What are 3 Requirements for Causal Inference?

1) Sufficiency: This requires that all relevant background variables be taken into consideration when making an inference. Such variables include factors such as the size and scope of the population, the context of the experiment, and the reliability of the findings. 2) Independence: This requires that the influence of a particular variable does not depend on the value of another. In other words, the results of observed causalities should remain invariant regardless of the initial conditions. 3) Internal Validity: This requires that your conclusions are based on accurate and reliable data. It also includes ensuring that the experiment was carefully constructed, the variables measured correctly, and all confounding variables controlled. This is essential to establish causality accurately and confidently.