Fabian Dablander
@fdabl.bsky.social
2.3K followers 380 following 140 posts
Postdoc @ SEVEN, the new climate institute of the University of Amsterdam || Climate action, tipping points, sufficiency, social movements. https://fabiandablander.com/
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fdabl.bsky.social
🔥 Climate hazard paper published!

Using nationally representative survey data from 142 countries (N = 128,093), I find that people who have experienced a climate-related hazard are more likely to consider climate change a 𝘷𝘦𝘳𝘺 𝘴𝘦𝘳𝘪𝘰𝘶𝘴 𝘵𝘩𝘳𝘦𝘢𝘵. 🧵

Link: iopscience.iop.org/article/10.1...
Abstract and title of the paper Figure 1 in the paper Figure 2 in the paper
fdabl.bsky.social
While there are a number of limitations to this analysis, which I discuss in the paper, these findings provide robust global evidence that personal experience with climate-related hazards is associated with increased climate risk perception.

Read it all here: iopscience.iop.org/article/10.1...
fdabl.bsky.social
There is marked variation between countries, and this appears to differ across hazards. For example, hurricanes, mudslides, and wildfires show similar effects across countries, while the effects of earthquakes, sandstorms, and droughts vary strongly across countries.
Figure 4 in the paper
fdabl.bsky.social
The data also includes a resilience index defined at the individual level, combining individual, household, community, and societal resilience factors: www.lrfoundation.org.uk/wrp/world-ri...

Risk perceptions do not seem to change differently for people with low or high resilience.
Figure 3 in the paper
fdabl.bsky.social
I use hierarchical Bayesian multinomial regression modeling, which allows me to investigate what level of risk perception is different for people with hazard experience.

Importantly, people with hazard experience tend to view climate change as a very serious threat, not just a somewhat serious one!
Figure S2 in the paper
fdabl.bsky.social
I leverage this data source to assess whether experience with different hazards is associated with increased climate risk perception. The individual-level effects are consistent and, for some hazards, comparable to having a university degree! Effects at the country level are small & uncertain
Figure 2 in the paper
fdabl.bsky.social
I use the World Risk Poll data, which includes information on whether respondents have personally experienced a climate-related hazard in the last five years, whether they perceive climate change as a threat to their country, and a multidimensional resilience indicator. www.lrfoundation.org.uk/wrp
Figure 1 in the paper
fdabl.bsky.social
🔥 Climate hazard paper published!

Using nationally representative survey data from 142 countries (N = 128,093), I find that people who have experienced a climate-related hazard are more likely to consider climate change a 𝘷𝘦𝘳𝘺 𝘴𝘦𝘳𝘪𝘰𝘶𝘴 𝘵𝘩𝘳𝘦𝘢𝘵. 🧵

Link: iopscience.iop.org/article/10.1...
Abstract and title of the paper Figure 1 in the paper Figure 2 in the paper
fdabl.bsky.social
"In March, the U.N. considered a resolution to establish an International Day of Hope and an International Day of Peaceful Coexistence. On both propositions, the United States voted 'no'".
volts.wtf
David Wallace-Wells is the best climate journalist working today, arguably the best journalist period, and this is a fantastic summary of where things stand on climate change:
It Isn’t Just the U.S. The Whole World Has Soured on Climate Politics.
www.nytimes.com
Reposted by Fabian Dablander
samuelfinnerty.bsky.social
Last week I was at the BPS Social Psych Conference @bps-social-psych.bsky.social in Oxford @ox.ac.uk The theme was Beyond Tribalism—bringing different traditions together organised by @shelleymckeown.bsky.social @swedishprotests.bsky.social @nascherme.bsky.social
Some reflections in a thread 👇
fdabl.bsky.social
We hope that our piece can help inform wider strategic reflections. You can find a more extensive summary on LinkedIn: www.linkedin.com/posts/fabian...

If you are unfamiliar with Kevin's work, I highly recommend his two insightful books 𝘓𝘦𝘷𝘦𝘳𝘴 𝘰𝘧 𝘗𝘰𝘸𝘦𝘳 and 𝘈𝘣𝘰𝘭𝘪𝘴𝘩𝘪𝘯𝘨 𝘍𝘰𝘴𝘴𝘪𝘭 𝘍𝘶𝘦𝘭𝘴.
🚨 Growing the climate movement by centering transformative adaptation 🚨 We have crossed seven out of nine planetary boundaries and global heating is accelerating, yet climate mobilization remains… | ...
🚨 Growing the climate movement by centering transformative adaptation 🚨 We have crossed seven out of nine planetary boundaries and global heating is accelerating, yet climate mobilization remains far...
www.linkedin.com
fdabl.bsky.social
🔥Growing the climate movement by centering transformative adaptation

In a new preprint, Kevin Young, @swaziadam.bsky.social, & I advocate for transformative adaptation as a framework to better connect people's material interests with climate change and increase mobilization. osf.io/preprints/so...
Title page and abstract of our new preprint
Reposted by Fabian Dablander
zohrankmamdani.bsky.social
I am once again asking you to stop sending us money.

But we do need your time. ⏰

zohranfornyc.com/events
fdabl.bsky.social
Doing the Lord's work, Julia & Vincent! The marginaleffects package is so damn good, happy I can refer to this paper now in reviews :-)
Reposted by Fabian Dablander
dingdingpeng.the100.ci
Ever stared at a table of regression coefficients & wondered what you're doing with your life?

Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social)
Preprint: doi.org/10.31234/osf...
Website: j-rohrer.github.io/marginal-psy...
Models as Prediction Machines: How to Convert Confusing Coefficients into Clear Quantities

Abstract
Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear models, but is more challenging for more complex models with, for example, categorical variables, interactions, non-linearities, and hierarchical structures. Here, we introduce an alternative approach to making sense of statistical models. The central idea is to abstract away from the mechanics of estimation, and to treat models as “counterfactual prediction machines,” which are subsequently queried to estimate quantities and conduct tests that matter substantively. This workflow is model-agnostic; it can be applied in a consistent fashion to draw causal or descriptive inference from a wide range of models. We illustrate how to implement this workflow with the marginaleffects package, which supports over 100 different classes of models in R and Python, and present two worked examples. These examples show how the workflow can be applied across designs (e.g., observational study, randomized experiment) to answer different research questions (e.g., associations, causal effects, effect heterogeneity) while facing various challenges (e.g., controlling for confounders in a flexible manner, modelling ordinal outcomes, and interpreting non-linear models).
Figure illustrating model predictions. On the X-axis the predictor, annual gross income in Euro. On the Y-axis the outcome, predicted life satisfaction. A solid line marks the curve of predictions on which individual data points are marked as model-implied outcomes at incomes of interest. Comparing two such predictions gives us a comparison. We can also fit a tangent to the line of predictions, which illustrates the slope at any given point of the curve. A figure illustrating various ways to include age as a predictor in a model. On the x-axis age (predictor), on the y-axis the outcome (model-implied importance of friends, including confidence intervals).

Illustrated are 
1. age as a categorical predictor, resultings in the predictions bouncing around a lot with wide confidence intervals
2. age as a linear predictor, which forces a straight line through the data points that has a very tight confidence band and
3. age splines, which lies somewhere in between as it smoothly follows the data but has more uncertainty than the straight line.
Reposted by Fabian Dablander
charliejgardner.bsky.social
Social movements play an essential role pushing for action on climate and nature, and it’s now widely recognised that support from scientists can make them more effective

But not everyone can take to the streets or risk arrest

That’s ok – there’s lots we can do in other ways

🧵1/
Reposted by Fabian Dablander
davidho.bsky.social
Motherfucking wind farms…
Reposted by Fabian Dablander
davidho.bsky.social
Everything we've made will break, buildings and streets will crumble, and cities will be abandoned. But the CO₂ we emit into the atmosphere will persist for centuries, and the climatic impacts will last longer than human civilization has existed. This is our legacy for the future.
fdabl.bsky.social
As a side note: We submitted this paper over a year ago, but it was only published today due to a slow review process. In the meantime, Last Generation has disbanded and given rise to two new groups, which is a welcome strategic refocus: theecologist.org/2025/jun/20/...
After the 'Last Generation'
The German climate protest group Letzte Generation is now history. But what will succeed it?
theecologist.org