Who Ends Up Posting 1,000+ Times?

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or do you mean the message regarding the survey?
oh mb, nigga why are u online 24/7 true org member
 
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Introduction

In feedback on earlier surveys, several users asked whether high-activity posters differ from newer or less active users. To check this, I ran two identical surveys: one sent to users with <1K posts and one to users with >1K posts.

This thread shows only the differences between those two groups, where they’re meaningful. I’m not doing a separate write-up of the >1K results here.

For transparency, the full >1K survey results will be posted below via Google Forms, so anyone can inspect the raw distributions themselves.

1. Age​

Significant difference
  • <1K posts: ~90% under 21, heavily under 18
  • >1K posts:Older skew
    • Under 18 drops sharply
    • 18–25 dominates
    • Noticeable 26–30 presence
👉 High-posters are older on average, especially concentrated in 18–25.

2. Sex​

No difference
  • Both groups: ~100% male

3. Height​

Moderate but real difference
  • <1K: Balanced 170–189 cm distribution
  • >1K: Heavily concentrated in 180–189 cm
    • Taller on average
    • Fewer short respondents proportionally
👉 High-posters are taller on average.

4. Region​

Moderate difference
  • <1K: Strong North America + Western Europe
  • >1K: More Europe-heavy, especially:
    • Northern Europe
    • Eastern Europe
    • Southern Europe
👉 High-posters are less North-American, more European.

5. Ethnicity​

No major difference
  • Both: ~60–67% White
  • Similar minority distributions

6. Education​

Significant difference
  • <1K: Mostly secondary / high school
  • >1K:Much higher:
    • Some college ↑
    • Bachelor’s / Master’s ↑
👉 High-posters are more educated.

7. Work / Study Status​

Significant difference
  • <1K: Mostly students
  • >1K:
    • More “study + work”
    • More unemployed / NEET
    • Fewer pure students
👉 High-posters are less institutionally anchored.

8. Sexual Orientation​

No meaningful difference
  • ~90% heterosexual in both

9. Religion​

Significant difference
  • <1K: Christianity plurality
  • >1K:
    • Atheism + agnosticism dominate
    • Christianity lower
👉 High-posters are more secular / anti-religious.

10. Income​

Significant difference
  • <1K: Many “prefer not to say”
  • >1K:
    • More “below average”
    • Fewer “about average”
    • Slightly more “well below”
👉 High-posters are poorer relative to peers.

11. Financial Independence​

Large difference
  • <1K: Mostly “no”
  • >1K: Overwhelmingly not independent
    • “Partially” ↑
    • “Yes” still low
👉 High-posters are more financially dependent.

12. Social Class (Self-Perceived)​

Major inversion
  • <1K: Mostly middle class
  • >1K:
    • Middle class drops
    • Upper class ↑
    • Lower class ↑
👉 High-posters show class polarization.

13. Exercise​

Moderate difference
  • <1K: Majority exercise several times/week
  • >1K:
    • “Practically never” ↑
    • “Almost daily” ↓
👉 High-posters are less physically active.

14. Disabilities​

No difference
  • ~93–95% no disabilities

15. Hair Loss​

No major difference
  • Similar rates of loss / uncertainty

16. Plastic Surgery (Past)​

Significant difference
  • <1K: ~3% yes
  • >1K: 8.5% yes
👉 High-posters are more likely to have had surgery.

17. Plastic Surgery (Future)​

Significant difference
  • <1K: Mostly yes / maybe
  • >1K:
    • “Yes” ↑
    • “Maybe” still high
    • Fewer outright “no”
👉 High-posters are more committed, less ambivalent.

18. Body Weight​

No major difference
  • Both center on “about average”

19. Physical Conditions Affecting Interaction​

Moderate difference
  • <1K: ~14% yes
  • >1K: 17% yes
👉 Slightly higher impairment among high-posters.

20. Leaving Home Frequency​

Moderate difference
  • <1K: Mostly daily / weekly
  • >1K:
    • Slightly fewer daily outings
    • More respondents in monthly / rare categories
👉 High-posters leave home somewhat less often overall.

21. Mocked for Appearance​

Slight difference
  • <1K: “Never” ~30%
  • >1K: “Never” ~31%
  • The breakdown is very similar between groups.
👉 Differences are small and not clearly directional.

22. Appearance Meds / Supplements​

Moderate difference
  • <1K: Supplements dominant
  • >1K:
    • Prescription meds ↑
    • Total intervention ↑
👉 High-posters are more aggressive medically.

23. Substance Use​

No difference
  • ~15% yes in both

24. Upbringing​

No meaningful difference
  • ~75–78% two-parent households

25. Compliments​

Moderate difference
  • <1K: “Never” ~17%
  • >1K: “Never” 25%
👉 High-posters are more likely to report never receiving compliments.


26. Friends​

Moderate difference
  • <1K: ~82% yes
  • >1K: 69% yes
    • “No” + “online only” ↑
👉 High-posters are more likely to report no or online-only friendships.

27. Desire for Children​

Moderate difference
  • <1K: 84% yes
  • >1K: ~75% yes
👉 High-posters are slightly less likely to want children.

28. Seeking Relationships Abroad​

Moderate difference
  • <1K: ~49% yes
  • >1K: 54% yes
👉 High-posters are more willing to exit local dating markets.

29. Happiness​

Significant difference
  • <1K: Peaks at 5–6
  • >1K:Shifts downward
    • More 1–3
    • Fewer 7–8
👉 High-posters are less happy overall.

30. Sexual Partners​

Very large difference (distributional)
  • <1K: 63% zero
  • >1K: 64% zero BUT:
    • Paid sex ↑
    • Very high counts exist
👉 Same virginity rate, but polarization increases.

31. Romantic / Sexual Experience​

Moderate difference
  • >1K:
    • “No experience” ↑
    • Paid sex ↑
    • Rejection ↑
👉 High-posters skew more extreme at both ends.


32. Voice Satisfaction​

Significant difference
  • <1K: Neutral dominant
  • >1K: “Dislike (high-pitched)” ↑ sharply
👉 High-posters are more self-critical.

33. Interaction With Women​

Large difference
  • <1K: Daily / weekly dominant
  • >1K:
    • Rarely + never: ~42%
👉 High-posters report noticeably less frequent interaction with women.

34. Time Spent on Forum​

Large difference
  • <1K: Mostly non-daily
  • >1K:
    • 3–6h + 6h ↑
👉 High-posters spend more time on the forum overall, with a heavier tail of very high-use users.

35. Posting Frequency​

Obvious difference (by definition)
  • >1K: 26% post 50+ times/week

36. Sentiment Toward Women​

Large difference
  • <1K: 22% negative
  • >1K: 32% negative
👉 High-posters express more negative sentiment toward women.

37. Penis Size Satisfaction​

Slight difference
  • <1K: 63% satisfied
  • >1K: 59% satisfied
👉 High-posters report lower satisfaction than <1K, but a majority (~59%) are still satisfied.

38. Autism Spectrum​

Moderate difference
  • <1K: ~9% diagnosed
  • >1K: 13% diagnosed
  • Unsure ↑ strongly
👉 Neurodivergence more common or more suspected.

39. Appearance Improvement​

Moderate difference
  • <1K: Mostly “a little bit”
  • >1K: Higher reports of improvement overall
👉 High-posters report greater appearance improvement overall, with more respondents reporting large gains.

40. Treated Better After Improvement​

Opposite perception
  • <1K: 86% say yes
  • >1K: 82% say yes but:
    • More skepticism
    • Higher “no”
👉 High-posters are less convinced improvement pays off.

41. Bullying​

Moderate difference
  • Both high childhood bullying
  • >1K: Teen bullying ↑
  • Adult bullying slightly ↑

42. Anger / Hostility​

Moderate difference
  • <1K: “Often + always” ~35%
  • >1K: “Often + always” ~40%
👉 High-posters are slightly angrier.

43. Self-Rating (1–10)​

Shift upward paradox
  • >1K: More 6s and 7s
  • Fewer 1–2s
👉 High-posters are more confident cognitively, not emotionally.

44. Forum Sentiment​

Very large difference
  • <1K: 53% say declining
  • >1K: 70% say declining
👉 High-posters are deeply disillusioned.

45. Recommendation​

Major inversion
  • <1K: 26% yes
  • >1K: 19% yes
  • “No” ↑ sharply

46. Discovery Source​

Significant difference
  • <1K: TikTok dominant
  • >1K:
    • TikTok ↓
    • YouTube, search, legacy forums ↑
👉 High-posters entered earlier, slower pipelines.




View attachment 4450713
What the data actually shows about >1K posters

Not here to moralize, just looking at what actually separates people here. The question is: what kind of selection process produces someone who hits 1000+ posts?

The data suggests high-posters aren't just "more engaged normies"; they're a functionally different population. Here's what separates them:

Social isolation is way more pronounced.
High-posters are older, spend more time here, interact with women less, and are less socially connected. Classic substitution pattern: the forum isn't supplementing their social life, it's increasingly becoming it.

Mental state is noticeably darker.
Lower happiness, higher anger/hostility, more frequent mockery of others, and more negative sentiment toward women But here's the twist: self-ratings don't tank. Most still rate themselves average-to-above. Translation: the bitterness is outward-facing, not just self-hatred spiraling.

Looksmaxxing effort goes up, faith in it goes down.
More prescriptions, more surgeries considered/done, bigger reported improvements. But also way more skepticism that any of it actually changes how people treat them. Diminishing returns in action-- the more you invest, the less each gain seems to matter.

Romantic outcomes don't improve, they polarize.
Virgin rates stay similar, but high-posters show more extremes: more escortcelling, more rejection stories, more complete isolation, and a small minority with unusually high counts. It's not a linear progression upward, it's forking into opposite ends.

Long-term users are blackpilled on the forum itself.
Despite being the most active, they're more likely to say it's declining and less likely to recommend it. They're not here because it's working-- they're here because everything else feels worse or nonexistent.

The model that fits best: selection + reinforcement loop
  • Guys who are reasonably integrated socially or see early wins tend to leave
  • Guys who are isolated, stuck, or frustrated stay and post heavily
  • Over time, high activity becomes less a success metric and more a marker of being trapped
Causation probably runs both ways. Posting a lot may make things worse, but these traits also predict who becomes a high-poster in the first place. Either way, post count ends up being one of the strongest dividing lines in our userbase.



TLDR: >1K posters are more isolated, more bitter, looksmax harder while believing in it less, and have worse outcomes. Post count tracks who's trapped here, not who's making it.

Complete survey results (>1K users) are available here:

haha fun to see the survery
 
Introduction

In feedback on earlier surveys, several users asked whether high-activity posters differ from newer or less active users. To check this, I ran two identical surveys: one sent to users with <1K posts and one to users with >1K posts.

This thread shows only the differences between those two groups, where they’re meaningful. I’m not doing a separate write-up of the >1K results here.

For transparency, the full >1K survey results will be posted below via Google Forms, so anyone can inspect the raw distributions themselves.

1. Age​

Significant difference
  • <1K posts: ~90% under 21, heavily under 18
  • >1K posts:Older skew
    • Under 18 drops sharply
    • 18–25 dominates
    • Noticeable 26–30 presence
👉 High-posters are older on average, especially concentrated in 18–25.

2. Sex​

No difference
  • Both groups: ~100% male

3. Height​

Moderate but real difference
  • <1K: Balanced 170–189 cm distribution
  • >1K: Heavily concentrated in 180–189 cm
    • Taller on average
    • Fewer short respondents proportionally
👉 High-posters are taller on average.

4. Region​

Moderate difference
  • <1K: Strong North America + Western Europe
  • >1K: More Europe-heavy, especially:
    • Northern Europe
    • Eastern Europe
    • Southern Europe
👉 High-posters are less North-American, more European.

5. Ethnicity​

No major difference
  • Both: ~60–67% White
  • Similar minority distributions

6. Education​

Significant difference
  • <1K: Mostly secondary / high school
  • >1K:Much higher:
    • Some college ↑
    • Bachelor’s / Master’s ↑
👉 High-posters are more educated.

7. Work / Study Status​

Significant difference
  • <1K: Mostly students
  • >1K:
    • More “study + work”
    • More unemployed / NEET
    • Fewer pure students
👉 High-posters are less institutionally anchored.

8. Sexual Orientation​

No meaningful difference
  • ~90% heterosexual in both

9. Religion​

Significant difference
  • <1K: Christianity plurality
  • >1K:
    • Atheism + agnosticism dominate
    • Christianity lower
👉 High-posters are more secular / anti-religious.

10. Income​

Significant difference
  • <1K: Many “prefer not to say”
  • >1K:
    • More “below average”
    • Fewer “about average”
    • Slightly more “well below”
👉 High-posters are poorer relative to peers.

11. Financial Independence​

Large difference
  • <1K: Mostly “no”
  • >1K: Overwhelmingly not independent
    • “Partially” ↑
    • “Yes” still low
👉 High-posters are more financially dependent.

12. Social Class (Self-Perceived)​

Major inversion
  • <1K: Mostly middle class
  • >1K:
    • Middle class drops
    • Upper class ↑
    • Lower class ↑
👉 High-posters show class polarization.

13. Exercise​

Moderate difference
  • <1K: Majority exercise several times/week
  • >1K:
    • “Practically never” ↑
    • “Almost daily” ↓
👉 High-posters are less physically active.

14. Disabilities​

No difference
  • ~93–95% no disabilities

15. Hair Loss​

No major difference
  • Similar rates of loss / uncertainty

16. Plastic Surgery (Past)​

Significant difference
  • <1K: ~3% yes
  • >1K: 8.5% yes
👉 High-posters are more likely to have had surgery.

17. Plastic Surgery (Future)​

Significant difference
  • <1K: Mostly yes / maybe
  • >1K:
    • “Yes” ↑
    • “Maybe” still high
    • Fewer outright “no”
👉 High-posters are more committed, less ambivalent.

18. Body Weight​

No major difference
  • Both center on “about average”

19. Physical Conditions Affecting Interaction​

Moderate difference
  • <1K: ~14% yes
  • >1K: 17% yes
👉 Slightly higher impairment among high-posters.

20. Leaving Home Frequency​

Moderate difference
  • <1K: Mostly daily / weekly
  • >1K:
    • Slightly fewer daily outings
    • More respondents in monthly / rare categories
👉 High-posters leave home somewhat less often overall.

21. Mocked for Appearance​

Slight difference
  • <1K: “Never” ~30%
  • >1K: “Never” ~31%
  • The breakdown is very similar between groups.
👉 Differences are small and not clearly directional.

22. Appearance Meds / Supplements​

Moderate difference
  • <1K: Supplements dominant
  • >1K:
    • Prescription meds ↑
    • Total intervention ↑
👉 High-posters are more aggressive medically.

23. Substance Use​

No difference
  • ~15% yes in both

24. Upbringing​

No meaningful difference
  • ~75–78% two-parent households

25. Compliments​

Moderate difference
  • <1K: “Never” ~17%
  • >1K: “Never” 25%
👉 High-posters are more likely to report never receiving compliments.


26. Friends​

Moderate difference
  • <1K: ~82% yes
  • >1K: 69% yes
    • “No” + “online only” ↑
👉 High-posters are more likely to report no or online-only friendships.

27. Desire for Children​

Moderate difference
  • <1K: 84% yes
  • >1K: ~75% yes
👉 High-posters are slightly less likely to want children.

28. Seeking Relationships Abroad​

Moderate difference
  • <1K: ~49% yes
  • >1K: 54% yes
👉 High-posters are more willing to exit local dating markets.

29. Happiness​

Significant difference
  • <1K: Peaks at 5–6
  • >1K:Shifts downward
    • More 1–3
    • Fewer 7–8
👉 High-posters are less happy overall.

30. Sexual Partners​

Very large difference (distributional)
  • <1K: 63% zero
  • >1K: 64% zero BUT:
    • Paid sex ↑
    • Very high counts exist
👉 Same virginity rate, but polarization increases.

31. Romantic / Sexual Experience​

Moderate difference
  • >1K:
    • “No experience” ↑
    • Paid sex ↑
    • Rejection ↑
👉 High-posters skew more extreme at both ends.


32. Voice Satisfaction​

Significant difference
  • <1K: Neutral dominant
  • >1K: “Dislike (high-pitched)” ↑ sharply
👉 High-posters are more self-critical.

33. Interaction With Women​

Large difference
  • <1K: Daily / weekly dominant
  • >1K:
    • Rarely + never: ~42%
👉 High-posters report noticeably less frequent interaction with women.

34. Time Spent on Forum​

Large difference
  • <1K: Mostly non-daily
  • >1K:
    • 3–6h + 6h ↑
👉 High-posters spend more time on the forum overall, with a heavier tail of very high-use users.

35. Posting Frequency​

Obvious difference (by definition)
  • >1K: 26% post 50+ times/week

36. Sentiment Toward Women​

Large difference
  • <1K: 22% negative
  • >1K: 32% negative
👉 High-posters express more negative sentiment toward women.

37. Penis Size Satisfaction​

Slight difference
  • <1K: 63% satisfied
  • >1K: 59% satisfied
👉 High-posters report lower satisfaction than <1K, but a majority (~59%) are still satisfied.

38. Autism Spectrum​

Moderate difference
  • <1K: ~9% diagnosed
  • >1K: 13% diagnosed
  • Unsure ↑ strongly
👉 Neurodivergence more common or more suspected.

39. Appearance Improvement​

Moderate difference
  • <1K: Mostly “a little bit”
  • >1K: Higher reports of improvement overall
👉 High-posters report greater appearance improvement overall, with more respondents reporting large gains.

40. Treated Better After Improvement​

Opposite perception
  • <1K: 86% say yes
  • >1K: 82% say yes but:
    • More skepticism
    • Higher “no”
👉 High-posters are less convinced improvement pays off.

41. Bullying​

Moderate difference
  • Both high childhood bullying
  • >1K: Teen bullying ↑
  • Adult bullying slightly ↑

42. Anger / Hostility​

Moderate difference
  • <1K: “Often + always” ~35%
  • >1K: “Often + always” ~40%
👉 High-posters are slightly angrier.

43. Self-Rating (1–10)​

Shift upward paradox
  • >1K: More 6s and 7s
  • Fewer 1–2s
👉 High-posters are more confident cognitively, not emotionally.

44. Forum Sentiment​

Very large difference
  • <1K: 53% say declining
  • >1K: 70% say declining
👉 High-posters are deeply disillusioned.

45. Recommendation​

Major inversion
  • <1K: 26% yes
  • >1K: 19% yes
  • “No” ↑ sharply

46. Discovery Source​

Significant difference
  • <1K: TikTok dominant
  • >1K:
    • TikTok ↓
    • YouTube, search, legacy forums ↑
👉 High-posters entered earlier, slower pipelines.




View attachment 4450713
What the data actually shows about >1K posters

Not here to moralize, just looking at what actually separates people here. The question is: what kind of selection process produces someone who hits 1000+ posts?

The data suggests high-posters aren't just "more engaged normies"; they're a functionally different population. Here's what separates them:

Social isolation is way more pronounced.
High-posters are older, spend more time here, interact with women less, and are less socially connected. Classic substitution pattern: the forum isn't supplementing their social life, it's increasingly becoming it.

Mental state is noticeably darker.
Lower happiness, higher anger/hostility, more frequent mockery of others, and more negative sentiment toward women But here's the twist: self-ratings don't tank. Most still rate themselves average-to-above. Translation: the bitterness is outward-facing, not just self-hatred spiraling.

Looksmaxxing effort goes up, faith in it goes down.
More prescriptions, more surgeries considered/done, bigger reported improvements. But also way more skepticism that any of it actually changes how people treat them. Diminishing returns in action-- the more you invest, the less each gain seems to matter.

Romantic outcomes don't improve, they polarize.
Virgin rates stay similar, but high-posters show more extremes: more escortcelling, more rejection stories, more complete isolation, and a small minority with unusually high counts. It's not a linear progression upward, it's forking into opposite ends.

Long-term users are blackpilled on the forum itself.
Despite being the most active, they're more likely to say it's declining and less likely to recommend it. They're not here because it's working-- they're here because everything else feels worse or nonexistent.

The model that fits best: selection + reinforcement loop
  • Guys who are reasonably integrated socially or see early wins tend to leave
  • Guys who are isolated, stuck, or frustrated stay and post heavily
  • Over time, high activity becomes less a success metric and more a marker of being trapped
Causation probably runs both ways. Posting a lot may make things worse, but these traits also predict who becomes a high-poster in the first place. Either way, post count ends up being one of the strongest dividing lines in our userbase.



TLDR: >1K posters are more isolated, more bitter, looksmax harder while believing in it less, and have worse outcomes. Post count tracks who's trapped here, not who's making it.

Complete survey results (>1K users) are available here:

thats interesting lol
 
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