Can the Efron-Petrosian Method Recover the Inverse-Square Distance Law for Simulated Radio Pulsar Fluxes?

The episode discusses a paper testing if the Efron-Petrosian Method can recover the inverse-square distance law using simulated radio pulsar fluxes. The hosts find that the method fails unless data is cut by flux, not signal-to-noise ratio (SNR), suggesting detection thresholds significantly skew results and misidentify selection effects as physical deviations.

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