Blocking Unpacked: Turning Noise into Signal in Experimental Design

In this Deep Dive episode, we dissect blocking: why grouping similar units helps separate treatment effects from nuisance variation, the Fisher ANOVA origin, and how to design blocks in trials and field experiments. We'll walk through practical examples—from clinical trials and soil fertility to within-subject designs—and finish with the rule 'Block what you can, randomize what you cannot' and how modern software enables smarter blocking schemes.

Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.

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