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Patrik Michaelsen

@michaelsen.bsky.social

Post doc in political science University of Gothenburg. Behavioral public policy, conservation policy, transparency, behavior change, open science www.patrikmichaelsen.com

1,342 Followers  |  2,100 Following  |  12 Posts  |  Joined: 27.09.2023
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Posts by Patrik Michaelsen (@michaelsen.bsky.social)

Today the APA journal that published that meta-analysis rejected our commentary - primarily because our findings were not interesting enough. What the actual fuck!

01.03.2026 20:39 β€” πŸ‘ 19    πŸ” 1    πŸ’¬ 3    πŸ“Œ 1

We recently submitted a commentary on a very influential meta-analysis. We found that: 1) 40% of relevant literature had not been identified because of lazy search, 2) a few large N included studies did not meet stated inclusion criteria, and 3) that almost all sig. moderator findings were wrong.

01.03.2026 20:39 β€” πŸ‘ 24    πŸ” 7    πŸ’¬ 1    πŸ“Œ 1
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In 1975-1977, the Swedish Government carried out an official investigation into the future of electronic music. Where is this kind of leadership today I ask

19.02.2026 18:31 β€” πŸ‘ 62    πŸ” 16    πŸ’¬ 0    πŸ“Œ 1
When and How to Deviate From a Preregistration As the practice of preregistration becomes more common, researchers need guidance in how to report deviations from their preregistered statistical analysis plan. A principled approach to the use of…

If you set out to test a hypothesis, you should preregister it. If you deviate from a preregistration, report a table with all deviations, and evaluate the consequences for the validity and severity of the test. As a reviewer, ask for such a table!

online.ucpress.edu/collabra/art...

17.02.2026 07:07 β€” πŸ‘ 21    πŸ” 5    πŸ’¬ 0    πŸ“Œ 1

It's ironic to see a discipline care **so much** about unbiasedness (causal inference!) at the level of a single test but then have a research production system and culture that is basically a ferocious bias generation machine. This is not good.

11.02.2026 17:00 β€” πŸ‘ 158    πŸ” 26    πŸ’¬ 4    πŸ“Œ 10
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.

11.02.2026 17:00 β€” πŸ‘ 640    πŸ” 223    πŸ’¬ 30    πŸ“Œ 51

The Iowa Gambling Task is an extreme example of Jingle Fallacy and schmeasurement.

In 100 articles we found 244 different ways of scoring it, 177 were never reused. Correlations between them range -.99 to .99.

At the same time, we show meta-analyses combine these results as if they’re equivalent.

25.01.2026 12:01 β€” πŸ‘ 140    πŸ” 54    πŸ’¬ 5    πŸ“Œ 4
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PNAS Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

Across 8 countries, large majorities back the #30x30 goal.

Support grows when all nations share protection duties, richer nations pay more, more countries join in and β€œbuying protection abroad” is barred. At home, people prefer nature-first siting and polluter-pays funding. https://bit.ly/4jALfRy

21.01.2026 18:49 β€” πŸ‘ 4    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
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Airing my grievances with wellbeing science We have a streetlight problem

After a provocation from Todd Kashdan I wrote up some frustrations I have with "wellbeing science", specifically the idea that it was born with life satisfaction scales.

I think this belief is untrue and unhelpful.

profmarkfabian.substack.com/p/airing-my-...

19.01.2026 08:12 β€” πŸ‘ 30    πŸ” 9    πŸ’¬ 4    πŸ“Œ 2
Client Challenge

We have reached a situation where (1) the time/resources spent by people applying for grant X often outweighs (2) the time/resources awarded.

For these grants, society loses net time/resources.

www.nature.com/articles/d41...

13.01.2026 09:44 β€” πŸ‘ 53    πŸ” 10    πŸ’¬ 1    πŸ“Œ 2
An email from Martin Peterson to university administrators.

An email from Martin Peterson to university administrators.

Martin Peterson's creative response to being banned from teaching Plato (shared with his permission).

08.01.2026 17:38 β€” πŸ‘ 5153    πŸ” 1546    πŸ’¬ 61    πŸ“Œ 142

Related: ”The Chrysalis Effect: How Ugly Initial Results Metamorphosize Into Beautiful Articles”

doi.org/10.1177/0149...

25.11.2025 19:20 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Environmental social science post doc position in Gothenburg with highly recommended colleagues

10.11.2025 13:09 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Title, authors’ names, abstract, and keywords from a paper about public support for the global 30-by-30 biodiversity conservation targets based on a survey in eight countries

Title, authors’ names, abstract, and keywords from a paper about public support for the global 30-by-30 biodiversity conservation targets based on a survey in eight countries

Achieving the global 30by30 #biodiversity conservation targets requires political compromises & navigating conflicts. @michaelsen.bsky.social et al. found strong public support for the targets in 8 countries, which suggests expansion of protected areas is politically feasible doi.org/10.1073/pnas...

05.09.2025 12:02 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

Possibly of interest to:
@worldwildlife.org
@greenpeace.org
@greenpeace.eu
@aspca.org
@theclimatereality.bsky.social
@oxconservationsoc.bsky.social
@climatecentral.org
@wclnews.bsky.social
@lgspace.bsky.social
@naturebasedsols.bsky.social
@sierraclub.org

01.09.2025 10:10 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Possibly of interest to
@ipbes.net
@unep.org
@unbiodiversity.bsky.social
@thegef.bsky.social
@society4conbio.bsky.social
@scbeurope.bsky.social
@biodivoxford.bsky.social
@nature.org
@science.nature.org
@globallf.bsky.social
@conservationorg.bsky.social
@protectparks.bsky.social
@wcs.org

01.09.2025 10:08 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
A visual representation of a discrete choice experiment with results separated by country

A visual representation of a discrete choice experiment with results separated by country

A second experiment on domestic-level policy regimes shows similar, but somewhat more diverse, results across countries.

Results include a widespread preferences of protected areas that prioritize nature values (even over social or economic), and general dislike of funding PAs through general taxes

01.09.2025 10:04 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
A visual representation of a discrete choice experiment with results separated by country

A visual representation of a discrete choice experiment with results separated by country

Experimentally, we find highly consistent policy preferences for international-level expansion regimes.

Results include widespread preferences for rich countries bearing higher costs, and generally that each country should protect 30% (instead of e.g., according to conservation benefits)

01.09.2025 10:04 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
Nine histograms displaying support levels from individual countries

Nine histograms displaying support levels from individual countries

We find 30x30 support levels in the range of 80-90% for Argentina, Brazil, India, Indonesia, South Africa and Spain samples.

Swedish (66% in favor) and USA (71%) respondents show strong majority support, albeit at comparatively lower levels.

01.09.2025 10:04 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Mass support for conserving 30% of the Earth by 2030: Experimental evidence from five continents | PNAS Rapid global expansion of protected areas is critical for safeguarding biodiversity but depends on political action for successful implementation. ...

New: Strong global support for the 30x30 conservation target

*Data from 5 continents (N=12k) show 82% in support of 30x30

*2 experiments find highly consistent expansion policy preferences, incl. prioritization of nature and rich countries bearing higher costs

Out now OA in @pnas.org. Viz. below.

01.09.2025 10:04 β€” πŸ‘ 47    πŸ” 23    πŸ’¬ 4    πŸ“Œ 0

My own branch has replicated several times

03.06.2025 06:32 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

^this is true

03.06.2025 06:16 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Hey! If social psychology could read they’d be very upset

03.06.2025 06:09 β€” πŸ‘ 13    πŸ” 0    πŸ’¬ 2    πŸ“Œ 0
Figure 1 of the paper

Figure 1 of the paper

🚨New paper!🚨

Meta-analysis on 4M p-values across 240k psych articles: How has psychology changed since the replication crisis began? How is replicability linked to citations, impact factor, and university prestige? 🧡

Paper: journals.sagepub.com/doi/10.1177/...

Interactive: pbogdan.com/meganal

09.04.2025 13:15 β€” πŸ‘ 79    πŸ” 37    πŸ’¬ 2    πŸ“Œ 5
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Haven't read this yet, but this seems very important for #ExpEcon folks. 22–27% failed comprehension in the DG & UG; in the Trust Game and Public Goods Game, that number hit 70% and 52%. doi.org/10.1016/j.je... (Note saw posted on other site but author doesn't seem to be here, so making a new post)

27.05.2025 21:56 β€” πŸ‘ 16    πŸ” 5    πŸ’¬ 2    πŸ“Œ 1
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🚨 New paper out in @pnas.org 🚨
Together with Armin Granulo and Christoph Fuchs, we explore how people respond to system-level policiesβ€”like bans or mandatesβ€” 𝘣𝘦𝘧𝘰𝘳𝘦 vs. 𝘒𝘧𝘡𝘦𝘳 they are implemented.
Paper πŸ”— doi.org/10.1073/pnas...
Preprint πŸ”— osf.io/preprints/ps...
Open materials πŸ”— osf.io/6qajn/

01.05.2025 15:18 β€” πŸ‘ 25    πŸ” 7    πŸ’¬ 1    πŸ“Œ 2
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Conservation for Nature and Wildlife’s Sake: The Effects of (Non-)Anthropocentric Ethical Justifications on Policy Acceptability Β« Political Science and International Relations# Β« Cambridge Core Blog Human activities continue to degrade nature and encroach on wildlife’s habitats and undeveloped open areas. Concern for the environment appears to be increasing as indicated by numerous countries sign...

A new blog post by Lauren Yehle, @michaelsen.bsky.social, Niklas Harring, and Sverker C. Jagers - t.ly/cw_CR !
The article β€œConservation for nature and wildlife’s sake: the effects of (non-)anthropocentric ethical justifications on policy acceptability” is available here: t.ly/HWHfQ

23.03.2025 23:19 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

I knew publication bias in political science was bad; I didn't know it was this bad.

"98.8% of abstracts report non-null results compared to only 16.9% reporting null findings."

This is bad.

10.02.2025 18:57 β€” πŸ‘ 50    πŸ” 12    πŸ’¬ 1    πŸ“Œ 0
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A new interesting article by Lauren Yehle, @michaelsen.bsky.social, Niklas Harring, and Sverker C. Jagers is now available. It is entitled β€œConservation for nature and wildlife’s sake: the effects of (non-)anthropocentric ethical justifications on policy acceptability”.
Enjoy it here: t.ly/HWHfQ

07.01.2025 10:13 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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The Business-School Scandal That Just Keeps Getting Bigger The rot runs deeper than almost anyone has guessed.

the fallout from the Francesca Gino research misconduct scandal isn't over. @engber.bsky.social writes about how an effort by some of her colleagues to self-audit their work with her ended up raising even more questions β€” for them personally and their whole field www.theatlantic.com/magazine/arc...

19.11.2024 22:10 β€” πŸ‘ 293    πŸ” 114    πŸ’¬ 15    πŸ“Œ 41