29 episoder
- Ruth Milligan has coached hundreds of conference speakers, curates TEDx Columbus, and wrote The Motivated Speaker. She's here to tell you that speaking is habitual, not natural. Michael, Wes, and Hadley get a live fifteen-second filler word hack, an uncomfortable truth about listening back to your own voice, and the three kinds of pitches Ruth has been reading for seventeen years.
What's inside
Why a great idea beats a great speaker
Speaking is habitual, not natural, and that’s good
The fifteen-second breathing trick to kill fillers
How many charts do you need? Fewer than you think
The three pitches Ruth has read for seventeen years
You can't get better until you listen to yourself
Hadley contends people who send voice memos are monsters
Mentioned in this episode
Patsy Rodenburg's "Three Circles of Energy" — a summary of the framework
Rébecca Kleinberger, "Why you don't like the sound of your own voice" (TED) - Trevor Manz went from measuring plant apertures by hand in a wet lab to building the notebook that lets coding agents take the wheel. The creator of anywidget and founding engineer at marimo (marimo.io/pair) popped into The Test Set to spill on reactive notebooks, why marimo pair threw out every MCP tool but one, and what agents really want out of a data environment. This conversation also features a jacket bouncer, a hidden Python API, and Michael's slow-motion war with the word "marimo."
What's inside:
Cell order doesn't matter in a reactive Python notebook
Wet-lab pipettes and Harvard's visualization group, via Raspberry Pi
The problem with building beautiful tools nobody actually uses
The reason marimo pair deleted every agent tool but one
Code mode: the hidden API humans aren't supposed to touch
What happens when you ship the API your LLM hallucinated - Leilani Battle studies how software shapes what we see and believe. The University of Washington professor and co-director of the UW Interactive Data Lab talks with Michael, Hadley, and Wes about an experiment that manipulated people using nothing but loading speed, and why AI models don't seem to recommend charts the way the community that studies charts actually does. Other highlights: rationality's blind spots and a thorough disc golf origin story.
What's inside:
Loading spinners that quietly change what people find
AI models that don't recommend charts like humans do
The blurry line between databases and human factors
A behavior-change experiment for building fairer models
Rationality's role in producing unethical outcomes
Disc golf origin story
A vegan pancake recipe - Joe Cheng is the CTO of Posit and the creator of Shiny. He joins Michael and Hadley to talk about why he almost walked away from AI work entirely over ethics concerns and what it takes to lead a team that didn't necessarily choose you. Plus, why saying yes to everyone is a worse strategy than it sounds. Bonus: Hadley calls out Joe's people-pleasing in real time.
What's inside:
Joe's 2012 self-doubt spiral that accidentally created Shiny
Why Joe almost quit working on AI entirely
The "loaded guns" problem with releasing AI tools
Hadley's blunt leadership style vs. Joe's people-pleasing
Nobody actually wanted to make Joe CTO?
Joe's take on curiosity, duty, and fear as motivators - Caitlin Colgrove is the CTO of Hex, the data workspace for building and sharing data projects using SQL and Python that somehow counts a Sweetgreen chef as a power user. She joins Michael, Hadley, and Isabel to talk about what AI agents actually get wrong in data work (it's not the hallucinations, it's supreme overconfidence), why data teams aren't going anywhere, and how she thinks about building products for humans and agents at the same time.
What's inside
What Hex's Context Studio does, and why it's a data team's new job
More code is now written in Hex by agents than by humans
"My job is to vouch for the correctness of the answer" — redefining the data team
The vibe-coded CEO PR is coming for your data team (if it hasn’t already)
Soulsborne games as couple's therapy, aka, the Elden Ring co-op report
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Om The Test Set by Posit
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.
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