Not getting into the merits of the paper, but I'm a bit confused about the title. It talks of polarization but the only outcome featured anywhere is far-right support. Are these two considered the same thing?
The Venn diagram with people who walk into a coffee shop and order "two cappuccini please" is a circle
The causal model side of my brain says A and the measurement side says B, so if possible randomize and if not causal structure trumps measurement concern so A imho
The Secret Raising Agent
Photo showing the main indexes of US stocks in the red at the moment
Here I sit hoping it'll be just another instance of market manipulation and not actual genocide and/or nuclear war
Well here's a case of a foreigner receiving government handouts while the local population struggles
🤖 Create models that fit your research.
Join @cklamm.bsky.social at @methodsnet.bsky.social Summer School for "Large Language Models: Tune & Train Your Own Models."
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Was checking their rates for UK outside of London this week and boy do I want to have a chat with the Arbeitskreis who figured hotels in Belfast or Manchester are cheaper than Albania
Birth of a Nation sequel 100 years in the making
Cool and fun to use!
Tenho experimentado, e os comentários são melhores que 90% dos discussants em congressos
Current exchange rate is 3.25 FIFA Peace Prizes
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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.
People often ask how to get social media and online platforms' data these days after a lot of them shut down academic access
This course by Noëlle Lebernegg at the @methodsnet.bsky.social summer school gets you covered 👇
Registrations open
methodsnet.org/course/d04-c...
The methodology evolution is coming.
On Feb 11th, #MethodsNET opens the Call for Proposals for our next conference. We’re looking for innovative takes on qualitative, quantitative, and mixed methods.
Check out the conference details here: methodsnet.org/conference/3...
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Headline of column written by Celia Walden, reading "Our woke schools should focus on education, not feelings"
Curious how that squares with focusing on education not feelings
Peter Griffin looking annoyed with a bold print saying "oh my god who the hell cares?"
Feels like half the negative reviews I write these days could be replaced by this figure
Srsly people, don't underestimate the importance of framing and convincing your reader that your research is important. That's usually not as self-evident for others as it may be for you
Thinking a bit too fast huh
Oh the man complaining no colleagues wanted to have lunch with him is going on a popularity contest? That'll be fun
Happy to be part of this project, and excited for the work ahead!
Lots of takes these days on how "even after Trump the world will not see the US as a reliable partner anymore" from people who I thought would know that Latin America or the Middle East are part of the world
Oh so brave to speak out like this, can we please interview him now on something he can actually act on, like idk supporting the use of Russian frozen assets to support Ukraine?
Here's a short write-up of our recently published study:
📰"What People Really Think About Taxing the Rich – the surprising beliefs behind progressive taxation"
TLDR: Most believe taxing the rich brings equality & growth! Elite fears are not shared.
www.cambridge.org/core/blog/20...
Applies equally well to academia
Exactly my thought. The moment Trump would launch an offensive and Fox News starts selling it republicans and leaning independents fall in line
A new blog post by @beckerbastian.bsky.social, @bcastanho.bsky.social and Hanna Lierse - t.ly/Cs6xb !
The article, entitled “Taxing your cake and growing it too: public beliefs on the dual benefits of progressive taxation”, is available here: tinyurl.com/2cc7x4jf
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Oh Mechahitler is getting access to nukes cool cool cool cool cool