A Relationship Generates More Behavioral Data in a Year Than Most People Ever Review in a Lifetime
By Momar Lissa Ndiaye ("MLN"), Founder & CEO, weyoga Inc.
A single year of an ordinary relationship generates an enormous volume of behavioral data: thousands of small interactions, hundreds of specific conflict-and-repair cycles, countless micro-decisions about attention, tone, and timing. Multiply this across a multi-year relationship and the resulting dataset dwarfs almost anything else a person will generate about their own behavior in any other domain of life.
And yet the amount of this dataset that ever actually gets reviewed — analyzed, aggregated, examined for trend — is, for the overwhelming majority of people, approximately zero. Not because the data isn't valuable, but because no habit, tool, or practice exists that treats a relationship's ordinary daily texture as something worth reviewing at all, rather than just living through.
This is a strange asymmetry, given how seriously data gets treated in nearly every other domain a person cares about — health metrics, financial records, even step counts get tracked and periodically reviewed. The single largest behavioral dataset most people will ever generate sits completely unexamined, by default, for an entire lifetime.
The data was never the scarce resource. Attention capable of reviewing it at scale was. That's a solvable gap, not a fact about how unknowable a relationship's own history has to remain.
Part of The Recognition Layer →
Momar Lissa Ndiaye ("MLN") is the Founder & CEO of weyoga Inc., a Delaware company. — weyoga.ai · mln@weyoga.ai