Complete Minds

Researchers at MindCart AI Inc, often use the phrase "cognitive richness" to describe the insight achievable through different experimental methods, where the purpose is to understand human cognition and behavior.

A/B testing, for example, yields insights that are low in cognitive richness - about 1%. That is, an A/B test tells us that there IS a difference between A and B, but it does not tell us WHY. The underlying motivations and the relevant patterns of thought are missing from the equation.

And yet, A/B testing is ubiquitous, in part due to its native availability in monopolistic technologies like Facebook and Google, but mainly due to a scientific fascination with significant differences.

Most researchers have an intellectual approach of "how is A better than B?" Not an engineering approach of how to solve problems, like how to get more people to take vaccines or how to encourage healthy eating patterns, but rather, what is needed to achieve significance?

Mind genomics offers a better way forward, with 99% cognitive richness rather than 1%. Insights produced by mind genomics are immediately digestible, without need for much more analysis, and therefore less additional inference beyond what the data presents.