← All parts of this equation

Equation 9 · Part 4 · Forty Million Clicks Through One Uneven Door

Symbol f

Yˉn−YˉN=ρR,Y1−ff σY,\bar{Y}_n - \bar{Y}_N = \rho_{R,Y}\sqrt{\frac{1-f}{f}}\,\sigma_Y ,
ff

What this part means

f is one of the signed contributions combined to compute the quantity on the left.

Its job in the formula

f is one of the signed contributions combined to compute the quantity on the left.

The passage around this formula

…indicator), Meng’s identity relates the sample mean to the true population mean as Yˉn−YˉN=ρR,Y1−ff σY\bar{Y}_n - \bar{Y}_N = \rho_{R,Y}\sqrt{\frac{1-f}{f}}\,\sigma_Y . where ρR,Y\rho_{R,Y} is the “data defect correlation” between selection and outcome across the full population, f = n/N is the sampling fraction, and σY\sigma_Y is the outcome’s population standard deviation. The identity’s uncomfortable lesson for any self-selected big-data project is that the error term does not shrink as n grows unless f grows with it — and for a national population sampled through a viral…

Read this part in the article →

Learn the underlying idea

A variable is a named place for a value. Its letter is a local label: x can mean position in one formula and a data point in another.

Open the illustrated variables: a letter stands for a value guide →

See this notation across published equations →

Sources cited in the surrounding passage

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