r/CausalInference

2k members
r/CausalInference is a subreddit with 2k members. The most common kinds of discussions are solution requests and advice requests, and the community frequently discusses inference, causal, causal inference, dag, and graph.
Topics and questions about causality and practical means of estimating causal effects.

Popular Themes in r/CausalInference

#1
Solution Requests
: "Causal inference app for non-programmers"
20 posts
#2
Advice Requests
: "How to use causal inference for forecasting?"
13 posts
#3
Self-Promotion
: "Check out my new free, open source software "Mappa Mundi" that does causal DAG extraction from text"
6 posts
#4
Pain & Anger
: "Why is this so brutally hard?"
3 posts
#5
News
: "UC Berkeley Professor David Card, Stanford Professor Guido Imbens win Nobel Prize in economics"
2 posts

Popular Topics in r/CausalInference

#1

Inference

: "Causal Inference app for non-programmers"
44 posts
#2

Causal

: "Causal inference app for non-programmers"
43 posts
#3

Causal Inference

: "How to use Causal Inference for forecasting?"
32 posts
#4

Dag

: "Are all causal statements that are expressible in PO also expressible with Dags?"
7 posts
#5

Graph

: "Effects of all variables in a causal Graph"
5 posts
#6

Estimation

: "Techniques for uplift modelling/CATE Estimation for observational data."
5 posts
#7

Python

: "Convenient CATE estimation in Python via MetaLearners"
4 posts
#8

Data

: "Counterfactual Inference Using Time Series Data"
3 posts
#9

Learning

: "Call for Papers: Causal Data Science Meeting 2023 aims to foster an interdisciplinary dialogue between data scientists from industry and academia regarding causality in machine Learning and AI"
3 posts
#10

Effect

: "Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters"
3 posts

Member Growth in r/CausalInference

Yearly
+461 members(28.9%)

About

GummySearch helps people research Reddit communities by organizing activity, growth, themes, and post-level signals into one place.

This page gives a focused view of r/CausalInference, including current member size, discussion patterns, product reviews, and related communities to explore.

This data is synced periodically so insights stay current and useful for ongoing research.

Last updated: June 23, 2026