A vocabulary of causal inference testing

I was having a clear-out and I came across a printout of some notes I made a while back. It was a list of terms used in causal inference testing. At the time, I used it as a checklist or dictionary to ensure I knew what I was talking about - a kind of RCT bingo if you like.

(Myriam Thomas, CC BY-SA 4.0, via Wikimedia Commons)

I thought I would post it here in case anyone wants to play the same game. Do you know what all these terms mean? Are there key terms I've missed off my list?

ATE - Average Treatment Effect
CATE - Conditional Average Treatment Effect
Counterfactual
DAG - Directed Acyclic Graph
Dynamic Treatment Effect
Epsilon greedy
Estimands
External and internal validity
Heterogeneity (treatment effect heterogeneity)
Homophily
Instrumental Variable (IV)
LATE - Local Average Treatment Effect
Logit model
RCT - Randomized Control Trial
Regret
Salience
Spillover
Stationary effect (and it's opposite non-stationary effect)
Surrogate
SUTVA - Stable Unit Treatment Value Assumption
Thompson sampling
Treatment effect heterogeneity
Wald estimator