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Spillover experiments often fail due to poor treatment distribution. By using a recentered instrumental variable estimator and optimizing your assignment strategy to match your network structure, you can double your effective sample size and gain clearer insights into indirect policy effects.
Learn how to optimize spillover experiments to increase data accuracy and sample efficiency by up to 100% using robust statistical design and IV estimators.
Is Google losing the AI race? We analyze Google's organizational shifts, its distribution advantages, and why structural agility is key to its future success.