Your Dating History Is a Dataset. Have You Ever Actually Analyzed It?
By Momar Lissa Ndiaye ("MLN"), Founder & CEO, weyoga Inc.
Ask someone to list their past relationships and they can usually do it in order, complete with rough duration and how each one ended. What almost no one does next is treat that list as a dataset — a series of trials, run under varying conditions, with a set of outcomes that might share a common structure worth examining.
This omission isn't laziness. It's that each individual relationship gets processed emotionally as its own singular story — this partner was different, this circumstance was unique — which makes it genuinely hard to step back and ask the more uncomfortable, more useful question: across every one of these singular stories, is there a variable that kept recurring regardless of who the partner was?
When people finally do this analysis — often only when prompted from outside — the results are frequently uncomfortable and frequently clarifying at the same time. A specific selection pattern, a specific point in the relationship where things reliably turned, a specific role one keeps ending up playing. None of this shows up from inside any single relationship. It only shows up across the set.
A dating history isn't just a personal narrative. It's the largest dataset most people will ever have about their own relational patterns, and it has been sitting unanalyzed the entire time, waiting for someone to actually look at it as a set rather than as a sequence of unrelated stories.
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Momar Lissa Ndiaye ("MLN") is the Founder & CEO of weyoga Inc., a Delaware company. — weyoga.ai · mln@weyoga.ai