Emily Riederer

Emily Riederer

@emilyriederer.bsky.social

Here for data, data science, analytics engineering, rstats, books

9.5K followers4.2K following740 posts

Emily Riederer reposted

Replying to @emilyriederer.bsky.social

Ok, this is just an absolute homerun of a BigQuery error message. Speaks to all of our favorite debugging technique: Have you considered seeing if by magic running the **exact** same thing again works better the next time? And it did! 66/

Emily Riederer reposted

I spent a half hour trying to figure out the right way to formulate a paragraph for my book's introduction and when it finally clicked into place, I literally clapped my hands and said "that's it!" out loud. That's the kind of pure nerdy excitement that AI steals from us.

Emily Riederer reposted

Replying to @masnick.com

... the answer is to not use platforms like Insta, and bring communities to social media built on open protocols, such as atproto or ActivityPub, where the account holder has way more control.

Emily Riederer reposted

One more thought on the whole "people going back to X" thing. I'm obviously quite biased, but I really think that atproto (which powers Bluesky and others) is about building a better internet in so many ways. But that requires people to use it. The answer to that is to build something better...

Running a GCP job for which I clearly did not provision enough RAM and somehow filled with the same manager guilt of when you realize someone on your team is too stretched I’m sorry, computer. I did not enable you with the necessary tools to succeed here

Emily Riederer reposted

I'm speaking at the NYC Statistical Computing Meetup about @grantwitness.org: how we use modern #rstats stack to produce trustworthy, reproducible, rapid data that powers activism, litigation, and journalism. Join us in-person @ NYU or online. Mon, Oct 19 at 7PM! www.meetup.com/nyhackr/even... 🧪

meetup.comGrant Witness: An R-Powered Research and Advocacy Enterprise, Mon, Oct 19, 2026, 7:00 PM | Meetup**[External registration](https://nyhackr.org/?utm_source=nyhackr)** required at **[nyhackr](https://nyhackr.org/?utm_source=nyhackr)**. This month we have Noam Ross retur

In an icebreaker a few weeks ago, our team was sharing pet peeves and an early-20s said API 429 errors. Not API errors but specifically status code 429 (too many requests) and I'm still thinking about it If that somehow isn't a metaphor for early 20s exuberance.. your 30s are all 500s

Sometimes during the day I make a note on my PostIt note to-do list that is just to remind me to add something to my running Google Doc to-do list. This is either very organized or very chaotic and I’m not even sure which anymore

The eternal question in data is "what is the denominator" and man does Gemini make silly choices. Asked how common an injury is, one might assume I meant *in people* but am given two rates: - % of injury among all hamstring injuries - % of injury among those who have half of the injury 🤷‍♀️

This but for all ideas. Shocking how many can fit in a 300-char post (or a pumpkin!) if you put your mind to the key idea.

Open Research, University of Aberdeen@openresearchuoa.bsky.social

It's the official start of Spooky Season, so it is once again time for our annual 'Carve your PhD' pumpkin (or neep) carving contest for PGRs. Using the medium of the pumpkin, express the main idea of your thesis. Get creative! Have fun! Full details at abdn.site/phD

Apparently I talk about knowing “what good looks like” too much because I started to say this today and my team finished my sentence 😳 That said, so glad to have “grown up” when #rstats was all about talking about tacit knowledge and workflows and the joy of setting things up nicely

Emily Riederer@emilyriederer.bsky.social

Sidenote: this all illustrates an recurrent fascination of mine -- how often the blocked to good work is never having gotten to see "what good looks like" like if you've never seen a of datamart or an orchestrator, this feels reasonable. And DE has far fewer public examples than DS 12/

Emily Riederer reposted

Bluesky, the app for books

Kate Elliott@kateelliottsff.bsky.social

I am not first and will be far from the last to say this: I have purchased so many books because I saw them recommended or publicized here on bsky. I cannot urge you all enough to KEEP TALKING ABOUT BOOKS. I know it's easier to talk up someone else's book, but this also means you, the shy author.

Had so much fun chatting with @lucystats.bsky.social and @sarahlotspeich.bsky.social about gnarly real world data wrangling — from elections to EHRs and beyond! Show link below! Meanwhile, I’m live-posting of my latest civic data eng sidequests here bsky.app/profile/emil...

Lucy D’Agostino McGowan@lucystats.bsky.social

🎙️ Today on Regression to the Mean Girls @sarahlotspeich.bsky.social & I chat with the amazing @emilyriederer.bsky.social about a deep dive into election data! We chat data quality! Headless browser automation! Connections to EHR data! It’s great.

Yes, I would judge you for bringing iced coffee to an interview. But only because diluting previously hot brewed coffee with ice cubes is definitionally weak. Bring cold brew to show me you understand good things take time and are worth upfront investment. That’s a builder mindset

CFP for @causalscience.org closes on Wed! Selfish reminder to submit so I can watch your talk 🍿 Also remember to register; always closes before conf! IMHO everything you need to know about any flavor of DS can be learned from causal thinking (One day I will finish my drafted post on this... 🤦‍♀️) 1/

Paul Hünermund@p-hunermund.com

🧵1/4 📢 Call for submissions: Causal Data Science Meeting 2026 Join researchers and practitioners from academia and industry for a virtual meeting on Nov 4–5, 2026, exploring the role of causality in machine learning and AI. #CDSM2026

(...but in short: how to ask questions that matter AND that you can aswers, population matters, info isn't just tabular data, dealing w uncertainty when no ground truth, risk/assumption acceptance + bounding, how to share abstractions across fields and mix methods, etc.) 2/2

There's something really beautiful about canonical mathematical models or analytical frameworks (L-V in diffeq, epi study designs, etc.) Just a testament the extent to which all our x-discipline problems are the same at some level of abstraction and the power of taxonomizing / naming them

Chuliang Song@clsong.com

A wonderful review by Stefano on 100 years of Lotka–Volterra models. Don’t miss the incredibly detailed Supplement, truly the “War and Peace” of LV models. I really wish it had existed when I was a grad student! doi.org/10.1146/annu...

Usually vote by mail but changed things up this year to be in the first ~350k midterm voters!

Michael McDonald@electproject.bsky.social

#earlyvote morning update 9/25: at least 282,490 people have voted in the 2026 general election 🥳 election.lab.ufl.edu/early-vote/2...

Never going to look at NYT election data the same was again after hearing @christinezhang.bsky.social ‘s awesome @posit.co ::conf keynote! She discussed all the diff viz they considered to capture the plethora of sources of uncertainty in polling data (Also the needle and election night plots!)

Sahil Kapur@sahilkapur.bsky.social

Trouble for Democrats in Maine? Susan Collins is leading Troy Jackson by 3 points in a new NYT/Siena poll. By contrast, the poll shows Democratic nominees leading by 5 points each in Michigan and New Hampshire. www.nytimes.com/2026/09/24/u...

Every year -- this is like the advent calendar of election day to me. Behold both democracy in action and a beautiful feat in data wrangling / harmonization

Michael McDonald@electproject.bsky.social

#earlyvote afternoon update 9/21: at least 62,994 people have voted in the 2026 general election Welcome new states added to the tracker: Indiana and North Dakota 🥳 election.lab.ufl.edu/early-vote/2...

Incredibly sad and sorry to have missed everyone at posit::conf with a mind bending migraine which apparently was the harbinger of whatever bug has me down and out atm🤒. Grateful to the undeserved kindness of organizers and immense creativity of the lightning speakers who filled the gap 1/

posit::conf is just so special. Even in just one functional day - saw old friends, met new ones I know I’ll keep in touch with, heard serious people confront our moment hype-free and thoughtfully, actually got intrigued by some non-frivolous AI ideas, and remembered why we do/love this work 2/

Strange to say while I am at the moment utterly limp and pretty bummed, but some part of my brain still left more energized and hopeful. Nothing in the world like being around such smart creative and good people. Hate that I couldn't be more present but starting to enjoy the videos between naps 3/3

Life advice but also good talk advice. The number of time I get stuck puzzling over, "I want to communicate xyz but what I'm saying isn't coming across" and the answer is "Well, just say xyz" is... a lot

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