A high number of measurements (M) on an individual is crucial for understanding intervention impact, in addition to a high number of participants (N).

“People think about science from like what's the N number? And for anyone listening at home who doesn't know that term, it's essentially the amount of participants in a study. And so the more participants, the more generally the scientific community views it as positive because you've got more data points to reference. It's like that is a great way. Also, it's almost like we need another n of uh number which is like on a person how many measurements were you doing? M so like even in a study if you have like n of you know thousand but you've only measured one thing we don't really know the impact of what that thing did on all these other things.”