Add to ORKGIt has been well argued that correlation does not imply causation. Is the converse true: does non-correlation imply non-causation, or more plainly, does causation imply correlation? Here we argue that this is a useful intuition of the semantic essence of the faithfulness assumption of causal graphs. Although the statement is intuitively reasonable, it is not categorically true (but it is true with probability one), and this brings into question the validity of causal graphs. This work reviews Cartwright’s arguments against faithfulness and presents a philosophical case in favor of the faithfulness assumption. This work also shows how the causal graph formalism can be used to troubleshoot scenarios where faithfulness is violated
In this paper several definitions of probabilistic causation are considered, and their main drawback...
One of the core assumptions in causal discovery is the faithfulness assumption, i.e., assuming that ...
In this paper several definitions of probabilistic causation are considered, and their main drawback...
Current methods of detecting causal relationships from data rely on analysing the patterns of correl...
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
Within the causal modeling literature, debates about the Causal Faithfulness Condition (CFC) have co...
In the causal inference framework of Spirtes, Glymour, and Scheines (SGS), inferences about causal r...
Endre Begby and Kathleen Creel for ongoing discussion and feedback on drafts, and to Creel for prese...
I present three reasons why philosophers of science should be more concerned about violati...
I present three reasons why philosophers of science should be more concerned about violati...
I present three reasons why philosophers of science should be more concerned about violations of cau...
The causal faithfulness condition, which licenses inferences from probabilistic to causal independen...
I present three reasons why philosophers of science should be more concerned about violati...
In this paper several definitions of probabilistic causation are considered, and their main drawback...
In this paper several definitions of probabilistic causation are considered, and their main drawback...
One of the core assumptions in causal discovery is the faithfulness assumption, i.e., assuming that ...
In this paper several definitions of probabilistic causation are considered, and their main drawback...
Current methods of detecting causal relationships from data rely on analysing the patterns of correl...
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
Within the causal modeling literature, debates about the Causal Faithfulness Condition (CFC) have co...
In the causal inference framework of Spirtes, Glymour, and Scheines (SGS), inferences about causal r...
Endre Begby and Kathleen Creel for ongoing discussion and feedback on drafts, and to Creel for prese...
I present three reasons why philosophers of science should be more concerned about violati...
I present three reasons why philosophers of science should be more concerned about violati...
I present three reasons why philosophers of science should be more concerned about violations of cau...
The causal faithfulness condition, which licenses inferences from probabilistic to causal independen...
I present three reasons why philosophers of science should be more concerned about violati...
In this paper several definitions of probabilistic causation are considered, and their main drawback...
In this paper several definitions of probabilistic causation are considered, and their main drawback...
One of the core assumptions in causal discovery is the faithfulness assumption, i.e., assuming that ...
In this paper several definitions of probabilistic causation are considered, and their main drawback...