Peder M Isager
@isager.bsky.social
Associate professor at Oslo New University College. Dungeon Master. Website: http://pedermisager.netlify.app
Being able to explain which replication efforts are important and why should be helpful both when asking for funding, when convincing journals to take a replication report, and when motivating reserarchers to take on replication in their own work.
Thanks so much for helping to move the discussion!
Thanks so much for helping to move the discussion!
January 29, 2026 at 2:32 PM
Being able to explain which replication efforts are important and why should be helpful both when asking for funding, when convincing journals to take a replication report, and when motivating reserarchers to take on replication in their own work.
Thanks so much for helping to move the discussion!
Thanks so much for helping to move the discussion!
Wonderful! So happy to hear that workshops are including discussion on this :) I think giving researchers clearer direction on how to formulate replication goals and use them to pick targets is going to help a lot with actually getting more replications done in practice.
January 29, 2026 at 2:32 PM
Wonderful! So happy to hear that workshops are including discussion on this :) I think giving researchers clearer direction on how to formulate replication goals and use them to pick targets is going to help a lot with actually getting more replications done in practice.
Very cool to hear! What was the topic of the workshop? :)
January 29, 2026 at 7:16 AM
Very cool to hear! What was the topic of the workshop? :)
Very cool. Speaking of front-door, I have also added features to let you statistically control for variables in the DAG to simulate e.g. back-door criterion.
January 29, 2026 at 7:15 AM
Very cool. Speaking of front-door, I have also added features to let you statistically control for variables in the DAG to simulate e.g. back-door criterion.
Because of course the Germans have their own Pokémon names 😂 Take notes, Språkrådet!
January 29, 2026 at 6:46 AM
Because of course the Germans have their own Pokémon names 😂 Take notes, Språkrådet!
... generate a "plausible" DAG for your research problem that you can play with and simulate data from. I had some success with this for a class project already. Not guaranteed to work of course (AI is not very good at causal inference yet), but it might be worth a try!
January 28, 2026 at 1:37 PM
... generate a "plausible" DAG for your research problem that you can play with and simulate data from. I had some success with this for a class project already. Not guaranteed to work of course (AI is not very good at causal inference yet), but it might be worth a try!
3. If you are working in a field with a large existing literature, you may have some success collaborating with AI to create a plausible SCM for the effects you are studying, including likely confounders, mediators, etc. You can copy-paste such SCMs into the SCM panel of Causion to automatically....
January 28, 2026 at 1:37 PM
3. If you are working in a field with a large existing literature, you may have some success collaborating with AI to create a plausible SCM for the effects you are studying, including likely confounders, mediators, etc. You can copy-paste such SCMs into the SCM panel of Causion to automatically....
2. You might find the "simulate data" feature in Causion interesting. For example, you can simulate data with a certain level of noise and plug that data into a statistical analysis program to help design an analysis plan for identifying causal effects that you can then preregister.
January 28, 2026 at 1:37 PM
2. You might find the "simulate data" feature in Causion interesting. For example, you can simulate data with a certain level of noise and plug that data into a statistical analysis program to help design an analysis plan for identifying causal effects that you can then preregister.
... to communicate your causal beliefs to them than verbally stating the causal relationships you think are at play. Since Causion is a DAG drawing tool, it can help you with this process.
January 28, 2026 at 1:37 PM
... to communicate your causal beliefs to them than verbally stating the causal relationships you think are at play. Since Causion is a DAG drawing tool, it can help you with this process.
That is a very interesting use case. I think you might find three features particularly interesting.
1. DAGs help to formalize intuitions. If you have verbal theories about variables involved in your research and how they're related, presenting your readers with a DAG is often a much clearer...
1. DAGs help to formalize intuitions. If you have verbal theories about variables involved in your research and how they're related, presenting your readers with a DAG is often a much clearer...
January 28, 2026 at 1:37 PM
That is a very interesting use case. I think you might find three features particularly interesting.
1. DAGs help to formalize intuitions. If you have verbal theories about variables involved in your research and how they're related, presenting your readers with a DAG is often a much clearer...
1. DAGs help to formalize intuitions. If you have verbal theories about variables involved in your research and how they're related, presenting your readers with a DAG is often a much clearer...
Please do! I am also planning to use it for teaching in the coming months. All feedback and suggestions for fixes and improvements are most welcome! Because I am building with Codex I can normally implement fixes and changes to the UI (like adding buttons etc.) quite fast.
January 28, 2026 at 11:26 AM
Please do! I am also planning to use it for teaching in the coming months. All feedback and suggestions for fixes and improvements are most welcome! Because I am building with Codex I can normally implement fixes and changes to the UI (like adding buttons etc.) quite fast.
Thanks! It is lightly inspired by the Star Treck Discovery intro :)
January 28, 2026 at 11:23 AM
Thanks! It is lightly inspired by the Star Treck Discovery intro :)
Tagging some potentially interested people: @raphaelmerz.bsky.social @dingdingpeng.the100.ci @jamessteeleii.bsky.social @epiellie.bsky.social @elluetravel.bsky.social @annemscheel.bsky.social @lakens.bsky.social @annaveer.bsky.social @pwgtennant.bsky.social @fdabl.bsky.social @nickchk.com
January 28, 2026 at 9:23 AM
NB: The app is coded with the help of ChatGPT Codex. I have tested it as well as I can, but it may contain bugs and errors. If you spot any, let me know and I will fix them.
January 28, 2026 at 9:23 AM
NB: The app is coded with the help of ChatGPT Codex. I have tested it as well as I can, but it may contain bugs and errors. If you spot any, let me know and I will fix them.
The app will always be free to use, and the app code is open source on Github: github.com/pederisager/....
GitHub - pederisager/causion: An app for visualizing the expected consequences of changing variable values in a DAG. Gain an intuition for the relationship between correlation and causation. Created w...
An app for visualizing the expected consequences of changing variable values in a DAG. Gain an intuition for the relationship between correlation and causation. Created with ChatGPT. - GitHub - pe...
github.com
January 28, 2026 at 9:23 AM
The app will always be free to use, and the app code is open source on Github: github.com/pederisager/....
I hope Causion can be of use to methods teachers and students who want to learn about causal inference and its role in statistics. The app is designed to be easy to use interactively (e.g. as part of a lecture, or to whip up an example from a course book while reading).
January 28, 2026 at 9:23 AM
I hope Causion can be of use to methods teachers and students who want to learn about causal inference and its role in statistics. The app is designed to be easy to use interactively (e.g. as part of a lecture, or to whip up an example from a course book while reading).
If you want to try it out, I’ve posted a tutorial video on youtube that explains all the core functionality: www.youtube.com/watch?v=C3fb....
Causion App Tutorial: Build, manipulate, and simulate data from DAGs
YouTube video by Peder Isager
www.youtube.com
January 28, 2026 at 9:23 AM
If you want to try it out, I’ve posted a tutorial video on youtube that explains all the core functionality: www.youtube.com/watch?v=C3fb....
The app is available online at causion.pedermisager.org
causion-app
causion.pedermisager.org
January 28, 2026 at 9:23 AM
The app is available online at causion.pedermisager.org
For many years I’ve wanted a tool to help me visualize causal inference rules, ”play out” causal mechanisms in DAGs, and quickly study what happens in data when I change something in a DAG. Causion lets me do all of this in a simple and intuitive way.
January 28, 2026 at 9:23 AM
For many years I’ve wanted a tool to help me visualize causal inference rules, ”play out” causal mechanisms in DAGs, and quickly study what happens in data when I change something in a DAG. Causion lets me do all of this in a simple and intuitive way.
That's what I was thinking of at least :) The paper, all commentaries and our response to commentaries are now all open access in Meta-Psychology: open.lnu.se/index.php/me...
LnuOpen
| Meta-Psychology
open.lnu.se
January 28, 2026 at 9:13 AM
That's what I was thinking of at least :) The paper, all commentaries and our response to commentaries are now all open access in Meta-Psychology: open.lnu.se/index.php/me...