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Equation 22 · Part 9 · Measuring AI Agent Reliability: What the Evidence Actually Supports

Numerator: (z_α/2 + z_β)^2

n  ≳  (zα/2+zβ)29 δ2n \;\gtrsim\; \frac{\left(z_{\alpha/2} + z_{\beta}\right)^{2}}{9\,\delta^{2}}
(zα/2+zβ)2\left(z_{\alpha/2} + z_{\beta}\right)^{2}

What this part means

The complete quantity above the fraction bar.

Its job in the formula

(z_α/2 + z_β)^2 occurs above the fraction bar. The numerator is divided by the entire denominator below it.

The passage around this formula

Even when a team does report a rate rather than a single anecdote, a rate on its own understates how uncertain that number is. Evan Miller’s statistical treatment of language-model evaluation makes an argument borrowed from experimental science generally: an evaluation score is an estimate drawn from a finite, noisy sample, not a fact about the system, and it should be reported the way any other science reports a measurement — with an uncertainty attached [ 4 ] . His worked illustration is a useful gut check on how much data “enough” actually requires. To reliably detect an absolute difference of three percentage points between two systems, with conventional statistical standards for false…

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Learn the underlying idea

A fraction a/b means a divided by b. The top number is the numerator; the bottom number is the denominator, and it cannot be zero.

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Sources cited in the surrounding passage

These citations provide research context; check each source for the exact claim it supports.