Athul Sudheesh
banner
athul.bsky.social
Athul Sudheesh
@athul.bsky.social
Applied Statistician (Causal Inference, Psychometrics & Econometrics) | Research Software Developer - #RStats, #JuliaLang. Passionate about #EducationalPsychology & #BehavioralEconomics.
Pinned
A short self-intro for my new followers.

Three topics I am passionate about (or things to expect from me in your feed):
1. Causal Modeling
2. Educational Psychology & Behavioral Economics
3. #JuliaLang
Reposted by Athul Sudheesh
if I see another academic describe LLMs - a tech owned by a small elite of white billionaires, built from extracting data from humans and minerals from the earth, and refined by the labor of underpaid workers in the global south - as an ‘important tool for decolonization’ I may simply just explode
December 9, 2025 at 2:32 AM
Reposted by Athul Sudheesh
I'm teaching Statistical Rethinking again starting Jan 2026. This time with live lectures, divided into Beginner and Experienced sections. Will be a lot more work for me, but I hope much better for students.

I will record lectures & all will be found at this link: github.com/rmcelreath/s...
December 9, 2025 at 1:58 PM
Reposted by Athul Sudheesh
Issue 25 of RDM Weekly is out! 📬

It includes:
➡️ Make Your Open Data More Useable @collin-schwantes.bsky.social
➡️ PIDs 101 - Webinar @sparcopen.bsky.social
➡️ Cleaning Medical Data with R @pipinghotdata.com
➡️ Lab Manual Template @martonkovacs.bsky.social

rdmweekly.substack.com/p/rdm-weekly...
RDM Weekly - Issue 025
A weekly roundup of Research Data Management resources.
rdmweekly.substack.com
December 9, 2025 at 2:05 PM
Reposted by Athul Sudheesh
I am going to avoid QTing as the intention is not to dunk. However complaints that stats is "too hard" and there should be tools to automate it miss the mark. Stats is a profession that requires hard work, like most others. They ARE hard. That's why you partner with experts.
#statsky #rstats #medsky
December 5, 2025 at 7:22 AM
Reposted by Athul Sudheesh
Inspiring, though provoking, disagreeable 😉.

Great to have @lakens.bsky.social as a keynote at our third metascience for Machine Learning workshop
metascienceforml.github.io
December 5, 2025 at 8:50 PM
Reposted by Athul Sudheesh
If experimenters regularly thought like modelers and actually did use synthetic data to vet their designs, they'd be running orders of magnitudes fewer experiments and the literature wouldn't be so saturated with empirical garbage.
November 10, 2025 at 5:02 PM
Reposted by Athul Sudheesh
Have you ever wondered what causality really is?

In this week's issue of causalpython.io Weekly:

1. David Rohde on whether it makes sense to talk about "causality" as a unified concept

1/

#CausalSky #StatSky #EpiSky
October 19, 2025 at 10:42 AM
Reposted by Athul Sudheesh
Interested in measurement? NCME has expanded its list of PhD programs in North America (82 and counting). Our community is strong.
Landing page: www.ncme.org/students/con...
List: bit.ly/ncmephdprograms
Map: bit.ly/ncmephdmap
@ncme38.bsky.social
October 16, 2025 at 6:17 PM
Saying “Oh, don’t learn to code because we have LLMs” is as absurd as telling someone “Don’t learn math because we have calculators”
May 23, 2025 at 4:54 PM
Can I please have a normal day without seeing LLM/AI keywords on everything I see or listen? 😒

LLM is a tech/science epidemic! There is more to science and tech than these language models.
April 25, 2025 at 1:35 PM
Reposted by Athul Sudheesh
I keep coming across new lists of education research (and adjacent) job opportunities so if you are looking for work, check out these links. 👇

docs.google.com/spreadsheets...

docs.google.com/spreadsheets...

docs.google.com/spreadsheets...

www.purposephilcareer.com
April 25, 2025 at 1:15 PM
Reposted by Athul Sudheesh
The second edition of The Effect is now available for preorder! This version has a whole new chapter on Partial Identification, a considerable update on staggered treatment and control variables in DID, and zillions of other little updates throughout. www.routledge.com/The-Effect-A...
The Effect: An Introduction to Research Design and Causality
The Effect: An Introduction to Research Design and Causality, Second edition is about research design, specifically concerning research that uses observational data to make a causal inference. It is s...
www.routledge.com
April 1, 2025 at 6:17 PM
💯
I know this might seem crazy, but PhD students should be provided high quality training in the research methods that are critical for their work. This might even include training in study design, statistics, and data analysis.
March 28, 2025 at 7:06 PM
Reposted by Athul Sudheesh
I read this it obviously rings true. I do wonder wether one unifyng call to action for manegement, unions, academics, and yes administrators could be to collectively truely optimize the Universities expenditures. A genuine anti-DOGE... 🧵👇
On the responsibilities of intellectuals and the rise of bullshit jobs in universities
You may never have considered yourself to be one. Why would you? But if you’re reading this, there is more than a likelihood that you are one. If you’re a
academic.oup.com
March 26, 2025 at 8:54 AM
Reposted by Athul Sudheesh
"When a complex system is far from equilibrium, small islands of coherence in a sea of chaos have the capacity to shift the entire system to a higher order."

Iya Prigogine, Noble prize-winning chemist
March 23, 2025 at 4:39 PM
Reposted by Athul Sudheesh
How about…
If you don’t stand up against government crippling of science, we will lose to China

Let’s not put the cart before the horse
March 23, 2025 at 9:51 PM
Reposted by Athul Sudheesh
Suffused with causality | Humans have a superpower that makes us uniquely capable of controlling the world: our ability to understand cause and effect | by Mariel Goddu aeon.co/essays/causa...
Causal understanding is not a point of view, it’s a point of do | Aeon Essays
Humans have a superpower that makes us uniquely capable of controlling the world: our ability to understand cause and effect
aeon.co
March 22, 2025 at 12:49 PM
Yesterday, one of my mentors opened up about their struggles & mental health challenges. I am truly grateful for this, as it helped me to come in terms with my own. I know workplaces that would consider this as 'unprofessional'. But I wish more people shared their experiences in the workplace.
February 22, 2025 at 4:47 PM
Reposted by Athul Sudheesh
For the quant methods people in my circle:

Tenure-track Assistant Professor specializing in measurement and psychometric issues related to complex data structures.
December 3, 2024 at 7:35 PM
Reposted by Athul Sudheesh
Great quote by Koopmans on tractability traps in economics (or trampolines?)

I wish I had remembered it earlier

"Tools...may even come to dominate an entire period or school of thought. Our servants may thus become our guides, for better or for worse, depending on the accidents of the case"
October 6, 2023 at 3:43 PM
Reposted by Athul Sudheesh
0/
Folks are asking for resources for learning about causal inference.
Here is a comprehensive reading list since no one address all issues —
What is causality?
When is a causal relationship is knowable?
How to infer causal relationships given from noisy and limited data?
January 7, 2018 at 10:17 PM
A short self-intro for my new followers.

Three topics I am passionate about (or things to expect from me in your feed):
1. Causal Modeling
2. Educational Psychology & Behavioral Economics
3. #JuliaLang
November 26, 2024 at 8:09 PM
Reposted by Athul Sudheesh
Science is no different than any other human endeavor: changes, eg new concepts, level the playing field bringing both progresses and illusion.

The incumbent elite, mastering old concepts, is tempted to scorn the new ones, ignoring the progress and focusing on the illusions.
November 17, 2024 at 1:56 PM
I hear people going bananas with PerplexityAI. But another product that's similar to Perplexity but provides a lot more customization and choice of LLMs is You.com. I think PerplexityAI is over-hyped!
You.com | AI for workplace productivity
Artificial intelligence designed for collaboration - with AI Agents that can research, solve problems, and create content for you and your team.
You.com
November 17, 2024 at 12:20 AM
@solomonkurz.bsky.social Thank you for sharing your causal inference learning through your blog! I have greatly benefited from reading your blog posts. I just wanted to let you know that you made someone's life easier by sharing those learnings and wisdom.
November 12, 2024 at 3:58 PM