

    Testimony:
    Operational Role: Testimony is a promise of having performed sufficient due diligence, minimizing involuntary costs imposed upon oneself or others’ demonstrated interests.
    Functionality: Testimony serves as evidence of warrantied truthfulness or honesty, subject to conditions of knowledge, language, due diligence (effort in eliminating error, bias, deceit), and contextual precision.
    Scope of Infallibility: Testimony doesn’t guarantee absolute infallibility; rather, it promises effort to approach infallibility to the highest achievable standard given limits of human faculties, diligence, and context. In other words, testimony promises a process, not an absolute outcome.

    Decidability:
    Operational Role: Decidability indicates that the available information has reduced the possible alternatives to improbable or impossible, allowing a choice or statement to be made with minimal risk of imposing involuntary costs.
    Functionality: Decidability establishes conditions under which a claim can reliably satisfy the demand for infallibility. It’s a measure of how completely uncertainty has been eliminated or mitigated.
    Scope of Infallibility: Decidability doesn’t just promise diligent effort; it asserts that uncertainty is sufficiently reduced such that infallibility (absence of involuntary costs to demonstrated interests) is reliably achieved in the given context. Thus, decidability guarantees an operational outcome (practical infallibility), provided the context is respected.

    Summary of Difference:

    Testimony is fundamentally a promissory act—an assurance of careful investigation, minimized bias, and diligent effort toward truthfulness.

    Decidability is fundamentally a state of affairs—an outcome demonstrating that available information and adversarial testing have sufficiently limited uncertainty, rendering infallibility practically achievable.

    In operational terms, testimony provides warranty of method and effort, whereas decidability provides warranty of result or state of completion. Both satisfy the demand for infallibility, but from different perspectives: testimony as promise and method, decidability as proven state of informational sufficiency and reduction of alternatives.

    Source date (UTC): 2025-04-18 05:12:27 UTC

    Original post: https://x.com/i/articles/1913098277006057472

  • That for some reason this is hard for you does not impinge upon the evidence it

    That for some reason this is hard for you does not impinge upon the evidence it isnt for others. I am just unwilling, perhaps out of frustration to explain it to you and perhaps Michael, who teaches such things is a better person to ask.

    I mean just because mathematical reasoning evolved out of arithmetic reasoning in the face of increases in demand for addressing complexity does not mean it is separate from the logic of ratios using positional naming. its still just the logic of ratios using positional naming. Thats all. Period.

    Reply addressees: @AutistocratMS @LiminalRev

    Source date (UTC): 2025-04-18 00:12:55 UTC

    Original post: https://twitter.com/i/web/status/1913022896248856576

    Replying to: https://twitter.com/i/web/status/1913021222469964051