Category: Human Behavior and Cognitive Science

  • I love women. I love men. The difference is that I demand equal suppression of a

    I love women. I love men. The difference is that I demand equal suppression of antisocial behavior. We have heavily suppressed male and not suppressed female despite industrial era communication and democratic participation allowing women to excercise their antisocial instincts…


    Source date (UTC): 2024-06-11 17:46:11 UTC

    Original post: https://twitter.com/i/web/status/1800585333387473337

    Replying to: https://twitter.com/i/web/status/1800583809102176710

  • MORE ON FEMALE FRIENDSHIPS. So, I can think of a few women, one who is gay, the

    MORE ON FEMALE FRIENDSHIPS.
    So, I can think of a few women, one who is gay, the other straight and married in particular, and a number of my assistants, who I both counted on for advice, trusted with everything, and still deeply care about. There are others that were relationship… https://twitter.com/curtdoolittle/status/1800553572104323565


    Source date (UTC): 2024-06-11 17:38:57 UTC

    Original post: https://twitter.com/i/web/status/1800583513294455248

  • The opposite is true but then, criminals do not know they are criminals if they

    The opposite is true but then, criminals do not know they are criminals if they are women. They make excuses for their criminality.


    Source date (UTC): 2024-06-11 17:07:50 UTC

    Original post: https://twitter.com/i/web/status/1800575682826690655

    Reply addressees: @Susan_E_J_USA

    Replying to: https://twitter.com/i/web/status/1800564674188185959

  • But we’ve seen the same behavior incrementally emerge since about 1972 or so. An

    But we’ve seen the same behavior incrementally emerge since about 1972 or so. And genZ women are the most symmetrical with men.
    So again, I’m not seeing the vulnerability behavior you’re describing. Though it’s entirely possible the the class of women I’ve interacted with in…


    Source date (UTC): 2024-06-11 15:42:20 UTC

    Original post: https://twitter.com/i/web/status/1800554168022634629

    Replying to: https://twitter.com/i/web/status/1800550605439881416

  • Roughly speaking, yes. 😉 While a minor feature of my work, most people find sex

    Roughly speaking, yes. 😉
    While a minor feature of my work, most people find sex difference in cognition the most interesting because it is the most explanatory of the crisis of the age.

    Scan through this list of posts on the subject:
    https://x.com/search?q=masculine%20feminine%20(from%3Acurtdoolittle)&src=recent_search_click&f=live


    Source date (UTC): 2024-06-11 14:43:51 UTC

    Original post: https://twitter.com/i/web/status/1800539448251486680

    Reply addressees: @TomTheFormless @SRCHicks

    Replying to: https://twitter.com/i/web/status/1800477237847978029

  • That chart doesn’t tell us anything meaningful about the marginal behavior espec

    That chart doesn’t tell us anything meaningful about the marginal behavior especially since it’s from the GSS. At least in GenZ, the ratio of 10% male to 20% female looks closer 5% to 20% simply by the ratio of men without and women with in the 1 month, 3 month and 1 year time…


    Source date (UTC): 2024-06-11 14:40:01 UTC

    Original post: https://twitter.com/i/web/status/1800538482663628916

    Reply addressees: @spaceangelvoice

    Replying to: https://twitter.com/i/web/status/1800339534246449417

  • I would need some sort of evidence given the data is consistent and has been ove

    I would need some sort of evidence given the data is consistent and has been over the past ten years. The reason is simple distribution – few men ‘accessing’ many women.


    Source date (UTC): 2024-06-11 03:56:14 UTC

    Original post: https://twitter.com/i/web/status/1800376469954465876

    Reply addressees: @spaceangelvoice

    Replying to: https://twitter.com/i/web/status/1800339534246449417

  • Yes, I think what you’re saying is that for a woman sexual engagement, is an exp

    Yes, I think what you’re saying is that for a woman sexual engagement, is an expression of vulnerability that is easily suppressed by external anxieties. And that asking a man to achieve that level of vulnerability takes some imagination, provided by the example you stated.

    I guess I am having trouble testing that against the evidence. If you said that women’s intuitions in these matters follow a normal distribution and you’re describing one end of it.

    I mean, I’ve gained weight since I was ill and turned the corner on age, but I would happily have walked down the street naked and shouting at the top of my lungs if I had something worth saying in such a forum. ;). And I’ve certainly met women (most of them) who were far more aggressive in sexual pursuit than I was. And today the evidence is that the the fk-boys are vastly outnumbered by the number of fk-girls. As such as is usual, male regulation is self regulation because of the risks, while female regulation is provided entirely by other women and pandora is out of the box so to speak without regulation by other women.

    Now I can understand that marriage suppresses female interest more so than male interest. And I can understand that marriage and children suppress female capacity to maintain marketability. And I understand as well or more than most the female need for novelty and novel attention vs males. And as such that would drive insecurity. But I’m having difficulty envisioning what I interpret as the extreme position you illustrated. And I’m assuming this is a projection rather than a generalization – because the generalization doesn’t fit the data (also doesn’t fit my experience).

    Thanks

    Reply addressees: @spaceangelvoice


    Source date (UTC): 2024-06-10 23:20:38 UTC

    Original post: https://twitter.com/i/web/status/1800307114465722368

    Replying to: https://twitter.com/i/web/status/1800299181208469746

  • NLI Behavioral Prediction Model – by Shane McClafferty A complete behavioral pre

    NLI Behavioral Prediction Model – by Shane McClafferty

    A complete behavioral prediction model in response to an old tweet reply:
    The Table of Behavioral Dispositions (dimensions, traits, and subtraits):
    Computation (see quoted tweet) describes the process of determining behavior by external factors (environmental or situational) interacting with internal factors to produce a response that receives feedback based on those external and internal factors. By understanding this cycle, future behaviors may be predicted. Prediction is easier when based on general situations and general internal differences in predicting the general behavioral responses.
    The highest level generalities are based on general ternary competencies, which can be used to describe types of Abilities (Intelligence) that are best in their types of Situations (Holland’s) and produce types of behavioral outcomes (Personality). Altogether (Total: Haidt’s), Competencies describe moral dispositions.
    Ternary Competencies fall on a universal circumplex based on three dimensions, each separated by the short- and long-term to produce six unique traits. Each trait can be separated into subtraits based on the masculine (longitudinal) and feminine (hemispheric) tendencies in trait expression. In addition, three meta-traits alter the direction of all dimensions and traits.
    In addition, traits higher in Plasticity are more (according to DeYoung: always) affected by Plasticity, and the remaining traits are more affected by Stability. Also, as we age, we begin to have less dopamine reactivity (Plasticity) and higher baseline serotonin (Stability), so we naturally increase in Stability and decrease in Plasticity as we age.
    For Extroversion (Enterprising, Sensitivity to Cheating, and Sensitivity to Reward), since Plasticity and Stability both increase it, it can be reasoned that the trait evolves over the lifetime from plastic (sensation seeking) to stable Extroversion (gregariousness). For Neuroticism (Unrealistic, Sensitivity to Harm, and Sensitivity to Punishment), Plasticity and Stability both decrease it. This may be why serotonin treatments for depression are more effective in older adults because youth Neuroticism is more based on low plasticity (dopamine) as opposed to low stability (serotonin).
    However, medication rarely increases dopamine reactivity, instead only temporarily raising baseline levels (a model for addiction) but stability is effected by baseline serotonin so serotonin treatments are more likely to produce longer-term outcomes.
    In addition, Eastern Civilization is higher on the meta-trait Stability (tight culture), and Western Civilization is higher on the meta-trait Plasticity (loose culture).
    Situation: The situational differences in competency are effectively represented by the Holland Codes (the Big Six interests) based on work-related environments. However, Holland’s Realistic trait measures a lack of sensitivity to punishment (thus, it is the opposite of proportionality), describing people willing to engage in laborious and dangerous jobs.
    Ability: The different traits of intelligence are primarily based on previous cognitive measures. EQ was separated by emotional (interpersonal) and social (intrapersonal) intelligence. Interpersonal intelligence is the typical description of EQ, but Intrapersonal Intelligence (organizing between people) was initially separated due to opposing gender biases.
    Organization (described by organization metrics) is also described by many self-control metrics. Creativity is the closest measure of pattern recognition (usually the focus of IQ tests, which is why IQ most strongly correlates with Openness).
    The final two traits come from risk aversion (Sensitivity to Punishment) and opportunity-seeking (Sensitivity to Reward) bias measurements.
    Behavior: Personality is based on The Big Five +1 Personality model (OCEAN). More on the choice of the sixth trait, Distinctiveness, and The Big Five can be found here:
    Total: Another model that describes these biases in all computational factors (that I refer to as total computation) is the Moral Foundation theory (with the later added oppression/liberty trait). The traits are currently organized as belief in “good thing” -> “bad thing,” but each “good thing” only describes either the male or female bias. So, I have named the traits “sensitivity to the bad thing” and the subtraits by the longitudinal or hemispheric moral bias of the “good thing.”
    It is unclear whether the current model measures the trait or the subtrait, but in the table, I marked the subtrait as the current measure.
    Emotion (short-term changes): These competencies also apply to shorter-term changes in behavior that we often call emotion, mood, or feelings. Research has recently made improvements in recognizing emotional dimensions rather than just specific emotions (anger, fear, happiness, sadness). Using three dimensions of emotions, the specific emotions can be functionally separated.
    Emotional dimensions also follow changes in hormones, neurotransmitters, and autonomic activity. Current research lacks a focus on differential correlations of all three emotional dimensions.
    Overall, this table was validated using indirect evidence and theorizing about theories. Still, I believe it will stand the scrutiny of time due to the high consistency in the evidence and previous theories. With that said, I encourage any attempts to falsify/correct aspects of the table since it is only in the very early stages. The Periodic Table of Chemistry was also similar in its creation and only came to survive because as more elements were discovered, it became clear that it was the most effective way to understand elements.
    In the Natural Law Institute and ) perspective, computation (evolutionary computation) and calculation refer to different types of determination. Even though both terms “to calculate” and “to compute” are defined the same in the dictionary (to determine/calculate).
    When referring to “evolutionary computation,” it is often shortened to “computation,” but because it is never referred to as “evolutionary calculation,” the term “calculation” remained to refer to other forms of determination. The divergence in these terms allows for a greater understanding of the type of determination.
    Evolutionary computation describes how a feedback loop of environmental/situational pressures produces general adaptive outcomes within the bounds of ternary logic (first principles). Therefore, computation is a feedback loop between adaptations and whether they fit the situational pressures that produce ternary outcomes to avoid chaos.
    Evolutionary computation describes the external forces influencing adaptation but does not explain how the adaptation occurs (only what it is). How adaptation takes place (or how effectively) is what remains of determination, so it is referred to as calculation.
    Determination follows an input-process-output feedback cycle. The feedback is computation, the process is calculation, and the input and output are the interactions between computation and calculation.

    So, to view the effects of Computation, you would compare the input, the process, and the output to determine what feedback it is receiving. For calculation, you would compare the input and the output to determine differences in processes.
    Behavior can, therefore, be predicted by the feedback (the environment/situation), the processes (abilities/biases), and the adaptations. This forms a ternary logic of computation to escape chaos.
    Calculation forms different ternary relationships between different processes. In behavior, these processes are found most prominently in genetics (and epigenetics), biochemical, and neuronal communication. The most commonly referred to calculational differences are general (right brain) versus specific (left brain) cognition and masculine versus feminine bias.

    Mathematical Representations of ‘s and ‘s Computation, Ternary Logic, and Decidability.
    Determination (Decidability): A formula for determining the outcome (behavior/adaptation) already exists in chemistry with the Gibbs free energy formula. Which calculates the probability of a reaction taking place (G) from the entropy/chaos (S), enthalpy (the chemical resistance: Ω), and the substrate temperature (T).
    G is replaced with the probability of adaptation or likelihood of a behavior (the higher probability also means the faster or more often). The substrate temperature represents the situational pressure. Enthalpy can be considered the resistance to change or the opposite of the ability to change. Finally, the entropy value is the amount of chaos yet to be adapted to.
    (Note: a negative G is when a reaction (adaptation will occur.)
    Computation: The ternary aspects of computation (adaptation, situation, and ability (-resistance) can also be used to calculate the influences of each other. Where: Adaptation is the outcome or change in adaptation, Situation is the situational pressure to adapt, and Resistance is the likelihood of avoiding adaptation.
    Adaptation– Adaptation = Situation * (-Resistance)
    Situation– Situation = Adaptation / (-Resistance)
    Ability/Resistance (Calculation)– -Resistance = Adapatation / Situation
    Adaptive Dimensions of Computation (Ternary Logic): Ternary logic is the natural outcome of computation and can determine general differences in abilities, adaptations, and situations. The below graph will show a behavioral representation (right) and a mathematical representation (left).
    A mathematical approximation for z would be: z = x * y You can also calculate the degree of chaos escaped (adaptation) from the ternary logic of adaptations. Adaptation = –S -S = x * y * z Traits of Ternary Logic: The adaptive dimensions have a division between short-term behaviors adaptive in a few situations and long-term behaviors adaptive in most situations. Short-term behaviors follow the opposite end of each dimension from long-term behaviors.
    Dimensional biases can be calculated from traits by subtracting their traits (short- and long-term).
    Soveriengty = -Conformity = x – c
    Short-term and long-term adaptation can also be individually calculated.
    Short-term = x * a * b
    Long-term = z * c * y
    Metatraits of Ternary Logic: Metatraits show global biases in all six ternary traits. They are uniquely helpful in comparing group differences and can also show how differences in processes/abilities (calculation) produce differing traits.
    Metatraits can be calculated from a directional combination of all six traits.
    E = (y * z * b) / (x * a * c) F = (x * z * c) / (y * a * b) D = (z * c * b) / (x * y * a)
    By Shane McClafferty [End]
  • A complete behavioral prediction model in response to an old @curtdoolittle twee

    A complete behavioral prediction model in response to an old @curtdoolittle tweet reply: https://x.com/curtdoolittle/status/1382758374543069187?s=20…

    To profile a person you need:
    1 – IQ (and VvsM)
    2 – Systematizing(M) vs Empathizing (F)
    3 – Personality (big 5 down to facets, so 10 values)
    4 – Morality (6 moral foundations)
    AND
    5 – Ethnicity
    6 – Religion of maternal and paternal grandmothers.
    7 – Political (Nolan)

    Behavior

    The Table of Behavioral Dispositions (dimensions, traits, and subtraits):

    Computation (see quoted tweet) describes the process of determining behavior by external factors (environmental or situational) interacting with internal factors to produce a response that receives feedback based on those external and internal factors. By understanding this cycle, future behaviors may be predicted. Prediction is easier when based on general situations and general internal differences in predicting the general behavioral responses.

    The highest level generalities are based on general ternary competencies, which can be used to describe types of Abilities (Intelligence) that are best in their types of Situations (Holland’s) and produce types of behavioral outcomes (Personality). Altogether (Total: Haidt’s), Competencies describe moral dispositions.

    Ternary Competencies fall on a universal circumplex based on three dimensions, each separated by the short- and long-term to produce six unique traits. Each trait can be separated into subtraits based on the masculine (longitudinal) and feminine (hemispheric) tendencies in trait expression. In addition, three meta-traits alter the direction of all dimensions and traits.

    In addition, traits higher in Plasticity are more (according to DeYoung: always) affected by Plasticity, and the remaining traits are more affected by Stability. Also, as we age, we begin to have less dopamine reactivity (Plasticity) and higher baseline serotonin (Stability), so we naturally increase in Stability and decrease in Plasticity as we age.

    For Extroversion (Enterprising, Sensitivity to Cheating, and Sensitivity to Reward), since Plasticity and Stability both increase it, it can be reasoned that the trait evolves over the lifetime from plastic (sensation seeking) to stable Extroversion (gregariousness). For Neuroticism (Unrealistic, Sensitivity to Harm, and Sensitivity to Punishment), Plasticity and Stability both decrease it. This may be why serotonin treatments for depression are more effective in older adults because youth Neuroticism is more based on low plasticity (dopamine) as opposed to low stability (serotonin).

    However, medication rarely increases dopamine reactivity, instead only temporarily raising baseline levels (a model for addiction) but stability is effected by baseline serotonin so serotonin treatments are more likely to produce longer-term outcomes.

    In addition, Eastern Civilization is higher on the meta-trait Stability (tight culture), and Western Civilization is higher on the meta-trait Plasticity (loose culture).

    Situation: The situational differences in competency are effectively represented by the Holland Codes (the Big Six interests) based on work-related environments. However, Holland’s Realistic trait measures a lack of sensitivity to punishment (thus, it is the opposite of proportionality), describing people willing to engage in laborious and dangerous jobs.

    Ability: The different traits of intelligence are primarily based on previous cognitive measures. EQ was separated by emotional (interpersonal) and social (intrapersonal) intelligence. Interpersonal intelligence is the typical description of EQ, but Intrapersonal Intelligence (organizing between people) was initially separated due to opposing gender biases.

    Organization (described by organization metrics) is also described by many self-control metrics. Creativity is the closest measure of pattern recognition (usually the focus of IQ tests, which is why IQ most strongly correlates with Openness).

    The final two traits come from risk aversion (Sensitivity to Punishment) and opportunity-seeking (Sensitivity to Reward) bias measurements.

    Behavior: Personality is based on The Big Five +1 Personality model (OCEAN). More on the choice of the sixth trait, Distinctiveness, and The Big Five can be found here: https://x.com/Claffertyshane/status/1702421139937431893?s=20…

    Total: Another model that describes these biases in all computational factors (that I refer to as total computation) is the @JonHaidt Moral Foundation theory (with the later added oppression/liberty trait). The traits are currently organized as belief in “good thing” -> “bad thing,” but each “good thing” only describes either the male or female bias. So, I have named the traits “sensitivity to the bad thing” and the subtraits by the longitudinal or hemispheric moral bias of the “good thing.”

    It is unclear whether the current model measures the trait or the subtrait, but in the table, I marked the subtrait as the current measure.

    Emotion (short-term changes): These competencies also apply to shorter-term changes in behavior that we often call emotion, mood, or feelings. Research has recently made improvements in recognizing emotional dimensions rather than just specific emotions (anger, fear, happiness, sadness). Using three dimensions of emotions, the specific emotions can be functionally separated.

    Emotional dimensions also follow changes in hormones, neurotransmitters, and autonomic activity. Current research lacks a focus on differential correlations of all three emotional dimensions.

    Overall, this table was validated using indirect evidence and theorizing about theories. Still, I believe it will stand the scrutiny of time due to the high consistency in the evidence and previous theories. With that said, I encourage any attempts to falsify/correct aspects of the table since it is only in the very early stages. The Periodic Table of Chemistry was also similar in its creation and only came to survive because as more elements were discovered, it became clear that it was the most effective way to understand elements.

    Computation Versus Calculation:

    In the Natural Law Institute @NatLawInstitute and @curtdoolittle) perspective, computation (evolutionary computation) and calculation refer to different types of determination. Even though both terms “to calculate” and “to compute” are defined the same in the dictionary (to determine/calculate).

    https://naturallawinstitute.com/docs/old-material/basic-concepts/glossary-2/#C…

    When referring to “evolutionary computation,” it is often shortened to “computation,” but because it is never referred to as “evolutionary calculation,” the term “calculation” remained to refer to other forms of determination. The divergence in these terms allows for a greater understanding of the type of determination.

    Evolutionary computation describes how a feedback loop of environmental/situational pressures produces general adaptive outcomes within the bounds of ternary logic (first principles). Therefore, computation is a feedback loop between adaptations and whether they fit the situational pressures that produce ternary outcomes to avoid chaos.

    Evolutionary computation describes the external forces influencing adaptation but does not explain how the adaptation occurs (only what it is). How adaptation takes place (or how effectively) is what remains of determination, so it is referred to as calculation.

    Determination follows an input-process-output feedback cycle. The feedback is computation, the process is calculation, and the input and output are the interactions between computation and calculation.

    So, to view the effects of Computation, you would compare the input, the process, and the output to determine what feedback it is receiving. For calculation, you would compare the input and the output to determine differences in processes.

    Behavior can, therefore, be predicted by the feedback (the environment/situation), the processes (abilities/biases), and the adaptations. This forms a ternary logic of computation to escape chaos.

    Calculation forms different ternary relationships between different processes. In behavior, these processes are found most prominently in genetics (and epigenetics), biochemical, and neuronal communication. The most commonly referred to calculational differences are general (right brain) versus specific (left brain) cognition and masculine versus feminine bias.

    Mathematic formulas for to these principles:

    https://x.com/Claffertyshane/status/1715856027692781724?s=20ju

    Mathematical Representations of @curtdoolittle’s and @NatLawInstitute’s Computation, Ternary Logic, and Decidability.

    Determination (Decidability): A formula for determining the outcome (behavior/adaptation) already exists in chemistry with the Gibbs free energy formula. Which calculates the probability of a reaction taking place (G) from the entropy/chaos (S), enthalpy (the chemical resistance: Ω), and the substrate temperature (T).

    G is replaced with the probability of adaptation or likelihood of a behavior (the higher probability also means the faster or more often). The substrate temperature represents the situational pressure. Enthalpy can be considered the resistance to change or the opposite of the ability to change. Finally, the entropy value is the amount of chaos yet to be adapted to.

    (Note: a negative G is when a reaction (adaptation will occur.)

    Computation: The ternary aspects of computation (adaptation, situation, and ability (-resistance) can also be used to calculate the influences of each other. Where: Adaptation is the outcome or change in adaptation, Situation is the situational pressure to adapt, and Resistance is the likelihood of avoiding adaptation.

    Adaptation-
    Adaptation = Situation * (-Resistance)

    Situation-
    Situation = Adaptation / (-Resistance)

    Ability/Resistance (Calculation)-
    -Resistance = Adapatation / Situation

    Adaptive Dimensions of Computation (Ternary Logic): Ternary logic is the natural outcome of computation and can determine general differences in abilities, adaptations, and situations. The below graph will show a behavioral representation (right) and a mathematical representation (left).

    A mathematical approximation for z would be: z = x * y You can also calculate the degree of chaos escaped (adaptation) from the ternary logic of adaptations. Adaptation = -S -S = x * y * z Traits of Ternary Logic: The adaptive dimensions have a division between short-term behaviors adaptive in a few situations and long-term behaviors adaptive in most situations. Short-term behaviors follow the opposite end of each dimension from long-term behaviors.

    Dimensional biases can be calculated from traits by subtracting their traits (short- and long-term).

    Soveriengty = -Conformity = x – c

    Short-term and long-term adaptation can also be individually calculated.

    Short-term = x * a * b

    Long-term = z * c * y

    Metatraits of Ternary Logic: Metatraits show global biases in all six ternary traits. They are uniquely helpful in comparing group differences and can also show how differences in processes/abilities (calculation) produce differing traits.

    Metatraits can be calculated from a directional combination of all six traits.

    E = (y * z * b) / (x * a * c)
    F = (x * z * c) / (y * a * b)
    D = (z * c * b) / (x * y * a)

    By Shane McClafferty
    [End]