AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Moldovan Food
Christian Vantassel says the food in Moldova wowed him. "It was maybe the best food of any place that I've traveled And I came I was coming from Paris"
“Travel has become a way to remind myself how it feels to get lost, and then get unlost. It is a way to remember the discomfort of uncertainty and the unfamiliar. It’s an exercise in receiving the unexpected.” –Kristin Van Tassel
In this episode of Deviate, Rolf and Kristin discuss being in DC, living in Kansas, and Kristin’s family trip to Mexico using migrant-economy buses (1:30); how seeking international restaurants and grocery stores at home can be a window into distant cultures (8:00); Kristin’s motivation to learn Spanish in middle age, and how it connects to her perspective as a teacher (16:00); Kristin’s harrowing experience of getting lost on a run in Nairobi in 1990, and how getting lost in a place is a way of experiencing it in a deeper way (20:30); how Kristin experienced the country and culture of Moldova through soups and salads while being hosted there by a former student (34:30); and how to stay open to being lost without compromising yourself, and embrace unfamiliar languages as a traveler and learner (41:00).
Kristin Van Tassel teaches writing and American literature at Bethany College in Lindsborg, Kansas. She writes essays and poetry about place, teaching, motherhood, and travel.
Notable Links:
The Deviate theme music comes from the title track of Cedar Van Tassel’s 2017 album Lumber.
Note: We don’t host a “comments” section, but we’re happy to hear your questions and insights via email, at deviate@rolfpotts.com.
Listen to all your favourite podcasts with AI-powered features
Listen to the best highlights from the podcasts you love and dive into the full episode
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
Listen to all your favourite podcasts with AI-powered features
Listen to the best highlights from the podcasts you love and dive into the full episode