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Equation 5 · Part 6 · Measuring Claude Code and Agentic Development Tools: Evidence, Benchmarks, and Uncertainty

subtraction

SE(p^)=p^(1−p^)n.\mathrm{SE}(\hat p) = \sqrt{\frac{\hat p (1 - \hat p)}{n}}.
subtraction

What this part means

Subtract the following term or group from the preceding one. A leading minus marks a negative quantity.

Its job in the formula

Subtract the following term or group from the preceding one. A leading minus marks a negative quantity.

The passage around this formula

That instability is worth making precise rather than gesturing at. If a benchmark of n instances is treated as n independent Bernoulli trials with true resolve probability p , the standard error of the observed proportion p^\hat p is SE(p^)=p^(1−p^)n\mathrm{SE}(\hat p) = \sqrt{\frac{\hat p (1 - \hat p)}{n}}. For n = 500 and p^\hat p near one half, this is on the order of two percentage points — before accounting for the additional variance introduced by sampling temperature, agentic scaffolding, or a different number of retries per problem. A published gap of four or five points between two systems evaluated under different harnesses, different reasoning-effort settings, and different retry budgets is not obviously a capability gap at all; it may be…

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Learn the underlying idea

Addition combines quantities; subtraction measures the signed difference between them. Parentheses show what is combined before the rest of the expression is evaluated.

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Sources cited in the article section

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