You can do a lot with the 1% sample - indeed you would probably want to filter it further, both because retrieved streams count toward your monthly tweet cap (2 million/mo on the best non-academic free tier, I think 5m or 10m month if you are a postgrad w/institutional affiliation), and because the filtering capabilities are pretty rich. An obvious use case is tracking big political or industrial influencers and estimating their reach and peer cohort by looking at different kinds of engagement they get.
