This question evaluates a data scientist's skills in cohort analysis, time-dependent behavioral metrics, and rigorous statistical comparison under challenges such as right-censoring and heavy-tailed posting distributions.

You have multiple creator cohorts (e.g., by signup month or first-post week). For each cohort, you have posting activity over time. Your goal is to determine whether posting behavior is materially different across cohorts, accounting for time since cohort start and data issues like right-censoring and heavy-tailed distributions.
Propose how you would evaluate whether posting patterns are the same or different among cohorts.
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