
📊Statistician, 👩🏻🏫Data Science Prof, ✍️Stats Communication. #statistics #scicomm #datascience #statstiktok 👩🏻💻 she/her
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Joined October 2011
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Chelsea Parlett retweeted
An analysis without business context is like an Oreo without filling. An analyst without business acumen is like a hamburger with no bun. And that's the topic of our latest episode. analyticshour.io/2026/01/20/…
I LOVE teaching introductory courses/topics but OH MY GOD is it fun to occasionally teach people who have an incredibly deep and rich background 😱
Chelsea Parlett retweeted
#rstats #statistics Open source book released!
At long last, I've released my new open source book, "Powered by Linear Algebra: the role of matrices and vector space in data science," at matloff.github.io/WackyLinea….
Turns the classic linear algebra course on its head! Still proves the theorems, but with a deep emphasis on applications.
The more I use LLMs to help me code (Claude, Chat, Cursor…) the more concerned I am with people who use it and don’t yet have the ability to check if the output is right😱
LLMs do a lot of inefficient and subtly wrong things😳
Me when I click on an ad for a website I was already going to go to, knowing the company probably uses LTA/MTA models and will misattribute my click as incremental 😈
Really interesting point👀 the structure and culture of work strongly predisposes us to spend MORE money (due to lack of time, energy, burnout, expectations about appearance…etc)
I’m especially proud of this article I wrote about Gaussian Processes for the @getrecast blog🥳
GPs are super interesting, but it’s not easy to wrap your head around them at first 🤔
This is more intuition than math introduction to GPs for time series
getrecast.com/gaussian-proce…
Chelsea Parlett retweeted
There's definitely variation across our episodes. We haven't deeply analyzed it, though. If we did, would we use ANOVA? Maybe. @ChelseaParlett joined us for a bit of stats talk on our latest episode. analyticshour.io/2025/08/05/…
Chelsea Parlett retweeted
There once was a model, ANOVA,
who along with their cousin ANCOVA,
made a great big confession:
“We’re the same as regression,
but we’ve established a separate persona.”
Chelsea Parlett retweeted
What are some of the unwritten rules of the academe?
[Motivation: I recently spoke with a grad student who expressed being jarred by all the academic social norms that aren't taught in grad training.]
Chelsea Parlett retweeted
I am pleased to announce a new version of my RL tutorial. Major update to the LLM chapter (eg DPO, GRPO, thinking), minor updates to the MARL and MBRL chapters and various sections (eg offline RL, DPG, etc). Enjoy!
arxiv.org/abs/2412.05265
*taps the sign*
A famous person wore a secret hidden wire while speaking with me about AI, and I want to talk about it.
Backstage at a recent AI event, I was talking with someone about private views on AI investments and strategy. We were both unfiltered. At one point, I joked, “We should’ve recorded this - we’re dropping gems!”
He tapped his chest. “Oh,” he said. “I’m always mic’d up.”
I laughed. “Wait, are you wearing a wire?”
“Yes.”
He had a secret mic under his shirt the whole time. No disclosure. No consent. Just recording.
I felt completely violated. Not because I said anything wrong, but because I didn’t choose to share it.
As I think about the future - AI-powered glasses like meta rayban, smart earbuds like airpods, recording necklaces like limitless - these are tools that serve their owner, while extracting data from everyone else nearby. The benefits are asymmetric. The consent is invisible.
We talk a lot about surveillance capitalism and corporate tracking. But I do think we’re also going to see both intentional and unintentional “interpersonal surveillance” (honestly it’s already happening now with friend search, purchases, and Bluetooth/WiFi tracking, and with people constantly filming everything in their lives on their phones).
The ones wielding the tech get a boost. Everyone else is turned into passive data sources.
If always-on wearables become the norm, I’m thinking we also see a new kind of social friction. People will retreat. Trust between friends will erode. And ironically, those recording everything might find themselves with fewer conversations in real life.
The cost of ambient AI might be wider than we first thought.














