Really Specific Stories cover image

Really Specific Stories

Scott Willsey

Apr 8, 2024
47:47

Scott discusses his long history of listening to Apple-centric podcasts and what it has been like to co-host and produce his own podcasts. He also asserts the importance of accessibility and the benefits of listening to (and even being part of) a minority, citing lessons from the podcast Parallel and his childhood experience as an American living in Japan. Last, but not least, he asks us all to be more intentional in our media consumption and turns the tables in this very podcast.

This is the final episode of Really Specific Stories to be tied formally to a podcast case study in the PhD project.

Podcast case study: Parallel (listener)

Find Scott at scottwillsey.com.

Read a transcript of the episode as a styled PDF or in plain text.

Links and Show Notes

Podcast Voice 00:00:00

What the Listener Wants to Hear 00:14:35

This Stuff Does Matter to People 00:23:01

Enjoy the Learning Process 00:30:49

Be Intentional 00:37:24

  • The ‘1x train’ to which Scott refers is the shared preference of many podcast listeners to listen to audio at its original speed, rather than accelerating it or relying on algorithmic features to save time.
  • AirPods
  • YouTube

Turning the Tables 00:45:05

Credits

Recorded and edited by Martin Feld, using Audio Hijack and Ferrite Recording Studio

Martin’s edit in Ferrite

Original podcast theme music by Alex Canion

Contact

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode