I Held One Lever Still
A free model and a free server are two levers. Move both, then quote one pass rate, and you did not review a model. You published a blend. I will not publish a blend. You know the afternoon this happens. The endpoint answers. The box is up. The suite is already on disk, so you fire it, crop the fraction, and feel done. Which lever moved? If the honest answer is both, plus a retry you forgot to…
The author argues against reporting a test outcome as a blend of factors, emphasizing the importance of isolating variables. They illustrate this by describing a two-by-two grid with one lever held still, referring to the model and server as the levers. The author presents the setup, mentioning that the endpoint answers and the suite is ready on disk, implying the focus is on replicating conditions accurately.
They distinguish between holding the server or model still, noting that both changes would result in different observations. The author stresses the significance of maintaining consistent conditions to accurately assess the impact of individual factors, cautioning against conflating unrelated components or fabricating data to support a desired outcome.
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