C. Thi Nguyen

Yeah, it's a trade-off.

Yeah, so that is exactly the view that what you're getting

What quantitative data does and what quantitative data collection does is it trades away high context, high sensitivity, and multidimensionality in exchange for portability.

This is generally called the portability theory of data.

Right.

And so I think the same kind of thing that applies to

GPA applies to Rotten Tomatoes, right?

Like information that I have that I can put down qualitatively.

Like this student is not good at test taking, but incredibly good at community building and very original, but a little bit sloppy.

Like that's all important information, but that gets squashed out into a B, right?

A B does not carry that information.

But precisely because it's been squashed out, that's what makes it instantly comprehensible and that's what makes it instantly comprehensible and instantly aggregatable.

So the fact you can create a GPA out of many different judgments depends on us having stripped out all that complexity.

Same thing with Rotten Tomatoes, right?

I got it.

So value capture is any case where your values are rich and subtle or developing in that direction.

And then you get parked in an institutional setting that gives you a simplified, typically quantified rendition of those values.

and then you intake and let take over that simplified quantified version.

So like going to school, caring about education, coming out caring about GPA, starting to exercise, caring about health and fitness and coming out obsessed with like

step counts or weight or your body weight or BMI or going to social media to connect to people and becoming obsessed with likes and follows.