This year I tracked how much money I'm (theoretically) saving by using my local library (I read a lot, especially when stressed) 📖 I read 100+ books this year, and 71 were from the library (physical or digital) 🤯 If I had bought all those books form @bookshop.org it would have cost...$1,506.87

I’m gonna say it…I don’t care if your causal inference methods need to be more complex in order to protect consumers from being price gouged based on their individual characteristics in the future

Im rich in life because people like when I make jokes like this 🥹🥰

I suppose my clothes DO locally resemble real n-dimensional Euclidean spaces 🤔

computer going to take my job? no. i’ll pour water on it

RBF for RBF: using support vector machines withto classify resting bitch face

📢 TEACH DATA SCIENTISTS TIME/SPACE COMPLEXITY FOR COMMON ALGOS AT INFERENCE/TRAINING!! EVEN IF THEYRE NOT DOING MLOPS-Y STUFF, IF YOURE WORKING AT A COMPANY WITH HUGE AMOUNTS OF DATA, IT WILL BE HELPFUL TO KEEP IN MIND WHEN DESIGNING ANALYSES. #pikasshoutstats

I don’t get it, why is almost all “code” stock images/ b-roll in HTML?!?!?

You smug little…

You know that thing Coco Chanel said about accessories? “Before you leave the house, look in the mirror and take one thing off” We should all do that but with about 50% of the text we put in slide decks. TAKE. IT. OUT.

There’s a guy on tiktok who’s trying to replace ChatGPT by first drinking a ton of water and then answering people’s questions poorly 💀

Yes! I think we do need to be more clear about the benefits you get from being in the right hand column vs the benefits of being in the bottom row !!!

I just fell in love with a sci fi book and found out it has 7 books in the series (so far) so unfortunately my social life has wrapped up for the year, if you need me I’ll be reading ✌️

👀 Green bean casserole spotted, ✅ green bean casserole acquired 🐶

I think I’m about to hyper fixate on making the best focaccia ever. I tried a brined focaccia and it was 🤤

Braiding Sweetgrass (paraphrasing): no one becomes a scientist because of the wonder of data or p-values Me: ☝️ not NO one…👀

Oh no I have a query that will take ~7 minutes to run, I can’t possibly do anything productive during that small amount time, I better go scroll on social media…!

what are those ✨nostalgic✨ textbooks for you? not the most useful textbooks, or the ones you liked the most, but the ones that really take you back... for me, Strang's Linear Algebra and Casella + Berger's Statistical Inference come to mind

That’s why we have strongly informative priors amirite? /s

Sometimes people just want numbers that tell them to do what they already want to do 🤷‍♀️

📈📉

IF YOURE NOT GOING TO LOOK AT THE UNCERTAINTY OF YOUR ESTIMATES WHY BOTHER DOING THE ANALYSIS AT ALL #pikasShoutStats

She doesn’t even know about the assumption of homoskedasticity 🥹

The people yearn for adorable math slides

Me: *unsuccessfully tries zero-shot learning* Me to my LLM:

THAT INCREASE IN PRECISION OF YOUR ESTIMATE COMES AT THE COST OF MORE ASSUMPTIONS AND/OR OUTSIDE INFORMATION. MAKE SURE THOSE ASSUMPTIONS ARE GOOD!!! #pikasShoutStats

Just because an LLM can give you an output that’s not immediately and obviously wrong doesn’t mean it is a USEFUL or correct output I think we need to spend a LOT more time thinking about whether the lack of trust/verification of these outputs is a dealbreaker (I’d guess…it is)

There’s something really powerful about justifiable approximations 😍 Being in industry for a bit, I’m really learning to love the process of “right-sizing” analyses and providing emperical support for any approximations/simplifications that are needed.

In another life I would have liked to study topology. Or library sciences.

I love a good math problem

New Data Scientists when they find out their job is mostly dashboarding and data engineering

ChatGPT sassing me for asking questions 🙂‍↔️💀

🤏🤏🤏

Revisiting @phdemetri.bsky.social’s “What is Confounding?” blog this morning. What a great way to: 1: help people understand what confounding is doing and 2: show why randomization gets rid of a lot of causal worries for you! 🔗: dpananos.github.io/posts/2024-0...

Noooo don’t overfit your so sexy hahah

I love nothing more than when my coworkers’ dogs walk in frame during a zoom meeting 🥹

“look how much better my favorite model is compared compared to these other TRASH MODELS😒😒😒 when I specifically chose a DGP that matches my models assumptions and not the others’😌”

LET HIM COOK

If no one values you spending time on documentation, just tell them you’re making a Chatbot and you’re building content for RAG

🪧

ordbetareg has now fallen out of the top 10% of CRAN downloads. I mostly blame @chelseaparlett.bsky.social for not teaching enough classes to enough students in order to properly inflate my download statistics.

BLUSKY IS THIS BOOKMARK I made for Tony’s urbanism group too morbid?? We have a booth at a dinosaur themed children/family event👀

I fell off my bike on Saturday and got a gash on my forehead (I’m okay, helmets are good!!) I could handle the pain, but now I’m in the itchy stage and I’m going INSANE

Writing about statistics is exhausting because we’re (statisticians) all so persnickety about everything

sometimes, when my engagement is low, i think to myself "should I start shit posting about p-values again for attention?"

Frisch WAH Lovell theorem

If you’re struggling to understand CUPED for A/B testing, but you already understand why a paired T-test has higher power than a two-sample T-test on the same data, congratulations you actually do understand the important parts of CUPED!

Does JavaScript….go hard?!??

Explaining things to people who are learning about them for the first time is the BEST WAY to strengthen your own knowledge and communication skills🤯 You 1) figure out what you don’t know well enough to explain 2) get incredible questions that help you understand what’s not intuitive to newbies

Me thinking about survival analysis: 🎶my estimator has a second name it’s M-E-I-E-R🎵