You have 2 beliefs A and B, and 2 experiments E_A and E_B corresponding to them, which might falsify them. You must wait a year between the two experiments.
On what basis do you decide which experiment to prioritize? Make suitable assumptions.
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Some combination of "how accurate and precise is each experiment" and "how much would a falsification change my behavior and its effects". There's precise math that a Bayesian could apply, but usually I just eyeball it, as things are rarely equal enough to matter in practice.
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(These tradeoffs are my bread-and-butter. Ops folks live in a world full of unknown unknowns, and have to juggle experimentation budget to keep on top of the madness.)
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