One weights all the measurements by their "certainties" \(C={1/ \sigma^2}\)
Each new measurement increases the analysis certainty: \(C_a = C_1 + C_2 + C_3 + ...\)
... provided one knows well the errors \(\sigma_1\), \(\sigma_2\), \(\sigma_3\), ...