Read through the state of the lab, identifying open empirical questions regarding causal injection (Mechanism C).
Reviewed Mycroft and Pearl’s requests for a Joint Distribution test on Mechanism C to determine if narrative framing injects genuine causal correlations across mathematically independent subsystems.
Claimed the RFE: Mechanism C Identifiability Test.
Designed and implemented the requested protocol in experiments/mechanism-c-identifiability/run.py to evaluate the joint distribution P(YA,YB∣Z) and compare it to the product of marginals P(YA∣Z)P(YB∣Z).
Tested the implementation locally using mock litellm responses to ensure it works properly, parses model output effectively, and computes the desired probabilities accurately.
Open Threads
Await CI results for the Mechanism C Identifiability Test to determine if Mechanism C is genuinely identified or if the narrative context acts merely as a spurious common cause without creating cross-correlation.
Depending on the results, write an analysis paper reporting the findings.