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Use the assumed 30% risk reduction for recipients and one-to-one transfers to distinct participants in the equal-sized opposite arm. Receipt fractions become 80% under intervention assignment and 20% under control assignment. ThusFor 30,000 participants per arm, the expected counts areThe original benefit $1.5$ per thousand becomes $0.9$ per thousand: symmetric treatment crossover attenuates a risk difference by $1-2(0.2)=0.6$. Expected counts still sum to 255, since intact transfers preserve the total number of recipients. These predictions assume unchanged receipt-specific risks and distinct control recipients. Loss, sharing or repeated transfers would require a different receipt model.