Case studies of implementing Red Pill models.
Readership: All
Theme: Problems with The Red Pill / Misapplied Models
Note: Profiles are based on real people; the data and details are guesstimated.
Length: 800 words
Reading Time: 4 minutes
In this post, I’ll offer 3 case studies to lay out simplified examples of how Red Pill models are regularly used by laymen. The purpose is for readers to consider how these models might be misapplied.
Case Study 1 — Stacy Sidener
Data: Stacy is a 20 year old white female. She grew up in the northwest U.S.A. Her parents divorced when she was 12, and she has lived with her mother since then. She is an extroverted, outgoing socializer. She’s attending Beaver Valley Community College. She’s had (at least) 2 boyfriends during her freshman year. She initiated the break up with both. She also has an IG account with several hundred followers.
Hypothesis: Stacy is a carousel rider in the making.
Model: AF/BB
Prediction: Stacy will up her N count to 14 before she burns out. Then she’ll marry a Beta when she’s ~28. She’ll have 2 children and will divorce after 7 years. (Figures based on data used to form the AF/BB model.)
Results: (After 20 years) No data on total N count is available, but there is strong evidence for N > 4. Stacy married Billy Beta when she was 29. She had 1 girl and divorced after 6 years of marriage.
Conclusions: There are some deviations, but the model is confirmed.
Practical Applications: Don’t date or marry Stacy. Don’t be Billy Beta.
Case Study 2 — Francesca Flores
Data: Francesca is a 20 year old Hispanic female. She grew up in eastern Columbia. She was born while her mother was having an extended turbid affair with a local gang lord. She lives with her mother and younger brother, and she sees her father frequently — too frequently for her own peace of mind. She has many friends in her community, but is very close to only one other girl. She and her mother both work at a local textile mill during the day and sell homemade food in the evening. She is too busy to spend much time online. She has many men asking her for dates, but she is distrustful of men and wary of being taken advantage of. Her mother has warned her with tears to choose a man wisely.
Hypothesis: Francesca is too distrustful of men to successfully form a LTR. She is a side chick in the making.
Model: Gold Digger / Side Chick
Prediction: Francesca will eventually find a wealthy man to her liking, but he will be married or otherwise unavailable for a full commitment. She’ll have 2 children.
Results: (After 20 years) N count = 1. Francesca has had a long term relationship with a relatively wealthy businessman who supplies paper packaging for her mother’s food sales. She has 2 children with him and has been faithful to him, although not without regrets. Her man provides for her and her children’s needs, but is seldom present in her life.
Conclusions: There are some deviations, but the model is confirmed.
Practical Applications: Be a Columbian ganglord. Go into the paper packaging and distribution business.
Case Study 3 – Poon Tang
Data: Poon is a 20 year old Asian female. She grew up on a small island off the coast of Thailand. She has several brothers and sisters and lives with a large extended family, numbering almost two dozen individuals. Her family has one computer that everyone shares. She has an email account and a Facebook account. She is a quiet girl who likes to spend time outdoors. She did well in high school, but she has no plans to attend college.
Hypothesis: Poon is family-oriented, happy, and content.
Model: Trad Wife
Prediction: Poon will marry and have children early, and settle down into married life. She’ll have 4 children.
Results: (After 20 years) Total N count = 1. Poon met a fisherman who often came to the island to sell fish. She married him when she was 22. She continued to live at home with her family while her husband was gone fishing. She raised 6 children with the help of her family.
Conclusions: There are some deviations, but the model is confirmed.
Practical Applications: Visit SEA islands. Consider being a Thai fishmonger.
Conclusions
Okay, some of the suggested applications were satire. Even so, readers can see how these models can provide a framework in which a trajectory can be established, and red flags and potential pitfalls can be recognized early enough to conduct a reasonably valid risk vs return analysis, and to guide some decision-making. It is critically important to be certain that an appropriate model is chosen for the context in question. This is why it is said, “Watch what women do, not what they say.”
But of course, there’s always the chance that things could turn out differently.
Remember, purpose disintegrates in the absence of vision, and vice versa.
Related
- Σ Frame: 13 Disciplines in Dealing with Delectable Daughters (2018/1/29)
- Σ Frame: Teaching our daughters well is the early foundation of successful wife moulding (2020/2/14)
- Σ Frame: Parental Divorce Ruins Daughters’ Future Marital Commitment and Confidence (2021/2/24)
- Σ Frame: Those Old Notions of Equality (2023/12/25)
- Σ Frame: The Law of Sowing and Reaping (2024/1/5)
- Σ Frame: How Feminist Mothers create Feminist Daughters (2024/2/28)
