The primary driver of biological age, derived from principal components of large datasets, increases linearly over time and resembles accumulated damage.

“when you look at the large data it it almost looks like there's a linear accumulation of damage in in so what we're doing now is we're trying to measure biologic age from large data sets like UK bioank uh and then we're breaking it down into principal components. And when you do that, a lot of the principal components don't track with aging. They track with sex or smoking or something else. Uh the ones that track with aging, usually there are a couple of them. One of them is the primary driver and it's kind of going up linearly and that looks like damage and that that's probably the main driver of aging.”