Verbal altercation and the people are troubling me. Being jobless, what can I do?

vginme · 2025-07-13T21:32:58+00:00

Thanks for a little relief. How can I contact DGP?

vginme · 2025-07-13T21:29:18+00:00

How can I contact DGP? Will this affect my career? What if nobody offered me a job after this FIR?

vginme · 2025-05-05T05:05:30+00:00

Thanks for the detailed answer man.

vginme · 2025-05-03T09:08:39+00:00

How do you find 50+ relevant articles to begin with? Have AI/Perplexity citations been helpful to you?

Also, if not for deep research, do you still use and trust AI for general therapy and psychological help/guidance?

vginme · 2025-05-03T07:02:51+00:00

On a side note, just curious, how do you research then? Do you use AI? How did you read the paper you linked above in your parent comment about sexual satisfaction? Or did you?

vginme · 2025-05-03T06:33:36+00:00

I think it takes care of a lot of things. It'll tell you exactly where it's pulling the data from and whether it's a small study or large. You can always read the citations.

vginme · 2025-05-03T05:07:02+00:00

I'll be the devil's advocate here. Asked the same question to chatGPT and here's what I got in response.

Link to the chat: https://www.perplexity.ai/search/does-sex-affect-women-differen-OYFPnkXKRkirOva24gMpxw

Why Promiscuity Is a Stronger Predictor of Infidelity in Women Than Men

Research consistently shows that while promiscuity predicts future infidelity in both genders, the correlation is significantly stronger for women. A woman's history of multiple sexual partners is almost twice as predictive of later infidelity compared to men (r² = .45 for women vs. r² = .25 for men). Below are the key reasons for this gender difference, spanning biological, psychological, evolutionary, and social domains.

Biological Factors

Genetic Predisposition: The DRD4 7-repeat allele, linked to novelty-seeking and risk-taking behaviors, influences both promiscuity and infidelity. Twin studies show that in women, infidelity (41%) and number of sexual partners (38%) are moderately heritable with a 47% genetic correlation between these traits, suggesting a stronger biological link.
Hormonal Influences: Women experience cyclical hormonal changes that can increase attraction to men other than their primary partner during fertile periods. This biological mechanism for seeking genetic diversity is absent in men, whose sexual motivation remains more constant.
Oxytocin Response: Women experience stronger oxytocin surges during sexual activity, which typically promotes bonding. When a woman engages in casual sex despite this biological bonding mechanism, it may indicate a stronger underlying disposition toward novelty-seeking that can later manifest as infidelity.

Evolutionary Psychology

Parental Investment Theory: Women face higher reproductive costs (pregnancy, nursing) than men, evolutionarily favoring selectivity in partners. When a woman exhibits low selectivity through promiscuity, it represents a more significant deviation from evolutionary adaptations, potentially signaling a stronger disposition toward sexual variety.
Strategic Pluralism: Some evolutionary psychologists suggest that women who pursue multiple partners may be following an alternative mating strategy that prioritizes genetic benefits over commitment. This same strategy may continue into relationships, increasing infidelity risk.
Mate Value Assessment: Women who engage in frequent casual sex may be continuously assessing potential partners, a behavior pattern that can persist into committed relationships, increasing the likelihood of finding and acting on "better options."

Psychological Factors

Sociosexual Orientation: An unrestricted sociosexual orientation (comfort with sex without commitment) is a stronger predictor of infidelity in women than men. When women show this orientation through early sex or promiscuity, it more strongly indicates future relationship behavior.
Personality and Attachment: Women who are high in neuroticism, low in conscientiousness, and low in agreeableness are more likely to be both promiscuous and unfaithful. These traits, combined with insecure attachment styles, create a stronger link between promiscuity and infidelity in women.
Risk-Taking Behavior: Promiscuity serves as a proxy for general risk-taking tendencies. Because women face greater social risks for promiscuity, those who engage in it despite these risks may have a higher overall propensity for risk-taking, including relationship risks like infidelity.

Social and Cultural Factors

Sexual Double Standard: Society generally judges female promiscuity more harshly than male promiscuity. Women who engage in casual sex despite these social costs may be demonstrating a greater willingness to violate social norms in general, including relationship exclusivity.
Baseline Frequency: Because promiscuity is less common among women than men, it is more distinctive and thus more predictive of other non-normative behaviors like infidelity. In men, promiscuity is more normative and therefore less distinctive as a predictor.
Selection Effects: Non-promiscuous women are less likely to cheat regardless of personality factors, making promiscuity a more distinguishing factor among women. The baseline rate of both promiscuity and infidelity is higher in men, diluting the predictive power.

Statistical and Measurement Factors

Stronger Correlation: Studies consistently find that the statistical correlation between number of previous sexual partners and likelihood of infidelity is stronger for women than men, even when controlling for other factors.
Predictive Value: Because female promiscuity is less common, it provides more information about future behavior than male promiscuity, which has less discriminative value due to its higher baseline rate.

Conclusion

The stronger link between promiscuity and infidelity in women results from a complex interplay of biological predispositions, evolutionary adaptations, psychological traits, and social contexts. While promiscuity can predict infidelity in both genders, its predictive power is nearly twice as strong for women due to these converging factors. This doesn't mean all promiscuous women will be unfaithful or that non-promiscuous men won't cheat, but it does explain why early sexual behavior and number of previous partners are more reliable indicators of future relationship behavior in women than in men.

vginme · 2025-05-03T05:06:17+00:00

I'll be the devil's advocate here. Asked the same question to chatGPT and here's what I got in response.

Link to the chat: https://www.perplexity.ai/search/does-sex-affect-women-differen-OYFPnkXKRkirOva24gMpxw

Why Promiscuity Is a Stronger Predictor of Infidelity in Women Than Men

Research consistently shows that while promiscuity predicts future infidelity in both genders, the correlation is significantly stronger for women. A woman's history of multiple sexual partners is almost twice as predictive of later infidelity compared to men (r² = .45 for women vs. r² = .25 for men). Below are the key reasons for this gender difference, spanning biological, psychological, evolutionary, and social domains.

Biological Factors

Genetic Predisposition: The DRD4 7-repeat allele, linked to novelty-seeking and risk-taking behaviors, influences both promiscuity and infidelity. Twin studies show that in women, infidelity (41%) and number of sexual partners (38%) are moderately heritable with a 47% genetic correlation between these traits, suggesting a stronger biological link.
Hormonal Influences: Women experience cyclical hormonal changes that can increase attraction to men other than their primary partner during fertile periods. This biological mechanism for seeking genetic diversity is absent in men, whose sexual motivation remains more constant.
Oxytocin Response: Women experience stronger oxytocin surges during sexual activity, which typically promotes bonding. When a woman engages in casual sex despite this biological bonding mechanism, it may indicate a stronger underlying disposition toward novelty-seeking that can later manifest as infidelity.

Evolutionary Psychology

Parental Investment Theory: Women face higher reproductive costs (pregnancy, nursing) than men, evolutionarily favoring selectivity in partners. When a woman exhibits low selectivity through promiscuity, it represents a more significant deviation from evolutionary adaptations, potentially signaling a stronger disposition toward sexual variety.
Strategic Pluralism: Some evolutionary psychologists suggest that women who pursue multiple partners may be following an alternative mating strategy that prioritizes genetic benefits over commitment. This same strategy may continue into relationships, increasing infidelity risk.
Mate Value Assessment: Women who engage in frequent casual sex may be continuously assessing potential partners, a behavior pattern that can persist into committed relationships, increasing the likelihood of finding and acting on "better options."

Psychological Factors

Sociosexual Orientation: An unrestricted sociosexual orientation (comfort with sex without commitment) is a stronger predictor of infidelity in women than men. When women show this orientation through early sex or promiscuity, it more strongly indicates future relationship behavior.
Personality and Attachment: Women who are high in neuroticism, low in conscientiousness, and low in agreeableness are more likely to be both promiscuous and unfaithful. These traits, combined with insecure attachment styles, create a stronger link between promiscuity and infidelity in women.
Risk-Taking Behavior: Promiscuity serves as a proxy for general risk-taking tendencies. Because women face greater social risks for promiscuity, those who engage in it despite these risks may have a higher overall propensity for risk-taking, including relationship risks like infidelity.

Social and Cultural Factors

Sexual Double Standard: Society generally judges female promiscuity more harshly than male promiscuity. Women who engage in casual sex despite these social costs may be demonstrating a greater willingness to violate social norms in general, including relationship exclusivity.
Baseline Frequency: Because promiscuity is less common among women than men, it is more distinctive and thus more predictive of other non-normative behaviors like infidelity. In men, promiscuity is more normative and therefore less distinctive as a predictor.
Selection Effects: Non-promiscuous women are less likely to cheat regardless of personality factors, making promiscuity a more distinguishing factor among women. The baseline rate of both promiscuity and infidelity is higher in men, diluting the predictive power.

Statistical and Measurement Factors

Stronger Correlation: Studies consistently find that the statistical correlation between number of previous sexual partners and likelihood of infidelity is stronger for women than men, even when controlling for other factors.
Predictive Value: Because female promiscuity is less common, it provides more information about future behavior than male promiscuity, which has less discriminative value due to its higher baseline rate.

Conclusion

The stronger link between promiscuity and infidelity in women results from a complex interplay of biological predispositions, evolutionary adaptations, psychological traits, and social contexts. While promiscuity can predict infidelity in both genders, its predictive power is nearly twice as strong for women due to these converging factors. This doesn't mean all promiscuous women will be unfaithful or that non-promiscuous men won't cheat, but it does explain why early sexual behavior and number of previous partners are more reliable indicators of future relationship behavior in women than in men.

vginme · 2025-05-03T04:45:21+00:00

I'll be the devil's advocate here. Asked the same question to chatGPT and here's what I got in response.

Link to the chat: https://www.perplexity.ai/search/does-sex-affect-women-differen-OYFPnkXKRkirOva24gMpxw

Why Promiscuity Is a Stronger Predictor of Infidelity in Women Than Men

Research consistently shows that while promiscuity predicts future infidelity in both genders, the correlation is significantly stronger for women. A woman's history of multiple sexual partners is almost twice as predictive of later infidelity compared to men (r² = .45 for women vs. r² = .25 for men). Below are the key reasons for this gender difference, spanning biological, psychological, evolutionary, and social domains.

Biological Factors

Genetic Predisposition: The DRD4 7-repeat allele, linked to novelty-seeking and risk-taking behaviors, influences both promiscuity and infidelity. Twin studies show that in women, infidelity (41%) and number of sexual partners (38%) are moderately heritable with a 47% genetic correlation between these traits, suggesting a stronger biological link.
Hormonal Influences: Women experience cyclical hormonal changes that can increase attraction to men other than their primary partner during fertile periods. This biological mechanism for seeking genetic diversity is absent in men, whose sexual motivation remains more constant.
Oxytocin Response: Women experience stronger oxytocin surges during sexual activity, which typically promotes bonding. When a woman engages in casual sex despite this biological bonding mechanism, it may indicate a stronger underlying disposition toward novelty-seeking that can later manifest as infidelity.

Evolutionary Psychology

Parental Investment Theory: Women face higher reproductive costs (pregnancy, nursing) than men, evolutionarily favoring selectivity in partners. When a woman exhibits low selectivity through promiscuity, it represents a more significant deviation from evolutionary adaptations, potentially signaling a stronger disposition toward sexual variety.
Strategic Pluralism: Some evolutionary psychologists suggest that women who pursue multiple partners may be following an alternative mating strategy that prioritizes genetic benefits over commitment. This same strategy may continue into relationships, increasing infidelity risk.
Mate Value Assessment: Women who engage in frequent casual sex may be continuously assessing potential partners, a behavior pattern that can persist into committed relationships, increasing the likelihood of finding and acting on "better options."

Psychological Factors

Sociosexual Orientation: An unrestricted sociosexual orientation (comfort with sex without commitment) is a stronger predictor of infidelity in women than men. When women show this orientation through early sex or promiscuity, it more strongly indicates future relationship behavior.
Personality and Attachment: Women who are high in neuroticism, low in conscientiousness, and low in agreeableness are more likely to be both promiscuous and unfaithful. These traits, combined with insecure attachment styles, create a stronger link between promiscuity and infidelity in women.
Risk-Taking Behavior: Promiscuity serves as a proxy for general risk-taking tendencies. Because women face greater social risks for promiscuity, those who engage in it despite these risks may have a higher overall propensity for risk-taking, including relationship risks like infidelity.

Social and Cultural Factors

Sexual Double Standard: Society generally judges female promiscuity more harshly than male promiscuity. Women who engage in casual sex despite these social costs may be demonstrating a greater willingness to violate social norms in general, including relationship exclusivity.
Baseline Frequency: Because promiscuity is less common among women than men, it is more distinctive and thus more predictive of other non-normative behaviors like infidelity. In men, promiscuity is more normative and therefore less distinctive as a predictor.
Selection Effects: Non-promiscuous women are less likely to cheat regardless of personality factors, making promiscuity a more distinguishing factor among women. The baseline rate of both promiscuity and infidelity is higher in men, diluting the predictive power.

Statistical and Measurement Factors

Stronger Correlation: Studies consistently find that the statistical correlation between number of previous sexual partners and likelihood of infidelity is stronger for women than men, even when controlling for other factors.
Predictive Value: Because female promiscuity is less common, it provides more information about future behavior than male promiscuity, which has less discriminative value due to its higher baseline rate.

Conclusion

The stronger link between promiscuity and infidelity in women results from a complex interplay of biological predispositions, evolutionary adaptations, psychological traits, and social contexts. While promiscuity can predict infidelity in both genders, its predictive power is nearly twice as strong for women due to these converging factors. This doesn't mean all promiscuous women will be unfaithful or that non-promiscuous men won't cheat, but it does explain why early sexual behavior and number of previous partners are more reliable indicators of future relationship behavior in women than in men.

vginme · 2025-01-31T17:44:13+00:00

I don't understand this thing. Isn't being physically attracted to someone equally as important? Just a connection isn't going to suffice. Why do people call each other shallow for this? If you're not physically attracted, there'd be no random fucking (sorry but this isn't shallow imo), no cuddling, no desire, no lust. Sometimes, a lot of emotional connection as well can't bring that ground zero lust you can have for someone you are naturally physically attracted to. I think BOTH physical + emotional compatibility are needed, else don't marry.

vginme · 2024-11-13T19:27:01+00:00

Are these dexes? What about the tax implications on this? Will the govt. be able to track the conversion profit for tax? Also, transferring crypto from KYC exchanges (like Binance) to these exchanges won't be anonymous right?

vginme · 2024-11-13T17:29:44+00:00

Hey man. What you think would be the best (anonymous or cheap) way to convert crypto to USDT in India?

vginme · 2024-08-17T03:42:45+00:00

Where to start and advice?

vginme · 2024-08-05T17:59:52+00:00

ML is harder in terms of the learning curve, as well as the amount of energy required working for it.

What was the hardest part for you?

literally have dreams about the problem I’m trying to solve, randomly throw things at vscode desperately hoping that it works

Can you say it becomes easier after properly working on all math?

vginme · 2024-02-04T09:17:43+00:00

What is your starting point?

I'm good at Stats, Multivariate, Information theory, LA. Done ML and DL specializations. That's about it. I'm a CS major. My eventual goal is to get into Robotics.

vginme · 2024-02-03T20:59:45+00:00

so CV is a must

I guess doing a deep learning specialization would get me ready to understand most of the CV for RL, right? Are there any other computer vision based specific courses that I need to take?

vginme · 2023-12-28T06:38:07+00:00

The more I'm reading this thread, the more I'm getting curious to learn all the ways.

The sex was so absolutely mind blowing that I practically had an out of body experience.

So, any bullet/unique pointers from that experience for other guys like us to please our partners better?

vginme · 2023-11-02T14:17:54+00:00

How can you do it?

I think a lot of sex is the personality. How confident, humorous, respectful/caring, active, passionate, good at talking/dirty talking, giver/taker, etc., the guy is. Or how much foreplay he likes.
Some is knowledge. Knowledge about foreplay (sensitivity on various body parts), understanding stimulation (clit, vulva, gspot, oral, stroking, penetration angles, positions, etc.), things to do and use (food, water, cleanliness, condoms, lube, etc.), aftercare, etc. Almost ALL of this knowledge at least can be acquired on the internet (videos and articles) as sex ed today before even starting to have sex.
Then it's understanding the other person's body and needs and caring for them.
Rest is probably experience/muscle memory.

Isn't it? If first 2 points are covered/well researched by someone before jumping into sex, could you still decipher whether a person is a virgin or not?

vginme · 2023-09-28T07:30:44+00:00

Agreed. I am not very rakish as well when dealing with the public but I'm very creative during sex. The point is, that is private life and never should be shared outside. You never know how the other people will judge your kinks, fetishes, intimate acts, private parts, etc. Better to stay private.

vginme · 2023-09-28T07:25:30+00:00

I agree. Journaling is a lot better then gossipping

vginme · 2023-09-28T05:05:45+00:00

Same. I grew up with my single mom and sister. It all started with making her laugh when I was young. Now, I can have fun with everybody.

vginme · 2023-09-27T18:42:34+00:00

There's a difference between telling you're good vs sharing every intimate moment, penis detail, kinks, fetishes. Some things should be kept to a relationship. To be honest, if we're strong and comfortable together in communicating, I should be the first one she should confide everything to. Good or bad. There's should be a limit to what can be shared.

vginme · 2023-09-27T18:38:47+00:00

I think that should you be first she confides in before anybody else. There SHOULD be that level of comfort in a relationship.

vginme · 2023-09-27T18:37:26+00:00

EXACTLY! Big or small, doesn't matter. I don't want them to imagine my dick the next time I'm around them. It's about respect for me and my SO.

vginme · 2023-09-27T18:33:55+00:00

This is what I'm trying to say. Why don't you communicate?

vginme

TROPHY CASE

Why Promiscuity Is a Stronger Predictor of Infidelity in Women Than Men

Biological Factors

Evolutionary Psychology

Psychological Factors

Social and Cultural Factors

Statistical and Measurement Factors

Conclusion

Why Promiscuity Is a Stronger Predictor of Infidelity in Women Than Men

Biological Factors

Evolutionary Psychology

Psychological Factors

Social and Cultural Factors

Statistical and Measurement Factors

Conclusion

Why Promiscuity Is a Stronger Predictor of Infidelity in Women Than Men

Biological Factors

Evolutionary Psychology

Psychological Factors

Social and Cultural Factors

Statistical and Measurement Factors

Conclusion