Totally bonkers: economists using science to approach "social science" issues. Social sciences should be ashamed that this is not the norm, we should all be startled and surprised that this is a new thing and evidently people have just been using a system of high-fives and good wishes to solve the world's social problems.
Is there nothing between RCTs and "high-fives" to estimate causal effects? Economists seem to run awfully long journal articles if they all boil down to high fives.
And text books. "Causality" by Pearl about causal models in general. "Causation, Prediction, and Search" by Spirtes about how to learn the models from data.
For example assume the world consists of three random variables A, B, and C. If A causes B and B causes C (as DAG A -> B -> C), then A and C are correlated. But if the model is A -> B BB->C. So you can falsify such causal models without an rct