PicklePromise is built on decades of peer-reviewed research across relationship science, family psychology, legal outcomes, and demographic studies.
Dr. John Gottman's 40+ years of research identified four interaction patterns that predict relationship dissolution with 90%+ accuracy in longitudinal studies.
Contempt
Sarcasm, mockery, moral superiority, eye-rolling
Criticism
Attacking character vs. addressing specific behaviors
Defensiveness
Denial, counter-attacks, deflection, victimization
Stonewalling
Withdrawal, shutdown, silent treatment
Key Finding: Contempt is the single strongest predictor of divorce. When contempt becomes habitual, relationships rarely recover without professional intervention.
Multi-decade studies tracking children and adults post-divorce reveal persistent patterns in emotional, behavioral, and relationship outcomes.
Wallerstein Research (25-Year Study)
Amato Meta-Analyses
Hetherington Research
Key Finding: Effects persist 10-15 years post-divorce. The first 2 years are most critical for children's adjustment.
Large-scale population studies identify structural and demographic factors correlated with divorce rates across thousands of marriages.
Key Finding: These are correlations, not causes. Many marriages with these factors succeed; they represent elevated statistical risk.
Family court outcomes, custody patterns, and financial enforcement data reveal gaps between public expectations and legal realities.
Custody Patterns
Financial Enforcement
Property Division
Key Finding: Most people dramatically underestimate both the complexity and unpredictability of family court outcomes.
These findings represent population-level averages. Individual experiences vary significantly based on conflict level, co-parenting quality, financial resources, and support systems. High-conflict divorces show worse outcomes than low-conflict divorces across all metrics.
Each assessment domain directly maps to validated research streams. We don't invent risk factors—we identify patterns documented in peer-reviewed literature.
We measure correlation with population patterns, not individual prediction. Your score reflects research patterns, not your destiny.
All scoring logic is versioned, auditable, and explained. No "black box" algorithms. No machine learning. No hidden variables.
We avoid gendered blame narratives and moralistic language. Risk factors are presented as patterns, not character flaws.
Gottman, J. M., & Silver, N. (1999). The Seven Principles for Making Marriage Work.New York: Crown Publishers.
Wallerstein, J. S., Lewis, J. M., & Blakeslee, S. (2000). The Unexpected Legacy of Divorce.New York: Hyperion.
Amato, P. R. (2014). The consequences of divorce for adults and children: An update. Društvena istraživanja, 23(1), 5-24.
Hetherington, E. M., & Kelly, J. (2002). For Better or For Worse: Divorce Reconsidered.New York: W.W. Norton & Company.
Bramlett, M. D., & Mosher, W. D. (2002). Cohabitation, marriage, divorce, and remarriage in the United States. National Center for Health Statistics. Vital Health Statistics, 23(22).
Take the evidence-based assessment and understand your relationship risk factors.
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