Bridging different approaches is also partially reflecting the kind of data that we work with now, thanks to changes in technology. And so, these traditional ways that quantitative scholars would design an experiment and it would have 200, 500 people in the sample, that's still going on. And that's still valuable. But, if we think about scraping social media posts, testing that in these traditional ways is ridiculous when you're talking about a million tweets. In many ways, we've left the realm of null hypothesis significance testing, in those context, to start looking at the patterns and the flows of data, the groups of people situated globally, and how those patterns manifest themselves.