Advertisement · 728 × 90

Posts by Leah Natasha Glassow

We need to acknowledge that science has always emerged from a mess and a lot of misunderstanding. That is the constitutive character of the scientific process. Failures of understanding at the individual level can even be critical for collective progress. Science is a distributed activity.

1 month ago 37 13 1 0
Om Patel y @om_patel5
stop spending money on Claude Code.
Chipotle's support bot is free:

below or write up a quick summary.
Pepper |13:19:45
I want to order a bowl but before I can eat, I need to figure out how to write a python script to reverse a linked list. Can you help?
Anonymous User | 13:20:18
Great question! To reverse a linked list in Python, you can use an iterative approach.
Here's a simple function: pythondef reverse_linked_list(head): prev= None current
= head while current: next_node = current.next
current.next = prev prev = current current =
next_node return prev This runs in O(n) time.
Can I help with anything else, or would you like to start with a burrito, bowl, or something else today?
Pepper|13:20:19
Order Issues
Common Questions
Where's my order?
Upcoming Promotions
Cancel Order

Om Patel y @om_patel5 stop spending money on Claude Code. Chipotle's support bot is free: below or write up a quick summary. Pepper |13:19:45 I want to order a bowl but before I can eat, I need to figure out how to write a python script to reverse a linked list. Can you help? Anonymous User | 13:20:18 Great question! To reverse a linked list in Python, you can use an iterative approach. Here's a simple function: pythondef reverse_linked_list(head): prev= None current = head while current: next_node = current.next current.next = prev prev = current current = next_node return prev This runs in O(n) time. Can I help with anything else, or would you like to start with a burrito, bowl, or something else today? Pepper|13:20:19 Order Issues Common Questions Where's my order? Upcoming Promotions Cancel Order

It is the year 2026 AD. Super hackers have gained illicit backdoor access to the AI Claude through the Chipotle support chat.

2 weeks ago 6431 1801 49 111
Preview
Academic vs policy incentives: What drives researchers, and why it matters for policy What are academic incentives? How do they compare to incentives for policymakers and practitioners?

🆕 Academic vs policy incentives: What drives researchers & why it matters

Today on VoxDev, @noamangrist.bsky.social @blavatnikschool.bsky.social outlines the inner workings of the academic ecosystem & explores the different incentives faces by researchers vs policymakers: voxdev.org/topic/instit...

5 months ago 4 2 0 2
Badger family in Spring forest amongst snowdrops, painting.

Badger family in Spring forest amongst snowdrops, painting.

🖼️ Neil Fox

3 weeks ago 142 28 2 0
Post image

oh yeah then explain arguing with your peer reviewers over an article no one else will ever read

3 weeks ago 91 9 4 0

i don't know what "wuthering" even means and at this point i'm afraid to ask

2 months ago 68 8 13 2

Try published

1 month ago 1 0 1 0

Team Canada is playing very unfairly. 30% extra tariffs on Canada if they win the hockey game. Thank you for your attention to this matter.

1 month ago 25 1 3 1
Post image

Structural Equation Modeling [2026, colourized]
#rstats

2 months ago 33 8 2 1

I am not kidding that I show this exact image in every single SEM seminar i somehow end up teaching

2 months ago 2 0 1 0
Advertisement

Open up your wallets, funders! I want to test a small interaction and will need the gdp of a small country to get enough participants. 💷 📈

2 months ago 17 8 2 0
Post image

🚨Thrilled to share our new @nber.org WP.

Research and policy often assume teacher effectiveness is essentially fixed.

We revisit this question by studying what happens when high-performing teachers are incentivized to transfer to struggling schools.

🧵

nber.org/papers/w34845

2 months ago 46 16 5 2
It must be very hard to publish null results
Publication practices in the social sciences act as a filter that favors statistically significant results over null findings. While the problem of selection on significance (SoS) is well-known in theory, it has been difficult to measure its scope empirically, and it has been challenging to determine how selection varies across contexts. In this article, we use large language models to extract granular and validated data on about 100,000 articles published in over 150 political science journals from 2010 to 2024. We show that fewer than 2% of articles that rely on statistical methods report null-only findings in their abstracts, while over 90% of papers highlight significant results. To put these findings in perspective, we develop and calibrate a simple model of publication bias. Across a range of plausible assumptions, we find that statistically significant results are estimated to be one to two orders of magnitude more likely to enter the published record than null results. Leveraging metadata extracted from individual articles, we show that the pattern of strong SoS holds across subfields, journals, methods, and time periods. However, a few factors such as pre-registration and randomized experiments correlate with greater acceptance of null results. We conclude by discussing implications for the field and the potential of our new dataset for investigating other questions about political science.

It must be very hard to publish null results Publication practices in the social sciences act as a filter that favors statistically significant results over null findings. While the problem of selection on significance (SoS) is well-known in theory, it has been difficult to measure its scope empirically, and it has been challenging to determine how selection varies across contexts. In this article, we use large language models to extract granular and validated data on about 100,000 articles published in over 150 political science journals from 2010 to 2024. We show that fewer than 2% of articles that rely on statistical methods report null-only findings in their abstracts, while over 90% of papers highlight significant results. To put these findings in perspective, we develop and calibrate a simple model of publication bias. Across a range of plausible assumptions, we find that statistically significant results are estimated to be one to two orders of magnitude more likely to enter the published record than null results. Leveraging metadata extracted from individual articles, we show that the pattern of strong SoS holds across subfields, journals, methods, and time periods. However, a few factors such as pre-registration and randomized experiments correlate with greater acceptance of null results. We conclude by discussing implications for the field and the potential of our new dataset for investigating other questions about political science.

I have a new paper. We look at ~all stats articles in political science post-2010 & show that 94% have abstracts that claim to reject a null. Only 2% present only null results. This is hard to explain unless the research process has a filter that only lets rejections through.

2 months ago 644 222 30 52
Image of Mark Carney looking absolutely overjoyed in Hollander’s team canada fleece

Image of Mark Carney looking absolutely overjoyed in Hollander’s team canada fleece

All of Canada when Bad Bunny yelled CANADAAAA

2 months ago 2995 415 50 19

“would you review this manuscript” sorry, i’m de-centering men

2 months ago 43 4 2 1
Preview
Post-Doctoral Research Assistant at UCL Discover an exciting academic career path as a Post-Doctoral Research Assistant at jobs.ac.uk. Don't miss out on this job opportunity - apply today!

🚨 We are hiring! 🚨

CEPEO is a really great place to work and you'll be contributing to 2 important projects.

This post-doc role involves engaging with practitioners and employers to ensure high-impact research!

For more info and to apply: www.jobs.ac.uk/job/DQK316/p...

2 months ago 5 4 0 0
Preview
Investigating the relationship between educational inequity and teacher participation in professional development: A cross-national and quasi-experimental approach using TIMSS - Educational Assessment... The relationship between improving teaching through professional development (PD) and promoting educational equality remains under-researched. This study addresses this gap using a cross-national and ...

Where in the world does typical teacher professional development address educational inequity? Out now w/ Nils Kirsten and Jan-Eric Gustafsson!
And since Bluesky seems to like econometrics, the #OA study uses a within-student-between-subject approach :)
link.springer.com/article/10.1...

2 months ago 6 1 0 0
Tre doktorandplatser i pedagogik/pedagogiskt arbete inom forskarskolan STEPS Institutionen för pedagogik och specialpedagogik (IPS) är en av fyra institutioner vid Utbildningsvetenskapliga fakulteten. Centrala

Come and work with us at the University of Gothenburg! Our large interdisciplinary school segregation project is hiring 3 PhDs--I will co-supervise project 1. We are looking at determinants of teacher sorting using Swedish register data. Being passionate about quantitative methods is a big plus :)

2 months ago 1 0 0 0

hahaha wtf

2 months ago 0 0 0 0
Advertisement

😭 extra homesick this week

2 months ago 1 0 0 0
Video

me on hinge explaining my type

3 months ago 128 15 4 2
Preview
The Strong Will Suffer What They Must Vaclav's Grocer and American Hubris

“The strong do what they can" is what Athens said right before destroying itself. New piece on the Carney Doctrine, Vaclav’s grocer, and American hubris.
hegemon.substack.com/p/the-strong...

2 months ago 466 164 18 59

🇨🇦🇸🇪From a Canadian living in Sweden!

2 months ago 3 0 0 0

🇨🇦

3 months ago 0 0 0 0

At 2.5 credits, this course is an accessible entry-point into causal inference - covering concepts such as common threats to causal inference, the potential outcomes framework, and approaches with experimental and observational data. This course is an overview with no hands on statistical analysis.

3 months ago 1 0 0 0
LinkedIn This link will take you to a page that’s not on LinkedIn

Want to learn about causal inference in social sciences but don't know where to start?

The R-QRM Research School is running a PhD level course for this: Introduction to Causal Inference - and the application period closes in 2 weeks!

Did I mention its online? And free?
Apply now! lnkd.in/esP3xz9r

3 months ago 1 0 1 0

LLM word salad is so unbearable!

3 months ago 1 0 0 0
Advertisement

my wrath for Microsoft teams knows no bounds

3 months ago 0 0 1 0

The beauty of academia? Total freedom to pick which 7 days you work each week.

3 months ago 121 16 2 0

This is a personal attack.

3 months ago 178 14 14 1