This Datafloq article explores whether big data and predictive analytics can forecast marriage success. It discusses the collection of large longitudinal data sets, including social media patterns, personality assessments, and demographic factors. The article explains how machine-learning models, such as logistic regression and neural networks, can estimate probabilities of long-term marital stability. It also touches on limitations: human relationships’ complexity, cultural variation, and ethical concerns like privacy and algorithmic bias. While algorithms can detect patterns, the article notes that marriage outcomes remain uncertain, and data tools should supplement, not replace, personal judgment.
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