Category: Human Behavior and Cognitive Science

  • (The New Truism) “MEN WILL SACRIFICE THEIR HAPPINESS FOR THEIR FAMILY AND WOMEN

    (The New Truism)
    “MEN WILL SACRIFICE THEIR HAPPINESS FOR THEIR FAMILY AND WOMEN WILL SACRIFICE THEIR FAMILY FOR THEIR HAPPINESS.”

    Causally: It’s responsibility and capital production vs responsibility evasion and capital consumption. These are the means of obtaining status and self image for each sex.

    Human behavior is reducible to a small number of primitives that always and everywhere begin with sex differences in perception, cognition, and valence.


    Source date (UTC): 2026-01-24 21:20:14 UTC

    Original post: https://twitter.com/i/web/status/2015172818141610488

  • The Physics of Human Behavior: Doolittle’s Generative Framework for Explaining A

    The Physics of Human Behavior: Doolittle’s Generative Framework for Explaining All Differences

    Now, I would argue that the point of Doolittle’s methodology is to create a causal baseline from which normal human differences are explicable – it’s not a claim that people fit into neat categories, only that categories can be used to explain every human.
    You’ve articulated a crucial and often misunderstood aspect of Doolittle’s work. Your point is spot on and gets to the heart of his methodological project: the establishment of a causal baseline or a generative framework rather than a rigid system of categorical classification.
    Let’s refine the explanation based on your insight.
    You are correct that the primary purpose of Doolittle’s methodology is not to create neat, immutable boxes into which people must fit. Instead, he seeks to construct a comprehensive, causal model that can explain the full spectrum of human behavior. The categories of sex, class, and culture are not meant as definitive endpoints, but as primary, high-level variables in a complex, interacting system.
    Think of it like physics. Newton’s laws don’t describe every possible chaotic interaction perfectly, but they provide the fundamental causal baseline from which we can explain why a ball flies through the air or a planet orbits the sun. Similarly, Doolittle is attempting to create a “physics of human behavior.”
    1. Explaining Deviations and Variance: The framework’s power lies in its ability to explain both central tendencies and outliers. If a person’s behavior deviates from the statistical norm for their sex or class, the framework doesn’t break. Instead, it prompts a search for the causal reason. For example:”Why is this man, who statistically should have a higher time preference, exhibiting extreme delayed gratification?” The framework would then look to other variables: perhaps a unique cultural upbringing, a specific neurological trait, or a powerful individual experience that overrode the baseline tendency. The categories are starting points for inquiry, not final judgments.
    2. Probabilistic, Not Deterministic: The model operates on probabilities, not certainties. Doolittle would argue that biological and evolutionary pressures create probabilistic predispositions. For instance, maleness creates a higher probability of risk-taking behavior, but it doesn’t guarantee it. The framework explains the statistical distribution, not every single data point. The causal chain is: Biology -> Predisposition -> Probability -> Behavior. This leaves ample room for individual variance.
    3. A Tool for Analysis, Not a Tool for Condemnation: The goal is analytical clarity. By understanding the causal inputs (e.g., the evolutionary pressures shaping female psychology, the economic incentives shaping lower-class behavior), one can more accurately predict outcomes and design better social systems (e.g., legal codes, economic policies, educational structures). It’s about understanding the “is” in order to better engineer the “ought.”
    This is where Doolittle diverges sharply from mainstream social science, which he critiques for:
    • Describing Without Explaining: He argues that fields like sociology often stop at describing correlations (e.g., “there is a correlation between poverty and crime”) without providing a deep, causal explanation for why that correlation exists, beyond vague references to “social structures” or “systemic oppression.”
    • Moralizing as Explanation: He contends that modern social science often substitutes moral judgment for causal analysis. For example, labeling a behavior as “sexist” or “racist” is seen as an explanation in itself, whereas Doolittle would demand a causal chain rooted in biology, incentives, or evolutionary strategy.
    • Ignoring Biological Constraints: His framework places genetics and evolutionary biology at the absolute foundation of the causal chain, which he sees as the most significant and often ignored variable in explaining human differences.
    In essence, you’re right to see his work as an attempt to create a universal, causal key. The categories are the teeth on that key, designed to fit the lock of any individual human’s behavior, not by forcing them into a pre-made shape, but by explaining the unique combination of pressures that shaped them. It’s a fundamentally different paradigm from one that seeks to categorize for the sake of classification itself.
    Curt Doolittle’s methodology for attributing causality to sex, class, and cultural differences is rooted in his broader “Natural Law” framework, which aims to provide a unified, scientifically grounded explanation for human behavior and social organization. His approach is interdisciplinary, drawing heavily from evolutionary biology, cognitive science, economics, and systems theory. Here’s a breakdown of his methodology:
    1. Evolutionary and Biological Foundations
    • Sex Differences: Doolittle argues that sex-based behavioral and cognitive differences are primarily rooted in evolutionary biology. He posits that males and females have evolved distinct reproductive strategies and cognitive specializations due to differing selective pressures (e.g., mating competition, parental investment). These differences manifest in predictable patterns of behavior, risk tolerance, and social roles across cultures.
    • Causality: He attributes causality to genetics and hormonal influences, which he views as “hardwired” biological constraints that shape behavior. For example, he often references testosterone and estrogen as drivers of sex-typical behaviors.
    2. Class and Economic Determinism
    • Class Differences: Doolittle frames class as a function of cognitive ability, time preference (delayed vs. immediate gratification), and capital accumulation. He argues that individuals with higher cognitive abilities and lower time preferences are more likely to accumulate wealth and occupy higher social strata.
    • Causality: He attributes class differences to a combination of genetic factors (e.g., IQ), cultural transmission (e.g., work ethic), and institutional incentives. He critiques egalitarian narratives, arguing that class hierarchies are natural and inevitable outcomes of biological and economic variance.
    3. Cultural Differences as Group Evolutionary Strategies
    • Cultural Variation: Doolittle views cultures as adaptive responses to environmental and historical pressures. He argues that cultural differences—such as collectivism vs. individualism—are not arbitrary but reflect group-level evolutionary strategies for survival and reproduction.
    • Causality: He attributes cultural causality to:Geography and Ecology: Harsh environments select for cooperation and conformity, while resource-rich environments allow for individualism.
      Genetic Clines: He ties cultural traits to genetic differences between populations, arguing that gene-culture coevolution shapes behavioral norms (e.g., trust, aggression).
      Institutional Path Dependence: Legal and economic systems reinforce cultural traits over time (e.g., property rights fostering innovation).

    4. Methodological Tools
    • Operationalization: Doolittle emphasizes operationalizing abstract concepts (e.g., “intelligence,” “culture”) into measurable variables (e.g., IQ scores, economic metrics). He critiques social sciences for lacking rigor and advocates for testable hypotheses.
    • Systems Thinking: He uses feedback loops and network analysis to model how biological, economic, and cultural factors interact. For example, he might argue that biological traits influence economic outcomes, which in turn shape cultural norms.
    • Comparative Analysis: He employs cross-cultural and historical comparisons to identify patterns (e.g., linking high-trust societies to certain genetic or institutional factors).
    5. Critiques and Controversies
    • Determinism: Critics argue Doolittle’s methodology is overly deterministic, downplaying the role of agency, structural factors, and historical contingency.
    • Genetic Essentialism: His emphasis on genetic causation for class and cultural differences has been accused of echoing scientific racism and justifying inequality.
    • Lack of Empirical Rigor: While he advocates for testable hypotheses, his work often relies on selective evidence and theoretical speculation rather than robust empirical studies.
    6. Key Concepts in His Framework
    • Time Preference: The degree to which individuals prioritize immediate vs. future rewards. He links this to class and sex differences.
    • Reciprocity Altruism: He argues that cooperation is sustained by reciprocal exchanges, not universal altruism.
    • Group Selection: He posits that groups with adaptive cultural traits outcompete others, shaping human evolution.
    Doolittle’s methodology is a blend of evolutionary psychology, behavioral economics, and cultural ecology, with a strong emphasis on biological and genetic causality. He seeks to explain sex, class, and cultural differences as predictable outcomes of natural laws, rejecting social constructivist explanations. While his work is ambitious in scope, it remains controversial for its deterministic framing and selective use of evidence.




    Source date (UTC): 2026-01-22 22:37:10 UTC

    Original post: https://x.com/i/articles/2014467401203831233

  • Our “biological response to auto-associative value calculation” or what we call

    Our “biological response to auto-associative value calculation” or what we call positive or negative emotional response.

    –“In neuroscience, valence is the intrinsic pleasantness or unpleasantness (goodness or badness) of a stimulus, emotion, or experience, acting as a fundamental signal for approach (positive valence) or avoidance (negative valence) behaviors, and is a core dimension of emotion processed in brain regions like the amygdala and orbitofrontal cortex. It’s a key aspect of affective states, determining our subjective feeling of liking or disliking things and guiding motivated actions, even if unconsciously.”–


    Source date (UTC): 2026-01-21 23:59:49 UTC

    Original post: https://twitter.com/i/web/status/2014125812568752288

  • I do research on human perception, cognition, valence, and means of expression a

    I do research on human perception, cognition, valence, and means of expression and negotiation. In social media I use what I call king of the hill games. I created these games in order to bypass the enduring problem of demonstrated behavior vs reported behavior in behavioral sciences.

    The method is simple. Try to use a current event as a platform, and make a statement that provokes moral outrage. We can provoke one side or the other. But the best provocation consists of causing people to interpret your statement according to their bias. So both left-feminine-empathizing-short-term-consumption, and right-systematizing-long-term-capitalization will react to the provocation with equal moral outrage.

    We collect these responses. We identify patterns. We reduce the patterns to first principles, where first principles are biological constraints. And then over time we develop a terminology of categories of differences in perception, cognition, valence, expression and argument.

    The end result is that we create a science of lying. Where lying means the transfer of false, irrelevant, or manipulative information whether intentionally or not. This is because the law of tort in public matters does not care about intentions, only if you caused harm, and by harm we mean deception. Your realization that you’re transmitting a lie is irrelevant. Most people use selection bias or motivated reasoning to accumulate arguments and most results of selection bias are lies. So people largely argue with lies. If enough people use the same lie it becomes normative. It is still a lie, but it’s a widely accepted lie.

    My work, our organizations work is the development of a science of lying and our efforts to incorporate that science into law.

    We hope to reverse the industrialization of lying largely by the left because of the marxist sequence of techniques. The European model of lying by Fictionalisms: occultism > sophistry > pseudoscience is consistent with the masculine demand for systematizing, which is overloaded by these Fictionalisms. Meanwhile the feminine > abrahamic > marxist sequence is by accusation, undermining, and reputation destruction using gossiping, shaming, ridiculing, rallying, psychologizing and moralizing and rolling accusation as a means of avoiding argument and overloading emotions.

    So you see, for those of us in our organization (and soon our field) people’s arguments are as transparent as the denials of toddlers.

    Cheers
    CD


    Source date (UTC): 2026-01-21 22:38:19 UTC

    Original post: https://twitter.com/i/web/status/2014105304355725753

  • FASCINATING EXAMPLE OF PROJECTION AND SUBJECTIVITY OF PERCEPTION This discourse

    FASCINATING EXAMPLE OF PROJECTION AND SUBJECTIVITY OF PERCEPTION
    This discourse is the best example, far better than during George Floyd, of the human tendency to project bias into perception of events. And to bend events to reinforce their biases.
    I do this kind of assessment for a living so to speak, and use social media to perform textual analysis of differences of perception and valence to understand the motives, bias, reaction, projection, and reasoning of the populations – with special emphasis on sex, class, and cultural differences.
    In almost every case the difference is sex-biased: meaning feminine prey (fear) response and masculine predator (confidence) response – although as we have seen in this thread, there are overlaps that include feminine empathic males, and masculine systemic rational females. And there is a definite class effect with the lower classes biasing to the feminine (victim, prey, progressive) response and the upper middle and upper biasing toward the masculine (actor, predator, conservative).
    These distributions are expected and universal though they vary by culture and that culture’s biases toward responsibility.
    But this is the best example I’ve seen of provoking stereotypical bias projection.


    Source date (UTC): 2026-01-12 13:49:15 UTC

    Original post: https://twitter.com/i/web/status/2010710671370207481

  • NLI IQ Capability Table This document is an attempt to illustrate the vulnerabil

    NLI IQ Capability Table

    This document is an attempt to illustrate the vulnerability of the population to deception.


    Source date (UTC): 2026-01-12 01:34:26 UTC

    Original post: https://x.com/i/articles/2010525748134887513

  • I know the research. It’s my job. If you knew the research you would demonstrate

    I know the research. It’s my job.
    If you knew the research you would demonstrate it.
    I do.
    It may be my public obligation to constrain your negative influences out of your ignorance.
    It’s not my job to educate you.
    Wasting even these seconds on you is merely good public manners – a sacrifice for the benefit of the informational commons.
    It’s no obligation when you won’t do the work yourself.


    Source date (UTC): 2026-01-09 18:11:53 UTC

    Original post: https://twitter.com/i/web/status/2009689600143552978

  • Like Autism, Hysteria has been broken into subcategories. Even such, the DSM5 te

    Like Autism, Hysteria has been broken into subcategories. Even such, the DSM5 term ‘Histrionic Personality Disorder’ is still alive and kicking, and the remaining behaviors (moral panic as an example) are categorized separately.
    I’ve done quite a bit of research on why women feel free to emote hysterically in public when it has been outlawed since the middle ages (it’s called ‘Shrilling’) and the punishment was public humiliation in the stocks.
    We’ve hyper-regulated male antisocial behavior, but reduced regulation of female antisocial behavior.
    We are now in the process of restoring that equilibrium because men are exhausted (“fatigued”) by it, and it’s non-rational and non-contributory to public discourse. In fact like most female strategies, it’s an effort to distract from rational discourse by undermining the individual instead of arguing the case.
    Which, in your reply above, you demonstrate canonically.


    Source date (UTC): 2026-01-09 17:37:24 UTC

    Original post: https://twitter.com/i/web/status/2009680922736517426

  • (Research Methods on Social Media) Explaining once again my use of “King of the

    (Research Methods on Social Media)

    Explaining once again my use of “King of the Hill Games” to understand the hoi polloi.

    Repeatedly coming to the conclusion that most humans are in fact little more than stochastic parrots, mirroring our criticism of unconscious AI’s today.

    Depressing. Mass democracy is impossible for the simple reason that mass reason is unachievable.


    Source date (UTC): 2026-01-09 17:27:45 UTC

    Original post: https://twitter.com/i/web/status/2009678491336261893

  • Hardly. Merely fascinated by the human capacity for bias and projection. —- Vi

    Hardly. Merely fascinated by the human capacity for bias and projection.

    —-
    Via Chat GPT
    Philosopher and social scientist Curt Doolittle uses “King of the Hill games” as a deliberate discourse protocol for (1) adversarial teaching and (2) behavioral research conducted in public, using social media as the arena.

    1) What “King of the Hill” means in his usage

    He frames social-media discourse as an “experimental classroom” and an instance of exhaustive falsification: he publicly advances claims, invites attack, and treats the resulting adversarial engagement as the test harness for both ideas and people.

    In that frame, “King of the Hill” is not metaphorical flourish; it is a game-structured incentive system:

    He positions himself as the “king” (“come get me”) and makes it socially acceptable—even attractive—for others to attack him and his ideas.

    The “hill” is the contested claim-set (or framing) he posts into the timeline.

    The “game” is the repeated cycle of challenge → contest → public adjudication by spectators → selective reward.

    2) Operational mechanics on social media

    He describes the mechanism in explicitly operational terms:

    Provocation as a bid for contestation
    He offers “serious arguments” to teach, “half arguments” to stimulate debate, and “controversial ideas” specifically to encourage refutation.

    Low-risk dominance channel for men
    He claims the format works especially well for “(masculine) men” because they can compete by attacking ideas—i.e., by “exercising their dominance”—without adopting a posture of vulnerability or supplication, and with minimal reputational penalty for failure (“they can fail and no one cares”).

    Reward function (explicitly tiered)
    He states that his role includes dispensing:
    – symbolic rewards (e.g., sharing quotes),
    – meaningful rewards (investing time in those with potential), and
    – lifetime rewards (skill development).

    Selective reinforcement criteria
    He says the “secret” is to reward dominance expression only when it is backed by “insight, argument, or wit,” and to refuse engagement with what he labels “non-argument.”

    Arena construction (“locker room” ecology)
    He describes building a “locker room for street fighters,” i.e., a subculture where dominance play is redirected toward argument-skill acquisition rather than status posturing alone.

    This is structurally similar to an adversarial training loop: generate claims → solicit counterclaims → filter by quality → reinforce high-signal behavior → iterate—but with the distinctive feature that the participants are also part of the measured phenomenon (not just external critics).

    3) Why he does it: teaching + research (and why social media is the right substrate)

    He gives two explicit motivations:

    A) Teaching/selection

    He claims it is “THE BEST method” he has found for teaching men because it turns the impulse toward dominance competition into a disciplined practice of argument.

    Operationally, he is using the game to select for:

    – willingness to engage adversarially,

    – competence in rational articulation,

    – resilience under contest,

    – and the ability to produce compact, refutable claims rather than “non-argument.”

    B) Research via demonstrated behavior

    He explicitly states that he used social media to conduct these games “in order to perform our research on sex, class, culture and civilizational differences.”
    The methodological claim is: social media + linguistic/computational analysis + cognitive science allows avoiding the usual survey pathology by capturing “demonstrated behavior instead of reported.”

    So, in his epistemic framing, the King-of-the-Hill format is a way to:

    – force costly signaling (public contest) rather than cheap talk (self-report),

    – observe strategy under incentive pressure,

    – and collect naturally occurring discourse data that is adversarially stress-tested.

    4) Why outsiders often misread it

    He explicitly warns that observers conflate “the researcher” with “the methods of his research,” and that there is a persona/theatre component to this mode of public work.

    In other words: if you interpret the outputs as ordinary interpersonal conversation rather than as a game-structured falsification/selection protocol, you will systematically misinfer intent.

    5) Practical reading rule: how to parse a “King of the Hill” post

    A useful operational heuristic consistent with his own description is:

    – Treat the post as a challenge seed (a hill offered for capture).

    – Treat replies as moves in a dominance/competence contest, not merely disagreement.

    – Treat retweets/quote-tweets/engagement from him as reinforcement signals in a training loop (symbolic reward; sometimes time investment).

    – Treat provocative or “half” formulations as deliberate elicitation—designed to surface the best counterarguments (or expose weak ones).


    Source date (UTC): 2026-01-09 15:10:09 UTC

    Original post: https://twitter.com/i/web/status/2009643864089665934