Emily Riederer
emilyriederer.bsky.social
Emily Riederer
@emilyriederer.bsky.social
Here for data, data science, analytics engineering, rstats, books
Reposted by Emily Riederer
Bluesky is the new science Twitter, new study by @whysharksmatter.bsky.social and Julia Wester concludes!

"Results show that for every reported professional benefit that scientists once gained from Twitter, scientists can now gain that benefit more effectively on Bluesky than on Twitter."
Scientists no Longer Find Twitter Professionally Useful, and have Switched to Bluesky
Synopsis. Social media has become widely used by the scientific community for a variety of professional uses, including networking and public outreach. For
academic.oup.com
February 13, 2026 at 10:08 PM
Plenty that others will say about all the semi-dystopic Super Bowl ads, but Monday morning the one in my head is every employee was vibe coding their own apps

Sprawling ungoverned internal tool dev has notably worked out so well in corporate BI tools 😣
February 9, 2026 at 2:04 PM
Reposted by Emily Riederer
Reminder when you watch the Intuit Super Bowl ads, they have Super Bowl ad money because they are a successful rent seekers who have worked for decades to kill free, quality, public tax preparation services donmoynihan.substack.com/p/the-death-...
The Death of Direct File
Tech for good not welcome in the Trump administration
donmoynihan.substack.com
February 8, 2026 at 11:40 PM
Got #data ideas to share? Two awesome confs have CFPs ongoing through February!

@posit.co ::conf submissions open thru Fri 2/20 posit.co/blog/posit-c...

Applied ML Conf (feat @vickiboykis.com !) submissions open thru Su 2/22 appliedml.us/2026/
February 7, 2026 at 5:11 PM
The weirdest thing about reading financial journalist is their love of the phrase “up and to the right”. I’m no time series expert but I guess I wasn’t worried about the “to the right” bit. Thought that was kind of non-negotiable
February 7, 2026 at 1:55 PM
Had a great time on @posit.co 's Test Set pod w/ @mchow.com @hadley.nz @wesmckinney.com!

We talk about moving between R, SQL, python and the strengths of different analytical tools for diff data tasks. You won't believe what proprietary language gets a shout-out (Stata!)

posit.co/thetestset/e...
Episode 14 – Emily Riederer: Column selectors, data quality, and learning in public - Posit
posit.co
January 29, 2026 at 1:59 PM
Never underestimate the quest for knowledge no matter how irrelevant it may seem in the moment

If I hadn’t gone to a public university, I honestly wouldn’t have ever bothered to watch a basketball game. But now? “Boxing out” is a top ten skills for boarding public transportation
January 13, 2026 at 1:38 PM
Weeks after writing about how the best ideas bleed btwn R and python, I find out from @stephenturner.us 's excellent blog that the #rstats world is attempting their own Rust-based analog to `uv` (for deps mgmt not packaging)

Haven't tried but neat to watch

a2-ai.github.io/rv-docs/
January 10, 2026 at 9:07 PM
Last 2025 post, on @python.org & @carpentries.carpentries.org values, a great @posit.co conf session feat @mchow.com @richmeister.bsky.social @davisvaughan.bsky.social, the magic of #rstats #python dev cultures sharing best practices, and random #rstats history

www.emilyriederer.com/post/py-rgo-...
R + Python: From polyglot to crosspolination | Emily Riederer
A combined reflection on 2025, posit::conf(2025), and the necessity of diversity in open source
www.emilyriederer.com
December 30, 2025 at 9:55 PM
Reposted by Emily Riederer
I know of a 40,000 patient clinical trial where the SAS programmer determined the key secondary outcome as positive if Y=time to stroke < maximum follow-up time. Y=missing -> positive outcome because with SAS missing < anything. The error still stands.
December 19, 2025 at 2:28 PM
I feel like #lazyweb isn't what it used to be, but anyone in #econsky happen to know of a good package for implementing fuzzy regression discontinuity designs in python?
December 10, 2025 at 2:27 AM
Reposted by Emily Riederer
Does anyone want a survivorship bias shortbread
November 29, 2025 at 4:50 AM
Wondering what we lose as tech writers write for AI training vs humans. The lovely `polars` docs often use nice reprexs to demonstrate syntax but then note if the technique shouldn't be used in such a trivial case. Would someone write this now or worry AI picks example w/out context?
November 19, 2025 at 1:53 AM
Great taxonomy for managers, as well! So important to be clear when feedback is a must-have, nice-to-have, or curiosity question you don’t reasonably expect to get answered
I recently discovered Conventional Comments (conventionalcomments.org) for providing a pseudo-standard set of labels for feedback and just tried it for an article review and it was really helpful to specify issues vs. thoughts vs. suggestions, etc. Hopefully it's helpful for the authors too!
November 17, 2025 at 7:01 PM
Continuing my #python Rgonomics posts for the #rstats crowd, wrote a short post about the different ways to use (non-polars) user-defined functions in a pipe

Not the most groundbreaking thing, but one of those "the thing I needed to read a bit ago" posts

(1/)

www.emilyriederer.com/post/py-rgo-...
Welcome! | Emily Riederer
www.emilyriederer.com
November 16, 2025 at 4:12 PM
Every year around this time I’m surprised/disappointed to find there aren’t good places online to print custom 365 day calendars

Do you people like.. not maintain lists of 400+ pithy thoughts on the same topic?

(Seriously, does anyone know where this can be done?)
November 15, 2025 at 5:22 PM
1. This is reprehensible and should not exist. What are we doing?
2. Mildly amusing picturing AI me, learned from my digitaltraces; family and friends reaching out in their moment of need, and I'm just spouting off about data quality checks and column naming conventions
New insult to life itself just dropped
November 15, 2025 at 2:32 AM
Favorite talks from day 1 of @causalscience.org 's #CDSM2025 🧵
November 13, 2025 at 12:15 AM
Truly one of the best data science events that I look forward to all year long! No sales, no hype, just exquisite thoughtful yet practical methods. Taking two days off work to attend. Don't miss out!
⏰ Last chance to register for #CDSM2025!

Don't miss your chance to join us Nov 12–13 for two days of talks & debates at the intersection of causality, data science & AI.

💻 Online | 🎟️ Free
👉 causalscience.org
November 9, 2025 at 12:44 AM
A twinge of jealousy for the ecologist-types who are getting one heck of a natural experiment out of the FAA flight reductions

Terrible if you’re trying to live in a functional society, but pretty lovely if you do causal analysis on pollution or emissions
November 7, 2025 at 1:55 PM
Reposted by Emily Riederer
Python SC accepted PEP 798

PEP: peps.python.org/pep-0798/

Acceptance: discuss.python.org/t/pep-798-un...

So this:
[*row for row in list_of_lists]

Will do the same thing as this:
[x for row in list_of_lists for x in row]
PEP 798 – Unpacking in Comprehensions | peps.python.org
This PEP proposes extending list, set, and dictionary comprehensions, as well as generator expressions, to allow unpacking notation (* and **) at the start of the expression, providing a concise way o...
peps.python.org
November 3, 2025 at 9:01 PM
Reposted by Emily Riederer
⏰ Only 1 week left to register for #CDSM2025!

Join us Nov 12–13 for two days of talks & debates at the intersection of causality, data science & AI.

💻 Online | 🎟️ Free
👉 causalscience.org
🎉 The program for this year's Causal Data Science Meeting (#CDSM2025) is now live!
📅 Nov 12–13, 2025 | 💻 Online | 🎟️ Free registration

Join us for two days of talks and debates at the intersection of causality, data science, and AI.
👉 causalscience.org
November 3, 2025 at 10:30 AM
Reposted by Emily Riederer
My theory is that for practitioners, regression models should be like pocket money: you get a fixed number per week to do whatever you like with until we're sure you won't blow the whole lot on silly stuff, get caught up in a get-rich-quick scheme, or accidentally leave them in a drawer somewhere.
This paper’s been popping as “evidence” that you can’t do real #causalinference w/ obs data. To me it shows you need rigorous pre-specified design (in addition to the willingness to fold when your hypothesis is not possible to answer with the data at hand). #EpiSky, #CausalSky, #AcademicSky
November 2, 2025 at 4:20 PM
The way python and R foster inclusion directly contributes to their success: joyful places to exist, a steady flow of new maintainers, and a delightful collection of niche tools empowered by wildly different expertise coming together

Watch the new python documentary for more on PSF’s work here
October 28, 2025 at 12:20 AM
jacobtomlinson.dev/posts/2025/t...

Highly relatable for anyone that has ever written a line of code used by other people

Lovely little post from @jacobtomlinson.dev
The Majority Of Your Users
The majority of your users don’t read your changelog. The majority of your users only upgrade to new versions when forced to.
jacobtomlinson.dev
October 26, 2025 at 2:21 PM