The Test Set by Posit
Claim This Podcastby Posit, PBC
Podcast Overview
<p>A Posit podcast for data science junkies, anomaly hunters, and those who play outside the confidence interval. Hosted by Michael Chow, with co-hosts Wes McKinney & Hadley Wickham.</p>
Language
🇺🇲
Publishing Since
6/30/2025
Reach the team behind The Test Set by Posit
Verified contact details for this show aren't on file yet — sign up to get notified when they land.
Recent Episodes
June 15, 2026
The Bothness of It — with Alex Hillman
Alex Hillman and hosts Michael, Wes, and Hadley explore marketing for the reluctant, AI's impact on relationships, and the pre-coding challenges of AI-assisted development.
June 1, 2026
The Code Doesn't Lie — with Mike Bostock
Host Mike Bostock shares insights on the evolution of data visualization, open-source motivation, and AI limitations in this interview.
May 18, 2026
The Wonder-Driven Builder — with Paige Bailey
Host Alex Dobbs interviews Google DeepMind's Paige Bailey about her journey from geophysics to AI and the power of curiosity in a rapidly evolving tech landscape.
24 total episodes available with 18 transcripts
Recent guests on The Test Set by Posit
Guests from recent episodes — sign up to see every guest that has ever appeared on this show.
Alex Hillman
Guest
Mike Bostock
Guest
Paige Bailey
Guest
Vincent Warmerdam
Guest
Benn Stancil
Guest
Tristan Handy
Guest
Nell Thomas
Guest
Phillip Cloud
Guest
Charlie Marsh
Guest
Alenka Frim
Guest
Emily Riederer
Guest
Rebecca Barter
Guest
Similar Podcasts
Discover related shows you might enjoy
R Weekly Highlights
Eric Nantz
Freakonomics Radio
Freakonomics Radio + Stitcher
Hard Fork
The New York Times
The Daily
The New York Times
The Ezra Klein Show
New York Times Opinion
This American Life
This American Life
Pod Save America
Pod Save America
The Bill Simmons Podcast
The Ringer
Wirtschaft und Gesellschaft
Deutschlandfunk
Deep-dive analytics for The Test Set by Posit
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is The Test Set by Posit?
<p>A Posit podcast for data science junkies, anomaly hunters, and those who play outside the confidence interval. Hosted by Michael Chow, with co-hosts Wes McKinney & Hadley Wickham.</p> - How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.