Julia M. Rohrer

@dingdingpeng.the100.ci

Personality psych & causal inference @UniLeipzig. I like all things science, beer, & puns. Even better when combined! Part of http://the100.ci, http://openscience-leipzig.org

"Das Berliner Wohnungsproblem ist vor allem ein Umsetzungsproblem. Die Stadt hat bereits Potenziale für 213.000 Wohnungen identifiziert." In seiner @zeit.de Kolumne nennt @mfratzscher.bsky.social konkrete Maßnahmen, die ohne Vergesellschaftung schnell umsetzbar wären: www.diw.de/de/diw_01.c....

DIW Berlin: So lässt sich die Wohnungsnot ohne Enteignungen lösen

Berlin diskutiert über Vergesellschaftung, dabei liegen praktische Lösungen für das Wohnungsproblem direkt in der Stadt: als Flächen, die man nutzen muss.  Wohnen ist eine der wichtigsten sozialen Fra...

diw.de

I’m looking into the literature on the effects of marriage on well-being 👀 if you have any favorite studies, please let me know! My main interest is on the causal inference side of things, but I’ll take anything that is interesting 😋

Kudos to the journal for collaborating! Psych Science is doing quite a few things right from an outside perspective.

Institute for Replication@i4replication.bsky.social · 5d ago

Over the past two years, I4R partnered with Psychological Science (@psychscience.bsky.social) on a large reproducibility project. 67 independent teams reproduced 64 articles published in 2024–2025, about 44% of eligible papers. Paper: www.econstor.eu/bitstream/10... Here's what we learned 🧵

This is a poor take that suggests Owen Jones doesn't know much about Russia in the 1990s, including Russia-US or wider Russia-West relations in the 1990s. By giving only one part of the story, he is repeating the Russian political elite's self-serving line that it was all the West's fault. Long 🧵

Owen Jones@owenjones.bsky.social · 6d ago

The West helped create Vladimir Putin. A senior Western diplomat warned in 1994 where capitalist 'shock therapy' would take Russia. They ignored him - and ended his diplomatic career.

Where do I find student writing that is certain to be AI written? Been playing around building a scanner that produces a dashboard of indicators and it correctly assess my work as non-slop, but I need some definitive slop to test the reverse.

Debating with colleagues about the practice of "deseasoning and deweathering" air pollution data before use in time series analysis. I can't see why you don't use the raw pollution data and model season/weather variables like normal confounders (independent variables). Can anyone defend this?

Carlyle called it the "dismal science" in the context of an essay where he lamented that emancipated formerly enslaved people were demanding too high wages on West Indies sugar plantations and criticized economists of the day for supporting slavery abolition and free immigration of black people.